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.
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http://dx.doi.org/10.3109/17477166.2010.500387 | DOI Listing |
West Afr J Med
September 2024
Medical Microbiology & Parasitology Department, University of Ilorin, Ilorin, Nigeria. Email:
Background: Neonatal sepsis (NNS) is a known cause of morbidity and mortality especially in developing countries. The global resistance scourge may worsen the management outcomes of NNS. This study aims to determine the current profile of bacteriological agents of NNS, their resistance status and associated mortality in our setting.
View Article and Find Full Text PDFSoc Sci Med
January 2025
Department of Humanities and Social Sciences, National Institute of Technology Silchar, Silchar, 788010, Assam, India. Electronic address:
This study intends to examine how women's empowerment directly or indirectly impacts their children's well-being. Since prior research primarily focussed on the effects of maternal empowerment on specific domains of child well-being, such as healthcare or education, this study seeks to explore a more comprehensive understanding of child well-being, where child well-being is quantified using four domains, viz., physical well-being, psycho-social well-being, educational well-being and awareness of safety.
View Article and Find Full Text PDFInt J Gynaecol Obstet
January 2025
Department of Obstetrics and Gynaecology, Aga-Khan University of Hospital, Nairobi, Kenya.
Placenta accreta spectrum (PAS) poses a significant risk for maternal morbidity and mortality. There is a global rise in incidence of PAS in tandem with an increase in rates of cesarian section. Previous cesarian section and presence of placenta previa are two independent risk factors for development of PAS.
View Article and Find Full Text PDFNutrients
January 2025
Diabetes and Endocrine Service, Liverpool Hospital, Sydney, NSW 2170, Australia.
Background: The optimal application of medical nutrition therapy (MNT) in treating gestational diabetes remains uncertain. MNT involves individualised nutrition assessment and counselling, which is labour-intensive and is not the sole type of intervention offered by clinical dietitians.
Objective: To determine whether pregnancy outcomes differed for individuals with gestational diabetes who were offered MNT on a risk-prioritised (RP) versus universal basis.
Nutrients
January 2025
Health Research Institute, Faculty of Health, University of Canberra, Canberra, ACT 2617, Australia.
Introduction: Undernutrition in low- and middle-income countries (LMICs) remains a leading public health challenge. It accounts for one-third of the under-five mortality rate in sub-Saharan Africa (SSA). This study applied the composite index of anthropometric failure (CIAF) to assess the prevalence of various standalone and coexisting forms of undernutrition and identify associated risk factors.
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