Health related quality of life associated with extreme obesity in adolescents - results from the baseline evaluation of the YES-study.

BACKGROUND: Obesity can significantly reduce health-related quality of life (HRQoL) and may lead to numerous health problems even in youths. This study aimed to investigate whether HRQoL varies among youths with obesity depending on grade of obesity and other factors. METHODS: For the Youths with Extreme obesity Study (YES) (2012-2014), a prospective multicenter cohort study, a baseline sample of 431 obese and extremely obese adolescents and young adults (age 14 to 24 years, BMI ≥30 kg/m2) was recruited at four German university medical centers and one job center. Obesity grade groups (OGG) were defined according to BMI (OGG I: 30-34.9 kg/m2, OGG II: 35-39.9 kg/m2, OGG III (extreme obesity): ≥40 kg/m2). HRQoL was measured with the Euroqol-5D-3 L (EQ-5D-3 L), DISABKIDS chronic generic (DCGM-31) and the KINDLR obesity module. Differences between OGGs were assessed with logistic and linear regression models, adjusting for age, sex, and study center in the base model. In a second regression analysis, we included other characteristics to identify possible determinants of HRQoL. RESULTS: Three hundred fifty-two adolescents (mean age: 16.6 (±2.4), mean BMI: 39.1 (±7.5) kg/ m2) with available HRQoL data were analysed. HRQoL of youths in all OGGs was markedly lower than reference values of non-obese adolescents. Adjusting for age and sex, HRQoL of youths in OGG III significantly impaired compared to OGG I. Youths in OGG III were 2.15 times more likely to report problems with mobility in the EQ-5D-3 L than youths in OGG I. A mean difference of 9.7 and 6.6 points between OGG III and I were found for DCGM-31 and KINDL respectively and 5.1 points between OGG II and I for DCGM-31. Including further variables into the regression models, showed that HRQoL measured by DCGM-31 was significantly different between OGGs. Otherwise, female sex and having more than 4 h of daily screen time were also associated with lower HRQoL measured by DCGM-31 and KINDL. CONCLUSION: HRQoL of adolescents with obesity is reduced, but HRQoL of adolescents with extreme obesity is particularly affected. Larger and longitudinal studies are necessary to understand the relation of extreme obesity and HRQoL, and the impact of other lifestyle or socioeconomic factors. TRIAL REGISTRATION: Clinicaltrials.gov NCT01625325; German Clinical Trials Register (DRKS) DRKS00004172.

Associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes: analysis at the municipality level in North Rhine-Westphalia, Germany.

AIM: To analyse the associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes in the German federal state of North Rhine-Westphalia. METHODS: Data of incident type 1 diabetes cases in children and adolescents aged <20 years between 2007 and 2014 were extracted from a population-based diabetes register. Population data, indicators of area deprivation and urban/rural traits at the municipality level (396 entities) were obtained from official statistics. Area deprivation was assessed in five groups based on quintiles of an index of multiple deprivation and its seven deprivation domains. Poisson regression accounting for spatial dependence was applied to investigate associations of area deprivation and urban/rural traits with type 1 diabetes incidence. RESULTS: Between 2007 and 2014, 6143 incident cases were reported (99% completeness); the crude incidence was 22.3 cases per 100 000 person-years. The incidence decreased with increasing employment and environmental deprivation (relative risk of the most vs. the least deprived municipalities: 0.905 [95% CI: 0.813, 1.007] and 0.839 [0.752, 0.937], respectively) but was not associated with the composite deprivation index. The incidence was higher in more peripheral, rural, smaller and less densely populated municipalities, and the strongest association was estimated for the location trait (relative risk of peripheral/very peripheral compared with very central location: 1.231 [1.044, 1.452]). CONCLUSIONS: The results suggest that the type 1 diabetes risk is higher in more remote, more rural, less densely populated and less deprived areas. Urban/rural traits were stronger predictors of type 1 diabetes risk than area deprivation indicators.

Vertigo and dizziness cause considerable more health care resource use and costs: results from the KORA FF4 study.

OBJECTIVES: Vertigo is a common reason for primary care consultations, and its diagnosis and treatment consume considerable medical resources. However, limited information on the specific cost of vertigo is currently available. The aim of this study is to analyse the health care costs of vertigo and examine which individual characteristics would affect these costs. STUDY DESIGN: We used cross-sectional data from the German KORA ("Cooperative Health Research in the Augsburg Region") FF4 study in 2013. METHODS: Impact of personal characteristics and other factors was modelled using a two-part model. Information on health care utilisation was collected by self-report. RESULTS: We included 2277 participants with a mean age of 60.8 (SD = 12.4), 48.4% male. Moderate or severe vertigo was reported by 570 (25.0%) participants. People with vertigo spent 818 Euro more than people without vertigo in the last 12 months (2720.9 Euro to 1902.9 Euro, SD = 4873.3 and 5944.1, respectively). Consultation costs at primary care physicians accounted for the largest increase in total health care costs with 177.2 Euro (p < 0.01). After adjusting for covariates, the presence of vertigo increased both the probability of having any health care costs (OR = 1.6, 95% CI =[1.2;2.4]) and the amount of costs (exp(ß) = 1.3, 95% CI = [1.1;1.5]). The analysis of determinants of vertigo showed that private insurance and a medium level of education decreased the probability of any costs, while higher income increased it. CONCLUSIONS: The presence of vertigo and dizziness required considerable health care resources and created significantly more related costs in different health care sectors for both primary and pertinent secondary care.

Time spent on self-management by people with diabetes: results from the population-based KORA survey in Germany.

AIMS: Time needed for health-related activities in people with diabetes is assumed to be substantial, yet available data are limited. Time spent on self-management and associated factors was analysed using cross-sectional data from people with diagnosed diabetes enrolled in a population-based study. METHODS: Mean total time spent on self-management activities was estimated using a questionnaire for all participants with diagnosed diabetes in the KORA FF4 study (n = 227, 57% men, mean age 69.7, sd 9.9 years). Multiple two-part regression models were fitted to evaluate associated factors. Multiple imputation was performed to adjust for bias due to missing values. RESULTS: Some 86% of participants reported spending time on self-management activities during the past week. Over the entire sample, a mean of 149 (sd 241) min/week were spent on self-management-activities. People with insulin or oral anti-hyperglycaemic drug treatment, better diabetes education, HbA1c 48 to < 58 mmol/mol (6.5% to < 7.5%) or lower quality of life, spent more time on self-management activities. For example, people without anti-hyperglycaemic medication invested 66 min/week in self-management, whereas those taking insulin and oral anti-hyperglycaemic drugs invested 269 min/week (adjusted ratio 4.34, 95% confidence interval 1.85-10.18). CONCLUSIONS: Time spent on self-management activities by people with diabetes was substantial and varied with an individual's characteristics. Because of the small sample size and missing values, the results should be interpreted in an explorative manner. Nevertheless, time needed for self-management activities should be routinely considered because it may affect diabetes self-care and quality of life.

The association between BMI and health-related quality of life in the US population: sex, age and ethnicity matters.

BACKGROUND: Obesity is a major public health problem. Detailed knowledge about the relationship between body mass index (BMI) and health-related quality of life (HRQL) is important for deriving effective and cost-effective prevention and weight management strategies. This study aims to describe the sex-, age- and ethnicity-specific association between BMI and HRQL in the US adult population. METHODS: Analyses are based on pooled cross-sectional data from 41 459 participants of the Medical Expenditure Panel Survey (MEPS) Household Component (HC) for the years 2000-2003. BMI was calculated using self-reported height and weight, and HRQL was assessed with the EuroQol five-dimensional questionnaire. Generalized additive models were fitted with a smooth function for BMI and a smooth-factor interaction for BMI with sex adjusted for age, ethnicity, poverty, smoking and physical activity. Models were further stratified by age and ethnicity. RESULTS: The association between BMI and HRQL is inverse U-shaped with a HRQL high point at a BMI of 22 kg m-2 in women and a HRQL high plateau at BMI values of 22-30 kg m-2 in men. Men aged 50 years and older with a BMI of 29 kg m-2 reported on average five-point higher visual analog scale (VAS) scores than peers with a BMI of 20 kg m-2. The inverse U-shaped association is more pronounced in older people, and the BMI-HRQL relationship differs between ethnicities. In Hispanics, the BMI associated with the highest HRQL is higher than in white people and, in black women, the BMI-HRQL association has an almost linear negative slope. CONCLUSIONS: The results show that a more differentiated use of BMI cutoffs in scientific discussions and daily practice is indicated. The findings should be considered in the design of future weight loss and weight management programs.

Direct and indirect costs of COPD and its comorbidities: Results from the German COSYCONET study.

BACKGROUND: Reliable up-to-date estimates regarding the economic impact of chronic obstructive pulmonary disease (COPD) are lacking. This study investigates COPD excess healthcare utilization, work absenteeism, and resulting costs within the German COPD cohort COSYCONET. METHODS: Data from 2139 COPD patients in GOLD grade 1-4 from COSYCONET were compared with 1537 lung-healthy control subjects from the population-based KORA platform. Multiple generalized linear models analyzed the association of COPD grades with healthcare utilization, work absence, and costs from a societal perspective while adjusting for sex, age, education, smoking status, body mass index (BMI), and several comorbidities. RESULTS: COPD was significantly associated with excess healthcare utilization, work absence, and premature retirement. Adjusted annual excess cost of COPD in 2012 for GOLD grade 1-4 amounted to €2595 [1770-3678], €3475 [2966-4102], €5955 [5191-6843], and €8924 [7190-10,853] for direct costs, and €8621 [4104-13,857], €9871 [7692-12,777], €16,550 [13,743-20,457], and €27,658 [22,275-35,777] for indirect costs respectively. Comorbidities contributed to the primary effect of COPD on direct costs only. An additional history of cancer or stroke had the largest effect on direct costs, but the effects were smaller than those of COPD grade 3/4. CONCLUSIONS: COPD is associated with substantially higher costs than previously reported.

["As Good as it Gets at Home" - Reasons for Institutionalisation in Dementia]. / "Zuhause geht es nicht mehr" - Gründe für den Wechsel ins Pflegeheim bei Demenz.

AIM: What are the reasons for institutionalising community-dwelling persons with dementia? METHOD: A written survey of family caregivers and general practitioners was undertaken. RESULTS: Within 2 years 47 of 351 people with dementia (13%) were institutionalised. The person with dementia was involved in the decision in only 1/3 of the cases. The 3 most common reasons were: ensuring the best possible care, high expenditure of care-giving time at home, deterioration of the health of the care-receiver. CONCLUSIONS: From the ethical point of view the exclusion of the persons with dementia from the decision-making with regard to institutionalisation has to be examined critically. The often given reason of ensuring the best possible care through institutionalisation could be counteracted by the improvement of community-based care.

Health-related quality of life in women and men with type 2 diabetes: a comparison across treatment groups.

AIM: This study compares health-related quality of life (HRQL) in patients with type 2 diabetes (T2DM) across treatment groups and explores gender differences. METHODS: Four regional surveys (KORA, CARLA, SHIP, DHS) and a national survey (GNHIES98) were pooled at individual level. HRQL was assessed with the SF-12/-36v1. Linear regression models were used to assess the effect of T2DM by treatment type (no medication; oral; oral/insulin combination; insulin) on the physical (PCS-12) and mental summary score (MCS-12) and the SF-6D, controlling for age, sex, study and covariates. We also performed an explanatory analysis of single items. RESULTS: PCS-12 scores and treatment type were associated (P-value 0.006), with lowest values for insulin treatment (-4.44 vs. oral; -4.41 vs. combination). MCS-12 scores were associated with treatment type and gender (P-value <0.012), with lower scores for women undergoing oral (-4.25 vs. men) and combination treatment (-6.99 vs. men). Similar results were observed for SF-6D utilities and single items, related to mental health, social functioning, vitality and role limitation (emotional). Comorbidities were predictors of lower PCS-12 and SF-6D scores. CONCLUSIONS: T2DM treatment impacts differently on physical and mental HRQL and on women and men. Further studies of gender-specific perceptions of T2DM treatment regimens are needed.

[FIMA--questionnaire for health-related resource use in an elderly population: development and pilot study]. / FIMA--Fragebogen zur Erhebung von Gesundheitsleistungen im Alter: Entwicklung und Pilotstudie.

AIM: Due to demographic trends towards an ageing population resource use of health care will increase. By collecting health-related costs via questionnaires, the impact of socio-economic variables and other medical factors can be examined. In addition, only patient reported resource use accounts for out-of-pocket payments. Thus, it is necessary to develop an appropriate tool to collect the health-related resource use in an elderly population. METHODS: The development of the FIMA (questionnaire for the use of medical and non-medical services in old age) was carried out in 6 steps. These included the determination of necessary questionnaire contents based on a literature review and the wording and layout were defined. Finally the questionnaire was tested in a pilot study and was modified. RESULTS: All direct medical and non-medical resource use excluding transportation and time costs were recorded. Productivity losses were not included. The recall time frames differed according to resource categories (7 days, 3 months, 12 months). For the pilot study, 63 questionnaires were analysed. The response rate was 69%. The questionnaire took an average of 21 min to complete. Three quarters of respondents completed the questionnaire without help and 90% rated the difficulty as easy or even very simple. There was good agreement between self-reported health-related quality of life and the resource use of nursing and domestic help (phi coefficient values between 0.52 and 0.58). CONCLUSION: The FIMA is a generic questionnaire which collects the health-related resource use within the older population groups.

[Calculation of standardised unit costs from a societal perspective for health economic evaluation]. / Ermittlung standardisierter Bewertungssätze aus gesellschaftlicher Perspektive für die gesundheitsökonomische Evaluation.

PURPOSE: Due to demographic aging, economic evaluation of health care technologies for the elderly becomes more important. A standardised questionnaire to measure the health-related resource utilisation has been designed. The monetary valuation of the resource use documented by the questionnaire is a central step towards the determination of the corresponding costs. The aim of this paper is to provide unit costs for the resources in the questionnaire from a societal perspective. METHODS: The unit costs are calculated pragmatically based on regularly published sources. Thus, an easy update is possible. RESULTS: This paper presents the calculated unit costs for outpatient medical care, inpatient care, informal and formal nursing care and pharmaceuticals from a societal perspective. CONCLUSION: The calculated unit costs can serve as a reference case in health economic evaluations and hence help to increase their comparability.

Medication costs by glucose tolerance stage in younger and older women and men: results from the population-based KORA survey in Germany.

To estimate medication costs in individuals with diagnosed diabetes, undetected diabetes, impaired glucose regulation and normal blood glucose values in a population-based sample by age and sex.Using the KORA F4 follow-up survey, conducted in 2006-2008 (n=2611, age 40-82 years), we identified individuals' glucose tolerance status by means of an oral glucose tolerance test. We assessed all medications taken regularly, calculated age-sex specific medication costs and estimated cost ratios for total, total without antihyperglycemic drugs, and cardiovascular medication, using multiple 2-part regression models.Compared to individuals with normal glucose values, costs were increased in known diabetes, undetected diabetes and impaired glucose regulation, which was more pronounced in participants aged 40-59 years than in those aged 60-82 years (cost ratios for all medications: 40-59 years: 2.85; 95%-confidence interval: 1.78-4.54, 2.00; 1.22-3.29 and 1.53; 1.12-2.09; 60-82 years: 2.04; 1.71-2.43, 1.17; 0.90-1.51 and 1.09; 0.94-1.28). Compared to individuals with diagnosed diabetes, costs were significantly lower among individuals with impaired glucose regulation across all age and sex strata, also when antihyperglycemic medication was excluded (40-59 years: 0.60; 0.36-0.98, 60-82 years: 0.74; 0.60-0.90; men: 0.72; 0.56-0.93; women: 0.72; 0.54-0.96).We could quantify age- and sex-specific medication costs and cost ratios in individuals with diagnosed diabetes, undetected diabetes and impaired glucose regulation compared to those with normal glucose values, using data of a population-based sample, with oral glucose tolerance test-based identification of diabetes states. These results may help to validly estimate cost-effectiveness of screening and early treatment or prevention of diabetes.

Patient time costs attributable to healthcare use in diabetes: results from the population-based KORA survey in Germany.

AIMS: Patient time costs have been described to be substantial; however, data are highly limited. We estimated patient time costs attributable to outpatient and inpatient care in study participants with diagnosed diabetes, previously undetected diabetes, impaired glucose regulation and normal glucose tolerance. METHODS: Using data of the population-based KORA S4 study (55-74 years, random sample of n = 350), we identified participants' stage of glucose tolerance by oral glucose tolerance test. To estimate mean patient time costs per year (crude and standardized with respect to age and sex), we used data regarding time spent with ambulatory visits including travel and waiting time and with hospital stays (time valued at a 2011 net wage rate of €20.63/h). The observation period was 24 weeks and data were extrapolated to 1 year. RESULTS: Eighty-nine to 97% of participants in the four groups (diagnosed diabetes, undetected diabetes, impaired glucose regulation and normal glucose tolerance.) had at least one physician contact and 4-14% at least one hospital admission during the observation period. Patient time [h/year (95% CI)] was 102.0 (33.7-254.8), 53.8 (15.0-236.7), 59.3 (25.1-146.8) and 28.6 (21.1-43.7), respectively. Age-sex standardized patient time costs per year (95% CI) were €2447.1 (804.5-6143.6), €880.4 (259.1-3606.7), €1151.6 (454.6-2957.6) and €589.2 (435.8-904.8). CONCLUSIONS: Patient time costs were substantial--even higher than medication costs in the same study population. They are higher in participants with diagnosed diabetes, but also in those with undetected diabetes and impaired glucose regulation compared with those with normal glucose tolerance. Research is needed in larger populations to receive more precise and certain estimates that can be used in health economic evaluation.

A within-trial cost-effectiveness analysis of primary care referral to a commercial provider for weight loss treatment, relative to standard care--an international randomised controlled trial.

BACKGROUND: Due to the high prevalence of overweight and obesity there is a need to identify cost-effective approaches for weight loss in primary care and community settings. OBJECTIVE: We evaluated the cost effectiveness of two weight loss programmes of 1-year duration, either standard care (SC) as defined by national guidelines, or a commercial provider (Weight Watchers) (CP). DESIGN: This analysis was based on a randomised controlled trial of 772 adults (87% female; age 47.4±12.9 years; body mass index 31.4±2.6 kg m(-2)) recruited by health professionals in primary care in Australia, United Kingdom and Germany. Both a health sector and societal perspective were adopted to calculate the cost per kilogram of weight loss and the ICER, expressed as the cost per quality adjusted life year (QALY). RESULTS: The cost per kilogram of weight loss was USD122, 90 and 180 for the CP in Australia, the United Kingdom and Germany, respectively. For SC the cost was USD138, 151 and 133, respectively. From a health-sector perspective, the ICER for the CP relative to SC was USD18 266, 12 100 and 40 933 for Australia, the United Kingdom and Germany, respectively. Corresponding societal ICER figures were USD31,663, 24,996 and 51,571. CONCLUSION: The CP was a cost-effective approach from a health funder and societal perspective. Despite participants in the CP group attending two to three times more meetings than the SC group, the CP was still cost effective even including these added patient travel costs. This study indicates that it is cost effective for general practitioners (GPs) to refer overweight and obese patients to a CP, which may be better value than expending public funds on GP visits to manage this problem.

The impact of regional deprivation and individual socio-economic status on the prevalence of Type 2 diabetes in Germany. A pooled analysis of five population-based studies.

AIM: Our objective was to test the hypothesis that the prevalence of Type 2 diabetes increases with increasing regional deprivation even after controlling for individual socio-economic status. METHODS: We pooled cross-sectional data from five German population-based studies. The data set contained information on n = 11,688 study participants (men 50.1%) aged 45-74 years, of whom 1008 people had prevalent Type 2 diabetes (men 56.2%). Logistic multilevel regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes prevalence. We controlled for sex, age and lifestyle risk factors, individual socio-economic status and regional deprivation, based on a new small-area deprivation measure, the German Index of Multiple Deprivation. RESULTS: Adjusted for sex, age, body mass index (BMI), physical activity, smoking status and alcohol consumption, the prevalence of Type 2 diabetes showed a stepwise increase in risk with increasing area deprivation [OR 1.88 (95% CI 1.16-3.04) in quintile 4 and OR 2.14 (95% CI 1.29-3.55) in quintile 5 compared with the least deprived quintile 1], even after controlling for individual socio-economic status. Focusing on individual socio-economic status alone, the risk of having diabetes was significantly higher for low compared with medium or high educational level [OR 1.46 (95% CI 1.24-1.71)] and for the lowest compared with the highest income group [OR 1.53 (95% CI 1.18-1.99)]. CONCLUSION: Regional deprivation plays a significant part in the explanation of diabetes prevalence in Germany independently of individual socio-economic status. The results of the present study could help to target public health measures in deprived regions.

[Cost analysis of telemedical treatment of stroke]. / Kostenanalyse telemedizinischer Schlaganfallbehandlung.

BACKGROUND: Telemedicine-enabled stroke networks increase the probability of a good clinical outcome. There is a shortage of evidence about the effects of this new approach on costs for inpatient care and nursing care. METHODS: We analysed health insurance and nursing care fund data of a statutory health insurance company (AOK Bayern). Data from stroke patients initially treated in a TeleStroke network (TEMPiS - telemedical project for integrative stroke care) between community hospitals and academic stroke centres were compared to data of matched hospitals without specialised stroke care and telemedical support. Costs for nursing care were obtained over a 30-month period after the initial stroke. To rule out pre-existing differences between network and control hospitals, costs of stroke care were also analysed during a time period before network implementation. FINDINGS: 1 277 patients (767 in intervention, 510 in control hospitals) were analysed in the post-implementation period. An increased proportion of patients treated in intervention hospitals had a favourable outcome concerning the level of required nursing care. Patients in intervention hospitals had higher costs for acute inpatient care (5 309 € vs. 4 901 €, p=0.04), but lower nursing care fund costs (3 946 € vs. 5 132 €; p=0.04). There was no difference in relation to absolute total costs obtained in the post-implementation period. However, nursing care costs per survived year were significantly lower in intervention hospitals (1 953 € vs. 2 635 €; p=0.005). No significant differences were found in the pre-implementation period. CONCLUSIONS: Considering both health insurance and nursing care fund costs, the incremental costs for TeleStroke network care in hospitals are compensated by savings in outpatient care.

[Discretionary decisions in claims data analyses and their effects - an explorative comparison using the example of a cost of illness study on dementia]. / Methodische Ermessensspielräume bei der Sekundärdatenanalyse von GKV-Daten und ihre Auswirkungen - explorative Darstellung am Beispiel einer Kostenstudie zu Demenz.

Claims data-based studies provide insight into the delivery of health care services within the statutory health insurance (SHI) system. So far discretionary decisions concerning the definition of service utilization are seldom discussed. Using claims data of 9 147 dementia patients insured with AOK Bavaria SHI fund as an example, this paper compares different definitions of service utilisation and the corresponding costs of care. In total, the different approaches do not always result in different figures. Indeed the observed variation depends on the relative frequency of equivocally interpretable services within the study sample. Based on these results it is possible to provide recommendations for future standards for claims data analyses.

Regional differences in the prevalence of known Type 2 diabetes mellitus in 45-74 years old individuals: results from six population-based studies in Germany (DIAB-CORE Consortium).

AIM: In Germany, regional data on the prevalence of Type 2 diabetes mellitus are lacking for health-care planning and detection of risk factors associated with this disease. We analysed regional variations in the prevalence of Type 2 diabetes and treatment with antidiabetic agents. METHODS: Data of subjects aged 45-74 years from five regional population-based studies and one nationwide study conducted between 1997 and 2006 were analysed. Information on self-reported diabetes, treatment, and diagnosis of diabetes were compared. Type 2 diabetes prevalence estimates (95% confidence interval) from regional studies were directly standardized to the German population (31 December 2007). RESULTS: Of the 11,688 participants of the regional studies, 1008 had known Type 2 diabetes, corresponding to a prevalence of 8.6% (8.1-9.1%). For the nationwide study, a prevalence of 8.2% (7.3-9.2%) was estimated. Prevalence was higher in men (9.7%; 8.9-10.4%) than in women (7.6%; 6.9-8.3%). The regional standardized prevalence was highest in the east with 12.0% (10.3-13.7%) and lowest in the south with 5.8% (4.9-6.7%). Among persons with Type 2 diabetes, treatment with oral antidiabetic agents was more frequently reported in the south (56.9%) and less in the northeast (46.0%), whereas treatment with insulin alone was more frequently reported in the northeast (21.6%) than in the south (16.4%). CONCLUSION: The prevalence of known Type 2 diabetes showed a southwest-to-northeast gradient within Germany, which is in accord with regional differences in the distribution of risk factors for Type 2 diabetes. Furthermore, the treatment with antidiabetic agents showed regional differences.

Health-related quality of life in subjects with and without Type 2 diabetes: pooled analysis of five population-based surveys in Germany.

AIMS: To estimate population values of health-related quality of life (HRQL) in subjects with and without Type 2 diabetes mellitus across several large population-based survey studies in Germany. Systematic differences in relation to age and sex were of particular interest. METHODS: Individual data from four population-based studies from different regions throughout Germany and the nationwide German National Health Interview and Examination Survey (GNHIES98) were included in a pooled analysis of primary data (N = 9579). HRQL was assessed using the generic index instrument SF-36 (36-item Short Form Health Survey) or its shorter version, the SF-12 (12 items). Regression analysis was carried out to examine the association between Type 2 diabetes and the two component scores derived from the SF-36/SF-12, the physical component summary score (PCS-12) and the mental component summary score (MCS-12), as well as interaction effects with age and sex. RESULTS: The PCS-12 differed significantly by -4.1 points in subjects with Type 2 diabetes in comparison with subjects without Type 2 diabetes. Type 2 diabetes was associated with significantly lower MCS-12 in women only. Higher age was associated with lower PCS-12, but with an increase in MCS-12, for subjects with and without Type 2 diabetes. CONCLUSIONS: Pooled analysis of population-based primary data offers HRQL values for subjects with Type 2 diabetes in Germany, stratified by age and sex. Type 2 diabetes has negative consequences for HRQL, particularly for women. This underlines the burden of disease and the importance of diabetes prevention. Factors that disadvantage women with Type 2 diabetes need to be researched more thoroughly.