Educational differences in adult body mass index: age–period–cohort analysis using cohort data from 2000 to 2022.

Lower socioeconomic position is linked to higher body mass index (BMI) across the life course, but the contributions of age, period, and cohort in this association are less understood. This study examined age, period, and cohort effects on educational differences in BMI over a 22-year follow-up. We...

Full description

Bibliographic Details
Published in:European Journal of Public Health Vol. 36; no. 1; pp. 169 - 177
Main Authors: Valkonen, Jatta, Valkonen, Lauri, Lallukka, Tea
Format: research tables/charts Journal Article
Published: Oxford University Press / USA Feb2026
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191655773&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 191655773
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        11011262
        BHW
      jtl: European Journal of Public Health
      issn: 11011262
      maglogo: N
    pubinfo:
      dt: Feb2026
      vid: 36
      iid: 1
      pid: 622
      pub: Oxford University Press / USA
    artinfo:
      ui:
        191655773
        191655773
        191655773
        10.1093/eurpub/ckaf157
        191655773
      ppf: 169
      ppct: 8
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Educational differences in adult body mass index: age–period–cohort analysis using cohort data from 2000 to 2022.
      aug:
        au:
          Valkonen, Jatta
          Valkonen, Lauri
          Lallukka, Tea
        affil: Department of Public Health, University of Helsinki, Helsinki, Finland
      sug:
        subj:
          Educational Status Finland
          Body Mass Index In Adulthood
          Health Status Disparities
          Social Determinants of Health
          Weight Gain In Adulthood
          Obesity In Adulthood
          Socioeconomic Factors
          Human
          Age Factors
          Prospective Studies
          Surveys
          Male
          Female
          Repeated Measures
          Secondary Analysis
          Finland
          Data Analysis Software
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Funding Source
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Lower socioeconomic position is linked to higher body mass index (BMI) across the life course, but the contributions of age, period, and cohort in this association are less understood. This study examined age, period, and cohort effects on educational differences in BMI over a 22-year follow-up. We used repeated Helsinki Health Study survey data from 2000 to 2022. In Phase 1 (2000–02 for the 'ageing cohort', aged 40–60, n =  8960; and 2017 for the 'employee cohort', aged 19–39, n =  5898), all participants were employees of the City of Helsinki, Finland. We calculated participants' BMI from their self-reported height and weight in each period and divided participants' educational attainment into high and low. The final sample comprised 11 636 women and 3037 men. We used generalised additive mixed models for the age–period–cohort analyses. Educational differences in BMI mostly widened until late midlife and then stabilised. Younger participants and more recent cohorts had the steepest increases in BMI over periods, and their educational differences moderately narrowed. However, BMI increased in all cohorts, educational groups, and both genders over periods. Although the educational differences in BMI were clear among earlier cohorts, the overall patterns in their BMI trajectories were highly similar between the educational groups. Since age, period, and cohort each affected the development of educational differences in BMI over time, they should be considered when estimating future trends in socioeconomic inequalities in BMI and when planning policy actions to tackle these inequalities.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N