Objectives Given the increase in osteoporosis among health volunteers and the effect of health literacy on the adoption of nutritional preventive behaviors, this study aimed to determine the effects of an educational intervention on health literacy and the adoption of nutritional preventive behaviors related to osteoporosis among health volunteers.
Methods This was a quasi-experimental, interventional study of health volunteers conducted in 2020. In this study, 140 subjects (70 in both intervention and control groups) were selected using the random multi-stage sampling method. An educational intervention was conducted using the Telegram application, and educational messages were sent to the health volunteers in the intervention group across 6 sessions. Data were collected via a demographic questionnaire, the Health Literacy for Iranian Adults survey, and a nutritional performance questionnaire, which were completed before and 3 months after the intervention. The data were collected and analyzed using SPSS version 23.
Results Before the intervention, there were no significant differences in the mean scores for health literacy variables and the adoption of nutritional preventive behaviors between the intervention and control groups (p>0.05). After the intervention, there was a significant change in the mean scores for health literacy and the adoption of preventive behaviors in the intervention group (p<0.05) as opposed to the control group.
Conclusions Interventions aimed at increasing health literacy are effective for promoting the adoption of preventive and healthy nutritional behaviors related to osteoporosis.
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Objectives This study investigated the effects of socio-demographic factors on the decreasing trend in the sex ratio at birth from 1997 to 2017 in Korea.
Methods Data from 10 349 602 live births registered with Statistics Korea from 1997 to 2017 were analyzed. The secondary sex ratio (SSR), defined as the ratio of male to female live births, during the study period (1997-1999 [phase I], 2000-2002 [phase II], 2003-2005 [phase III], 2006-2008 [phase IV], 2009-2011 [phase V], 2012-2014 [phase VI], and 2015-2017 [phase VII]) was calculated according to selected socio-demographic factors, such as parental age, education, occupation, and birth order. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals for a male birth after adjusting for potential confounders.
Results The SSR gradually decreased from 1.10 (in 1998-2000 and 2002) to 1.05 (in 2013-2016). While a decreasing trend in the SSR was not noted among first births, male-biased sex ratios were prominent among third and higher-order births, for which the highest SSR was 1.46 in 1998. Higher birth order was significantly associated with an excess of male births in phases I-VI (≥third vs. first, OR range, 1.03 to 1.35). Advanced maternal age was significantly associated with an excess of female births in phases II, III, and V (≥40 vs. 20-24 years, OR range, 0.92 to 0.95).
Conclusions This study demonstrated that advanced maternal age and reduction of the artificially-biased SSR among third and higher-order births may partially explain the decreasing trend in the SSR from 1997 to 2017 in Korea.
Objectives The association between educational status and 10-year risk for acute coronary syndrome (ACS) and all-cause mortality was evaluated.
Methods From October 2003 to September 2004, 2172 consecutive ACS patients from six Greek hospitals were enrolled. In 2013 to 2014, a 10-year follow-up (2004-2014) assessment was performed for 1918 participants (participation rate, 88%). Each patient’s educational status was classified as low (<9 years of school), intermediate (9 to 14 years), or high (>14 years).
Results Overall all-cause mortality was almost twofold higher in the low-education group than in the intermediate-education and high-education groups (40% vs. 22% and 19%, respectively, p<0.001). Additionally, 10-year recurrent ACS events (fatal and non-fatal) were more common in the low-education group than in the intermediate-education and high-education groups (42% vs. 30% and 35%, p<0.001), and no interactions between sex and education on the investigated outcomes were observed. Moreover, patients in the high-education group were more physically active, had a better financial status, and were less likely to have hypertension, diabetes, or ACS than the participants with the least education (p<0.001); however, when those characteristics and lifestyle habits were accounted for, no moderating effects regarding the relationship of educational status with all-cause mortality and ACS events were observed.
Conclusions A U-shaped association may be proposed for the relationship between ACS prognosis and educational status, with participants in the low-education and high-education groups being negatively affected by other factors (e.g., job stress, depression, or loneliness). Public health policies should be aimed at specific social groups to reduce the overall burden of cardiovascular disease morbidity.
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OBJECTIVES There have been few studies examining the differences in health care utilization across social classes during the last year of life. Therefore, in this study we analyzed the quantitative and qualitative differences in health care utilization among cancer patients across educational classes in their last year of life, and derived from it implications for policy. METHODS: To evaluate health care utilization by cancer patients in the last year of life, Death certificate data from 2004 were merged with National Health Insurance data (n=60,088). In order to use educational level as a social class index, we selected the individuals aged 40 and over as study subjects (n=57,484). We analyzed the differences in the medical expenditures, admission days, and rates of admission experience across educational classes descriptively. Multiple regression analysis was conducted to evaluate the association between medical expenditures and independent variables such as sex, age, education class, site of death and type of cancer. RESULTS: The upper educational class spent much more on medical expenditures in the last one year of life, particularly during the last month of life, than the lower educational class did. The ratio of monthly medical expenditures per capita between the college class and no education class was 2.5 in the last 6-12 months of life, but the ratio was 1.6 in the last 1 month. Also, the lower the educational class, the higher the proportion of medical expenditures during the last one month of life, compared to total medical expenditures in the last one year of life. The college educational class had a much higher rate of admission experiences in tertiary hospitals within Seoul than the other education classes did. CONCLUSIONS: This study shows that the lower educational classes had qualitative and quantitative disadvantages in utilizing health care services for cancer in the last year of life.
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Throughout the century, based on the precedent set by Flexner in the United States, almost every subsequent report on the reform of medical education has pointed out the need for more prevention-oriented teaching in the curriculum. This has been particularly so in countries like Korea where the basic public health services have been so important for the improvement of health of the people. And, in fact, preventive medicine and public health have contributed a great deal to the prevention of communicable diseases and prolongation of life expectancy. Recently, however, along with the educational reform that emphasizing the interdisciplinary teaching, integration of basic science and clinical education, and centralization of responsibility for the medical education curriculum, concerns are being voiced by preventive medicine educators. These concerns are primarily centered around the fear that the implementation of interdisciplinary, centrally administered courses would result in a weakening of content and teaching expertise as well as a loss of departmental power and control. This paper foresees that preventive medicine and public health will be more important in Korea in the future and proposes that preventive medicine educators will have to step forward and turn the challenges of curricula restructuring into opportunities to expand the role of preventive medicine in the curricula of their institutions.