Modifications in food-group consumption are related to long-term body-weight changes

Drapeau, Vicky; Després, Jean‐Pierre; Bouchard, Claude; Allard, Lucie; Fournier, Geneviève; Leblanc, Claude; Tremblay, Angelo

doi:10.1093/ajcn/80.1.29

Cited by 140 publications

(142 citation statements)

References 23 publications

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“…The findings of this study are consistent with other studies 10,11,24 that provide Brasil, 2004Brasil, /2005 evidence that fatty foods consumption is related to longitudinal changes in body fatness. It is possible that the effect of fatty foods on the BMI z-score gain is due to their high energy density, associated with low nutrient contents.…”

Section: Discussionsupporting

confidence: 91%

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Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents*

Enes

Slater

2013

Rev. bras. epidemiol.

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Objective: To assess whether changes in dietary intake and physical activity pattern are associated with the annual body mass index (BMI) z-score change among adolescents. Methods: The study was conducted in public schools in the city of Piracicaba, Sao Paulo, Brazil, with a probabilistic sample of 431 adolescents participating in wave I (2004) (hereafter, baseline) and 299 in wave II (2005) (hereafter, follow-up). BMI, usual food intake, physical activity, screen time, sexual maturation and demographic variables were assessed twice. The association between annual change in food intake, physical activity, screen time, and annual BMI z-score changes were assessed by multiple regression. Results: The study showed a positive variation in BMI z-score over one--year. Among variables related to physical activity pattern only playing videogame and using computer increased over the year. The intake of fruits and vegetables and sugar-sweetened beverages increased over one year, while the others variables showed a reduction. An increased consumption of fatty foods (β = 0.04, p = 0.04) and sweetened natural fruit juices (β = 0.05, p = 0.03) was positively associated with the rise in BMI z-score. Conclusions: Unhealthy dietary habits can predict the BMI z-score gain more than the physical activity pattern. The intake of fatty foods and sweetened fruit juices is associated with the BMI z-score over one year. O estudo mostrou uma variação positiva no escore-z do IMC ao longo de um ano. Entre as variáveis relacionadas ao padrão de atividade física apenas jogar videogame e usar o computador apresentou aumento ao longo do ano. A ingestão de frutas e legumes e de bebidas artificiais adoçadas aumentou ao longo de um ano e as demais variáveis apresentaram uma redução. Observou-se que o aumento do consumo de alimentos ricos em gordura (β = 0,04, p = 0,04) e de suco natural adoçado (β = 0,05, p = 0,03) associou-se positivamente ao aumento do escore-z do IMC. Conclusão: Hábitos alimentares não saudáveis predizem mais o aumento do escore-z do IMC do que o padrão de atividade física. A ingestão de alimentos ricos em gordura e de suco naturais adoçado associou-se positivamente ao escore-z do IMC ao longo de 1 ano.Palavras-chave: Adolescente. Índice de massa corporal. Estudos longitudinais. Atividade motora. Hábitos alimentares.

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Section: Discussionsupporting

confidence: 91%

“…The dietary patterns characterized by high intake of sugar and fats and low intake of fruits and vegetables are positively associated with weight gain in this group [10][11][12] . Hence, this study assessed whether changes in dietary intake, physical activity and screen time produce nutritional status changes among adolescents.…”

Section: Introductionmentioning

confidence: 99%

Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents*

Enes

Slater

2013

Rev. bras. epidemiol.

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“…Increased milk or dairy consumption has been linked to both weight loss 43 and weight gain. 44 Increased consumption of sweets 44 or sugar-sweetened beverages 45 has also been linked to weight gain in women.…”

Section: Discussionmentioning

confidence: 99%

Maternal diet in early and late pregnancy in relation to weight gain

et al. 2005

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Objective: To identify dietary factors related to the risk of gaining weight outside recommendations for pregnancy weight gain and birth outcome. Design: An observational study with free-living conditions. Subjects: Four hundred and ninety five healthy pregnant Icelandic women. Methods: The dietary intake of the women was estimated with a semiquantitative food frequency questionnaire covering food intake together with lifestyle factors for the previous 3 months. Questionnaires were filled out at between 11 and 15 weeks and between 34 and 37 weeks gestation. Comparison of birth outcome between the three weight gain groups was made with ANOVA and Bonferroni post hoc tests. Dietary factors related to at least optimal and excessive weight gain during pregnancy were represented with logistic regression controlling for potential confounding. Results: Of the women, 26% gained suboptimal and 34% excessive weight during pregnancy. Women in late pregnancy with at least optimal, compared with women with suboptimal, weight gain were eating more (OR ¼ 3.32, confidence interval (CI) ¼ 1.81-6.09, Po0.001) and drinking more milk (OR ¼ 3.10, CI ¼ 1.57-6.13, P ¼ 0.001). The same dietary factors were related to excessive, compared with optimal, weight gain. Furthermore, eating more sweets early in pregnancy increased the risk of gaining excessive weight (OR ¼ 2.52, CI ¼ 1.10-5.77, P ¼ 0.029). Women with a body mass index of 25.0-29.9 kg/m 2 before pregnancy were most likely to gain excessive weight (OR ¼ 7.37, CI 4.13-13.14, Po0.001). Women gaining suboptimal weight gave birth to lighter children (Po0.001) and had shorter gestation (P ¼ 0.008) than women gaining optimal or excessive weight. Conclusion: Women who are overweight before pregnancy should get special attention regarding lifestyle modifications affecting consequent weight gain during pregnancy. They are most likely to gain excessive weight and therefore most likely to suffer pregnancy and delivery complications and struggle with increasing overweight and obesity after giving birth.

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“…23 Others have reported both a decreased and increased risk of incident obesity depending on the type of dairy intake. 15,24 Owing to the heterogeneity of cohort studies, as well as inconsistent exposure and outcome measures, no meta-analysis has been done on their findings.…”

Section: Introductionmentioning

confidence: 99%

Effect of dairy consumption on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials

et al. 2012

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BACKGROUND: Although several observational and experimental studies have investigated the effect of dairy consumption on weight and body composition, results are inconsistent. OBJECTIVE: This systematic review and meta-analysis was conducted to summarize the published evidence from randomized controlled clinical trials (RCTs) regarding the effect of dairy consumption on weight, body fat mass, lean mass and waist circumference (WC) in adults. DESIGN: PubMed, ISI Web of Science, SCOPUS, Science Direct and EMBASE were searched from January 1960 to October 2011 for relevant English and non-English publications. Sixteen studies were selected for the systematic review and fourteen studies were included in meta-analysis. RESULTS: Our search led to 14, 12, 6 and 8 eligible RCTs that had data on weight, body fat mass, lean mass and WC, respectively. Overall, mean difference for the effect of dairy on body weight was À0.61 kg (95% confidence interval (CI): À1.29, 0.07, P ¼ 0.08). Increased dairy intake resulted in 0.72 kg (95% CI: À1.29, À0.14, P ¼ 0.01) greater reduction in fat mass, 0.58 kg (95% CI: 0.18, 0.99, Po0.01) gain in lean mass and 2.19 cm (95% CI: À3.42, À0.96, P-value o0.001) further reduction in WC than that in controls. Subgroup analysis revealed that increasing dairy intake without energy restriction in both intervention and control groups does not significantly affect weight, body fat mass, lean mass and WC; consumption of high-dairy weight loss diets led to 1.29 kg (95% CI: À1.98, À0.6, Po0.001) greater weight loss, 1.11 kg (95% CI: À1.75, À0.47, P ¼ 0.001) greater reduction in body fat mass, 0.72 kg (95% CI: 0.12, 1.32, P ¼ 0.02) gain in body lean mass and 2.43 cm (95% CI: À3.42, À1.44, Po0.001) additional reduction in WC compared with controls. CONCLUSION: Increased dairy consumption without energy restriction might not lead to a significant change in weight or body composition; whereas inclusion of dairy products in energy-restricted weight loss diets significantly affects weight, body fat mass, lean mass and WC compared with that in the usual weight loss diets.

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Modifications in food-group consumption are related to long-term body-weight changes

Abstract: These results show that changes in the consumption of some specific food groups are associated with body-weight changes. Such specific eating patterns could help to improve obesity treatment and prevention.

Cited by 140 publications

References 23 publications

Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents*

Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents*

Maternal diet in early and late pregnancy in relation to weight gain

Effect of dairy consumption on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials

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