Global Pain and Aging: A Cross-Sectional Study on Age Differences in the Intensity of Chronic Pain Among Middle-Aged and Older Adults in 20 Countries.

OBJECTIVES: This study aims to examine age differences in the intensity of chronic pain among middle-aged and older adults, where intensity is measured on a scale differentiating between chronic pain that is often troubling and likely requires intervention versus more endurable sensations. We aim to explore whether individual health and national gross domestic product (GDP) explain these differences as well. METHODS: Cross-nationally harmonized data from 20 countries on self-reported intensity of chronic pain (0 = no, 1 = mild, 2 = moderate, 3 = severe) in 104,826 individuals aged 50+ observed in 2012-2013. Two-level hierarchical ordinal linear models with individuals nested within countries were used to isolate estimations from heterogeneity explained by methodological differences across single-country studies. RESULTS: Overall, mean participant age was 66.9 (SD = 9.9), 56.1% were women, and 41.9% of respondents reported any chronic pain. Chronic pain intensity rose sharply with age in some countries (e.g., Korea and Slovenia), but this association waned or reversed in other countries (e.g., the United States and Denmark). Cross-country variation and age differences in chronic pain were partly explained (85.5% and 35.8%, respectively) by individual-level health (especially arthritis), country-level wealth (as indicated by GDP per capita), and demographics. DISCUSSION: Chronic pain intensity is not an inevitable consequence of chronological age, but the consequence of potential selection effects and lower activity levels combined with individual-level health and country-level wealth. Our findings suggest further investigation of health conditions and country affluence settings as potential targets of medical and policy interventions aiming to prevent, reduce, or manage chronic pain among older patients and aging populations.

Income inequality and its relationship with loneliness prevalence: A cross-sectional study among older adults in the US and 16 European countries.

BACKGROUNDS: The prevalence of loneliness increases among older adults, varies across countries, and is related to within-country socioeconomic, psychosocial, and health factors. The 2000-2019 pooled prevalence of loneliness among adults 60 years and older went from 5.2% in Northern Europe to 24% in Eastern Europe, while in the US was 56% in 2012. The relationship between country-level factors and loneliness, however, has been underexplored. Because income inequality shapes material conditions and relative social deprivation and has been related to loneliness in 11 European countries, we expected a relationship between income inequality and loneliness in the US and 16 European countries. METHODS: We used secondary cross-sectional data for 75,891 adults age 50+ from HRS (US 2014), ELSA (England, 2014), and SHARE (15 European countries, 2013). Loneliness was measured using the R-UCLA three-item scale. We employed hierarchical logistic regressions to analyse whether income inequality (GINI coefficient) was associated with loneliness prevalence. RESULTS: The prevalence of loneliness was 25.32% in the US (HRS), 17.55% in England (ELSA) and ranged from 5.12% to 20.15% in European countries (SHARE). Older adults living in countries with higher income inequality were more likely to report loneliness, even after adjusting for the sociodemographic composition of the countries and their Gross Domestic Products per capita (OR: 1.52; 95% CI: 1.17-1.97). DISCUSSION: Greater country-level income inequality was associated with higher prevalence of loneliness over and above individual-level sociodemographics. The present study is the first attempt to explore income inequality as a predictor of loneliness prevalence among older adults in the US and 16 European countries. Addressing income distribution and the underlying experience of relative deprivation might be an opportunity to improve older adults' life expectancy and wellbeing by reducing loneliness prevalence.

Cross-country differences in age trends in alcohol consumption among older adults: a cross-sectional study of individuals aged 50 years and older in 22 countries.

BACKGROUND AND AIMS: Age-related changes in physiological, metabolic and medication profiles make alcohol consumption likely to be more harmful among older than younger adults. This study aimed to estimate cross-national variation in the quantity and patterns of drinking throughout older age, and to investigate country-level variables explaining cross-national variation in consumption for individuals aged 50 years and older. DESIGN: Cross-sectional observational study using previously harmonized survey data. SETTING: Twenty-two countries surveyed in 2010 or the closest available year. PARTICIPANTS: A total of 106 180 adults aged 50 years and over. MEASUREMENTS: Cross-national variation in age trends were estimated for two outcomes: weekly number of standard drink units (SDUs) and patterns of alcohol consumption (never, ever, occasional, moderate and heavy drinking). Human Development Index and average prices of vodka were used as country-level variables moderating age-related declines in drinking. FINDINGS: Alcohol consumption was negatively associated with age (risk ratio = 0.98; 95% confidence interval = 0.97, 0.99; P-value < 0.001), but there was substantial cross-country variation in the age-related differences in alcohol consumption [likelihood ratio (LR) test P-value < 0.001], even after adjusting for the composition of populations. Countries' development level and alcohol prices explained 31% of cross-country variability in SDUs (LR test P-value < 0.001) but did not explain cross-country variability in the prevalence of heavy drinkers. CONCLUSIONS: Use and harmful use of alcohol among older adults appears to vary widely across age and countries. This variation can be partly explained both by the country-specific composition of populations and country-level contextual factors such as development level and alcohol prices.

Cross-country and historical variation in alcohol consumption among older men and women: Leveraging recently harmonized survey data in 21 countries.

BACKGROUND: Alcohol consumption causes greater harm in older than younger adults. As the population ages, understanding cross-country and time-varying drinking patterns of older adults is of critical importance. Available evidence relies primarily on ecological data. METHODS: We harmonized survey data for 179,881 adults age 50+ observed repeatedly between 1998 and 2016 in 21 countries. Next, we estimated historical variation in consumption across countries (overall and stratified by gender and age group 50-64/65+). RESULTS: On average, 51.95 % of older adults consumed any alcohol over the observed period. For 13 countries, the proportion of older adults who drink increased (mean annual increase: 0.76 percent points). Heavy drinking (men drinks/day>3 or binge>5, women drinks/day>2 or binge>4) peaked at 23.54 % for England in 2010 and lifetime abstainers at 69.65 % for China in 2011. Across countries and among drinkers, consumption frequency was 2.57 days/week, the number of standard drink units when drinking was 2.57, and the average number of drinks/day over a week was 1.12. Consumption patterns varied substantially across countries and historical time. Overall probability and frequency of consumption were higher in men than women, with the largest gaps observed in 2011 for China, but gender gaps decreased (even reversed) in the young old and varied across country and time. CONCLUSIONS: Wide variation in older adults' alcohol consumption across countries and time suggests that broad scale prevention and intervention efforts can be harnessed for potential population-level health benefits. Further variation by gender and age reflect physiological and social factors simultaneously shaping alcohol consumption.

Sociodemographic inequalities in depression among older adults: cross-sectional evidence from 18 countries.

BACKGROUND: Sociodemographic inequalities in depression are well established. However, less is known about variation in inequalities across countries. In this study, we describe cross-national variation in sociodemographic inequalities in depression among older adults. Comparing inequalities across countries is an important step towards understanding how the social environment shapes depression risk. METHODS: In this cross-sectional study, we harmonised data from eight large ageing cohort studies from 18 countries. We restricted our study to adults aged 55 years and older, and measured depression using established cut points in shortened Center for Epidemiologic Studies Depression or EURO-D scales. Next, we estimated prevalence ratios for each country by age, marital status, educational attainment, and gender with logistic regression. To compare estimates across countries, we standardised estimates to the mean sociodemographic distribution across our sample. FINDINGS: Between Jan 1, 2007, and May 31, 2015, 93 590 older adults completed questions related to depressive symptoms. Sociodemographic inequalities in depression varied substantially across countries. Variation was most apparent for age: prevalence ratios (adults aged 75 years or older vs adults aged 55-65 years) ranged from 2·66 (95% CI 2·13-3·20) in Israel to 0·78 (95% CI 0·72-0·84) in the USA. Heterogeneity by other factors was also apparent. Gender prevalence ratios (women vs men) ranged from 1·07 (95% CI 1·01-1·14) in Korea to 1·96 (95% CI 1·55-2·36) in Greece. Educational prevalence ratios (less than secondary education vs some post-secondary education) ranged from 1·01 (95% CI 0·88-1·14) in Japan to 2·34 (95% CI 2·14-2·55) in the USA. Marital status prevalence ratios (divorced or separated vs married) ranged from 1·11 (95% CI 1·01-1·21) in Chile to 2·01 (95% CI 1·73-2·29) in England. INTERPRETATION: Inequalities in depression among older adults vary substantially across countries, which might be due to country-specific aspects of the social environment. Future research should investigate social inequality determinants of mental health that might inform the design and evaluation of social, economic, and mental health-related policies and interventions to reduce depression. FUNDING: US National Institute of Mental Health and Chilean National Commission for Scientific and Technological Research.