Skip to main content
Top
Published in: BMC Public Health 1/2014

Open Access 01-12-2014 | Research article

Chronic disease burden associated with overweight and obesity in Ireland: the effects of a small BMI reduction at population level

Authors: Karen Kearns, Anne Dee, Anthony P Fitzgerald, Edel Doherty, Ivan J Perry

Published in: BMC Public Health | Issue 1/2014

Login to get access

Abstract

Background

Overweight and obesity prevalence has risen dramatically in recent decades. While it is known that overweight and obesity is associated with a wide range of chronic diseases, the cumulative burden of chronic disease in the population associated with overweight and obesity is not well quantified. The aims of this paper were to examine the associations between BMI and chronic disease prevalence; to calculate Population Attributable Fractions (PAFs) associated with overweight and obesity; and to estimate the impact of a one unit reduction in BMI on the population prevalence of chronic disease.

Methods

A cross-sectional analysis of 10,364 adults aged ≥18 years from the Republic of Ireland National Survey of Lifestyle, Attitudes and Nutrition (SLÁN 2007) was performed. Using binary regression, we examined the relationship between BMI and the selected chronic diseases. In further analyses, we calculated PAFs of selected chronic diseases attributable to overweight and obesity and we assessed the impact of a one unit reduction in BMI on the overall burden of chronic disease.

Results

Overweight and obesity prevalence was higher in men (43.0% and 16.1%) compared to women (29.2% and 13.4%), respectively. The most prevalent chronic conditions were lower back pain, hypertension, and raised cholesterol. Prevalence of chronic disease generally increased with increasing BMI. Compared to normal weight persons, the strongest associations were found in obese women for diabetes (RR 3.9, 95% CI 2.5-6.3), followed by hypertension (RR 2.9, 95% CI 2.3-3.6); and in obese men for hypertension (RR 2.1, 95% CI 1.6-2.7), followed by osteoarthritis (RR 2.0, 95% CI 1.2-3.2). Calculated PAFs indicated that a large proportion of chronic disease is attributable to increased BMI, most noticeably for diabetes in women (42%) and for hypertension in men (30%). Overall, a one unit decrease in BMI results in 26 and 28 fewer cases of chronic disease per 1,000 men and women, respectively.

Conclusions

Overweight and obesity are major contributors to the burden of chronic disease in the population. The achievement of a relatively modest reduction in average BMI in the population has the potential to make a significant impact on the burden of chronic disease.
Appendix
Available only for authorised users
Literature
2.
go back to reference Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M: Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011, 378: 815-825.CrossRefPubMed Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M: Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011, 378: 815-825.CrossRefPubMed
3.
go back to reference Jones A, Bentham G, Foster C, Hillsdon M, Panter J: Tackling Obesities: Future Choices–Obesogenic Environments–Evidence Review. 2007, London: Government Office for Science Jones A, Bentham G, Foster C, Hillsdon M, Panter J: Tackling Obesities: Future Choices–Obesogenic Environments–Evidence Review. 2007, London: Government Office for Science
4.
go back to reference Rodgers A, Vaughan P, Prentice T, Edejer T, Evans D, Lowe J: World health report 2002: reducing risks, promoting healthy life. 2002, Geneva, Switzerland: World Health Organization Rodgers A, Vaughan P, Prentice T, Edejer T, Evans D, Lowe J: World health report 2002: reducing risks, promoting healthy life. 2002, Geneva, Switzerland: World Health Organization
5.
go back to reference World Health Organization: Global Status Report on Noncommunicable Diseases 2010. 2011, Geneva, Switzerland: World Health Organization World Health Organization: Global Status Report on Noncommunicable Diseases 2010. 2011, Geneva, Switzerland: World Health Organization
6.
go back to reference Finkelstein EA, Khavjou OA, Thompson H, Trogdon JG, Pan L, Sherry B, Dietz W: Obesity and severe obesity forecasts through 2030. Am J Prevent Med. 2012, 42: 563-570.CrossRef Finkelstein EA, Khavjou OA, Thompson H, Trogdon JG, Pan L, Sherry B, Dietz W: Obesity and severe obesity forecasts through 2030. Am J Prevent Med. 2012, 42: 563-570.CrossRef
7.
go back to reference Ezzati M, Lopez AD, Rodgers A, Murray CJ: Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. 2004, Geneva, Switzerland: World Health Organization Ezzati M, Lopez AD, Rodgers A, Murray CJ: Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. 2004, Geneva, Switzerland: World Health Organization
8.
go back to reference Anis AH, Zhang W, Bansback N, Guh D, Amarsi Z, Birmingham C: Obesity and overweight in Canada: an updated cost-of-illness study. Obes Rev. 2010, 11: 31-40.CrossRefPubMed Anis AH, Zhang W, Bansback N, Guh D, Amarsi Z, Birmingham C: Obesity and overweight in Canada: an updated cost-of-illness study. Obes Rev. 2010, 11: 31-40.CrossRefPubMed
9.
go back to reference Costa-Font J, Gil J: Obesity and the incidence of chronic diseases in Spain: a seemingly unrelated probit approach. Econ Hum Biol. 2005, 3: 188-214.CrossRefPubMed Costa-Font J, Gil J: Obesity and the incidence of chronic diseases in Spain: a seemingly unrelated probit approach. Econ Hum Biol. 2005, 3: 188-214.CrossRefPubMed
10.
go back to reference Visscher TL, Seidell JC: The public health impact of obesity. Ann Rev Publ Health. 2001, 22: 355-375.CrossRef Visscher TL, Seidell JC: The public health impact of obesity. Ann Rev Publ Health. 2001, 22: 355-375.CrossRef
11.
go back to reference World Health Organization: The world health report 2002: reducing risks, promoting healthy life. World Health Organization. 2002, Geneva: WHO World Health Organization: The world health report 2002: reducing risks, promoting healthy life. World Health Organization. 2002, Geneva: WHO
12.
go back to reference Zhao G, Ford E, Dhingra S, Li C, Strine T, Mokdad A: Depression and anxiety among US adults: associations with body mass index. Int J Obes. 2009, 33: 257-266.CrossRef Zhao G, Ford E, Dhingra S, Li C, Strine T, Mokdad A: Depression and anxiety among US adults: associations with body mass index. Int J Obes. 2009, 33: 257-266.CrossRef
15.
go back to reference StataCorp: Stata statistical software: release 12. 2011, College Station, TX: StataCorp LP StataCorp: Stata statistical software: release 12. 2011, College Station, TX: StataCorp LP
16.
go back to reference Robbins AS, Chao SY, Fonseca VP: What’s the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes. Ann Epidemiol. 2002, 12: 452-454.CrossRefPubMed Robbins AS, Chao SY, Fonseca VP: What’s the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes. Ann Epidemiol. 2002, 12: 452-454.CrossRefPubMed
17.
go back to reference Hanley J: A heuristic approach to the formulas for population attributable fraction. J Epidemiol Commun Health. 2001, 55: 508-514.CrossRef Hanley J: A heuristic approach to the formulas for population attributable fraction. J Epidemiol Commun Health. 2001, 55: 508-514.CrossRef
18.
go back to reference Miettinen OS: Proportion of disease caused or prevented by a given exposure, trait or intervention. Am J Epidemiol. 1974, 99: 325-332.PubMed Miettinen OS: Proportion of disease caused or prevented by a given exposure, trait or intervention. Am J Epidemiol. 1974, 99: 325-332.PubMed
19.
go back to reference Greenland S, Drescher K: Maximum likelihood estimation of the attributable fraction from logistic models. Biometrics. 1993, 49: 865-872.CrossRefPubMed Greenland S, Drescher K: Maximum likelihood estimation of the attributable fraction from logistic models. Biometrics. 1993, 49: 865-872.CrossRefPubMed
20.
go back to reference Zou G: A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004, 159: 702-706.CrossRefPubMed Zou G: A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004, 159: 702-706.CrossRefPubMed
22.
go back to reference Turley M, Tobias M, Paul S: Non‒fatal disease burden associated with excess body mass index and waist circumference in New Zealand adults. Aust New Zealand J Publ health. 2006, 20: 231-237.CrossRef Turley M, Tobias M, Paul S: Non‒fatal disease burden associated with excess body mass index and waist circumference in New Zealand adults. Aust New Zealand J Publ health. 2006, 20: 231-237.CrossRef
23.
go back to reference Kress AM, Hartzel MC, Peterson MR: Burden of disease associated with overweight and obesity among US military retirees and their dependents, aged 38–64, 2003. Prevent Med. 2005, 41: 63-69.CrossRef Kress AM, Hartzel MC, Peterson MR: Burden of disease associated with overweight and obesity among US military retirees and their dependents, aged 38–64, 2003. Prevent Med. 2005, 41: 63-69.CrossRef
24.
go back to reference Jiang Y, Chen Y, Manuel D, Morrison H, Mao Y: Quantifying the impact of obesity category on major chronic diseases in Canada. Sci World J. 2007, 7: 1211-1221.CrossRef Jiang Y, Chen Y, Manuel D, Morrison H, Mao Y: Quantifying the impact of obesity category on major chronic diseases in Canada. Sci World J. 2007, 7: 1211-1221.CrossRef
25.
go back to reference Dal Grande E, Gill T, Wyatt L, Chittleborough CR, Phillips PJ, Taylor AW: Population attributable risk (PAR) of overweight and obesity on chronic diseases: South Australian representative, cross-sectional data, 2004–2006. Obes Res Clin Pract. 2009, 3: 159-168.CrossRef Dal Grande E, Gill T, Wyatt L, Chittleborough CR, Phillips PJ, Taylor AW: Population attributable risk (PAR) of overweight and obesity on chronic diseases: South Australian representative, cross-sectional data, 2004–2006. Obes Res Clin Pract. 2009, 3: 159-168.CrossRef
27.
go back to reference Rose G, Khaw K-T, Marmot M: Rose’s Strategy of Preventive Medicine: The Complete Original Text. 2008, USA: Oxford University PressCrossRef Rose G, Khaw K-T, Marmot M: Rose’s Strategy of Preventive Medicine: The Complete Original Text. 2008, USA: Oxford University PressCrossRef
28.
go back to reference Rupp I, Triemstra M, Boshuizen HC, Jacobi CE, Dinant HJ, van den Bos GA: Selection bias due to non-response in a health survey among patients with rheumatoid arthritis. Eur J Publ Health. 2002, 12: 131-135.CrossRef Rupp I, Triemstra M, Boshuizen HC, Jacobi CE, Dinant HJ, van den Bos GA: Selection bias due to non-response in a health survey among patients with rheumatoid arthritis. Eur J Publ Health. 2002, 12: 131-135.CrossRef
29.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
30.
31.
go back to reference Shiely F, Perry IJ, Lutomski J, Harrington J, Kelleher CC, McGee H, Hayes K: Temporal trends in misclassification patterns of measured and self-report based body mass index categories-findings from three population surveys in Ireland. BMC Public Health. 2010, 10: 560-CrossRefPubMedPubMedCentral Shiely F, Perry IJ, Lutomski J, Harrington J, Kelleher CC, McGee H, Hayes K: Temporal trends in misclassification patterns of measured and self-report based body mass index categories-findings from three population surveys in Ireland. BMC Public Health. 2010, 10: 560-CrossRefPubMedPubMedCentral
32.
go back to reference Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ: Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004, 57: 1096-1103.CrossRefPubMed Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ: Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004, 57: 1096-1103.CrossRefPubMed
33.
go back to reference Kriegsman DM, Penninx BW, Van Eijk JTM, Boeke AJP, Deeg DJ: Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly: a study on the accuracy of patients’ self-reports and on determinants of inaccuracy. J Clin Epidemiol. 1996, 49: 1407-1417.CrossRefPubMed Kriegsman DM, Penninx BW, Van Eijk JTM, Boeke AJP, Deeg DJ: Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly: a study on the accuracy of patients’ self-reports and on determinants of inaccuracy. J Clin Epidemiol. 1996, 49: 1407-1417.CrossRefPubMed
34.
go back to reference Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH: The disease burden associated with overweight and obesity. JAMA. 1999, 282: 1523-1529.CrossRefPubMed Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH: The disease burden associated with overweight and obesity. JAMA. 1999, 282: 1523-1529.CrossRefPubMed
35.
go back to reference Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, Bales VS, Marks JS: Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA. 2003, 289: 76-79.CrossRefPubMed Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, Bales VS, Marks JS: Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA. 2003, 289: 76-79.CrossRefPubMed
36.
go back to reference Paeratakul S, Lovejoy J, Ryan D, Bray G: The relation of gender, race and socioeconomic status to obesity and obesity comorbidities in a sample of US adults. Int J Obes Relat Metabol Disord. 2002, 26: 1205-CrossRef Paeratakul S, Lovejoy J, Ryan D, Bray G: The relation of gender, race and socioeconomic status to obesity and obesity comorbidities in a sample of US adults. Int J Obes Relat Metabol Disord. 2002, 26: 1205-CrossRef
37.
go back to reference Hernán M, Taubman S: Does obesity shorten life? The importance of well-defined interventions to answer causal questions. Int J Obes. 2008, 32: S8-S14.CrossRef Hernán M, Taubman S: Does obesity shorten life? The importance of well-defined interventions to answer causal questions. Int J Obes. 2008, 32: S8-S14.CrossRef
Metadata
Title
Chronic disease burden associated with overweight and obesity in Ireland: the effects of a small BMI reduction at population level
Authors
Karen Kearns
Anne Dee
Anthony P Fitzgerald
Edel Doherty
Ivan J Perry
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2014
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-14-143

Other articles of this Issue 1/2014

BMC Public Health 1/2014 Go to the issue