22 research outputs found

    The transition of reported pain in different body regions – a one-year follow-up study

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    BACKGROUND: The course of pain at a specific region such as the lower back has previously been shown as well as for generalized pain. However we have not found any report on the course of pain from various different specific regions. The aim of this investigation was to study the one-year transition of reported pain in different body locations. METHODS: From a general population 14555 men and women, 46–68 years, responded to an extensive health questionnaire including the standardized Nordic questionnaire. The population represented 27% of the total population within the age group in Malmö, Sweden. At the one year follow-up 12607 responded to the questionnaire, yielding a response rate of 87%. The one year prevalence of long-lasting pain and the pattern of pain reporting from different regions were studied for men and women. RESULTS: The one-year prevalence of long-lasting neck pain was 14% (95% CI 13–15) among men and 25% (95% CI 24–26) among women at baseline and 15% (95% CI 14–16) for the men and 23% (95% CI 22–24) for the women at follow-up. Of those reporting neck pain "all the time" at baseline, 48% of the men and 54% of the women also reported neck pain "all the time" at the one-year follow-up. At the follow-up neck pain was reported as present "often" by 43% of the men and 47% of the women who reported neck pain "often" at baseline. Similar transition pattern were found for neck, shoulders, elbow/wrist/hand and lower back symptoms, as well as consistent prevalence rates. CONCLUSION: The one-year transition pattern of reported pain was similar in different body regions and among men and women. Furthermore the prevalence rates of long-lasting pain in the population were consistent at baseline and the follow-up. The findings of similar transition patterns support the interpretation of long-lasting pain as a generalized phenomenon rather than attributed to specific exposure. This may have implications for future pain research

    Author Correction: An analysis-ready and quality controlled resource for pediatric brain white-matter research

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    Time trends in alcohol habits. Results from the Kirseberg project in Malmo, Sweden

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    This paper reports on a pilot demonstration to implement an alcohol consumption reduction project in the community of Kirseberg, located in the city of Malmo, Sweden. The objective is to present data on time trends in alcohol use habits and alcohol-use-related problems in the Kirseberg population and to discuss potential effects of the alcohol prevention activities. It was possible to implement an alcohol consumption prevention community program successfully. The analysis of time trends in alcohol use habits and alcohol-use-related problems was, however, mainly inconclusive, but indicated a decrease in alcohol consumption and alcohol-use-related problems among young and middle-aged men

    Socioeconomic differences in leisure-time physical activity : The role of social participation and social capital in shaping health related behaviour

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    Several studies have shown socioeconomic differences in leisure-time physical activity. One explanation may be socioeconomic differences in relevant psychosocial conditions. The Malmo Diet and Cancer Study is a prospective cohort study including inhabitants in Malmo, Sweden. The baseline questionnaire used in this cross-sectional study was completed by the 11,837 participants born 1926-1945 in 1992-1994. Leisure-time physical activity was measured by an item presenting a variety of activities. These activities were aggregated into a summary measure of leisure-time physical activity that takes both the intensity and duration of each specific activity into consideration. The effects of the psychosocial variables on the socioeconomic differences in leisure-time physical activity were calculated in a multivariate logistic regression analysis. The quartile with the lowest degree of leisure-time physical activity was not evenly distributed between the socioeconomic groups. Socioeconomic differences were seen as odds ratios 1.5 for skilled and 1.5 for unskilled male manual workers, compared to the high level non-manual employees. An OR 1.6 was observed for female unskilled manual workers. Self-employed men and female pensioners also had a significantly increased risk of low leisure-time physical activity. Adjustment for age, country of origin and previous/current diseases had no effect on these SES differences. Finally, adjusting for social participation almost completely erased the SES differences. Among the psychosocial variables, social participation was the strongest predictor of low physical activity, and a strong predictor for socioeconomic differences in low leisure-time physical activity. Social participation measures the individual's social activities in, for example political parties and organisations. It therefore seems possible that some of the socioeconomic differences in leisure-time physical activity are due to differing social capital between socioeconomic groups. (C) 2001 Elsevier Science Ltd

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    Hälsorisker bland utlandsfödda malmöbor

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    Socioeconomic differences in leisure-time physical activity: the role of social participation and social capital in shaping health related behaviour

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    Several studies have shown socioeconomic differences in leisure-time physical activity. One explanation may be socioeconomic differences in relevant psychosocial conditions. The Malmö Diet and Cancer Study is a prospective cohort study including inhabitants in Malmö, Sweden. The baseline questionnaire used in this cross-sectional study was completed by the 11,837 participants born 1926-1945 in 1992-1994. Leisure-time physical activity was measured by an item presenting a variety of activities. These activities were aggregated into a summary measure of leisure-time physical activity that takes both the intensity and duration of each specific activity into consideration. The effects of the psychosocial variables on the socioeconomic differences in leisure-time physical activity were calculated in a multivariate logistic regression analysis. The quartile with the lowest degree of leisure-time physical activity was not evenly distributed between the socioeconomic groups. Socioeconomic differences were seen as odds ratios 1.5 for skilled and 1.5 for unskilled male manual workers, compared to the high level non-manual employees. An OR 1.6 was observed for female unskilled manual workers. Self-employed men and female pensioners also had a significantly increased risk of low leisure-time physical activity. Adjustment for age, country of origin and previous/current diseases had no effect on these SES differences. Finally, adjusting for social participation almost completely erased the SES differences. Among the psychosocial variables, social participation was the strongest predictor of low physical activity, and a strong predictor for socioeconomic differences in low leisure-time physical activity. Social participation measures the individual's social activities in, for example political parties and organisations. It therefore seems possible that some of the socioeconomic differences in leisure-time physical activity are due to differing social capital between socioeconomic groups.Socioeconomic status Leisure-time physical activity Social participation Social capital Sweden

    Socioeconomic differences in smoking cessation : The role of social participation

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    Objectives: The aim of this study was to investigate whether psychosocial resources explain socioeconomic differences in smoking cessation and its maintenance. Methods: A subpopulation of 11,837 individuals from the Malmö Diet and Cancer Study interviewed in 1992-94, age range 45-64 years, was investigated in this cross-sectional study. A multivariate logistic regression model was used to assess relative risks of having stopped smoking, adjusting for age, country of origin, previous/ current diseases, and marital status. Results: An odds ratio of 1.9 (1.4-2.5; 95% CI) for men and 2.0 (1.4-2.7; 95% CI) for women of having stopped smoking was found for higher non-manual employees when compared with unskilled manual workers. A decrease in these odds ratios was found when social participation was introduced into the model. The other three social network and social support variables were non-significant. Conclusion: High social participation is a predictor of maintenance of smoking cessation. It seems possible to interpret parts of the socioeconomic differences in smoking cessation and its maintenance as a consequence of differing social network resources and social capital between socioeconomic groups
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