Probable Sarcopenia, Obesity, and Risk of All-Cause Mortality: A Pooled Analysis of 4,612 Participants.

INTRODUCTION: Conflicting evidence exists concerning whether having sarcopenic obesity has additive mortality risk over having only sarcopenia or obesity. We examined the independent and combined associations of obesity and probable sarcopenia with all-cause mortality. METHODS: The pooled analysis included three large, harmonized datasets (Health 2000 Survey; Health, Aging and Body Composition Study; Longitudinal Aging Study Amsterdam) with mortality follow-up data on individuals aged 70 years and over at baseline (n = 4,612). Obesity indicators included body mass index and waist circumference, and probable sarcopenia was defined based on grip strength. The mixed effects Cox model was used for statistical analyses, adjusting for age, sex, marital status, education, race, physical activity, alcohol consumption, smoking, and baseline diseases. RESULTS: Risk of death increased for those having probable sarcopenia only (hazard ratio [HR]: 1.61, 95% confidence interval [CI]: 1.39-1.85) or probable sarcopenia with obesity (HR: 1.36, 95% CI: 1.13-1.64) but not for the obese-only group (HR: 0.92, 95% CI: 0.85-1.01), when compared to non-obese non-sarcopenic individuals. The results were similar regardless of adjustments for covariates or different obesity criteria applied. CONCLUSION: Probable sarcopenia, whether combined with obesity or not, is associated with increased mortality. Obesity did not increase mortality among older adults. Maintaining muscle strength and identifying older adults at risk of sarcopenia is important for the prevention of premature mortality.

Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.

Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is routinely used, plasma lipids are rarely investigated at the level of individual molecules. We aimed at predicting different measures of obesity based on the plasma lipidome in a large population cohort using advanced machine learning modeling. A total of 1,061 participants of the FINRISK 2012 population cohort were randomly chosen, and the levels of 183 plasma lipid species were measured in a novel mass spectrometric shotgun approach. Multiple machine intelligence models were trained to predict obesity estimates, i.e., body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and body fat percentage (BFP), and validated in 250 randomly chosen participants of the Malmö Diet and Cancer Cardiovascular Cohort (MDC-CC). Comparison of the different models revealed that the lipidome predicted BFP the best (R2 = 0.73), based on a Lasso model. In this model, the strongest positive and the strongest negative predictor were sphingomyelin molecules, which differ by only 1 double bond, implying the involvement of an unknown desaturase in obesity-related aberrations of lipid metabolism. Moreover, we used this regression to probe the clinically relevant information contained in the plasma lipidome and found that the plasma lipidome also contains information about body fat distribution, because WHR (R2 = 0.65) was predicted more accurately than BMI (R2 = 0.47). These modeling results required full resolution of the lipidome to lipid species level, and the predicting set of biomarkers had to be sufficiently large. The power of the lipidomics association was demonstrated by the finding that the addition of routine clinical laboratory variables, e.g., high-density lipoprotein (HDL)- or low-density lipoprotein (LDL)- cholesterol did not improve the model further. Correlation analyses of the individual lipid species, controlled for age and separated by sex, underscores the multiparametric and lipid species-specific nature of the correlation with the BFP. Lipidomic measurements in combination with machine intelligence modeling contain rich information about body fat amount and distribution beyond traditional clinical assays.

Municipal resources to promote adult physical activity - a multilevel follow-up study.

BACKGROUND: In Finland, local authorities (municipalities) provide many services, including sports and physical activity facilities such as pedestrian and bicycle ways and lanes, parks, sports arenas and pools. This study aimed to determine whether local authorities can promote physical activity by allocating resources to physical activity facilities. METHODS: The data on municipality expenditure on physical activity and sports, number of sports associations receiving subsidies from the municipality, kilometers of ways for pedestrians and bicycles and hectares of parks in 1999 and 2010 were gathered from national registers. These data were combined using unique municipal codes with individual survey data on leisure-time physical activity (N = 3193) and commuting physical activity (N = 1394). Panel data on physical activity originated from a national health survey, the Health 2000 study, conducted in 2000-2001 and 2011-2012. We used the data of persons who answered the physical activity questions twice and had the same place of residence in both years. In the data, the individuals are nested within municipalities, and multilevel analyses could therefore be applied. The data comprised a two-wave panel and the individuals were followed over 11 years. RESULTS: The resources for physical activity varied between municipalities and years. Municipal expenditure for physical activity and total kilometers of pedestrian ways increased significantly during the 11 years, although a clear decrease was observed in individuals' physical activity. In our models, individual characteristics including higher education level (OR 1.87) and better health status (OR 7.29) increased the odds of increasing physical activity. Female gender was associated with lower (OR 0.83) leisure-time physical activity. Living in rural areas (OR 0.37) decreased commuting physical activity, and age (OR 1.05) increased it. Women (OR 3.16) engaged in commuting physical activity more than men. CONCLUSIONS: Individual-level factors were more important for physical activity than local resources. A large part of the variation in physical activity occurs between individuals, which suggests that some factors not detected in this study explain a large part of the overall variation in physical activity.

Associations between physical activity types and reaching the physical activity guidelines: The FinHealth 2017 Study.

Physical activity (PA) guidelines for adults recommend to both aerobic and muscle-strengthening exercise. We aimed to report prevalence of adults reaching these guidelines and further study associations of types of physical activities with the PA guidelines. In a national FinHealth 2017 Study, adults (18+ years, n = 5335) reported participation in different types of physical activities in summer and winter, in duration of moderate- and vigorous-intensity aerobic PA, and frequency of muscle-strengthening PA. Logistic regression analysis was used, adjusting for age, education, and self-rated health, stratified into age-groups of 18-64 years and 65+ years by gender. PA guidelines were reached in the age-group of 18-64 years by 42% of men and 39% of women and in the age-group of 65+ years by 26% of men and 20% of women. Walking, cleaning and maintenance work, and stair climbing were the most popular PA types throughout the year. Workout and muscle-strengthening exercises were consistently associated with 3-8 times higher odds for reaching the PA guidelines across age, gender, and season. Other PA types (eg, jogging, swimming, skiing, gardening, or stair climbing) had more varied associations with the PA guidelines across gender, age, and season. Our data suggest that only certain conditioning activity types associate with reaching PA guidelines. Findings indicate that future interventions could more specifically use information on gender and age variation in the PA types, to find solutions for low physical activity in the population.

Advancing the global physical activity agenda: recommendations for future research by the 2020 WHO physical activity and sedentary behavior guidelines development group.

BACKGROUND: In July, 2019, the World Health Organization (WHO) commenced work to update the 2010 Global Recommendations on Physical Activity for Health and established a Guideline Development Group (GDG) comprising expert public health scientists and practitioners to inform the drafting of the 2020 Guidelines on Physical Activity and Sedentary Behavior. The overall task of the GDG was to review the scientific evidence and provide expert advice to the WHO on the amount of physical activity and sedentary behavior associated with optimal health in children and adolescents, adults, older adults (> 64 years), and also specifically in pregnant and postpartum women and people living with chronic conditions or disabilities. METHODS: The GDG reviewed the available evidence specific to each sub-population using systematic protocols and in doing so, identified a number of gaps in the existing literature. These proposed research gaps were discussed and verified by expert consensus among the entire GDG. RESULTS: Evidence gaps across population sub-groups included a lack of information on: 1) the precise shape of the dose-response curve between physical activity and/or sedentary behavior and several of the health outcomes studied; 2) the health benefits of light-intensity physical activity and of breaking up sedentary time with light-intensity activity; 3) differences in the health effects of different types and domains of physical activity (leisure-time; occupational; transportation; household; education) and of sedentary behavior (occupational; screen time; television viewing); and 4) the joint association between physical activity and sedentary time with health outcomes across the life course. In addition, we acknowledge the need to conduct more population-based studies in low- and middle-income countries and in people living with disabilities and/or chronic disease, and to identify how various sociodemographic factors (age, sex, race/ethnicity, socioeconomic status) modify the health effects of physical activity, in order to address global health disparities. CONCLUSIONS: Although the 2020 WHO Guidelines for Physical Activity and Sedentary Behavior were informed by the most up-to-date research on the health effects of physical activity and sedentary time, there is still substantial work to be done in advancing the global physical activity agenda.

World Health Organization 2020 guidelines on physical activity and sedentary behaviour.

OBJECTIVES: To describe new WHO 2020 guidelines on physical activity and sedentary behaviour. METHODS: The guidelines were developed in accordance with WHO protocols. An expert Guideline Development Group reviewed evidence to assess associations between physical activity and sedentary behaviour for an agreed set of health outcomes and population groups. The assessment used and systematically updated recent relevant systematic reviews; new primary reviews addressed additional health outcomes or subpopulations. RESULTS: The new guidelines address children, adolescents, adults, older adults and include new specific recommendations for pregnant and postpartum women and people living with chronic conditions or disability. All adults should undertake 150-300 min of moderate-intensity, or 75-150 min of vigorous-intensity physical activity, or some equivalent combination of moderate-intensity and vigorous-intensity aerobic physical activity, per week. Among children and adolescents, an average of 60 min/day of moderate-to-vigorous intensity aerobic physical activity across the week provides health benefits. The guidelines recommend regular muscle-strengthening activity for all age groups. Additionally, reducing sedentary behaviours is recommended across all age groups and abilities, although evidence was insufficient to quantify a sedentary behaviour threshold. CONCLUSION: These 2020 WHO guidelines update previous WHO recommendations released in 2010. They reaffirm messages that some physical activity is better than none, that more physical activity is better for optimal health outcomes and provide a new recommendation on reducing sedentary behaviours. These guidelines highlight the importance of regularly undertaking both aerobic and muscle strengthening activities and for the first time, there are specific recommendations for specific populations including for pregnant and postpartum women and people living with chronic conditions or disability. These guidelines should be used to inform national health policies aligned with the WHO Global Action Plan on Physical Activity 2018-2030 and to strengthen surveillance systems that track progress towards national and global targets.

Associations of increased physical performance and change in body composition with molecular pathways of heart disease and diabetes risk.

Higher physical activity is associated with a reduced hazard for a plethora of diseases. It has remained unknown how the two primary physical activity-associated health effects, improved physical performance and change in body composition, independently modulate metabolic profiles toward a reduced risk for adverse outcomes. Here, we utilized a prospective cohort of 664 young men undergoing military service. We studied the metabolic associations of changes in muscle performance and body composition during military service (range 6-12 mo). We subsequently replicated our results for body composition change in 234 population-based samples with a 7-yr follow-up. We found that increased physical performance was associated with reduced very-low-density lipoprotein (VLDL)-related measures [change in VLDL cholesterol: beta = -0.135; 95% confidence interval (CI) = -0.217, -0.054, P = 1.2 × 10-3] and lower inflammation (change in glycoprotein acetyls: beta = -0.138, 95% CI = -0.217, -0.059, P = 6.5 × 10-4), independent of change in body composition. Lower body fat percentage, independent of change in muscle performance, was associated with metabolic changes including lower low-density lipoprotein (LDL) cholesterol measures (change in LDL cholesterol: beta = -0.193, 95% CI = -0.295, -0.090; P = 2.5 × 10-4), increased high-density lipoprotein (HDL) cholesterol measures (change in large HDL cholesterol: beta = 0.316, 95% CI = 0.205, 0.427; P = 3.7 × 10-8), and decreased concentrations of amino acids (change in leucine concentration: beta = -0.236, 95% CI = -0.341, -0.132; P = 1.0 × 10-5) that are type 2 diabetes biomarkers. Importantly, all body fat percentage associations were replicated in a general population-based cohort. Our findings indicate that improved muscle performance showed weaker associations on the metabolic profiles than change in body composition and reduction in body fat percentage reduces cardiometabolic risk mediated by atherogenic lipoprotein particles and branched-chain and aromatic amino acid concentrations.

[Health and well-being from forests - experience from Finnish research]. / Effets bénéfiques de la forêt sur la santé et le bien-être. L'expérience de la recherche finlandaise.

The role of forests in enhancing human health and well-being has been studied in Finland for more than a decade, and these benefits are increasingly recognized by the Finnish society. The national research has studied the associations of use and availability of nature with health using different research methods such as population surveys, on-site field experiments, and combining GIS-based data describing the provision of nature areas with use of the areas and health status of people. This article sums up research results from multidisciplinary research work in Finland. One of the main study areas has been restorative effects of nature areas using various psychological measures. These studies demonstrate that forests and other nature areas are important in reducing stress and add recovery from work. Moreover, field experiments have confirmed that visiting forests have beneficial psychological and physiological effects on human health. These effects can be explained by psychological stress relief with contribution from reduced air pollution and noise exposure during the visits. In addition, studies looking at long-term effects of nature exposure suggest that physical activity has a mediating role in perceived health benefits, particularly among suburban residents. Recent efforts include national policy-science discussions on how the research knowledge can be implemented within various sectors such as public health and land-use planning and forest management. This work has resulted a suggestion for a national program called Nature for Health and Well-Being in Finland consisting of an action plan and a multidisciplinary research program. More comprehensive research knowledge has contributed to and triggered series of practical experiments and pilots that are briefly discussed in the article.

Language as a determinant of participation rates in Finnish health examination surveys.

AIM: A high participation rate is considered as a prerequisite for representative survey results, especially when it is known that non-participation is selective. In many countries migration is increasing and the proportion of people speaking other language(s) than the official language(s) of the country is also increasing. How does this affect survey participation rates? METHODS: Data from four cross-sectional health examination surveys (the FINRISK Study) were used to evaluate the effect of the registered mother tongue to participation in the survey. RESULTS: Finland has two official languages (Finnish and Swedish). Between 1997 and 2012, the proportion of the population with some other language as their registered mother tongue has increased significantly. Participation rates in the health surveys have been highest among the Finnish language group (68% in men in 1997 and 76% in women in 1997), while lowest among the foreign language group (43% in men in 1997 and 57% in women in 1997). In 2012, the participation rates had declined in all language groups: for men, 58%, 62% and 41% for Finnish, Swedish and foreign groups respectively, and for women 68%, 75% and 56%. CONCLUSIONS: The participation rate for the foreign language group was significantly lower than for the Finnish and Swedish groups. In future surveys it will be important to include actions to promote participation, e.g. providing survey material in several languages. These actions will increase costs but will be essential to ensure high participation rates and reliable results for the total population.

Differences in participation rates between urban and rural areas are diminishing in Finland.

Increasing within-country migration from rural to urban areas is setting new challenges for survey organization. For example, the educational level of population in urban and rural areas differ, resulting in differences in health behaviours and health outcomes between areas. Data from the national cross-sectional surveys of the FINRISK Study conducted in Finland in 1997-2012 among the adult population were used. Women living in the capital region were more likely to be survey non-participants than women living in rural areas. The differences between rural and urban areas have diminished over time among men, but not among women. Even though participation rates between different levels of urbanizations are becoming similar, observed differences in population profiles - that is, educational level - between areas may bias survey results unless results are adequately adjusted.

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.

What explains the socioeconomic status gap in activity? Educational differences in determinants of physical activity and screentime.

BACKGROUND: Designing evidence-based interventions to address socioeconomic disparities in health and health behaviours requires a better understanding of the specific explanatory mechanisms. We aimed to investigate a comprehensive range of potential theoretical mediators of physical activity (PA) and screen time in different socioeconomic status (SES) groups: a high SES group of high school students, and a low SES group of vocational school students. The COM-B system, including the Theoretical Domains Framework (TDF), was used as a heuristic framework to synthesise different theoretical determinants in this exploratory study. METHODS: Finnish vocational and high school students (N = 659) aged 16-19, responded to a survey assessing psychological, social and environmental determinants of activity (PA and screen time). These determinants are mappable into the COM-B domains: capability, opportunity and motivation. The outcome measures were validated self-report measures for PA and screen time. The statistical analyses included a bootstrapping-based mediation procedure. RESULTS: Regarding PA, there were SES differences in all of the COM-B domains. For example, vocational school students reported using less self-monitoring of PA, weaker injunctive norms to engage in regular PA, and fewer intentions than high school students. Mediation analyses identified potential mediators of the SES-PA relationship in all of three domains: The most important candidates included self-monitoring (CI95 for b: 0.19-0.47), identity (0.04-0.25) and material resources available (0.01-0.16). However, SES was not related to most determinants of screentime, where there were mainly gender differences. Most determinants were similarly related with both behaviours in both SES groups, indicating no major moderation effect of SES on these relationships. CONCLUSIONS: This study revealed that already in the first years of educational differentiation, levels of key PA determinants differ, contributing to socioeconomic differences in PA. The analyses identified the strongest mediators of the SES-PA association, but additional investigation utilising longitudinal and experimental designs are needed. This study demonstrates the usefulness of combining constructs from various theoretical approaches to better understand the role of distinct mechanisms that underpin socioeconomic health behaviour disparities.

Socio-demographic and behavioral variation in barriers to leisure-time physical activity.

INTRODUCTION: We examined the socio-demographic and behavioral determinants of perceived barriers to leisure-time physical activity (LTPA) in a population-based sample of working-aged adults. METHODS: Data comprised the National FINRISK 2002 Study, a population-based health examination study. Analyses were restricted to those aged 25-64 years and who perceived that their amount of LTPA did not reach sufficient levels. They reported barriers to LTPA, defined as a lack of time, motivation and lack of companionship to be active with, as well as high expenses. Age, education, household income, employment status, family type, physical activity, smoking and body mass index (BMI) were included as explanatory variables. RESULTS: Lack of time was the most frequent barrier. Each barrier was explained by a different set of factors that also varied between genders. The strongest and most systematic associations with the barriers were found for age, employment status and family type. Lack of time was less often reported as a barrier among the unemployed, singles without children and older people. Lacking motivation as a barrier was most common among singles without children. High expenses as a barrier was more often reported by the unemployed, and less often reported in the highest income group. CONCLUSIONS: When considering actions to promote LTPA, there is not one single solution, because the perceived barriers vary by population subgroups.

'Let's Move It' - a school-based multilevel intervention to increase physical activity and reduce sedentary behaviour among older adolescents in vocational secondary schools: a study protocol for a cluster-randomised trial.

BACKGROUND: Physical activity (PA) has been shown to decline during adolescence, and those with lower education have lower levels of activity already at this age, calling for targeted efforts for them. No previous study has demonstrated lasting effects of school-based PA interventions among older adolescents. Furthermore, these interventions have rarely targeted sedentary behaviour (SB) despite its relevance to health. The Let's Move It trial aims to evaluate the effectiveness and the cost-effectiveness of a school-based, multi-level intervention, on PA and SB, among vocational school students. We hypothesise that the intervention is effective in increasing moderate-to-vigorous-intensity physical activity (MVPA), particularly among those with low or moderate baseline levels, and decreasing SB among all students. METHODS: The design is a cluster-randomised parallel group trial with an internal pilot study. The trial is conducted in six vocational schools in the Helsinki Metropolitan area, Finland. The intervention is carried out in 30 intervention classes, and 27 control classes retain the standard curriculum. The randomisation occurs at school-level to avoid contamination and to aid delivery. Three of the six schools, randomly allocated, receive the 'Let's Move It' intervention which consists of 1) group sessions and poster campaign targeting students' autonomous PA motivation and self-regulation skills, 2) sitting reduction in classrooms via alterations in choice architecture and teacher behaviour, and 3) enhancement of PA opportunities in school, home and community environments. At baseline, student participants are blind to group allocation. The trial is carried out in six batches in 2015-2017, with main measurements at pre-intervention baseline, and 2-month and 14-month follow-ups. Primary outcomes are for PA, MVPA measured by accelerometry and self-report, and for SB, sedentary time and breaks in sedentary time (accelerometry). Key secondary outcomes include measured body composition, self-reported well-being, and psychological variables. Process variables include measures of psychosocial determinants of PA (e.g. autonomous motivation) and use of behaviour change techniques. Process evaluation also includes qualitative interviews. Intervention fidelity is monitored. DISCUSSION: The study will establish whether the Let's Move It intervention is effective in increasing PA and reducing SB in vocational school students, and identify key processes explaining the results. TRIAL REGISTRATION: ISRCTN10979479 . Registered: 31.12.2015.

The contribution of travel-related urban zones, cycling and pedestrian networks and green space to commuting physical activity among adults - a cross-sectional population-based study using geographical information systems.

BACKGROUND: The current political agenda aims to promote active environments and physical activity while commuting to work, but research on it has provided mixed results. This study examines whether the proximity of green space and people's residence in different travel-related urban zones contributes to commuting physical activity. METHODS: Population-based cross-sectional health examination survey, Health 2011 study, and geographical information system (GIS) data were utilized. The GIS data on green space and travel-related urban zones were linked to the individuals of the Health 2011 study, based on their home geocoordinates. Commuting physical activity was self-reported. Logistic regression models were applied, and age, gender, education, leisure-time and occupational physical activity were adjusted. Analyses were limited to those of working age, living in the core-urban areas of Finland and having completed information on commuting physical activity (n = 2 098). RESULTS: Home location in a pedestrian zone of a main centre (odds ratio = 1.63; 95 % confidence interval = 1.06-2.51) or a pedestrian zone of a sub-centre (2.03; 1.09-3.80) and higher proportion of cycling and pedestrian networks (3.28; 1.71-6.31) contributed to higher levels of commuting physical activity. The contribution remained after adjusting for all the environmental attributes and individuals. Based on interaction analyses, women living in a public transport zone were almost two times more likely to be physically active while commuting compared to men. A high proportion of recreational green space contributed negatively to the levels of commuting physical activity (0.73; 0.57-0.94) after adjusting for several background factors. Based on interaction analyses, individuals aged from 44 to 54 years and living in sub-centres, men living in pedestrian zones of sub-centres, and those individuals who are physically inactive during leisure-time were less likely to be physically active while commuting. CONCLUSIONS: Good pedestrian and cycling infrastructure may play an important role in promoting commuting physical activity among the employed population, regardless of educational background, leisure-time and occupational physical activity. Close proximity to green space and a high proportion of green space near the home may not be sufficient to initiate commuting physical activity in Finland, where homes surrounded by green areas are often situated in car-oriented zones far from work places.

Secular trends and educational differences in the incidence of type 2 diabetes in Finland, 1972-2007.

Type 2 diabetes prevalence is rising globally, and varies by socio-economic position. Amongst other factors, rising prevalence may reflect increasing incidence. Worldwide, few studies have examined population-level longitudinal trends in incident type 2 diabetes, and reports on secular trends in diabetes incidence by socio-economic measures such as educational attainment are lacking. Finland has a long-standing, comprehensive disease surveillance infrastructure. Using data collected over four decades from serial FINRISK surveys, the National Drug Reimbursement Register and the National Causes of Death Register, we examined secular trends in type 2 diabetes incidence in Finland from the 1970s to 2007. The diabetes status of 38,689 FINRISK participants aged 30-59 years at baseline assessment and without diagnosed diabetes at the time was followed for 10 years. Among men, incidence of diagnosed, pharmacologically managed type 2 diabetes increased over time. Compared with men surveyed in the 1970s, diabetes incidence was higher among men in the 1980s (adjusted HR 1.44, 95% CI 1.13-1.84) and 1990s (adjusted HR 1.72, 1.32-2.24). Body mass index explained some, but not all of this variation. Increases occurred predominantly among men with low (adjusted HR 1980s: 2.07, 95% CI 1.28-3.35; adjusted HR 1990s: 2.12, 95% CI 1.28-3.53) and middle (adjusted HR 1980s: 1.30, 95% CI 0.85-1.99; adjusted HR 1990s: 1.65, 95% CI 1.05-2.60) educational attainment. No secular changes were apparent among women. This rising diabetes incidence among men over recent decades has occurred despite Finland's sustained health promotion efforts. Renewed public health campaigns are urgently required. In addition to population-level initiatives, lower educational strata should be specifically targeted.

Social capital and all-cause mortality among Finnish men and women aged 30-79.

BACKGROUND: More knowledge is needed about how various dimensions of social capital associate with mortality either independently or mediated by other factors. In this cohort study, individual-level social capital was assessed as a possible predictor of all-cause mortality. METHODS: A 9-year mortality follow-up was conducted for participants of a nationally representative Health 2000 Survey carried out in 2000-01. The survey included a personal interview, self-administered questionnaires and a health examination. Response rates to different items varied between 80 and 88%. Due to the item non-response, missing values were replaced by using multiple imputation. Participants (N = 6377) were 30-79 years old at the baseline. During the follow-up period, 245 women and 340 men died. Cox regression models were used to assess the association between social capital and mortality. We analysed three dimensions of social capital: social support, social participation and trust. Their association with the risk of death was adjusted for several socio-demographic factors, health behaviours, health and biological risk factors. RESULTS: Unactive social participation was associated with higher mortality risk even when adjusting for the other factors. The association was stronger among men [hazard ratio (HR) = 1.56] than women (HR = 1.42). The other two dimensions of social capital were associated with mortality when only age was adjusted for, but this association disappeared when social participation was included in the explanatory model. CONCLUSIONS: Active social participation protects against early death. This association is partly mediated through health behaviour and to a minor extent also through health.

Forty-year trends in cardiovascular risk factors in Finland.

BACKGROUND: Finland has experienced remarkable changes in population levels of coronary heart disease risk factors and mortality over the past decades. The National FINRISK studies have monitored risk factors in major non-communicable diseases from 1972 to 2012. The 40-year changes in those risk factors are presented. METHODS: Study population included participants aged 30-59 years in the series on independent random population samples. Data were collected in 5-year intervals in 1972-2012. FINRISK studies so far comprised 53 589 men and women who participated in a health examination, gave a venous blood sample and filled in questionnaires. Serum total cholesterol, systolic and diastolic blood pressure, and body mass index (BMI) were measured using standardized protocol, and smoking status was recorded. RESULTS: Total serum cholesterol decreased remarkably until 2007, but after that has increased. Systolic blood pressure has continued to decline over time since 1972, while decrease in diastolic blood pressure has levelled off during the last 10 years. Smoking prevalence has markedly decreased. BMI has increased in the population, but most significantly in the earlier survey years, not the past 10 years. CONCLUSIONS: After three decades of favourable development, the population risk factor levels showed some increase in total cholesterol and diastolic blood pressure. This emphasizes the need for continued efforts towards national disease prevention and health promotion.

Interrelationships of Physical Activity and Sleep with Cardiovascular Risk Factors: a Person-Oriented Approach.

PURPOSE: Associations of behaviorally modifiable factors like physical activity (PA), sedentary behaviors, and sleep with cardiovascular diseases (CVDs) are complicated. We examined whether membership in latent classes (LCs) differentiated by PA and sleep profiles (real-life clustering of behaviors in population subgroups) associate with metabolic risk factors and CVD risk. METHODS: The National FINRISK 2012 Study comprise a cross-sectional sample of 10,000 Finns aged 25 to 74 years. Analyses included participants with complete data on a health questionnaire, a health examination, who had no prevalent CVD (n = 4031). LCs with PA and sleep profiles were previously defined using latent class analysis. Ten metabolic risk factors and the Framingham 10-year CVD risk score were compared between the LCs. RESULTS: PA and sleep class profiles were substantially similar for genders. Compared to LC-1, with a profile including high PA and sufficient sleep, membership in LC-4, with a profile including sedentariness and insufficient sleep was associated with high metabolic risk factors in women but not in men. In women, also membership in LC-2, with a profile including light PA, sufficient sleep, and high sedentariness was associated with high metabolic risk factors. The Framingham 10-year CVD risk score was highest in LCs 2 and 4 in both genders. CONCLUSIONS: Membership in LCs differentiated by PA and sleep profiles was associated with metabolic risk factors merely in women, suggesting gender differences in the interrelationships of health behaviors and metabolic risk factors. Total CVD risk differed between the LCs despite of gender; however, the effect was small.

Increasing health examination survey participation rates by SMS reminders and flexible examination times.

AIMS: Declining participation rates are an increasing problem in population surveys. Different kinds of methods have been used to ensure participation rates as high as possible. Monetary incentives and reminders have been found to be effective ways to increase participation rates, but these are rather expensive to implement in large population surveys. There is a need for cheaper ways to motivate survey invitees to participate. METHODS: The Kuusamo Health Examination Survey was conducted in May-June 2011. A random sample of 250 people was selected for the survey. Mobile phone numbers, when available, were obtained for people within the sample. For a random sample of 50% of survey invitees with a mobile phone number, a short message service (SMS) reminder was sent prior to their appointment. All survey participants were asked to fill in a feedback questionnaire. RESULTS: Participation rate was 58% for men and 74% for women. Mobile phone numbers were available for 66% of the sample. Among those receiving an SMS reminder about their appointment, participation rates were up to 25 percentage points higher than among the group not receiving a reminder. In the feedback questionnaire, 9% of the survey participants reported that they would not have participated without the SMS reminder they received. Participants preferred morning hours and Monday-Tuesday as time and day options for the examinations. CONCLUSIONS: SMS reminder about the appointment time was an effective way to increase participation rate, especially among the youngest age groups also, providing flexible office hours for the examination clinic may increase participation rate.