[Effect of socioeconomic status on life expectancy From the population to patients]. / Effet du statut socioéconomique sur l'espérance de vie. De la population aux patients.

Life expectancy exists along a social gradient, where those with a high socioeconomic status (SES) live longer. The effect of SES can be explained via behavioral, material, and psychosocial pathways, which can be modified through social and public health policies. The behavioral pathway states that harmful health behaviors, like smoking, are more common among those of lower SES. The material pathway states that SES give access to different health-beneficial resources, like safe housing or healthy food. Finally, the psychosocial pathway states that a low SES causes a lack of autonomy leading to chronic stress. Understanding how SES affects life expectancy has clinical implications and is important to reduce socioeconomic health inequalities at the population level.

L'espérance de vie suit un gradient social, les personnes avec statut socioéconomique (SSE) élevé vivant plus longtemps. L'effet du SSE sur l'espérance de vie peut être expliqué par des mécanismes comportementaux, matériels et psychosociaux, modifiables par des politiques sociales et de santé publique. Ainsi, les comportements délétères pour la santé, comme le tabagisme, sont plus fréquents chez les personnes ayant un SSE relativement bas. D'un point de vue matériel, le SSE détermine l'accès à des ressources comme un logement de bonne qualité ou une alimentation saine. Enfin, d'un point de vue psychosocial, il est associé notamment au stress chronique. Comprendre comment le SSE affecte l'espérance de vie a des implications cliniques et offre des pistes pour réduire les inégalités en matière de santé à l'échelle de la population.

Public health and prevention research within the Medical Research Future Fund.

OBJECTIVE: To explore the amount and type of research funded under relevant Medical Research Future Fund (MRFF) Initiatives that addressed public health and prevention from 2018 to July 2023. METHODS: Projects funded by six MRFF Initiatives, with objectives relevant to public health and public health nominated as "field of research" by >25% of applicants, were evaluated against a set of public health research criteria and were categorised based on levels of prevention. RESULTS: Fifty-seven per cent of 249 funded projects were categorised as public health research. Projects with curative features, focusing on tertiary (32%) and quaternary (4%) prevention, were as common as projects with earlier preventive features, focussed on primordial (7%) and primary (28%) prevention. The Preventive and Public Health Research Initiative had the lowest proportion of public health research (48%) of the six evaluated Initiatives and a dominance of curative (39%) and non-preventive (26%) research over preventive research (30%). CONCLUSION: This study highlighted variable levels of public health research across public-health-relevant MRFF Initiatives and generally low proportions of primary and primordial prevention. A greater emphasis on primordial and primary prevention research in public-health-relevant Initiatives could advance prevention in Australia. IMPLICATIONS FOR PUBLIC HEALTH: There appears to be scope for improvement in the prioritisation of upstream prevention research in public-health-relevant MRFF Initiatives and projects. Addressing this may enhance the benefit of MRFF to Australian public health.

Falls and patterns of physical activity participation over 18 years in the Australian Longitudinal Study on Women's Health.

OBJECTIVE: To explore the relationship between long-term physical activity (PA) participation and falls. METHODS: Participants in the Australian Longitudinal Study of Women's Health born 1946-1951 self-reported amounts of PA every 3 years since 1998 (mean age: 54 years, n=11 796). Latent class analysis described profiles of self-reported PA participation over 18 years. Associations between patterns of PA participation and self-reported falls measured in 2019 were examined using multinomial logistic regression adjusted for directed-acyclic graph-informed potential confounders, with the highly active group as the reference category. RESULTS: Women were grouped into five PA participation profiles. Compared with consistently highly active patterns (maintaining ≥300 min/week, 22%), consistently lower levels of PA<100 min/week (18%), consistently some PA<150 min/week (18%) and decreasing PA but maintaining≥150 min/week (n=3540, 30%) had higher odds of non-injurious falls (odds Ratiolower level (OR): 1.59, 95% CI 1.29 to 1.97; ORsome PA: 1.27, 95% CI 1.04 to 1.55; ORdecreasing activity:1.29, 95% CI 1.02 to 1.63) and injurious falls (ORlow level: 1.32, 95% CI 1.06 to 1.64; ORsome PA: 1.27, 95% CI 1.04 to 1.54; ORdecreasing activity: 1.47, 95% CI 1.18 to 1.83). No association was found between increasing PA (≥150 min/week, 11%) for non-injurious (OR 1.07, 95% CI 0.89 to 1.29) and injurious falls (OR 1.07, 95% CI 0.90 to 1.29). After adjusting for potential confounders, consistently lower levels of PA remained associated with increased non-injurious falls odds (OR1998 survey: 1.40, 95% CI 1.11 to 1.77; OR2016 survey: 1.35, 95% CI 1.07 to 1.71). CONCLUSION: The increased odds of falls among women with consistently lower levels of PA over 18 years supports ongoing participation of 150+ min/week of PA.

Worldwide cohort studies to support healthy ageing research: data availabilities and gaps.

BACKGROUND: Population ageing is a transforming demographic force. To support evidence-based efforts for promoting healthy ageing, a summary of data availabilities and gaps to study ageing is needed. METHOD: Through a multifaceted search strategy, we identified relevant cohort studies worldwide to studying ageing and provided a summary of available pertinent measurements. Following the World Health Organization's definition of healthy ageing, we extracted information on intrinsic capacity domains and sociodemographic, social, and environmental factors. RESULTS: We identified 287 cohort studies. South America, the Middle East, and Africa had a limited number of cohort studies to study ageing compared to Europe, Oceania, Asia, and North America. Data availabilities of different measures varied substantially by location and study aim. Using the information collected, we developed a web-based Healthy Ageing Toolkit to facilitate healthy ageing research. CONCLUSIONS: The comprehensive summary of data availability enables timely evidence to contribute to the United Nations Decades of Healthy Ageing goals of promoting healthy ageing for all. Highlighted gaps guide strategies for increased data collection in regions with limited cohort studies. Comprehensive data, encompassing intrinsic capacity and various sociodemographic, social, and environmental factors, is crucial for advancing our understanding of healthy ageing and its underlying pathways.

Differences in Falls and Physical Activity in Older Women From Two Generations.

BACKGROUND: Falls and physical inactivity increase with age. However, physical activity, falls and their associations in older people born at different times are unclear. METHODS: Women born 1921-26 and 1946-51 who completed follow-up questionnaires in 1999 (n = 8 403, mean (SD) age: 75 (1) years) and 2019 (n = 7 555; 71 (1) years) in the Australian Longitudinal Study on Women's Health. Self-reported noninjurious and injurious falls in the previous 12 months and weekly amounts and types of physical activity (brisk walking, moderate- and vigorous-intensity) were compared between the cohorts using Chi-square tests. Associations between physical activity, and noninjurious and injurious falls were estimated using multinomial logistic regressions informed by a directed acyclic graph. RESULTS: A greater proportion of the later (1946-51) cohort (59%) reached 150-300 minutes of weekly physical activity, as recommended by the World Health Organization, compared to the earlier (1921-26) cohort (43%, p < .001). A greater proportion of the later cohort reported noninjurious falls (14% vs 8%). Both cohorts reported similar proportions of injurious falls (1946-51:15%, 1921-26:14%). In both cohorts, participation in 150-300 minutes of physical activity was associated with lower odds of noninjurious falls (adjusted Odds Ratio, 95% CI: 1921-26: 0.66, 0.52-0.84; 1946-51: 0.78, 0.63-0.97) and injurious falls (1921-26: 0.72, 0.60-0.87; 1946-51: 0.78, 0.64-0.96). CONCLUSIONS: Participation in recommended levels of physical activity was associated with reduced falls in both cohorts. However, generational differences were found with more falls and more physical activities in the women born later. Future studies could examine the reasons contributing to the generational differences.

Intra-generational social mobility and mortality among older men in the Concord Health and Ageing in Men Project: A cohort study.

Objectives: We examined associations between intra-generational social mobility (reflected in life-course socioeconomic trajectories) and mortality, among older men. Methods: Data came from a prospective Australian community-based cohort of older men. Social mobility was defined by socioeconomic indicators from three points in the life-course: educational attainment (late adolescence-early adulthood), occupation (mid-life), and current sources of income (older age). We defined indicators of social mobility trajectory (6 categories; reflecting the direction of social mobility) and social mobility status (2 categories; mobile or non-mobile). We used Cox regression to examine associations with mortality, adjusting for age, country of birth, and living arrangement. Results: We followed 1568 men (mean age 76.8, SD 5.4) for a mean duration of 9.1 years, with 797 deaths recorded. Moving upward was the predominant social mobility trajectory (36.0%), followed by mixed trajectories (25.1%), downward (15.1%), stable low (12.2%), stable high (7.6%), and stable middle (4.0%). Men with downward (Hazard ratio 1.58, 95% CI 1.13 to 2.19) and stable low socioeconomic trajectories (1.77, 1.25 to 2.50) had higher mortality risks than men with stable high socioeconomic trajectories, while men with upward trajectories had similar risks to those with stable high trajectories. 76.2% of the participants were classified as having mobile status; no associations were evident between binary social mobility status and mortality. Discussions: These findings suggest cumulative and persistent exposure to disadvantaged socioeconomic conditions across the life-course, rather than social mobility, is associated with increased mortality. For each stage of the life-course, addressing socioeconomic disadvantage may reduce inequities in mortality.

Leisure-Time Physical Activity and Falls With and Without Injuries Among Older Adult Women.

Importance: Falls and fall-related injuries are common among older adults. Older adults are recommended to undertake 150 to 300 minutes of physical activity per week for health benefits; however, the association between meeting the recommended level of physical activity and falls is unclear. Objectives: To examine whether associations exist between leisure-time physical activity and noninjurious and injurious falls in older women. Design, Setting, and Participants: This population-based cohort study used a retrospective analysis of the Australian Longitudinal Study on Women's Health (ALSWH). ALSWH participants born from 1946 to 1951 who completed follow-up questionnaires in 2016 (aged 65-70 years) and 2019 (aged 68-73 years) were included. Statistical analysis was performed from September 2022 to February 2023. Exposure: Self-reported weekly amounts (0, 1 to <150, 150 to <300, ≥300 minutes) and types of leisure-time physical activity, including brisk walking and moderate- and vigorous-intensity physical activity, in the 2016 survey. Main outcome and measures: Noninjurious and injurious falls in the previous 12 months reported in the 2019 survey. Associations between leisure-time physical activity and falls were quantified using directed acyclic graph-informed multinomial logistic regression and presented in odds ratios (ORs) and 95% CIs. Results: This study included 7139 women (mean [SD] age, 67.7 [1.5] years). Participation in leisure-time physical activity at or above the level recommended by the World Health Organization (150 to <300 min/wk) was associated with reduced odds of noninjurious falls (150 to <300 min/wk: OR, 0.74 [95% CI, 0.59-0.92]; ≥300 min/wk: OR, 0.66 [95% CI, 0.54-0.80]) and injurious falls (150 to <300 min/wk: OR, 0.70 [95% CI, 0.56-0.88]; ≥300 min/wk: OR, 0.77 [95% CI, 0.63-0.93]). Compared with women who reported no leisure-time physical activity, those who reported brisk walking (OR, 0.83 [95% CI, 0.70-0.97]), moderate leisure-time physical activity (OR, 0.81 [95% CI, 0.70-0.93]), or moderate-vigorous leisure-time physical activity (OR, 0.84 [95% CI, 0.70-0.99]) had reduced odds of noninjurious falls. No statistically significant associations were found between the types of leisure-time physical activity and injurious falls. Conclusions and Relevance: Participation in leisure-time physical activity at the recommended level or above was associated with lower odds of both noninjurious and injurious falls. Brisk walking and both moderate and moderate-vigorous leisure-time physical activity were associated with lower odds of noninjurious falls.

Overadjustment bias in systematic reviews and meta-analyses of socio-economic inequalities in health: a meta-research scoping review.

BACKGROUND: Overadjustment bias occurs when researchers adjust for an explanatory variable on the causal pathway from exposure to outcome, which leads to biased estimates of the causal effect of the exposure. This meta-research review aimed to examine how previous systematic reviews and meta-analyses of socio-economic inequalities in health have managed overadjustment bias. METHODS: We searched Medline and Embase until 16 April 2021 for systematic reviews and meta-analyses of observational studies on associations between individual-level socio-economic position and health outcomes in any population. A set of criteria were developed to examine methodological approaches to overadjustment bias adopted by included reviews (rated Yes/No/Somewhat/Unclear). RESULTS: Eighty-four reviews were eligible (47 systematic reviews, 37 meta-analyses). Regarding approaches to overadjustment, whereas 73% of the 84 reviews were rated as Yes for clearly defining exposures and outcomes, all other approaches were rated as Yes for <55% of reviews; for instance, 5% clearly defined confounders and mediators, 2% constructed causal diagrams and 35% reported adjusted variables for included studies. Whereas only 2% included overadjustment in risk of bias assessment, 54% included confounding. Of the 37 meta-analyses, 16% conducted sensitivity analyses related to overadjustment. CONCLUSIONS: Our findings suggest that overadjustment bias has received insufficient consideration in systematic reviews and meta-analyses of socio-economic inequalities in health. This is a critical issue given that overadjustment bias is likely to result in biased estimates of health inequalities and accurate estimates are needed to inform public health interventions. There is a need to highlight overadjustment bias in review guidelines.