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1.
J Epidemiol Community Health ; 46(5): 537-42, 1992 Oct.
Article in English | MEDLINE | ID: mdl-1479327

ABSTRACT

STUDY OBJECTIVE: The aim was to validate information about diabetes mellitus collected by questionnaire in a large epidemiological survey. DESIGN: Questions on diabetes diagnosis, medical treatment for diabetes, diabetes duration, and hypertension treatment were selected from the Nord-Trøndelag health survey questionnaires. One of the municipalities was selected for the validation study. SETTING: The health survey 1984-86 addressed all inhabitants > or = 20 years of age in Nord-Trøndelag county, Norway; 76,885 (90.3%) of the eligible population participated in answering the question on diabetes. PARTICIPANTS: All inhabitants in the municipality answering "yes" to the question on diabetes (n = 169) and the persons with the same sex born closest before and after each diabetic patient and answering "no" to the diabetes question (n = 338) were included. MEASUREMENTS AND MAIN RESULTS: A very thorough search was made in the medical files of the general practitioners in the municipality for corresponding information. Compared to the files, diabetes was verified in 163 out of the 169. The commonest cause of discrepancy was renal glycosuria. One out of the 338 registered non-diabetic persons was found to have diabetes. Diabetic patients tended to overestimate diabetes duration significantly. Insulin treatment was verified in 19/20 (95%) and treatment with oral hypoglycaemic agents in all 44 with an affirmative questionnaire answer. A negative answer on insulin and oral hypoglycaemic agents was verified in 100% and 99% respectively. CONCLUSIONS: The concordance was considerably higher than in a comparable Norwegian study performed 10 years earlier. Patient administered questionnaires may be a very reliable source of information for epidemiological purposes in a well defined chronic disease such as diabetes mellitus.


Subject(s)
Diabetes Mellitus/epidemiology , Surveys and Questionnaires , Adult , Aged , Diabetes Mellitus/drug therapy , Female , Glycosuria, Renal/epidemiology , Humans , Hypertension/epidemiology , Hypoglycemic Agents/therapeutic use , Insulin/therapeutic use , Male , Middle Aged , Norway
2.
Genet Epidemiol ; 9(1): 11-26, 1992.
Article in English | MEDLINE | ID: mdl-1634104

ABSTRACT

Systolic (SBP) and diastolic (DBP) blood pressures were measured in a health screening of the adult population in Nord-Trøndelag, Norway. Correlations were computed for 23,936 pairs of spouses, 43,586 pairs of parent and offspring, 19,151 pairs of siblings, 1,251 pairs of grandparents-grandchildren, 1,146 pairs of biological uncles/aunts-nephews/nieces (avuncular), 801 non-biological avuncular pairs, 169 pairs of same-sex twins, and smaller groups of other types of relationships. Spouse correlations of 0.08 and 0.09 were approximately constant or slightly decreasing with marital duration. The correlation values for SBP and DBP were approximately 0.16 for parents-offspring, 0.19 to 0.23 for same-sex siblings with similar values for DZ twins, 0.19 and 0.16 for opposite-sex siblings, 0.52 and 0.43 for MZ twins, and close to zero for most of the second-order relationships. Genetic additive variance was estimated at 0.29 and genetic dominance variance at 0.18 with the best model for SBP. The corresponding estimates from the best models for DBP were 0.29 or lower and 0.22 or lower, the sum not exceeding 0.35. There was evidence of a moderate effect of environmental factors shared by same-sex siblings and twins (for DBP), but no cultural transmission, and whether or not adult relatives live together does not affect familial resemblance for BP. The data did not permit a very precise resolution of the relative magnitude of genetic dominance and sibling effects. The correlation structure did not show sex-specific genetic effects.


Subject(s)
Blood Pressure/physiology , Environmental Health/statistics & numerical data , Genetic Testing/methods , Adult , Aged , Aged, 80 and over , Blood Pressure/genetics , Female , Humans , Male , Middle Aged , Models, Statistical , Norway/epidemiology
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