Literature DB >> 12075584

Which aspects of socioeconomic status are related to obesity among men and women?

K Ball1, G Mishra, D Crawford.   

Abstract

OBJECTIVE: This study aimed to investigate the relationships between body weight and fat distribution, and four empirically derived domains of socioeconomic status: employment, housing, migration status and family unit.
DESIGN: A population-based study was used. PARTICIPANTS: A total of 8667 randomly-selected adults (4167 men; 4500 women) who participated in the 1995 Australian National Health and Nutrition Surveys provided data on a range of health factors including objective height, weight and body fat distribution, and a range of sociodemographic indicators.
RESULTS: Results demonstrated associations for women, after controlling for age, between the employment domain, and body mass index and waist-to-hip ratio. Low status employed women were 1.4 times as likely to be overweight as high status employed women. There were less consistent relationships observed among these factors for men. Relationships between family unit and indicators of body weight and body fat distribution were observed for both men and women, with those who were married, particularly men (OR = 1.6, 95% CI 1.4-2.0), at higher risk of overweight. The migration and housing socioeconomic status domains were not consistently associated with body mass index or waist-to-hip ratio.
CONCLUSIONS: These findings indicate that different components of socioeconomic status may be important in predicting obesity, and thus should be examined separately. Future research would benefit from investigating the underlying mechanisms governing the relationships between socioeconomic status domains further, particularly those related to employment and family unit and obesity.

Entities:  

Mesh:

Year:  2002        PMID: 12075584     DOI: 10.1038/sj.ijo.0801960

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  34 in total

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Authors:  S L Brennan; W D Leslie; L M Lix
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2.  Examining the association between socioeconomic position and body mass index in 1978 and 2005 among Canadian working-age women and men.

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3.  Social disadvantage, bone mineral density and vertebral wedge deformities in the Tasmanian Older Adult Cohort.

Authors:  S L Brennan; T M Winzenberg; J A Pasco; A E Wluka; A G Dobbins; G Jones
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4.  Relative residential property value as a socio-economic status indicator for health research.

Authors:  Neil T Coffee; Tony Lockwood; Graeme Hugo; Catherine Paquet; Natasha J Howard; Mark Daniel
Journal:  Int J Health Geogr       Date:  2013-04-15       Impact factor: 3.918

5.  Class III obesity and unwanted pregnancy among women with live births in New York City, 2004-2007.

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Journal:  Matern Child Health J       Date:  2013-10

6.  Overweight and obesity trends from 1974 to 2003 in English children: what is the role of socioeconomic factors?

Authors:  E Stamatakis; P Primatesta; S Chinn; R Rona; E Falascheti
Journal:  Arch Dis Child       Date:  2005-06-14       Impact factor: 3.791

Review 7.  Microbiota and metabolic diseases.

Authors:  Alessia Pascale; Nicoletta Marchesi; Cristina Marelli; Adriana Coppola; Livio Luzi; Stefano Govoni; Andrea Giustina; Carmine Gazzaruso
Journal:  Endocrine       Date:  2018-05-02       Impact factor: 3.633

8.  Social factors and overweight: evidence from nine Asian INDEPTH Network sites.

Authors:  Abdur Razzaque; Lutfun Nahar; Hoang Van Minh; Nawi Ng; Sanjay Juvekar; Ali Ashraf; Syed Masud Ahmed; Kusol Soonthornthada; Uraiwan Kanungsukkasem; Tran Huu Bich
Journal:  Glob Health Action       Date:  2009-09-28       Impact factor: 2.640

9.  Differences in dietary patterns between older and younger obese and overweight outpatients.

Authors:  E M Inelmen; E D Toffanello; G Enzi; G Sergi; A Coin; L Busetto; E Manzato
Journal:  J Nutr Health Aging       Date:  2008-01       Impact factor: 4.075

10.  FRAX provides robust fracture prediction regardless of socioeconomic status.

Authors:  S L Brennan; W D Leslie; L M Lix; H Johansson; A Oden; E McCloskey; J A Kanis
Journal:  Osteoporos Int       Date:  2013-11-05       Impact factor: 4.507

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