The association between voluntary work and health care use among older adults in Germany

Associations between starting and stopping volunteering and physical activity among older adults - longitudinal evidence from the German Ageing Survey

Background

Physical activity (PA) contributes to healthy aging. Several studies have investigated factors influencing PA. However, population-based studies evaluating associations between volunteering and changes in PA are lacking. Our aim was to clarify whether starting and stopping to volunteer is associated with changes in physical activity in older adults.

Method

We used data from the German Ageing Survey (wave 5 and 6 in the years 2014 and 2017), which is a representative survey of community-dwelling middle-aged and older adults. We included individuals ≥ 65 years (analytical sample: n = 5,682). PA was investigated using questions from the international physical activity questionnaire (IPAQ) and converted into metabolic equivalent of tasks (METs) per week. Changes in volunteering status in groups or organizations (yes/no) and their association with changes in PA were investigated in adjusted asymmetric fixed effects models stratified by sex.

Results

We found an association, between starting to volunteer and increased physical activity in older adults in the total sample (ß = 1,078.93, p = 0.052). This change reached significance for men (ß = 1,751.54, p = 0.016), but not for women (ß = 187.25, p = 0.832) in the stratified analyses. In the total sample, there was no association between stopping volunteering and decreases in PA (ß = -285.61, p = 0.543). This also held true in the stratified analyses for men (ß = -320.76, p = 0.583) and women (ß = -158.96, p = 0.845).

Conclusion

Our study identified an association between beginning to volunteer and increased physical activity among older men. Thus, beginning to volunteer may assist older men in increasing their physical activity levels.

Determinants of healthcare use based on the Andersen model: a study protocol for a systematic review of longitudinal studies

INTRODUCTION

A previous systematic review published in 2012 focused on the use of health services based on the Andersen model. Extending this review, we will exclusively focus on systematically synthesising longitudinal studies examining the determinants of healthcare use based on the Andersen model. Therefore, our aim of this systematic review is to provide an overview of longitudinal observational studies investigating the predictors of healthcare use explicitly using this model.

METHODS AND ANALYSIS

We will search three electronic databases (Medline, PsycINFO and CINAHL). Furthermore, reference lists will be searched manually. Longitudinal observational studies will be investigating the determinants of healthcare use (in terms of use of outpatient physician services (like general practitioner's visits or specialist visits in total) and hospitalisation). We will exclude disease-specific samples. Data extraction will focus on methods (eg, assessment of healthcare use), sample characteristics and main findings. A suitable tool will be used to assess the study quality. Study selection, data extraction and evaluation of study quality will be conducted by two reviewers. The findings will be presented by means of figures, summary tables, narrative summaries and meta-analysis (if possible).

ETHICS AND DISSEMINATION

No primary data will be collected. Therefore, approval by an ethics committee is not required. Our findings are planned to be published in a peer-reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42020193198.

Factors Associated with Dental Service Use Based on the Andersen Model: A Systematic Review

Background: A systematic review synthesizing studies examining the determinants of dental service use drawing on the (extended) Andersen model is lacking. Hence, our purpose was to fill this knowledge gap; Methods: Three established electronic databases (PubMed, PsycInfo, as well as CINAHL) were searched. Observational studies focusing on the determinants of dental service use drawing on the Andersen model were included; Results: In sum, 41 studies have been included (ten studies investigating children/adolescents and 31 studies investigating adults). Among children, particularly higher age (predisposing characteristic), higher income (enabling resource) and more oral health problems (need factor) were associated with increased dental service use. Among adults, findings are, in general, less consistent. However, it should be noted that one half of the studies found an association between increased education (predisposing characteristic) and increased dental service. In general, study quality was rather high. However, it should be noted that most studies did not report how they dealt with missing data; Conclusions: Our systematic review revealed that all components (i.e., predisposing characteristics, enabling resources and need factors) of the Andersen model tend to be associated with dental service use among children, whereas the findings are more mixed among adults. In conclusion, beyond need factors, dental service use also tend to be driven by other factors. This may indicate over—or, more likely—underuse of dental services and could enrich the inequality discussion in dental services research.

Personality, Healthcare Use and Costs-A Systematic Review

BACKGROUND

Thus far, there is a lack of a systematic review synthesizing empirical studies that analyze the link between personality factors and healthcare use (HCU) or costs. Consequently, the purpose of our systematic review is to give an overview of empirical findings from observational studies examining the association between personality factors and HCU or costs.

METHODS

PubMed, PsycINFO, and NHS EED (NHS Economic Evaluation Database) were searched. Observational studies examining the association between personality factors and HCU costs by using validated tools were included. Two reviewers performed study selection and data extraction and evaluated the study quality. Findings were synthesized qualitatively.

RESULTS

In total, n = 15 studies (HCU, n = 14; cost studies, n = 1) were included in the final synthesis. A few studies point to an association between conscientiousness and HCU (with mixed evidence). Some more evidence was found for an association between higher agreeableness, higher extraversion, and higher openness to experience and increased HCU. The majority of studies analyzed found a link between higher neuroticism and increased HCU.

CONCLUSION

Personality factors, and particularly neuroticism, are associated with HCU. This knowledge is important to manage healthcare use. However, future research based on longitudinal data and studies investigating the link between personality characteristics and costs are required.

Meaning in life and health care use: findings from a nationally representative study of older adults in Germany

Background

There is a lack of studies examining the link between meaning in life and health care use. Meaning in life refers to a sense of comprehension and significance in life. Consequently, the purpose of this study was to investigate the association between meaning in life and health care use.

Methods

Cross-sectional data from the German Ageing Survey, a nationally representative sample of older adults, was used for this study (in the analytical sample: n = 3850; year 2002). The frequency of GP and specialist visits in the past 12 months were used as outcome measures. Meaning in life was assessed using a single item measure. Based on Andersen’s model, covariates were selected. Sex, age, family status, occupational status, income, self-rated health, physical functioning, depressive symptoms, and the number of physical illnesses were adjusted for in a multiple regression analysis.

Results

After adjusting for various potential confounders, there was a positive association between meaning in life and GP (IRR: 1.04, 95%-CI: 1.01–1.08) as well as specialist visits (IRR: 1.07, 95%-CI: 1.02–1.12) in a multiple regression analysis. With the exception of employment status (retired vs. employed), income and need factors, no covariates were consistently associated with both outcome measures.

Conclusions

This study highlighted the association between meaning in life and health care use. Our results indicate that there are other factors that are associated with health care use, beyond need-variables. This might help to identify individuals at risk for under- or overuse of health care services.