Evidence map›Paper›PMID 39484632›Full record

ArticleSSM - population health2024

Education, urbanicity of residence, and cardiometabolic biomarkers among middle-aged and older populations in the US, Mexico, China, and India.

Chihua Li, Yuan Zhang, Grace Noppert, Adina Zeki Al Hazzouri, Alden Gross, Lindsay Kobayashi

Abstract read
In one paragraph

Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Physical activity, falls, and dementia risk in adults aged ≥ 60: evidence from three cohorts.The international journal of behavioral nutrition and physical activity · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Joint associations of PMFrontiers in public health · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chihua LiInstitute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
Yuan ZhangRobert N. Butler Columbia Aging Center, Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Grace NoppertSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Adina Zeki Al HazzouriRobert N. Butler Columbia Aging Center, Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Alden GrossDepartment of Epidemiology, School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Lindsay KobayashiDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

Funding

The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
Socioeconomic, Cardiovascular, and Psychosocial Sources of Cross-National Variation in Cognitive Health Among Older AdultsR01AG070953 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alden L. Gross, Lindsay C Kobayashi · 2021 to 2026
$4.6M
Building an unbiased pooled cohort for the study of lifecourse social and vascular determinants of Alzheimer's Disease and Related DisordersR01AG072681 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GLYMOUR, MEDELLENA MARIA, ZEKI AL HAZZOURI, ADINA · 2021 to 2025
$4.0M
Immunosenescence, socioeconomic disadvantage and dementia in the US aging populationR01AG075719 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Allison E Aiello, Grace A Noppert · 2022 to 2026
$3.6M
Social Disadvantage and Its Impact on Pathogen Burden and Immune Dysfunction Across the Life CourseR00AG062749 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOPPERT, GRACE A · 2021 to 2023
$747k
A cross-national comparative study on cardiometabolic risk, education, and cognitive agingR00AG070274 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, YUAN S · 2023 to 2025
$721k
NIA NIH HHS R00 AG062749NIA NIH HHS R00 AG070274NIA NIH HHS R01 AG018016NIA NIH HHS R01 AG070953NIA NIH HHS R01 AG072681NIA NIH HHS R01 AG075719
6 · The paper itself

Abstract

Background: The relationship between education and cardiometabolic biomarkers is contextually dependent on both inter-country and intra-country factors. This study aimed to examine educational differences in cardiometabolic biomarkers among middle-aged and older adults in the US, Mexico, China, and India, and whether this relationship is modified by urbanicity of residence. Methods: Data were from contemporary cross-sectional waves of the US Health and Retirement Study (HRS; 2016/17, n = 19,608), the Mexican Health and Aging Study (MHAS; 2015, n = 12,356), the China Health and Retirement Longitudinal Study (CHARLS; 2015/16, n = 13,268), and the Longitudinal Aging Study in India (LASI; 2017/19, n = 47,838). To account for substantial variations in educational distribution across the four countries, we measured education attainment in two ways: by categorizing education levels into binary classifications ('lower education: lower secondary education or below' vs. 'higher education: upper secondary education or above') to assess absolute education attainment, and by using within-country percentile ranks to capture relative education attainment. We assessed educational differences in four cardiometabolic biomarkers: body mass index (BMI), systolic blood pressure (SBP), glycated haemoglobin (HbA1c), and total cholesterol. We tested whether urbanicity of residence modified the relationship between education and these cardiometabolic biomarkers. Results: The proportion of individuals with higher education was 82.6% in the US, 15.6% in Mexico, 10.6% in China, and 16.8% in India. In the US, higher education was associated with lower SBP (-2.74 mmHg, 95% CI: -3.62, -1.86) and HbA1c (-0.14%, 95% CI: -0.20, -0.08), but higher total cholesterol (3.33 mg/dL, 95% CI: 1.41, 5.25). In Mexico, higher education was associated with lower BMI only (-0.51 kg/m Interpretation: There is a complex relationship between education and cardiometabolic biomarkers across countries and by urbanicity of residence. This complexity underscores the importance of accounting for contextual factors when devising strategies to enhance cardiometabolic health in various settings.

Identifiers

PMID39484632
PMCPMC11525230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.