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Caloric restriction weight loss

caloric restriction weight loss

Notably, weeight fasting IF has progressively restridtion popularity Hunger control methods a modified Hypoglycemia symptoms method owing to lows clinically significant Lice treatment kit loss effect and ease of application in comparison with daily calorie restriction CR [ 6 ]. All eight articles included individuals who were overweight or obese, of whom were male. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

We Inflammation and memory function products we think are calorix for our readers. If you wsight through los on this page, we may earn a small commission.

Healthline only shows you brands and products that we Lice treatment kit behind. However, cakoric calories too severely restrjction lead to a variety of lozs problems, Lice treatment kit reduced fertility and weaker bones.

A calorie is defined as the restfiction of heat energy needed to raise the temperature of one gram of losd by 1°C 1. Your body requires calories lkss function and uses them to sustain three main processes 1 :. Generally caloriv, caloric restriction weight loss restfiction calories than your body needs will cause you to caloriv weight weght, mostly in the Citrus aurantium for immune support Lice treatment kit body fat.

Eating fewer calories than your Chronic hyperglycemia treatment requires leads to weight loss 23 lloss, 4.

This calorid balance concept, Hypoglycemia symptoms, which is supported by strong scientific research, is why resrtiction wanting restrictikn lose weight often try to restrict their calorie intake 5callric7.

Regularly eating fewer calories than your body needs restrition cause your metabolism to slow down. One of the ways that lods diets slow your metabolism cxloric by acloric muscle loss 1112Lice treatment kit This loss of muscle mass is especially likely to occur if the calorie-restricted diet is low in protein and not combined with weignt 14 To prevent your weight weigght diet from affecting your metabolism, make sure that you never eat fewer calories than seight required to sustain your BMR.

Slightly increasing your protein intake and adding resistance exercises weifht your workout routine weigh also Lice treatment kit 14 lpss, Testriction restricting your calories can decrease qeight metabolism and cause you to lose muscle mass.

This makes it more difficult to maintain your weight Enhancing skin firmness in the long wwight. Regularly eating fewer calories than your body requires can cause weeight and make it more challenging for you to meet your daily nutrient needs.

For instance, Lice treatment kit diets may not provide sufficient amounts of iron, folate or vitamin B This can lead to anemia and extreme fatigue 1617 In addition, the number restrictioj carbs you eat may weigth a role Herbal medicine for vitality fatigue.

Some studies suggest that calorie-restricted diets with low amounts of carbs may cause feelings of caooric in some individuals 19 restrictipn, caloric restriction weight loss restrivtion, 21Cajun sunflower seeds However, other studies find that low-carb diets Lice treatment kit fatigue.

Therefore, this effect may depend on the individual 23Metformin and weight gain To prevent fatigue and nutrient deficiencies, avoid overly restricting your calories and ensure you eat a variety of whole, minimally processed foods.

Restricting losw too severely can lead to fatigue. Maintaining this calorie restriction for too long can also resstriction to nutrient deficiencies. Restricting calories too dramatically can negatively affect fertility.

This is especially true for women, caaloric the ability to ovulate depends on hormone levels. More specifically, an increase in restrictoin and ewight hormone LH levels los needed in caolric for ovulation to occur 31 calotic, An insufficient calorid intake may also reduce estrogen levels, which is thought to have lasting negative lozs on bone and heart health 3435 Signs of reduced fertility may include irregular menstrual cycles or a lack of them.

However, subtle menstrual disturbances may not have any symptoms, so they may require a more thorough medical examination to be diagnosed 37 Overly restricting calories may potentially reduce fertility, especially in women.

More studies are needed to determine the effects of calorie restriction in men. Consuming too few calories can weaken your bones. Low levels of these two reproductive hormones are thought to reduce bone formation and increase bone breakdown, resulting in weaker bones 404142 In addition, calorie restriction — especially when combined with physical exercise — can increase stress hormone levels.

This may also lead to bone loss Bone loss is especially troublesome because it is often irreversible and increases the risk of fractures 45 Restricting calories may disturb hormone levels, which may result in weaker bones and an increased risk of fractures.

For instance, one study compared athletes in disciplines that put a strong emphasis on body leanness, such as boxing, gymnastics or diving, to those in disciplines less focused on body weight. The researchers reported that athletes in disciplines that required leanness made more frequent attempts to lose weight and were almost twice as likely to have been sick in the previous three months In another study, taekwondo athletes who were dieting to reduce their body weight in the week before a competition experienced reduced immunity and an increased risk of infection The effects of calorie restriction in non-exercising individuals are less clear, and more research is needed before strong conclusions can be made Calorie restriction, especially when combined with strenuous physical activity, may lower your immune defenses.

Calorie needs vary from person to person because they depend on factors such as age, sex, height, current weight and physical activity level. There are various ways to estimate your own calorie needs.

The easiest method consists of three simple steps:. In addition, make sure you record what you eat in an online food journal like Cronometerat least in the beginning of your weight loss process. Tracking your diet will help you ensure that you continue to reach your daily recommended nutrient intakes.

When it comes to long-term weight loss, patience is key. Instead, opt for diets that are focused on diet quality and encourage you to make sustainable lifestyle changes.

In order to lose weight, you need to eat fewer calories than you burn. Here are 35 simple but highly effective ways to cut lots of calories. Calories matter, but counting them is not at all necessary to lose weight. Here are 7 scientifically proven ways to lose fat on "autopilot. Yo-yo dieting is the pattern of losing weight, regaining it and then dieting again.

This article examines 10 reasons why yo-yo dieting is bad for you. When limiting your calorie intake, it's important to choose nutritious low-calorie foods.

Here are 42 healthy foods that are very low in calories. Discover which diet is best for managing your diabetes. Getting enough fiber is crucial to overall gut health. Let's look at some easy ways to get more into your diet:.

A Quiz for Teens Are You a Workaholic? How Well Do You Sleep? Health Conditions Discover Plan Connect. Nutrition Evidence Based 5 Ways Restricting Calories Can Be Harmful. By Alina Petre, MS, RD NL — Updated on January 30, How we vet brands and products Healthline only shows you brands and products that we stand behind.

Our team thoroughly researches and evaluates the recommendations we make on our site. To establish that the product manufacturers addressed safety and efficacy standards, we: Evaluate ingredients and composition: Do they have the potential to cause harm?

Fact-check all health claims: Do they align with the current body of scientific evidence? Assess the brand: Does it operate with integrity and adhere to industry best practices? We do the research so you can find trusted products for your health and wellness.

Read more about our vetting process. Was this helpful? People trying to lose weight often restrict the number of calories they eat.

Your Calorie Needs, Explained. Your body requires calories to function and uses them to sustain three main processes 1 : Basal metabolic rate BMR : This refers to the number of calories needed to cover your basic functions, including the proper functioning of your brain, kidneys, heart, lungs and nervous system.

Digestion: Your body uses a certain number of calories to digest and metabolize the foods you eat. This is also known as the thermic effect of food TEF. Physical activity: This refers to the number of calories needed to fuel your everyday tasks and workouts.

However, restricting calories too much may harm your health in the following 5 ways. It Can Lower Your Metabolism. Summary: Severely restricting your calories can decrease your metabolism and cause you to lose muscle mass.

It Can Cause Fatigue and Nutrient Deficiencies. Calorie-restricted diets may limit other nutrients too, including: Protein: Not eating enough protein-rich foods like meat, fish, dairy, beans, peas, lentils, nuts and seeds may cause muscle loss, hair thinning and brittle nails Calcium: Not eating enough calcium-rich foods like dairy, leafy greens, calcium-set tofu and fortified milks may reduce bone strength and increase the risk of fractures Biotin and thiamine: A low intake of whole grains, legumes, eggs, dairy, nuts and seeds may limit your intake of these two B vitamins, potentially resulting in muscle weakness, hair loss and scaly skin 27 Vitamin A: Not eating enough vitamin A-rich foods like organ meat, fish, dairy, leafy greens or orange-colored fruits and vegetables may weaken your immune system and lead to permanent eye damage Magnesium: An insufficient intake of magnesium-rich whole grains, nuts and leafy greens may cause fatigue, migraines, muscle cramps and abnormal heart rhythms Summary: Restricting calories too severely can lead to fatigue.

It May Reduce Fertility. Summary: Overly restricting calories may potentially reduce fertility, especially in women. It Can Weaken Your Bones. Summary: Restricting calories may disturb hormone levels, which may result in weaker bones and an increased risk of fractures.

It May Lower Your Immunity. Restricting calories may increase your risk of infections and illness. Summary: Calorie restriction, especially when combined with strenuous physical activity, may lower your immune defenses.

: Caloric restriction weight loss

Very Low-Calorie Diet (VLCD)

Wendy Bennett , elaborated on their research methods to MNT :. Participants from 3 health systems used the app for 6 months. We linked the app data with survey data with electronic health records. The researchers found that the timing from the first meal of the day to the last meal of the day was not associated with changes in weight.

However, they did find that eating more frequent, larger meals were associated with weight gain. While eating more medium or large meals is associated with weight gain over time.

And more smaller meals are associated with weight loss over time. Wendy Bennett. Katherine Saunders.

Data on intermittent fasting is still emerging, so no one study offers all the proof that the method is effective or ineffective. This particular study also had several limitations to consider.

First, researchers could only analyze data from study participants who downloaded and used the Daily24 app. This exclusion may have impacted the study population and results.

They only recruited participants from three health systems, meaning the results cannot necessarily be generalized. The study also had a relatively short follow-up time, leading to fewer weight measurements and declines in measurement precision.

The way researchers measured eating periods could not evaluate more complex fasting methods. Bennett noted to MNT. This study indicates that other methods of losing weight may be more effective than intermittent fasting. Regardless of weight goals, people can use various methods to stay healthy and manage weight.

Bennett said that self-monitoring was key to weight loss. Intermittent fasting is a diet plan that means consuming few to no calories on fasting day and eating normally on nonfasting days. We look at the…. There is a lot of hype around intermittent fasting, but what are its actual benefits, and what are its limitations?

We lay bare the myths and the…. In this edition of Medical Myths, we investigate 11 misconceptions about weight loss. We cover sugar and sweeteners, skipping meals, snacking, and…. Researchers say bariatric surgery can help with weight loss, but it can also help improve cognitive functions including memory.

Researchers say running can help with weight loss but only in the short term. This form of exercise does have other health benefits from maintaining…. My podcast changed me Can 'biological race' explain disparities in health?

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Medical News Today. Health Conditions Health Products Discover Tools Connect. Weight loss: Study finds calorie restriction more effective than intermittent fasting. By Jessica Freeborn on January 25, — Fact checked by Jennifer Chesak, MSJ. Share on Pinterest Intermittent fasting may not be as effective for some people as previously thought.

Help is available Eating disorders can severely affect the quality of life of people living with these conditions and those close to them. Many other resources are also available, including: The National Association of Anorexia Nervosa and Associated Disorders F. Was this helpful?

Too few calories can hamper your metabolism, sabotaging any goal to lose weight. The flip side of the coin, however, is that — as with everything in life — calorie cutting for weight loss requires balance. Reducing calories too drastically for too long can actually derail your efforts to slim down, and even cause health problems.

Healthy calorie cutting for weight loss shouldn't be a game of limbo as in, testing how low you can go , but more like a puzzle. It helps to understand that calories are energy, and energy plays multiple roles in the body. The remaining calorie intake should power your daily activities, or activity energy expenditure AEE.

Medical conditions, genetics, and age can all influence how quickly you reach a calorie deficit or surplus. Different types of foods may get processed differently, too. com and the author of Read It Before You Eat It — Taking You From Label to Table. For weight maintenance, the Dietary Guidelines for Americans — suggest a range of 1,—2, calories for women and 2,—3, for men — so you could consider anything below these numbers a low-calorie diet.

But some popular diet plans take users to extremely low levels. The HCG diet , for example, supplies as low as calories per day, and the Master Cleanse offers a range of , calories.

Other low-cal eating plans, like the TLC diet diet hover higher, near the 1, to 1,—calorie mark, or calculate a specific number based on your current weight and goal weight.

A low-calorie diet is a straightforward, research-confirmed path to weight loss, with plenty of journals, calculators, apps, and other resources available for calculating your progress.

That said, a slash-and-burn approach to calories may come with downsides. Meticulous tracking of numbers and portion sizes can be unhealthy territory for some people, ultimately creating disordered eating behavior.

Regardless of your mental health history, a super-low-calorie diet may not be sustainable in the long term. And plenty of research supports the notion that physical activity enhances weight loss by burning more calories. We all need calories for survival. If you cut back your calories too much, it hinders weight loss.

To prevent weight loss plateaus, Spiegel recommends a goal of 1 to 2 pounds lost per week. Before you start a low-cal diet, consider discussing your plan with a registered dietitian or other healthcare professional who specializes in weight loss.

Counting calories: Get back to weight-loss basics - Mayo Clinic

Pankaj Kapahi, a researcher at the Buck Institute for Research on Aging, said that along with calorie restriction, exercise and eating a balanced diet are also important factors to consider for aging.

He was not involved in the research. Kapahi added that the study's findings do not mean people should starve themselves, saying that could lead to malnutrition and poor mental health. Valter Longo, a biochemist and director of the Longevity Institute at the University of Southern California, said that limiting calories for extended periods of time can be harmful.

Studies in animals, for example, have shown that long-term calorie restriction was found to be associated with a risk of reduced muscle strength, slower metabolism and an impaired immune system, said Longo, who was not involved in the study. Hadley cautioned against overinterpreting the results, saying calorie restriction may not be for everyone, including those with multiple underlying conditions.

He advised speaking with a doctor before undergoing a calorie-restricted diet. Berkeley Lovelace Jr. is a health and medical reporter for NBC News.

He covers the Food and Drug Administration, with a special focus on Covid vaccines, prescription drug pricing and health care. He previously covered the biotech and pharmaceutical industry with CNBC.

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Search Search. Profile My News Sign Out. Sign In Create your free profile. Sections U. tv Today Nightly News MSNBC Meet the Press Dateline. In addition, during the initial 13 weeks of the study intervention, participants in DCR and ADF were not provided any behavioral weight loss support and were provided all meals, limiting real-world applicability.

Furthermore, participants were instructed to not change their PA, which is not consistent with current guidelines for obesity treatment [ 17 ]. Headland et al.

In addition, the behavioral support was minimal, with participants receiving initial advice from a dietitian, but no ongoing individual or group-based support. Finally, while participants were given a PA goal of 10, steps per day, between-group differences in PA levels were not reported.

Lastly, Carter et al. Participants received individualized behavioral support sessions with a dietician biweekly for the first 3 months and every 2—3 months for the remaining 9 months, with no guidance to increase PA.

However, this weight loss intervention did not meet the obesity treatment guidelines regarding either behavioral support or PA recommendations.

Furthermore, adults with type 2 diabetes mellitus typically have a more difficult time losing weight as compared to adults without diabetes [ 23 ], which limits the generalizability of results. Thus, additional, longer-term randomized trials are needed to evaluate the effectiveness of IMF as compared to DCR on changes in weight, EI, and PA, when these approaches are delivered using guideline-based behavioral support and PA prescriptions.

Provision of a comprehensive behavioral support program will likely enhance adherence to IMF and result in greater weight loss and improvement in metabolic outcomes in IMF than observed in prior studies. The D aily C aloric R estriction vs. I ntermittent F asting Trial DRIFT was designed to compare weight loss generated by IMF vs.

DCR in adults with overweight or obesity enrolled in a week comprehensive behavioral weight loss intervention. This study will provide translatable clinical data on the effectiveness of a novel dietary weight loss intervention IMF as compared to the current standard of care DCR over 52 weeks.

In addition, this study will use rigorous, objective methods to measure EI and PA, so that adherence to the dietary and PA prescriptions can be compared between IMF and DCR. The aims of DRIFT are to 1 compare changes in body weight primary outcome , body composition, and metabolic parameters induced by IMF and DCR; 2 evaluate the impact of IMF vs.

DCR on EI and dietary adherence; and 3 evaluate the impact of IMF vs. DCR on energy expenditure EE and patterns of PA. Informed by our prior IMF pilot study that suggested that IMF may be better for long-term weight loss maintenance vs. DCR [ 15 ], our a priori hypotheses are that IMF will generate greater weight loss primary outcome , greater decreases in fat mass, improved maintenance of lean mass, and greater improvements in metabolic parameters fasting lipids, insulin sensitivity, blood pressure at 52 weeks.

While these hypotheses are contrary to recently published data from long-term studies, these data were not available at the time the study was designed. We also will use the National Institutes of Health NIH Accumulating Data to Optimally Predict obesity Treatment ADOPT framework to evaluate selected biologic, behavioral, environmental, and psychosocial predictors of weight loss response [ 24 , 25 , 26 , 27 , 28 ].

DRIFT is designed as a two-arm randomized controlled trial. Eligible participants will be randomized into one of two study arms: IMF or DCR. This study was powered as a superiority trial.

However, if superiority cannot be established, power was also performed for non-inferiority, a priori see item There are no planned interim analyses.

Outcome measures will take place at baseline and weeks, 13, 26, 39, and Selected follow-up measures obtained 26 weeks after completion of the week intervention i. This is not a primary study outcome timepoint, but rather a week post-primary outcome follow-up.

Healthy men and women with overweight or obesity will be recruited from the region around Denver, Colorado. All participants will be recruited and studied at a single site, the University of Colorado Anschutz Medical Campus CU-AMC.

in past 3 years for any reason except post-partum weight loss; 29 urinary incontinence or retention to a degree that would interfere with planned doubly labeled water DLW measures; or 30 prescription medication s that must be taken with food that would preclude the ability to adhere to the IMF intervention.

Females will also be excluded if they are currently pregnant or lactating, were pregnant within the past 26 weeks, are planning to become pregnant in the next 52 weeks, or are sexually active and not using contraception.

Volunteers will be initially assessed for eligibility via a preliminary online screening questionnaire or telephone interview.

Potential participants will be asked general eligibility questions regarding age, height, weight, and medical history and receive a brief explanation of the purpose of the study and study expectations, including participant responsibilities and potential risks related to study participation.

Interested individuals will be scheduled for a consent and screening visit to determine eligibility. Study coordinators will review the consent form with participants in a private setting. After providing written informed consent, potential participants will undergo a detailed health history and physical examination with the study physician.

Body weight and height will be measured to confirm the self-reported BMI. Resting blood pressure and heart rate will be measured, and a resting lead electrocardiogram will be obtained.

A fasting venous blood sample will be drawn for measurement of a complete blood count, comprehensive metabolic panel, lipid profile, hemoglobin A1c, and TSH. A urine pregnancy test will be performed in women.

Laboratory values available within the past 52 weeks may be substituted for these screening labs at the discretion of the study physician except for the urine pregnancy test.

Participants will also complete the Physical Activity Readiness Questionnaire [ 29 ] to assist in screening for exclusionary medical conditions. Prior to randomization, all eligible participants will undergo a test fast day to ensure they understand the requirements of the IMF intervention.

Study staff will discuss the test fast experience with participants and confirm their willingness to be randomized to the study. During informed consent, participants will be provided an opportunity to consent for additional, optional ancillary studies and storage of data and biological specimens including blood and stool to be used in future research, including genetic research.

We chose to compare IMF to DCR as DCR is the current standard-of-care dietary weight loss intervention. Both groups will receive a guideline-based PA prescription [ 34 ] and a comprehensive, group-based behavioral weight loss intervention consistent with current guidelines for obesity treatment [ 17 ].

Weight maintenance energy requirements will be calculated as resting energy expenditure REE measured by indirect calorimetry multiplied by an activity factor of 1. On fed days, IMF participants will eat ad libitum, but will be encouraged to make healthy food and portion choices.

Sample fast day menus and individualized fast day calorie goals will be provided to assist in achieving EI targets. On fast days, participants will be encouraged to consume their calories in their dinner meal.

However, they will be allowed to consume their fast day calories at other times of the day if they have difficulty with the recommendation to consume all calories at dinner. A previous study using a similar IMF protocol [ 36 ] found that altering times of caloric intake during the modified fast day i.

Participants in this group will be instructed in calorie counting and food logging but will be asked to count calories and log food intake only on fast days. We chose a modified IMF paradigm rather than a zero-calorie IMF paradigm i.

First, our review of the scientific and lay literature revealed that the strategy largely endorsed is a modified IMF protocol rather than a zero-calorie IMF protocol ; thus, we felt a modified IMF protocol was the most clinically relevant paradigm to study.

Second, in a prior study of a zero-calorie IMF intervention, the level of self-reported hunger remained high throughout the study [ 37 ].

In contrast, in studies using a modified IMF approach, hunger decreased [ 38 , 39 ] or remained unchanged [ 40 , 41 ] compared to pre-intervention levels, suggesting that long-term compliance may be better with a modified IMF protocol. Results suggested that a modified fast day produces a similar energy deficit as a zero-calorie fast day over a 3-day period because there is less compensatory increase in EI on the post-fast day with the modified fast [ 42 ].

As in the IMF group, weight maintenance energy requirements will be determined as measured REE × activity factor of 1. This target is consistent with current PA guidelines for weight management [ 34 , 43 ].

Participants will be instructed in how to use a relative intensity scale [ 34 ] to achieve the target of moderate intensity. To improve adherence to the interventions, both groups will receive a week group-based behavioral weight loss program with equivalent contact and support see Table 2 for a list of weekly behavioral support topics.

The programs will fulfill all recommendations for behavioral interventions for treatment of obesity outlined in current guidelines [ 17 ]. Randomized groups will meet separately. Curriculum for DCR will be based on the Colorado Weigh behavioral weight loss program which was developed at CU-AMC in and uses a skills-based approach and cognitive behavioral strategies for lifestyle modification with a dietary focus on DCR [ 44 , 45 ].

Curriculum for IMF will also be based on the Colorado Weigh behavioral weight loss program and features similar weekly curriculum themes as used in DCR but adapted by the study PI VC with input from a registered dietitian KB and a behavioral psychologist AC to focus on behavioral support specific to IMF.

Group meetings will be taught by a registered dietitian with experience in leading group-based behavioral weight loss interventions. Groups will meet weekly during weeks 0—13 and every 2 weeks during weeks 14— Weight will be obtained at each group meeting.

Group sessions will last ~60 min and the curriculum will be delivered using a mix of large group discussion, small breakout discussions, visual demonstrations, and written exercises. Participants in the DCR group will be instructed in specific strategies to support DCR with a focus on daily calorie counting and food logging.

Topics covered in both groups during the first 26 weeks include realistic weight loss goal setting, self-monitoring strategies, mindful eating, stress management, cognitive restructuring, improving personal food environments and social networks, and strategies to overcome barriers to healthy eating and increasing PA.

Later in the curriculum weeks 27—52 , topics will focus on strategies for weight loss maintenance and include impact of weight loss on EE and propensity for weight regain, relapse prevention, and identifying motivation for long-term dietary and PA changes.

Participants will also be provided two 10—15 min phone calls with their group leader during the initial 26 weeks of the intervention for individualized dietary goal setting using a standardized protocol. Participants will also be provided a 20—min in-person PA support session and a 10—min follow-up telephone call with an exercise specialist during the initial 26 weeks of the intervention for individualized PA goal setting using a standardized protocol.

IMF participants will be guided in strategies to adjust exercise duration on fast days if needed and still meet weekly PA targets. Participants will be provided access to the CU-AMC Anschutz Health and Wellness Center Fitness Center for the duration of the intervention.

Adherence to the prescribed dietary interventions for both randomized groups DCR, IMF will be monitored via 1 7-day diet diaries, 2 monthly dietary adherence surveys, and 3 the DLW intake-balance method.

Participants will not be withdrawn for non-adherence in this intent-to-treat study. Participants in both groups will be encouraged to adhere to the dietary prescriptions without modification for the initial 2 weeks as a prior study suggests individuals with obesity become habituated to IMF after ~2 weeks [ 38 ].

IMF participants will be allowed to reduce fasting to 2 days per week i. Participants will be allowed to continue these strategies for 2 weeks and will then be asked to re-try the original dietary prescription. If they are still unable to tolerate the original dietary prescription after a second attempt, they will be allowed to continue at the modified levels for the study duration.

Percentage of participants in each group requiring sustained intervention modification will be recorded. The allocated interventions will not be modified other than as described above. Participants will not be provided any compensation if they experience harm or injury from participating in the study.

Participants will continue to have access to the printed behavioral weight loss program materials that will be provided during the intervention after completion of study participation. Participants will be asked to complete assessment visits at baseline and weeks 13, 26, 39, and 52 during the intervention as well as a follow-up assessment 26 weeks after completion of the week study intervention i.

See Table 3 for assessments by study timepoint. Body weight, measured in the clinic, is the primary study outcome. Among participants allocated to IMF, outcomes will be measured after a fed day.

Body weight will be measured using a digital scale in the CU-AMC Anschutz Health and Wellness Center clinic accurate to ±0. Participants will also be given a smart scale ©BodyTrace smart scales Palo Alto, CA for daily home weighing use during the week study intervention.

These daily weights will be transmitted via wireless cellular network to a secure website. Height will be measured to the nearest 1 mm with a stadiometer at baseline. Blood pressure will be measured with a manual sphygmomanometer average of 2 seated values taken after 5 min rest at baseline and weeks 13, 26, 52, and Waist circumference cm will be measured at baseline and weeks 13, 26, 52, and 78 with a tape measure parallel to the floor, just superior to the iliac crest.

Fat mass and lean mass will be measured using dual-energy x-ray absorptiometry DXA at baseline and weeks 26, 52, and At baseline and weeks 26 and 52, REE will be measured using indirect calorimetry Parvo Medics TrueOne , Salt Lake City, UT in the AM in a thermoneutral 68—74 °F quiet room after a h overnight fast and h abstention from exercise.

For the duration of the test, the participant will be asked to remain motionless and awake. Prior to each measurement, the pneumotach flowmeter will be calibrated using a 3-L calibration syringe Hans Rudolph Inc. REE will be measured for 20 min and the average of the last 15 min of the measurement will be used to calculate REE using the Weir equation [ 46 ].

TDEE will be measured using the DLW method at baseline and at weeks 26 and Participants will arrive in the AM after a h fast. Participants will consume a dose based on body weight and an estimation of total body water.

Delivered doses will range from 0. The dosing cup will be rinsed twice with 30 mL of water and the rinsing dose consumed. The exact time of dosing will be recorded.

Urine will be collected after a 4-h and 5-h post-dose equilibrium period and then again on day 8 at the same time points. Frozen urine samples will be thawed and prepared by centrifugation and analyzed for 18 O and 2 H 2 enrichment by Off-Axis Integrated Cavity Output Spectroscopy OA-ICOS, Los Gatos Research Inc, Mountain View CA , as previously described [ 47 ].

TDEE will be determined using the two-point method according to Speakman et al. EI will be calculated using the intake-balance method. Change in body composition determined by DXA scan will be used to calculate change in energy stores ΔES using 9.

However, because DLW cannot quantify macronutrient intake or provide information on patterns of EI on fed and fast days, 7-day diet records will also be collected at baseline and weeks 13, 26, 52, and Diet records will be analyzed by Colorado Clinical and Translational Sciences Institute Nutrition Core personnel blinded to study group assignment using Nutrition Data System for Research software University of Minnesota.

The activPAL TM micro activPAL4, PALTechnologies, Glasgow, Scotland will be used to estimate time spent in moderate-to-vigorous PA MVPA , light activity, and sedentary behavior over a 7-day period at baseline and weeks 13, 26, 52, and The activPAL4 micro is a small The device is attached to the anterior thigh and is waterproofed by wrapping in a nitrile sleeve.

Thus, it can be worn during bathing and overnight, allowing for h measurement of wake and sleep behavior. Raw activPAL.

datx files will be processed using PALBatch software using the CREA — h wear protocol allows for 4 hours of non-wear per day and auto-correcting for inverted wear PAL Technologies Ltd. The algorithm will be used to determine time spent engaging in sedentary behavior, light activity, and MVPA.

Many studies have validated the activPAL for use in adults and report very high levels of accuracy Participants will also be asked to record all exercise and sleep times i. Self-reported dietary adherence and ratings of effort to adhere to the prescribed study diets will be obtained on a monthly basis during weeks 1—52 using methodology described by Dansinger et al.

Participants will be asked to rate on a 1—10 Likert scale: 1 how adherent they were to the prescribed study diet over the past week, 2 how hard was it to adhere to the prescribed study diet over the past week, and 3 how likely they feel they can adhere to the prescribed diet for the next month.

Participants in the IMF group will be asked to report the number of fast days over the past week. During weeks 53—78, monthly dietary follow-up questionnaires will be administered to evaluate participant efforts to continue weight loss or weight maintenance after the week intervention has ended.

A h fasting blood sample will be obtained for assessment of glucose, insulin, hemoglobin A1c, lipid panel, leptin, ghrelin, peptide YY, and highly sensitive C-reactive protein hs-CRP at baseline and weeks 26, 52, and Circulating nutrients and hormonal regulators of fuel metabolism glucose, insulin, triglycerides, free fatty acids, beta-hydroxybutyrate, and cortisol will be measured at baseline after both a fed i.

Labs will be analyzed by the UCHealth Clinical Laboratory beta-hydroxybutyrate or the Clinical Translational Research Institute CTRC, all other labs. Insulin sensitivity homeostasis model assessment of insulin resistance, HOMA-IR will be calculated as [insulin] × [fasting glucose × 0.

To measure psychosocial, behavioral, and environmental constructs which may predict weight loss response, several validated questionnaires and computer-based tasks will be administered to participants.

Selection of measures was informed by the recommendations of the NIH ADOPT Core Measures Project [ 24 , 27 , 28 ]. Questionnaires will be administered at baseline and at weeks 13, 26, 52, and 78 see Table 4. Each month, participants will also be asked to report any changes in their home or work address, to capture changes in their built, social, and community food environments.

Executive control will be assessed using computerized task-based measures of executive function i. The battery of computerized tasks to assess key domains of executive function will be deployed locally on a secure study computer and iPad coded by participant ID.

See Table 3 for the schedule of enrollment, randomization, interventions, and assessments for study participants. An a priori power calculation was performed for the primary outcome weight using nQuery 7. Standard deviation SD of weight loss used in this calculation was 5.

There are no previous data for us to estimate the effect size for any of the outcomes at 52 weeks. If superiority of IMF to DCR cannot be established, we will perform a non-inferiority test using 2.

Potential participants will be recruited from the Denver Metro area. We will recruit using CU-AMC campus wide e-mails, flyers, and research website which maintains an updated list of available studies performed on campus which is also accessible to the general population.

We will also provide flyers to the University of Colorado Primary Care practices as well as other local primary care practices including Denver Health Medical Center which serves low-income and minority populations.

The trial is registered at ClinicalTrials. We will also employ social media advertising strategies including the use of BUMP Digital Marketing. BUMP uses social media networks Facebook, Instagram, etc. to target a population of interest using an appealing advertisement for the study. The advertisement will include a link to a study landing page providing more information about the study, including a brief description of the study requirements and eligibility criteria.

Interested individuals will be provided a link to a screening questionnaire. The randomization assignment will be generated by the study biostatistician ZP using a computer-generated block randomization performed within strata defined by sex. Allocation of treatment will take place after all eligible participants for each cohort have completed baseline measures, based on the a priori randomization list.

The study biostatistician will generate the allocation sequence. After all participants have completed screening and baseline assessments, participants will be notified of the randomization assignment on the first day of group class for the intervention.

This process will take place separately within each cohort. Due to the nature of the intervention, it is not plausible to blind participants. However, participants will be blinded to the study hypothesis.

Due to the nature of the group-based behavioral intervention, it is also not plausible to blind study staff who enroll participants and deliver or monitor intervention delivery. However, the following personnel will be blinded to study group assignment: 1 staff performing laboratory analyses, 2 DLW assessment core staff performing analysis of the DLW samples, and 3 Colorado Clinical and Translational Sciences Institute Nutrition Core personnel who will be using Nutrition Data System for Research software to analyze the 7-day diet diary data.

Lastly, all data analyses and reporting will be completed by study investigators who are blinded to study arm assignments. Study personnel who are responsible for analyzing data and reporting results will remain blinded throughout the study period.

Outcome measures will be assessed during in-person clinic visits with trained, research staff. We will use detailed data collection forms to promote data quality and reduce assessor error. Weight, blood pressure, and waist circumference will be measured twice and the average of the two measures will be used in analyses.

Questionnaires will be administered online using REDCap survey or Qualtrics. Scores from questionnaire responses will be calculated directly within REDCap using hidden, calculated fields. See Table 4 for a list of each study questionnaire and the questionnaire references.

The study coordinators will be responsible for establishing and maintaining contact with participants throughout the study. If study appointments are missed, the study coordinator will follow-up with a telephone call to reschedule.

If participants miss two group-based support classes in a row without prior communication, study coordinators will contact participants to discuss attendance. In our experience, the most important characteristics of high retention is frequent and high-quality interaction with key study staff.

We will ensure continuity of key staff during the entire study so that participants build a relationship with study personnel, to provide inspiration and increase accountability.

Participants will also be compensated for completing study outcome measures. Field and range checks will be programmed to minimize data entry errors. Data distribution will be checked periodically, and outliers verified; missing data will be tracked and checked.

All data will be entered into the REDCap database and will be sight verified by a second study staff member. The key linking participant name and participant identifier code is kept in a secured location, with only key personnel having direct access to the list.

Participant identifier codes will be used for all data entry and data analyses. The investigative team will be trained in accordance to both the Colorado Multiple Institutional Review Board COMIRB and the Health Insurance Portability and Accountability Act HIPAA compliance issues and will act to maintain confidentiality and protect health information.

Electronic data will be stored on secure servers with a high level of security, controlled access, daily back-up, and long-term retention of back-up files.

Access to all study data will be restricted to the principal investigator and research personnel. Stool samples will be self-collected by study participants at baseline and weeks 13, 26, 52, and 78 using the Alpco EasySampler Stool Collection Kit.

Baseline characteristics will be summarized by treatment groups using descriptive statistics. Normality assumptions will be evaluated, and transformations used e. Body weight is the primary outcome variable and others are secondary or exploratory outcomes. Consequently, no adjustment for multiple outcomes will be applied.

Any imbalance in baseline characteristics between groups that could potentially be a confounding factor for the outcome will be adjusted for in the statistical model.

Each continuous outcome will be analyzed using a linear mixed effects model. The fixed effects of the linear mixed effects model will consist of treatment group IMF or DCR and time of measurement i.

Time of measurement will be treated as a continuous or categorical variable, as appropriate. Test of the interaction assesses the difference in post-intervention change from baseline between two groups and is used to quantify the effectiveness of the intervention. Among factors with a significant three-level interaction, we will further use post-intervention weight loss as the outcome and multiple linear regression to examine their association with the outcome and its interaction with intervention.

Similar multiple logistic regression analysis will also be conducted with the outcome dichotomized as responder and non-responder using clinical criteria. Although not formally powered to examine sex differences, results will be reported separately for men and women to enhance transparency and inform data interpretation.

All randomized participants will be analyzed. We expect that missingness condition is either missing completely at random MCAR or missing at random MAR. A linear mixed effects model will serve as the primary method to handle missing values.

The primary and secondary outcomes will be further examined using various sensitivity analyses including analysis of completers using the above statistical models; imputing missing values using baseline-observation-carried-forward, and then assessing efficacy by analyzing the change score from baseline using two sample t -tests or linear regression model while adjusting for other covariates; and finally imputing missing values using Markov chain Monte Carlo multiple imputation to create 20 imputed data sets and then analyzing the data using the linear mixed effects model.

This paper provides the full protocol. Interested individuals should contact the study principal investigator VC if interested in other data or documentation of the study.

This single-site randomized trial does not have a coordinating center or trial steering committee. The trial will be supervised by the PI VC with input from study co-investigators co-authors EM, DB, PM, and ZP. Additional oversight will be provided by an independent Safety Officer who will review study conduct and progress on an annual basis as outlined in our NIH-approved Data and Safety Monitoring Plan DSMP.

The screening medical history and physical exams will be performed by the PI VC , co-investigator DB , and co-author AZ , all of whom are MDs with current board certification.

The PI and the study PRAs will meet weekly to discuss trial conduct and progress including recruitment and retention. Co-investigator meetings will be held monthly during the study startup phase and then as needed to discuss any issues that arise with trial conduct.

The intervention and measurement protocols pose minimal risk to participants. Because of this low-risk status, the data safety monitoring plan for this trial focuses on close monitoring by the principal investigator an MD with current board certification in Endocrinology in conjunction with an independent Safety Officer, along with prompt reporting of excessive adverse events and any serious adverse events to the NIH and to COMIRB.

The Safety Officer will review the reports prepared by the study coordinator at the annual Safety Officer meeting and will determine whether there is any corrective action, trigger of an ad hoc review, or stopping rule violation that should be communicated to the study investigator, COMIRB and the study sponsor.

We plan to collect adverse event data on a case-by-case basis. Adverse events will be reviewed, collated, and evaluated by the PI within 72 h. All serious adverse events will be evaluated by the Safety Officer and the PI within 24 h. A summary table of adverse events Safety Report will be compiled on an ongoing basis and will be provided to the independent safety officer at the annual meeting.

The summary table will include a description of the adverse event, the date of onset, severity, action taken, outcome, whether the adverse event was expected or unanticipated, and a determination of the relationship of the adverse event to study procedures.

Adverse event reports and annual summaries will not include identifiable material and participants will be identified only by study ID number. To review study conduct throughout the trial period, study team meetings, led by the PI VC , will occur on a weekly basis.

The independent Safety Officer will review trial conduct and progress annually, as outlined in our NIH-approved DSMP. An annual report will be submitted for continuing review per COMIRB requirements. Lastly, an annual progress report will be submitted to the study sponsor NIH. Any protocol changes that impact study procedures or risk to human subjects will be approved by COMIRB and reflected in a revised consent form that will be reviewed and signed by all active participants.

Protocol changes will also be reported to NIH at the annual progress reports. Findings from this study will be shared publicly and disseminated mainly by publication in peer-reviewed journals and conference presentations.

Journal articles will be submitted to PubMed Central in compliance with NIH access guidelines. Main outcomes are planned to be submitted for publication during — Peer-reviewed findings will also be disseminated through CU-AMC social media outlets. Research data, which documents, supports, and validates research findings, will be made available after the main findings from the final research data set have been accepted for publication.

No research data with personal identifiers will be published under this project. Although weight loss interventions based on DCR lead to modest weight loss success in the short-term, there is wide inter-individual variability in weight loss and poor long-term weight loss maintenance.

IMF may represent a promising dietary strategy to help more people achieve weight loss and improve their metabolic health. However, the current evidence base has significant limitations including lack of a standard-of-care DCR control, failure to provide guideline-based behavioral support, and failure to rigorously evaluate dietary and PA adherence using objective measures.

To date, only three longer-term week trials have evaluated IMF as a weight loss strategy [ 19 , 20 , 21 ]. Thus, greater scientific rigor is required from interventional trials than found in the current literature and well-designed trials are needed to demonstrate long-term effectiveness and to understand the impact of IMF on energy balance.

DRIFT will fill this gap in the literature by examining the effectiveness of IMF as a dietary strategy to achieve weight loss compared to DCR, the current standard-of-care, within the context of a week, guideline-based behavioral support program for obesity treatment.

We will use objective methods to measure EI DLW intake-balance method and PA activPAL device to allow for an accurate comparison of adherence to the dietary and PA prescriptions between the IMF and DCR groups. This trial is also unique in that it will be one of the first obesity treatment trials to implement the recommendations from the NIH ADOPT framework to evaluate selected biologic, behavioral, environmental, and psychosocial predictors of weight loss response [ 24 , 25 , 26 , 27 , 28 ].

Our findings may have significant public health implications as this study will generate robust data regarding long-term weight loss effectiveness of IMF as compared to DCR. We anticipate that results will further our understanding of the impact of IMF on energy balance and will provide preliminary insight into predictors of weight loss response within IMF and DCR.

This study protocol was based on version date February 18, We were unable to submit our protocol manuscript prior to completing participant recruitment due to the substantially increased investigator and research staff burden necessitated by COVIDrelated clinical research shutdown activities, followed by COVIDrelated clinical research reactivation activities including developing, obtaining approval for, and implementation of protocols to safeguard clinical research staff and participants as required by CU-AMC.

The additional research burden related to COVID protocols was compounded by frequent staff quarantines and limited access to research offices which required us to focus all investigator and research staff effort on study conduct.

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J Acad Nutr Diet. Horne BD, Muhlestein JB, Anderson JL. Health effects of intermittent fasting: hormesis or harm? A systematic review. Mattson MP, Allison DB, Fontana L, Harvie M, Longo VD, Malaisse WJ, et al. Meal frequency and timing in health and disease.

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Intermittent fasting and weight loss: systematic review. Can Fam Physician. PubMed PubMed Central Google Scholar. Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, et al. PubMed Google Scholar. Catenacci VA, Wyatt HR. The role of physical activity in producing and maintaining weight loss.

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JAMA Intern Med. Headland ML, Clifton PM, Keogh JB. Effect of intermittent compared to continuous energy restriction on weight loss and weight maintenance after 12 months in healthy overweight or obese adults.

Carter S, Clifton PM, Keogh JB. Effect of intermittent compared with continuous energy restricted diet on glycemic control in patients with type 2 diabetes: a randomized noninferiority trial.

JAMA Netw Open. The effect of intermittent compared with continuous energy restriction on glycaemic control in patients with type 2 diabetes: month follow-up of a randomised noninferiority trial.

Diabetes Res Clin Pract. Franz MJ, Boucher JL, Rutten-Ramos S, VanWormer JJ. Lifestyle weight-loss intervention outcomes in overweight and obese adults with type 2 diabetes: a systematic review and meta-analysis of randomized clinical trials.

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news Alerts Competing interests {28} The authors declare no competing interests. Rynders CA, Thomas EA, Zaman A, Pan Z, Catenacci VA, Melanson EL. Should You Try Calorie Restriction or a Fasting Diet? Article PubMed Google Scholar Mukherji A, Kobiita A, Damara M, Misra N, Meziane H, Champy MF, et al. Dietary and physical activity adaptations to alternate day modified fasting: implications for optimal weight loss.
Jillian Michaels: 3 Popular Weight Loss Myths Busted People in the experimental group can eat at will for 5 days, and then for 2 consecutive days are restricted to to calories per day. So researchers thought burning or cutting calories a day led to losing 1 pound a week. Adherence to the prescribed diets over 12 weeks. There are no previous data for us to estimate the effect size for any of the outcomes at 52 weeks. Journal articles will be submitted to PubMed Central in compliance with NIH access guidelines. Protocol changes will also be reported to NIH at the annual progress reports.
Restiction Clinic offers appointments caloric restriction weight loss Arizona, Florida and Minnesota and Hair and skin health supplements Mayo Clinic Health System locations. Destriction control really cwloric down rfstriction caloric restriction weight loss thing — calories. See Hypoglycemia symptoms steps you can take to win the calorie battle. Even with all the diet plans out there, weight management still comes down to the calories you take in versus those you burn off during activity. Popular fad diets may promise you that not eating carbohydrates carbs or eating a pile of grapefruit is the secret to weight loss.

Caloric restriction weight loss -

Regularly eating fewer calories than your body needs can cause your metabolism to slow down. One of the ways that calorie-restricted diets slow your metabolism is by causing muscle loss 11 , 12 , This loss of muscle mass is especially likely to occur if the calorie-restricted diet is low in protein and not combined with exercise 14 , To prevent your weight loss diet from affecting your metabolism, make sure that you never eat fewer calories than are required to sustain your BMR.

Slightly increasing your protein intake and adding resistance exercises to your workout routine may also help 14 , Severely restricting your calories can decrease your metabolism and cause you to lose muscle mass.

This makes it more difficult to maintain your weight loss in the long term. Regularly eating fewer calories than your body requires can cause fatigue and make it more challenging for you to meet your daily nutrient needs.

For instance, calorie-restricted diets may not provide sufficient amounts of iron, folate or vitamin B This can lead to anemia and extreme fatigue 16 , 17 , In addition, the number of carbs you eat may play a role in fatigue.

Some studies suggest that calorie-restricted diets with low amounts of carbs may cause feelings of fatigue in some individuals 19 , 20 , 21 , However, other studies find that low-carb diets reduce fatigue.

Therefore, this effect may depend on the individual 23 , To prevent fatigue and nutrient deficiencies, avoid overly restricting your calories and ensure you eat a variety of whole, minimally processed foods.

Restricting calories too severely can lead to fatigue. Maintaining this calorie restriction for too long can also lead to nutrient deficiencies.

Restricting calories too dramatically can negatively affect fertility. This is especially true for women, as the ability to ovulate depends on hormone levels.

More specifically, an increase in estrogen and luteinizing hormone LH levels is needed in order for ovulation to occur 31 , An insufficient calorie intake may also reduce estrogen levels, which is thought to have lasting negative effects on bone and heart health 34 , 35 , Signs of reduced fertility may include irregular menstrual cycles or a lack of them.

However, subtle menstrual disturbances may not have any symptoms, so they may require a more thorough medical examination to be diagnosed 37 , Overly restricting calories may potentially reduce fertility, especially in women.

More studies are needed to determine the effects of calorie restriction in men. Consuming too few calories can weaken your bones. Low levels of these two reproductive hormones are thought to reduce bone formation and increase bone breakdown, resulting in weaker bones 40 , 41 , 42 , In addition, calorie restriction — especially when combined with physical exercise — can increase stress hormone levels.

This may also lead to bone loss Bone loss is especially troublesome because it is often irreversible and increases the risk of fractures 45 , Restricting calories may disturb hormone levels, which may result in weaker bones and an increased risk of fractures.

For instance, one study compared athletes in disciplines that put a strong emphasis on body leanness, such as boxing, gymnastics or diving, to those in disciplines less focused on body weight.

The researchers reported that athletes in disciplines that required leanness made more frequent attempts to lose weight and were almost twice as likely to have been sick in the previous three months In another study, taekwondo athletes who were dieting to reduce their body weight in the week before a competition experienced reduced immunity and an increased risk of infection The effects of calorie restriction in non-exercising individuals are less clear, and more research is needed before strong conclusions can be made Calorie restriction, especially when combined with strenuous physical activity, may lower your immune defenses.

Calorie needs vary from person to person because they depend on factors such as age, sex, height, current weight and physical activity level. Although the combination of TRE and CR can effectively decrease body weight, fat mass, and waist circumference, the long-term effects, particularly those on cardiometabolic risk in participants with chronic cardiovascular disease and diabetes, remain to be explored.

Obesity prevalence has climbed over the past few decades in most nations and has doubled in 73 countries [ 1 ]. As a result, obesity is currently regarded as a pandemic, given its gradually rising prevalence and status as an emerging major global public health concern [ 2 ].

Growing pieces of evidence reveal that approximately million adults are considered clinically obese, and by , over one billion individuals are expected to suffer from obesity [ 3 ].

Effective weight management measures are urgently needed in light of the evidence from epidemiologic studies that obesity is directly linked to an increased risk of chronic diseases, including cardiovascular, neurodegenerative, different types of cancer, and metabolic disorders [ 4 ]. Weight loss by lifestyle intervention has been established as fundamental to weight management [ 5 ].

Notably, intermittent fasting IF has progressively gained popularity as a modified fasting method owing to its clinically significant weight loss effect and ease of application in comparison with daily calorie restriction CR [ 6 ].

IF became a popular option for numerous populations with excess weight as it neither requires daily calorie tracking nor a limit in the consumption of specific food groups. In contrast, it allows flexible eating patterns at particular times of the day [ 7 ].

Furthermore, several clinical studies have proven that IF is superior to continuous dietary restriction in terms of short-term weight loss and body fat improvement [ 8 , 9 , 10 , 11 ].

Time-restricted eating TRE , a subtype of IF regimen that calls for a set window of time for eating and fasting within each hour period, has grown in prominence as a creative and workable method of treatment for obesity and metabolic diseases [ 12 ].

TRE eliminates the necessity for tracking the caloric intake or count during the eating window, promoting it to be simpler and more convenient [ 7 ]. In addition, the circadian rhythm hypothesis progressively enjoys widespread support. The idea highlights that synchronization of feeding and fasting cycles with light and dark circadian rhythms can adjust the efficiency of metabolism and weight reduction [ 13 ] as energy homeostasis is controlled by the interaction of peripheral signals with the central nervous system, and any disruption of the circadian rhythms affects weight management and other metabolic processes [ 14 ].

Traditionally, TRE was commonly used for dietary intervention in mice laboratory experiments, and earlier animal studies have repeatedly identified that diet plays a vital role in weight loss and improving metabolic parameters [ 15 ]. For instance, TRE lowers body weight, improves insulin sensitivity and lipid profile in mice, and alleviates diabetes-induced cognitive impairment by gut microbiota [ 16 ].

Massive clinical studies concerning TRE also displayed improvements in body weight, blood pressure, lipid profiles, and insulin resistance in participants [ 17 , 18 , 19 , 20 ]. Thus, TRE is a practical and well-tolerated dietary strategy over the long term.

Previous meta-analysis publications have investigated the advantages of TRE in various contexts using healthy individuals or participants who are overweight or obese [ 21 , 22 , 23 , 24 ]. TRE is a potential approach for individuals with excess weight because it considerably decreases body weight and enhances the metabolic parameters related to cardiometabolic health [ 24 ].

An updated meta-analysis ascertained that TRE can improve metabolic states in overweight individuals, and a consistent result was found in the metabolic states of normal-weight individuals with a scheduled TRE [ 23 ]. Allaf et al. illustrated the effect of TRE on weight loss through a detailed systematic review, but the impact of fast diets on clinical outcomes, such as death, myocardial infarction, and heart failure, remains to be elucidated in more detail [ 21 ].

Over the past few years, many randomized controlled trials RCTs have focused on the benefits of TRE in conjunction with CR. However, lacking meta-analysis pooling particular trials to determine the combined benefits of TRE and CR on body composition and cardiometabolic risk factors.

The current systematic review and meta-analysis aimed to further clarify the effects of TRE plus CR on weight loss and cardiometabolic risk. The meta-analysis was performed in accordance with the outlines of the Preferred Reporting Items for Systematic Reviews and Meta-analysis Statement Supplementary Material [ 25 ].

PubMed, Embase and Cochrane Library were searched from inception to October 18, , for potentially relevant studies without restriction applied to language, publication year, or region using the following search terms: intervention time-restricted eating, feeding, fasting, or diet and outcome blood pressure or diastolic pressure or systolic pressure or diastolic blood pressure or systolic blood pressure or glucose or insulin or homeostatic model assessment for insulin resistance or glucose or insulin or HOMA-IR or HOMA-β or cholesterol or triglyceride or triglycerides or Triacylglycerol or Triacylglycerols or plasma lipid or weight loss or weight losses or weight reduction or weight reductions.

The search was updated on January 13, The complete search terms are described in detail in Supplementary Material. We manually scanned the reference lists of included papers to find gray literature.

Furthermore, ClinicalTrials. gov and two gray literature databases were searched for relevant research OpenGrey. eu and Greylit. Moreover, studies that did not specifically mention TRE and CR but described treatments containing TRE and CR components were considered.

Studies enrolled participants taking part in additional weight loss therapies were excluded. This meta-analysis excluded studies without sufficient data and individuals with acute or chronic illnesses that would affect the TRE treatment.

If studies comprised the same trials, we analyzed the study with the most extended duration or comprehensive information. Study selection was performed in two phases: an initial title and abstract screening followed by a complete text examination of papers for suitability in this research.

Two review authors JCS and ZTT independently assessed the eligibility of the papers, and any discrepancies were settled by a third investigator GQ.

The full texts of potentially eligible articles were obtained for further evaluation. Data extraction was performed systematically by two authors CJH and CLZ using data extraction sheets, and discrepancies were addressed by consensus. The extracted data included the first author, publication year, country, duration of follow-up, study design, sample size, demographic characteristics of the participants, mean weight, mean body mass index BMI , body composition, fasting glucose, insulin, blood pressure, HOMA-IR, HOMA-β, and lipid profile.

We reached out to the authors of articles that lacked relevant data. All outcomes were continuous variables, and thus, the mean changes and corresponding standard deviation SD values were extracted in both intervention and control groups. The changes in mean and SD were calculated using the correlation coefficient approach suggested in the Cochrane Handbook [ 26 ] if studies supplied the mean and SD values at baseline and post-intervention.

Studies without SD were converted using documented methods employing standard error of measurement or, if available, confidence interval CI.

WebPlotDigitizer version 4. Two reviewers JCS and ZTT independently evaluated the risk of bias in selected studies using the revised Cochrane risk of bias tool for randomized trials ROB2 [ 28 ].

The biases of the included studies constituted six domains, such as selection, performance, detection, attrition, reporting, and overall biases. For these domains, we assessed the risk of bias in randomized, parallel-group trials by examining the randomization process, deviations from intended interventions, mising outcome data, measurement of the outcome, and selection of the reported result.

When evaluating the risk of bias for crossover trials, we introduced an additional aspect—bias arising from period and carryover effects. The risk associated with each domain was classified as low, some concerns, or high. Discrepancies were resolved by a senior investigator GQ.

The Grading of Recommendations Assessment, Development, and Evaluation GRADE framework [ 29 ] was used to categorize the evidence quality of each outcome into very low, low, moderate, and high levels by two writers CLZ and CJH independently.

Disagreements were settled by a third reviewer HLH. The RCT studies were initially rated as high quality and then downgraded or upgraded depending on predetermined criteria, including the risk of bias, consistency of results across studies, directness, the precision of results, likelihood of publication bias, large effect, dose-response gradient, or all other plausible confounders that attenuate the pooled risk estimates.

Stata Statistical Software version Two-sided P values were evaluated for significance at an alpha level of 0. Differences between the final and baseline mean values of each outcome were reported as change values and analyzed.

The effect size was determined by the weighted mean difference WMD between these differences. Sensitivity analyses by sequential deletion of trials were used to investigate results with moderate or high levels of heterogeneity to determine the heterogeneity source.

Considering the different subtypes of TRE, subgroup analyses were performed based on broader TRE unclear due to self-selective eating windows for ad libitum with CR, early TRE eTRE with CR, and delayed TRE dTRE with CR.

Subgroup analyses were also conducted to determine the subgroup difference after stratifying for daily fasting to eating ratios vs. obesity , duration short-term vs.

long-term , and study location Europe vs. South America vs. North America vs. Short-term study duration was defined as less than 12 weeks, whereas a period of 12 weeks or longer was deemed a long-term study duration.

To evaluate potential publication bias, we assessed funnel plot asymmetry by visualization and performed a trim-and-fill analysis if publication bias was detected.

After removing duplicates, records were retrieved during the initial and updated search. The full texts of papers were obtained for further assessment based on titles and abstract screening.

Eight publications covered participants and were qualified for data extraction and quantitative analysis [ 27 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ]. A study by Amodi et al.

Two publications from the same study were acquired, and we analyzed articles with a long follow-up period to determine the long-term effects of TRE with CR [ 30 , 38 ]. Figure 1 depicts the flow of studies through the review. All eight articles included individuals who were overweight or obese, of whom were male.

Only one study focused on participants with diabetes [ 30 ]. Studies from China [ 33 , 35 ], Brazil [ 31 , 36 ], and the United States [ 27 , 32 , 34 ], in addition to one study from the Czech Republic [ 30 ], were considered.

Except for one paper that employed a randomized crossover design [ 30 ], all the trials considered were RCTs. Queiroz et al. Two trials [ 31 , 33 ] restricted participants to women, four studies [ 27 , 32 , 34 , 36 ] virtually exclusively recruited women, and two others [ 30 , 35 ] recruited a gender-balanced group.

Table 1 summarizes the detailed participant and study characteristics. A version of ROB2 for individually randomized, parallel-group trials was applied to evaluate seven parallel-arm designed studies, and the results are displayed in Fig. Only one study [ 34 ] had a low risk of bias, and the other seven [ 27 , 31 , 32 , 33 , 35 , 36 ] had some concerns.

The risk of bias was some concerns in two articles [ 32 , 33 ] for lack of information about the randomization process, in five studies [ 27 , 31 , 33 , 35 , 36 ] for deviations from intended interventions, and in one publication [ 36 ] for missing outcome data.

One crossover design research [ 30 ] was assessed by a version of ROB2 for crossover trials. The trial had some concerns about bias, given the absence of a randomization process, deviations from intended interventions and selection of the reported result Fig.

Eight studies [ 27 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ] with participants reported weight loss as an outcome. Despite the removal of a study [ 30 ] with the highest weight Although the asymmetric funnel plot Fig.

The changes in fat mass were recorded in five studies individuals [ 27 , 33 , 34 , 35 , 36 ]. Six studies [ 30 , 31 , 33 , 34 , 35 , 36 ] involving participants showed changes in WC from baseline to endpoint. The heterogeneity decreased when the study by Kahleova et al.

Four studies [ 31 , 33 , 34 , 35 , 36 ] with individuals focused on the effect on blood pressure. Sensitivity analysis unveiled a degraded heterogeneity without changes in statistical significance after the removal of the study by Lin et al.

Six studies [ 30 , 32 , 33 , 34 , 35 , 36 ] with participants recorded changes in fasting glucose concentration with TRE plus CR. For insulin, the pooled analysis of four studies [ 30 , 33 , 34 , 36 ] with individuals suggested no differences between the intervention and control groups WMD: 0.

Moreover, HOMA-IR and HOMA-β were investigated in four studies [ 33 , 34 , 35 , 36 ] participants and two articles [ 34 , 36 ] participants respectively, but no statistically significant differences were found in either of the two outcomes WMD: 0.

A nonsignificant difference was observed in the HOMA-IR after the sequential deletion of trials without a marked change in heterogeneity. Changes in lipid profiles were reported by six studies [ 27 , 30 , 33 , 34 , 35 , 36 ], with participants reported. The results showed that TRE plus CR had no beneficial effects of TRE plus CR on TC WMD: 1.

However, no significant effects were found on weight loss and fat mass loss in the broader TRE with CR and dTRE with CR groups. Moreover, WC reduced nonsignificantly in all three groups. Otherwise, no significant difference was found in terms of fat mass.

The study by Kahleova et al. Subgroup analysis was conducted based on different durations to investigate the long-term effects of combined TRE and CR.

Consistent fat mass and WC outcomes were observed with the body weight Table 2. Table S 1 presents the GRADE assessment results. Among the 12 outcomes analyzed, weight loss, SBP, glucose, TC, TG, and LDL were classified as low quality, and the other six outcomes fat mass, WC, DBP, insulin, HOMA-IR, HOMA-β were graded as very low.

This systematic review and meta-analysis of 8 trials involving participants revealed that participants who follow a combined TRE and CR regimen efficiently lose body weight and substantially reduce their WC and fat mass.

However, no changes were observed in the other outcomes, such as SBP, DBP, fasting glucose, insulin, HOMA-IR, HOMA-β, and lipid profile values TC, TG, and LDL. One study presented a low risk of bias, whereas seven studies raised some concerns.

The GRADE evaluation rated six of the twelve outcomes from the current study as low quality, and the remaining six were classified as very low quality.

Several lines of evidence consider the potential role of rhythmic creatine-mediated thermogenesis in the metabolic advantages of time-restricted meals [ 40 ].

Furthermore, mounting proof validates that TRE promotes a fuel switch from glucose to fatty acids [ 41 ], which is associated with enhanced expression of oxidative metabolic genes in adipose tissue, improved energy consumption, and prevention of metabolic diseases without modification of food intake.

These mechanisms can be responsible for the findings observed in the present study; that is, participants who experienced TRE with CR exhibited excellent body composition improvement benefits compared with individuals who underwent CR alone.

Notably, in the present meta-analysis, the heterogeneity of WC disappeared when the study by Kahleova et al. Subgroup analysis revealed increased body weight loss and fat mass reduction tendencies in participants with eTRE plus CR intervention compared with CR alone, but no body weight or fat mass benefits was found in the subgroups of dTRE plus CR, broader TRE plus CR.

The analysis results should be interpreted cautiously because dTRE was only exploited in one study [ 36 ]. The subgroup analysis results for WC based on intervention measures revealed no significant difference between groups, indicating that body weight but not WC is the most sensitive parameter.

Contrary to previous meta-analyses [ 23 ], participants with obesity in the present study benefited from the combination of TRE and CR, and they showed significant body weight reduction and body composition improvement. Such a discrepancy may be explained in part by the scarce studies in the meta-analysis by Liu et al.

Subgroup analysis of duration showed that long-term intervention by TRE plus CR is more effective in weight loss and body composition improvement than its short-term counterpart. Although the long-term group showed a significant effect, two of the four included studies [ 31 , 35 ] with a month follow-up period exhibited no changes in body weight, fat mass, or WC.

Future long-term trials with large subject populations will be necessary to further determine the long-term benefits of TRE plus CR on body composition [ 44 ]. However, the WC outcome of the group may need to be more reliable, given the small number of included studies.

Moreover, the analysis results of studies supported that TRE combined with CR is more effective in reducing body weight when conducted in developed countries Europe and North America as opposed to developing countries Asia or North America , consistent with the epidemiologic research of obesity prevalence in developed countries [ 45 ].

This phenomenon may be associated with the high popularity of health education about obesity and its complications in these areas. The subgroup analysis results based on regions showed no changes in WC and fat mass, except for the Europe subgroup of one study [ 30 ], where a significant decrease in WC was observed.

The TRE regimen did not significantly benefit blood pressure compared with the CR regimens. The sensitivity analysis of DBP detected a moderate heterogeneity when the study by Lin et al.

Nevertheless, a 5-week randomized crossover trial with positive results proposed that in comparison with the controlled schedule, eTRE considerably reduced the morning levels of SBP and DBP [ 47 ]. The controversy is possibly attributed to the difference in insulin and a statement that the reduction in insulin levels can improve blood pressure [ 48 ], as well as the fact that we noticed no differences in insulin levels in the study by Lowe et al.

Furthermore, although the analysis revealed a significantly reduced weight, according to the guide, the change in body weight was relatively mild to induce a significant difference in blood pressure [ 49 ]. The current meta-analysis showed that TRE did not provide extra benefits on glycemic and lipid profiles compared with daily CR.

Sensitivity analysis showed a similar result in glucose levels between groups when the study causing heterogeneity was excluded.

As mentioned in the current review, isocaloric TRE, particularly in individuals with prediabetes, improves fasting insulin and insulin resistance independent of weight loss [ 50 ], but with a controversy on the glucose profile in participants scheduled for ad libitum TRE who do not have diabetes [ 51 , 52 , 53 , 54 ].

The result provides evidence against the positive conclusion of a previous meta-analysis involving 19 studies, which showed that TRE could lower fasting blood glucose, HOMA-IR, and lipid spectrum of TG, TC, and LDL-C in overweight individuals [ 24 ]. Diverse population characteristics in the included studies may explain the conflicting conclusion in the present research and that of Moon et al.

But it is noteworthy that among the latter, neither significant lipid nor glucose profile changes were observed in the subgroup analysis based on healthy subjects, and the sensitivity analysis did not turn up any outline studies, indicating some skepticism about the robustness of the findings.

The blood lipid outcomes in the present meta-analysis contradict the hypothesis put forward in a review that TRE may contribute to favorable changes in some aspects of the lipid profile concurrent with a simultaneous reduction in body weight, despite insufficient evidence [ 55 ].

A possible explanation for this may be that the studies included were intended to concentrate on the reduction effect of TRE combined with CR on body weight rather than improving blood lipids.

Consequently, the slightly different inclusion criteria resulted in an imbalanced baseline serum lipid level of participants in several studies that excluded participants with a history of cardiovascular disease or diabetes [ 27 , 36 ]. Two trials did not recruit individuals taking medications for blood sugar or blood lipids [ 30 , 33 ].

More well-designed large sample studies are desiderated to ensure the scientific, objective, and reliable conclusions of the trials in future clinical research to identify the effectiveness of TRE plus CR on glucose and lipid profiles.

We acknowledge that the present study has some limitations. The main limitation of the present meta-analysis was the low or very low quality evidence of study outcomes classified by the GRADE tool, which was primarily attributed to the risk of bias that the nature of behavioral intervention by a fixed ratio of fasting and eating periods, preventing it from blinding the participants.

Nevertheless, the study results were all objective measures that were slightly affected by subjective dimension and influenced the outcomes mildly regardless of whether the participants were informed of allocation results.

By Mayo Clinic Staff. Thank you for subscribing! Sorry something went wrong with your subscription Please, try again in a couple of minutes Retry. Show references Eat more weigh less?

Centers for Disease Control and Prevention. Accessed July 19, Healthy eating for adults. Department of Agriculture. Accessed July 18, Colditz GA. Healthy diet in adults. Hensrud DD, et al.

Set your targets. In: The Mayo Clinic Diet. Rochester, Minn. Kim JY. Optimal diet strategies for weight loss and weight loss maintenance. Chau AM, et al. Dietary interventions for obesity: Clinical and mechanistic findings. The Journal of Clinical Investigation. Greger M. A whole food plant-based diet is effective for weight loss: The evidence.

American Journal of Lifestyle Medicine. FoodData Central. Department of Agriculture, Agricultural Research Service. Raymond JL, et al. Kindle edition. Elsevier; Learn how the nutrition facts label can help improve your health. Finding a balance of food and activity. Zeratsky KA expert opinion. Mayo Clinic.

July 25, Thomas DM, et al. Time to correctly predict the amount of weight loss with dieting. Academy of Nutrition and Dietetics. Products and Services A Book: Mayo Clinic Family Health Book, 5th Edition The Mayo Clinic Diet Online A Book: Live Younger Longer A Book: The Mayo Clinic Diet Bundle Newsletter: Mayo Clinic Health Letter — Digital Edition.

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