Choosing Primary Care: Factors Influencing Graduating Osteopathic Medical Students.

CONTEXT: Access to primary care (PC) improves health outcomes and decreases health care costs. The shortage of PC physicians and shifting physician workforce makes this an ongoing concern. Osteopathic medical schools are making strides to fill this void. Considering the critical need for PC physicians in the United States, this study aims to identify factors related to choosing a PC specialty. OBJECTIVE: To understand possible motivations of osteopathic medical students pursuing a career in PC specialties by examining the role of sex and the influence of 5 key factors in this decision. METHODS: Responses from the annual American Association of Colleges of Osteopathic Medicine graduate survey (2007-2016) were analyzed. Self-reported practice decision considerations of 5 key factors, including (1) intellectual and technical content, (2) debt level, (3) lifestyle, (4) prestige/income level, and (5) personal experience and abilities were summarized, and their subjective value was contrasted between osteopathic medicine graduates pursuing PC specialties vs those pursuing non-PC specialties. RESULTS: The mean percentage of graduates pursuing PC and non-PC specialties from 2007 to 2016 was 31.3% and 68.7%, respectively. Women were 1.75 times more likely to choose PC than men (95% CI, 1.62-1.89). Regardless of specialty choice, lifestyle was the most important factor each year (1027 for PC [75.3%] vs 320 for non-PC [63.3%] in 2016; P<.0001). Students entering PC were more likely to report prestige and income level to be "no or minor influence" compared with students entering non-PC specialties (P<.0001). Debt level was more likely to be a "major influence" to students choosing to enter non-PC specialties than to those entering PC (P<.0001), and the percentage of non-PC students has grown from 383 in 2007 (22.9%) to 833 in 2016 (30.6%). CONCLUSION: Sex was found to significantly influence a graduate's choice of specialty, and female graduates were more likely to enter practice in PC. Each of the 5 survey factors analyzed was significantly different between students entering PC and students entering non-PC specialties. Lifestyle was deemed a major influencing factor, and responses suggested that debt level is a strong influencing factor among students pursuing non-PC specialties.

Serum high-density lipoprotein cholesterol concentration and functional state: The Korean Urban Rural Elderly (KURE) Study.

BACKGROUND: Functional state and cholesterol metabolism are important for older adults; however, this association has not been fully investigated among community-dwelling older adults. Thus, we investigated the association of HDL cholesterol with multiple functional state measures in an elderly Korean population. METHODS: This cross-sectional analysis included 3514 participants, aged 65 years or older, who participated in baseline health assessment for the Korean Urban Rural Elderly cohort study from 2012 to 2015. HDL cholesterol concentration was analyzed using both continuous and categorical variables. Functional state was assessed by the mini-mental state examination (MMSE), activities of daily living (ADL) scale, instrumental activities of daily living (IADL) scale, timed up-and go (TUG) test, and chair-rise test (CRT). Multiple logistic regression models were used to investigate independent association between HDL cholesterol and functional state, after adjusting for sex, age, body mass index, systolic blood pressure, fasting glucose, lipid-lowering drug, history of cancer and cardiovascular disease, and health behaviors. RESULTS: HDL cholesterol concentration was significantly associated with MMSE, ADL, IADL, TUG, and CRT in the unadjusted model. After adjustment for covariates, the association remained significant for MMSE (standardized ß=0.059, p=0.001), ADL (standardized ß=-0.053, p=0.004), and CRT (standardized ß=-0.037, p=0.037). In fully-adjusted model, Participants who had a lower HDL concentration (<40mg/dL) showed significantly increased odds for having MMSE decline (OR 1.451, 95% CI 1.119-1.883) and ADL dependency (OR 2.251, 95% CI 1.119-4.526), compared reference group (≥60mg/dL). CONCLUSIONS: Higher HDL cholesterol concentration was associated with better functional state among Korean older adults.

Gender differences in hypertension control among older korean adults: Korean social life, health, and aging project.

OBJECTIVES: Controlling blood pressure is a key step in reducing cardiovascular mortality in older adults. Gender differences in patients' attitudes after disease diagnosis and their management of the disease have been identified. However, it is unclear whether gender differences exist in hypertension management among older adults. We hypothesized that gender differences would exist among factors associated with hypertension diagnosis and control among community-dwelling, older adults. METHODS: This cross-sectional study analyzed data from 653 Koreans aged ≥60 years who participated in the Korean Social Life, Health, and Aging Project. Multiple logistic regression was used to compare several variables between undiagnosed and diagnosed hypertension, and between uncontrolled and controlled hypertension. RESULTS: Diabetes was more prevalent in men and women who had uncontrolled hypertension than those with controlled hypertension or undiagnosed hypertension. High body mass index was significantly associated with uncontrolled hypertension only in men. Multiple logistic regression analysis indicated that in women, awareness of one's blood pressure level (odds ratio [OR], 2.86; p=0.003) and the number of blood pressure checkups over the previous year (OR, 1.06; p=0.011) might influence the likelihood of being diagnosed with hypertension. More highly educated women were more likely to have controlled hypertension than non-educated women (OR, 5.23; p=0.013). CONCLUSIONS: This study suggests that gender differences exist among factors associated with hypertension diagnosis and control in the study population of community-dwelling, older adults. Education-based health promotion strategies for hypertension control might be more effective in elderly women than in elderly men. Gender-specific approaches may be required to effectively control hypertension among older adults.

Gender-specific differences in risk for intimate partner violence in South Korea.

BACKGROUND: Various risk factors of intimate partner violence (IPV) have been found to vary by gender. South Korea has one of the highest prevalences of IPV in the world; however, little is known about potential risk factors of IPV and whether gender influences this relationship. METHODS: Using data from the 2006 Korea Welfare Panel Study, 8,877 married participants (4,545 men and 4,332 women) aged ≥30 years were included. Reported IPV was categorized as verbal or physical IPV and the association between IPV and related factors was assessed by multivariate logistic regression analysis. RESULTS: Women were significantly more likely than men were to report IPV victimization (verbal 28.2% vs. 24.4%; physical 6.9% vs. 3.4%). Wor odds of physical perpetration than women satisfied with their family. Moreover, alcohol intake was significantly associated with IPV perpetration and victimization in both genders. CONCLUSION: Significant gender-specific differences were found among factors related to perpetrating violence and being a victim of violence among adults in heterosexual relationships in South Korea.

Development and application of chronic disease risk prediction models.

Currently, non-communicable chronic diseases are a major cause of morbidity and mortality worldwide, and a large proportion of chronic diseases are preventable through risk factor management. However, the prevention efficacy at the individual level is not yet satisfactory. Chronic disease prediction models have been developed to assist physicians and individuals in clinical decision-making. A chronic disease prediction model assesses multiple risk factors together and estimates an absolute disease risk for the individual. Accurate prediction of an individual's future risk for a certain disease enables the comparison of benefits and risks of treatment, the costs of alternative prevention strategies, and selection of the most efficient strategy for the individual. A large number of chronic disease prediction models, especially targeting cardiovascular diseases and cancers, have been suggested, and some of them have been adopted in the clinical practice guidelines and recommendations of many countries. Although few chronic disease prediction tools have been suggested in the Korean population, their clinical utility is not as high as expected. This article reviews methodologies that are commonly used for developing and evaluating a chronic disease prediction model and discusses the current status of chronic disease prediction in Korea.

The influence of sex and age on the relationship between sleep duration and metabolic syndrome in Korean adults.

AIMS: To investigate the influence of sex and age on the relationship between sleep duration and metabolic syndrome in a nationally representative population. METHODS: We used data from the Korea National Health and Nutrition Examination Survey (2001-2010) and enrolled 24,511 participants aged 20-79 years. Sleep duration was categorized into five groups: ≤5, 6, 7 (referent), 8, and ≥9h/day. Age was categorized into three groups: younger (20-39y), middle-aged (40-59y), and older (60-79y). The association between sleep duration and metabolic syndrome was assessed in the total, separately in men and women, then in six groups based on sex and age. RESULTS: The prevalence of metabolic syndrome by sleep category demonstrated a U-shaped pattern in the total population. However, after adjusting for age, education, occupation, exercise, smoking, alcohol, and body mass index, the prevalence of metabolic syndrome increased in long sleepers (OR 1.31; 95% CI 1.14-1.51) but not in short sleepers (OR 1.00; 95% CI 0.89-1.11). The relationship between sleep duration and metabolic syndrome varied by sex and age-long sleep (≥9h/day) was positively associated with metabolic syndrome only in younger (OR 2.13; 95% CI 1.38-3.28) and middle-aged (OR 1.63; 95% CI 1.21-2.21) women. Short sleep (≤5h/day) was not associated with metabolic syndrome in any sex and age groups. However, extremely short sleep (≤4h/day) was associated with metabolic syndrome in middle-aged men (OR 1.76, 95% CI 1.05-2.96). CONCLUSION: These data suggest that sex and age significantly modify the relationship between sleep duration and metabolic syndrome.