Causal Relationship Between Physical Activity and Body Weight: A Maximum Likelihood Treatment Effect Model Approach Using Australian Longitudinal Data.

Background: More than two-thirds of Australians are overweight. Existing research based on non-experimental data has primarily established associations, rather than causal inferences, between physical activity (PA) and body mass index (BMI). PA and BMI likely affect each other, a reciprocal interpla...

Descripción completa

Detalles Bibliográficos
Publicado en:International Journal of Behavioral Medicine Vol. 33; no. 1; pp. 113 - 128
Autores principales: Doan, Tinh, Leach, Liana, Doan, Nhan, Strazdins, Lyndall
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Feb2026
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191886261&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 191886261
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10705503
        7M2
      jtl: International Journal of Behavioral Medicine
      issn: 10705503
      maglogo: N
    pubinfo:
      dt: Feb2026
      vid: 33
      iid: 1
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        191886261
        180984266
        191886261
        191886261
        10.1007/s12529-024-10336-9
        191886261
      ppf: 113
      ppct: 15
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Causal Relationship Between Physical Activity and Body Weight: A Maximum Likelihood Treatment Effect Model Approach Using Australian Longitudinal Data.
      aug:
        au:
          Doan, Tinh
          Leach, Liana
          Doan, Nhan
          Strazdins, Lyndall
        affil: https://ror.org/019wvm592 College of Health and Medicine, The Australian National University, 2601, Canberra, ACT, Australia
      sug:
        subj:
          Obesity Risk Factors
          Physical Activity
          Body Weight
          Body Mass Index
          Risk Assessment
          Human
          Funding Source
          Australia
          Male
          Female
          Adolescence
          Adult
          Middle Age
          Causal Attribution
          Quasi-Experimental Studies
          Nonexperimental Studies
          Prospective Studies
          Sex Factors
          Leisure Activities
          Time Factors
          Socioeconomic Factors
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Background: More than two-thirds of Australians are overweight. Existing research based on non-experimental data has primarily established associations, rather than causal inferences, between physical activity (PA) and body mass index (BMI). PA and BMI likely affect each other, a reciprocal interplay most studies overlook. We investigate the causal relationship between PA and BMI using a quasi-experimental approach to overcome reverse causality bias. Method: A maximum likelihood treatment effect model, a quasi-experimental method, was employed. Data was from an observational longitudinal dataset of 130,397 observations with 19,677 unique individuals aged 15–64 (52% are females) from the Household, Income, and Labour Dynamics in Australia survey 2006–2019. We first tested for the reverse relationships (whereby overweight limits PA) before estimating the effect of PA on BMI. Results: The first-stage modelling results showed that overweight and obese adults are less likely to engage in PA, as are those resource constrained (time or socioeconomically). In the second modelling stage, there was a clear and significant effect of PA on BMI. Being physically active more than three times a week led to a 2.55-point reduction in BMI (p < 0.001). For women, this effect was more pronounced, with a 2.92-point reduction (p < 0.001). Conclusion: This study leverages existing longitudinal data to provide causal estimates of PA on BMI—finding that PA reduces BMI, particularly for women. As many individuals face resource constraints, campaigns to promote behavioural change need to be nuanced and shift some of the responsibility for physically activity from individuals to policy and organizational reforms.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N