Growth in Childhood and Cardiovascular Health in Young Adulthood in Four Low- and Middle- Income Countries: Findings from the COHORTS Consortium
Qabazard, S. J.; Ware, L. J.; Horta, B.; Lima, N. P.; Kroker-Lobos, M. F.; Ramirez-Zea, M.; Carba, D. B.; Bas, I.; Borja, J.; Adair, L. S.; Lee, N.; Perez, T. L.; Richter, L. M.; Norris, S. A.; Flood, D.; Labarthe, D. R.; Stein, A.
Show abstract
Background: Early-life growth is associated with individual cardiometabolic risk factors, but its relationship with overall cardiovascular health (CVH) in low- and middle-income countries (LMICs) is unclear. We examined associations of maternal, household, and child growth factors with young-adult CVH across four LMIC birth cohorts. Methods: We analyzed harmonized data from the Consortium of Health-Oriented Research in Transitioning Societies (COHORTS), including 4,582 participants ages 18-30 years from Brazil, Guatemala, the Philippines, and South Africa. CHV was assessed using a modified American Heart Association Life's Simple 7 score based on body mass index (BMI), blood pressure (BP), fasting blood glucose (FBG), and smoking. Site-specific multivariable ordinal logistic regression models evaluated associations between early-life factors and CVH. Results: Men had poorer CVH than women across most sites, largely because of less favorable BP and smoking profiles. Higher birthweight was associated with lower odds of better CVH in Brazil (AOR=0.81; 95% CI: 0.71-0.94) and the Philippines (AOR=0.63; 95% CI: 0.45-0.87). Greater conditional relative weight at 2 years was also inversely associated with CVH in both sites. Birthweight, conditional height and conditional relative weight at 2 years were strongly associated with adult BMI, whereas associations with BP and FBG were weaker. Attained schooling was associated with CVH in Brazil (AOR = 1.13 per year; 95% CI: 1.10-1.16), and the Philippines (AOR = 1.17; 95% CI: 1.10-1.24). Conclusions: Early-life growth patterns and educational attainment are associated with cardiovascular health in young adulthood across diverse LMIC settings, supporting life-course strategies to promote cardiovascular health.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Prevalence of Cardiovascular-Kidney-Metabolic Stages in US Adolescents and Relationship to Social Determinants of Health 92%
- The role of the metabolic profile in mediating the relationship between body mass index and left ventricular mass in adolescents: analysis of a prospective cohort study 92%
- State-level structural racism and incident coronary heart disease 92%
Similar papers in this journal
- Socioeconomic Differentials in Hypertension based on JNC7 and ACC/AHA 2017 Guidelines Mediated by Body Mass Index: Evidence from Nepal Demographic and Health Survey 92%
- Prevalence of cardiometabolic risk factors according to urbanization level, gender and age, in apparently healthy adults living in Gabon, Central Africa 92%
- Study Protocol for the Health Outcomes in Pregnancy and Early Childhood (HOPE) Study: A Mother-Infant Study in American Samoa 91%
Similar papers in this journal
- Social support and ideal cardiovascular health in urban Jamaica: a cross-sectional study 92%
- Persistent high mortality rates for Diabetes Mellitus and Hypertension after excluding deaths associated with COVID-19 in Brazil, 2020-2022 92%
- Association between physical multimorbidity and common mental health disorders in rural and urban Malawian settings: preliminary findings from Healthy Lives Malawi long-term conditions survey 90%
Similar papers in this journal
- Prevalence Of Abdominal Obesity And Its Association With Cardiovascular Risk Among The Adult Population In Burkina Faso 92%
- Heritability of cardiovascular health across three generations in South Africa: the Birth to Twenty-Plus cohort 92%
- The intersectional role of paternal gender-equitable attitudes and maternal empowerment on child undernutrition in India 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.