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Purpose: The purpose of this study was to examine the prevalence and risk factors of suicidal ideation among middle class Korean. Methods: Cross sectional study was designed for secondary data analysis. From the 8th Korea Health Panel survey (2008~2013), a total of 6,037 data was drawn and analyzed by developmental stage using descriptive statistics including frequency, percentage, x 2 test, and logistic regression analysis. Results: Across all age groups, high physical-mental stress, frustration, anxiety about the future and low self-perceived health status or social class were found to be the risk factors of suicidal ideation. Peer-compared subjective health status and frustration significantly influenced the adolescents. The young adults'suicidal ideation was mainly influenced by physical and mental stress, frustration and absence of economic activity. For the middle-aged, physical and mental stress, frustration, future anxiety, low peer-compared subjective health status were found to be the major influencing factors. The predominant risk factors for the elderly were frustration and low peer-compared subjective health status. Conclusion: Making comparisons to others significantly influence suicidal ideation throughout all life cycles. Improvement of mental health and suicide prevention can be enhanced by avoiding negative comparison to others.

Purpose:The purposes of this secondary analysis study was to examine prevalence, risk factors and unmet healthcare needs among adults with hypertension. Methods: A sample of 3,386 adults over the age of 40 with hypertension were drawn from the Korea Health Panel Study (2013). Using SPSS 22.0 version, descriptive statistics including frequency, percentage, chi-square and logistic regression were performed. Results: Results showed that 18.9% of the sample reported unmet healthcare needs with the most frequently cited one was financial burdens (43.2%). The reported experiences of unmet healthcare needs differed by gender, marital status, vision or hearing impairment, memory problem, impaired mobility, subjective health status, total family income, depressive episode and the difficulty in making decisions. The sample participants were more likely to report unmet healthcare if they had vision impairment, low income and perception that their health status as moderate to poor. Those without vision impairment were less likely to report unmet healthcare needs. Conclusion: The identified risk factors of unmet healthcare needs should be addressed which would enhance access both to health care and to resolution of unmet healthcare needs. Since visual ability seems to impact perception of unmet healthcare needs, it may be useful to find ways to address this factor. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IntroductionWorse sleep quality and increased inflammatory markers in women with schizophrenia (Sch) have been reported (Lee et al. 2019). However, the physiological mechanisms underlying the interplay between sleep and the inflammatory pathways are not yet well understood (Fang et al. 2016).ObjectivesAnalyze the relationship between Neutrophil/Lymphocyte (NLR), Monocyte/Lymphocyte (MLR) and Platelet/Lymphocyte (PLR) ratios, and insomnia in Sch stratified by sex.MethodsFinal sample included 176 Sch patients (ICD-10 criteria) [mean age: 38.9±13.39; males: 111(63.1%)]. Assessment: PANSS, Calgary Depression Scale (CDSS), and Oviedo Sleep Questionnaire (OSQ) to identify a comorbid diagnosis of insomnia based on ICD-10. Fasting counting blood cell were performed to calculate ratios. Statistics: U Mann-Whitney, logistic regression.ResultsInsomnia as comorbid diagnosis was present in 22 Sch (12.5%) with no differences between sex [14 males (12.6%), 8 females (12.3%)], neither in their age. Female patients with insomnia showed increased NLR [2.44±0.69 vs. 1.88±0.80, U=122.00 (p=0.034)]. However, no differences in PLR and MLR were found, neither in any ratio in males. Regression models using insomnia as dependent variable and covariates (age, PANSS-positive, PANSS-negative, CDSS) were estimated. Females: presence of insomnia was associated with NLR [OR=3.564 (p=0.032)], PANSS-positive [OR=1.263 (p=0.013)] and CDSS [OR=1.198 (p=0.092)]. Males: only PANSS-positive [OR=1.123 (p=0.027)] and CDSS scores [OR=1.220 (p=0.005)] were associated with insomnia.ConclusionsNLR represent an inflammatory marker of insomnia in Sch but only in female patients. Improving sleep quality in these patients could help to decrease their inflammatory response.DisclosureNo significant relationships.