BMC Public Health | |
Educational mobility and weight gain over 13 years in a longitudinal study of young women | |
Gita Mishra2  Ilona Koupil1  Leigh Tooth2  Mark Jones2  Natalie Holowko2  | |
[1] Centre for Health Equity Studies (CHESS), Stockholm University/Karolinska Institute, Sveavägen 160, 10691 Stockholm, Sweden;Centre for Longitudinal and Life Course Research, School of Population Health, University of Queensland, Herston Road, 4006 Brisbane, Australia | |
关键词: Weight gain; Weight trajectory; Social inequalities; Longitudinal studies; Educational status; | |
Others : 1122894 DOI : 10.1186/1471-2458-14-1219 |
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received in 2014-05-28, accepted in 2014-11-10, 发布年份 2014 | |
【 摘 要 】
Background
Limited evidence exists about the role of education and own educational mobility on body weight trajectory. A better understanding of how education influences long term weight gain can help us to design more effective health policies.
Methods
Using random effects models, the association between i) highest education (n = 10 018) and ii) educational mobility over a 9 year period (n = 9 907) and weight gain was analysed using five waves of data (over 13 years) from the Australian Longitudinal Study on Women’s Health 1973–78 cohort (from 18–23 years to 31–36 years).
Results
Highest educational attainment was inversely associated with weight at baseline and weight gain over 13 years. Compared to high educated women, those with a low (12 years or less) or intermediate (trade/certificate/diploma) education, respectively, weighed an additional 2.6 kg (95% CI:1.9 to 3.1) and 2.5 kg (95% CI:1.9 to 3.3) at baseline and gained an additional 3.9 kg (95% CI:2.6 to 5.2) and 3.1 kg (95% CI:2.6 to 3.9) over 13 years. Compared to women who remained with a low education, women with the greatest educational mobility had similar baseline weight to the women who already had a high education at baseline (2.7 kg lighter (95% CI:-3.7 to -1.8) and 2.7 kg lighter (95% CI:-3.4 to -1.9), respectively) and similarly favourable weight gain (gaining 3.1 kg less (95% CI:-4.0 to -2.21) and 4.2 kg less (95% CI:-4.8 to -3.4) over the 13 years, respectively).
Conclusions
While educational attainment by mid-thirties was positively associated with better weight management, women’s weight was already different in young adult age, before their highest education was achieved. These findings highlight a potential role of early life factors and personality traits which may influence both education and weight outcomes.
【 授权许可】
2014 Holowko et al.; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
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20150215023722126.pdf | 310KB | download | |
Figure 2. | 24KB | Image | download |
Figure 1. | 20KB | Image | download |
【 图 表 】
Figure 1.
Figure 2.
【 参考文献 】
- [1]Novak M, Ahlgren C, Hammarström A: A life-course approach in explaining social inequity in obesity among young adult men and women. Int J Obesity (London) 2006, 30(1):191-200.
- [2]Gunderson E, Quesenberry C, Lewis C, Tsai A, Sternfeld B, Smith West D, Sidney S: Development of overweight associated with childbearing depends on smoking habit: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. Obes Res 2004, 12(12):2041-2053.
- [3]Fowden A, Ward J, Forhead A: Control of fetal metabolism: relevance to developmental origins of health and disease. In Developmental Origins of Health and Disease. Edited by Gluckman P, Hanson M. New York: Cambridge University Press; 2006:130-142.
- [4]Ball K, Crawford D: Socioeconomic status and weight change in adults: a review. Soc Sci Med 2005, 60(9):1987-2010.
- [5]Brown W, Hockey R, Dobson A: Effects of having a baby on weight gain. Am J Prev Med 2010, 38(2):163-170.
- [6]Clarke P, O’Malley P, Johnston L, Schulenberg J: Social disparities in BMI trajectories across adulthood by gender, race/ethnicity and lifetime socio-economic position: 1986–2004. Int J Epidemiol 2009, 38(2):499-509.
- [7]Sundquist J, Johansson S: The influence of socioeconomic status, ethnicity and lifestyle on body mass index in a longitudinal study. Int J Epidemiol 1998, 27(1):57-63.
- [8]Lahmann P, Lissner L, Gullberg B, Berglund G: Sociodemographic factors associated with long-term weight gain, current body fatness and central adiposity in Swedish women. Int J Obes Relat Metab Disord 2000, 24(6):685-694.
- [9]Backholer K, Mannan H, Magliano D, Walls H, Stevenson C, Beauchamp A, Shaw J, Peeters A: Projected socioeconomic disparities in the prevalence of obesity among Australian adults. Aust N Z J Public Health 2012, 36(6):557-563.
- [10]Flegal K, Harlan W, Landis J: Secular trends in body mass index and skinfold thickness with socioeconomic factors in young adult women. Am J Clin Nutr 1988, 48(3):535-543.
- [11]Langenberg C, Hardy R, Kuh D, Brunner E, Wadsworth M: Central and total obesity in middle aged men and women in relation to lifetime socioeconomic status: evidence from a national birth cohort. J Epidemiol Community Health 2003, 57(10):816-822.
- [12]Hardy R, Wadsworth M, Kuh D: The influence of childhood weight and socioeconomic status on change in adult body mass index in a British national birth cohort. Int J Obes Relat Metab Disord 2000, 24(6):725-734.
- [13]Baltrus P, Everson-Rose S, Lynch J, Raghunathan T, Kaplan G: Socioeconomic position in childhood and adulthood and weight gain over 34 years: The Alameda Study. Ann Epidemiol 2007, 17(8):608-614.
- [14]Eek F, Östergren P: Factors associated with BMI change over five years in a Swedish adult population. Results from the Scania Public Health Cohort Study. Scand J Public Health 2009, 37(5):534-544.
- [15]Ball K, Brown W, Crawford D: Who does not gain weight? Prevalence and predictors of weight maintenance in young women. Int J Obes Relat Metab Disord 2002, 26(12):1570-1578.
- [16]van Lenthe F, Droomers M, Schrijvers C, Mackenbach J: Socio-demographic variables and 6 year change in body mass index: longitudinal results from the GLOBE study. Int J Obes 2000, 24(8):1077-1084.
- [17]Gearon E, Backholer K, Hodge A, Peeters A: The mediating role of dietary factors and leisure time physical activity on socioeconomic inequalities in body mass index among Australian adults. BMC Public Health 2013, 21(13):1214.
- [18]Wannamethee S, Field A, Colditz G, Rimm E: Alcohol intake and 8-year weight gain in women: a prospective study. Obes Res 2004, 12(9):1386-1396.
- [19]Proper K, Cerin E, Brown W, Owen N: Sitting time and socio-economic differences in overweight and obesity. Int J Obes 2007, 31(1):169-176.
- [20]Ball K, Crawford D, Ireland P, Hodge A: Patterns and demographic predictors of 5year weight change in a multiethnic cohort of men and women in Australia. Public Health Nutr 2003, 6(3):269-280.
- [21]Guelinckx I, Devlieger R, Beckers K, Vansant G: Maternal obesity: pregnancy complications, gestational weight gain and nutrition. Obes Rev 2008, 9(2):140-150.
- [22]Olson C, Strawderman M, Dennison B: Maternal weight gain during pregnancy and child weight at age 3 years. Matern Child Health J 2009, 13(6):839-846.
- [23]Ball K, Mishra G: Whose socioeconomic status influences a woman’s obesity risk: her mother’s, her father’s or her own? Int J Epidemiol 2006, 35(1):131-138.
- [24]Greenlund K, Liu K, Dyer A, Kiefe C, Burke G, Yunis C: Body mass index in young adults: Associations with parental body size and education in the CARDIA study. Am J Public Health 1996, 86(4):480-485.
- [25]Lee C, Dobson A, Brown W, Bryson L, Byles J, Warner-Smoth P, Young A: Cohort profile: The Australian Longitudinal Study on Women’s Health. Int J Epidemiol 2005, 34(5):987-991.
- [26]Brown W, Bryson L, Byles J, Dobson A, Lee C, Mishra G, Schofield M: Women’s Health Australia: recruitment for a national longitudinal cohort study. Women Health 1998, 28(1):23-40.
- [27]Spratt M, Carpenter J, Sterne J, Carlin J, Heron J, Henderson J, Tilling K: Strategies for multiple imputation in longitudinal studies. Am J Epidemiol 2010, 172(4):478-487.
- [28]NHMRC (National Health and Medical Research Council): Australian Alcohol Guidelines: Health risks and benefits. Canberra: Australian Government Publishing Service; 2001. http://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/ds9.pdf webcite
- [29]Brown W, Burton N, Marshall A, Miller Y: Reliability and validity of a modified self-administered version of the Active Australia physical activity survey in a sample of mid-age women. Aust NZ J Public Health 2008, 32(6):535-541.
- [30]Berwick D, Murphy J, Goldman P, Ware J, Barksy A, Weinstein M: Performance of a five-item mental health screening test. Med Care 1991, 29(2):169-176.
- [31]World Health Organisation (WHO): WHO BMI Classification. Global Database on Body Mass Index 2013. http://apps.who.int/bmi/index.jsp?introPage=intro_3.html webcite
- [32]Singer J: Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. J Educ Behav Stat 1998, 24(4):323-355.
- [33]Greenland S: Modeling and variable selection in epidemiologic analysis. Am J Public Health 1989, 79(3):340-349.
- [34]Loman T, Lallukka T, Laaksonen M, Rahkonen O, Lahelma E: Multiple socioeconomic determinants of weight gain: the Helsinki Health Study. BMC Public Health 2013, 13(1):259. BioMed Central Full Text
- [35]Botoseneanu A, Liang J: Social stratification of body weight trajectory in middle-age and older Americans: results from a 14-year longitudinal study. J Aging Health 2011, 23(3):454-480.
- [36]Mackenbach J: New trends in health inequalities research: now it’s personal. Lancet 2010, 376(9744):854-855.
- [37]Sullivan S, Cloniger C, Przybeck T, Klein S: Personality characteristics in obesity and relationship with successful weight loss. Int J Obes 2007, 31(4):669-674.
- [38]Spencer E, Appleby P, Davey G, Key T: Validity of self-reported height and weight in 4808 EPIC-Oxford participants. Public Health Nutr 2002, 5(4):561-565.
- [39]Koupil I, Toivanen P: Social and early life determinants of overweight and obesity in 18 year old Swedish men. Int J Obes 2008, 32(1):72-81.
- [40]Abu-Rmeileh N, Hart C, McConnachie A, Upton M, Lean M, Watt G: Contribution of midparental BMI and other determinants of obesity in adult offspring. Obesity 2008, 16(6):1388-1393.