Observational studyPloS one2020
Associations between area socioeconomic status, individual mental health, physical activity, diet and change in cardiometabolic risk amongst a cohort of Australian adults: A longitudinal path analysis.
Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-analysis of 633,317 individuals shows associations between healthy diets and depression, anxiety and stress in 23 low- and middle-income countries.BMC global and public health · 2026Pooled it
- Built environment and the evolution of cardiometabolic risk factors: a systematic review and meta-analysis of longitudinal studies.BMC medicine · 2025Pooled it
- Socioeconomic inequalities and health behaviours in depression: a picture of mental health in Portugal.European journal of public health · 2026Article
- Mapping fine-scale spatial risk patterns of gestational diabetes over time in Australia: a nationwide geospatial study.BMJ open · 2025Article
- From parental education to under-5 mortality: how antenatal care and hand hygiene mediate the pathway mechanisms.BMC public health · 2025Article
- Variation in brain aging: A review and perspective on the utility of individualized approaches to the study of functional networks in aging.Neurobiology of aging · 2025Review
- Socioeconomic disparities in depression risk: Limitations of the moderate effect of physical activity changes in Korea.PloS one · 2025Article
- Mapping computational cognitive profiles of aging to dissociable brain and sociodemographic factors.npj aging · 2024Article
- The association between physical activities combined with dietary habits and cardiovascular risk factors.Heliyon · 2024Article
- The Association of Loneliness with Diabetes Is Mediated by Physical Activity and BMI but Not Diet Quality.Nutrients · 2023Article
- Reducing Hemoglobin A1C Levels in Type II Diabetes: A Retrospective Analysis of the Renew Procedure.Cureus · 2023Article
- Article
- The neighbourhood environment and profiles of the metabolic syndrome.Environmental health : a global access science source · 2022Article
- Factors Associated with Hemoglobin A1c Level Among Women Without Prior Diabetes Diagnosis in Rural Areas of Central South China: A Cross-Sectional Study.International journal of women's health · 2022Article
- Facilitators and Barriers to Physical Activity and Sport Participation Experienced by Aboriginal and Torres Strait Islander Adults: A Mixed Method Review.International journal of environmental research and public health · 2021Review
- BMI Course Over 10 Years After Bariatric Surgery and Biopsychosocial Complexity Assessed with the INTERMED: a Retrospective Study.Obesity surgery · 2021Article
- Associations of Intake of Free and Naturally Occurring Sugars from Solid Foods and Drinks with Cardiometabolic Risk Factors in a Quebec Adult Population: The PREDISE (PRÉDicteurs Individuels, Sociaux et Environnementaux) Study.The Journal of nutrition · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Presumed pathways from environments to cardiometabolic risk largely implicate health behaviour although mental health may play a role. Few studies assess relationships between these factors. This study estimated associations between area socioeconomic status (SES), mental health, diet, physical activity, and 10-year change in glycosylated haemoglobin (HbA1c), comparing two proposed path structures: 1) mental health and behaviour functioning as parallel mediators between area SES and HbA1c; and 2) a sequential structure where mental health influences behaviour and consequently HbA1c. Three waves (10 years) of population-based biomedical cohort data were spatially linked to census data based on participant residential address. Area SES was expressed at baseline using an established index (SEIFA-IEO). Individual behavioural and mental health information (Wave 2) included diet (fruit and vegetable servings per day), physical activity (meets/does not meet recommendations), and the mental health component score of the 36-item Short Form Health Survey. HbA1c was measured at each wave. Latent variable growth models with a structural equation modelling approach estimated associations within both parallel and sequential path structures. Models were adjusted for age, sex, employment status, marital status, education, and smoking. The sequential path model best fit the data. HbA1c worsened over time. Greater area SES was statistically significantly associated with greater fruit intake, meeting physical activity recommendations, and had a protective effect against increasing HbA1c directly and indirectly through physical activity behaviour. Positive mental health was statistically significantly associated with greater fruit and vegetable intakes and was indirectly protective against increasing HbA1c through physical activity. Greater SES was protective against increasing HbA1c. This relationship was partially mediated by physical activity but not diet. A protective effect of mental health was exerted through physical activity. Public health interventions should ensure individuals residing in low SES areas, and those with poorer mental health are supported in meeting physical activity recommendations.
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