Cardiovascular disease (CVD) has become the most common cause of mortality and morbidity worldwide. Health screening is associated with higher outpatient visits for detection and treatment of CVD-related diseases (diabetes mellitus, hypertension, and dyslipidemia). We examined the association between health screening, health utilization, and economic status.
A sampled cohort database from the National Health Insurance Corporation was used. We included 306,206 participants, aged over 40 years, without CVD (myocardial infarction, stroke, and cerebral hemorrhage), CVD-related disease, cancer, and chronic renal disease. The follow-up period was from January 1, 2003 through December 31, 2005.
Totally, 104,584 participants received at least one health screening in 2003–2004. The odds ratio of the health screening attendance rate for the five economic status categories was 1.27 (95% confidence interval [CI], 1.24 to 1.31), 1.05 (95% CI, 1.02 to 1.08), 1, 1.16 (95% CI, 1.13 to 1.19) and 1.50 (95% CI, 1.46 to 1.53), respectively. For economic status 1, 3, and 5, respectively, the diagnostic rate after health screening was as follows: diabetes mellitus: 5.94%, 5.36%, and 3.77%; hypertension: 32.75%, 30.16%, and 25.23%; and dyslipidemia: 13.43%, 12.69%, and 12.20%. The outpatient visit rate for attendees diagnosed with CVD-related disease was as follows for economic status 1, 3, and 5, respectively: diabetes mellitus: 37.69%, 37.30%, and 43.70%; hypertension: 34.44%, 30.09%, and 32.31%; and dyslipidemia: 18.83%, 20.35%, and 23.48%.
Thus, higher or lower economic status groups had a higher health screening attendance rate than the middle economic status group. The lower economic status group showed lower outpatient visits after screening, although it had a higher rate of CVD diagnosis.
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An increase in the obese adolescent population is being recognized as a serious medical and social problem. The present study aimed to examine the association between neighborhood socioeconomic status (SES) and obesity in Korean adolescents based on total available resources and local social inequality models.
The present study used data from the 2013 Korea Youth Risk Behavior Web-based Survey in analyzing 72,438 Korean adolescents aged 12–18. The analysis investigated obesity odds ratio (OR) according to neighborhood SES adjusted for age and individual SES indices, which included family affluence scale (FAS), education level of parents, cohabitation with parents, and weekly allowance. Obesity OR was investigated according to neighborhood SES by FAS, and according to FAS by neighborhood SES.
After adjusting for age and individual SES variables, there was no significant association between neighborhood SES and adolescent obesity for either boys or girls. However, girls in the high FAS group showed a pattern of lower neighborhood SES being associated with a significant increase in risk of obesity; in the high neighborhood SES group, boys showed a pattern of higher FAS being associated with a significant increase in risk of obesity, whereas girls show a pattern of decrease.
Although limited, the present study demonstrated that some girl groups exhibited a pattern of lower neighborhood SES being associated with an increase in risk of obesity, as well as a gender-based difference in risk of obesity by individual SES. Therefore, measures to prevent adolescent obesity should be established with consideration for differences in risk according to individual and neighborhood SES.
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Childhood socioeconomic status (SES) is known to affect cardio-metabolic disease risk. However, the relationship between childhood SES and metabolic syndrome (MetS) remains uncertain. Therefore, we investigated the relationship between childhood SES, as measured by maternal education and occupational status and adult-onset MetS in the Korean population.
We examined the association between childhood SES, as measured by maternal education level and occupational status during an individual's childhood, and MetS in Korean adults aged 20 to 79 years who participated in the 2007-2009 Korean National Health Examination and Nutrition Survey. The components of MetS, including waist circumference, fasting glucose, lipid profiles, and blood pressure, were measured. Adjusted odds ratios (ORs) for MetS were calculated using multiple logistic regression models.
Significant differences in the association between maternal education level, occupational status, and MetS were found between males and females. In females, the adjusted MetS OR for the highest maternal education quartile relative to the lowest quartile was 0.46 (0.21-0.99). Similarly, in females, the adjusted OR for individuals whose mothers worked when they were children relative to those whose mothers did not work was 1.23 (1.04-1.44). In males, no significant associations between maternal education, maternal occupational status, and MetS were found.
We found independent, positive associations between maternal education and occupational status and MetS in Korean females. These findings suggest that public health education targeting MetS prevention should be considered, especially among children with less opportunity for maternal support.
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