Price tag of glaucoma care is minor compared with the total direct and indirect costs of glaucoma: Results from nationwide survey and register data.

BACKGROUND: The estimations of the economic burden of glaucoma have focused on comparing different treatment modalities; hence, the total direct and indirect costs of glaucoma at population level are not well known. OBJECTIVE: To estimate the direct and indirect costs of glaucoma and its treatment in Finland. METHODS: Economic and glaucoma data were collected from the cross-sectional nationwide Health 2000 health examination survey linked to multiple national registers, which allowed a 13-year follow-up between 1999-2011 among survey participants. Direct costs covered eye- and non-eye-related hospitalizations and outpatient visits, outpatient health care services, and travel costs among participants aged 30 years or older, adjusted for age and sex. Indirect costs covered premature retirement and productivity losses among participants aged 30-64 years. Glaucoma patients (n = 192) were compared with non-glaucomatous population (n = 6,952). RESULTS: The annual additional total direct costs were EUR 2,660/glaucoma patient, EUR 1,769/glaucoma patient with medication, and EUR 3,979/operated glaucoma patient compared with persons without glaucoma. The respective additional total indirect costs were EUR 4,288, EUR 3,246, and EUR 12,902 per year. In total, the additional annual direct and indirect expenditures associated with glaucoma in Finland were EUR 202 million (0.86% of total expenditures of health care) and EUR 71 million (0.03% of the Finnish gross domestic product) arising mainly from non-eye-related hospitalizations and productivity losses, respectively. CONCLUSION: Glaucoma is associated with an increased health care consumption mainly due to non-eye-related health care, which can be explained by the vision loss as well as increased number of co-morbidities among glaucoma patients. Therefore, glaucoma constitutes a major economic burden for the health care system and society, highlighting the importance of early glaucoma interventions. The difference in direct and indirect costs between glaucoma treatment groups is explained by the uneven distribution of co-morbidities.

Predicting Internet Use and Digital Competence Among Older Adults Using Performance Tests of Visual, Physical, and Cognitive Functioning: Longitudinal Population-Based Study.

BACKGROUND: The rapidly increasing role of the internet in obtaining basic services poses challenges, especially for older adults' capabilities of getting the services they need. Research on the predictors of older adults' internet use and digital competence is especially relevant given that people are living longer than before, and the age profile of many societies is changing rapidly. OBJECTIVE: We aimed to examine the associations of objective measures of physical and cognitive impairment with the nonuse of the internet for services and low digital competence among older adults. METHODS: A longitudinal population-based design was used that combined data from performance tests and self-rated questionnaires. Data were gathered in 2017 and 2020 among 1426 older adults aged between 70 and 100 years in Finland. Logistic regression analyses were used to examine the associations. RESULTS: Those who had poor near (odds ratio [OR] 1.90, 95% CI 1.36-2.66) or distant vision (OR 1.81, 95% CI 1.21-2.71), restricted or failed abduction of upper arms (OR 1.81, 95% CI 1.28-2.85), and poor results from the word list memory (OR 3.77, 95% CI 2.65-5.36) or word list delayed recall (OR 2.12, 95% CI 1.48-3.02) tests had greater odds for nonuse of the internet for services than their counterparts. Moreover, those who had poor near (OR 2.18, 95% CI 1.57-3.02) or distant vision (OR 2.14, 95% CI 1.43-3.19), poor results from the chair stand test (OR 1.57, 95% CI 1.06-2.31), restricted or failed abduction of upper arms (OR 1.74, 95% CI 1.10-2.76), and poor results from the word list memory (OR 3.41, 95% CI 2.32-5.03) or word list delayed recall (OR 2.05, 95% CI 1.39-3.04) tests had greater odds of low digital competence than their counterparts. CONCLUSIONS: According to our results, older adults' impaired physical and cognitive functioning may hamper their possibilities of accessing internet services such as digital health care services. Our results should be considered when planning digital health care services intended to be used by older adults; that is, digital solutions should also be suitable for older adults with impairments. Furthermore, face-to-face services should be provided for those who cannot use digital services, even if they are assisted properly.

Connecting and feeling: Associations between social factors and emotions in nine countries.

We aimed to explore the distribution of positive and negative emotions across nine low-, middle- and high-income countries; and the association between social factors and these emotions. Data were drawn from the SAGE and the COURAGE studies, with 52,553 participants. Emotions were assessed through the day reconstruction method.Sociodemographic characteristics and social factors were also measured. Multiple linear regressions were performed. Finland, China and African countries showed significantly lower scores on the negative emotions, whereas positive emotions were more homogeneous across countries. Loneliness was positively associated with negative emotions and negatively associated with positive ones; frequent social participation was related with higher scores in positive emotions; and lower trust with higher levels of feeling rushed, irritated, depressed and less calm. The extent to which each emotion was felt varied across countries, but there seems to exist an association of social factors with the emotions.

Joint effects of alcohol use, smoking and body mass index as an explanation for the alcohol harm paradox: causal mediation analysis of eight cohort studies.

BACKGROUND AND AIMS: Lower socio-economic status (SES) is associated with higher alcohol-related harm despite lower levels of alcohol use. Differential vulnerability due to joint effects of behavioural risk factors is one potential explanation for this 'alcohol harm paradox'. We analysed to what extent socio-economic inequalities in alcohol-mortality are mediated by alcohol, smoking and body mass index (BMI), and their joint effects with each other and with SES. DESIGN: Cohort study of eight health examination surveys (1978-2007) linked to mortality data. SETTING: Finland. PARTICIPANTS: A total of 53 632 Finnish residents aged 25+ years. MEASUREMENTS: The primary outcome was alcohol-attributable mortality. We used income as an indicator of SES. We assessed the joint effects between income and mediators (alcohol use, smoking and BMI) and between the mediators, adjusting for socio-demographic indicators. We used causal mediation analysis to calculate the total, direct, indirect and mediated interactive effects using Aalen's additive hazards models. FINDINGS: During 1 085 839 person-years of follow-up, we identified 865 alcohol-attributable deaths. We found joint effects for income and alcohol use and income and smoking, resulting in 46.8 and 11.4 extra deaths due to the interaction per 10 000 person-years. No interactions were observed for income and BMI or between alcohol and other mediators. The lowest compared with the highest income quintile was associated with 5.5 additional alcohol deaths per 10 000 person-years (95% confidence interval = 3.7, 7.3) after adjusting for confounders. The proportion mediated by alcohol use was negative (-69.3%), consistent with the alcohol harm paradox. The proportion mediated by smoking and BMI and their additive interactions with income explained 18.1% of the total effect of income on alcohol-attributable mortality. CONCLUSIONS: People of lower socio-economic status appear to be more vulnerable to the effects of alcohol use and smoking on alcohol-attributable mortality. Behavioural risk factors and their joint effects with income may explain part of the alcohol harm paradox.

Mediators of the socioeconomic status and life satisfaction relationship in older adults: a multi-country structural equation modeling approach.

OBJECTIVES: Socioeconomic status (SES) relates to life satisfaction in old age, although the underlying mechanisms remain unclear. Health and subjective social status have shown to be related to both SES and life satisfaction. This study aims to test the mediating role of health and subjective social status in old age, and to analyze if these potential mediations vary among three European countries with different socioeconomic characteristics and welfare regimes. METHOD: The sample comprised 7,272 participants aged 50+ from COURAGE in Europe study, a household survey carried out in 2011-2012 on nationally representative samples from Finland, Poland, and Spain. A Multiple Indicators, Multiple Causes approach based on multi-group Structural Equation Modeling was implemented to test mediating effects. RESULTS: The structural invariance model showed an adequate fit (CFI = 0.971, RMSEA = 0.061). Health and subjective social status invariantly mediated the relationship between SES and life satisfaction across countries with different socioeconomic characteristics and welfare regimes. SES direct effects explained 0.83-0.85% of life satisfaction variance, whilst indirect effects explained 2.29-2.36% of life satisfaction variance via health, 3.30-3.42% via subjective social status, and 0.06% via both mediating variables. CONCLUSION: Policies aimed at increasing the SES of the older adults may entail multiple benefits, resulting in better subjective social status, health, and life satisfaction outcomes, thus fostering healthy aging of the population.

Educational Differences in Decline in Maximum Gait Speed in Older Adults Over an 11-Year Follow-up.

BACKGROUND: This study examined educational differences in decline in maximum gait speed over an 11-year follow-up in the general Finnish population aged 55 years and older and assessed the contribution of lifestyle factors, body mass index, physical workload, and chronic conditions on the association. METHOD: Data from the nationally representative Health 2000 Survey and its 11-year follow-up were used. Participants aged 55 years and older with maximum gait speed measured at both time points were included (n = 1128). Information on education, age, sex, lifestyle factors, body mass index, physical workload, and chronic conditions was collected at baseline. General linear model was used to examine differences in decline in maximum gait speed between education groups. Mediation analyses using the product method was conducted to partition the total effect of education on decline in maximum gait speed into direct effect and indirect effect acting through mediators. RESULTS: Decline in maximum gait speed was greater in low and intermediate education groups in comparison to the high education group (0.24 m/s [95% confidence interval 0.21-0.26], 0.24 m/s [0.21-0.28], 0.10 m/s [0.07-0.14], respectively]. The most important mediators were higher body mass index and lifetime exposure to physical workload among the less educated, accounting for 10% and 11% of the total effect, respectively. CONCLUSIONS: Education-based disparities in objectively measured mobility increase with age as lower education is associated with greater decline in gait speed. Higher body mass index and physical workload among less educated contributed most to the educational disparities in age-related decline in maximum gait speed.

Measurement error as an explanation for the alcohol harm paradox: analysis of eight cohort studies.

BACKGROUND: Despite reporting lower levels of alcohol consumption, people with lower socio-economic status (SES) experience greater alcohol-related harm. Whether differential biases in the measurement of alcohol use could explain this apparent paradox is unknown. Using alcohol biomarkers to account for measurement error, we examined whether differential exposure to alcohol could explain the socio-economic differences in alcohol mortality. METHODS: Participants from eight representative health surveys (n = 52 164, mean age 47.7 years) were linked to mortality data and followed up until December 2016. The primary outcome was alcohol-attributable mortality. We used income and education as proxies for SES. Exposures include self-reported alcohol use and four alcohol biomarkers [serum gamma-glutamyl transferase (available in all surveys), carbohydrate-deficient transferrin, alanine aminotransferase and aspartate aminotransferase (available in subsamples)]. We used shared frailty Cox proportional hazards to account for survey heterogeneity. RESULTS: During a mean follow-up of 20.3 years, totalling 1 056 844 person-years, there were 828 alcohol-attributable deaths. Lower SES was associated with higher alcohol mortality despite reporting lower alcohol use. Alcohol biomarkers were associated with alcohol mortality and improved the predictive ability when used in conjunction with self-reported alcohol use. Alcohol biomarkers explained a very small fraction of the socio-economic differences in alcohol mortality, since hazard ratios either slightly attenuated (percent attenuation range 1.0-12.1%) or increased. CONCLUSIONS: Using alcohol biomarkers in addition to self-reported alcohol use did not explain the socio-economic differences in alcohol mortality. Differential bias in the measurement of alcohol use is not a likely explanation for the alcohol-harm paradox.

Education and wealth inequalities in healthy ageing in eight harmonised cohorts in the ATHLOS consortium: a population-based study.

BACKGROUND: The rapid growth of the size of the older population is having a substantial effect on health and social care services in many societies across the world. Maintaining health and functioning in older age is a key public health issue but few studies have examined factors associated with inequalities in trajectories of health and functioning across countries. The aim of this study was to investigate trajectories of healthy ageing in older men and women (aged ≥45 years) and the effect of education and wealth on these trajectories. METHODS: This population-based study is based on eight longitudinal cohorts from Australia, the USA, Japan, South Korea, Mexico, and Europe harmonised by the EU Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) consortium. We selected these studies from the repository of 17 ageing studies in the ATHLOS consortium because they reported at least three waves of collected data. We used multilevel modelling to investigate the effect of education and wealth on trajectories of healthy ageing scores, which incorporated 41 items of physical and cognitive functioning with a range between 0 (poor) and 100 (good), after adjustment for age, sex, and cohort study. FINDINGS: We used data from 141 214 participants, with a mean age of 62·9 years (SD 10·1) and an age range of 45-106 years, of whom 76 484 (54·2%) were women. The earliest year of baseline data was 1992 and the most recent last follow-up year was 2015. Education and wealth affected baseline scores of healthy ageing but had little effect on the rate of decrease in healthy ageing score thereafter. Compared with those with primary education or less, participants with tertiary education had higher baseline scores (adjusted difference in score of 10·54 points, 95% CI 10·31-10·77). The adjusted difference in healthy ageing score between lowest and highest quintiles of wealth was 8·98 points (95% CI 8·74-9·22). Among the eight cohorts, the strongest inequality gradient for both education and wealth was found in the Health Retirement Study from the USA. INTERPRETATION: The apparent difference in baseline healthy ageing scores between those with high versus low education levels and wealth suggests that cumulative disadvantage due to low education and wealth might have largely deteriorated health conditions in early life stages, leading to persistent differences throughout older age, but no further increase in ageing disparity after age 70 years. Future research should adopt a lifecourse approach to investigate mechanisms of health inequalities across education and wealth in different societies. FUNDING: European Union Horizon 2020 Research and Innovation Programme.

Estimating expected life-years and risk factor associations with mortality in Finland: cohort study.

OBJECTIVE: To develop a tool to inform individuals and general practitioners about benefits of lifestyle changes by providing estimates of the expected age of death (EAD) for different risk factor values, and for those who plan and decide on preventive activities and health services at population level, to calculate potential need for these. DESIGN: Prospective cohort study to estimate EAD using a model with 27 established risk factors, categorised into four groups: (1) sociodemographic background and medical history, (2) lifestyles, (3) life satisfaction, and (4) biological risk factors. We apply a Poisson regression model on the survival data split into 1-year intervals. PARTICIPANTS: Total of 38 549 participants aged 25-74 years at baseline of the National FINRISK Study between 1987 and 2007. PRIMARY OUTCOME MEASURES: Register-based comprehensive mortality data from 1987 to 2014 with an average follow-up time of 16 years and 4310 deaths. RESULTS: Almost all risk factors included in the model were statistically significantly associated with death. The largest influence on the EAD appeared to be a current heavy smoker versus a never smoker as the EAD for a 30-year-old man decreased from 86.8 years, which corresponds to the reference values of the risk factors, to 80.2 years. Diabetes decreased EAD by >6.6 years. Whole or full milk consumers had 3.4 years lower EAD compared with those consuming skimmed milk. Physically inactive men had 2.4 years lower EAD than those with high activity. Men who found their life almost unbearable due to stress had 2.8 years lower EAD. CONCLUSIONS: The biological risk factors and lifestyles, and the factors connected with life satisfaction were clearly associated with EAD. Our model for estimating a person's EAD can be used to motivate lifestyle changes.

Are retired people higher in experiential wellbeing than working older adults? A time use approach.

Little is known about how retirement and the time use redistribution that comes with it relate to experiential wellbeing, especially in low- and middle-income countries (LAMICs). This study aims to determine whether there are differences in experiential wellbeing between retired and working older adults; whether time use accounts for a portion of these differences; and whether these potential relationships differ across LAMICs and high-income countries. We used data from 2 multicountry studies conducted in countries at different levels of economic development: SAGE (China, Ghana, India, Mexico, and South Africa) and COURAGE in Europe (Finland, Poland, and Spain), focusing on participants aged 50+ (N = 21,000). Retirement was significantly associated with higher experiential wellbeing in both surveys, and time use accounted for more than 40% of the total effect. Retirees were higher in experiential wellbeing than working older adults, and differences in how individuals spend their day accounted for part of this relationship. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

From monitoring to action: utilising health survey data in national policy development and implementation in Finland.

BACKGROUND: Health interview and examination surveys provide valuable information for policy, practice and research purposes. Appropriate use of high-quality, representative and timely population data can indirectly help the citizens to live healthier and longer lives. The aim of this study was to review how health survey data have supported health policy making, health research and everyday health care in Finland. METHODS: Data were collected by focused interviews with ten Finnish senior experts from the Ministry of Social Affairs and Health, political parties, National Institute for Health and Welfare, universities, and health associations. RESULTS: Most interviewees agreed that health surveys have positively affected the health of the population over the past 50 years - through health strategies, care guidelines, legislation, research, prevention programs, risk calculators, and healthier products on the market. There is also a need for further development: the latest research results should be provided in a nutshell for politicians, and effective tools should be developed more for health care professionals' use. The coverage of health information on children, adolescents, oldest old, disabled persons, migrants and ethnic minorities should be improved. CONCLUSIONS: Sound health policy and its successful implementation require extensive national cooperation and new communication strategies between policy makers, researchers, health care professionals, health service providers - and citizens. The future health information system in Finland should better cover all population groups. To obtain more comprehensive health information, the possibilities for register linkages should be secured and register data should be further evaluated and developed to serve health monitoring purposes.

The association between socioeconomic status and depression among older adults in Finland, Poland and Spain: A comparative cross-sectional study of distinct measures and pathways.

BACKGROUND: Socioeconomic status, as measured by education, occupation or income, is associated with depression. However, data are lacking on the psychosocial, material and behavioral mediators of these associations. We have examined the association of education, occupation and income with depression and the potential mediations using community-based data. METHODS: A total of 7,966 older adults were interviewed in Finland, Poland and Spain. The differential associations between depression and SES, mediator variables, country of residence and cofounder variables, such as chronic physical conditions, were assessed through logistic regression models. Meditation analyses were carried out using khb method for Stata 13.1. RESULTS: Education, followed by household income, were the SES indicators most frequently significantly associated with depression. These SES markers, but not occupation, showed an independent effect in this association. Psychosocial factors and loneliness in particular showed the strongest associations with depression among mediator variables. However, material factors and, especially, financial strain had a higher mediating function in the association between SES and depression. Overall, SES markers, chronic conditions and mediation factors were more positive in Finland than in Poland and Spain. CONCLUSION: Improving psychosocial and material dimensions as well as access to the educational system for older adults might result in a reduction in the prevalence of depression in the general population and particularly among individuals with low SES.

The association between discrimination and health: findings on Russian, Somali and Kurdish origin populations in Finland.

Background: The Second European Union Minorities and Discrimination Survey recently demonstrated widespread discrimination across EU countries, with high discrimination rates observed in countries like Finland. Discrimination is known to negatively impact health, but fewer studies have examined how different types of perceived discrimination are related to health. Methods: This study examines (i) the prevalence of different types of perceived discrimination among Russian, Somali and Kurdish origin populations in Finland, and (ii) the association between different types of perceived discrimination (no experiences; subtle discrimination only; overt or subtle and overt discrimination) and health (self-rated health; limiting long-term illness (LLTI) or disability; mental health symptoms). Data are from the Finnish Migrant Health and Wellbeing Study (n = 1795). Subtle discrimination implies reporting being treated with less courtesy and/or treated with less respect than others, and overt discrimination being called names or insulted and/or threatened or harassed. The prevalence of discrimination and the associations between discrimination and health were calculated with predicted margins and logistic regression. Results: Experiences of subtle discrimination were more common than overt discrimination in all the studied groups. Subtle discrimination was reported by 29% of Somali origin persons and 35% Russian and Kurdish origin persons. The prevalence of overt discrimination ranged between 22% and 24%. Experiences of discrimination increased the odds for poor self-reported health, LLTI and mental health symptoms, particularly among those reporting subtle discrimination only. Conclusions: To promote the health of diverse populations, actions against racism and discrimination are highly needed, including initiatives that promote shared belonging.

Factors Related to Unemployment in Europe. A Cross-Sectional Study from the COURAGE Survey in Finland, Poland and Spain.

Background: Research addressing the impact of a large number of factors on unemployment is scarce. We aimed to comprehensively identify factors related to unemployment in a sample of persons aged 18-64 from Finland, Poland and Spain. Methods: In this cross-sectional study, factors from different areas were considered: socio-demographic indicators, health habits, chronic conditions, health state markers, vision and hearing indicators, and social networks and built environment scores. Results: Complete data were available for 5003 participants, mean age 48.1 (SD 11.5), 45.4% males. The most important factors connected to unemployment were health status indicators such as physical disability (OR = 2.944), self-rated health (OR = 2.629), inpatient care (OR = 1.980), and difficulties with getting to the toilet (OR = 2.040), while the most relevant factor related to employment were moderate alcohol consumption (OR = 0.732 for non-heavy drinkers; OR = 0.573 for infrequent heavy drinkers), and being married (OR = 0.734), or having been married (OR = 0.584). Other factors that played a significant role included presence of depression (OR = 1.384) and difficulties with near vision (OR = 1.584) and conversation hearing (OR = 1.597). Conclusions: Our results highlight the importance of selected factors related to unemployment, and suggest public health indications that could support concrete actions on modifiable factors, such as those aimed to promote physical activity and healthy behaviors, tackling depression or promoting education, in particular for the younger.

Participation rates by educational levels have diverged during 25 years in Finnish health examination surveys.

Background: Declining participation rates in health examination surveys may impair the representativeness of surveys and introduce bias into the comparison of results between population groups if participation rates differ between them. Changes in the characteristics of non-participants over time may also limit comparability with earlier surveys. Methods: We studied the association of socio-economic position with participation, and its changes over the past 25 years. Occupational class and educational level are used as indicators of socio-economic position. Data from six cross-sectional FINRISK surveys conducted between 1987 and 2012 in Finland were linked to national administrative registers, which allowed investigation of the differences between survey participants and non-participants. Results: Our results show that individuals with low occupational class or low level of education were less likely to participate than individuals with high occupational class or high level of education. Participation rates decreased in all subgroups of the population but the decline was fastest among those with low level of education. Conclusions: The differences in participation rates must be taken into account to avoid biased estimates because socio-economic position has also been shown to be strongly related to health, health behaviour and biological risk factors. Particular attention should be paid to the recruitment of the less-educated population groups.

Socioeconomic inequalities in alcohol consumption in Chile and Finland.

BACKGROUND: Reasons for socioeconomic inequalities in alcohol harm are not sufficiently understood. One explanation relates to differential exposure to alcohol by socioeconomic status (SES). The present study investigated socioeconomic inequalities in alcohol use in two countries with high alcohol consumption and alcohol harm. METHODS: Data from nationally representative surveys in 2009-2010 in Chile and in 2008-2011 in Finland were used. Surveys comprised 3477 participants in Chile and 9994 in Finland aged 30-64 years. Outcome measures included abstinence, weekly consumption of pure alcohol, heavy volume drinking and heavy episodic drinking (HED). We employed a novel method in alcohol research, the concentration index, to measure socioeconomic inequalities. RESULTS: Alcohol abstinence showed a strong association with lower SES in Chile and Finland. These were largely driven by inequalities among women in Chile and older subgroups in Finland. In both countries, women aged 45-64 of higher SES showed higher weekly consumption of pure alcohol and heavy volume drinking. Heavy volume drinking among Chilean women aged 45-64 showed the highest inequality, favouring higher SES. HED was equally distributed among SES groups in Chile; in Finland HED disproportionally affected lower SES groups. CONCLUSIONS: Lower SES was associated with higher abstinence rates in both countries and heavy episodic drinking in Finland. Heavy volume drinking was more prevalent in middle-aged women of high SES. The results identified groups for targeted interventions, including middle-aged higher SES women, who traditionally have not been specifically targeted. The concentration index could be a useful measure of inequalities in alcohol use.

Hearing loss and use of health services: a population-based cross-sectional study among Finnish older adults.

BACKGROUND: Older adults with hearing difficulties face problems of communication which may lead to underuse of health services. This study investigated the association of hearing loss and self-reported hearing difficulty with the use of health services and unmet health care needs in older adults. METHODS: Data on persons aged 65 and older (n = 2144) drawn from a population-based study, Health 2000, were analyzed. Hearing loss was determined with screening audiometry (n = 1680). Structured face-to-face interviews were used to assess self-reported hearing difficulty (n = 1962), use of health services (physician and nurse visits, health examinations, mental health services, physical therapy, health promotion groups, vision test, hearing test, mammography, PSA test) and perceived unmet health care needs. Multivariable logistic regression analyses were used. RESULTS: After adjusting for socio-economic and health-related confounders, persons with hearing loss (hearing level of better ear 0.5-2 kHz > 40 dB) were more likely to have used mental health services than those with non-impaired hearing (OR = 3.2, 95 % CI 1.3-7.9). Self-reported hearing difficulty was also associated with higher odds for mental health service use (OR = 2.1 95 % CI 1.2-3.5). Hearing was not associated with use of the other health services studied, except presenting for a hearing test. Persons with self-reported hearing difficulty were more likely to perceive unmet health care needs than those without hearing difficulty (OR = 1.7, 95 % CI 1.4-2.1). CONCLUSIONS: Older adults with hearing loss or self-reported hearing difficulty are as likely to use most health services as those without hearing loss. However, self-reported hearing difficulty is associated with experiencing unmet health care needs. Adequate health services should be ensured for older adults with hearing difficulties.

The role of socio-economic status in depression: results from the COURAGE (aging survey in Europe).

BACKGROUND: Low socio-economic status (SES) has been found to be associated with a higher prevalence of depression. However, studies that have investigated this association have been limited in their national scope, have analyzed different components of SES separately, and have not used standardized definitions or measurements across populations. The aim of the current study was to evaluate the association between SES and depression across three European countries that represent different regions across Europe, using standardized procedures and measurements and a composite score for SES. METHOD: Nationally-representative data on 10,800 individuals aged ≥18 from the Collaborative Research on Ageing in Europe (COURAGE) survey conducted in Finland, Poland and Spain were analyzed in this cross-sectional study. An adapted version of the Composite International Diagnostic Interview was used to identify the presence of depression, and SES was computed by using the combined scores of the total number of years educated (0-22) and the quintiles of the country-specific income level of the household (1-5). Multivariable logistic regression was used to assess the association between SES and depression. RESULTS: Findings reveal a significant association between depression and SES across all countries (p ≤ 0.001). After adjusting for confounders, the odds of depression were significantly decreased for every unit increase in the SES index for Finland, Poland and Spain. Additionally, higher education significantly decreased the odds for depression in each country, but income did not. CONCLUSION: The SES index seems to predict depression symptomatology across European countries. Taking SES into account may be an important factor in the development of depression prevention strategies across Europe.

Finnish experiences of health monitoring: local, regional, and national data sources for policy evaluation.

BACKGROUND: Finland has a long tradition of gathering information about the health and welfare of the adult population. DESIGN: Surveys and administrative registers form the basis for national and local health monitoring in Finland. RESULTS: Different data sources are used in Finland to develop key indicators, which can be used to evaluate how the national health policy targets have been met in different parts of the country and in different population subgroups. Progress has been shown in chronic disease risk factors, such as smoking reduction. However, some health policy targets have not been met. Socioeconomic health differences, for example, have remained large compared with other European countries. CONCLUSION: Although data availability for key health indicators is good in Finland, there is a need for wider and more comprehensive use of this information by political decision-makers and healthcare professionals.