Scandinavian Journal of Public Health最新文献

Background: Little is known about associations between occupational prestige, that is, the symbolic evaluation and social positioning of occupations, and sickness absence (SA) or disability pension (DP). We explored whether occupational prestige was associated with future SA or DP among women and men.

Methods: A Swedish 4-year prospective cohort study of all those in paid work and aged 25-59 in 2010 (N = 2,605,227; 47% women), using linked microdata from three nationwide registers and Standard International Occupational Prestige Scale values, categorised as 'very low', 'low', 'medium', 'high', or 'very high'. Odds ratios (ORs), 95% confidence intervals (CIs), crude and adjusted for several sociodemographic factors, were calculated for three outcomes: at least one SA spell (>14 days), >90 SA days, or DP occurrence, during follow-up (2011-2013).

Results: The mean number of SA days in 2010 varied by occupational prestige group, for example, 'very high': 3.0, 'very low': 6.5. Compared to those in occupations with 'very high' prestige, all other groups had higher adjusted ORs for all three outcomes. Among men, those with 'very low' occupational prestige had the highest OR for at least one SA spell: OR 1.51 (95% CI 1.47-1.56); among women, the 'medium' group had the highest OR: 1.30 (1.27-1.32). The results were similar for SA >90 days. OR for DP among women with 'very low' occupational prestige was 2.01 (1.84-2.19), and 3.55 (3.15-4.01) for men.

Conclusions: Working in lower occupational prestige occupations was generally associated with higher odds of future SA/DP than working in higher prestige occupations; these associations were stronger for men than for women.

Aims: Mortality influences the composition of the surviving population. Higher mortality among low-income individuals than high-income individuals may result in lower poverty rates in the surviving population. The objective of this study was to describe poverty rates for both survivors and deceased individuals in a cohort born in 1926.

Methods: We used Swedish total population data on the 1926 birth cohort (n = 83,382), calculating annual poverty rates from 1991 to 2016. We compared poverty rates for the entire cohort, those who died the next year, and those who survived for 5, 10, or 20+ years, measuring the impact of selective mortality as the differences in poverty rates between the cohort and these subgroups.

Results: Individuals who died the following year had higher poverty rates than the cohort at ages 65-90. Conversely, individuals who survived 5, 10, or 20+ years had lower poverty rates, with relatively small differences (1.1% to 6.9% lower) for survivors of 5 years or longer, and larger differences (26.4% to 32.8% lower) for those who survived 20+ years.

Conclusions: Despite differences in mortality rates by income, selective mortality had only a modest impact on poverty rates. If life expectancy rises for all, and a more diverse population reaches old age, our findings indicate a potential slight increase in poverty rates due to reduced mortality as a selective factor. These findings emphasise the need to consider mortality selection when addressing future poverty rates in older adults.

Over the past century, the Earth's climate has undergone rapid and unprecedented changes, manifested in a noticeable increase in average global temperature. This has led to shifts in precipitation patterns, increased frequency of extreme weather events (e.g. hurricanes, heatwaves, droughts and floods), alterations in ecosystems, and rising sea levels, impacting both natural environments and human societies, health and wellbeing. Without deep and urgent emission cuts and effective adaptation, the toll of climate change on human health and wellbeing is likely to grow. Here, we address the complex relationship between climate change and health, and discuss ways forward for transdisciplinary research and collaboration that can motivate more ambitious mitigation policies and help develop solutions to adapt to the crisis.

Aims: A multidisciplinary group of experts and patients developed the Model for ASsessing the value of Artificial Intelligence (MAS-AI) to ensure an evidence-based and patient-centered approach to introducing artificial intelligence technologies in healthcare. In this article, we share our experiences with meaningfully involving a patient in co-creating a research project concerning complex and technically advanced topics.

Methods: The co-creation was evaluated by means of initial reflections from the research team before the project started, in a continuous logbook, and through semi-structured interviews with patients and two researchers before and after the active co-creation phase of the project.

Results: There were initial doubts about the feasibility of including patients in this type of project. Co-creation ensured relevance to patients, a holistic research approach and the debate of ethical considerations. Due to one patient dropping out, it is important to foresee and support the experienced challenges of time and energy spent by the patient in future projects. Having a multidisciplinary team helped the collaboration. A mutual reflective evaluation provided insights into the process which we would otherwise have missed.

Conclusions: We found it possible to create complex and data-intense research projects with patients. Including patients benefitted the project and gave researchers new perspectives on their own research. Mutual reflection throughout the project is key to maximise learning for all parties involved.

Aims: We aimed to investigate the association between being an immigrant and long-term prescription opioid use in Norway in 2010-2019.

Methods: Nested case-control study. The cases were all persons 18 years of age or older with long-term opioid use - that is, the use of prescription opioids longer than 3 months (N=215,642). Cases were matched to four controls who filled at least one opioid prescription, but never developed long-term opioid use in the study period (N=862,568) on sex, age and year of starting long-term/short-term opioid use. Being an immigrant was defined as being born outside of Norway to two foreign-born parents and four foreign-born grandparents. Adjusting for socioeconomic variables and clinical confounders, analyses were stratified on three age groups (18-44 years, 45-67 years and ⩾68 years).

Results: For the youngest age group, being an immigrant was inversely associated with long-term opioid use (adjusted odds ratio 0.75; 95% confidence interval [0.72-0.77]) compared with being native-born people. For this age group, the odds ratio differed between people born in Africa (0.56 [0.52-0.62]), Central or South America (0.70 [0.62-0.79]), Europe outside the European Union (EU) (0.71 [0.65-0.77]), Asia including Turkey (0.80 [0.77-0.84]) and EU/European Economic Area (EEA) (0.81 [0.77-0.85]). For the middle age group, increased odds were found for immigrants versus natives (1.05 [1.02-1.08]) in particular for those born in North America (1.26 [1.13-1.40]) and the EU/EEA (1.13 [1.09-1.18]). There was no association in the oldest group.

Conclusions: Compared with native-born people, immigrants had lower odds of long-term opioid use among younger adults, higher odds among middle-aged and similar odds among older adults.

Aims: The decline in old age mortality and subsequent increase in life expectancy among older women has stalled in some high-income countries. The contribution of causes of death to and sub-group variations in these trends are generally not well understood. We assess trends in mortality and cause-of-death decomposition of life expectancy by income over the past 30 years in Finland.

Methods: We obtained total population, annual register-based data on individuals (aged 30-89 years) residing in Finland in 1991-2020. We examined the trends in age-specific mortality rates and decomposed the contribution of various causes of death to changes in partial life expectancy among women aged 65-79 years over time and within each income quintile. In addition, we estimated life expectancy trends for the total population and by income quintile with and without causes related to alcohol consumption and smoking.

Results: Our results indicate stagnation in mortality development among women in Finland aged 65-79 years. The slowdown of improvements in circulatory and heart disease mortality contributed substantially to the observed stagnation, although similar trends were observed in virtually all the causes of death we studied. The lowest income groups experienced the most adverse developments during the study period.

Conclusions: The stagnating life expectancy observed among Finnish women cannot be attributed solely to one cause of death. In contrast to findings on the topic from many other developed countries, smoking-related causes of death were of little significance. The stagnation is linked to growing inequality in mortality development among older women in Finland, which affects the overall trend.

Aim: To describe sociodemographic disparities in temporal trends of incidence and age distributions of first registered osteoarthritis (OA) diagnosis in southern Sweden.

Methods: We identified all Skåne residents aged 35+ who had lived in the region at any point during the period 2006-2019 with no previous OA diagnosis (ICD-10 codes M15-M19) for 8 years prior to inclusion in the study (n = 849,061). We calculated person-years from inclusion until OA diagnosis, death, emigration, or 31 December 2019, whichever occurred first. Combining sex (female, male), education (low, medium, high) and nativity (Swedish, immigrant), we created a variable with 12 strata. Average annual percent changes in age-standardized incidence rates were estimated using joinpoint regression. Changes in the median age-at-diagnosis (year of diagnosis minus birth year), weighted to the mid-2005 Swedish population, were explored.

Results: Cumulative age-standardized incidence rates ranged from 116 (95% CI: 111, 121) per 10,000 person-years for immigrant males with low education to 205 (95% CI: 200, 210) for immigrant females with medium education. The estimated average annual percent changes (ranging from 3.4% to 6.1%) were generally similar, with slightly greater variations among immigrants than Swedes. The weighted median age-at-diagnosis was higher for Swedes and low educated people. Immigrant females with low education were the only stratum with a reduction (3 years) in the weighted median age-at-diagnosis over time. Sociodemographic patterns in knee OA incidence were different from patterns for hip OA.

Conclusions: There were few sociodemographic disparities in temporal trends of OA incidence and age-at-diagnosis, suggesting persistent sociodemographic disparities in OA burden in southern Sweden.