Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Nutr Diabetes ; 3: e60, 2013 Feb 04.
Article in English | MEDLINE | ID: mdl-23381665

ABSTRACT

OBJECTIVE: Standard approaches have found that rapid growth during the first 2 years of life is a risk factor for overweight in later childhood. Our objective was to test whether growth velocity, independent of concurrent size, was associated with overweight using a nonlinear random-effects model that allows for enhanced specifications and estimations. METHODS: Longitudinal data from a birth cohort in Mexico (n=586) were used to estimate growth trajectories over 0-24 months for body mass index (BMI), length and weight using the SuperImposition by Translation and Rotation (SITAR) models. The SITAR models use a nonlinear random-effects model to estimate an average growth curve for BMI, length and weight and each participant's deviation from this curve on three dimensions-size, velocity and timing of peak velocity. We used logistic regression to estimate the association between overweight status at 7-9 years and size, velocity and timing of BMI, length and weight trajectories during 0-24 months. We tested whether any association between velocity and overweight varied by relative size during 0-24 months or birth weight. RESULTS: SITAR models explained the majority of the variance in BMI (73%), height (86%) and weight (85%) between 0-24 months. When analyzed individually, relative BMI/length/weight (size) and BMI/length/weight velocity during 0-24 months were each associated with increased odds of overweight in late childhood. Associations for timing of peak velocity varied by anthropometric measure. However, in the mutually adjusted models, only relative BMI/length/weight (size) remained statistically significant. We found no evidence that any association between velocity and overweight varied by size during 0-24 months or birth weight. CONCLUSIONS: After mutual adjustment, size during 0-24 months of life (as opposed to birth size), but not velocity or timing of peak velocity, was most consistently associated with overweight in later childhood.

2.
Int J Obes (Lond) ; 36(8): 1114-20, 2012 Aug.
Article in English | MEDLINE | ID: mdl-21912397

ABSTRACT

BACKGROUND: Overweight prevalence has increased globally; however, current time trends of overweight prevalence by social class in lower income countries have not been fully explored. METHODS: We used repeated cross-sectional, nationally representative data from the Demographic and Health Surveys on women aged 18-49 years with young children (n=421,689) in 39 lower-income countries. We present overweight (body mass index ≥ 25 kg m⁻²) prevalence at each survey wave, prevalence difference and prevalence growth rate for each country over time, separately by wealth quintile and educational attainment. We present the correlation between nation wealth and differential overweight prevalence growth by wealth and education. RESULTS: In the majority of countries, the highest wealth and education groups still have the highest prevalence of overweight and obesity. However, in a substantial number of countries (14% when wealth is used as the indicator of socioeconomic status and 28% for education) the estimated increases in overweight prevalence over time have been greater in the lowest- compared with the highest-wealth and -education groups. Gross domestic product per capita was associated with a higher overweight prevalence growth rate for the lowest-wealth group compared with the highest (Pearson's correlation coefficient: 0.45). CONCLUSIONS: Higher (vs lower) wealth and education groups had higher overweight prevalence across most developing countries. However, some countries show a faster growth rate in overweight in the lowest- (vs highest-) wealth and -education groups, which is indicative of an increasing burden of overweight among lower wealth and education groups in the lower-income countries.


Subject(s)
Developing Countries/statistics & numerical data , Overweight/epidemiology , Adolescent , Adult , Body Mass Index , Chronic Disease , Cross-Sectional Studies , Developing Countries/economics , Educational Status , Female , Health Status Disparities , Humans , Male , Middle Aged , Overweight/economics , Poverty , Prevalence , Social Class , Socioeconomic Factors , Time Factors , Young Adult
3.
Int J Obes (Lond) ; 36(6): 866-75, 2012 Jun.
Article in English | MEDLINE | ID: mdl-21730966

ABSTRACT

OBJECTIVE: To test whether a disparity in overweight by socioeconomic status (SES; represented by educational attainment) has emerged among men or women during a recent 17-year period in China. METHODS: Data from the China Health and Nutrition Survey (CHNS), a panel study including 7314 women and 6492 men, are used to longitudinally track the body mass index (BMI) and odds of overweight by educational attainment among Chinese adults (baseline age 18-50) from 1989 to 2006 to determine whether individuals of low (secondary school) educational attainment experienced a disproportionately faster increase in BMI or odds of overweight (BMI≥25) over time. The unadjusted mean BMI and prevalence of overweight by education are presented. Sex-stratified, random-effects models are used to estimate the associations, and interactions by birth cohort are included. FINDINGS: Overweight prevalence doubled for women and tripled for men. In 1989, among women, the odds of overweight were not different for those of high versus those of low educational attainment; however, by 2006, the odds of overweight were significantly lower for those with the highest education in both the younger (odds ratio (OR) 0.22 (CI 0.11, 0.42)) and the older (OR 0.27 (CI 0.10, 0.72)) birth cohorts. The reverse trend is seen for men, who also begin with no difference in odds of overweight by SES, but by 2006, the OR for the highest versus the lowest education group was 3.4 (CI 1.82, 6.18). CONCLUSIONS: Over 17 years, low SES has become associated with higher BMI and odds of overweight among Chinese women, whereas high SES remains a risk factor for overweight among Chinese men.


Subject(s)
Asian People/statistics & numerical data , Body Mass Index , Health Status Disparities , Overweight/epidemiology , Overweight/etiology , Smoking/epidemiology , Adolescent , Adult , China/epidemiology , Cohort Studies , Educational Status , Female , Health Behavior , Health Knowledge, Attitudes, Practice , Humans , Longitudinal Studies , Male , Middle Aged , Odds Ratio , Prevalence , Risk Factors , Sex Distribution , Social Class , Young Adult
SELECTION OF CITATIONS
SEARCH DETAIL
...