Dietary and physical activity adaptations to alternate day modified fasting: implications for optimal weight loss
© Klempel et al; licensee BioMed Central Ltd. 2010
Received: 29 April 2010
Accepted: 3 September 2010
Published: 3 September 2010
Alternate day modified fasting (ADMF) is an effective strategy for weight loss in obese adults.
The objective of this study was to examine the dietary and physical activity adaptations that occur during short-term ADMF, and to determine how these modulations affect rate of weight loss.
Sixteen obese subjects (12 women/4 men) completed a 10-week trial consisting of 3 phases: 1) 2-week control phase, 2) 4-week ADMF controlled feeding phase, and 3) 4-week ADMF self-selected feeding phase.
Body weight decreased (P < 0.001) by 5.6 ± 1.0 kg post-treatment. Energy intake on the fast day was 26 ± 3% of baseline needs (501 ± 28 kcal/d). No hyperphagic response occurred on the feed day (95 ± 6% of baseline needs consumed, 1801 ± 226 kcal/d). Daily energy restriction (37 ± 7%) was correlated to rate of weight loss (r = 0.42, P = 0.01). Dietary fat intake decreased (36% to 33% of kcal, P < 0.05) with dietary counseling, and was related to rate of weight loss (r = 0.38, P = 0.03). Hunger on the fast day decreased (P < 0.05) by week 2, and remained low. Habitual physical activity was maintained throughout the study (fast day: 6416 ± 851 steps/d; feed day: 6569 ± 910 steps/d).
These findings indicate that obese subjects quickly adapt to ADMF, and that changes in energy/macronutrient intake, hunger, and maintenance of physical activity play a role in influencing rate of weight loss by ADMF.
Rates of obesity have dramatically increased over the past three decades. At present, 34% of adults in the United States are obese (body mass index (BMI) > 30 kg/m2) . According to the National Heart Blood and Lung Institute (NHLBI) Obesity Guidelines , dietary interventions should be implemented as the first line of treatment to help obese individuals lose weight. The most common diet therapy prescribed by practitioners is daily calorie restriction (CR). CR involves decreasing energy intake by 15 to 40% of baseline needs everyday. Evidence from short-term CR trials (8 to 24 weeks) demonstrate that CR is an effective means of decreasing body weight by 5 to 10% from baseline in obese patients [3–6].
Although CR is the most frequent diet strategy implemented to facilitate weight loss , many obese patients find it difficult to adhere to CR since food intake must be limited every day[8–10]. Alternate day modified fasting (ADMF) was created as an alternative to CR to improve compliance with dietary restriction regimens . ADMF includes a "feed day" where food is consumed ad-libitum over a 24-h period, alternated with a "fast day", where food intake is partially reduced for 24-h. ADMF only requires an individual to restrict food intake on every other day, and as such, greatly increases adherence to these protocols. To date, four ADMF human trials have been performed [12–15], two of which were weight loss studies [13, 14]. In the first trial by Johnson et al. , 8 weeks of modified ADMF, which allowed for 20% of energy needs to be consumed on the fast day, decreased body weight by 8% from baseline in overweight adults. In the second study conducted by our group , 8 weeks of modified ADMF (i.e. 25% energy intake on the fast day, alternated with an ad libitum feed day) resulted in a 6% weight loss in obese individuals. Although these preliminary findings suggest that ADMF may be an effective weight loss strategy, [13, 14, 16] what has yet to be examined is the dietary and physical activity adaptations that contributed to this pronounced weight loss by ADMF. Key questions that remain unresolved include: Are obese subjects able to dramatically change their meal pattern and limit their energy intake to 25% of needs on the fast day? If this is the case, what degree of hyperphagia occurs on the feed day in response to this lack of food on the fast day, and how does this affect net energy restriction and rate of weight loss? Moreover, how long does it take for obese subjects to become habituated to ADMF (i.e. no longer feel hungry on the fast day)? Furthermore, what changes in habitual physical activity occur during ADMF, and how do these changes affect rate of weight loss?
Accordingly, the objective of the present study was to examine the dietary and physical activity adaptations that occur during short-term ADMF, and to determine how these modulations affect rate of weight loss.
This study was approved by the Office for the Protection of Research Subjects at the University of Illinois, Chicago, and all volunteers gave their written informed consent prior to participation in the trial. As reported previously , participants were recruited by means of advertisements placed in community centers in the Chicago metropolitan area. Inclusion and exclusion criteria were assessed by an in-person interview. Participants meeting the following criteria were included in the study: age 35 to 65 y; body mass index between 30 and 39.9 kg/m2; weight stable for 3 months prior to the beginning of the study (i.e. less than 5 kg weight loss or weight gain); non-diabetic; no history of cardiovascular disease; lightly active (i.e. < 3 h/week of light intensity exercise at 2.5 to 4.0 metabolic equivalents (METs) for 3 months prior to the study); not participating in an exercise class; non-smoker; and not taking weight loss, lipid or glucose lowering medications. Peri-menopausal women were excluded from the study, and post-menopausal women (absence of menses for more than 2 y) were required to maintain their current hormone replacement therapy regimen for the duration of the study.
Meal components of provided fast day meals during controlled feeding phase
Fast day 1
Fast day 2
Fast day 3
Weight loss assessment
Body weight was measured weekly to the nearest 0.25 kg in the fasted state, without shoes, and in light clothing using a balance beam scale (HealthOMeter, Sunbeam Products, Boca Raton, FL).
Reported food intake on feed days
Each participant completed a 3-day food record on 2 feed days during the week, and on 1 feed day during the weekend, at each week of the 10-week trial. Thus, a total of 30 feed day food records were collected for each subject. At baseline, the Research Dietician provided 15 min of instruction to each participant on how to complete the food records. These instructions included verbal information and detailed reference guides on how to estimate portion sizes and record food items in sufficient detail to obtain an accurate estimate of dietary intake. Subjects were instructed to record food items, in as much detail as possible, in the blank food diary provided. Any mixed foods were broken down to individual food items to be recorded one per line. Participants were not required to weigh foods but were asked to measure the volume of foods consumed with household measures (i.e. measuring cups and measuring spoons). When a commercial product was consumed, subjects were asked to indicate the weight of the product to assess portion size. Food records were collected at the weigh-in each week, and were reviewed by the Dietician for accuracy and completeness. All dietary information from the food records was entered into the food analysis program, Nutritionist Pro (Axxya Systems) by a single trained operator to alleviate inter-investigator bias. The program was used to calculate the total daily intake of energy, fat, protein, carbohydrate, cholesterol, and fiber.
Reported food intake on fast days
During the ADMF controlled feeding phase, subjects were asked to report any additional food item consumed that was not included in the provided meal. During the ADMF self-selected feeding phase, each participant was asked to record his or her food intake on each fast day. At the beginning of this phase, the Research Dietician went over the food record instructions once again with each subject. Fast day food records were collected at the weigh-in each week, and all records were reviewed for accuracy and completeness by the Dietician. Dietary information from the fast day food records was analyzed by a single trained operator using Nutritionist Pro (Axxya Systems).
Hunger, satisfaction with diet, and fullness assessment
Subjects completed a validated visual analog scale (VAS) on each fast day, in the evening, approximately 5 min before going to bed (reported bedtime ranged from 8.20 pm to 1.40 am) . In brief, the VAS consisted of 100-mm lines, and subjects were asked to make a vertical mark across the line corresponding to their feelings from 0 (not at all) to 100 (extremely) for hunger, satisfaction with diet, or fullness. The VAS was collected at the weigh-in each week and reviewed for completeness. Quantification was performed by measuring the distance from the left end of the line to the vertical mark.
Physical activity assessment
Habitual, free-living physical activity was assessed by a pedometer (Digiwalker SW-200, Yamax Corporation, Tokyo, Japan SW). Subjects wore the pedometer each day throughout the 10-week trial. The pedometer was worn attached to the participant's waistband during waking hours (except while bathing or swimming), and reset to zero each morning. Number of daily steps were recorded in a pedometer log provided, and the log was collected by study personnel at the weigh-in each week. No subjects were enrolled in an exercise class, and all participants were asked to refrain from joining any exercise programs during the course of the study. In this way, any changes in physical activity during the study could be estimated by the use of the pedometer.
Results are presented as means ± standard error of the mean (SEM). Tests for normality were included in the model. One-factor repeated measures analysis of variance was performed to determine an overall P value over time. The main variables tested included body weight, energy intake, nutrient intake, hunger, satisfaction and fullness. The Bonferroni correction was used to assess significance. Relations between continuous variables (i.e. body weight, energy intake, nutrient intake, hunger, satisfaction and fullness) were assessed by simple regression analyses as appropriate. Data were analyzed by using SPSS software (version 18.0 for Mac OS X; SPSS Inc., Chicago, IL).
Subject characteristics at baseline
Of the 52 participants screened, 20 were deemed eligible to participate in the study, and 16 (4 men/12 women) completed the entire 10-week trial. Subjects who completed the study were middle age (46 ± 3 y, 35-65 y), obese (BMI 34 ± 1 kg/m2, 30.2-39.9 kg/m2), sedentary (2.4 ± 0.3 h/week of physical activity), and borderline hypercholesterolemic (LDL cholesterol level 106 ± 10 mg/dl). Eight participants were African-American, 2 were Caucasian, and 6 were Hispanic.
Changes in body weight in response to ADMF
During the control phase, body weight remained stable (week 1: 96.4 ± 5.3 kg, week 2: 96.5 ± 5.2 kg). At the end of the ADMF controlled feeding phase (week 6), body weight decreased (P < 0.001) to 93.8 ± 5.0 kg (feed day measurement) and 93.7 ± 5.0 kg (fast day measurement). By the end of the ADMF self-selected feeding phase (week 10), body weight was further reduced (P < 0.001) to 92.8 ± 4.8 kg (feed day measurement) and 90.8 ± 5.0 kg (fast day measurement). Thus, a total weight loss of 5.6 ± 1.0 kg (-0.7 ± 1.0 kg per week) was attained after 8 weeks of ADMF.
Degree of energy restriction achieved with ADMF and relation to body weight changes
Changes in nutrient intake during ADMF and relation to body weight changes
Nutrient composition of feed day and fast day meals during each phase of the trial1
Pre-loss control phase2
Weight loss/ADMF controlled feeding phase
Weight loss/ADMF self-selected feeding phase
1937 ± 180
1792 ± 228
413 ± 20
1645 ± 187
588 ± 46
Protein (% kcal)
18 ± 1
18 ± 1
23 ± 1
19 ± 1
20 ± 1
Carbohydrate (% kcal)
46 ± 3
47 ± 3
52 ± 0
46 ± 2
51 ± 3
Total fat (% kcal)
36 ± 5a
36 ± 6a
25 ± 1b
33 ± 4b
29 ± 1b
Saturated fat (% kcal)
11 ± 1a
10 ± 1a
6 ± 1b
7 ± 1b
9 ± 1a
Monounsaturated fat (% kcal)
11 ± 1
12 ± 1
11 ± 1
13 ± 1
8 ± 1
Polyunsaturated fat (% kcal)
10 ± 2
11 ± 1
8 ± 1
10 ± 1
9 ± 1
Trans fat (% kcal)
4 ± 1a
3 ± 1a
3 ± 1a
3 ± 1a
249 ± 46a
239 ± 24a
68 ± 3b
223 ± 27a
73 ± 9b
0.13 ± 0
0.13 ± 0
0.17 ± 0
0.14 ± 0
0.12 ± 0
16 ± 2a
12 ± 2a
10 ± 1b
15 ± 1a
7 ± 1b
0.008 ± 0
0.008 ± 0
0.02 ± 0
0.009 ± 0
0.01 ± 0
Hunger, satisfaction with diet, and fullness
Changes in physical activity habits
Preliminary reports indicate that ADMF may be an effective strategy to help obese individuals lose weight [13, 14]. However, the dietary and physical activity adaptations that contributed to this pronounced weight loss by ADMF were not tested previously. We show here, for the first time, that weight loss by ADMF occurred due to change in meal pattern, i.e. obese subjects limited their energy intake to 25% of needs on the fast day with no hyperphagic response on the feed day. This change in meal pattern helped these subjects to achieve a marked degree of energy restriction (37% net daily) which was related to the pronounced weight loss attained (5.6 kg in 8 weeks). This study is also the first to demonstrate that subjects become habituated to the ADMF diet (i.e. feel very little hunger on the fast day) after approximately 2 weeks, and that physical activity habits are not affected by fasting on alternate days.
A key objective of the present study was to examine the degree of energy restriction achieved by ADMF and to investigate how this relates to rate of weight loss. In order to measure energy intake and percent energy restriction, we asked obese participants to complete food records on feed and fast days throughout the trial. Results from the food record analysis reveal that obese subjects were able to consistently limit their energy intake to approximately 25% of needs (500 kcal) on the fast day. Our data also show that the ratio of energy consumed on the fast day versus the feed day did not differ between phases. However, it should be noted that there was a trend towards consuming less energy on the feed days, and more energy on the fast days over the course of the trial. It will therefore be of interest in long-term ADMF studies to examine whether restriction gradually diminishes on the fast day after several months of diet. The degree of hyperphagia that occurred on the feed day in response to the lack of food on the fast day was also assessed. Our data indicate that no hyperphagic response took place as subjects only consumed approximately 95% of their calculated energy needs on each feed day throughout the trial. These findings therefore suggest that obese subjects are able to drastically change their meal pattern in a way that conforms to the ADMF protocol. Nevertheless, there are several limitations to these data that must be discussed. First and foremost, it is well known that obese subjects underreport energy intake by 20 to 40% when completing food records [20, 21]. The extent to which these subjects underreported energy intake became apparent when we tried to relate reported energy intake to the weight loss achieved. From the food record data, we calculated that, on average, subjects were restricted by 37% of calculated needs every day. If the subjects were indeed restricted by this amount, this would have resulted in a rate if weight loss of 1.2 kg/week. In actuality, the rate of weight loss was 0.7 kg/week. This disparity between reported intake and weight loss can be observed when examining the limited amount of weight lost during the 4-week self-selected feeding phase (body weight reduction of 93.8 kg to 92.8 on the feed day, equivalent to 1 kg of weight loss). The incongruity between self-reported energy intake and rate of weight loss therefore suggests that subjects were underreporting energy intake. In view of this, it will be important for future ADMF trials to assess energy intake and energy restriction by more robust methods, such as the doubly labeled water technique [22, 23]. It should also be mentioned that assessing body weight changes by ADMF is difficult as weight measurements are drastically different from feed to fast day. This discrepancy in body weight is most likely due to the additional weight of food present in the gastrointestinal tract, and not changes in fat mass from day to day. As a potential solution, future trials of ADMF should average body weight measurements taken from consecutive feed and fast days to attain a more accurate assessment of weight.
In addition to energy intake, we also examined changes in dietary macronutrient composition throughout the course of the trial. We hypothesized that during the ADMF controlled feeding phase (weeks 3-6), when dietary counseling was not provided, subjects would instinctively choose higher fat/more energy dense foods on the feed day to make up for the lack of energy consumed on the fast day. Interestingly, fat intake did not increase from the baseline period (36% of kcal) to the ADMF-controlled feeding period (36% of kcal). These preliminary data suggest that subjects are not likely to consume higher fat diets on the feed day when partaking in an ADMF regimen. We also hypothesized that the dietary counseling provided during the self-selected feeding phase (weeks 7-10), would help subjects decrease total fat, saturated fat, and cholesterol intake, while increasing fiber intake. Results reveal that counseling assisted these individuals in lowering their total fat and saturated fat intakes to levels that conform with NCEP dietary recommendations , and that these changes in fat intake were related to rate of weight loss. On the other hand, dietary counseling appeared to have no effect on cholesterol or fiber intake. This lack of effect of dietary counseling on the intakes of these nutrients has been reported previously . It should also be noted that fiber intake on the fast day was particularly low (7-10 g/d). Since quantity of food consumed on the fast day is limited, it would be difficult for individuals to meet fiber requirements . As such, it is recommended that future trials in the ADMF field provide a fiber supplement on the fast day to help individuals meet recommendations [19, 26].
Changes in perceived hunger, satisfaction with diet, and fullness were also evaluated on each fast day throughout the trial. This study is the first to show that obese subjects become habituated with ADMF after approximately 2 weeks of diet (i.e. feel very little hunger on the fast day). Our data also demonstrate that subjects become more satisfied with ADMF after approximately 4 weeks of diet. Feelings of fullness, however, remained low across the course of the trial suggesting that subjects never felt "full" at any point while undergoing 8-weeks of ADMF. These findings may have important implications for long-term adherence to ADMF by obese men and women [27–29]. More specifically, since hunger virtually diminishes, and since satisfaction with diet considerably increases within a short amount of time (2-4 weeks), it is likely that obese participants would be able to follow the diet for longer periods of time. It is important to note, however, that the subjects only completed the VAS scales pre-bedtime. Thus, the data only reflects their feelings immediately before going to bed, and is not indicative of their feelings of hunger and satisfaction throughout the day. Future trials in this area should administer these VAS scales throughout the day to obtain a more complete data set for these variables. It should also be noted that hunger spiked at week 8. We speculate that this may have occurred because this study week corresponded to Memorial Day weekend, and subjects may have felt hungrier while attending food-related celebrations. Moreover, trials examining the ability of obese subjects to comply with ADMF for longer durations (i.e. 24 to 52 weeks), and in consequence, lose larger amounts of weight, will be an important focus of future research in this field.
The effects of ADMF on habitual physical activity was also assessed by having the subjects wear a pedometer on everyday of the study. We hypothesized that subjects would feel less energetic on the fast days, and would therefore be less physically active (i.e. take less steps/d) on fast days than feed days. Surprisingly, physical activity level did not differ between feed and fast days. Moreover, there was no difference in activity level when steps/d taken during the ADMF phase were compared to steps/d taken during the control phase. Similar results have also been reported in normal weight individuals undergoing ADMF . These data suggest that obese individuals are able to maintain their level of habitual physical activity despite decreases in energy intake on the fast day. This maintenance of physical activity while undergoing ADMF would thus allow obese individuals to lose weight consistently on feed and fast days as energy expenditure would stay constant.
A key limitation of this study is that there was no true control group. Having a control arm run parallel to the treatment (ADMF) arm would have strengthened the study by allowing us to: 1) compare changes in the ADMF group to that of a non-restricted control group at each time point, and 2) identify events (such as holidays) that may have resulted in deviations from the prescribed diet. Future studies aiming to test similar objectives should employ a control group where possible.
In summary, these findings indicate that obese subjects quickly adapt to ADMF, and that changes in energy/macronutrient intake, hunger level, and maintenance of physical activity play a role in influencing rate of weight loss by ADMF. These preliminarily data offer promise for the implementation of ADMF as a long-term weight loss strategy in obese populations.
We are grateful for the help of Kathryn Tomaszewski and Kristin Hoody during the analysis phase of the trial. Funding source: University of Illinois at Chicago, Departmental funding.
- Overweight and Obesity Trends Among Adults. 2009, Atlanta, GA: Centers for Disease Control and Prevention
- Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: The Evidence Report. 1998, NHLBI Publication #98-4083
- Nicklas BJ, Wang X, You T, Lyles MF, Demons J, Easter L, Berry MJ, Lenchik L, Carr JJ: Effect of exercise intensity on abdominal fat loss during calorie restriction in overweight and obese postmenopausal women: a randomized, controlled trial. Am J Clin Nutr. 2009, 89 (4): 1043-1052. 10.3945/ajcn.2008.26938.View ArticlePubMedPubMed CentralGoogle Scholar
- Kirk E, Reeds DN, Finck BN, Mayurranjan SM, Patterson BW, Klein S: Dietary fat and carbohydrates differentially alter insulin sensitivity during caloric restriction. Gastroenterology. 2009, 136 (5): 1552-1560. 10.1053/j.gastro.2009.01.048.View ArticlePubMedPubMed CentralGoogle Scholar
- Parra D, Bandarra NM, Kiely M, Thorsdottir I, Martinez JA: Impact of fish intake on oxidative stress when included into a moderate energy-restricted program to treat obesity. Eur J Nutr. 2007, 46 (8): 460-467. 10.1007/s00394-007-0686-3.View ArticlePubMedGoogle Scholar
- Ho JT, Keogh JB, Bornstein SR, Ehrhart-Bornstein M, Lewis JG, Clifton PM, Torpy DJ: Moderate weight loss reduces renin and aldosterone but does not influence basal or stimulated pituitary-adrenal axis function. Horm Metab Res. 2007, 39 (9): 694-699. 10.1055/s-2007-985354.View ArticlePubMedGoogle Scholar
- Steyer TE, Ables A: Complementary and alternative therapies for weight loss. Prim Care. 2009, 36 (2): 395-406.View ArticlePubMedGoogle Scholar
- Dansinger ML, Gleason JA, Griffith JL, Selker HP, Schaefer EJ: Comparison of the Atkins, Ornish, Weight Watchers, and Zone diets for weight loss and heart disease risk reduction: a randomized trial. JAMA. 2005, 293 (1): 43-53. 10.1001/jama.293.1.43.View ArticlePubMedGoogle Scholar
- Das SK, Gilhooly CH, Golden JK, Pittas AG, Fuss PJ, Cheatham RA, Tyler S, Tsay M, McCrory MA, Lichtenstein AH, et al: Long-term effects of 2 energy-restricted diets differing in glycemic load on dietary adherence, body composition, and metabolism in CALERIE: a 1-y randomized controlled trial. Am J Clin Nutr. 2007, 85 (4): 1023-1030.PubMedGoogle Scholar
- Fardet L, Flahault A, Kettaneh A, Tiev KP, Toledano C, Lebbe C, Cabane J: [Systemic corticosteroid therapy: patients' adherence to dietary advice and relationship between food intake and corticosteroid-induced lipodystrophy]. Rev Med Interne. 2007, 28 (5): 284-288. 10.1016/j.revmed.2006.12.013.View ArticlePubMedGoogle Scholar
- Varady KA, Hellerstein MK: Alternate-day fasting and chronic disease prevention: a review of human and animal trials. Am J Clin Nutr. 2007, 86 (1): 7-13.PubMedGoogle Scholar
- Halberg N, Henriksen M, Soderhamn N, Stallknecht B, Ploug T, Schjerling P, Dela F: Effect of intermittent fasting and refeeding on insulin action in healthy men. J Appl Physiol. 2005, 99 (6): 2128-2136. 10.1152/japplphysiol.00683.2005.View ArticlePubMedGoogle Scholar
- Johnson JB, Summer W, Cutler RG, Martin B, Hyun DH, Dixit VD, Pearson M, Nassar M, Telljohann R, Maudsley S, et al: Alternate day calorie restriction improves clinical findings and reduces markers of oxidative stress and inflammation in overweight adults with moderate asthma. Free Radic Biol Med. 2007, 42 (5): 665-674. 10.1016/j.freeradbiomed.2006.12.005.View ArticlePubMedGoogle Scholar
- Varady KA, Bhutani S, Church EC, Klempel MC: Short-term modified alternate day fasting: A novel dietary strategy for weight loss and cardio-protection in obese adults. Am J Clin Nutr. 2009, 90 (5): 1138-1143. 10.3945/ajcn.2009.28380.View ArticlePubMedGoogle Scholar
- Heilbronn LK, Smith SR, Martin CK, Anton SD, Ravussin E: Alternate-day fasting in nonobese subjects: effects on body weight, body composition, and energy metabolism. Am J Clin Nutr. 2005, 81 (1): 69-73.PubMedGoogle Scholar
- Bhutani S, Klempel MC, Berger RA, Varady KA: Improvements in Coronary Heart Disease Risk Indicators by Alternate-Day Fasting Involve Adipose Tissue Modulations. Obesity (Silver Spring). 2010Google Scholar
- Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO: A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990, 51 (2): 241-247.PubMedGoogle Scholar
- Flint A, Raben A, Blundell JE, Astrup A: Reproducibility, power and validity of visual analogue scales in assessment of appetite sensations in single test meal studies. Int J Obes Relat Metab Disord. 2000, 24 (1): 38-48. 10.1038/sj.ijo.0801083.View ArticlePubMedGoogle Scholar
- Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (ATP III Final Report). 2002, NHLBI Publication # 02-5215. National Institutes of Health, 1-280.
- Kretsch MJ, Fong AK, Green MW: Behavioral and body size correlates of energy intake underreporting by obese and normal-weight women. J Am Diet Assoc. 1999, 99 (3): 300-306. 10.1016/S0002-8223(99)00078-4. quiz 307-308View ArticlePubMedGoogle Scholar
- Goris AH, Westerterp-Plantenga MS, Westerterp KR: Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. Am J Clin Nutr. 2000, 71 (1): 130-134.PubMedGoogle Scholar
- Schoeller DA: Recent advances from application of doubly labeled water to measurement of human energy expenditure. J Nutr. 1999, 129 (10): 1765-1768.PubMedGoogle Scholar
- Surrao J, Sawaya AL, Dallal GE, Tsay R, Roberts SB: Use of food quotients in human doubly labeled water studies: comparable results obtained with 4 widely used food intake methods. J Am Diet Assoc. 1998, 98 (9): 1015-1020. 10.1016/S0002-8223(98)00232-6.View ArticlePubMedGoogle Scholar
- Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, McManus K, Champagne CM, Bishop LM, Laranjo N, et al: Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med. 2009, 360 (9): 859-873. 10.1056/NEJMoa0804748.View ArticlePubMedPubMed CentralGoogle Scholar
- Hyman FN, Sempos E, Saltsman J, Glinsmann WH: Evidence for success of caloric restriction in weight loss and control. Summary of data from industry. Ann Intern Med. 1993, 119 (7 Pt 2): 681-687.View ArticlePubMedGoogle Scholar
- Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. 2005, National Academy of Sciences. Institute of Medicine. Food and Nutrition Board
- Anton SD, Han H, York E, Martin CK, Ravussin E, Williamson DA: Effect of calorie restriction on subjective ratings of appetite. J Hum Nutr Diet. 2009, 22 (2): 141-147. 10.1111/j.1365-277X.2008.00943.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Drapeau V, King N, Hetherington M, Doucet E, Blundell J, Tremblay A: Appetite sensations and satiety quotient: predictors of energy intake and weight loss. Appetite. 2007, 48 (2): 159-166. 10.1016/j.appet.2006.08.002.View ArticlePubMedGoogle Scholar
- Drapeau V, Blundell J, Therrien F, Lawton C, Richard D, Tremblay A: Appetite sensations as a marker of overall intake. Br J Nutr. 2005, 93 (2): 273-280. 10.1079/BJN20041312.View ArticlePubMedGoogle Scholar
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