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A Mielck

Publications and source records attributed to A Mielck.

41 records · Page 3Linked to original sources

[Income reduction due to sickness benefits--when does sickness make you poor?].

PURPOSE: When absent from work due to sickness, most employees in Germany receive continued pay from their employer for six weeks. After this period, sick employees receive sickness benefits from their Statutory Sickness Fund. These sickness benefits are calculated in a rather complicated way as a percentage of gross and net salary. The paper focuses on two questions that have rarely been studied: which income groups show a particularly large difference between net salary and net sickness benefits? Which income groups move below the poverty line after receiving sickness benefits? METHODS: We calculated how much sickness benefit is actually paid to the insured, for different income and tax groups. The definition for the poverty line is outlined as well. Due to methodological difficulties, the comparison between sickness benefits and poverty must be confined to single-person households. RESULTS: In the income groups chosen here (gross salary up to 4000 Euro per month), net sickness benefits amount to about 77 % of net salary, for all insured. Financial problems can mainly be expected for the lower and the upper income groups. Expressed in absolute terms, the upper income groups experience a large reduction in net income. The lower income groups come close to the poverty line or fall below it. CONCLUSIONS: Sickness benefits provide income in case of sickness; this is an important achievement of social policy. However, we should study the financial burden which sickness benefits could have for the insured. More in-depth analyses would require data that are not yet available (e. g. on the number of insured per income group and the income of other household members). The analyses presented here already show that sickness benefits could lead to severe financial problems for at least some insured. They point to the need for more studies in this neglected field.

Cost of Illness↗

[How much do inpatient treated diabetics know about their disease?].

AIM OF STUDY: The aim of the study was to find to find out which factors are able to predict the disease-specific knowledge of in-patient diabetic patients and to characterize this group of patients. METHODS: The disease-specific knowledge of diabetic patients of a Hospital in Munich, Germany (department of diabetology) was tested using a general questionnaire and a specific diabetes knowledge test. All data manipulation and statistical calculations were conducted with the statistical software package SAS (version 9.1). RESULTS: On average type-1-diabetics achieved 73% of the possible points in the knowledge test, type-2-diabetics achieved 68% of total points. In bivariate analyses, using logistic regression, existence of diabetes related complications was a significant predictor of poor knowledge (OR = 4.36; 95%-KI: 1.38-13.77) in type-1-diabetics. Other factors, e. g. lack of diabetes education were associated with low test results but reached no statistical significance (OR = 6.13; 95%-KI: 0.67-56.42). In multivariate logistic regression (female) gender was a significant risk factor for low test results (OR = 7.66; 95%-KI: 1.18-49.8). In type-2-diabetics lack of diabetes education (OR = 3.86; 95%-KI: 1.51-9.84), low self-assessment of information about diabetes (OR = 3.90; 95%-KI: 1.36-11.21) and lack of knowledge about diabetes diet (OR = 4.06; 95%-KI: 1.60-10.28) were predictors of poor test results. The existence of diabetes related complications was associated with poor test results but showed no statistical significance in multivariate analysis (OR = 2.99; 95%-KI: 0.85-10.43). CONCLUSIONS: There is a group of diabetic inward-patients that is less informed about diabetes and shows knowledge deficits in testing. These patients often lack diabetes education and show an unfavourable course of the disease, already having diabetes related complications. Type-2-diabetes patients who feel that they have poor information about their disease actually achieve lower results in knowledge testing. Efforts to assure diabetes education for these patients are essentially necessary.

Adult↗

Persistent variations in average height between countries and between socio-economic groups: an overview of 10 European countries.

PRIMARY OBJECTIVES: This paper aims to provide an overview of variations in average height between 10 European countries, and between socio-economic groups within these countries. DATA AND METHODS: Data on self-reported height of men and women aged 20-74 years were obtained from national health, level of living or multipurpose surveys for 1987-1994. Regression analyses were used to estimate height differences between educational groups and to evaluate whether the differences in average height between countries and between educational groups were smaller among younger than among older birth cohorts. RESULTS: Men and women were on average tallest in Norway, Sweden, Denmark and the Netherlands and shortest in France, Italy and Spain (range for men: 170-179 cm; range for women: 160-167 cm). The differences in average height between northern and southern European countries were not smaller among younger than among older birth cohorts. In most countries average height increased linearly with increasing birth-year (approximately 0.7-0.8 cm/5 years for men and approximately 0.4 cm/5 years for women). In all countries, lower educated men and women on average were shorter than higher educated men (range of differences: 1.6-3.0 cm) and women (range of differences: 1.2-2.2 cm). In most countries, education-related height differences were not smaller among younger than among older birth cohorts. CONCLUSIONS: The persistence of international differences in average height into the youngest birth cohorts indicates a high degree of continuity of differences between countries in childhood living conditions. Similarly, the persistence of education-related height differences indicates continuity of socio-economic differences in childhood living conditions, and also suggests that socio-economic differences in childhood living conditions will continue to contribute to socio-economic differences in health at adult ages.

Adult↗

Poverty, health, and nutrition in Germany.

OBJECTIVE: To investigate the relation between poverty and several variables describing health and nutrition behavior in East Germany and West Germany. METHODS: Data are from the third National Health Survey in West Germany and the first Health Survey for the new federal states of Germany (1991/92). Both health surveys included a self-administered questionnaire ascertaining sociodemographic variables, smoking history, nutritional behavior (using a food-frequency list), physical activity, and a medical examination comprising measurements of height, weight, blood pressure, and blood sampling for serum cholesterol determination. Participants included 4958 subjects in the West Survey and 2186 subjects in the East Survey aged 25-69 years, with a respective net response rate of 69.0% and 70.2%. Poverty was defined as a household equivalence income of 62.5% or less of the median income of the general population. RESULTS: The lowest income group (poverty or near poverty) comprised 11.6% of East German versus 15.9% of West German males and 14.8% of East German versus 19.3% of West German females. For most but not all health and nutrition parameters, less favorable results were obtained for subjects with an equivalence income below or near poverty. The most striking poverty-related differences regarding cardiovascular disease risk factors were found for lack of regular exercise for both genders and obesity in females. No poverty-related differences were found for the prevalence of hypercholesterolemia, despite a much higher prevalence of obesity in persons with an income below the poverty line. Current nutritional behavior and changes in nutritional behavior during the last three years was strongly related to income status, with a more unhealthy status for low-income population groups in both East and West Germany. CONCLUSIONS: In Germany, poverty has strong effects on individual health status and nutritional behavior. Because of rising unemployment rates and reductions in social security payments for low-income groups, it is likely that the negative consequences of poverty on health are increasing.

Adult↗

Inverse social gradient of secondary immune response parameters in children.

BACKGROUND: In children, the prevalence of allergy increases with increasing socioeconomic status. If frequent immune response stimulation by infections protects against development of allergic diseases, then a social gradient in infections should exist. The aim of our study was to assess the relation between social class, immune parameters, and the prevalence of respiratory infections in children. METHODS: A cross-sectional survey examined children aged 5 to 14 years in 3 communities of Sachsen-Anhalt, Germany. Data of 1724 children were gathered by a parent-completed questionnaire and analyses of blood samples. Social class was defined by parental educational level. Immune parameters included serum immunoglobulin (Ig)G, IgA, and IgM; the C3c component of complement; and the total leukocyte count. The period prevalence of febrile colds and lifetime prevalences of physician-diagnosed bronchitis, tonsillitis, otitis media, and pneumonia were assessed from parents' reports. Adjusted odds ratios for the association between social class and belonging to the group of children with immune parameter levels in the upper 50th or 75th percentile or experiencing respiratory infections were calculated by logistic regression. RESULTS: Social class was inversely associated with secondary immune response parameters (IgG, IgA), whereas indicators of primary immune reactions and inflammation (IgM, C3c, leukocytes) were not related to social status. While an inverse social gradient was found for the period prevalence of febrile colds, the frequency of bronchitis, tonsillitis, and otitis media decreased with decreasing social class. CONCLUSIONS: Health inequalities exist in immune reactions and respiratory infections in children from different social classes. We hypothesize that in children from lower social classes, increased frequency of infections stimulated the secondary immune response and protected against more severe courses of respiratory infections.

Adolescent↗