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Sociodemographic and behavioural correlates of weight status among women with children living in socioeconomically disadvantaged neighbourhoods

Abstract

Objective:

To investigate sociodemographic and behavioural characteristics associated with weight status among women with children living in socioeconomically disadvantaged neighbourhoods.

Methods and procedures:

A total of 1680 women aged 18–46 years, living in socioeconomically disadvantaged neighbourhoods with dependent children (aged 0–18 years), provided self-report data on height and weight and a range of sociodemographic and behavioural (for example, dietary intake, physical activity and time spent sitting) characteristics.

Results:

Half of the women were classified as having a healthy weight (body mass index=18.5–25). Bivariable ordinal logistic regression analyses indicated that a healthy weight status was associated with a range of sociodemographic and behavioural characteristics. In a multivariable model, a healthy weight status among women was associated with being younger and unmarried, speaking a language other than English at home, having a medium or high level of education, and a partner with a high level of education, having a high household income, spending more time engaged in leisure-time physical activity and less time spent sitting, and having a lower consumption of soft drink.

Discussion:

The present findings highlight that a considerable proportion of women with children living in disadvantaged neighbourhoods manage to maintain a healthy weight. Acknowledging the cross-sectional nature of this study, strategies aimed at helping women with children in socioeconomically disadvantaged areas to maintain their weight should focus on increasing physical activity, and reducing sitting time and soft drink consumption.

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References

  1. World Health Organization. Obesity: prevention and managing the global epidemic. Report on a WHO consultation. World Health Organization: Geneva, 1998. WHO Technical Report Series 894.

  2. Ball K, Crawford D, Ireland P, Hodge A . Patterns and demographic predictors of 5-year weight change in a multi-ethnic cohort of men and women in Australia. Public Health Nutr 2003; 6: 269–280.

    Article  PubMed  Google Scholar 

  3. Ball K, Brown W, Crawford D . Who does not gain weight? Prevalence and predictors of weight maintenance in young women. Int J Obes 2002; 26: 1570–1578.

    Article  CAS  Google Scholar 

  4. Williamson DF, Kahn HS, Byers T . The 10-y incidence of obesity and major weight gain in black and white US women aged 30–55 y. Am J Clin Nutr 1991; 53: 1515S–1518S.

    Article  CAS  PubMed  Google Scholar 

  5. Williamson DF, Madans J, Pamuk E, Flegal KM, Kendrick JS, Serdula MK . A prospective study of childbearing and 10-year weight gain in US white women 25 to 45 years of age. Int J Obes Relat Metab Disord 1994; 18: 561–569.

    CAS  PubMed  Google Scholar 

  6. Wolfe WS, Sobal J, Olson CM, Frongillo Jr EA, Williamson DF. Parity-associated weight gain and its modification by sociodemographic and behavioral factors: a prospective analysis in US women. Int J Obes Relat Metab Disord 1997; 21: 802–810.

    Article  CAS  PubMed  Google Scholar 

  7. Smith DE, Lewis CE, Caveny JL, Perkins LL, Burke GL, Bild DE . Longitudinal changes in adiposity associated with pregnancy. The CARDIA Study. Coronary Artery Risk Development in Young Adults Study. JAMA 1994; 271: 1747–1751.

    Article  CAS  PubMed  Google Scholar 

  8. Rookus MA, Rokebrand P, Burema J, Deurenberg P . The effect of pregnancy on the body mass index 9 months postpartum in 49 women. Int J Obes 1987; 11: 609–618.

    CAS  PubMed  Google Scholar 

  9. Bellows-Riecken KH, Rhodes RE . A birth of inactivity? A review of physical activity and parenthood. Prev Med 2008; 46: 99–110.

    Article  PubMed  Google Scholar 

  10. George GC, Milani TJ, Hanss-Nuss H, Freeland-Graves JH . Compliance with dietary guidelines and relationship to psychosocial factors in low-income women in late postpartum. J Am Diet Assoc 2005; 105: 916–926.

    Article  PubMed  Google Scholar 

  11. Ball K, Crawford D, Warren N . How feasible are healthy eating and physical activity for young women? Public Health Nutr 2004; 7: 433–441.

    PubMed  Google Scholar 

  12. Ellaway A, Anderson A, Macintyre S . Does area of residence affect body size and shape? Int J Obes 1997; 21: 304–308.

    Article  CAS  Google Scholar 

  13. Harrington DW, Elliott SJ . Weighing the importance of neighbourhood: a multilevel exploration of the determinants of overweight and obesity. Soc Sci Med 2009; 68: 593–600.

    Article  PubMed  Google Scholar 

  14. Ball K, Crawford D, Mishra G . Socio-economic inequalities in women′s fruit and vegetable intakes: a multilevel study of individual, social and environmental mediators. Public Health Nutr 2006; 9: 623–630.

    Article  PubMed  Google Scholar 

  15. Gidlow C . A systematic review of the relationship between socio-economic position and physical activity. Health Educ J 2006; 65: 338–367.

    Article  Google Scholar 

  16. Crespo CJ, Ainsworth BE, Keteyian SJ, Heath GW, Smit E . Prevalence of physical inactivity and its relation to social class in US. adults: results from the Third National Health and Nutrition Examination Survey 1988–1994. Med Sci Sports Exerc 1999; 31: 1821–1827.

    Article  CAS  PubMed  Google Scholar 

  17. Inglis V, Ball K, Crawford D . Why do women of low socioeconomic status have poorer dietary behaviours than women of higher socioeconomic status? A qualitative exploration. Appetite 2005; 45: 334–343.

    Article  CAS  PubMed  Google Scholar 

  18. Johansson L, Thelle DS, Solvoll K, Bjørneboe GE, Drevon CA . Healthy dietary habits in relation to social determinants and lifestyle factors. Br J Nutr 1999; 81: 211–220.

    Article  CAS  PubMed  Google Scholar 

  19. Shrewsbury V, Garnett S, Cowell C, Crawford D, Baur L . Change in women′s body mass index and waist circumference, 1997 to 2002: The Nepean Study. Aust NZ J Public Health 2005; 29: 183–186.

    Article  Google Scholar 

  20. Ball K, Crawford D . Socio-economic factors in obesity: a case of slim chance in a fat world? Asia Pac J Clin Nutr 2006; 15: 15–20.

    PubMed  Google Scholar 

  21. Australian Bureau of Statistics. 2001 Census of Population and Housing—SEIFA, 2001. (http://www.abs.gov.au/AUSSTATS/abs@.nsf/allprimarymainfeatures/C53F24374E92E8D3CA2573F0000DA0BE?opendocument) Accessed on 5 November 2008.

  22. Gorber SC, Tremblay M, Moher D, Gorber B . A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev 2007; 8: 307–326.

    Article  PubMed  Google Scholar 

  23. Krieger N, Williams DR, Moss NE . Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health 1997; 18: 341–378.

    Article  CAS  PubMed  Google Scholar 

  24. Turrell G . Income non-reporting: implications for health inequalities research. J Epidemiol Community Health 2000; 54: 207–214.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003; 35: 1381–1395.

    Article  PubMed  Google Scholar 

  26. Marks G, Webb K, Rutishauser I, Riely M . Monitoring Food Habits in the Australian Population Using Short Questions. Commonwealth of Australia: Canberra, 2001.

    Google Scholar 

  27. Riley M, Rutishauser IHE, Webb K . Comparison of Short Questions with Weighed Dietary Records. Australian Food and Nutrition Monitoring Unit: Canberra, 2001.

    Google Scholar 

  28. McLennan W, Podger A . National Nutrition Survey User's Guide 1995. AGPS: Canberra, 1998.

    Google Scholar 

  29. Rutishauser IHE, Webb K, Abraham B, Allsopp R . Evaluation of Short Dietary Questions from the 1995 National Nutrition Survey. National Food and Nutrition Monitoring and Surveillance Project. Commonwealth Department of Health and Aged Care: Canberra, 2001.

    Google Scholar 

  30. Sanigorski AM, Bell AC, Swinburn BA . Association of key foods and beverages with obesity in Australian schoolchildren. Public Health Nutr 2007; 10: 152–157.

    Article  PubMed  Google Scholar 

  31. Hodge A, Patterson AJ, Brown WJ, Ireland P, Giles G . The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Aust NZ J Public Health 2000; 24: 576–583.

    Article  CAS  Google Scholar 

  32. Willett W . Nutritional Epidemiology. Oxford University Press: New York, 1998.

    Book  Google Scholar 

  33. Ball K, Mishra GD, Thane CW, Hodge A . How well do Australian women comply with dietary guidelines? Public Health Nutr 2004; 7: 443–452.

    PubMed  Google Scholar 

  34. Hu FB, Rimm EB, Stampfer MJ, Ascherio A, Spiegelman D, Willett WC . Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 2000; 72: 912–921.

    Article  CAS  PubMed  Google Scholar 

  35. Dillman D . Mail and Telephone Surveys: The Total Design Method. Wiley: New York, 1978.

    Google Scholar 

  36. Scott SC, Goldberg MS, Mayo NE . Statistical assessment of ordinal outcomes in comparative studies. J Clin Epidemiol 1997; 50: 45–55.

    Article  CAS  PubMed  Google Scholar 

  37. Lipowicz A, Gronkiewicz S, Malina RM . Body mass index, overweight and obesity in married and never married men and women in Poland. Am J Hum Biol 2002; 14: 468–475.

    Article  PubMed  Google Scholar 

  38. Sobal J, Rauschenbach B, Frongillo EA . Marital status changes and body weight changes: a US longitudinal analysis. Soc Sci Med 2003; 56: 1543–1555.

    Article  PubMed  Google Scholar 

  39. Jeffery RW, Rick AM . Cross-sectional and longitudinal associations between body mass index and marriage-related factors. Obes Res 2002; 10: 809–815.

    Article  PubMed  Google Scholar 

  40. Ball K, Crawford D . Socioeconomic status and weight change in adults: a review. Soc Sci Med 2005; 60: 1987–2010.

    Article  PubMed  Google Scholar 

  41. Fogelholm M, Kukkonen-Harjula K . Does physical activity prevent weight gain—a systematic review. Obes Rev 2000; 1: 95–111.

    Article  CAS  PubMed  Google Scholar 

  42. Catenacci VA, Wyatt HR . The role of physical activity in producing and maintaining weight loss. Nat Clin Pract Endocrinol Metab 2007; 3: 518–529.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Malik V, Schulze M, Hu F . Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr 2006; 84: 274–288.

    Article  CAS  PubMed  Google Scholar 

  44. Johansson L, Solvoll K, Bjorneboe GE, Drevon CA . Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample. Am J Clin Nutr 1998; 68: 266–274.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This study was funded by an Australian National Health and Medical Research Council Strategic Award (#374241). The authors gratefully acknowledge the contributions of the project manager Dr Michelle Jackson, the field staff, and the study participants. Abbie MacFarlane is supported by a National Health and Medical Research Council Capacity Building Grant, David Crawford is supported by a VicHealth Senior Public Health Research Fellowship and Kylie Ball is supported by National Health and Medical Research Council Senior Research Fellowship (#479513).

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Correspondence to K Ball.

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MacFarlane, A., Abbott, G., Crawford, D. et al. Sociodemographic and behavioural correlates of weight status among women with children living in socioeconomically disadvantaged neighbourhoods. Int J Obes 33, 1289–1298 (2009). https://doi.org/10.1038/ijo.2009.167

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