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Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Relative contribution of overweight and obesity to rising public hospital in-patient expenditure in South Australia

Allison Larg A D , John R. Moss B and Nicola Spurrier C
+ Author Affiliations
- Author Affiliations

A Central Adelaide Local Health Network, Royal Adelaide Hospital, 130/136 North Terrace, Adelaide, SA 5000, Australia.

B The University of Adelaide, School of Public Health, North Terrace, Adelaide, SA 5000, Australia. Email: john.moss@adelaide.edu.au

C Public Health Services, SA Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia. Email: nicola.spurrier@sa.gov.au

D Corresponding author. Email: allison.larg@sa.gov.au

Australian Health Review 43(2) 148-156 https://doi.org/10.1071/AH17147
Submitted: 26 June 2017  Accepted: 13 November 2017   Published: 22 February 2018

Abstract

Objective Arguments to fund obesity prevention have often focused on the growing hospital costs of associated diseases. However, the relative contribution of overweight and obesity to public hospital expenditure growth is not well understood. This paper examines the effect of overweight and obesity on acute public hospital in-patient expenditure in South Australia over time compared with other expenditure drivers.

Methods Annual inflation-adjusted acute public admitted expenditure attributable to a high body mass index was estimated for 2007–08 and 2011–12 and compared with other expenditure drivers.

Results Expenditure attributable to overweight and obesity increased by A$45 million, from 4.7% to 5.4% of total acute public in-patient expenditure. This increase accounted for 7.8% of the A$583 million total expenditure growth, whereas the largest component of total growth (62.4%) was a real increase in the average cost per separation.

Conclusions The relatively minor contribution of overweight and obesity to expenditure growth over the time period examined invites reflection on arguments to boost preventive spending that centre upon reducing hospital costs. These arguments may inadvertently detract attention from the considerable health and social burdens of overweight and obesity and from unrelated sources of expenditure growth that reduce opportunities for state governments to fund obesity prevention programs despite their comparative benefits to population health.

What is known about the topic? Stand-alone estimates suggest that overweight and obesity are placing a considerable financial burden on the Australian public healthcare system.

What does this paper add? Our findings challenge common perceptions about the relative importance of overweight and obesity in the context of rising public in-patient expenditure in Australia.

What are the implications for practitioners? Consistent serial estimates of overweight- and obesity-attributable expenditure enable its tracking and comparison with other potentially controllable expenditure drivers that may also warrant attention. Explicit consideration of population health trade-offs in expenditure-related decisions, including in enterprise bargaining, would enhance transparency in priority setting.

Additional keywords: healthcare expenditure growth, population attributable fraction.


References

[1]  Long DA, Reed R, Lehman G. The cost of lifestyle health risks: obesity. J Occup Environ Med 2006; 48 244–51.
The cost of lifestyle health risks: obesity.Crossref | GoogleScholarGoogle Scholar |

[2]  Oster G, Edelsberg J, O’Sullivan A, Thompson D. The clinical and economic burden of obesity in a managed care setting. Am J Manag Care 2000; 6 681–9.
| 1:STN:280:DC%2BD3M%2FgsFSnsg%3D%3D&md5=0d4503d663d9b17792d7e267964a4234CAS |

[3]  Moffatt E, Shack LG, Petz GJ, Sauve JK, Hayward K, Colman R. The cost of obesity and overweight in 2005: a case study of Alberta, Canada. Can J Public Health 2011; 102 144–8.

[4]  Colagiuri S, Lee CMY, Colagiuri R, Magliano DJ, Shaw JE, Zimmet PZ, Caterson ID. The cost of overweight and obesity in Australia. Med J Aust 2010; 192 260–4.

[5]  Tucker DM, Palmer AJ, Valentine WJ, Roze S, Ray JA. Counting the costs of overweight and obesity: modeling clinical and cost outcomes. Curr Med Res Opin 2006; 22 575–86.
Counting the costs of overweight and obesity: modeling clinical and cost outcomes.Crossref | GoogleScholarGoogle Scholar |

[6]  Mycek S. The dire cost of obesity. Mater Manag Health Care 2004; 13 18–21.

[7]  Allison DB, Zannolli R, Narayan KM. The direct health care costs of obesity in the United States. Am J Public Health 1999; 89 1194–9.
The direct health care costs of obesity in the United States.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1MzmtFGksw%3D%3D&md5=e583aa5b714ba7fc6d6e7e1b57f2d369CAS |

[8]  Schmid A, Schneider H, Golay A, Keller U. Economic burden of obesity and its comorbidities in Switzerland. Soz Praventivmed 2005; 50 87–94.
Economic burden of obesity and its comorbidities in Switzerland.Crossref | GoogleScholarGoogle Scholar |

[9]  Withrow D, Alter DA. The economic burden of obesity worldwide: a systematic review of the direct costs of obesity. Obes Rev 2011; 12 131–41.
The economic burden of obesity worldwide: a systematic review of the direct costs of obesity.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3M7jslGluw%3D%3D&md5=f68bf3934cd97f35a905dbff36804eccCAS |

[10]  von Lengerke T, Krauth C. Economic costs of adult obesity: a review of recent European studies with a focus on subgroup-specific costs. Maturitas 2011; 69 220–9.
Economic costs of adult obesity: a review of recent European studies with a focus on subgroup-specific costs.Crossref | GoogleScholarGoogle Scholar |

[11]  Trasande L, Liu Y, Fryer G, Weitzman M. Effects of childhood obesity on hospital care and costs, 1999–2005. Health Aff (Millwood) 2009; 28 w751–60.
Effects of childhood obesity on hospital care and costs, 1999–2005.Crossref | GoogleScholarGoogle Scholar |

[12]  Lakdawalla DN, Goldman DP, Shang B. The health and cost consequences of obesity among the future elderly. Health Aff (Millwood) 2005; 24 W5R30–41.
The health and cost consequences of obesity among the future elderly.Crossref | GoogleScholarGoogle Scholar |

[13]  Raebel MA, Malone DC, Conner DA, Xu S, Porter JA, Lanty FA. Health services use and health care costs of obese and nonobese individuals. Arch Intern Med 2004; 164 2135–40.
Health services use and health care costs of obese and nonobese individuals.Crossref | GoogleScholarGoogle Scholar |

[14]  Wenig CM. The impact of BMI on direct costs in children and adolescents: empirical findings for the German healthcare system based on the KiGGS-study. Eur J Health Econ 2012; 13 39–50.
The impact of BMI on direct costs in children and adolescents: empirical findings for the German healthcare system based on the KiGGS-study.Crossref | GoogleScholarGoogle Scholar |

[15]  Trasande L, Chatterjee S. The impact of obesity on health service utilization and costs in childhood. Obesity (Silver Spring) 2009; 17 1749–54.
The impact of obesity on health service utilization and costs in childhood.Crossref | GoogleScholarGoogle Scholar |

[16]  Müller-Riemenschneider F, Reinhold T, Berghofer A, Willich S. Health-economic burden of obesity in Europe. Eur J Epidemiol 2008; 23 499–509.
Health-economic burden of obesity in Europe.Crossref | GoogleScholarGoogle Scholar |

[17]  Adams KF, Schatzkin A, Harris TB, Kipnis V, Mouw T, Ballard-Barbash R, Hollenbeck A, Leitzmann MF. Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med 2006; 355 763–78.
Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xos1Kmt70%3D&md5=47aa304a2b75700fd41d50dcbb5e9535CAS |

[18]  Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual medical spending attributable to obesity: payer- and service-specific estimates. Health Aff (Millwood) 2009; 28 w822–31.
Annual medical spending attributable to obesity: payer- and service-specific estimates.Crossref | GoogleScholarGoogle Scholar |

[19]  Chenoweth & Associates Inc. The economic costs of overweight, obesity and physical inactivity in California adults – 2006: a study for the California Center for Public Health Advocacy. New Bern, NC: California Center for Public Health Advocacy; 2009. Available at: https://saferoutescalifornia.files.wordpress.com/2012/06/costofobesity_brief.pdf [verified 8 October 2017].

[20]  Access Economics. The growing cost of obesity 2008: three years on. Diabetes Australia; 2008. Available at: https://static.diabetesaustralia.com.au/s/fileassets/diabetes-australia/7b855650-e129-4499-a371-c7932f8cc38d.pdf [verified 8 October 2017].

[21]  Anis AH, Zhang W, Bansback N, Guh DP, Amarsi Z, Birmingham CL. Obesity and overweight in Canada: an updated cost-of-illness study. Obes Rev 2010; 11 31–40.
Obesity and overweight in Canada: an updated cost-of-illness study.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3cnpsFSqtw%3D%3D&md5=b0a19eea33f3857565f95bd69e7b207bCAS |

[22]  Thorpe KE, Florence CS, Howard DH, Joski P. The impact of obesity on rising medical spending. Health Aff (Millwood) 2004; W4-480–486.
The impact of obesity on rising medical spending.Crossref | GoogleScholarGoogle Scholar |

[23]  Lehnert T, Streltchenia P, Konnopka A, Riedel-Heller SG, Konig HH. Health burden and costs of obesity and overweight in Germany: an update. Eur J Health Econ 2015; 16 957–67.
Health burden and costs of obesity and overweight in Germany: an update.Crossref | GoogleScholarGoogle Scholar |

[24]  Allen L, Thorpe K, Joski P. The effect of obesity and chronic conditions on Medicare spending, 1987–2011. Pharmacoeconomics 2015; 33 691–7.
The effect of obesity and chronic conditions on Medicare spending, 1987–2011.Crossref | GoogleScholarGoogle Scholar |

[25]  Thorpe KE. Treated disease prevalence and spending per treated case drove most of the growth in health care spending in 1987–2009. Health Aff (Millwood) 2013; 32 851–8.
Treated disease prevalence and spending per treated case drove most of the growth in health care spending in 1987–2009.Crossref | GoogleScholarGoogle Scholar |

[26]  Katzmarzyk PT, Janssen I. The economic costs associated with physical inactivity and obesity in Canada: an update. Can J Appl Physio 2004; 29 90–115.

[27]  Organization for Economic Co-operation and Development (OECD). Health at a glance 2015. Paris: OECD Publishing; 2015. Available at: http://www.oecd-ilibrary.org/docserver/download/8115071e.pdf?expires=1507441463&id=id&accname=guest&checksum=5127F855B36B3194CBC0641C25727303 [verified 8 October 2017].

[28]  Australian Bureau of Statistics (ABS). National Health Survey: first results, 2014–15, data cubes: Table 2.3 Summary health characteristics, 2014–15 – states and territories, proportion of persons. 2015. Available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/4364.0.55.0012014-15?OpenDocument [verified 8 October 2017].

[29]  Duckett SJ, Breadon P, Weidmann B, Nicola I. Controlling costly care: a billion dollar hospital opportunity. Melbourne: Grattan Insttute; 2014. Available at: https://grattan.edu.au/wp-content/uploads/2014/03/806-costly-care.pdf [verified 8 October 2017].

[30]  Australian Institute of Health and Welfare (AIHW). Australian hospital statistics 20072008. Catalogue no. HSE 71. Canberra: AIHW; 2009. Available at: http://webarchive.nla.gov.au/gov/20170819053241/http://www.aihw.gov.au/publication-detail/?id=6442468249 [verified 8 October 2017].

[31]  Australian Institute of Health and Welfare (AIHW). Australian hospital statistics 2011–12. Catalogue no. HSE 134. Canberra: AIHW; 2013. Available at: http://webarchive.nla.gov.au/gov/20170816110254/http://www.aihw.gov.au/publication-detail/?id=60129543133 [verified 8 October 2017].

[32]  Ezzati M, Lopez A, Rodgers A, Murray CJL, editors. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. Vol. 1 and 2. Geneva: World Health Organization; 2004.

[33]  James W, Jackson-Leach R, Ni Mhurchu C, Kalamara E, Shayeghi M, Rigby NJ, Nishida C, Rodgers A. Overweight and obesity (high body mass index). In: Ezzati M, Lopez A, Rodgers A, Murray CJL, editors. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. Geneva: World Health Organization; 2004. pp. 497–596.

[34]  Australian Bureau of Statistics (ABS). National Health Survey 2007-2008, Expanded Confidentialised Unit Record File Reissue 1, ABS Remote Access Data Laboratory (RADL), ABS; 2009 Findings based on use of ABS Microdata.

[35]  Australian Bureau of Statistics (ABS). Australian Health Survey: Updated Results, 2011–2012, ‘Table 5: Body Mass Index by age and sex – Australia, states and territories’, data cube: Excel spreadsheet, Catalogue no. 4364.0.55.003. Canberra: ABS; 2013. Available at http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/4364.0.55.0032011-2012?OpenDocument [verified 13 January 2018].

[36]  Begg S, Vos T, Barker B, Stevenson C, Stanley K, Lopez A. The burden of disease and injury in Australia 2003. Catalogue no. PHE 82. Canberra: Australian Institute of Health and Welfare; 2007.

[37]  Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health 2009; 9 88
The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[38]  Australia and New Zealand Dialysis and Transplant Registry. ANZDATA registry report, appendix II: Australia. Adelaide: ANZDATA; 2009. Available at: http://www.anzdata.org.au/anzdata/AnzdataReport/30thReport/AppendixII.pdf [verified 8 October 2017].

[39]  Asia Pacific Cohort Studies Collaboration The burden of overweight and obesity in the Asia Pacific region. Obes Rev 2007; 8 191–6.
The burden of overweight and obesity in the Asia Pacific region.Crossref | GoogleScholarGoogle Scholar |

[40]  Kendall BJ, Wilson LF, Olsen CM, Webb PM, Neale RE, Bain CJ, Whiteman DC. Cancers in Australia in 2010 attributable to overweight and obesity. Aust N Z J Public Health 2015; 39 452–7.
Cancers in Australia in 2010 attributable to overweight and obesity.Crossref | GoogleScholarGoogle Scholar |

[41]  World Cancer Research Fund. Food, nutrition, physical activity, and the prevention of cancer: a global perspective. Washington DC: American Institute for Cancer Research; 2007.

[42]  World Cancer Research Fund. Continuous update project report: food, nutrition, physical activity, and the prevention of breast cancer. Washington DC: American Institute for Cancer Research; 2010.

[43]  World Cancer Research Fund. Continuous update project report: food, nutrition, physical activity, and the prevention of colorectal cancer. Washington DC: American Institute for Cancer Research; 2011.

[44]  World Cancer Research Fund. Continuous update project report: food, nutrition, physical activity, and the prevention of pancreatic cancer. Washington DC: American Institute for Cancer Research; 2012.

[45]  World Cancer Research Fund. Continuous update project report: food, nutrition, physical activity, and the prevention of endometrial cancer. Washington DC: American Institute for Cancer Research; 2013.

[46]  World Cancer Research Fund. Continuous update project report: food, nutrition, physical activity, and the prevention of ovarian cancer. Washington DC: American Institute for Cancer Research; 2014.

[47]  Maredza M, Bertram MY, Gómez-Olivé XF, Tollman SM. Burden of stroke attributable to selected lifestyle risk factors in rural South Africa. BMC Public Health 2016; 16 143
Burden of stroke attributable to selected lifestyle risk factors in rural South Africa.Crossref | GoogleScholarGoogle Scholar |

[48]  Kelly C, Pashayan N, Munisamy S, Powles JW. Mortality attributable to excess adiposity in England and Wales in 2003 and 2015: explorations with a spreadsheet implementation of the comparative risk assessment methodology. Popul Health Metr 2009; 7 11
Mortality attributable to excess adiposity in England and Wales in 2003 and 2015: explorations with a spreadsheet implementation of the comparative risk assessment methodology.Crossref | GoogleScholarGoogle Scholar |

[49]  Knight LHR, Martin C, Mortimer L. Impact of changes in diabetes coding on Queensland hospital principal diagnosis morbidity data. Brisbane: Health Statistics Centre, Queensland Health; 2011. Available at: https://www.health.qld.gov.au/hsu/tech_report/techreport_9.pdf [verified 8 October 2017].

[50]  Australian Bureau of Statistics (ABS). Consumer price index, Australia. ‘Table 9. CPI: Group, Sub-group and Expenditure Class, Index Numbers by Capital City’, time series spreadsheet, Catalogue no. 6401.0. Canberra: ABS; 2016. Available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/second+level+view?ReadForm&prodno=6401.0&viewtitle=Consumer%20Price%20Index,%20Australia~Dec%202016~Previous~25/01/2017&&tabname=Past%20Future%20Issues&prodno=6401.0&issue=Dec%202016&num=&view=& [verified 13 January 2018].

[51]  Australian Consortium for Classification Development. (2017). The international statistical classification of diseases and related health problems, tenth revision, Australian modification (ICD-10-AM/ACHI/ACS) (Tenth ed.). Darlinghurst, NSW: Independent Hospital Pricing Authority

[52]  SA Health. The South Australian Burden of Disease Study. Available at: http://www.sahealth.sa.gov.au/wps/wcm/connect/public+content/sa+health+internet/about+us/health+statistics/sa+burden+of+disease+study [verified 8 October 2017].

[53]  Independent Hospital Pricing Authority. National hospital cost data collection. Australian cost weights for AR-DRG Version 6.0x, round 16 cost report, public hospitals, South Australia. Canberra: Commonwealth of Australia; 2014.

[54]  Segal L, Carter R, Zimmer P. The cost of obesity: an Australian perspective. Pharmacoeconomics 1994; 5 45–52.
The cost of obesity: an Australian perspective.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK2cbgvVOgtg%3D%3D&md5=d174dbd05bbbd308ae017d5fa18974d9CAS |

[55]  Popkin BM, Kim S, Rusev ER, Du S, Zizza C. Measuring the full economic costs of diet, physical activity and obesity-related chronic diseases. Obes Rev 2006; 7 271–93.
Measuring the full economic costs of diet, physical activity and obesity-related chronic diseases.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD28vksFakug%3D%3D&md5=fd8155b02fb6feb496598ab91884f062CAS |

[56]  Zhao W, Zhai Y, Hu J, Wang J, Yang Z, Kong L, Chen C. Economic burden of obesity-related chronic diseases in mainland China. Obes Rev 2008; 9 62–7.
Economic burden of obesity-related chronic diseases in mainland China.Crossref | GoogleScholarGoogle Scholar |

[57]  Colditz GA. Economic costs of obesity. Am J Clin Nutr 1992; 55 503S–7S.
| 1:STN:280:DyaK387isFamtQ%3D%3D&md5=4d9eea626706fdb57784b93751755947CAS |

[58]  National Audit Office. Tackling obesity in England. London: The Stationery Office; 2001.

[59]  National Health and Medical Research Council (NHMRC). Acting on Australia’s weight: a strategic plan for the prevention of overweight and obesity. Canberra: NHMRC; 1997.

[60]  Sander B, Bergemann R. Economic burden of obesity and its complications in Germany. Eur J Health Econ 2003; 4 248–53.
Economic burden of obesity and its complications in Germany.Crossref | GoogleScholarGoogle Scholar |

[61]  Birmingham CL, Muller JL, Palepu A, Spinelli JJ, Anis AH. The cost of obesity in Canada. CMAJ 1999; 160 483–8.
| 1:STN:280:DyaK1M7otFejtw%3D%3D&md5=f1b66e4ceaf08bf23a51867f09d340d7CAS |

[62]  Australian Bureau of Statistics (ABS). Australian Historical Population Statistics, 2014, ‘Table 2.10 Population(a)(b), age and sex, SA, 30 June, 1901 onwards’, data cube: Excel spreadsheet, Catalogue no. 3105.0.65.001. Canberra: ABS; 2014. Available from http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3105.0.65.0012014?OpenDocument [verified 14 January 2018].

[63]  Department of Planning. Transport and Infrastructure (DPTI). Age-Sex Population Projections by Statistical Local Area, 2011-2031, February 2016 release. Adelaide: Government of South Australia; 2016. Available from https://www.saplanningportal.sa.gov.au/population_projections_and_demographics#small-area-population-projections-2011-2031 [verified 14 January 2018].

[64]  Roehrig CS, Rousseau DM. The growth in cost per case explains far more of US health spending increases than rising disease prevalence. Health Aff (Millwood) 2011; 30 1657–63.
The growth in cost per case explains far more of US health spending increases than rising disease prevalence.Crossref | GoogleScholarGoogle Scholar |

[65]  Buchmueller TC, Johar M. Obesity and health expenditures: evidence from Australia. Econ Hum Biol 2015; 17 42–58.
Obesity and health expenditures: evidence from Australia.Crossref | GoogleScholarGoogle Scholar |

[66]  Vincent HK, Vincent KR. Obesity and inpatient rehabilitation outcomes following knee arthroplasty: a multicenter study. Obesity (Silver Spring) 2008; 16 130–6.
Obesity and inpatient rehabilitation outcomes following knee arthroplasty: a multicenter study.Crossref | GoogleScholarGoogle Scholar |

[67]  Gendall KA, Raniga S, Kennedy R, Frizelle FA. The impact of obesity on outcome after major colorectal surgery. Dis Colon Rectum 2007; 50 2223–37.
The impact of obesity on outcome after major colorectal surgery.Crossref | GoogleScholarGoogle Scholar |

[68]  Ettaro L, Songer T, Zhang P, Engelgau M. Cost-of-illness studies in diabetes mellitus. Pharmacoeconomics 2004; 22 149–64.
Cost-of-illness studies in diabetes mellitus.Crossref | GoogleScholarGoogle Scholar |

[69]  Murray C, Ezzati M, Lopez A, Rodgers A, Vander Hoorn S. Comparative quantification of health risks: conceptual framework and methodological issues. In: Ezzati M, Lopez A, Rodgers A, Murray CJL, editors. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. Geneva: World Health Organization; 2004. pp. 1–38.

[70]  Eide GE, Heuch I. Attributable fractions: fundamental concepts and their visualization. Stat Methods Med Res 2001; 10 159–93.
Attributable fractions: fundamental concepts and their visualization.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD38%2FhvFeqsw%3D%3D&md5=4251bd1fa5f49eed26400bd49f590da5CAS |

[71]  Walter SD. The estimation and interpretation of attributable risk in health research. Biometrics 1976; 32 829–49.
The estimation and interpretation of attributable risk in health research.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaE2s%2FovVWmsQ%3D%3D&md5=5185ad682476b8e17997926e743a18eaCAS |

[72]  Steenland K, Armstrong B. An overview of methods for calculating the burden of disease due to specific risk factors. Epidemiology 2006; 17 512–9.
An overview of methods for calculating the burden of disease due to specific risk factors.Crossref | GoogleScholarGoogle Scholar |

[73]  Greenland S. Bias in methods for deriving standardized morbidity ratio and attributable fraction estimates. Stat Med 1984; 3 131–41.
Bias in methods for deriving standardized morbidity ratio and attributable fraction estimates.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL2c3ntlymtg%3D%3D&md5=4ae35a018c662bfe7821f280b7d993b4CAS |

[74]  Greenland S, Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol 1988; 128 1185–97.
Conceptual problems in the definition and interpretation of attributable fractions.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL1M%2FmtVagtQ%3D%3D&md5=4df4f184a73bc399dd0540581e706a29CAS |

[75]  Ezzati M, Vander Hoorn S, Rodgers A, Lopez AD, Mathers CD, Murray CJ. Estimates of global and regional potential health gains from reducing multiple major risk factors. Lancet 2003; 362 271–80.
Estimates of global and regional potential health gains from reducing multiple major risk factors.Crossref | GoogleScholarGoogle Scholar |

[76]  Australian Health Ministers’ Advisory Council. National strategic framework for chronic conditions. Canberra: Australian Government; 2017. Available at: http://www.health.gov.au/internet/main/publishing.nsf/content/A0F1B6D61796CF3DCA257E4D001AD4C4/$File/National%20Strategic%20Framework%20for%20Chronic%20Conditions.pdf [verified 8 October 2017].

[77]  Hoque ME, Mannan M, Long KZ, Al Mamun A. Economic burden of underweight and overweight among adults in the Asia–Pacific region: a systematic review. Trop Med Int Health 2016; 21 458–69.
Economic burden of underweight and overweight among adults in the Asia–Pacific region: a systematic review.Crossref | GoogleScholarGoogle Scholar |

[78]  Australian Institute of Health and Welfare (AIHW). Weight loss surgery in Australia 2014–15. Catalogue no. HSE186. Canberra: AIHW; 2017. Available at: https://www.aihw.gov.au/getmedia/52999476-6016-456e-8dab-693a329720f7/19104.pdf.aspx?inline=true [verified 8 October 2017].

[79]  Department of Health and Ageing. Round 12 cost weights and peer group report for 2007-08 Canberra: Australian Government; 2009. Available from: http://webarchive.nla.gov.au/gov/20120321232157/http://www.health.gov.au/internet/main/publishing.nsf/Content/Round_12-cost-reports [verified 13 January 2018].

[80]  Vaughan TL, Davis S, Kristal A, Thomas DB. Obesity, alcohol, and tobacco as risk factors for cancers of the esophagus and gastric cardia: adenocarcinoma versus squamous cell carcinoma. Cancer Epidemiol Biomarkers Prev 1995; 4 85–92.
| 1:STN:280:DyaK2M3mtFalug%3D%3D&md5=307cb1303d1c3f4ed8a14d305e02a52dCAS |

[81]  Shore SA. Obesity and asthma: Possible mechanisms. J Allergy Clin Immunol 2008; 121 1087–93.
Obesity and asthma: Possible mechanisms.Crossref | GoogleScholarGoogle Scholar |