Effect of physical exercise on spontaneous physical activity energy expenditure and energy intake in overweight adults (the EFECT study): a study protocol for a randomized controlled trial

Paravidino, Vitor Barreto; Mediano, Mauro Felippe Felix; Silva, Inácio Crochemore M.; Wendt, Andrea; Vecchio, Fabrício Boscolo Del; Neves, Fabiana Alves; Terra, Bruno; Gomes, Erika Alvarenga Corrêa; Moura, Aníbal Sanchez; Sichieri, Rosely

doi:10.1186/s13063-018-2445-6

Cited by 7 publications

(6 citation statements)

References 46 publications

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“…Men and subjects of normal weight, overweight and obesity had a higher negative EIBG, compared to women and underweight people, respectively, and differences and similarities between countries were found. It is important to note that previous studies had shown that EIBG increases substantially when BMI moves away from 25 [36,46,47] and is higher with moderate physical activity [49,50].…”

Section: Discussionmentioning

confidence: 93%

Energy Imbalance Gap, Anthropometric Measures, Lifestyle, and Sociodemographic Correlates in Latin American Adults—Results from the ELANS Study

García

Cuenca

Ferrari

et al. 2022

IJERPH

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Overweight and obesity are often explained by an imbalance between energy intake and expenditure. This, in addition to metabolic effects, makes it difficult to assess the real state of individual energy balance. This study aims to analyze the energy gaps between intake and expenditure in the adult population of Latin America, as well as its relationships with sociodemographic variables and nutrition status, to draw an epidemiological perspective based on the trends observed. The energy imbalance gap was used to this end. The difference between energy intake and expenditure can be applied as a reference to explain whether weight equilibrium can prevent weight gain. Moreover, the energy imbalance gap allows for a better understanding of the design of public health policies. Using data from the Latin American Study of Nutrition and Health, the energy imbalance gap in adult population from eight Latin-American countries was assessed in 5994 subjects aged from 19–65. Usual dietary intake was measured using two non-consecutive 24 h dietary recalls. The sociodemographic questionnaire was supplemented by anthropometric measurements. Physical activity was measured through the long International Physical Activity Questionnaire. Energy expenditure was obtained using the basal metabolic rate. For the overall sample, the mean energy intake was 1939.1 kcal (95% CI: 1926.9; 1951.3), the mean of energy expenditure was 1915.7 kcal (95% CI: 1906.4; 1924.9), and the mean of energy imbalance gap was 23.4 kcal (95% CI: 11.9; 35.0). Results show that energy intake and expenditure were higher in men. Moreover, subjects aged 19–34, of high socioeconomic level, who completed high school, were mestizos and were of normal weight consumed the highest number of calories. Overall, a positive energy imbalance gap was observed. Overweight and obese from Argentina, Costa Rica, Ecuador, Peru, and Venezuela showed a significantly lower energy imbalance gap than underweight subjects. These findings confirm the high variability of energy imbalance gap and the accompanying correlates of energy intake and expenditure. Further research is needed to specifically address interventions in low and middle-income countries such as many in Latin America, to help reduce the prevalence of obesity and eradicate undernutrition.

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Section: Discussionmentioning

confidence: 93%

Energy Imbalance Gap, Anthropometric Measures, Lifestyle, and Sociodemographic Correlates in Latin American Adults—Results from the ELANS Study

García

Cuenca

Ferrari

et al. 2022

IJERPH

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“…A further 65 studies were excluded for the following reasons: ineligible publication format (n = 13), lack of a control group (n = 34), and not a military sample (n = 18). Finally, 21 studies [57,60,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88] were included in this systematic review, 16 of which [57,71,72,[74][75][76][77][78][80][81][82][83][84][85]87,88] were included in the meta-analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Of these 21 included studies, sixteen studies [57,71,72,[74][75][76][77][78][80][81][82][83][84][85]87,88] were included in the longitudinal meta-analyses investigating the effect sizes of BW [71,72,[74][75][76][77][78]80,[82][83][84][85]87,88] and BMI [57,71,72,77,78,[80][81][82][83][84][85]87] comparing pre-to post-intervention values for the treatment group (11 studies were used in both the BW and BMI longitudinal meta-analyses). Sixteen studies [57,71,72,[74][75][76][77]…”

Section: Characteristics Of Included Studies and Participantsmentioning

confidence: 99%

Randomized Controlled Trials to Treat Obesity in Military Populations: A Systematic Review and Meta-Analysis

Gravina,

Keeler,

Akkese

et al. 2023

Nutrients

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In recent years, overweight and obesity have reached an alarmingly high incidence and prevalence worldwide; they have also been steadily increasing in military populations. Military personnel, as an occupational group, are often exposed to stressful and harmful environments that represent a risk factor for disordered eating, with major repercussions on both physical and mental health. This study aims to explore the effectiveness of weight loss interventions and assess the significance of current obesity treatments for these populations. Three online databases (PubMed, PsycInfo, and Web of Science) were screened to identify randomized controlled trials (RCTs) aiming to treat obesity in active-duty military personnel and veterans. Random-effects meta-analyses were conducted for body weight (BW) and body mass index (BMI) values, both longitudinally comparing treatment groups from pre-to-post intervention and cross-sectionally comparing the treatment group to controls at the end of the intervention. A total of 21 studies were included: 16 cross-sectional (BW: n = 15; BMI: n = 12) and 16 longitudinal (BW: n = 15; BMI: n = 12) studies were meta-analyzed, and 5 studies were narratively synthesized. A significant small overall BW and BMI reduction from baseline to post-intervention was observed (BW: g = −0.10; p = 0.015; BMI: g = −0.32; p < 0.001), together with a decreased BMI (g = −0.16; p = 0.001) and nominally lower BW (g = −0.08; p = 0.178) in the intervention group compared to controls at the post-intervention time-point. Despite limitations, such as the heterogeneity across the included interventions and the follow-up duration, our findings highlight how current weight loss interventions are effective in terms of BW and BMI reductions in military populations and how a comprehensive approach with multiple therapeutic goals should be taken during the intervention.

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“…In addition, most research has examined the influence of aerobic exercise (AEx) on NEPA, but few studies have examined changes in NEPA after resistance exercise (REx) ( 20 ). Some studies report that NEPA may increase after long-term REx ( 21 , 22 ), whereas NEPA is more likely to remain unchanged or decrease after AEx ( 23 , 24 ). However, few trials have directly compared the influence of REx versus AEx on NEPA, and it is unknown if the different exercise modalities elicit distinct responses ( 20 ).…”

Section: Introductionmentioning

confidence: 99%

The Effects of an Acute Bout of Aerobic or Resistance Exercise on Nonexercise Physical Activity

et al. 2023

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Introduction/Purpose A reduction in nonexercise physical activity (NEPA) after exercise may reduce the effectiveness of exercise interventions on weight loss in adults with overweight or obesity. Aerobic exercise (AEx) and resistance exercise (REx) may have different effects on NEPA. The purpose of this secondary analysis was to examine the effect of a single bout of AEx or REx on NEPA and sedentary behavior in inactive adults with overweight or obesity. Methods Adults with overweight or obesity (n = 24; 50% male; age, 34.5 ± 1.5 yr; body mass index, 28.5 ± 0.9 kg·m−2) not meeting current physical activity guidelines completed a single 45-min bout of AEx, REx, or a sedentary control on different days in random order. After each condition, participants’ NEPA was recorded for 84 h by accelerometer. Time spent sedentary and in light, moderate, and vigorous physical activity; steps; metabolic equivalent of task (MET)-hours; and sit-to-stand transitions were calculated using activity count data. Results No differences were observed in the percent of waking time spent sedentary and in light, moderate, and vigorous activity between conditions (P > 0.05). No differences were observed in steps, MET-hours, or sit-to-stand transitions between conditions (P > 0.05). NEPA responses were variable among individuals, with approximately half of participants reducing and half increasing NEPA over the 84 h after each exercise condition. Conclusion NEPA was not reduced after an acute bout of AEx or REx in a sample of inactive adults with overweight or obesity.

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Effect of physical exercise on spontaneous physical activity energy expenditure and energy intake in overweight adults (the EFECT study): a study protocol for a randomized controlled trial

Cited by 7 publications

References 46 publications

Energy Imbalance Gap, Anthropometric Measures, Lifestyle, and Sociodemographic Correlates in Latin American Adults—Results from the ELANS Study

Energy Imbalance Gap, Anthropometric Measures, Lifestyle, and Sociodemographic Correlates in Latin American Adults—Results from the ELANS Study

Randomized Controlled Trials to Treat Obesity in Military Populations: A Systematic Review and Meta-Analysis

The Effects of an Acute Bout of Aerobic or Resistance Exercise on Nonexercise Physical Activity

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