Cross-sectional estimates of population health from the Survey of Health and Retirement in Europe (SHARE) are biased due to health-related sample attrition

Muszyńska-Spielauer, Magdalena; Spielauer, Martin

doi:10.1016/j.ssmph.2022.101290

Cited by 6 publications

(5 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Another potential bias arises from cross-sectional estimates based on longitudinal studies (e.g. SHARE) for the inability to account for temporal changes and the dynamic nature of the variables 56 , particularly considering regional changes, as the number of waves and refreshment samples differs across the countries in SHARE. Additionally, we tested only age and sex as potential moderators.…”

Section: Discussionmentioning

confidence: 99%

“…This discrepancy may lead to underestimation of the associations we found. Moreover, it has been observed that older respondents with worse health-status are more likely to drop out from the longitudinal study 56 . Another potential bias, which has already been observed in SHARE data, is country-specific discrepancy in reporting of health by education 57 .…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Educational attainment and anxiety in middle-aged and older Europeans

Chlapecka,

Wolfová,

Fryčová

et al. 2023

Sci Rep

View full text Add to dashboard Cite

We examined the relationship between educational attainment (EA) and anxiety symptoms in a sample of 77,792 individuals (median age = 64 years, 55% female) from the Survey of Health, Ageing and Retirement in Europe. Using logistic regression, we estimated odds ratio (OR) with 95% confidence interval (CI) for the association between EA (7 educational levels based on International Standard Classification of Education) and anxiety symptoms (12 or more points from the shortened 5-item version of the Beck Anxiety Inventory), adjusting for sociodemographic and health-related factors. We further explored whether the relationship varied by region, sex and age group. Independent of sociodemographic and health-related factors, higher levels of EA were associated with lower odds of anxiety symptoms. The magnitude of this association plateaued at first stage of tertiary education (OR 0.40; 95% CI 0.35–0.47, p < 0.001). The association was stronger in females, middle-aged individuals and in Central and Eastern Europe while not apparent in Northern Europe. Our findings suggest that individuals with higher education might be protected against anxiety throughout life. The protective effect of education against anxiety symptoms is more pronounced in less egalitarian regions and in females.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Educational attainment and anxiety in middle-aged and older Europeans

Chlapecka,

Wolfová,

Fryčová

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Another limitation may be that selective attrition may bias our results, which is common in longitudinal studies focusing on older adults [65]. Since attrition in older age groups is more related to decreased health status [66], the participants in our longitudinal sample may have better general and oral health than the general older population. Although, there were no demographic differences between participants who remained in the study and those who were not available across all waves, with the only exception for education-those who were not eligible to the longitudinal setting were less educated.…”

Section: Strength and Limitationsmentioning

confidence: 99%

Trends in dental care utilisation among the elderly using longitudinal data from 14 European countries: A multilevel analysis

Kovács,

Liska,

Idara-Umoren

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

Background The use of dental care among older people is low compared to other forms of health care, with significant health consequences. However, the evidence on the extent to which countries’ welfare systems and socio-economic factors influence the uptake of dental care by older people is limited. This study aimed to describe trends of dental care utilisation, and to compare use of dental care with other types of healthcare services among the elderly, considering different socio-economic factors and welfare systems in European countries. Methods Multilevel logistic regression analysis was performed using longitudinal data from four waves (between Wave 5 and 8) of the Survey of Health, Ageing and Retirement in Europe database, with a follow-up period of 7 years. The study sample included 20,803 respondents aged 50 years or older from 14 European countries. Results The annual dental care attendance was the highest in Scandinavian countries (85.7%), however, improving trends of dental attendance was recognized in Southern and Bismarckian countries (p<0.001). The difference in use of dental care services between socio-economic groups was expanding over time regarding low- and high-income level and residential area. A more marked difference was observed between social groups in dental care utilisation compared to other forms of care. Income level and unemployed status had significant effect on forgoing dental care due to cost and unavailability. Conclusion The observed differences between socioeconomic groups may highlight the health consequences of the different organization and financing of dental care. The elderly population could benefit from adopting policies aiming to reduce the financial barriers to dental care usage, especially in Southern and Eastern European countries.

show abstract

“…B. [14][15][16][17]). Zur konkreten Veranschaulichung des Ausmaßes der möglichen Verzerrungen werden in diesem Beitrag daher 3 konzeptionelle Aspekte…”

Section: Hintergrundunclassified

Healthy life expectancy: a critical look at the benefits and potential of the demographic health indicator

Luy

2024

Bundesgesundheitsbl

View full text Add to dashboard Cite

ZusammenfassungDie demographische Alterung hat vielfältige gesellschaftliche Konsequenzen, deren Ausmaß wesentlich vom Gesundheitszustand der Bevölkerung abhängt. Um diesen analysieren und bewerten zu können, wurden spezielle Kennziffern entwickelt, die in diesem Beitrag mit dem Überbegriff „gesunde Lebenserwartung“ (GLE) bezeichnet werden. Die Herleitung der GLE ist zwar intuitiv und leicht nachvollziehbar. Allerdings verdeckt eine zu einfache Interpretation die große Komplexität, die der Erweiterung der Sterbetafel um die Gesundheitsdimension innewohnt. Diese macht die GLE im Vergleich zur klassischen Lebenserwartung (LE) extrem empfindlich gegenüber verschiedensten konzeptionellen und methodischen Aspekten. In dem Beitrag wird dies für 3 Aspekte genauer dargestellt: die zugrunde liegende Definition von Gesundheit, die Wahl der Datenquelle als Grundlage für die Schätzung des Gesundheitszustands und das Berichtsverhalten der Survey-Teilnehmer. Dabei zeigt sich, dass die Auswirkung auf die GLE enorm sein kann, was zu erheblichen Verzerrungen bei der Interpretation von Niveaus und Trends, aber auch bei der Analyse von Unterschieden zwischen Bevölkerungen führt. Nichtsdestotrotz ist die Erweiterung der klassischen LE zur GLE eine wichtige Errungenschaft, die nicht aufgegeben werden darf. Deswegen werden in dem Beitrag auch Möglichkeiten diskutiert, wie der GLE-Indikator robuster und zuverlässiger gemacht werden könnte. Bis dies erreicht ist, darf die hohe methodische Sensibilität der GLE aber nicht ignoriert werden, wenn man mit ihr den Gesundheitszustand von Bevölkerungen bewertet und sie als Grundlage für gesundheitspolitische Maßnahmen herangezogen wird.

show abstract

Cross-sectional estimates of population health from the Survey of Health and Retirement in Europe (SHARE) are biased due to health-related sample attrition

Cited by 6 publications

References 32 publications

Educational attainment and anxiety in middle-aged and older Europeans

Educational attainment and anxiety in middle-aged and older Europeans

Trends in dental care utilisation among the elderly using longitudinal data from 14 European countries: A multilevel analysis

Healthy life expectancy: a critical look at the benefits and potential of the demographic health indicator

Contact Info

Product

Resources

About