Inconsistencies in self-reported diabetes in a large panel study: the Survey of Health, Ageing and Retirement in Europe (SHARE).

BACKGROUND: The validity of self-reported chronic conditions has been assessed by comparing them with medical records or register data in several studies. However, the reliability of self-reports of chronic diseases has less often been examined. Our aim was to assess the proportion and determinants of inconsistent self-reports of diabetes in a long panel study. METHODS: SHARE (Survey of Health, Ageing and Retirement in Europe) includes 140,000 persons aged ≥ 50 years from 28 European countries and Israel. We used data from waves 1 to 7 (except wave 3) collected between 2004 and 2017. Diabetes was assessed by self-report. An inconsistent report for diabetes was defined as reporting the condition in one wave, but denying it in at least one later wave. The analysis data set included 13,179 persons who reported diabetes, and answered the question about diabetes in at least one later wave. Log-binomial regression models were fitted to estimate crude and adjusted relative risks (RR) with 95% confidence intervals (CI) for the associations between various exposure variables and inconsistent report of diabetes. RESULTS: The proportion of persons with inconsistent self-reports of diabetes was 33.0% (95% CI: 32.2%-33.8%). Inconsistencies occurred less often in persons taking antidiabetic drugs (RR = 0.53 (0.53-0.56)), persons with BMI ≥ 35 kg/m2 versus BMI < 25 kg/m2 (RR = 0.70, (0.64-0.77)), and poor versus excellent subjective health (RR = 0.87 (0.75-1.01)). Inconsistencies occurred more often in older persons (RR = 1.15 (1.12-1.18) per 10 years increase of age), and persons not reporting their age at diabetes onset (RR = 1.38 (1.31-1.45)). CONCLUSION: In SHARE, inconsistent self-report of diabetes is frequent. Consistent reports are more likely for persons whose characteristics make diabetes more salient, like intake of antidiabetic medication, obesity, and poor subjective health. However, lack of attention in answering the questions, and poor wording of the items may also play a role.

Association between number of children and incident heart disease and stroke in parents - results from the Survey of Health, Ageing and Retirement in Europe (SHARE).

BACKGROUND: In former studies, parity was associated with adverse cardiovascular outcomes in parents. This study aims to extend the limited existing data regarding the association between the number of children and heart disease and/or stroke in a large longitudinal study in different European countries in both men and women. METHODS: For 42 075 subjects (18 080 men, 23 995 women; median age 58 years (interquartile range: 53 to 65)) from 19 European countries and Israel in the Survey of Health, Ageing and Retirement in Europe (SHARE), odds ratios (OR) for the association between number of children and incident self-reported heart disease and/or stroke (HDS) were estimated using logistic regression analyses. Persons with one or two children were used as reference. The final model was adjusted for baseline age, sex, education, region, and marital status. All analyses were stratified by sex. RESULTS: Women with seven or more children had the highest OR for the association between the number of children and incident HDS (OR = 2.12 [95% CI: 1.51 to 2.98]), while men with six children showed the highest OR (OR = 1.62 [1.13 to 2.33]). Stratified by education, across all education levels, men and women with five or more children had the highest ORs for this association. The highest OR was observed in both women and men in the group with primary education (OR = 1.66 [1.29 to 2.15] and OR = 1.60 [1.19 to 2.14], respectively). Stratified by region, both men and women with five or more children showed the highest ORs in Southern Europe (OR = 2.07 [1.52 to 2.82] and OR = 1.75 [1.25 to 2.44], respectively). CONCLUSION: In this long-term follow-up study in various countries in Europe and Israel we found a positive association between number of children and incident HDS. This association was more pronounced in lower educated subjects and showed regional variations.

Modification of TSH-related genetic effects by indicators of socioeconomic position.

Objective: Thyroid-stimulating hormone (TSH) is influenced by genetic and environmental factors such as socioeconomic position (SEP). However, interactions between TSH-related genetic factors and indicators of SEP have not been investigated to date. The aim of the study was to determine whether education and income as SEP indicators may interact with TSH-related genetic effect allele sum scores (GESTSH_2013 and GESTSH_2020) based on two different GWAS meta-analyses that affect TSH values in a population-based study. Methods: In 4085 participants of the Heinz Nixdorf Recall Study associations between SEP indicators, GESTSH and TSH were quantified using sex- and age-adjusted linear regression models. Interactions between SEP indicators and GESTSH were assessed by GESTSH × SEP interaction terms, single reference joint effects and calculating genetic effects stratified by SEP group. Results: Participants within the highest education group showed the strongest genetic effect with on average 1.109-fold (95% CI: 1.067-1.155) higher TSH values per GESTSH_2013 SD, while in the lowest education group, the genetic effect was less strong (1.061-fold (95% CI: 1.022-1.103)). In linear regression models including interaction terms, some weak indication for a positive GESTSH_2013 by education interaction was observed showing an interaction effect size estimate of 1.005 (95% CI: 1.000-1.010) per year of education and GESTSH_2013 SD. No indication for interaction was observed for using income as SEP indicator. Using the GESTSH_2020, similar results were observed. Conclusion: Our results gave some indication that education may affect the expression of TSH-related genetic effects. Stronger genetic effects in high-education groups may be explained by environmental factors that have an impact on gene expression and are more prevalent in high SEP groups.

[Regional Differences in Thyroid Function Parameters: A Comparison of European Cohort Studies]. / Regionale Unterschiede von Schilddrüsenfunktionsparametern: ein Vergleich europäischer Kohortenstudien.

AIM OF THE STUDY: The aim of the project was to investigate regional differences in thyroid stimulating hormone (TSH), and free thyroxine (fT4) concentrations and iodine status in comparable German and European cohort studies. METHODS: Sex- and age-stratified TSH, fT4, and urine iodine concentrations of thyroid-healthy participants (age group 45-75 years) of the HNR (Heinz Nixdorf Recall) Study in the Ruhr region of Germany, the southern German KORA (Cooperative Health Research in the Augsburg Region) and northeastern German SHIP (Study of Health in Pomerania) studies, as well as the Norwegian HUNT (Nord-Trøndelag Health) study (age group 40-79 years), the English EPIC (European Prospective Investigation of Cancer)-Norfolk study, and the Dutch Rotterdam study were compared. The TSH reference range for the HNR study population was calculated and compared to the KORA and SHIP studies. RESULTS: Regional differences showed a stronger influence on TSH and fT4 concentrations than sex and age of the subjects in the 45- to 75-year age group. The estimated difference in medians, as measured by the HNR study, was lowest in the SHIP study, -0.47 (95% CI: -0.53; -0.41) for men and -0.41 (-0.53; -0.41) for women. The Rotterdam study had the highest difference in medians for both men and women (men: 0.56 with 0.44; 0.68 and women: 0.62 with 0.46; 0.78). The lowest median TSH concentrations, across all age categories considered, were seen in the German cohorts. CONCLUSIONS: Comparison of thyroid function parameters and iodine in elderly subjects between six comparable cohort studies from Germany and Europe showed a significant influence of region, which exceeded the sex and age dependence of the parameters.

Associations between macronutrient intake and coronary heart disease (CHD): The Rotterdam Study.

BACKGROUND & AIMS: Dietary intake of several specific macronutrients has been linked to risk of coronary heart disease (CHD). However, these associations may depend on overall macronutrient composition rather than effects of one single macronutrient. Therefore, we aimed to investigate the associations of macronutrient intake and CHD and its related risk factors, by taking into account different macronutrient substitutions. METHODS: This study was performed among 5873 participants from the Rotterdam Study, a population-based cohort study. Macronutrient intake was measured using a semi-quantitative food-frequency questionnaire. Cox proportional hazard regression analyses were used to examine associations between intakes of macronutrients and CHD incidence; and linear regression analyses were used to examine associations with the related risk factors, including triglycerides, total, high-density and low-density cholesterol levels, body mass index (BMI), fat mass index (FMI), and fat-free mass index (FFMI). RESULTS: We documented 669 CHD cases during 74,776 person-years of follow-up. In multivariable-adjusted models we observed no statistically significant associations between macronutrients and CHD incidence. Although non-significant, a higher plant protein intake tended to be associated with a lower risk of CHD when consumed at the expense of any of the other macronutrients. This association was strongest when 5% of energy (5 E%) of plant protein was consumed at the expense of animal protein (HR = 0.61; 95% CI 0.31, 1,21), mono- and disaccharides (HR = 0.62; 95% CI 0.29, 1.35) or saturated fat (HR = 0.61; 95% CI 0.31, 1.20). No consistent associations were observed for risk factors related to CHD. CONCLUSIONS: Macronutrient composition was not significantly associated with CHD incidence or cardiometabolic risk factors in an adult population. Future studies should further investigate food sources and quality of macronutrients.

TSH concentrations in parents and their offspring: a cross-sectional family-based analysis.

OBJECTIVE: Studies that evaluated the genetic influences on thyroid-stimulating hormone (TSH) concentrations were primarily performed in twin cohorts. The aim of this study was to investigate the sex-specific association of serum TSH concentrations between parents and their offspring. METHODS: We used data from the population-based Heinz Nixdorf Recall Study and the associated MultiGeneration Study, including offspring and their biological parents. In 3115 participants (including 1558 offspring from 1138 families), self-reported thyroid diseases and median TSH concentrations depending on thyroid status were assessed. Familial associations of TSH concentrations were investigated in 1485 healthy subjects using linear regression modeling in each group of the parent-offspring relationship using the parent's TSH concentration as the exposure of interest. To account for the family effect, a mixed-effects ordinal logistic regression model with random intercept varying at the family level was fitted, using the TSH concentration of the offspring classified into sex- and age-specific quartiles as the outcome. RESULTS: For every 1 mIU/L increase in the mother's or father's TSH concentration, the daughter's TSH concentration increases by 0.13 mIU/L (95% CI: -0.01; 0.27) and 0.19 mIU/L (0.05; 0.33), respectively, and the son's TSH concentration increases by 0.13 mIU/L (0.02; 0.25) and 0.20 mIU/L (0.08; 0.32), respectively. Further sensitivity analyses by expanding inclusion criteria and taking family clustering into account corroborated these results. CONCLUSIONS: Serum TSH concentrations of parents are positively associated with those of their offspring in all sex-specific relationships.