ArticlePloS one2013
Neighborhood socioeconomic circumstances and the co-occurrence of unhealthy lifestyles: evidence from 206,457 Australians in the 45 and up study.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Co-occurrence and clustering characteristics of health risk behaviors among older adults in China.Frontiers in public health · 2025Article
- Dietary inequity? A systematic scoping review of dietary intake in low socio-economic groups compared with high socio-economic groups in Australia.Public health nutrition · 2021Article
- The association between subjective health perception and lifestyle factors in Shiga prefecture, Japan: a cross-sectional study.BMC public health · 2020Article
- Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England.Preventive medicine · 2020Article
- Using Physical Activity to Enhance Health Outcomes Across the Life Span.Journal of functional morphology and kinesiology · 2020Article
- Longitudinal associations between lifestyle, socio-economic position and physical functioning in women at different life stages.European journal of ageing · 2019Article
- Unequal Exposure or Unequal Vulnerability? Contributions of Neighborhood Conditions and Cardiovascular Risk Factors to Socioeconomic Inequality in Incident Cardiovascular Disease in the Multi-Ethnic Study of Atherosclerosis.American journal of epidemiology · 2018Article
- Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study.PloS one · 2017Article
- Article
- The association of socio-demographic status, lifestyle factors and dietary patterns with total urinary phthalates in Australian men.PloS one · 2015Article
- People with multiple unhealthy lifestyles are less likely to consult primary healthcare.BMC family practice · 2014Article
- The impact of the 2008-2009 economic recession on acute myocardial infarction occurrences in various socioeconomic areas of raritan bay region, new jersey.North American journal of medical sciences · 2014Article
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Abstract
backgroundResearch on the co-occurrence of unhealthy lifestyles has tended to focus mainly upon the demographic and socioeconomic characteristics of individuals. This study investigated the relevance of neighborhood socioeconomic circumstance for multiple unhealthy lifestyles.
methodAn unhealthy lifestyle index was constructed for 206,457 participants in the 45 and Up Study (2006-2009) by summing binary responses on smoking, alcohol, physical activity and five diet-related variables. Higher scores indicated the co-occurrence of unhealthy lifestyles. Association with self-rated health, quality of life; and risk of psychological distress was investigated using multilevel logistic regression. Association between the unhealthy lifestyle index with neighborhood characteristics (local affluence and geographic remoteness) were assessed using multilevel linear regression, adjusting for individual-level characteristics.
resultsNearly 50% of the sample reported 3 or 4 unhealthy lifestyles. Only 1.5% reported zero unhealthy lifestyles and 0.2% had all eight. Compared to people who scored zero, those who scored 8 (the 'unhealthiest' group) were 7 times more likely to rate their health as poor (95%CI 3.6, 13.7), 5 times more likely to report poor quality of life (95%CI 2.6, 10.1), and had a 2.6 times greater risk of psychological distress (95%CI 1.8, 3.7). Higher scores among men decreased with age, whereas a parabolic distribution was observed among women. Neighborhood affluence was independently associated with lower scores on the unhealthy lifestyle index. People on high incomes scored higher on the unhealthy lifestyle index if they were in poorer neighborhoods, while those on low incomes had fewer unhealthy lifestyles if living in more affluent areas.
interpretationResidents of deprived neighborhoods tend to report more unhealthy lifestyles than their peers in affluent areas, regardless of their individual demographic and socioeconomic characteristics. Future research should investigate the trade-offs of population-level versus geographically targeted multiple lifestyle interventions.
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