Biomedical subjects

E Lahelma

Publications and source records attributed to E Lahelma.

At least 37 records · Page 2Linked to original sources

PubMed2001

Self rated health and mortality: a long term prospective study in eastern Finland.

STUDY OBJECTIVE: To assess the relation between self rated health and mortality over a period of 23 years, taking into account medical history, cardiovascular risk factors, and education at the beginning of the follow up. DESIGN: A cohort of random population samples. The baseline studies included a self administered questionnaire and a health examination. Mortality data were collected from the national mortality register using personal identification numbers. SETTING: The provinces of North Karelia and Kuopio in eastern Finland. PARTICIPANTS: Random samples of working age people (n=21 302) from the population register. MAIN RESULTS: For self rated health, the age adjusted poor to good relative risk for all cause mortality was 2.36 (95% confidence intervals 2.10, 2.64) for men and 1.90 (1.63, 2.22) for women, and for cardiovascular mortality 2.29 (1.96, 2.68) for men and 2.34 (1.84, 2.96) for women. Adjusted for selected potentially fatal diseases from the subjects' medical histories, cardiovascular disease risk factors, and education, the corresponding relative risks for all cause mortality were 1.66 (1.47, 1.88) for men and 1.50 (1.26, 1.78) for women, and for cardiovascular mortality 1.54 (1.29, 1.82) for men and 1.63 (1.26, 2.10) for women. The association between self rated health and mortality attributable to external causes was fairly strong. CONCLUSIONS: Poor self rated health is a strong predictor of mortality, and the association is only partly explained by medical history, cardiovascular disease risk factors, and education.

Adult↗

PubMed2001

Sex differences in genetic and environmental factors contributing to body-height.

Sex differences in the heritability of self-reported body-height in two Finnish twin cohorts were studied by using sex-limitation models. The first cohort was born in 1938-1949 (N = 4873 twin pairs) and the second in 1975-1979 (N = 2374 twin pairs). Body-height was greater in the younger cohort (difference of 3.1 cm for men and 2.9 cm for women). The heritability estimates were higher among men (h2 = 0.87 in the older cohort and h2 = 0.82 in the younger cohort) than women (h2 = 0.78 and h2 = 0.67, respectively). Sex-specific genetic factors were not statistically significant in either cohort, suggesting that the same genes contribute to variation in body height for both men and women. The stronger contribution of environmental factors to body-height among women questions the hypothesis that women are better buffered against environmental stress, at least for this phenotype.

Adult↗

PubMed2001

Changing health inequalities in the Nordic countries?

The Nordic countries, referring here to Denmark, Finland, Norway, and Sweden, have often been viewed as a group of countries with many features in common, such as geographical location, history, culture, religion, language, and economic and political structures. It has also been habitual to refer to a "Nordic model" of welfare states comprising a large public sector, active labour market policies, high costs for social welfare as well as high taxes, and a general commitment to social equality. Recent research suggests that much of this "Nordicness" appears to remain despite the fact that the Nordic countries have experienced quite different changes during the 1980s and 1990s. How this relates to changes in health inequalities is in the focus of this supplement.

Finland↗

PubMed2001

Structural changes and social inequalities in health in Finland, 1986-1994.

BACKGROUND: This paper seeks to examine changes in health inequalities in Finland from the mid-1980s to the mid-1990s. To improve our understanding of the contribution of employment status changes to class and educational differences in health within the context of changing labour market conditions, we examined the differences in ill health among social classes, educational groups, and employment status groups. METHODS: The data was derived from nation-wide Finnish Surveys on Living Conditions from 1986 and 1994. Analyses included the age range 25-64 years. Health was measured using limiting long-standing illness and perceived health as below good. Results are presented as age-standardized prevalence percentages and odds ratios from logistic regression analyses. RESULTS: The pattern and size of relative social inequalities in ill health have remained generally stable during the eight-year study period in Finland. Differences between social classes have changed only slightly. Differences between educational groups have declined somewhat among men, but have remained stable among women. Compared with the employed, health among the unemployed, housewives, and pensioners has improved for both men and women. Analysing social class differences within both the employed and the non-employed showed only negligible changes. CONCLUSIONS: Changes in social inequalities in health as indicated by class and educational differentials among Finnish men and women have mostly been negligible. The observed changes are likely to have been affected by the 1990s' labour market crisis in Finland. The rapidly increasing mass unemployment is unlikely to have been very individually selective in the short run. However, in the longer run, to the extent that unemployment remains high, this trend can be expected to change as re-entry to paid employment is likely to be more individually selective.

Adult↗

PubMed2000

Educational differences in smoking: international comparison.

OBJECTIVE: To investigate international variations in smoking associated with educational level. DESIGN: International comparison of national health, or similar, surveys. SUBJECTS: Men and women aged 20 to 44 years and 45 to 74 years. SETTING: 12 European countries, around 1990. MAIN OUTCOME MEASURES: Relative differences (odds ratios) and absolute differences in the prevalence of ever smoking and current smoking for men and women in each age group by educational level. RESULTS: In the 45 to 74 year age group, higher rates of current and ever smoking among lower educated subjects were found in some countries only. Among women this was found in Great Britain, Norway, and Sweden, whereas an opposite pattern, with higher educated women smoking more, was found in southern Europe. Among men a similar north-south pattern was found but it was less noticeable than among women. In the 20 to 44 year age group, educational differences in smoking were generally greater than in the older age group, and smoking rates were higher among lower educated people in most countries. Among younger women, a similar north-south pattern was found as among older women. Among younger men, large educational differences in smoking were found for northern European as well as for southern European countries, except for Portugal. CONCLUSIONS: These international variations in social gradients in smoking, which are likely to be related to differences between countries in their stage of the smoking epidemic, may have contributed to the socioeconomic differences in mortality from ischaemic heart disease being greater in northern European countries. The observed age patterns suggest that socioeconomic differences in diseases related to smoking will increase in the coming decades in many European countries.

Adult↗

PubMed2000

Genetic and environmental contributions to the association between body height and educational attainment: a study of adult Finnish twins.

The nature of the association between body height and educational attainment found in previous studies remains to be clarified. The aim of this study was to examine factors contributing to this association by using a large Finnish twin data set (8798 adult twin pairs) gathered by questionnaire in 1981. A bivariate twin analysis was used to determine whether the genetic and environmental factors behind body height and educational attainment correlate with each other. A high heritability was found for body height (h2 = 0.78 in men and h2 = 0.75 in women), and a moderate heritability for education (h2 = 0.47 and h2 = 0.43, respectively). Shared environmental effects were also important in body height (c2 = 0.12 in men and c2 = 0.11 in women) and education (c2 = 0.36 and c2 = 0.43, respectively). A high correlation (r(c) = 0.77 in men, r(c) = 0.58 in women) of shared environmental factors education and body height, and weaker correlations (r = 0.11 and r = 0.08, respectively) of unshared environmental factors were found. The correlation of genetic factors between these two characteristics was not statistically significant. The results suggest that the association between body height and education is due mainly to nongenetic family factors.

Adult↗

PubMed2000

Relative effect of genetic and environmental factors on body height: differences across birth cohorts among Finnish men and women.

OBJECTIVES: This study examined the change in heritability of adult body height across birth cohorts in Finland. METHODS: In 1981, cross-sectional questionnaires were completed by 10,968 twin pairs born before 1958. The effect of genetic factors was estimated via genetic modeling. RESULTS: Heritability increased from the cohort born before 1929 (0.76, 95% confidence interval [CI] = 0.65, 0.88 in men; 0.66, 95% CI = 0.55, 0.77 in women) to that born in 1947 through 1957 (0.81, 95% CI = 0.73, 0.87 in men; 0.82, 95% CI = 0.75, 0.89 in women). CONCLUSIONS: Heritability of height increased across Finnish birth cohorts born in the first half of this century and leveled off after World War II. Environmental factors, compared with genetic factors, appear to be more important among women than men.

Adult↗

PubMed2000

Understanding income inequalities in health among men and women in Britain and Finland.

The aims of this study were to investigate whether the relationship between income and self-perceived health is similar for men and women in two contrasting welfare states, Britain and Finland; whether the relationship between income and health is accounted for by employment status, education, and occupational social class; and whether the association differs when using alternative ways of measuring income: gross individual and net household equivalent income. Among British and Finnish men, low household and low individual income were related to poor health, even after adjusting for employment status, education, and social class. The adjusted relationship between individual income and health was stronger for British than Finnish men. Among British and Finnish women, net household equivalent income was strongly related to health, but after adjusting for employment status, education, and social class this relationship became weaker for British women and practically disappeared for Finnish women. For British women the association between income and health differed strongly depending on the income measure used; gross individual income had almost no effect on health. These results indicate that the association between health and income has no threshold in the sense that only people in poverty have poorer health than others. In further studies of income and health, household equivalent income should be used as the principal measure of income with adjustments for employment status, and men and women should be studied separately.

Cross-Sectional Studies↗

PubMed1999

Gender differences in illhealth in Finland: patterns, magnitude and change.

The common wisdom about gender differences in illhealth has been encapsulated in the phrase "women are sicker, but men die quicker". Recently this wisdom has been increasingly questioned. The purpose of this study is first to analyse the patterns and magnitude of gender differences across various indicators of illhealth; second to examine changes over time in these differences and third to assess whether sociodemographic and socioeconomic, family status and social network determinants have any bearing on the differences. The data derive from nationally representative 1986 and 1994 Surveys on Living Conditions in Finland. Women showed poorer health for five out of eight indicators analysed; that is somatic symptoms, mental symptoms, disability among those 50 years or older, long-standing illness and limiting long-standing illness were more prevalent among women than men. Male excess was found for perceived health below good and extremely limiting long-standing illness among those 50 years or older. However, the male excess was statistically significant only for poor perceived health among those 50 years or older. Adjusting for a number of suggested determinants of health had a negligible effect on gender differences. Further analyses showed that gender differences in illhealth remained largely stable over the eight year study period which saw a steep increase of unemployment for both genders. Only in the case of mental and somatic symptoms have gender differences declined, with a simultaneous increase in the prevalence of such symptoms. Otherwise gender differences in illhealth turned out to be resistant to the deep labour market crisis over this relatively short period of time. Although women had poorer health than men for a number of health indicators, we also find gender equality and even male excess for some indicators. Furthermore, the results suggest that a male excess in illhealth is likely to be found with more severe domains of illhealth among elderly people.

Adult↗

PubMed1999

Reliability of perceived health by sex and age.

The aim of this study was to assess the test-retest reliability of a measure of perceived general health by sex and age. The study analyzed data from the nationally representative Mini-Finland Health Survey of 8000 adults aged 30 and over. The subjects were invited to attend a personal health interview and a health examination in 1978-1980. Altogether 7217 persons participated. Perceived general health was measured at the personal health interview and in the self-administered questionnaire 1-6 weeks apart. The identical questions were: how would you assess your current health? The response alternatives were good, fairly good, intermediate, fairly poor, poor and cannot say. This study showed that among men and women unweighted agreement of the 'good-intermediate-poor' categorization of perceived health was around 70% and unweighted kappa-values were around 0.5. Only in the oldest age-group (75+) reliability declined below these levels. The fair or good reliability of perceived health observed in this study gives additional confidence for using this general measure of overall health status in future research.

Adult↗

PubMed1999

The association of body mass index with social and economic disadvantage in women and men.

BACKGROUND: Although an inverse relationship between socioeconomic status and body mass index (BMI) is well documented, broad population studies focusing on the association between BMI and various forms of disadvantage such as unemployment, low income or social isolation are rare. METHODS: A nationwide, representative sample of 25-64-year-old Finnish subjects (n = 6016) was classified according to their BMI into four groups: 'thin' (BMI < 20), 'normal' (BMI 20-24.9), 'overweight' (BMI 25-29.9) and 'obese' (BMI > or = 30). Multivariable analyses using logistic regression were conducted with this BMI-grouping as an independent variable to predict social and economic disadvantage, controlling simultaneously for age, educational attainment, region of residence, and limiting long-standing illness. RESULTS: In women, overweight was associated with current unemployment and obesity with long-term unemployment as well as absence of close friends outside the family circle. Both overweight and obesity were associated with low individual earnings. Obese women were also most likely to have low household disposable and individual incomes; a similar pattern was seen among thin women. A small subgroup of thin men were socially and economically disadvantaged with all our indicators whereas excess body weight was not problematic for men. CONCLUSIONS: Deviant body weight is associated with social and economic disadvantage in a gender-specific and partly curvilinear way. In particular, obese women face multiple social and economic disadvantage.

Adult↗

PubMed1999

Social background, adult body-height and health.

STUDY OBJECTIVE: To study the socio-demographic determinants of body-height and the bearing of these determinants on the association between body-height and health among Finnish adults. DATA AND METHOD: Cross-sectional population survey including questions on social background, body-height and health, and retrospective questions on childhood living conditions. The data derive from a representative Survey on Living Conditions collected by Statistics Finland in 1994. The response rate was 73%. Male and female respondents > or =20 years were included in the analysis (N = 8212). Statistical methods include regression analysis and logistic regression analysis. RESULTS: Body-height was strongly associated with year of birth, region, childhood living conditions and education among adult men and women. Body-height was also associated with limiting long-standing illness and perceived health as below good. Tall men had the best health and short men the poorest health. Among women the association of body-height with health differed from men, as tall women showed high levels of limiting long-standing illness, notably musculo-skeletal diseases. Adjusting for the background variables weakened but did not abolish the association between poor health and short stature among men and women. CONCLUSIONS: Short stature is associated with poor health among Finnish men and women. A non-linear association among women was found for musculo-skeletal diseases. The studied social background factors explained only little of the association between body-height and health.

Adult↗

PubMed1998

Socioeconomic inequalities in health expectancy in Finland and Norway in the late 1980s.

Studies on health inequalities have usually focused either on mortality or on morbidity. This concerns national studies as well as international comparisons of health inequalities. This paper seeks to bridge the gap by applying health expectancy as a synthetic overall measure of health. The purpose of the study is to compare socioeconomic inequalities in health expectancy in Finland and Norway in the late 1980s. Additionally, the major methodological issues in the use of health expectancy in the study of health inequalities are identified. Data on mortality by level of education derive from linked national follow-up studies (1986-1990) of population censuses. Data on the prevalence of morbidity by level of education derive from nationally representative surveys of the noninstitutionalised adult population in 1985/87. Persons aged 25-74 years were included. Four measures of morbidity were used: limiting long-standing illness, extremely limiting long-standing illness, functional disabilities and perceived less than good health. The association between mortality/morbidity and level of education in each 5-year age/sex group was determined by a regression-based method. Partial life expectancies and partial health expectancies for ages 25-74 were then calculated by using the mortality quotients and morbidity prevalences predicted by the regression model for those at the top and the bottom of the educational hierarchy in each 5-year age group, using an application of the method first presented by Sullivan. Although various measures of health expectancy were used, the result were consistent. In absolute terms the size of socioeconomic inequalities in health expectancy in Finland and Norway is on the same level. In relative terms, however, the size of inequalities in health expectancy is greater in Norway. If one considers premature mortality to be more severe than any indicator of morbidity, the mortality morbidity mix of the health inequalities is less favourable to Finland, since the size of absolute inequalities in mortality is greater in Finland. Health expectancy measures provide a promising measure for assessing and comparing the pattern and the size of health inequalities.

Adult↗

PubMed1998

Gender, socioeconomic status and family status as determinants of food behaviour.

This study examines social structural and family status factors as determinants of food behaviour. The data were derived from the FINMONICA Risk Factor Survey, collected in Finland in spring 1992. A multidimensional framework of the determinants of food behaviour was used, including social structural position, family status and gender. The associations between the determinants of food behaviour were estimated by multivariate logistic regression models, adjusted for age and regional differences. Food behaviour was measured by an index including six food items which were chosen based on Finnish dietary guidelines. In general, women's food behaviour was more in accordance with the dietary guidelines than that of men. The pattern of association between educational level and food behaviour was similar for both genders, but slightly stronger for men than women. Employment status was associated only with women's food behaviour, but the tendency was the same for men. Marital status was associated with men's as well as women's food behaviour. The food behaviour of married men and women was more in line with the dietary guidelines than the food behaviour of those who had been previously married. Parental status, however, was only associated with women's food behaviour, that is, the food behaviour of women with young children was more closely in line with the dietary guidelines than that of the rest of the women.

Adult↗

PubMed1998

Examining the continuity of self-rated health.

BACKGROUND: The study examines whether self-rated health forms a continuum from poor through average to good health in terms of two groups of health-related variables. METHODS: The data come from the 1994 Finnish Survey on Living Conditions, a representative sample of Finnish men and women aged 25 years or older (n = 7290). Logistic regression analysis was used with two dependent variables: (1) average versus good/excellent self-rated health and (2) poor versus good/excellent self-rated health. Two groups of independent variables were used: (1) risk factors and (2) ill-health indicators. Separate analyses were made for men and women controlling for sociodemographic background variables. RESULTS: Of the risk factors, BMI and physical exercise were associated both with average and poor self-rated health whereas frequency of drinking was only associated with poor health. All used indicators of ill health were strongly associated with average as well as poor self-rated health. With the exception of BMI, the associations of both risk factors and ill health were stronger with poor than with average health. CONCLUSIONS: The study suggests that self-rated health forms a continuum from poor to good health when risk factors and indicators of ill health are considered, and that there are only minor differences in the continuity of self-rated health between men and women.

Adult↗

PubMed1998

Differences in self reported morbidity by educational level: a comparison of 11 western European countries.

STUDY OBJECTIVE: To assess whether there are variations between 11 Western European countries with respect to the size of differences in self reported morbidity between people with high and low educational levels. DESIGN AND METHODS: National representative data on morbidity by educational level were obtained from health interview surveys, level of living surveys or other similar surveys carried out between 1985 and 1993. Four morbidity indicators were included and a considerable effort was made to maximise the comparability of these indicators. A standardised scheme of educational levels was applied to each survey. The study included men and women aged 25 to 69 years. The size of morbidity differences was measured by means of the regression based Relative Index of Inequality. MAIN RESULTS: The size of inequalities in health was found to vary between countries. In general, there was a tendency for inequalities to be relatively large in Sweden, Norway, and Denmark and to be relatively small in Spain, Switzerland, and West Germany. Intermediate positions were observed for Finland, Great Britain, France, and Italy. The position of the Netherlands strongly varied according to sex: relatively large inequalities were found for men whereas relatively small inequalities were found for women. The relative position of some countries, for example, West Germany, varied according to the morbidity indicator. CONCLUSIONS: Because of a number of unresolved problems with the precision and the international comparability of the data, the margins of uncertainty for the inequality estimates are somewhat wide. However, these problems are unlikely to explain the overall pattern. It is remarkable that health inequalities are not necessarily smaller in countries with more egalitarian policies such as the Netherlands and the Scandinavian countries. Possible explanations are discussed.

Adult↗

PubMed1998

Body mass and social class: a comparison of Finland and Sweden in the 1990s.

High physical weight affects public health as well as people's social relations. This study seeks to examine the distribution of physical weight across the social structure in Finland and Sweden in the early 1990s. We compare physical weight, classified by overweight and obesity, 1) between men and women, 2) between different age groups, and 3) between social classes in these two countries. Comparable interview surveys were conducted in Finland 1994 (N = 8,650, response rate 73%) and in Sweden 1991 (N = 5,306, response rate 79%). Physical weight, overweight and obesity of populations are described in terms of body mass index (BMI = weight (kg)/height (m2)). The average BMI is higher in Finnish men (25.6) and women (24.6) than in their Swedish counterparts (24.6 and 23.2, respectively). In both countries, the average BMI is higher in men than in women below the age of about 55-64 years. In both countries and in both genders the average BMI is higher, the higher the age. The level of overweight as well as obesity is lower in Sweden than in Finland. Social class differences can be found in both countries. The odds ratio for overweight is higher in Finnish male and female farmers (OR = 1.57 and 1.94, respectively) as compared to upper white collars (OR = 1.0). In Sweden, high odds ratio for overweight can be found among male entrepreneurs (OR = 1.80) and female unskilled manuals (OR = 2.65). Obesity varies by social class in Swedish men and women as well as in Finnish women, but not in Finnish men. The results show that Finnish men and women are more often overweight and obese than their Swedish counterparts, but social class differences in overweight and obesity are larger in Sweden than in Finland.

Adult↗

PubMed1997

Past or present? Childhood living conditions and current socioeconomic status as determinants of adult health.

The aim was to study the associations of childhood living conditions, together with past and present socioeconomic status, with adult health among Finnish men and women. The data were derived from a nationwide interview Survey on Living Conditions collected by Statistics Finland in 1986. The sample represents the non-institutional Finnish population aged 15 years or older. The number of respondents was 12,057 and the response rate 87%. In this study we analysed 30-year-old and older subjects. Two health indicators were analysed: first, limiting long-standing illness; and second, self-assessed health as "below good". Four different indicators of childhood living conditions were included: one concerning economic problems, and three concerning family related social problems during childhood. Additionally, the degree of urbanisation of the childhood living area was examined. Past and present socioeconomic status were measured by the status of origin, i.e. the respondent's father's and mother's education, and the status of destination, i.e. the respondent's own current education. Economic problems during childhood were associated with current health. The association of childhood social problems with health was somewhat weaker and less consistent than that of economic problems. A comparison of the mutual impacts of economic and social problems, respectively, shows that economic problems are stronger and more independent determinants of adult health than social problems. According to multivariate logistic regression analysis, past and, particularly, present socioeconomic status are both important determinants of adult health. Current socioeconomic status showed strongest associations with adult health, but living conditions during upbringing, particularly economic problems and status of origin, were also significant predictors.

Adolescent↗