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Socioeconomic disparities in trajectories of adiposity across childhood.

ABSTRACT: BACKGROUND:Socioeconomic inequalities in obesity are consistently observed in high-income countries. The development of such inequalities across childhood; however, has not been studied using longitudinal data. METHODS:Using data from the Avon Longitudinal Study of Parents and Children (participants were born 1991/2 in South-West England), we modelled trajectories of ponderal index (PI) (N=12 246) from birth to 2 years and body mass index (BMI) (N=11 380) from 2 to 10 years. Individual trajectories were estimated using mixed-effects models, and differences in trajectories by socioeconomic position (measured by maternal education) were investigated. RESULTS:There was little socioeconomic patterning of PI from birth to 2 years. Socioeconomic differences in BMI began to emerge by 4 years old, and widened with increasing age. Amongst girls there was a clear gradient across all categories of maternal education by age 8, with daughters of more educated women being less adipose. Amongst boys, sons of degree-educated women had lower BMI but there was little difference between the lower maternal education categories. By 10 years old the mean BMI difference between the highest and lowest maternal education category was 0.38 kg/m(2) for boys and 0.89 kg/m(2) for girls. The results imply that interventions to prevent inequalities in childhood obesity should begin in pre-school years.

SUBMITTER: Howe LD

PROVIDER: S-EPMC5102325 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Socioeconomic disparities in trajectories of adiposity across childhood.

Howe Laura D LD Tilling Kate K Galobardes Bruna B Smith George Davey GD Ness Andy R AR Lawlor Debbie A DA

International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity 20100922 2-2

<h4>Background</h4>Socioeconomic inequalities in obesity are consistently observed in high-income countries. The development of such inequalities across childhood; however, has not been studied using longitudinal data.<h4>Methods</h4>Using data from the Avon Longitudinal Study of Parents and Children (participants were born 1991/2 in South-West England), we modelled trajectories of ponderal index (PI) (N=12 246) from birth to 2 years and body mass index (BMI) (N=11 380) from 2 to 10 years. Indiv ...[more]

PMID: 20860432

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Project description:ObjectiveTo examine associations of parental socioeconomic position with early-life offspring body mass index (BMI) trajectories in a middle-income country.SubjectsOverall, 12,385 Belarusian children born 1996-97 and enrolled in a randomised breastfeeding promotion trial at birth, with 3-14 measurements of BMI from birth to 7 years.MethodsCohort analysis in which exposures were parental education (common secondary or less; advanced secondary or partial university; completed university) and occupation (manual; non-manual) at birth, and the outcome was BMI z-score trajectories estimated using multilevel linear spline models, controlling for trial arm, location, parental BMI, maternal smoking status and number of older siblings.ResultsInfants born to university-educated mothers were heavier at birth than those born to secondary school-educated mothers [by 0.13 BMI z-score units (95% confidence interval, CI: 0.07, 0.19) for girls and 0.11 (95% CI: 0.05, 0.17) for boys; equivalent for an infant of average birth length to 43 and 38 g, respectively]. Between the ages of 3-7 years children of the most educated mothers had larger BMI increases than children of the least educated mothers. At age 7 years, after controlling for trial arm and location, children of university-educated mothers had higher BMIs than those born to secondary school-educated mothers by 0.11 z-score (95% CI: 0.03, 0.19) among girls and 0.18 (95% CI: 0.1, 0.27) among boys, equivalent to differences in BMI for a child of average height of 0.19 and 0.26 kg/m2, respectively. After further controlling for parental BMI, these differences attenuated to 0.08 z-score (95% CI: 0, 0.16) and 0.16 z-score (95% CI: 0.07, 0.24), respectively, but changed very little after additional adjustment for number of older siblings and mother's smoking status. Associations were similar when based on paternal educational attainment and highest household occupation.ConclusionsIn Belarus, consistent with some middle-income countries, higher socioeconomic position was associated with greater BMI trajectories from age 3 onwards.

Project description:IntroductionMultimorbidity, the presence of multiple chronic health conditions, generally starts in middle and older age but there is considerable heterogeneity in the trajectory of morbidity accumulation. This study aimed to clarify the number of distinct trajectories and the potential associations between race/ethnicity and socioeconomic status and these trajectories.MethodsData from 13,699 respondents (age ≥51) in the Health and Retirement Study between 1998 and 2016 were analyzed with growth mixture models. Nine prevalent self-reported morbidities (arthritis, cancer, cognitive impairment, depressive symptoms, diabetes, heart disease, hypertension, lung disease, stroke) were summed for the morbidity count.ResultsThree trajectories of morbidity accumulation were identified: low [starting with few morbidities and accumulating them slowly (i.e., low intercept and low slope); 80% of sample], increasing (i.e., low intercept and high slope; 9%), and high (i.e., high intercept and low slope; 11%). Compared to non-Hispanic (NH) White adults in covariate-adjusted models, NH Black adults had disadvantages while Hispanic adults had advantages. Our results suggest a protective effect of education for NH Black adults (i.e., racial health disparities observed at low education were ameliorated and then eliminated at increasing levels of education) and a reverse pattern for Hispanic adults (i.e., increasing levels of education was found to dampen the advantages Hispanic adults had at low education). Compared with NH White adults, higher levels of wealth were protective for both NH Black adults (i.e., reducing or reversing racial health disparities observed at low wealth) and Hispanic adults (i.e., increasing the initial health advantages observed at low wealth).ConclusionThese findings have implications for addressing health disparities through more precise targeting of public health interventions. This work highlights the imperative to address socioeconomic inequalities that interact with race/ethnicity in complex ways to erode health.

Project description:This is a retrospective cross-sectional study examining the association between unemployment, cancer type, treatment and total body fat percentage of childhood cancer survivors recruited at St. Anne's University Hospital in Brno, Czech Republic. A total of 55 survivors aged 18-49 who were in remission of cancer and fulfilled the criteria for body composition measurements by the BIA and completed questionnaires investigating their socioeconomic status, employment status, and history. There was a significant relationship between the employment status and central nervous system-directed treatment (c2(1) = 7.53, p = 0.006, Cramér's V = 0.38) and between the type of cancer and employment status (c2(3) = 7.83, p = 0.049, Cramér's V = 0.38), the highest unemployment rate was recorded for brain and spine survivors (72.7%) compared to survivors with other diagnosis (35.7%) (uLR(1) = 4.91, p = 0.027; OR = 4.80, 95% CI:1.10-20.86, p = 0.036); these survivors did not have a significantly different body fat percentage compared to survivors with other diagnoses (t(53) = 1.29, p = 0.202, Cohen's d = 0.41) Interestingly, the survivors reporting having a partner also had a significantly higher percentage of body fat (t(53) = 2.90, p = 0.005, Cohen's d = 0.81). A linear regression model was used to model the percentage of body fat in relation to a set of selected variables and the we observed a significant effect of sex (female vs male: b = 6.37, 95% CI: 1.82-10.93, p = 0.007), partnership status (yes vs no: b = 5.65, 95% CI: 0.67-10.62, p = 0.027) and category of diagnosis (Brain and spinal column tumors vs Other solid tumors: b = 12.40, 95% CI: 0.59-24.21, p = 0.040; Brain and spinal column tumors vs Lymphoma: b = 14.02, 95% CI: 2.06-25.97, p = 0.023). Employment status and risk of adiposity in childhood cancer survivors depends on the type of treatment and diagnosis group, which may significantly impact their lifestyle and overall quality of life after treatment. Trial registration: This study was registered on July 29, 2022, at ClinicalTrials.gov (NCT05481229).

Project description:Background/aimAdiposity trajectories reflect dynamic process of growth and may predict later life health better than individual measures. Prenatal phthalate exposures may program later childhood adiposity, but findings from studies examining these associations are conflicting. We investigated associations between phthalate biomarker concentrations during pregnancy with child adiposity trajectories.MethodsWe followed 514 mother-child pairs from the Mexico City PROGRESS cohort from pregnancy through twelve years. We measured concentrations of nine phthalate biomarkers in 2nd and 3rd trimester maternal urine samples to create a pregnancy average using the geometric mean. We measured child BMI z-score, fat mass index (FMI), and waist-to-height ratio (WHtR) at three study visits between four and 12 years of age. We identified adiposity trajectories using multivariate latent class growth modeling, considering BMI z-score, FMI, and WHtR as joint indicators of latent adiposity. We estimated associations of phthalates biomarkers with class membership using multinomial logistic regression. We used quantile g-computation to estimate the potential effect of the total phthalate mixture and assessed effect modification by sex.ResultsWe identified three trajectories of child adiposity, a "low-stable", a "low-high", and a "high-high" group. A doubling of the sum of di (2-ethylhexyl) phthalate metabolites (ΣDEHP), was associated with 1.53 (1.08, 2.19) greater odds of being in the "high-high" trajectory in comparison to the "low-stable" group, whereas a doubling in di-isononyl phthalate metabolites (ΣDiNP) was associated with 1.43 (1.02, 2.02) greater odds of being in the "low-high" trajectory and mono (carboxy-isononyl) phthalate (MCNP) was associated with 0.66 (0.45, 97) lower odds of being in the "low-high" trajectory. No sex-specific associations or mixture associations were observed.ConclusionsPrenatal concentrations of urinary DEHP metabolites, DiNP metabolites, and MCNP, a di-isodecyl phthalate metabolite, were associated with trajectories of child adiposity. The total phthalate mixture was not associated with early life child adiposity.

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Socioeconomic disparities in trajectories of adiposity across childhood.

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Socioeconomic disparities in trajectories of adiposity across childhood.

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