Health situation in Germany during the COVID-19 pandemic. Developments over time for selected indicators of GEDA 2019/2020 - An update.

The spread of the coronavirus SARS-CoV-2 in 2020 and the containment measures associated therewith have changed many aspects of daily life. An impact on health even beyond infections itself is assumed as well. The health situation of the population in the first phase of the pandemic was thus analysed using data from the German Health Update (GEDA 2019/2020-EHIS). By continuing the survey, the analyses for 2020 are completed (n=26,507 participants), whereby the focus is now on the third phase of the pandemic (second wave of infection, gradual reintroduction of containment measures). The health indicators are presented on a monthly basis. As in the first phase of the pandemic, no pandemic-related changes were observed for tobacco smoking/ second-hand smoke exposure and for received/lack of/provided support. In contrast to the first phase of the pandemic, declines in utilisation of medical services and depressive symptoms are not observed in the third phase. The increase in body weight/body mass index after the first phase of the pandemic did not continue. The survey period allows for a comparison of the periods before and as of the pandemic situation. A decrease in the medical services utilisation and depressive symptoms as well as an increase in the body weight/body mass index is observed in the period from March 2020 to January 2021 compared to the pre-pandemic period from April 2019 to March 2020.

Developments in the health situation in Germany during the initial stage of the COVID-19 pandemic for selected indicators of GEDA 2019/2020-EHIS.

SARS-CoV-2, the novel coronavirus, has posed major challenges in Germany in 2020. It is unclear whether the pandemic and containment measures will have an impact on the health of the population beyond the point of infection. The German Health Update (GEDA 2019/2020-EHIS) is a nationwide survey of the population aged 15 years and older (n=23,001) that was conducted between April 2019 and September 2020. The focus of the analysis was on indicators for which pandemic-related changes could be expected. Based on regression models, adjusted proportions and mean values were estimated as trends over time. Any differences in the values found for the time period of containment measures in spring 2020 and the reference period 2019 were statistically tested. Since the implementation of containment measures, both body weight and body mass index (BMI) have increased. The utilisation of general and specialist medical services decreased temporarily. The number of tobacco smokers during the observation period also decreased, yet without revealing a clear link to the pandemic situation. No differences were found in the general population for depressive symptoms and household assistance received and provided. During the period of containment measures, changes to the health situation beyond the occurrence of infections can be observed. However, a more differentiated explanation of these findings will require further analyses.

30 years after the fall of the Berlin Wall: Regional health differences in Germany.

Following the fall of the Berlin Wall in November 1989, considerable effort was made to bring the living conditions and levels of social participation in the former East German federal states into line with the former West German federal states. As a result, differences in health between the East and the West diminished significantly, in many cases as early as the 1990s, examples being life expectancy and cardiovascular mortality. In regard to health behaviour, the overall tendency has also clearly been one of convergence. Thus, only very small differences can be observed today, for example in the use of tobacco or in the prevalence of obesity. Yet the results also highlight the insufficiency of regarding the remaining differences as a simple comparison between East and West. Instead, the focus should shift towards smaller-scale approaches that take regional differences in living conditions into account.

[Potentials in the regionalization of health indicators using small-area estimation methods : Exemplary results based on the 2009, 2010 and 2012 GEDA studies]. / Möglichkeiten der Regionalisierung von Gesundheitsindikatoren mit Small-Area-Estimation : Exemplarische Ergebnisse auf Basis der GEDA-Studien 2009, 2010 und 2012.

Nationwide health surveys can be used to estimate regional differences in health. Using traditional estimation techniques, the spatial depth for these estimates is limited due to the constrained sample size. So far - without special refreshment samples - results have only been available for larger populated federal states of Germany. An alternative is regression-based small-area estimation techniques. These models can generate smaller-scale data, but are also subject to greater statistical uncertainties because of the model assumptions. In the present article, exemplary regionalized results based on the studies "Gesundheit in Deutschland aktuell" (GEDA studies) 2009, 2010 and 2012, are compared to the self-rated health status of the respondents. The aim of the article is to analyze the range of regional estimates in order to assess the usefulness of the techniques for health reporting more adequately. The results show that the estimated prevalence is relatively stable when using different samples. Important determinants of the variation of the estimates are the achieved sample size on the district level and the type of the district (cities vs. rural regions). Overall, the present study shows that small-area modeling of prevalence is associated with additional uncertainties compared to conventional estimates, which should be taken into account when interpreting the corresponding findings.

[Employment, family and health in men of working age in Germany : Results of the GEDA studies 2009-2012]. / Erwerbsarbeit, Familie und Gesundheit bei Männern im erwerbsfähigen Alter in Deutschland : Ergebnisse der GEDA-Studien 2009 bis 2012.

BACKGROUND: Today's men want to participate in their children's upbringing more than in the past, but they are heavily involved in their occupation at the same time. This article describes the significance of parenthood, partnership and occupation in relation to health and health behaviours among men of working age in Germany. DATA: We summarised data from the "German Health Update" (GEDA) studies conducted in 2009, 2010 and 2012. Data on 18,465 men aged 18-64 years were available, 11,429 of which were living with children. We included mental health problems, general health awareness, sports activity and smoking as outcomes. RESULTS: Full-time employees working more than 48 h per week and unemployed persons had mental health problems more frequently (OR 1.44 and 2.35, p < 0.05) than full-time employees working 48 h or fewer. Similar associations can be shown for health awareness, physical activity and smoking. Concerning partnership and parenthood, the associations were considerably weaker: men living together with children and a partner in the household were overall less burdened and their behaviour was also healthier than single men without children. After simultaneous consideration of employment status, parenthood and partnership, our results show that the unemployed and employees with long working hours were the most burdened. DISCUSSION: The results provide supporting evidence regarding health problems of men in Germany due to unemployment and long working hours that are of importance for their health whether they are living with a partner and/or with children or not. The association between health and occupation was stronger than between health and fatherhood or partnership.

[Unemployment and Health: An overview of current research results and data from the 2010 and 2012 German Health Update]. / Arbeitslosigkeit und ihre Auswirkungen auf die Gesundheit : Ein Überblick zum Forschungsstand und zu aktuellen Daten der Studien GEDA 2010 und GEDA 2012.

This study analyzes the association of unemployment and health using national and international research data. It is based on data from the 2010 and 2012 German Health Update (GEDA), conducted by the Robert Koch Institute. For our analysis, participants aged from 18 to 64 years were selected if they gave information on their unemployment experiences within the five years prior to the study (n = 31,955). The results show that the self-rated health of the unemployed in Germany is significantly worse compared to the workforce. Additionally, the unemployed suffer from medically diagnosed depression. The association of unemployment and health is more pronounced in men than in women for all major outcomes. When compared to workers of the same age, the unemployed smoke more frequently and do less sports. Regarding alcohol consumption, no systematic relationship was found. While the use of medical screening measures for the early detection of diseases is lower among the unemployed than among the employed, they visit general practitioners and hospitals more often than their counterparts. Overall, our findings suggest that unemployed people should remain an important target group of preventive measures in Germany and that the corresponding measures should be intensified.

Population-wide use of behavioural prevention and counselling programmes for lifestyle-related cardiovascular risk factors in Germany.

BACKGROUND: Behavioural prevention and counselling programmes for lifestyle-related cardiovascular risk factors are widely offered. However, their population-wide use is largely unexplored, particularly in high-risk persons with known CVD or diabetes. METHODS: Data were collected within GEDA 2009, a national health survey covering a representative sample of 21,262 adults in Germany. Standardised structured computer-assisted telephone interviews included self-reported physician-diagnosed coronary heart disease, myocardial infarction, heart failure, stroke, diabetes as well as height, weight, usual diet, physical activity, and the use of programmes for weight reduction, healthy diet and improvement of fitness or mobility in the last twelve months. RESULTS: The use of prevention measures was lowest for weight reduction (men 2.1%, women 3.5%), somewhat higher for healthy diet (men 3.2%, women 4.7%), and highest for improvement of fitness or mobility (men 8.6%, women 16.1%). Among individuals with the respective risk factor, programme participation was still low: 5.5% in obese men (women 7.2%) for weight reduction, 2.8% in men (women 3.7%) who did not eat fruit or vegetables daily for healthy diet, and 7.9% in physically inactive men (women 15.7%) for improvement of fitness or mobility. In the presence of known CVD or diabetes, participation increased inconsistently and only moderately. CONCLUSION: Our results show low participation in behavioural prevention measures for lifestyle-related risk factors even in individuals with known CVD or diabetes. Further studies should investigate knowledge about potential programme benefit, availability and reimbursement in both patients and health care providers.