Coen H. van Gool

Associations between lifestyle and depressed mood: Longitudinal results from the Maastricht Aging Study

OBJECTIVES We examined whether healthy lifestyles are associated with absence of depressed mood. METHODS A sample of 1169 adult participants in the Maastricht Aging Study provided baseline and 6-year follow-up data on smoking, alcohol use, physical exercise, body mass index, and mood. We examined associations between lifestyles and depressed mood using longitudinal analyses controlling for baseline depressive symptoms and covariates. RESULTS Reports of excessive alcohol use at baseline predicted depressed mood at follow-up (relative risk [RR] = 2.48; 95% confidence interval [CI] = 1.08, 5.69), and reports of more than 30 minutes of physical exercise per day at baseline were associated with an absence of depressed mood at follow-up (RR=0.52; 95% CI=0.29, 0.92). Reports of being engaged in physical exercise throughout the 6-year follow-up period were also associated with absence of depressed mood (RR=0.56; 95% CI=0.34, 0.93). CONCLUSIONS In this relatively healthy population sample, certain lifestyles either predicted or protected against depressed mood. Adopting or maintaining healthy lifestyles might be a starting point in preventing or treating depressed mood over time.

Lifestyle factors and incident mobility limitation in obese and non-obese older adults.

Objective: This study examines the association between incident mobility limitation and 4 lifestyle factors: smoking, alcohol intake, physical activity, and diet in well‐functioning obese (n = 667) and non‐obese (n = 2027) older adults.

Trends in activity limitations: the Dutch older population between 1990 and 2007

BACKGROUND It is not clear whether recent increases in life expectancy are accompanied by a concurrent postponement of activity limitations. The objective of this study was to give best estimates of the trend in the prevalence of activity limitations among the non-institutionalized population aged 55-84 years over the period 1990-2007 in The Netherlands. METHODS We examined self-reports on 12 measures of moderate or severe activity limitations in stair climbing, walking and getting dressed as assessed by OECD long-term disability questionnaire or Short Form-36 (SF-36) items, using original data from five population-based cross-sectional and longitudinal surveys (n = 54,847 respondents). To account for heterogeneity between surveys, we used meta-analyses to study time trends. RESULTS Time trends of 10 out of the 12 activity limitation variables studied were stable. The prevalence of at least moderate activity limitations in stair climbing [odds ratio (OR) = 1.03)] and getting dressed (OR = 1.04) based on OECD items increased over the study period. Age- and gender-stratified time trend analyses showed consistent patterns. CONCLUSIONS No declines were observed in the prevalence of activity limitations in the Dutch older population over the period 1990-2007. The increase in life expectancy in this period is accompanied by a stable prevalence of most activity limitations.

The Disabling Effect of Diseases: A Study on Trends in Diseases, Activity Limitations, and Their Interrelationships

OBJECTIVES Data from the Netherlands indicate a recent increase in prevalence of chronic diseases and a stable prevalence of disability, suggesting that diseases have become less disabling. We studied the association between chronic diseases and activity limitations in the Netherlands from 1990 to 2008. METHODS Five surveys among noninstitutionalized persons aged 55 to 84 years (n = 54,847) obtained self-reported data on chronic diseases (diabetes, heart disease, peripheral arterial disease, stroke, lung disease, joint disease, back problems, and cancer) and activity limitations (Organisation for Economic Co-operation and Development [OECD] long-term disability questionnaire or 36-item Short Form Health Survey [SF-36]). RESULTS Prevalence rates of chronic diseases increased over time, whereas prevalence rates of activity limitations were stable (OECD) or slightly decreased (SF-36). Associations between chronic diseases and activity limitations were also stable (OECD) or slightly decreased (SF-36). Surveys varied widely with regard to disease and limitation prevalence rates and the associations between them. CONCLUSIONS The hypothesis that diseases became less disabling from 1990 to 2008 was only supported by results based on activity limitation data as assessed with the SF-36. Further research on how diseases and disability are associated over time is needed.

Chronic Disease and Lifestyle Transitions Results From the Longitudinal Aging Study Amsterdam

Objective: This article addresses the association between course of chronic disease and lifestyle. Method: We examined differences in unhealthy lifestyles—smoking, excessive alcohol use, being sedentary—and transitions herein after 6 years in prevalent and incident chronic disease categories— lung and cardiovascular disease, diabetes, and osteoarthritis and/or rheumatic arthritis—among 2,184 respondents aged 55 years and older from the Netherlands. We also examined if transitions in lifestyle co-occurred with changes in disease-related symptomatology. Results: Proportions of respondents who smoked decreased over time, whereas proportions of respondents who were sedentary increased. Respondents with incident cardiovascular disease demonstrated more lifestyle transitions than respondents from other disease categories. Respondents demonstrating healthy lifestyle transitions did not differ from those persisting in unhealthy lifestyles in change in disease-related symptoms. Discussion: Health promotion may benefit from these findings in a way that patient groups at risk for not initiating healthy lifestyles might be identified sooner.

Late-Life Depressed Mood and Weight Change Contribute to the Risk of Each Other

OBJECTIVE Weight change may be considered an effect of depression. In turn, depression may follow weight change. Deteriorations in health may mediate these associations. The objective was to examine reciprocal associations between depressed mood and weight change, and the potentially mediating role of deteriorations in health (interim hospitalizations and incident mobility imitation) in these associations. METHODS Data were from 2406 black and white men and women, aged 70-79 from Pittsburgh, Pennsylvania and Memphis, Tennessee participating in the Health, Aging and Body composition (Health ABC) study. Depressed mood at baseline (T1) and 3-year follow-up (T4) was measured with the CES-D scale. Three weight change groups (T1-T4) were created: loss (>or=5% loss), stable (within +/-5% loss or gain), and weight gain (>or=5% gain). RESULTS At T1 and T4, respectively 4.4% and 9.5% of the analysis sample had depressed mood. T1 depressed mood was associated with weight gain over the 3-year period (OR:1.91; 95%CI:1.13-3.22). Weight loss over the 3-year period was associated with T4 depressed mood (OR:1.51; 95%CI:1.05-2.16). Accounting for deteriorations in health in the reciprocal associations between weight change and depressed mood reduced effect sizes between 16-27%. CONCLUSIONS In this study, depressed mood predicted weight gain over three years, while weight loss over three years predicted depressed mood. These associations were partly mediated through deteriorations in health. Implications for clinical practice and prevention include increased awareness that depressed mood can cause weight change, but can also be preceded by deteriorations in health and weight change.

Unhealthy lifestyles do not mediate the relationship between socioeconomic status and incident depressive symptoms: the Health ABC study.

BACKGROUND The relationship between low socioeconomic status (SES) and depressive symptoms is well described, also in older persons. Although studies have found associations between low SES and unhealthy lifestyle factors, and between unhealthy lifestyle factors and depressive symptoms, not much is known about unhealthy lifestyles as a potential explanation of socioeconomic differences in depressive symptoms in older persons. METHODS To study the independent pathways between SES (education, income, perceived income, and financial assets), lifestyle factors (smoking, alcohol use, body mass index, and physical activity), and incident depressive symptoms (Center for Epidemiologic Studies-Depression [CES-D 10] and reported use of antidepressant medication), we used 9 years of follow-up data (1997-2007) from 2,694 American black and white participants aged 70-79 years from the Health, Aging, and Body Composition (Health ABC) study. At baseline, 12.1% of the study population showed prevalent depressive symptoms, use of antidepressant medication, or treatment of depression in the 5 years prior to baseline. These persons were excluded from the analyses. RESULTS Over a period of 9 years time, 860 participants (31.9%) developed depressive symptoms. Adjusted hazard ratios for incident depressive symptoms were higher in participants from lower SES groups compared with the highest SES group. The strongest relationships were found for black men. Although unhealthy lifestyle factors were consistently associated with low SES, they were weakly related to incident depressive symptoms. Lifestyle factors did not significantly reduce hazard ratios for depressive symptoms by SES. CONCLUSION In generally healthy persons aged 70-79 years, lifestyle factors do not explain the relationship between SES and depressive symptoms.

Taking multi-morbidity into account when attributing DALYs to risk factors: comparing dynamic modeling with the GBD2010 calculation method

BackgroundDisability Adjusted Life Years (DALYs) quantify the loss of healthy years of life due to dying prematurely and due to living with diseases and injuries. Current methods of attributing DALYs to underlying risk factors fall short on two main points. First, risk factor attribution methods often unjustly apply incidence-based population attributable fractions (PAFs) to prevalence-based data. Second, it mixes two conceptually distinct approaches targeting different goals, namely an attribution method aiming to attribute uniquely to a single cause, and an elimination method aiming to describe a counterfactual situation without exposure. In this paper we describe dynamic modeling as an alternative, completely counterfactual approach and compare this to the approach used in the Global Burden of Disease 2010 study (GBD2010).MethodsUsing data on smoking in the Netherlands in 2011, we demonstrate how an alternative method of risk factor attribution using a pure counterfactual approach results in different estimates for DALYs. This alternative method is carried out using the dynamic multistate disease table model DYNAMO-HIA. We investigate the differences between our alternative method and the method used by the GBD2010 by doing additional analyses using data from a synthetic population in steady state.ResultsWe observed important differences between the outcomes of the two methods: in an artificial situation where dynamics play a limited role, DALYs are a third lower as compared to those calculated with the GBD2010 method (398,000 versus 607,000 DALYs). The most important factor is newly occurring morbidity in life years gained that is ignored in the GBD2010 approach. Age-dependent relative risks and exposures lead to additional differences between methods as they distort the results of prevalence-based DALY calculations, but the direction and magnitude of the distortions depend on the particular situation.ConclusionsWe argue that the GBD2010 approach is a hybrid of an attributional and counterfactual approach, making the end result hard to understand, while dynamic modelling uses a purely counterfactual approach and thus yields better interpretable results.