To investigate the impact of indicators of occupational class on healthcare utilization by using longitudinal data from a nationally representative survey.
Data were obtained from the Korean Welfare Panel Study conducted from 2006 (wave 1) through 2014 (wave 9). A total of 5,104 individuals were selected at baseline (2006). Analysis of variance and longitudinal data analysis were used to evaluate the following dependent variables: number of outpatient visits and number of days spent in the hospital per year.
The number of annual outpatient visits was 4.298 days higher (P<0.0001) in class IV, 0.438 days higher (P=0.027) in class III, and 0.335 days higher (P=0.035) in class II than in class I. The number of days spent in the hospital per year was 0.610 days higher (P=0.001) in class IV, 0.547 days higher (P<0.0001) in class III, and 0.115 days higher (P=0.136) in class III than in class I. In addition, the number of days spent in the hospital in class IV patients with unmet healthcare needs showed an opposite trend to that predicted on the basis of socioeconomic status (estimate,−8.524; P-value=0.015).
Patients whose jobs involved manual or physical labor were significantly associated with higher healthcare utilization. Thus, the results suggest that healthcare utilization in different occupational classes should be improved by monitoring work environments and promoting health-enhancing behaviors.
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Several studies have shown that family meals promote a well-balanced and healthier diet and weight status. Metabolic syndrome is related to eating behavior. This study investigated the association between eating family meals and the prevalence of metabolic syndrome.
This cross-sectional study included 4,529 subjects who participated in the Korea National Health and Nutrition Examination Survey IV and V (2007–2012). A self-reported questionnaire was used to assess dietary status. Metabolic syndrome was defined according to the guidelines of the modified version of the National Cholesterol Education Program Adult Treatment Panel III. We compared the overall quality of dietary intake in family meal.
Nutritional adequacy ratios for energy, protein, calcium, vitamin A, vitamin B1, vitamin B2, vitamin C, niacin, and potassium, and the mean adequacy ratio were significantly higher in the family meal group (P<0.05). The prevalence of metabolic syndrome was lower in the family meal group (P<0.05). However, we observed no significant association between eating family meals and the prevalence of metabolic syndrome.
This study demonstrated that eating family meals appeared to be associated with nutrient adequacy. However, we observed no significant differences in prevalence of metabolic syndrome between the 2 groups.
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We investigated the association between socioeconomic status (SES) and cancer screening in a Korean population aged 40 years or older.
This cross-sectional study included 12,303 participants (5,284 men and 7,019 women) who participated in the 2010–2012 Korean National Health and Nutrition Examination Survey. Self-reported questionnaires were used to assess participant's SES (household income, occupational, and educational status) and cancer screening behavior.
Compared to the lowest household income group, the odds ratios (ORs) (95% confidence intervals [CIs]) for overall cancer screening of the highest income group were 2.113 (1.606–2.781) in men and 1.476 (1.157–1.883) in women; those for private cancer screening of the highest income group were 2.446 (1.800–3.324) in men and 2.630 (2.050–3.373) in women, while those for National Cancer Screening Programs (NCSP) in the highest income group were 1.076 (0.805–1.439) in men and 0.492 (0.388–0.623) in women. Compared to manual workers, ORs (95% CIs) for private cancer screening of office workers were 1.300 (1.018–1.660) in men and 0.822 (0.616–1.098) in women. In comparison to the least educated men, OR (95% CI) for private cancer screening of the most educated men was statistically significant (1.530 [1.117–2.095]).
Higher economic status was associated with higher rates of overall and private cancer screening in both sexes and a lower rate of NCSP in women. Male office workers and more educated individuals underwent private cancer screening at a higher rate than manual workers and less educated individuals, respectively.
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Underweight refers to the weight range in which health risk can increase, since the weight is lower than a healthy weight. Negative attitudes towards obesity and socio-cultural preference for thinness could induce even underweight persons to attempt weight control. This study was conducted to investigate factors related to weight control attempts in underweight Korean adults.
This was a cross-sectional study on 690 underweight adults aged 25 to 69 years using data from the Korea National Health and Nutrition Examination Survey, 2007-2010. Body image perception, weight control attempts during the past one year, various health behaviors, history of chronic diseases, and socioeconomic status were surveyed.
Underweight women had a higher rate of weight control attempts than underweight men (25.4% vs. 8.1%, P < 0.001). Among underweight men, subjects with the highest physical activity level (odds ratio [OR], 7.75), subjects with physician-diagnosed history of chronic diseases (OR, 7.70), and subjects with non-manual jobs or other jobs (OR, 6.22; 12.39 with reference to manual workers) had a higher likelihood of weight control attempts. Among underweight women, subjects who did not perceive themselves as thin (OR, 4.71), subjects with the highest household income level (OR, 2.61), and unmarried subjects (OR, 2.08) had a higher likelihood of weight control attempts.
This study shows that numbers of underweight Korean adults have tried to control weight, especially women. Seeing that there are gender differences in factors related to weight control attempts in underweight adults, gender should be considered in helping underweight adults to maintain a healthy weight.
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Death from uterine cervical cancer could be preventable by an active participation of women at risk in a screening program such as the Papanicolaou test. In order to examine the presence of socioeconomic disparity in preventable deaths, we evaluated the time trends of cervical cancer mortality by socioeconomic status in Korean women.
We selected level of educational attainment and marital status as surrogate indices of socioeconomic status. Using death certificate data and Korean Population and Housing Census data from Korea National Statistical office, we calculated age-standardized yearly mortality rates from cervical cancer between 1998 and 2009 according to the level of education as well as marital status.
Cervical cancer mortality peaked in 2003 and then decreased gradually over time. Cervical cancer mortality was the highest in the group with the lowest level of educational attainment in all age groups and the gap between the lowest and the highest educational level has increased over time. Cervical cancer mortality was lower in married women than unmarried women in all age groups, and the degree of difference did not change over time.
In the Korean population, socioeconomic differential in cervical cancer mortality has persisted over time.
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The purpose of this study was to examine the association of metabolic syndrome (MS) coronary heart disease (CHD) with socioeconomic status (SES).
The participants were 2,170 (631 men and 1,539 women), aged over 40 years who had visited for health screening from April to December in 2009. We classified them into three SES levels according to their education and income levels. MS was defined using the criteria of modified National Cholesterol Education Program Adult Treatment Panel III and CHD risk was defined using Framingham risk score (FRS) ≥ 10%.
High, middle, and low SES were 12.0%, 73.7%, and 14.3%, respectively. The prevalence of MS was 18.1%. For high, middle, and low SES, after adjusted covariates (age, drinking, smoking, and exercise), odds ratios for MS in men were 1.0, 1.41 (confidence interval [CI], 0.83 to 2.38; P > 0.05), and 1.50 (CI, 0.69 to 3.27; P > 0.05), respectively and in women were 1.0, 1.74 (CI, 1.05 to 3.18; P < 0.05), and 2.81 (CI, 1.46 to 2.43; P < 0.05), respectively. The prevalence of FRS ≥ 10% was 33.5% (adjusted covariates were drinking, smoking, and exercise) and odds ratios for FRS ≥ 10% in men were 1.0, 2.86 (CI, 1.35 to 6.08; P < 0.001), and 3.12 (CI, 1.94 to 5.00; P < 0.001), respectively and in women were 1.0, 3.24 (CI, 1.71 to 6.12; P < 0.001), and 8.80 (CI, 4.50 to 17.23; P < 0.001), respectively.
There was an inverse relationship between SES and FRS ≥ 10% risk in men, and an inverse relationship between SES and both risk of MS and FRS ≥ 10% in women.
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