The Association Between Perceived Stress and Mortality Among People With Multimorbidity: A Prospective Population-Based Cohort Study.

Multimorbidity is common and is associated with poor mental health and high mortality. Nevertheless, no studies have evaluated whether mental health may affect the survival of people with multimorbidity. We investigated the association between perceived stress and mortality in people with multimorbidity by following a population-based cohort of 118,410 participants from the Danish National Health Survey 2010 for up to 4 years. Information on perceived stress and lifestyle was obtained from the survey. We assessed multimorbidity using nationwide register data on 39 conditions and identified 4,229 deaths for the 453,648 person-years at risk. Mortality rates rose with increasing levels of stress in a dose-response relationship (P-trend < 0.0001), independently of multimorbidity status. Mortality hazard ratios (highest stress quintile vs. lowest) were 1.51 (95% confidence interval (CI): 1.25, 1.84) among persons without multimorbidity, 1.39 (95% CI: 1.18, 1.64) among those with 2 or 3 conditions, and 1.43 (95% CI: 1.18, 1.73) among those with 4 or more conditions, when adjusted for disease severities, lifestyle, and socioeconomic status. The numbers of excess deaths associated with high stress were 69 among persons without multimorbidity, 128 among those with 2 or 3 conditions, and 255 among those with 4 or more conditions. Our findings suggested that perceived stress contributes significantly to higher mortality rates in a dose-response pattern, and more stress-associated deaths occurred in people with multimorbidity.

The development in body mass index, overweight and obesity in three regions in Denmark.

BACKGROUND: The prevalence of overweight and obesity has increased markedly the past decades. However, recent studies have indicated that the development differ between different socio-economic groups and different geographic regions. The aim of this study was to assess the development in prevalence of overweight and obesity from 2006/2007 to 2010 by age, gender, socio-economic factors and geographical regions. METHODS: Two cross-sectional surveys in three regions in Denmark (The Capital Region of Denmark, The Central Denmark Region and The North Denmark Region) were performed in 2006/2007 and 2010. A random sample of citizens aged more than or equal to 25 years was invited to participate. The overall response rate was 57.5% (n = 177 076). Data from questionnaire and central registers were included. RESULTS: In 2006/2007, the prevalence of overweight, including obesity, was 54.3% and 36.8% among men and women, respectively. Of the overweight men 12.8% were obese and 11.8% women were obese. The prevalence was highest in the Northern region and among those who were older, had short education, was outside labour market, had low income and residents in rural areas. In 2010, the prevalence of overweight had increased to 56.3% and 39.6% in men and women, respectively (P < 0.0001). However, overweight increased the most in the Northern Region whereas no significant increase in body mass index was found among men in the Capital Region. Among women prevalence of overweight increased but not in those retired or above 60 years, and with high income. CONCLUSION: The prevalence of overweight and obesity was high and increased. The development, however, was heterogenic.

Assessment of health impacts of decreased smoking prevalence in Copenhagen: Application of the DYNAMO-HIA model.

AIMS: Tobacco smoking is among the leading risk factors for chronic disease and early death in developed countries, including Denmark, where smoking causes 14% of the disease burden. In Denmark, many public health interventions, including smoking prevention, are undertaken by the municipalities, but models to estimate potential health effects of local interventions are lacking. The aim of the current study was to model the effects of decreased smoking prevalence in Copenhagen, Denmark. METHODS: The DYNAMO-HIA model was applied to the population of Copenhagen, by using health survey data and data from Danish population registers. We modelled the effects of four intervention scenarios aimed at different target groups, compared to a reference scenario. The potential effects of each scenario were modelled until 2040. RESULTS: A combined scenario affecting both initiation rates among youth, and cessation and re-initiation rates among adults, which reduced the smoking prevalence to 4% by 2025, would have large beneficial effects on incidence and prevalence of smoking-related diseases and mortality. Health benefits could also be obtained through interventions targeting only cessation or re-initiation rates, whereas an intervention targeting only initiation among youth had marginal effects on morbidity and mortality within the modelled time frame. CONCLUSIONS: By modifying the DYNAMO-HIA model, we were able to estimate the potential health effects of four interventions to reduce smoking prevalence in the population of Copenhagen. The effect of the interventions on future public health depended on population subgroup(s) targeted, duration of implementation and intervention reach.

Municipal tobacco control in the Capital Region of Denmark can be improved.

INTRODUCTION: Smoking remains the single preventable factor with the highest impact on morbidity and mortality in Denmark. The aims of this study were to assess the quality of municipal tobacco control (TC) in the 29 municipalities of the Capital Region of Denmark, and to compare the quality of the TC and the priority given to TC with the prevalence of daily smoking across municipalities. MATERIAL AND METHODS: In March 2012 a questionnaire regarding municipal TC was sent to the 29 municipalities of the Region. The response rate was 100%. Data were merged with information from the Health Survey under-taken in the Capital Region in 2010 which included 49,806 respondents. We assessed the quality of TC using two measures: self-reported priority (scale 1-10) and calculated quality score (scale 0-70), and compared these measures with the prevalence of daily smoking two years before. RESULTS: There were large differences in TC between the municipalities of the region. A high smoking prevalence in 2010 was significantly associated with a high priority given to TC in 2012 (p=0.03). The mean priority of TC was 7.1 (range 3-10) and the mean quality score was 37.1 (range 17-55). Smoking cessation services and prevention of second-hand smoking exposure seem to be the main areas of focus, while several at-risk groups were given a low priority. CONCLUSION: In some municipalities, TC seems to be neglected, while others have achieved high standards. We call for major improvements in TC in the majority of municipalities. FUNDING: The trial was funded by the Capital Region of Denmark (Region Hovedstaden) and the Health Foundation (Helsefonden). TRIAL REGISTRATION: Not relevant.