{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T23:43:15Z","timestamp":1769816595445,"version":"3.49.0"},"reference-count":28,"publisher":"BMJ","issue":"9","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2015,8,21]]},"published-print":{"date-parts":[[2015,9]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>A recent analysis of the Australian National Health Survey (2011\u20132012) reported that the patterning of overweight and obesity among men, unlike for women, was not associated with neighbourhood socioeconomic disadvantage. The purpose of this study was to examine whether this gender difference in potential neighbourhood \u2018effects\u2019 on adult weight status can be observed in analyses of a different source of data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design, setting and participants<\/jats:title>\n                    <jats:p>A cross-sectional sample of 14\u2005693 people aged 18\u2005years or older was selected from the 2012 wave of the \u2018Household, Income and Labour Dynamics in Australia\u2019 (HILDA). Three person-level outcomes were considered: (1) body mass index (BMI); (2) a binary indicator of \u2018normal weight\u2019 versus \u2018overweight or obese\u2019; and (3) \u2018normal weight or overweight\u2019 versus \u2018obese\u2019. Area-level socioeconomic circumstances were measured using quintiles of the Socio Economic Index For Areas (SEIFA). Multilevel linear and logistic regression models were used to examine associations while accounting for clustering within households and neighbourhoods, adjusting for person-level socioeconomic confounders.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Neighbourhood-level factors accounted for 4.9% of the overall variation in BMI, whereas 20.1% was attributable to household-level factors. Compared with their peers living in deprived neighbourhoods, mean BMI was 0.7\u2005kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      lower among men and 2.2\u2005kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      lower among women living in affluent areas, with a clear trend across categories. Similarly, the percentage of overweight and obese, and obesity specifically, was lower in affluent areas for both men and women. These results were robust to adjustment for confounders.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Unlike findings from the national health survey, but in line with evidence from other high-income countries, this study finds an inverse patterning of BMI by neighbourhood disadvantage for men, and especially among women. The potential mediators which underpin this gender difference in BMI within disadvantaged neighbourhoods warrant further investigation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2014-007052","type":"journal-article","created":{"date-parts":[[2015,9,16]],"date-time":"2015-09-16T22:49:08Z","timestamp":1442443748000},"page":"e007052","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":16,"title":["Do neighbourhood socioeconomic circumstances not matter for weight status among Australian men? Multilevel evidence from a household survey of 14\u2005691 adults"],"prefix":"10.1136","volume":"5","author":[{"given":"Xiaoqi","family":"Feng","sequence":"first","affiliation":[{"name":"Early Start Research Institute, University of Wollongong, Wollongong, NSW, Australia"},{"name":"School of Health and Society, University of Wollongong, Wollongong, NSW, Australia"},{"name":"Menzies Centre for Health Policy, School of Public Health, University of Sydney, Sydney, New South Wales, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Wilson","sequence":"additional","affiliation":[{"name":"Menzies Centre for Health Policy, School of Public Health, University of Sydney, Sydney, New South Wales, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2015,9,16]]},"reference":[{"key":"2025120618154311000_5.9.e007052.1","doi-asserted-by":"crossref","first-page":"260","DOI":"10.5694\/j.1326-5377.2010.tb03503.x","article-title":"The cost of overweight and obesity in Australia","volume":"192","author":"Colagiuri","year":"2010","journal-title":"Med J Aust"},{"key":"2025120618154311000_5.9.e007052.2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(11)60814-3"},{"key":"2025120618154311000_5.9.e007052.3","unstructured":"Australian Bureau of Statistics. 4364.0.55.003\u2014Australian Health Survey: Updated Results, 2011\u20132012: Overweight and obesity. 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