ABSTRACT
Background: The living situation of single parents is often characterised by sole responsibility for family and household, problems in reconciling work and family life, and a high risk of poverty. In a comparative perspective with parents in partner households, the health of single mothers and fathers was analysed, considering differences in their social status. Methods: The analyses are based on data from the GEDA studies 2019 - 2023 (7,999 women, 6,402 men). Prevalences for single mothers and fathers and mothers and fathers living in partner households were calculated for self-rated health, chronic diseases, depressive symptoms, smoking and utilisation of professional help for mental health problems. In multivariate models, adjustments were made for income, education, employment status and social support, and interactions with family type were included. Results: Single mothers and fathers show higher prevalences for all health indicators in comparison to parents living in partner households. Also after adjustment, the differences between family types remain significant. The health of single mothers also varies partially with income, employment status and social support. Conclusions: Health promotion measures have to consider that single parents are a heterogeneous group. In addition to strengthening personal skills, policy and setting-based interventions aim to reduce health inequalities.
ABSTRACT
[This corrects the article on p. 2,21 in vol. 9, PMID: 38282983.].
ABSTRACT
[This corrects the article DOI: 10.25646/11992.2.].
ABSTRACT
Background: The health situation of people with a history of migration is influenced by a variety of factors. This article provides an overview of the health of people with selected citizenships using various indicators. Methods: The analyses are based on the survey 'German Health Update: Fokus (GEDA Fokus)', which was conducted from November 2021 to May 2022 among people with Croatian, Italian, Polish, Syrian and Turkish citizenship. The prevalence for each health outcome is presented and differentiated by sociodemographic and migration-related characteristics. Poisson regressions were performed to identify relevant factors influencing health situation. Results: Self-assessed general health, the presence of depressive symptoms, prevalence of current smoking and the utilisation of general and specialist healthcare differed according to various factors considered here. In addition to sociodemographic determinants, the sense of belonging to society in Germany and self-reported experiences of discrimination were particularly associated with health outcomes. Conclusions: This article highlights the heterogeneity of the health situation of people with a history of migration and points to the need for further analyses to identify the reasons for health inequalities.
ABSTRACT
OBJECTIVE: There is evidence that psychological distress increases the risk of type 2 diabetes (T2D), but implications for prevention remain elusive. We examined the association between chronic stress and the German Diabetes Risk Score (GDRS) among adults without diabetes in Germany. METHODS: The study population consisted of 4654 persons aged 18 to 64 years without known diabetes drawn from the German Health Interview and Examination Survey for Adults (2008-2011). The predicted 5-year T2D risk (in percent) was estimated using the GDRS. Perceived chronic stress was assessed by the Screening Scale of the Trier Inventory for the Assessment of Chronic Stress and categorized into "up to average," "above average," and "high." The cross-sectional association of chronic stress with log-transformed GDRS (expressed as geometric mean ratio [GMR]) was analyzed in multivariable linear regression models. Covariables included age, sex, community size, region, educational level, living alone, social support, depression, and alcohol use. RESULTS: The mean predicted 5-year T2D risk rates were 2.7%, 2.9%, and 3.0% for chronic stress up to average, above average, and high chronic stress, respectively. Adjusted mean predicted 5-year risk was significantly higher among persons with chronic stress above average (GMR = 1.10, 95% confidence interval = 1.02-1.19) and high stress (GMR = 1.21, 95% CI = 1.06-1.39) compared with persons with chronic stress up to average. No interactions with sex or other covariables were found. CONCLUSIONS: Perceived chronic stress is independently associated with an increased predicted T2D risk in cross-sectional analysis and should be considered as T2D risk factor in longitudinal studies.
Subject(s)
Diabetes Mellitus, Type 2 , Adult , Humans , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/complications , Cross-Sectional Studies , Risk Factors , Longitudinal Studies , Surveys and Questionnaires , Germany/epidemiologyABSTRACT
Inflammation and metabolic dysregulations are likely to underlie atypical, energy-related depressive symptoms such as appetite and sleep alterations. Indeed, increased appetite was previously identified as a core symptom of an immunometabolic subtype of depression. The aim of this study was 1) to replicate the associations between individual depressive symptoms and immunometabolic markers, 2) to extend previous findings with additional markers, and 3) to evaluate the relative contribution of these markers to depressive symptoms. We analyzed data from 266 persons with major depressive disorder (MDD) in the last 12 months from the German Health Interview and Examination Survey for Adults and its mental health module. Diagnosis of MDD and individual depressive symptoms were determined by the Composite International Diagnostic Interview. Associations were analyzed using multivariable regression models, adjusting for depression severity, sociodemographic/behavioral variables, and medication use. Increased appetite was associated with higher body mass index (BMI), waist circumference (WC), insulin, and lower high-density lipoprotein. In contrast, decreased appetite was associated with lower BMI, WC, and fewer metabolic syndrome (MetS) components. Insomnia was associated with higher BMI, WC, number of MetS components, triglycerides, insulin, and lower albumin, while hypersomnia was associated with higher insulin. Suicidal ideation was associated with higher number of MetS components, glucose, and insulin. None of the symptoms were associated with C-reactive protein after adjustment. Appetite alterations and insomnia were most important symptoms associated with metabolic markers. Longitudinal studies should investigate whether the candidate symptoms identified here are predicted by or predict the development of metabolic pathology in MDD.
Subject(s)
Depressive Disorder, Major , Insulins , Metabolic Syndrome , Sleep Initiation and Maintenance Disorders , Adult , Humans , Depressive Disorder, Major/diagnosis , Depression , Sleep Initiation and Maintenance Disorders/epidemiology , Metabolic Syndrome/metabolismABSTRACT
BACKGROUND: .Summary measures such as disability-adjusted life years (DALY) are becoming increasingly important for the standardized assessment of the burden of disease due to death and disability. The BURDEN 2020 pilot project was designed as an independent burden-of-disease study for Germany, which was based on nationwide data, but which also yielded regional estimates. METHODS: DALY is defined as the sum of years of life lost due to death (YLL) and years lived with disability (YLD). YLL is the difference between the age at death due to disease and the remaining life expectancy at this age, while YLD quantifies the number of years individuals have spent with health impairments. Data are derived mainly from causes of death statistics, population health surveys, and claims data from health insurers. RESULTS: In 2017, there were approximately 12 million DALY in Germany, or 14 584 DALY per 100 000 inhabitants. Conditions which caused the greatest number of DALY were coronary heart disease (2321 DALY), low back pain (1735 DALY), and lung cancer (1197 DALY). Headache and dementia accounted for a greater disease burden in women than in men, while lung cancer and alcohol use disorders accounted for a greater disease burden in men than in women. Pain disorders and alcohol use disorders were the leading causes of DALY among young adults of both sexes. The disease burden rose with age for some diseases, including cardiovascular diseases, dementia, and diabetes mellitus. For some diseases and conditions, the disease burden varied by geographical region. CONCLUSION: The results indicate a need for age- and sex-specific prevention and for differing interventions according to geographic region. Burden of disease studies yield comprehensive population health surveillance data and are a useful aid to decision-making in health policy.
Subject(s)
Alcoholism , Dementia , Disabled Persons , Male , Young Adult , Humans , Female , Quality-Adjusted Life Years , Pilot Projects , Cost of Illness , Germany/epidemiologyABSTRACT
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.
ABSTRACT
AIMS: There is evidence for an increased type 2 diabetes (T2D) risk associated with depression, but its role for diabetes prevention remains unclear. This study aimed to add insight by investigating the impact of major depressive disorder (MDD) on prospective glycaemic changes. METHODS: The study was based on a cohort of n = 1,766 adults without diabetes (776 men, 990 women; 18-65 years of age) who participated in the mental health supplement of the German National Health Interview and Examination Survey (GNHIES98-MHS, 1997-1999) and in a follow-up survey (DEGS1, 2008-2011). Glycaemic status was defined as normoglycaemia [HbA1c < 39 mmol/mol (<5.7%)], prediabetes [39 ≤ HbA1c < 48 mmol/mol (5.7-6.4%)] and diabetes [HbA1c ≥ 48 mmol/mol (≥ 6.5%), diagnosed diabetes, or antidiabetic medication], and glycaemic changes categorized as 'remission', 'stability' and 'progression'. Baseline MDD was assessed via a modified German version of the WHO Composite International Diagnostic Interview. Multivariable logistic regressions were applied to analyse the association of MDD with glycaemic changes and incident T2D, adjusting for socio-demographics, lifestyle conditions, chronic diseases, antidepressant use and mental health care. RESULTS: MDD prevalence was 21.4% for women and 8.9% for men. Among women, MDD was associated with a lower chance for remission (RRR 0.43; 95% CI 0.23, 0.82). Among men, MDD was not significantly related to glycaemic changes. MDD had no significant effect on incident T2D (men: OR 1.58; 0.55, 4.52; women: OR 0.76; 0.37, 1.58). CONCLUSIONS: Findings of the current study highlight the role of depression in T2D prevention, particularly among women.
Subject(s)
Blood Glucose/metabolism , Depressive Disorder, Major/blood , Diabetes Mellitus, Type 2/blood , Glycated Hemoglobin/metabolism , Prediabetic State/blood , Adolescent , Adult , Aged , Cohort Studies , Depressive Disorder, Major/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/psychology , Female , Germany/epidemiology , Humans , Logistic Models , Male , Middle Aged , Prediabetic State/epidemiology , Prediabetic State/psychology , Prevalence , Sex Distribution , Surveys and Questionnaires , Young AdultABSTRACT
BACKGROUND: Depression and obesity are common health problems with major public health implications. These conditions frequently co-occur, adversely affecting the course of the other. The sociodemographic and socioeconomic risk factors for comorbid depression and obesity in the German adult population have not yet been reported. METHODS: We analyzed the prevalence and sociodemographic and socioeconomic correlates of comorbid depression and obesity using cross-sectional data from the national German health interview and examination survey for adults (DEGS1; n = 7987) and its mental health module (DEGS1-MH; n = 4493). The Composite International Diagnostic Interview was used to diagnose major depressive disorder (CIDI-MDD). Sensitivity was analyzed using the self-reported depression measure and current depressive symptoms measured by Patient Health Questionnaire-9 (PHQ-9). Obesity was defined by body mass index calculated from measured data. RESULTS: Prevalence of comorbid depression and obesity was 1.3% (95% CI 0.8-2.0) in men and 2.0% (95% CI 1.3-3.0) in women. We found significant sex differences in results from the self-reported depression measure and the PHQ-9, but not from the CIDI-MDD. Low socioeconomic status and poor social support were linked to a higher prevalence of comorbid depression and obesity among women. LIMITATIONS: Severe depression may have been underreported. CONCLUSIONS: Depression is statistically more prevalent in women than in men, which accounts for many of the sex differences in the prevalence of comorbid depression and obesity in our models. Targeted public health strategies need to be developed to prevent and treat comorbid depression and obesity in women with a low socioeconomic position.
Subject(s)
Depressive Disorder, Major , Adult , Comorbidity , Cross-Sectional Studies , Depression/epidemiology , Depressive Disorder, Major/epidemiology , Female , Germany/epidemiology , Humans , Male , Obesity/epidemiology , Prevalence , Social ClassABSTRACT
Background: Study results on the impact of the COVID-19 pandemic on mental health in the first year of the pandemic are contradictory. The GEDA 2019/2020 study makes it possible to examine changes in depressive symptoms in the population. Methods: A standardised telephone interview was used to survey a random sample of the population in Germany aged 15 and older. To exclude seasonal effects, 10,220 interviewees from the period April 2019 to January 2020 were compared with 11,900 from the period April 2020 to January 2021. Depressive symptoms were assessed with the internationally established 8-item Patient Health Questionnaire (PHQ-8). Results: The prevalence of depressive symptoms decreased from 9.2% to 7.6% in the first year of the pandemic. Changes differ between women and men as well as between age and education groups. The analysis of individual symptoms suggests that it is not about a reduction of mental disorders of the depressive type in the narrower sense, but rather a decrease in stress-associated individual symptoms. Conclusions: The decrease in stress-associated depressive symptoms in parts of the population can be interpreted as an indication that pandemic-related changes in everyday life and the working environment may have had a positive effect on individual areas of mental health in certain groups, at least temporarily in the first year of the pandemic. The continuing strong social inequality in depressive symptoms to the disadvantage of low education groups confirms that the need for social situation-related health promotion and prevention with regard to the living and working conditions of socially disadvantaged people must not be lost sight of in times of pandemic. For groups in the population that partly showed a worsening of symptoms in this phase of the pandemic, e.g. the diminished ability to concentrate of very old men, targeted support options should be created in the future.
ABSTRACT
The COVID-19 pandemic is posing major challenges to the health care sector. This scoping review compiles evidence concerning changes to health care service availability and utilisation as well as possible impacts on health for selected groups of chronically ill people in Germany. The focus is on cancer, cardiovascular diseases, diabetes mellitus and mental disorders. Most empirical data available concerned inpatient care and showed a clear decline in the utilisation of inpatient treatments in March and April 2020 in the areas of oncology and cardiology as well as in mental health. For cardiovascular emergencies such as heart attack and stroke, a decline was observed especially regarding less serious cases. Although there were indications of treatment delays, there was no evidence thus far that emergency care had been generally compromised due to adjustments to inpatient care capacities. In the outpatient setting, extensive adjustments to health care services availability were observed for all disease groups considered. Overall, very limited empirical data were available. In particular, hardly any data were available on how changes in care impacted population health. There is an urgent need for continuous surveillance and evaluation based on health care and epidemiological data.
ABSTRACT
In this article, we examine selected health indicators for the adult population aged 18 years and older in Germany (n=22,708) from the German Health Update (GEDA 2019/2020-EHIS) conducted between April 2019 and September 2020. These indicators include those of self-assessed health and depressive symptoms as well as chronic physical diseases and conditions. In young adulthood (18 to 44 years), over 80% of participants report good or very good subjective health. During this phase of life, most chronic diseases and conditions are rare, although allergies are frequent, and bronchial asthma and depressive symptoms are not uncommon. From mid adulthood (45 years and older), there is a gradual increase in the prevalence of chronic diseases such as cardiovascular disease, diabetes, chronic obstructive pulmonary disease and osteoarthritis. Over 60% of older adults (65 years and older) report a chronic disease or long-term health problem, while only half continue to report good or very good subjective health. During this stage of life, allergies and depressive symptoms become less prevalent. For some diseases, there are also differences according to gender and level of education. This article demonstrates the high public health relevance of age-associated chronic physical diseases and health related limitations in everyday life in an ageing society as well as the need to provide care for certain health conditions already in young adulthood.
ABSTRACT
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.
ABSTRACT
[This corrects the article on p. 3-20 in vol. 5.].
ABSTRACT
OBJECTIVE: The Alcohol Use Disorders Identification Test (AUDIT) is an established screening questionnaire for the detection of at-risk drinking and possible alcohol use disorders (AUD) according to the Diagnostic and Statistical Manual of Mental Disorders - fourth edition (DSM-IV). But there are still no comparable results on the diagnostic performance regarding the new criteria for AUD in the Diagnostic and Statistical Manual of Mental Disorders - fifth edition (DSM-5), especially taking account of possible gender differences. We evaluated the performance of the full AUDIT and the consumption questions (AUDIT-C) in screening for DSM-5 AUD and at-risk drinking. METHOD: Data from the study Transitions in Alcohol Consumption and Smoking (TACOS) is used to analyze the area under the receiver-operating characteristic curve, sensitivity, and specificity of the AUDIT and the AUDIT-C in the general population of northern Germany. DSM-5 AUD and at-risk drinking were assessed with the Munich-Composite Diagnostic Interview and used as gold standards. RESULTS: The best balance between sensitivity and specificity is achieved at a score of 5 for men and 4 for women. High severity, according to DSM-5, were associated with higher cut-offs. CONCLUSIONS: Both AUDIT versions are accurate in the screening for DSM-5 AUD. Since the proposed cut-offs do not differ from the optimal screening cut-offs for DSM-IV disorders, current screening procedures should not face major changes.
Subject(s)
Alcohol Drinking/epidemiology , Alcoholism/diagnosis , Psychiatric Status Rating Scales/statistics & numerical data , Adolescent , Adult , Alcoholism/epidemiology , Diagnostic and Statistical Manual of Mental Disorders , Female , Germany/epidemiology , Humans , Male , Middle Aged , ROC Curve , Sensitivity and Specificity , Sex Factors , Surveys and Questionnaires/statistics & numerical data , Young AdultABSTRACT
OBJECTIVE: The study examines, if the increase in self-reported clinician diagnosed depression appears throughout the whole population and to what extent it can be explained by changes in the population structure over time. METHODS: Stratified trend analysis of survey data from 2009 and 2012, adjusted for population characteristics. RESULTS: 12-month-prevalence of self-reported clinician diagnosed depression rose from 6.3â% up to 8.0â%. The trend can be observed in all population sub-groups and dropped by 13.5â% with adjustment. CONCLUSION: The increase in prevalence is not limited to groups at risk and can only partly be explained by their development over time.
Subject(s)
Depression , Cross-Sectional Studies , Depression/diagnosis , Depression/epidemiology , Germany , Health Surveys , Humans , Prevalence , Self Report , Surveys and QuestionnairesABSTRACT
BACKGROUND: While national health insurance companies in Germany have reported increasing frequencies of depression and growing costs since the first reports approximately 20 years ago, the prevalence from epidemiological field studies has remained stable in the general population. This study examined time trends in help-seeking behaviour for depression based on data from the German health monitoring programme at the Robert Koch Institute. METHODS: Data were obtained from the mental health module of the German Health Interview and Examination Survey for Adults (DEGS1-MH, 2009-2012, 18-65 years, nâ¯= 3320) and the mental health supplement of the German National Health Interview and Examination Survey 1998 (GHS-MHS, 1997-1999; 18-65 years, nâ¯= 4181). Persons with 12-month major depressive disorder standardized according to DSM IV were identified based on the WHO Composite International Diagnostic Interview (CIDI) and asked for information on service utilization due to mental health problems by type of sector and service provider (GHS-MHS: nâ¯= 346, DEGS1-MH: nâ¯= 229). RESULTS: Overall, there were no significant time trends with respect to self-reported service utilization. Help seeking by men with depression increased in making contact with respect to psychotherapy and psychology options. Worrying about stigmatization and lack of knowledge about professional help were identified as individual barriers for help seeking and nearly one quarter reported access barriers. CONCLUSION: Overall, increasing frequencies of depression in the German healthcare system cannot be solely attributed to changes in help-seeking behavior of people with depression. Self-reported barriers of service utilization and divergences between primary and secondary data indicate the need of further evaluation and optimization of mental healthcare provision in Germany.
Subject(s)
Depression/epidemiology , Depressive Disorder, Major/epidemiology , Help-Seeking Behavior , Patient Acceptance of Health Care , Adult , Aged , Female , Germany/epidemiology , Health Surveys , Humans , Male , Mental Disorders , Middle Aged , Prevalence , Young AdultABSTRACT
AIM: There are differences in the prevalence estimates of depressive disorders based on primary and secondary data. The reasons for this are, for instance, the use of divergent indicators and varying observation periods. This study examines the prevalence of depressive disorders using survey and routine data for a comparable survey period and age range. Effects of differences between data sources and indicators are estimated. METHODS: For 2010, 3 indicators are compared: in a population survey collected a) self-reported medical diagnosis of depression, b) diagnosis of depressive disorders identified by clinical interviews and c) administrative depression diagnoses collected from routine data of a statutory health insurance. In sensitivity analyses, privately insured participants of the population survey were excluded, and insured persons with care needs were excluded from routine data. The definition of administrative depression diagnosis was varied depending on the frequency of coded diagnoses and the specificity of the diagnoses. RESULTS: The highest prevalence (9.8%) was found for depression diagnoses from administrative data, the lowest prevalence (5.9%) in self-reported medical diagnoses of depression in the population survey. The prevalence of depression identified by clinical interviews was 8.4%. Differing age and gender-related courses of illness were found. The administrative prevalence dropped significantly if unspecific diagnoses (F3x.8, F3x.9) were excluded. DISCUSSION: Depending on the definition of depression diagnoses used in administrative data, there was a reduction in differences of prevalence compared to the self-reported medical diagnoses. Differences in prevalence based on a diagnosis of a depressive disorder identified in a clinical interview remained stable, which indicates different groups of persons.