Evidence map›Paper›PMID 40659849›Full record

ArticleInternational journal of obesity (2005)2025

Association of socioeconomic status with BMI differs by sex and position on BMI distribution among participants in the Cebu Longitudinal Health and Nutrition Survey (CLHNS).

Romaniya S Voloshchuk, Nanette R Lee, Delia B Carba, Linda S Adair

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Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Romaniya S VoloshchukUNC Chapel Hill, Department of Nutrition, Chapel Hill, NC, USA. rvolosh@unc.edu.ORCID 0000-0002-8131-5965
Nanette R LeeUniversity of San Carlos, USC-Office of Population Studies Foundation, Inc., University of San Carlos-TC Talamban, Cebu City, Philippines.
Delia B CarbaUniversity of San Carlos, USC-Office of Population Studies Foundation, Inc., University of San Carlos-TC Talamban, Cebu City, Philippines.
Linda S AdairUNC Chapel Hill, Carolina Population Center, Chapel Hill, NC, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Global Cardiometabolic Disease TrainingT32HL129969 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S · 2016 to 2025
$2.1M
Obesity development and CVD risk factor--Filipino womenR01HL085144 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S · 2006 to 2009
$1.9M
NHLBI NIH HHS R01 HL085144NHLBI NIH HHS T32 HL129969NICHD NIH HHS P2C HD050924NICHD NIH HHS R01HD054501-03
6 · The paper itself

Abstract

objectiveTo assess the association of variables representing the nutrition transition with BMI among young adults in a dynamic urbanising area in the Philippines; to test whether the roles of these variables were constant across the BMI distribution; and whether these patterns differed by sex.

methodsData from the Cebu Longitudinal Health and Nutrition Survey rounds in 2002 (n = 1940), 2005 (n = 1802), 2009 (n = 1621), and 2018 (n = 1267) were used to assess BMI among young adults (ages 21-35 years). Main exposures included socioeconomic status (SES) represented by a lagged household asset index and urbanicity, and current education level. Models were stratified by sex and adjusted for employment status and parity in females. Quantile regression was used to examine the relationship between these variables and BMI.

resultsHousehold asset index was highly correlated with male BMI, its coefficient increasing from 2005 to 2018 and differing between quantiles; its association with female BMI was only positive among parous women whose BMI was at 0.50 and 0.75 quantiles in 2005. We found no associations between urbanicity and BMI in males, but negative and positive associations at 0.25 and 0.75 quantiles in females in 2018, respectively. College education was negatively associated with BMI in females, with larger effect sizes at 0.75 quantile, but positively in males at 0.25 and 0.50 quantiles in 2018.

conclusionAssociations of SES-related variables with BMI vary along BMI distribution and differ among male and female young adults in Cebu, Philippines. Males exhibit a pattern more characteristic of lower- or middle-income country (LMIC) settings than females, whose trends are more akin to those observed in high-income countries (HICs). Results will inform a more detailed inquiry into more proximal factors determining BMI.

Indexed as

Body Mass IndexSocial ClassAdultFemaleHumansLongitudinal StudiesMaleNutrition SurveysPhilippinesSex FactorsYoung Adult

Identifiers

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.