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Erschienen in: Diabetologia 12/2010

01.12.2010 | Article

Health behaviours, socioeconomic status and diabetes incidence: the Australian Diabetes Obesity and Lifestyle Study (AusDiab)

verfasst von: E. D. Williams, R. J. Tapp, D. J. Magliano, J. E. Shaw, P. Z. Zimmet, B. F. Oldenburg

Erschienen in: Diabetologia | Ausgabe 12/2010

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Abstract

Aims/hypothesis

To identify the impact of socioeconomic status on incident impaired glucose metabolism and type 2 diabetes and to investigate the mediating role of health behaviours on this relationship using national, population-based data.

Methods

The Australian Diabetes Obesity and Lifestyle (AusDiab) Study is a national, population-based, longitudinal study of adults aged 25 years and above. A total sample of 4,405 people provided complete baseline (1999–2000) and 5 year follow-up (2004–2005) data relevant for these analyses. Fasting plasma glucose and 2 h plasma glucose were obtained from an OGTT, and demographic, socioeconomic and behavioural data were collected by interview and questionnaire. Multinomial logistic regression examined the role of socioeconomic position in the development of diabetes and mediation analyses tested the contribution of health behaviours in this relationship.

Results

Highest level of education was a stronger predictor of incident impaired glucose tolerance and type 2 diabetes (p = 0.002), compared with household income (p = 0.103), and occupational grade (p = 0.202). Education remained a significant independent predictor of diabetes in fully adjusted models. However, the relationship was attenuated by the health behaviours (smoking and physical activity). Mediation analyses indicated that these behaviours were partial mediators (explaining 27%) of the socioeconomic status–diabetes relationship.

Conclusion/interpretation

Smoking and physical activity partly mediate the relationship between low education and type 2 diabetes. Identification of these modifiable behavioural mediators should facilitate the development of effective health promotion campaigns to target those at high risk of developing type 2 diabetes.
Literatur
1.
Zurück zum Zitat Shaw JE, Sicree RA, Zimmet PZ (2010) Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 87:4–14CrossRefPubMed Shaw JE, Sicree RA, Zimmet PZ (2010) Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 87:4–14CrossRefPubMed
2.
Zurück zum Zitat Magliano DJ, Barr EL, Zimmet PZ et al (2007) Glucose indices, health behaviours and incidence of diabetes in Australia: the AusDiab Study. Diab Care 31:267–272CrossRef Magliano DJ, Barr EL, Zimmet PZ et al (2007) Glucose indices, health behaviours and incidence of diabetes in Australia: the AusDiab Study. Diab Care 31:267–272CrossRef
3.
Zurück zum Zitat Marmot MG, Kogevinas M, Elston MA (1987) Social/economic status and disease. Annu Rev Public Health 8:111–137CrossRefPubMed Marmot MG, Kogevinas M, Elston MA (1987) Social/economic status and disease. Annu Rev Public Health 8:111–137CrossRefPubMed
4.
Zurück zum Zitat Rathmann W, Haastert B, Giani G et al (2006) Is inflammation a causal chain between low socioeconomic status and type 2 diabetes? Results from the KORA Survey 2000. Eur J Epidemiol 21:55–60CrossRefPubMed Rathmann W, Haastert B, Giani G et al (2006) Is inflammation a causal chain between low socioeconomic status and type 2 diabetes? Results from the KORA Survey 2000. Eur J Epidemiol 21:55–60CrossRefPubMed
5.
Zurück zum Zitat Robbins JM, Vaccarino V, Zhang H, Kasl SV (2005) Socioeconomic status and diagnosed diabetes incidence. Diabetes Res Clin Pract 68:230–236CrossRefPubMed Robbins JM, Vaccarino V, Zhang H, Kasl SV (2005) Socioeconomic status and diagnosed diabetes incidence. Diabetes Res Clin Pract 68:230–236CrossRefPubMed
6.
Zurück zum Zitat Maty SC, James SA, Kaplan GA (2010) Life-course socioeconomic position and incidence of diabetes mellitus among blacks and whites: the Alameda County Study, 1965–1999. Am J Public Health 100:137–145CrossRefPubMed Maty SC, James SA, Kaplan GA (2010) Life-course socioeconomic position and incidence of diabetes mellitus among blacks and whites: the Alameda County Study, 1965–1999. Am J Public Health 100:137–145CrossRefPubMed
7.
Zurück zum Zitat Espelt A, Borrell C, Roskam AJ et al (2008) Socioeconomic inequalities in diabetes mellitus across Europe at the beginning of the 21st century. Diabetologia 51:1971–1979CrossRefPubMed Espelt A, Borrell C, Roskam AJ et al (2008) Socioeconomic inequalities in diabetes mellitus across Europe at the beginning of the 21st century. Diabetologia 51:1971–1979CrossRefPubMed
8.
Zurück zum Zitat Gluckman PD, Hanson MA, Cooper C, Thornburg K (2008) Effect of in utero and early-life conditions on adult health and disease. N Engl J Med 359:61–73CrossRefPubMed Gluckman PD, Hanson MA, Cooper C, Thornburg K (2008) Effect of in utero and early-life conditions on adult health and disease. N Engl J Med 359:61–73CrossRefPubMed
9.
Zurück zum Zitat Wardle J, Steptoe A (2003) Socioeconomic differences in attitudes and beliefs about healthy lifestyles. J Epidemiol Community Health 57:440–443CrossRefPubMed Wardle J, Steptoe A (2003) Socioeconomic differences in attitudes and beliefs about healthy lifestyles. J Epidemiol Community Health 57:440–443CrossRefPubMed
10.
Zurück zum Zitat Dunstan DW, Salmon J, Owen N et al (2005) Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Diabetologia 48:2254–2261CrossRefPubMed Dunstan DW, Salmon J, Owen N et al (2005) Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Diabetologia 48:2254–2261CrossRefPubMed
11.
Zurück zum Zitat Kumari M, Head J, Marmot M (2004) Prospective study of social and other risk factors for incidence of type 2 diabetes in the Whitehall II Study. Arch Intern Med 164:1873–1880CrossRefPubMed Kumari M, Head J, Marmot M (2004) Prospective study of social and other risk factors for incidence of type 2 diabetes in the Whitehall II Study. Arch Intern Med 164:1873–1880CrossRefPubMed
12.
Zurück zum Zitat Agardh EE, Ahlbom A, Andersson T et al (2004) Explanations of socioeconomic differences in excess risk of type 2 diabetes in Swedish men and women. Diab Care 27:716–721CrossRef Agardh EE, Ahlbom A, Andersson T et al (2004) Explanations of socioeconomic differences in excess risk of type 2 diabetes in Swedish men and women. Diab Care 27:716–721CrossRef
13.
Zurück zum Zitat Krishnan S, Cozier YC, Rosenberg L, Palmer JR (2010) Socioeconomic status and incidence of type 2 diabetes: results from the Black Women’s Health Study. Am J Epidemiol 171:564–570CrossRefPubMed Krishnan S, Cozier YC, Rosenberg L, Palmer JR (2010) Socioeconomic status and incidence of type 2 diabetes: results from the Black Women’s Health Study. Am J Epidemiol 171:564–570CrossRefPubMed
14.
Zurück zum Zitat Briganti EM, Shaw JE, Chadban SJ et al (2003) Untreated hypertension among Australian adults: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Med J Aust 179:135–139PubMed Briganti EM, Shaw JE, Chadban SJ et al (2003) Untreated hypertension among Australian adults: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Med J Aust 179:135–139PubMed
15.
Zurück zum Zitat Dunstan DW, Zimmet PZ, Welborn TA et al (2002) The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)—methods and response rates. Diabetes Res Clin Pract 57:119–129CrossRefPubMed Dunstan DW, Zimmet PZ, Welborn TA et al (2002) The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)—methods and response rates. Diabetes Res Clin Pract 57:119–129CrossRefPubMed
16.
Zurück zum Zitat Australian Institute of Health and Welfare (1998) Standard questions on the use of tobacco among adults. Australian Institute of Health and Welfare, Canberra Australian Institute of Health and Welfare (1998) Standard questions on the use of tobacco among adults. Australian Institute of Health and Welfare, Canberra
17.
Zurück zum Zitat Australian Institute of Health and Welfare (2003) The Active Australia Survey: a guide and manual for implementation, analysis and reporting. Australian Institute of Health and Welfare, Canberra Australian Institute of Health and Welfare (2003) The Active Australia Survey: a guide and manual for implementation, analysis and reporting. Australian Institute of Health and Welfare, Canberra
18.
Zurück zum Zitat Ireland P, Jolley D, Giles GG et al (1994) Development of the Melbourne FFQ: a food frequency questionnaire for use in an Australian prospective study involving an ethnically diverse cohort. Asia Pac J Clin Nutr 3:19–31 Ireland P, Jolley D, Giles GG et al (1994) Development of the Melbourne FFQ: a food frequency questionnaire for use in an Australian prospective study involving an ethnically diverse cohort. Asia Pac J Clin Nutr 3:19–31
19.
Zurück zum Zitat McNaughton SA, Dunstan DW, Ball K, Shaw J, Crawford D (2009) Dietary quality is associated with diabetes and cardio-metabolic risk factors. J Nutr 139:734–742CrossRefPubMed McNaughton SA, Dunstan DW, Ball K, Shaw J, Crawford D (2009) Dietary quality is associated with diabetes and cardio-metabolic risk factors. J Nutr 139:734–742CrossRefPubMed
20.
Zurück zum Zitat McDonald JH (2009) Handbook of biological statistics, 2nd edn. Sparky House, Baltimore, pp 160–164 McDonald JH (2009) Handbook of biological statistics, 2nd edn. Sparky House, Baltimore, pp 160–164
21.
Zurück zum Zitat Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51:1173–1182CrossRefPubMed Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51:1173–1182CrossRefPubMed
22.
Zurück zum Zitat Klein S, Allison DB, Heymsfield SB et al (2007) Waist circumference and cardiometabolic risk: a consensus statement from Shaping America’s Health: Association for Weight Management and Obesity Prevention; NAASO, The Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Obesity 15:1061–1067CrossRefPubMed Klein S, Allison DB, Heymsfield SB et al (2007) Waist circumference and cardiometabolic risk: a consensus statement from Shaping America’s Health: Association for Weight Management and Obesity Prevention; NAASO, The Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Obesity 15:1061–1067CrossRefPubMed
23.
Zurück zum Zitat Mora S, Cook N, Buring JE, Ridker PM, Lee IM (2007) Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circulation 116:2110–2118CrossRefPubMed Mora S, Cook N, Buring JE, Ridker PM, Lee IM (2007) Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circulation 116:2110–2118CrossRefPubMed
24.
Zurück zum Zitat Dunstan DW, Zimmet PZ, Welborn TA et al (2002) The rising prevalence of diabetes and impaired glucose tolerance. Diab Care 25:829–834CrossRef Dunstan DW, Zimmet PZ, Welborn TA et al (2002) The rising prevalence of diabetes and impaired glucose tolerance. Diab Care 25:829–834CrossRef
25.
Zurück zum Zitat Chiolero A, Faeh D, Paccaud F, Cornuz J (2008) Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr 87:801–809PubMed Chiolero A, Faeh D, Paccaud F, Cornuz J (2008) Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr 87:801–809PubMed
26.
Zurück zum Zitat Hu FB, van Dam RM, Liu S (2001) Diet and risk of type II diabetes: the role of types of fat and carbohydrate. Diabetologia 44:805–817CrossRefPubMed Hu FB, van Dam RM, Liu S (2001) Diet and risk of type II diabetes: the role of types of fat and carbohydrate. Diabetologia 44:805–817CrossRefPubMed
27.
Zurück zum Zitat Chida Y, Hamer M (2008) An association of adverse psychosocial factors with diabetes mellitus: a meta-analytic review of longitudinal cohort studies. Diabetologia 51:2168–2178CrossRefPubMed Chida Y, Hamer M (2008) An association of adverse psychosocial factors with diabetes mellitus: a meta-analytic review of longitudinal cohort studies. Diabetologia 51:2168–2178CrossRefPubMed
28.
Zurück zum Zitat Geyer S, Hemstrom O, Peter R, Vagero D (2006) Education, income, and occupational class cannot be used interchangeably in social epidemiology. Empirical evidence against a common practice. J Epidemiol Community Health 60:804–810CrossRefPubMed Geyer S, Hemstrom O, Peter R, Vagero D (2006) Education, income, and occupational class cannot be used interchangeably in social epidemiology. Empirical evidence against a common practice. J Epidemiol Community Health 60:804–810CrossRefPubMed
29.
Zurück zum Zitat Winkleby MA, Jatulis DE, Frank E, Fortmann SP (1992) Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease. Am J Public Health 82:816–820CrossRefPubMed Winkleby MA, Jatulis DE, Frank E, Fortmann SP (1992) Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease. Am J Public Health 82:816–820CrossRefPubMed
30.
Zurück zum Zitat Maty SC, Everson-Rose SA, Haan MN, Raghunathan TE, Kaplan GA (2005) Education, income, occupation, and the 34-year incidence (1965–99) of type 2 diabetes in the Alameda County Study. Int J Epidemiol 34:1274–1281CrossRefPubMed Maty SC, Everson-Rose SA, Haan MN, Raghunathan TE, Kaplan GA (2005) Education, income, occupation, and the 34-year incidence (1965–99) of type 2 diabetes in the Alameda County Study. Int J Epidemiol 34:1274–1281CrossRefPubMed
31.
Zurück zum Zitat Kristal AR, Peters U, Potter JD (2005) Is it time to abandon the food frequency questionnaire? Cancer Epidemiol Biomark Prev 14:2826–2828CrossRef Kristal AR, Peters U, Potter JD (2005) Is it time to abandon the food frequency questionnaire? Cancer Epidemiol Biomark Prev 14:2826–2828CrossRef
32.
Zurück zum Zitat Hafeman DM, Schwartz S (2009) Opening the black box: a motivation for the assessment of mediation. Int J Epidemiol 38:838–845CrossRefPubMed Hafeman DM, Schwartz S (2009) Opening the black box: a motivation for the assessment of mediation. Int J Epidemiol 38:838–845CrossRefPubMed
33.
Zurück zum Zitat Kaufman JS, MacLehose RF, Kaufman S (2004) A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation. Epidemiol Perspect Innov 1:4CrossRefPubMed Kaufman JS, MacLehose RF, Kaufman S (2004) A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation. Epidemiol Perspect Innov 1:4CrossRefPubMed
Metadaten
Titel
Health behaviours, socioeconomic status and diabetes incidence: the Australian Diabetes Obesity and Lifestyle Study (AusDiab)
verfasst von
E. D. Williams
R. J. Tapp
D. J. Magliano
J. E. Shaw
P. Z. Zimmet
B. F. Oldenburg
Publikationsdatum
01.12.2010
Verlag
Springer-Verlag
Erschienen in
Diabetologia / Ausgabe 12/2010
Print ISSN: 0012-186X
Elektronische ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-010-1888-4

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