Agreement between Questionnaire Data and Medical Records of Chronic Diseases in Middle-aged and Elderly Finnish Men and Women

Haapanen, N.; Miilunpalo, Seppo; Pasanen, Matti; Oja, Pekka; Vuori, Ilkka

doi:10.1093/aje/145.8.762

Cited by 380 publications

(278 citation statements)

References 18 publications

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“…Thus, our results refer to individuals with diabetes diagnosed in early middle-age. The agreement between self-report and medical record diagnoses of diabetes is good [8], and our analyses using inpatient hospital discharge records were very similar to those for the main analyses using self-report. Self-report of adult weight and height may be biased, but the association between adult BMI and diabetes in this study, consistent with other studies using measured BMI, suggests that there is no major bias.…”

Section: Discussionsupporting

confidence: 66%

The associations of birthweight, gestational age and childhood BMI with type 2 diabetes: findings from the Aberdeen Children of the 1950s cohort

et al. 2006

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Aims/hypothesis The aim of this study was to examine the associations of birthweight, gestational age and childhood BMI (assessed at a mean age of 5 years) with a self-report of a doctor diagnosis of diabetes in middle age. Methods We studied a birth cohort of 5,793 individuals who were born between 1950 and 1956 in Aberdeen, Scotland, and who responded to a questionnaire administered in 2000. Results Birthweight and gestational age were inversely associated with diabetes. These associations remained with additional adjustment for indicators of childhood and adult socioeconomic position, maternal complications of pregnancy, adult smoking, adult BMI and simultaneous adjustment for each other: the adjusted odds ratio per unit increase in birthweight z score was 0.73 (95% CI 0.60-0.88), the odds ratio per week increase in gestational age was 0.91 (95% CI 0.82-1.00) and odds ratio for preterm birth was 2.04 (94% CI 1.18-3.53). The positive association of childhood BMI with diabetes was attenuated on adjustment for adult BMI. Conclusions/interpretationIn this population, who were born in the 1950s, poor intrauterine growth and preterm birth are associated with an increased risk of diabetes.

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Section: Discussionsupporting

confidence: 66%

The associations of birthweight, gestational age and childhood BMI with type 2 diabetes: findings from the Aberdeen Children of the 1950s cohort

et al. 2006

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“…39,40 Another limitation is that undiagnosed hypertension and other risk factors were not accounted for, since 6.4% of respondents admitted never having their BP measured. A major drawback to our study is the absence of any clinical measurement for the documentation of hypertension; however, several studies carried out both nationally 41 and internationally [42][43][44][45][46] to assess the validity of self-reported chronic diseases including hypertension revealed a moderate to substantial agreement between questionnaire data and either clinical examinations 42,43 or medical records. [44][45][46] A study carried out in Beirut 41 to assess the agreement between selfreported morbidity and physical examination, revealed that heart disease had the highest agreement followed by hypertension and concluded that the health interview survey was reasonably accurate for data collection of chronic conditions, which are clearly defined for the population.…”

Section: Discussionmentioning

confidence: 99%

The prevalence of hypertension and its association with other cardiovascular disease risk factors in a representative sample of the Lebanese population

2005

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Hypertension is a well-known major risk factor for cardiovascular diseases. This study has been designed to assess the prevalence of hypertension, its cooccurrence with other cardiovascular risk factors and its association with cardiovascular diseases in a representative sample of Lebanese population. A pretested questionnaire was administered to 2125 adults aged equal or above 30 years old from all regions in Lebanon and proportionate with the respective population density. Data revealed that 23.1% of the respondents admitted being hypertensive, with no statistically significant difference between male and female patients. Prevalence of hypertension increased with age (Po0.01) and hypertension tended to occur more in the less educated and the unemployed (Po0.01). Only 45.7% of hypertensive patients followed a low fat diet while 14.7% exercised daily. The prevalence of hypertension increased significantly with an increase in body mass index particularly in female patients. Among the hypertensive respondents, 23.9% were diabetic, 38.1% were hyperlipidaemic and 9.1% were both diabetic and hyperlipidaemic. Co-occurrence of hypertension with diabetes, hyperlipidaemia or both was more common in female patients compared to male patients. In addition, stroke, myocardial infarction (MI) and atherothrombosis occurred in hypertensive respondents at rates of 2.4, 4.3 and 9.5%, respectively. Hypertensive female patients reported more stroke and atherothrombotic episodes compared to male patients, whereas hypertensive male patients had more MIs. Based on these results it is very important to address the issue of lifestyle modification for the prevention and treatment of hypertension and awareness campaigns should stress the fact that cardiovascular diseases are not only restricted to men.

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“…Studies of the validity of such self reports 22,23 have shown them to be relatively reliable. Such self reports would presumably cause only minor misclassification errors, which would only cause slight underestimates of the true impact of reverse causation due to smoking and serious illness.…”

Section: Discussionmentioning

confidence: 99%

Putative biases in estimating mortality attributable to obesity in the US population

2007

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Background: A recent analysis concluded that there were fewer excess deaths attributable to obesity in the US population than previously believed. This analysis may not have fully corrected for two putative biases, the regression-dilution and the reversecausation biases. It is not presently known whether correcting for these biases would increase estimates of excess deaths attributable to obesity. Methods: All-cause mortality hazard ratios (HRs) for different body mass index (BMI) categories were calculated and adjusted for confounding factors, using data from the prospective Atherosclerosis Risk in Communities Study. The analysis was based on 12 457 individuals aged 51-70 years and 606 all-cause deaths during a 5.3-year follow-up. The HRs were corrected for the regression-dilution and reverse-causation biases, and compared with data from a previously published study to evaluate the effects of correcting for these putative biases on estimates of excess deaths attributable to obesity in the US population.Results: The uncorrected all-cause mortality HR for obesity (BMIX30) was 1.26 (95% confidence interval (95% CI) ¼ 1.01-1.58), using the 21-25 kg/m 2 as ideal-weight category. Correcting for regression dilution increased the HR to 1.46 (95% CI ¼ 1.17-1.83). Correcting for both putative biases increased it further to 2.70 (95% CI ¼ 1.31-5.57). Such increases in HRs are consonant with increases of several hundred percent in estimates of deaths attributable to obesity in the US. Conclusions: Correcting for putative biases yielded increases in all-cause mortality HRs for obesity that correspond to substantial increases in estimates of excess deaths attributable to obesity in the US population.

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Agreement between Questionnaire Data and Medical Records of Chronic Diseases in Middle-aged and Elderly Finnish Men and Women

Cited by 380 publications

References 18 publications

The associations of birthweight, gestational age and childhood BMI with type 2 diabetes: findings from the Aberdeen Children of the 1950s cohort

The associations of birthweight, gestational age and childhood BMI with type 2 diabetes: findings from the Aberdeen Children of the 1950s cohort

The prevalence of hypertension and its association with other cardiovascular disease risk factors in a representative sample of the Lebanese population

Putative biases in estimating mortality attributable to obesity in the US population

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