Switches in food and beverage product purchases can reduce greenhouse gas emissions in Australia.

Switching between similar food and beverage products may reduce greenhouse gas emissions (GHGe). Here, using consumer data linked to 23,550 product-specific GHGe values, we estimated annual GHGe attributable to product purchases consumed at home in Australia and calculated reductions from specific switches. Potential changes to mean Health Star Rating, mean energy density and the proportion of ultraprocessed foods purchased were assessed. Approximately 31 million tonnes of GHGe were attributable to products consumed at home in 2019, the three highest contributors of GHGe being 'meat and meat products' (49%), 'dairy' (17%) and 'non-alcoholic beverages' (16%). Switching higher-emission products for 'very similar' lower-emission products could reduce total emissions by 26%. Switches to 'less similar' lower-emission products could lead to a 71% reduction. Switches had little impact on the average Health Star Rating, energy density of purchases and proportion of ultraprocessed foods purchased. Directing manufacturing and marketing towards lower-environmental-impact products and signposting such options to consumers are key.

The social determinants of Aboriginal and Torres Strait Islander adults who do not smoke in regional Australia.

INTRODUCTION: Commercial tobacco use was systematically embedded as a valuable commodity through colonisation that continues to be exploited for profit by the Tobacco Industry. There have been significant declines in current smoking prevalence among Aboriginal and Torres Strait Islander peoples 18 years and over, from 55% in 1994 to 43% in 2018-2019. This paper seeks to better understand smoke-free behaviours, and to systematically quantify associations between a range of SDOH and non-smoking/never-smoking among Aboriginal and Torres Strait Islander adults (≥18) living in regional Australia. OBJECTIVE: To explore the social determinants of health (SDOH) related to non- and never-smoking among Aboriginal and Torres Strait Islander peoples in regional Australia. DESIGN: Cross-sectional analysis of the NATSIHS, weighted to the Aboriginal and Torres Strait Islander adult population living in regional Australia, was conducted. Participants were characterised as people who were current smokers, never-smokers and non-smokers (ex- and never-smokers). The social determinants of health exposures related to socioeconomic position, well-being and access to healthcare. SETTING: Regional Australia is distinct from urban and remote areas, based on the ASGS Remoteness Structure (ABS) 2018-2019. PARTICIPANTS: Aboriginal and Torres Strait Islander adults (≥18 years) who were selected, consented and asked questions about smoking in the National Aboriginal and Torres Strait Islander Health Survey (NATSIHS 2018/19). RESULTS: High income was associated with non-smoking (Prevalence Ratio [PR] = 2.07; 95% CI: 1.66-2.57) and never-smoking (PR = 2.02; 1.46-2.79), as was completing year 10 (non-smoking PR = 1.34; 1.12-1.61 and never-smoking PR = 1.56; 1.20-2.03). Better food security was associated with a higher prevalence of never-smoking (PR = 2.42; 1.48-3.98). Lower psychological distress scores were associated with non-smoking (PR = 1.30; 1.10-1.53) and never-smoking (PR = 1.56; 1.21-2.01). Never-smoking was more frequent in participants reporting no experiences of unfair treatment (PR = 1.59; 1.22-2.06). Having a usual healthcare provider was associated with non-smoking (PR = 1.38; 1.02-1.86). Positive exposure to the SDOH were associated with non- and never-smoking among Aboriginal and Torres Strait Islander adults in regional Australia. Structural and systemic changes to address the SDOH, including discrimination and racism, are expected to accelerate non-smoking behaviours and improve health outcomes for Aboriginal and Torres Strait Islander peoples.

Smoking and quitting characteristics of Aboriginal and Torres Strait Islander women of reproductive age: findings from the Which Way? study.

OBJECTIVE: To describe smoking characteristics, quitting behaviour and other factors associated with longest quit attempt and the use of nicotine replacement therapy (NRT) and stop-smoking medication (SSM) in a population of Indigenous Australian women of reproductive age. DESIGN, SETTING AND PARTICIPANTS: A national cross-sectional survey of Aboriginal and Torres Strait Islander women aged 16-49 years who were smokers or ex-smokers was conducted online during the period July to October 2020. MAIN OUTCOME MEASURES: Quitting experience: attempt to cut down, time since last quit attempt, longest period without smoking, attempt to cut down during last quit attempt, any use of NRT and/or SSM. RESULTS: Most of the 428 participating women (302 [70.6%]) reported using an Aboriginal health service. Younger women (16-20-year-olds) smoked fewer cigarettes daily (24/42 [57.1%], 0-5 cigarettes per day), waited longer to smoke after waking (20/42 [47.6%], > 60 minutes after waking), and were categorised as low smoking dependency compared with those aged 35 years and over. One-third of women (153 [35.7%]) had ever used NRT and/or SSM. A greater proportion of older women (35-49-year-olds) had sustained a quit attempt for years (62/149 [45.6%]) and reported trying NRT and/or SSM (78/149 [52.4%]) than women in younger age groups. Quitting suddenly rather than gradually was significantly associated with sustained abstinence (prevalence ratio, 1.27 [95% CI, 1.10-1.48]). Among women who had never used NRT or SSM, most (219/275 [79.6%]) reported reasons for this in the category of attitudes and beliefs. NRT and SSM use was also more likely among women who were confident talking to their doctor about quitting (odds ratio, 2.50 [95% CI, 1.23-5.10]) and those who received most of their information from a health professional (odds ratio, 1.71 [95% CI, 1.11-2.63]). CONCLUSION: Aboriginal and Torres Strait Islander women want to quit smoking and are making attempts to quit. Quitting suddenly, rather than reducing cigarette consumption, is associated with increased sustained abstinence. Health providers can enable access and uptake of NRT and/or SSM and should recognise that NRT and/or SSM use may change over time. Consistent messaging, frequent offers of smoking cessation support, and access to a range of smoking cessation supports should be provided to Aboriginal and Torres Strait Islander women to enable them to be smoke-free.

Reflection on modern methods: statistical, policy and ethical implications of using age-standardized health indicators to quantify inequities.

Methods for calculating health indicators profoundly influence understanding of and action on population health and inequities. Age-standardization can be useful and is commonly applied to account for differences in age structures when comparing health indicators across groups. Age-standardized rates have well-acknowledged limitations, including that they are relative indices for comparison, and not accurate measures of actual rates where the age structures of groups diverge. This paper explores these limitations, and demonstrates alternative approaches through a case study quantifying mortality rates within the Aboriginal and Torres Strait Islander (Indigenous) population of Australia and inequities compared with the non-Indigenous population, over 2001-16. Applying the Australian Standard Population, the Aboriginal and Torres Strait Islander age-standardized mortality rate was more than double the crude mortality rate in 2001 and 2016, inflated through high weighting of older age groups. Despite divergent population age structures, age-standardized mortality rates remain a key policy metric for measuring progress in reducing Indigenous-non-Indigenous inequities in Australia. Focusing on outcomes age-standardized to the total population can obscure inequities, and denies Aboriginal and Torres Strait Islander peoples and communities valid, actionable information about their health and well-being. Age-specific statistics convey the true magnitude of health risks and highlight high-risk subgroups. When requiring standardization, standardizing to a population-specific standard (here, an Indigenous standard) generates metrics centred around and reflective of reality for the population of focus, supporting communities' self-determination to identify priorities and informing resource allocation and service delivery. The principles outlined here apply across populations, including Indigenous and other populations internationally.