Educational differences in self-rated physical fitness among Finns.

BACKGROUND: The high educated live longer and healthier lives when compared to the low educated. Physical fitness as a health indicator reflects the level of physical activity along with other health-influencing factors such as obesity, smoking, chronic diseases and individual training effects. Studies support that self-rated physical fitness correlates with objectively measured physical fitness well. However, the educational differences in self-rated physical fitness are not known. METHODS: Our aim was to study educational differences in self-rated physical fitness in Finnish population. The data were collected in 2007 for a cross-sectional population based National FINRISK Study. The analyzed data included 2722 men and 3108 women aged 25 to 74 years. Statistical method was ordinal logistic regression. RESULTS: Longer educational career was associated with better self-rated physical fitness. The educational differences in self-rated physical fitness were largely explained by health behavior. Leisure-time physical activity explained fully and body mass index partly the educational differences in self-rated physical fitness among men. The combination of body mass index, history of chronic diseases and smoking explained the differences fully among men and partly among women. Leisure-time, occupational and commuting physical activities, body mass index, history of chronic diseases and smoking together explained all educational differences in self-rated physical fitness among both genders. CONCLUSIONS: Although educational differences in self-rated physical fitness were found, they were explained by health behavior related factors. Leisure-time physical activity offered the strongest single explanation for the educational differences in self-rated physical fitness. Thus, possibilities for leisure-time physical activity should be increased especially among the low educated.

Leisure time physical activity in a 22-year follow-up among Finnish adults.

BACKGROUND: The aim of this study was to explore long-term predictors of leisure time physical activity in the general population. METHODS: This study comprised 718 men and women who participated in the national Mini-Finland Health Survey from 1978-1980 and were re-examined in 2001. Participants were aged 30-80 at baseline. Measurements included interviews, health examinations, and self-administered questionnaires, with information on socioeconomic position, occupational and leisure time physical activity, physical fitness, body mass index, smoking, alcohol consumption, and physical functional capacity. Analyses included persons who were working and had no limitations in functional capacity at baseline. RESULTS: The strongest predictor of being physically active at the follow-up was participation in physical activity at baseline, with an OR 13.82 (95%CI 5.50-34.70) for 3 or more types of regular activity, OR 2.33 (95%CI 1.22-4.47) for 1-2 types of regular activity, and OR 3.26 (95%CI 2.07-5.15) for irregular activity, as compared to no activity. Other determinants for being physically active were moving upwards in occupational status, a high level of baseline occupational physical activity and remaining healthy weight during the follow-up. CONCLUSIONS: To prevent physical inactivity among older adults, it is important to promote physical activity already in young adulthood and in middle age and to emphasize the importance of participating in many types of physical activity.

Health behaviours as mediating pathways between socioeconomic position and body mass index.

BACKGROUND: Low socioeconomic position is widely reported to associate with high body mass index (BMI). We, however, lack scientific evidence if health behaviours mediate the association between socioeconomic position and BMI. PURPOSE: The aims of the study were to explore associations of education and income with BMI and to study the mediating pathways through health behaviours. METHOD: Study population comprised 3,995 Finnish men and women aged 25 to 64 years who participated in a cross-sectional, population-based FINRISK 2002 Study. Participants' height and weight were measured to calculate BMI. Self-administered questionnaire assessed education, household income, leisure time physical activity, sitting behaviour, dietary habits, smoking, and alcohol consumption. Structural equation modelling with latent variables was applied to estimate age-adjusted direct and indirect associations between variables. RESULTS: Most health behaviours mediated the association between socioeconomic position and BMI. Strongest and most consistent mediators were diet and sitting in men and women, as well as leisure time physical activity in women. Health behaviours clustered strongly with each other. CONCLUSIONS: The strongest indirect associations between socioeconomic position and BMI were mediated through variables related to energy balance, i.e. diet and sedentariness. To reduce the socioeconomic variation in overweight and obesity, the main focus should be on food and sedentary behaviours while also taking into account the gender differences and clustering of unhealthy behaviours.

Occupational class differences in leisure-time physical inactivity--contribution of past and current physical workload and other working conditions.

OBJECTIVE: Our aim was to examine the contribution of past and current physical workload to occupational class differences in leisure-time physical inactivity. METHODS: Data were taken from the Finnish population-based Health 2000 Survey of employees aged >or=30 years (N=3355). We assessed physical activity during leisure time using a questionnaire and dichotomized responses to inactive versus active. Occupational class was classified into white- and blue-collar worker. Adjustments were made for current work-related factors, other measures of socioeconomic position, clinically diagnosed chronic diseases, other health behaviors, and history of physical workload. We applied sequential logistic regression to the analyses. RESULTS: Inactivity during leisure time was more common in blue-collar employees than in their white-collar counterparts [women odds ratio (OR) 1.50, 95% confidence interval (95% CI) 1.12-2.00; men OR 1.66, 95% CI 1.30-2.12]. These occupational differences were not due to working hours, work schedule, or chronic diseases. Among women, current job strain decreased the occupational differences in leisure-time physical inactivity slightly (OR 1.37, 95% CI 0.99-1.04). Education and household income contributed to occupational differences for men (OR 1.45, 95% CI 1.02-2.07), but had no additional effect among women. The occupation differences in leisure-time physical inactivity disappeared after adjusting for smoking and body mass index in women (OR 1.33, 95% CI 0.97-1.83) and men (OR 1.27, 95% CI 0.88-1.82) and were further attenuated after adjusting for history of physical workload among men (OR 1.07, 95% CI 0.67-1.72). CONCLUSIONS: Having a long history of exposure to physical work (among men) and a high current job strain (among women) contributed to occupational class differences in leisure-time physical inactivity.

Effects of childhood socio-economic conditions on educational differences in leisure-time physical activity.

BACKGROUND: Our purpose was to assess the direct and indirect contribution of childhood socio-economic conditions to educational differences in leisure-time physical activity among women and men. METHODS: Population-based data were derived from a representative sample of Finns aged >or=30 years (N = 7112) as part of Health 2000 Survey. Multinomial logistic regression analysis was applied. Leisure-time physical activity was divided into inactivity, moderate and high activity. RESULTS: Childhood socio-economic conditions had both a direct and indirect effect through adulthood socio-economic conditions on educational differences in leisure-time physical activity. The direct effect of childhood socio-economic conditions on educational differences in inactivity was stronger than its indirect effects through adulthood socio-economic conditions and other health behaviours and related factors. Adulthood socio-economic conditions had a considerable indirect effect on educational differences in leisure-time physical activity through other adulthood health behaviours and related factors among men. CONCLUSIONS: In order to narrow educational differences in leisure-time physical activity, we should secure a childhood environment that enables a physically active lifestyle, support leisure-time physical activity in diverse occupational groups, guarantee equal physical activity possibilities across different educational careers and support those with insufficient material resources.

Trends and socioeconomic differences in overweight among physically active and inactive Finns in 1978-2002.

OBJECTIVE: The aim was to study the associations of physical activity and socioeconomic status with overweight from 1978 to 2002 and to explore whether the trend in overweight was different across educational groups or leisure time and commuting physical activity groups. METHOD: The study population comprised 37,084 women and 34,191 men who participated in cross-sectional postal surveys carried out annually from 1978 to 2002. The surveys included independent nationally representative random samples of Finns aged 25 to 64 years. Information on weight, height, leisure time and commuting physical activity was self-reported. The level of education was obtained from national register data. Overweight was defined as a body mass index (kg/m2) of 25 or higher. RESULTS: Overweight was more prevalent among the physically inactive and lower educated. The prevalence of overweight increased over time. Across the study years, those men and women who participated in leisure time or commuting physical activity had a lower prevalence of overweight in all educational groups. The increase in the prevalence of overweight followed a similar pattern in all physical activity and education groups. CONCLUSION: Engagement in physical activity has not prevented an increase in the prevalence of overweight in any socioeconomic group among Finnish men and women from 1978 to 2002.