Dataset Information

Longitudinal association between food frequency and changes in body mass index: a prospective cohort study.

ABSTRACT: OBJECTIVES:Analysing data of the Young Lives Study in Peru, we aimed at assessing the association between daily food frequency and body mass index (BMI) changes between 2006 and 2016. DESIGN:Secondary analysis of a prospective ongoing cohort study. SETTING:20 sentinel sites in Peru. PARTICIPANTS:Children enrolled in the younger cohort of the Young Lives Study. We used information from the second (2006-2007), third (2009-2010), fourth (2013-2014) and fifth (2016-2017) rounds of the younger cohort in Peru. PRIMARY AND SECONDARY OUTCOMES:BMI as well as BMI-for-age z-score, both as numerical variables. RESULTS:Data from 1948 children, mean age 4.3 (SD: 0.3) years and 966 (49.6%) women were included at baseline. In multivariable model, lower food consumption frequency was associated with increased BMI and BMI-for-age z-scores: children reporting <4 times of food consumption per day had a greater increase in BMI (?=0.39; 95%?CI 0.17 to 0.62) and BMI-for-age z-score (?=0.07; 95%?CI 0.01 to 0.13) compared with those reporting 5 per day. Results were consistent for those reporting exactly eating 4 times per day (? for BMI=0.16; 95%?CI 0.02 to 0.30 and ? for BMI-for-age z-score=0.05; 95%?CI 0.01 to 0.09). CONCLUSIONS:Children who eat <5 times per day, gain more BMI compared with those who eat ?5 times. Parents should receive information to secure adequate nutrition for their children, both in terms of quality and quantity.

SUBMITTER: Bernabe-Ortiz A

PROVIDER: S-EPMC7473622 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Longitudinal association between food frequency and changes in body mass index: a prospective cohort study.

Bernabe-Ortiz Antonio A Carrillo-Larco Rodrigo M RM

BMJ open 20200903 9

<h4>Objectives</h4>Analysing data of the Young Lives Study in Peru, we aimed at assessing the association between daily food frequency and body mass index (BMI) changes between 2006 and 2016.<h4>Design</h4>Secondary analysis of a prospective ongoing cohort study.<h4>Setting</h4>20 sentinel sites in Peru.<h4>Participants</h4>Children enrolled in the younger cohort of the Young Lives Study. We used information from the second (2006-2007), third (2009-2010), fourth (2013-2014) and fifth (2016-2017) ...[more]

PMID: 32883727

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Project description:BACKGROUND:Prospective data are sparse for active commuting to work and body weight in Asia. We assessed the association of 5-year changes in commuting mode with body mass index (BMI) and the indicators of abdominal obesity in Japanese working adults. METHODS:In this longitudinal study, we studied 29,758 participants (25,808 men and 3950 women) in Japan aged 30 to 64?years at baseline who underwent further health examination 5?years after the baseline examination. Changes in BMI were calculated from objectively measured body height and weight at baseline and follow-up examination. Visceral and subcutaneous fat areas and waist circumference measured by computed tomography scans were used as indicators for abdominal adiposity. Linear regression was applied to estimate the association of changes in commuting mode with the obesity outcomes. RESULTS:Within the 5-year study period, adults who maintained inactive commuting gained weight, and compared with this group, adults who switched to inactive commuting had higher weight gain; conversely, adults who switched to active or public transportation commuting and especially those who maintained active or public transportation commuting experienced less weight gain. Subgroup analysis showed similar tendency across the different transitions of leisure-time exercise or occupational physical activity. For example, among adults who maintained no exercise (n?=?16,087), the adjusted mean (95% confidence intervals) of the BMI change over 5?years in kg/m2 were 0.27 (0.24 to 0.30) for maintained inactive commuting group (reference), 0.34 (0.30 to 0.38) for switching to inactive commuting group (P?=?0.046), 0.20 (0.18 to 0.22) for switching to active commuting or public transportation group (P?=?0.001), and 0.09 (0.06 to 0.13) for maintained active commuting or public transportation group (P?<?0.001). Maintained inactive commuting tended to be associated with larger gain in abdominal adiposity indicators. CONCLUSION:Switching from inactive commuting mode to more physically active commuting mode and maintaining active commuting can promote body weight control among working adults across different levels of occupational or leisure-time physical activity.

Project description:BackgroundObesity is rapidly increasing in Mexican children and adolescents, while food environments are rapidly changing. We evaluated the association between changes in retail food stores and change in body mass index (BMI) in Mexican children and adolescents.MethodsData on 7507 participants aged 5-19 years old came from the Mexican Family Life Survey 2002-2012. Density of food stores at the municipal-level (number of food stores/area in km2) came from the Economic Censuses of 1999, 2004 and 2009. We categorized food stores as small food retail (small neighborhood stores, tiendas de abarrotes in Mexico), specialty foods, fruit/vegetables, convenience foods, and supermarkets. Associations between change in food stores and change in BMI were estimated using five longitudinal linear fixed-effects regression models (one per type of food store) adjusted for age, parental education, municipal-level socioeconomic deprivation and population density. Density of each food store type was operationalized as quartiles. Analyses were stratified by urbanization.ResultsThere was an inverse dose-response association between increases in fruit/vegetable store density and BMI (β = -0.455 kg/m2, β = -0.733 kg/m2, and β = -0.838 kg/m2 in the second, third, and fourth quartile). In non-urban areas, children living in municipalities with the highest density of small food retail stores experienced a reduction in BMI (β = -0.840 kg/m2). In urban areas, there was an inverse association between specialty food stores with BMI (β = -0.789 kg/m2 in third quartile, and β = -1.204 kg/m2 in fourth quartile). We observed dynamic associations with age; results suggested stronger associations in adolescents.ConclusionsThe availability of fruit/vegetable stores may influence a reduction in children and adolescents BMI. These results indicate that policy approaches could be tailored by type of food store - with some consideration for level of urbanization and children's age.

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Longitudinal association between food frequency and changes in body mass index: a prospective cohort study.

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Longitudinal association between food frequency and changes in body mass index: a prospective cohort study.

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