Sort by: Order: Results:

Now showing items 1-5 of 5
  • Ruokolainen, Otto; Ollila, Hanna; Lahti, Jouni; Rahkonen, Ossi (2019)
    Background: Socioeconomic differences in smoking and other tobacco use are prevalent in adolescents. Less is known about the association between intergenerational social mobility and tobacco use. Methods: Five waves of national cross-sectional School Health Promotion Study during 2008-2017 in Finland were used, including non-academically and academically oriented adolescents (15-21 years, N = 384,379). The adolescents' educational orientation was compared with the educational track of the parents as a proxy for intergenerational social mobility, which was used as the independent variable in regression models to examine the differences in daily smoking and daily snus use. Results: Smoking declined in all mobility groups over time, but remained more prevalent among non-academically oriented adolescents among boys and girls. Daily snus use among boys increased over time in all mobility groups. Multiple adjusted models showed that upward mobility and downward mobility are differently associated with tobacco use, the latter increasing the probability of tobacco use compared with the stable high group (boys: smoking: OR = 5.24, 95% CI 5.02-5.46; snus use: OR = 1.57, 95% CI 1.50-1.66). In smoking, absolute socioeconomic differences between the mobility groups decreased over time while relative differences increased. In snus use, both absolute and relative differences increased. Conclusions: Adolescent smoking and snus use associate strongly with the adolescent's educational track, irrespective of the social mobility class. Non-academically oriented adolescents have an increased risk of tobacco use. The academic and non-academic orientation should already be taken into account in tobacco use prevention in basic education.
  • Head, Jenny; Chungkham, Holendro Singh; Hyde, Martin; Zaninotto, Paola; Alexanderson, Kristina; Stenholm, Sari; Salo, Paula; Kivimäki, Mika; Goldberg, Marcel; Zins, Marie; Vahtera, Jussi; Westerlund, Hugo (2019)
    Background: There are striking socioeconomic differences in life expectancy, but less is known about inequalities in healthy life expectancy and disease-free life expectancy. We estimated socioeconomic differences in health expectancies in four studies in England, Finland, France and Sweden. Methods: We estimated socioeconomic differences in health expectancies using data drawn from repeated waves of the four cohorts for two indicators: (i) self-rated health and (ii) chronic diseases (cardiovascular, cancer, respiratory and diabetes). Socioeconomic position was measured by occupational position. Multistate life table models were used to estimate healthy and chronic disease-free life expectancy from ages 50 to 75. Results: In all cohorts, we found inequalities in healthy life expectancy according to socioeconomic position. In England, both women and men in the higher positions could expect 82-83% of their life between ages 50 and 75 to be in good health compared to 68% for those in lower positions. The figures were 75% compared to 47-50% for Finland; 85-87% compared to 77-79% for France and 80-83% compared to 72-75% for Sweden. Those in higher occupational positions could expect more years in good health (2.1-6.8 years) and without chronic diseases (0.5-2.3 years) from ages 50 to 75. Conclusion: There are inequalities in healthy life expectancy between ages 50 and 75 according to occupational position. These results suggest that reducing socioeconomic inequalities would make an important contribution to extending healthy life expectancy and disease-free life expectancy.
  • Konerding, Uwe; Bowen, Tom; Elkhuizen, Sylvia G.; Faubel, Raquel; Forte, Paul; Karampli, Eleftheria; Malmstrom, Tomi; Pavi, Elpida; Torkki, Paulus (2020)
    BackgroundVisits to the primary diabetes care provider play a central role in diabetes care. Therefore, patients should attend their primary diabetes care providers whenever a visit is necessary. Parameters that might affect whether this condition is fulfilled include accessibility (in terms of travel distance and travel time to the practice), as well as aspects of service quality (for example in-practice waiting time and quality of the provider's communication with the patient). The relationships of these variables with the frequency of visits to the primary diabetes care provider are investigated.MethodsThe investigation is performed with questionnaire data of 1086 type 2 diabetes patients from study regions in England (213), Finland (135), Germany (218), Greece (153), the Netherlands (296) and Spain (71). Data were collected between October 2011 and March 2012. Data were analysed using log-linear Poisson regression models with self-reported numbers of visits in a year to the primary diabetes care provider as the criterion variable. Predictor variables of the core model were: country; gender; age; education; stage of diabetes; heart problems; previous stroke; problems with lower extremities; problems with sight; kidney problems; travel distance and travel time; in-practice waiting time; and quality of communication. To test region-specific characteristics, the interaction between the latter four predictor variables and study region was also investigated.ResultsWhen study regions are merged, travel distance and in-practice waiting time have a negative effect, travel time no effect and quality of communication a positive effect on visit frequency (with the latter effect being by far largest). When region specific effects are considered, there are strong interaction effects shown for travel distance, in-practice waiting time and quality of communication. For travel distance, as well as for in-practice waiting time, there are region-specific effects in opposite directions. For quality of communication, there are only differences in the strength with which visit frequency increases with this variable.ConclusionsThe impact of quality of communication on visit frequency is the largest and is stable across all study regions. Hence, increasing quality of communication seems to be the best approach for increasing visit frequency.
  • Sumanen, Hilla; Lahelma, Eero; Pietilainen, Olli; Rahkonen, Ossi (2017)
    Background: Our aim was to examine the magnitude of relative occupational class differences in sickness absence (SA) days over a 15-year period among female and male municipal employees in two age-groups. Methods: 18-34 and 35-59-year-old employees of the City of Helsinki from 2002 to 2016 were included in our data (n = similar to 37,500 per year). Occupational class was classified into four groups. The magnitude of relative occupational class differences in SA was studied using the relative index of inequality (RII). Results: The relative occupational class differences were larger among older than younger employees; the largest differences were among 35-59-year-old men. Among women in both age-groups the relative class differences remained stable during 2002-2016. Among younger and older men, the differences were larger during the beginning of study period than in the end. Among women in both age-groups the RII values were between 2.19 (95% confidence intervals (CI) 1.98, 2.42) and 3.60 (95% CI 3.28, 3.95). The corresponding differences varied from 3.74 (95% CI 3.13, 4.48) to 1.68 (95% CI 1.44, 1.97) among younger and from 6.43 (95% CI 5.85, 7.06) to 3.31 (95% CI 2.98, 3.68) among older men. Conclusions: Relative occupational class differences were persistent among employees irrespective of age group and gender. Preventive measures should be started at young age.
  • Dudel, Christian; Myrskylae, Mikko (2017)
    A key concern about population aging is the decline in the size of the economically active population. Working longer is a potential remedy. However, little is known about the length of working life and how it relates to macroeconomic conditions. We use the U.S. Health and Retirement Study for 1992-2011 and multistate life tables to analyze working life expectancy at age 50 and study the impact of the Great Recession in 2007-2009. Despite declines of one to two years following the recession, in 2008-2011, American men aged 50 still spent 13 years, or two-fifths of their remaining life, working; American women of the same age spent 11 years, or one-third of their remaining life, in employment. Although educational differences in working life expectancy have been stable since the mid-1990s, racial differences started changing after the onset of the Great Recession. Our results show that although Americans generally work longer than people in other countries, considerable subpopulation heterogeneity exists. We also find that the time trends are fluctuating, which may prove troublesome as the population ages. Policies targeting the weakest performing groups may be needed to increase the total population trends.