Framework and baseline examination of the German National Cohort (NAKO).

The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19-74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2-3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4-5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years.

Health-related quality of life of children born to childhood cancer survivors in Germany.

OBJECTIVE: Rising childhood cancer survival rates have increased the importance of health-related quality of life (HRQL) assessment. While survivors show comparable HRQL to peers, concerns that cancer treatment could impact the health of prospective children were reported. No previous publications address HRQL of childhood cancer survivor offspring. METHODS: We assessed survivor offspring HRQL using the parental KINDL questionnaire. Matched-pair analysis was conducted with data from the general population (KiGGS study) using age, gender and education (1:1, n = 1206 cases). Multivariate analyses were conducted to detect the influence of parental diagnose and treatment on offspring HRQL. RESULTS: Overall, within KINDL dimensions, survivors reported comparable to higher HRQL for their children than the general population. Survivor parents reported significantly (p < 0.001) higher psychological (86.7% vs. 83.0%, Cohen's d = 0.3) and self-esteem (79.1% vs. 73.3%, Cohen's d = 0.5) well-being scores for younger children (3-6-year-olds). As time since diagnosis increased, parents reported higher well-being scores. Accordingly, recently diagnosed survivors reported significantly lower psychological well-being scores (p = 0.28; OR = 0.457; 95% CI = 0.228-0.918) for their children. With increasing age, average HRQL scores decreased in both cohorts; yet, this drop was less pronounced for survivor offspring. The biggest difference between age groups (7-10- vs. 14-17-year-olds) was found for school-specific well-being (6.2-point drop in survivor offspring vs. 18.2-point drop in KiGGS offspring). CONCLUSION: Comparable to higher parentally assessed HRQL was reported for survivor offspring compared to peers. These findings are reassuring and consistent with self-reported HRQL in childhood cancer survivors. Type of parental cancer diagnosis and treatment showed no negative impact on offspring HRQL.

Health outcomes in offspring born to survivors of childhood cancers following assisted reproductive technologies.

PURPOSE: An increasing number of childhood cancer survivors are using assisted reproductive technologies (ART) to overcome treatment-related fertility impairment. We report perinatal and health outcomes of offspring born to survivors following ART. METHODS: The FeCt Multicenter Offspring Study surveyed the health of offspring of childhood cancer survivors. Health outcomes in offspring born to survivors following ART (n = 57, 4.6%) or after spontaneous conception (n = 1182) were assessed in the German cohort (n = 1239) using bivariate analysis. Findings were put into the context of the general German population by health outcome assessment in 1:1 matched-pair analysis (n = 2478). RESULTS: Nearly twice the survivors used ART compared with numbers reported for the German general population (4.6% vs. 2.6%). Successful pregnancies were achieved after a median of two cycles, mainly using non-cryopreserved oocytes/sperm. Multiple sibling births (p < 0.001, 28.1% vs. 3.0%) and low birth weight (p = 0.008; OR = 2.659, 95% CI = 1.258-5.621) occurred significantly more often in offspring born to survivors who utilized ART than spontaneously conceived children, whereas similar percentages were born preterm or too small for their gestational age. ART did not increase the prevalence of childhood cancer or congenital malformations in offspring born to survivors. CONCLUSION: ART use by childhood cancer survivors was successful with both fresh and cryopreserved oocytes/sperm, and did not influence perinatal health or health outcomes when known confounders were taken into account. IMPLICATIONS FOR CANCER SURVIVORS: Oncofertility is an important component of patient care. Our study implicates that the utilization of ART by adult survivors of childhood cancer does not put offspring at additional risk for adverse perinatal or health outcomes.

Health inequalities among children and adolescents in Germany. Developments over time and trends from the KiGGS study.

This study examines the extent to which health inequalities among children and adolescents in Germany have developed over the past decade. The analyses are based on data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), which are representative of the 0- to 17-year-old population in Germany. The KiGGS data were collected in three waves: the KiGGS baseline study (2003-2006), KiGGS Wave 1 (2009-2012) and KiGGS Wave 2 (2014-2017). Prevalences of five health outcomes are considered: general health, mental health problems, physical activity, the consumption of sugary soft drinks, and smoking. Moreover, it defines health inequalities in relation to differences in the socioeconomic status of the family (SES), an index derived from the parents' level of education, occupation and income, and considers both absolute and relative health inequalities. In order to do so, the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were calculated using linear probability or log-binomial models. Significant inequalities were identified to the detriment of young people from families with a low SES. These inequalities were particularly pronounced in the KiGGS Wave 2 data with regard to general health and the consumption of sugary soft drinks. Additionally, evidence from trend analyses for these two outcomes suggests that relative inequalities have increased. However, absolute inequalities decreased during the same period, and this also applies to smoking. The persistently high and, in some cases, widened levels of health inequalities indicate that adolescents from families with a low SES do not benefit to the same extent from disease prevention and health promotion measures for children and adolescents as young people from families with a higher SES.

Health and health risk behaviour of adolescents-Differences according to family structure. Results of the German KiGGS cohort study.

OBJECTIVE: This study's aim was to investigate the association between family structure and different health-related outcomes in adolescence (self-rated health, emotional and behavioural problems, health-related quality of life, regular smoking, and heavy episodic drinking). Furthermore, we analysed the extent to which socio-economic status, family cohesion and the pre-transition health status explain family structure-related health disparities. METHODS: We used longitudinal data from the first two waves of the German KiGGS cohort study carried out by the Robert Koch Institute (baseline: 2003-2006, follow-up: 2009-2012). The sample comprised 4,692 respondents aged 11 to 17 years. Using data from both waves, effects of family structure on health status at follow-up were calculated applying linear and logistic regression models. RESULTS: We found that adolescents continuously living with both birth parents were in good health. Adolescents whose parents separated after the baseline survey, reported poorer health and were more likely to smoke. The transition from stepfamily to single parent family was also associated with a higher risk of regular smoking. Lower health-related quality of life as well as higher scores for emotional and behavioural problems occurred in almost all non-nuclear family structures, although not all effects were statistically significant. No significant effects of family structure on heavy episodic drinking were found. While family cohesion mediated the effects of family structure on adolescents' health, the mediating effect of socio-economic status was small. After controlling for pre-transition health, the effects were even lower. CONCLUSIONS: Because the direct effects of family structure on adolescents' health were small and family cohesion was found to be an important mediator in the association between family structure and adolescents' health, prevention programmes and interventions should be directed towards the parent-adolescent relationship rather than just the family structure, in order to minimize the psychosocial stress of adolescents during the period of family transition.