M Siahpush1, R Borland, M Scollo. 1. VicHealth Centre for Tobacco Control, Cancer Control Research Institute, The Cancer Council Victoria, 100 Drummond Street, Melbourne, Victoria 3053, Australia. mohammad.siahpush@cancervic.org.au
Abstract
AIM: To examine how household expenditure on food at restaurants, alcohol, gambling and insurance vary between smoking and non-smoking households. DESIGN: Cross sectional survey of households from private dwellings, conducted by the Australian Bureau of Statistics (ABS), using a stratified multistage area sample design. SETTING: Australia, 1998-99. PARTICIPANTS: Nationally representative sample of households (n = 6892). MAIN OUTCOME MEASURES: Expenditure on meals at restaurants, alcohol, alcoholic beverages at licensed premises, gambling, and insurance. RESULTS: The odds of reporting expenditure on restaurant food and health insurance were 20% and 40% smaller for smoking than non-smoking households, respectively. The odds of reporting expenditure on alcohol (not including expenditure at licensed premises), drinking at licensed premises, and gambling were 100%, 50%, and 40% greater for smoking than for non-smoking households, respectively. CONCLUSIONS: The study suggests that smokers are more likely to engage in risky behaviour. Implementing smoking bans in licensed premises and gambling venues can provide an opportunity to reduce smoking prevalence. Quitting or cutting down smoking can provide opportunities for expenditure on other products or services, and enhance standards of living.
AIM: To examine how household expenditure on food at restaurants, alcohol, gambling and insurance vary between smoking and non-smoking households. DESIGN: Cross sectional survey of households from private dwellings, conducted by the Australian Bureau of Statistics (ABS), using a stratified multistage area sample design. SETTING: Australia, 1998-99. PARTICIPANTS: Nationally representative sample of households (n = 6892). MAIN OUTCOME MEASURES: Expenditure on meals at restaurants, alcohol, alcoholic beverages at licensed premises, gambling, and insurance. RESULTS: The odds of reporting expenditure on restaurant food and health insurance were 20% and 40% smaller for smoking than non-smoking households, respectively. The odds of reporting expenditure on alcohol (not including expenditure at licensed premises), drinking at licensed premises, and gambling were 100%, 50%, and 40% greater for smoking than for non-smoking households, respectively. CONCLUSIONS: The study suggests that smokers are more likely to engage in risky behaviour. Implementing smoking bans in licensed premises and gambling venues can provide an opportunity to reduce smoking prevalence. Quitting or cutting down smoking can provide opportunities for expenditure on other products or services, and enhance standards of living.
Authors: Melanie Wakefield; Mohammad Siahpush; Michelle Scollo; Anita Lal; Andrew Hyland; Kieran McCaul; Caroline Miller Journal: Aust N Z J Public Health Date: 2002-08 Impact factor: 2.939
Authors: Mohammad Siahpush; Melissa Tibbits; Ghada A Soliman; Brandon Grimm; Raees A Shaikh; Molly McCarthy; Neng Wan; Athena K Ramos; Antonia Correa Journal: Tob Control Date: 2017-01-24 Impact factor: 7.552
Authors: Ashleigh Guillaumier; Laura Twyman; Christine Paul; Mohammad Siahpush; Kerrin Palazzi; Billie Bonevski Journal: Int J Environ Res Public Health Date: 2017-02-25 Impact factor: 3.390
Authors: Laura H Oostenbach; Karen E Lamb; Fiona Dangerfield; Maartje P Poelman; Stef Kremers; Lukar Thornton Journal: Public Health Nutr Date: 2020-08-24 Impact factor: 4.022
Authors: Mohammad Siahpush; Raees A Shaikh; Regina Robbins; Melissa Tibbits; Asia Sikora Kessler; Ghada Soliman; Molly McCarthy; Gopal K Singh Journal: BMC Public Health Date: 2016-04-28 Impact factor: 3.295
Authors: Jian Jiu Chen; Sai Yin Ho; Wing Man Au; Man Ping Wang; Tai Hing Lam Journal: Int J Environ Res Public Health Date: 2015-11-13 Impact factor: 3.390