Trends in healthy life expectancy between 2002 and 2018 in Germany - Compression or expansion of health-related quality of life (HRQOL)?

Trends in Healthy Life Years Between 2005 and 2019 in 31 European Countries: The Compression or Expansion of Morbidity?

Objectives

Our objective was to assess morbidity trends in Europe and to classify European countries based on population ageing theories: the compression, expansion and dynamic equilibrium of morbidity.

Methods

The proportions of healthy life years were calculated for 31 European countries for the period 2005-2019 based on life expectancy values and healthy life years at age 65 years adopted from the Eurostat database. European countries were classified according to morbidity patterns applying the standard deviation distance from the average of relative change method between the selected years.

Results

A large degree of variation in terms of life expectancy and healthy life years at age 65 years was determined between 2005 and 2019. While the life expectancy differences between men and women were consistent across all the European countries, the gender gap concerning healthy life years was more diverse. Approximately one-third of the countries fell into the expansion, compression and dynamic equilibrium categories, respectively.

Conclusion

Significant variations were identified in healthy life year trends across European countries, which underscores the need for preventive strategies.

[Regional differences and trends in healthy life expectancy in Germany]

BACKGROUND

Against the background of increasing life expectancy, the question arises in which state of health the additional years of life are spent. The aim of this study is to assess for the first time regional differences in healthy life expectancy for Germany.

METHODS

The concept of healthy life expectancy allows for the combination of regional differences in health status and mortality in a single measure. This article uses the concept of partial healthy life expectancy. We use official data on deaths and population numbers to calculate abridged life tables. Data from the Socio-Economic Panel (SOEP) are used to determine the age- and sex-specific prevalences of health status. Regional differences are analyzed from 2002 to 2019 by dividing Germany into four regions (North, South, East, West).

RESULTS

The regional differences in healthy life expectancy in Germany are greater than differences in life expectancy, and trends in healthy life expectancy partly differ from the corresponding trends in mortality. These differences over time also vary according to age: while healthy life expectancy has tended to stagnate and, in some cases, decline among the population aged between 20 and 64, the number and proportion of years in good health has increased among older adults up to the age of 79.

CONCLUSION

There are striking regional differences and trends in the distribution of expected years in good health in Germany. The timely identification of regionally divergent developments could facilitate the implementation of targeted health-promoting measures.

[How has life expectancy without functional limitations developed in Germany? An analysis with data from the German Ageing Survey (DEAS)]

INTRODUCTION

The long-term increase in life expectancy raises the question of whether the increased life expectancy is accompanied by an extension of years without health limitations. The study analyzes how life expectancy without functional and mobility limitations from the ages of 46 and 65 and their proportions of remaining life expectancy have changed since 2008.

METHODS

We analyze data from the German Ageing Survey of the 2008, 2014, and 2020/21 waves. Life expectancy without functional limitations (disability-free life expectancy-DFLE) was calculated using the Sullivan method. Severe functional limitations (using the Global Activity Limitation Indicator-GALI) and mobility limitations (climbing stairs, walking more than 1 km) were examined.

RESULTS

Compression of morbidity in the GALI has been observed in 46- and 65-year-old men since 2014, but not in women of the same age. In terms of mobility, 46- and 65-year-old men show trends towards compression when climbing stairs and 46-year-old men when walking more than 1 km since 2014. The values for women have stagnated for the first two indicators mentioned, but not for 46-year-old women since 2014 when walking more than 1 km.

DISCUSSION

Our analyses show different trends in DFLE depending on the indicator, age, and gender and do not allow a clear answer to the question of morbidity compression or expansion. We tend to see morbidity compression in men, whereas trends of stagnation or expansion tend to be seen in women. These results signal challenges in maintaining functional health, especially in women, and point to the need for targeted interventions to improve quality of life and healthy life expectancy.

Health-related quality of life in family caregivers of autistic adults

Introduction

Family members of autistic individuals often provide support for their autistic relative throughout the lifespan which can lead to massive burden themselves. Reduced health-related Quality of Life (HRQoL) in family caregivers is assumed; however, only a handful studies on the HRQoL of family caregivers providing care to adult relatives exist as opposed to autistic children. Thus, the current study aimed to (i) investigate the current state of physical and mental HRQoL of family caregivers of autistic adults compared to the general population, and (ii) examine caregiver-related (e.g., age, subjective caregiver burden) and care recipient-related variables (e.g., symptom severity, utilization of formal services) explaining variance in the caregivers' HRQoL.

Methods

N = 149 family caregivers completed a nationwide online survey, including the Short-Form Health Survey (SF-8) in order to assess the HRQoL. T-tests were used to compare the HRQoL of family caregivers with the general population. Bivariate correlational and multiple linear regression analyses were conducted in order to identify predictors explaining variance in family caregivers' HRQoL.

Results

Family caregivers of autistic adults reported significantly lower physical (M = 46.71, SD = 8.72, Cohen's d = 0.42) and mental HRQoL (M = 40.15, SD = 11.28, Cohen's d = 1.35) compared to the general population. Multiple linear regression with the mental HRQoL as the outcome showed a significant model (F(11, 95) = 5.53, p < .001, adj. R2 = .32) with increased subjective burden explaining most of the variance in mental HRQoL (ß = .32, GDW = .141, p < .001). Multiple linear regression analysis with the outcome physical HRQoL did not reveal a statistically significant model (F(11,95) = 1.09, p = .38). However, bivariate analyses also showed a positive correlation with the subjective caregiver burden (r= .20, p < .05).

Discussion

Findings highlight the need to consider HRQoL (and caregiver burden) of family caregivers of autistic adults in several healthcare settings to monitor a potential comprised health status in early stages, with the long-term goal to improve family caregivers' HRQoL.

Widening area-based socioeconomic inequalities in cancer mortality in Germany between 2003 and 2019

Cancer mortality has declined in recent decades, but-due to a lack of national individual-level data-it remains unclear whether this applies equally to all socioeconomic groups in Germany. Using an area-based approach, this study investigated socioeconomic inequalities in cancer mortality and their secular trends on a German nationwide scale for the first time. Official cause-of-death data from 2003 to 2019 were linked to the district-level German Index of Socioeconomic Deprivation. Age-standardised mortality rates for all cancers combined and the most common site-specific cancers were calculated according to the level of regional socioeconomic deprivation. To quantify the extent of area-based socioeconomic inequalities in cancer mortality, absolute (SII) and relative (RII) indices of inequality were estimated using multilevel Poisson models. On average, cancer mortality was 50% (women) and 80% (men) higher in Germany's most deprived than least deprived districts (absolute difference: 84 deaths per 100,000 in women and 185 deaths per 100,000 in men). As declines in cancer mortality were larger in less deprived districts, the socioeconomic gap in cancer mortality widened over time. This trend was observed for various common cancers. Exceptions were cancers of the lung in women and of the pancreas in both sexes, for which mortality rates increased over time, especially in highly deprived districts. Our study provides first evidence on increasing socioeconomic inequalities in cancer mortality on a nationwide scale for Germany. Area-based linkage allows to examine socioeconomic inequalities in cancer mortality across Germany and identify regions with high needs for cancer prevention and control.

Living longer, working longer: analysing time trends in working life expectancy in Germany from a health perspective between 2002 and 2018

Population ageing poses growing challenges to social security systems, in particular to public pension funds. The study analyses how Working Life Expectancy (WLE) and Healthy Working Life Expectancy (HWLE) in terms of three health indicators developed in Germany. Based on the German Socio-Economic Panel (GSOEP) from 2002 to 2018 (n = 211,141), time trends in labour force rates, mental and physical Health-Related Quality of Life (HRQoL), self-rated health (SRH) and the respective combinations (health indicator*labour force) were analysed for all respondents aged 18-74. WLE and HWLE were calculated using the Sullivan method. WLE and HWLE in men and women at age 18 and 50 clearly increased over time. These increases in HWLE were found in terms of all three health indicators. This development was mainly driven by the clear increase of the labour force rates, since the shares of individuals with good and satisfactory SRH or average and good HRQoL remained largely stable over time. The results show that from a health perspective there have been potentials for increases in WLE during the past two decades and that increasingly more healthy life years are spent economically active. However, life years in the labour force but in poor health have increased, too. The absence of clear improvements in health emphasises the importance of current and future preventive measures to maintain health, especially among the middle-aged and older labour force.