Social inequities in cardiovascular disease risk factors in East and West Germany

Helmert, Uwe; Mielck, Andreas; Claßen, Elvira

doi:10.1016/0277-9536(92)90181-o

Cited by 43 publications

(18 citation statements)

References 19 publications

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“…Moreover, they presented low educational level, low family income, and high body mass index, confirming studies [17][18][19] that report that hypertension prevalence is higher among employees with low-skilled jobs, with lower social economical status and unhealthy lifestyles that predispose them to obesity. Regarding the work units, there was a higher percentage of hypertensive individuals at the Institute of Radiology and at the Administration Building.…”

Section: 27supporting

confidence: 63%

Hypertension in employees of a University General Hospital

et al. 2004

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PURPOSE:To find out the prevalence of hypertension in employees of the Hospital and relate it to social demographic variables.METHODS: Blood pressure measurement was performed with a mercury sphygmomanometer, using an appropriate cuff size for arm circumference, weight, and height in a population sample of 864 individuals out of the 9,905 employees of a University General Hospital stratified by gender, age, and job position.RESULTS: Hypertension prevalence was 26% (62% of these reported being aware of their hypertension and 38% were unaware but had systolic/diastolic blood pressures of ≥140 and/or ≥90 mm Hg at the moment of the measurement). Of those who were aware of having hypertension, 51% were found to be hypertensive at the moment of the measurement. The prevalence was found to be 17%, 23%, and 29% (P <.05) in physicians, nursing staff, and "others", respectively. The univariate analysis showed a significant odds ratio for the male gender, age ≥50 years, work unit being the Institute of Radiology and the Administration Building, educational level ≤elementary school, length of work ≥10 years, and body mass index ≥30 kg/m 2 . The multivariate logistic regression model revealed a statistically significant association of hypertension with the following variables: gender, age, skin color, family income, and body mass index.CONCLUSIONS: Hypertension prevalence was high, mainly in those who were not physicians or members of the nursing staff. High-risk groups (obese, non-white, men, low family income) should be better advised of prevention and early diagnosis of hypertension by means of special programs.

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Section: 27supporting

confidence: 63%

Hypertension in employees of a University General Hospital

et al. 2004

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“…The sample consisted of 19.7% workers, 34.1% salaried employees, 28.1% civil servants, 7.9% self-employed, 5.3% apprentices, school, or university students and 4.9% with another professional status. This information about educational level and occupational position was used to compute socio-economic status following guidelines set out by Helmert et al (1993). Table 1 shows variables, value labels and distribution of socio-demographic and economic variables.…”

Section: Resultsmentioning

confidence: 99%

The relationship between social support, shared decision-making and patient’s trust in doctors: a cross-sectional survey of 2,197 inpatients using the Cologne Patient Questionnaire

Ommen

Thuem

Pfaff

et al. 2010

Int J Public Health

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“…The variable socioeconomic status was computed on the basis of the patient's statements concerning education, occupational position, and per capita household net income [23], which was also provided in the sociodemographic section of the survey. The period of time (in days) between discharge from the hospital and September 1, 2002 (reference date) constituted the length of time since hospital discharge.…”

Section: Independent Variablesmentioning

confidence: 99%