Joanne Dono1,2, Kerry A Ettridge1,2, Melanie Wakefield3,4, Simone Pettigrew5, John Coveney6, David Roder7, Sarah Durkin3,4, Gary Wittert8,9, Jane Martin10, Caroline L Miller1,11. 1. Health Policy Centre, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA5000, Australia. 2. School of Psychology, The University of Adelaide, Adelaide, Australia. 3. Centre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Australia. 4. School of Psychological Sciences, The University of Melbourne, Melbourne, Australia. 5. Food Policy, The George Institute for Global Health, Sydney, Australia. 6. College of Nursing and Health Sciences, Flinders University, Adelaide, Australia. 7. Cancer Epidemiology and Population Health, University of South Australia, Australia. 8. Freemasons Foundation Centre for Men's Health, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia. 9. Centre for Nutrition and GI Diseases, South Australian Health and Medical Research Institute, Adelaide, Australia. 10. Obesity Policy Coalition and Alcohol and Obesity Policy, Cancer Council Victoria, Melbourne, Australia. 11. School of Public Health, The University of Adelaide, Adelaide, Australia.
Abstract
OBJECTIVE: There are numerous health effects associated with excess sugar-sweetened beverage (SSB) consumption. Interventions aimed at reducing population-level consumption require understanding of the relevant barriers and facilitators. This study aimed to identify the variables with the strongest relationship with intentions to reduce SSB consumption from a suite of variables derived from the literature. DESIGN: Random-digit dialling of landline and mobile phones was used to survey adults using computer-assisted telephone interviews. The outcome variable was 'likelihood of reducing SSB consumption in next 6 months', and the predictor variables were demographics, SSB attitudes and behaviour, health risk perceptions and social/environmental exposure. SETTING: Australia. PARTICIPANTS: A subsample of 1630 regular SSB consumers from a nationally representative sample of 3430 Australian adults (38 % female, 51 % aged 18-45 years, 56 % overweight or obese). RESULTS: Respondents indicated that they were 'not at all' (30·1 %), 'somewhat' (43·9 %) and 'very likely' (25·3 %) to reduce SSB consumption. Multivariate nominal logistic regressions showed that perceiving future health to be 'very much' at risk was the strongest predictor of intention to reduce SSB consumption (OR = 8·1, 95 % CI 1·8, 37·0, P < 0·01). Other significant predictors (P < 0·01) included self-perceptions about too much consumption, habitual consumption, difficulty reducing consumption and likelihood of benefitting from reduced consumption. CONCLUSIONS: Health risk perceptions had the strongest relationship with intentions to reduce consumption. Age and consumption perceptions were also predictors in the multivariate models, whereas social/environmental exposure variables were not. Interventions may seek to incorporate strategies to denormalise consumption practices and increase knowledge about perceived susceptibility to health risks.
OBJECTIVE: There are numerous health effects associated with excess sugar-sweetened beverage (SSB) consumption. Interventions aimed at reducing population-level consumption require understanding of the relevant barriers and facilitators. This study aimed to identify the variables with the strongest relationship with intentions to reduce SSB consumption from a suite of variables derived from the literature. DESIGN: Random-digit dialling of landline and mobile phones was used to survey adults using computer-assisted telephone interviews. The outcome variable was 'likelihood of reducing SSB consumption in next 6 months', and the predictor variables were demographics, SSB attitudes and behaviour, health risk perceptions and social/environmental exposure. SETTING: Australia. PARTICIPANTS: A subsample of 1630 regular SSB consumers from a nationally representative sample of 3430 Australian adults (38 % female, 51 % aged 18-45 years, 56 % overweight or obese). RESULTS: Respondents indicated that they were 'not at all' (30·1 %), 'somewhat' (43·9 %) and 'very likely' (25·3 %) to reduce SSB consumption. Multivariate nominal logistic regressions showed that perceiving future health to be 'very much' at risk was the strongest predictor of intention to reduce SSB consumption (OR = 8·1, 95 % CI 1·8, 37·0, P < 0·01). Other significant predictors (P < 0·01) included self-perceptions about too much consumption, habitual consumption, difficulty reducing consumption and likelihood of benefitting from reduced consumption. CONCLUSIONS: Health risk perceptions had the strongest relationship with intentions to reduce consumption. Age and consumption perceptions were also predictors in the multivariate models, whereas social/environmental exposure variables were not. Interventions may seek to incorporate strategies to denormalise consumption practices and increase knowledge about perceived susceptibility to health risks.
Entities:
Keywords:
Health risk perceptions; Intentions to change; Population survey; Sugar-sweetened beverages
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