Low relative resting metabolic rate and body weight gain in adult Caucasian Italians

Buscemi, Silvio; Verga, S; Caimi, Gregorio; Cerasola, Giovanni

doi:10.1038/sj.ijo.0802888

Cited by 72 publications

(60 citation statements)

References 21 publications

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“…Most studies enrolled obese participants (mean BMI: 32-36) (3)(4)(5), and some of studies included relatively small numbers of subjects (6) or had shorter durations of follow-up (3,4). The percentage of subjects in whom we were able to collect follow-up weight data was comparable with that in other studies (3,5) and much greater than the 30% follow-up reported in a study of Italian adults (6). One study of lean Nigerians showed that higher resting energy expenditures (REEs) were positively associated with weight gain (8), but the REE was not measured under as carefully controlled conditions, and body composition was measured by bioelectrical impedance, either of which could have affected the results.…”

Section: Discussionsupporting

confidence: 64%

“…The retrospective cohort study design meant that we could not collect data from people who moved away. However, our follow-up rates were comparable with or better than those of studies that reported significant associations between BMR and subsequent weight gain (3,5,6). Because it was not possible to collect comprehensive information regarding the diet and activity habits for the w9 y after the original studies, we cannot know why adults with low BMRs gained no more weight than did adults with high BMRs.…”

Section: Discussioncontrasting

confidence: 45%

“…Much of the interindividual variability in the BMR is predicted by body composition, age, sex, and ethnicity (1,2). Some (3)(4)(5)(6) but not all (7,8) investigators report that a low BMR, adjusted for body composition, sex, and age, is an independent predictor of future weight gain. However, the participants in the prominent, positive studies were somewhat selected populations (3)(4)(5).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Does basal metabolic rate predict weight gain?

Anthanont

Jensen

2016

The American Journal of Clinical Nutrition

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Background: Some previous studies have indicated that a low basal metabolic rate (BMR) is an independent predictor of future weight gain, but low rates of follow-up and highly select populations may limit the ability to generalize the results. Objective: We assessed whether adults with a low BMR gain more weight than do adults with a high BMR who are living in a typical Western environment. Design: We extracted BMR, body-composition, demographic, and laboratory data from electronic databases of 757 volunteers who were participating in our research protocols at the Mayo Clinic between 1995 and 2012. Research study volunteers were always weight stable, had no acute illnesses and no confounding medication use, and were nonsmokers. The top and bottom 15th percentiles of BMR, adjusted for fat-free mass (FFM), fat mass, age, and sex, were identified. Follow-up electronic medical record system data were available for 163 subjects, which allowed us to determine their subsequent weight changes for $3 y (mean: w9.7 y). Results: By definition, the BMR was different in the high-BMR group (2001 6 317 kcal/d; n = 86) than in the low-BMR group (1510 6 222 kcal/d; n = 77), but they were comparable with respect to age, body mass index, FFM, and fat mass. Rates of weight gain were not greater in the bottom BMR group (0.3 6 1.0 kg/y) than in the top BMR group (0.5 6 1.5 kg/y) (P = 0.17). Conclusion: Adults with low BMRs did not gain more weight than did adults with high BMRs, implying that habitual differences in food intake or activity counterbalance variations in BMR as a risk factor for weight gain in a typical Western population.Am J Clin Nutr 2016;104:959-63.

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Section: Discussionsupporting

confidence: 64%

Section: Discussioncontrasting

confidence: 45%

Section: Introductionmentioning

confidence: 99%

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Does basal metabolic rate predict weight gain?

Anthanont

Jensen

2016

The American Journal of Clinical Nutrition

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“…7 Increased sedentary behaviour is an important factor in the development of human obesity. 10 Whilst low-resting energy expenditure may contribute to obesity, 11,12 recent research has indicated it has minimal impact on weight gain 13,14 and activity-related energy expenditure may be much more important. 15 It has been reported that low physical activity accounted for 77% of weight gain over a year in one prospective study 16 and inactivity is a major determinant of increased adiposity during overfeeding.…”

Section: Introductionmentioning

confidence: 99%

Oxyntomodulin increases energy expenditure in addition to decreasing energy intake in overweight and obese humans: a randomised controlled trial

et al. 2006

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Background: Oxyntomodulin has recently been found to decrease body-weight in obese humans and may be a potential antiobesity therapy. Objective: To determine whether oxyntomodulin alters energy expenditure, in addition to reducing energy intake, in 'freeliving' overweight and obese volunteers. Design: Randomized double-blind controlled cross-over trial. Setting: Community and hospital-based. Participants: Fifteen healthy overweight and obese men and women (age: 23-49 years, BMI: 25.1-39.0 kg/m 2 ). All volunteers completed the study protocol. Interventions: Four-day subcutaneous self-administration of pre-prandial oxyntomodulin, three times daily. Participants were advised to maintain their normal dietary and exercise regimen. Measurements: (1) Energy expenditure, measured by indirect calorimetry and combined heart rate and movement monitoring; (2) energy intake, measured during a study meal. Results: Oxyntomodulin administration reduced energy intake at the study meal by 128729 kcal (P ¼ 0.0006) or 17.375.5% (P ¼ 0.0071), with no change in meal palatability. Oxyntomodulin did not alter resting energy expenditure; but increased activity-related energy expenditure by 1437109 kcal/day or 26.279.9% (P ¼ 0.0221); total energy expenditure by 9.474.8% (P ¼ 0.0454) and physical activity level by 9.574.6% (P ¼ 0.0495). A reduction in body weight of 0.570.2% was observed during the oxyntomodulin administration period (P ¼ 0.0232). Conclusion: Oxyntomodulin increases energy expenditure while reducing energy intake resulting in negative energy balance. This data supports the role of oxyntomodulin as a potential anti-obesity therapy.

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“…41,42 It is well documented that increased weight gain in some obese mouse models is related to a reduction in RMR and core body temperature. 43,44 Indeed, there have been several case reports of risperidone-and olanzapine-induced hypothermia in patients; [45][46][47][48][49][50] however, these case studies do not indicate the risk of weight gain associated with the hypothermia.…”

Section: Discussionmentioning

confidence: 99%

No effect of dietary fat on short-term weight gain in mice treated with atypical antipsychotic drugs

et al. 2007

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Rationale: Atypical antipsychotic drugs (AAD) induce significant weight gain in female C57BL/6J mice. The effect of dietary fat on weight gain and serum lipids in this model is unknown. Objectives: Test the hypothesis that the obesigenic effects of these drugs are greater in the presence of a high-fat diet. Methods: Female C57BL/6J mice were treated with atypical antipsychotics for 3 weeks and fed either a low-fat or high-fat diet (4.6 vs 15.6% fat by wt). Food intake (FI), body weight (BW), body composition, and serum lipids were measured during treatment with optimized doses of olanzapine, quetiapine, and risperidone. Energy intake (EI) and feed efficiency (FE) were calculated. Group differences in change were analyzed via repeated measures analysis of variance (ANOVA). Serum lipid concentrations, EI and FE were compared using two-way ANOVA. Results: AAD-treated mice gained significantly more weight than controls after 3 weeks (Po0.001). Treatment and diet had significant effects on FI and EI over time (Po0.001). AAD-treated mice had significantly higher FE than controls (Po0.05); however, there was no significant drug by diet interaction (P ¼ 0.65). Risperidone low-fat mice gained significantly more absolute fat mass than placebo low-fat mice (Po0.05). All treatment groups, except quetiapine low-fat and olanzapine high-fat, gained significantly more absolute lean mass than placebo controls (Po0.05). Cholesterol levels were significantly lower in quetiapine and risperidone than placebo (Po0.05). Risperidone low-fat mice had significantly higher triglyceride levels than placebo and risperidone high-fat mice (Po0.05). Conclusions: A high-fat diet does not increase AAD-induced BW gain in female mice during a 3-week treatment period.

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Low relative resting metabolic rate and body weight gain in adult Caucasian Italians

Cited by 72 publications

References 21 publications

Does basal metabolic rate predict weight gain?

Does basal metabolic rate predict weight gain?

Oxyntomodulin increases energy expenditure in addition to decreasing energy intake in overweight and obese humans: a randomised controlled trial

No effect of dietary fat on short-term weight gain in mice treated with atypical antipsychotic drugs

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