This study explores the impact of perceived stress on the academic performance of orthopaedic surgery residents in the Philippines. Conducted as a cross-sectional investigation, it involved 126 residents who participated in the 2024 Philippine Board of Orthopaedics In-Service Training Examination (ITE). Stress levels were assessed using the Perceived Stress Scale-10 (PSS-10), while ITE scores served as the measure of academic performance. A significant negative correlation was identified between stress and academic performance (r = -0.3138, p = 0.00010). Residents experiencing high stress achieved lower scores (55.2%) compared to those with low to moderate stress (61.8%). Other demographic variables such as sex, age, marital status and type of training institution (public and private) were not significantly associated with stress level findings. On the other hand, key factors contributing to elevated stress included insufficient sleep (0–4 hours nightly; OR = 5.83, p = 0.0289) and limited awareness of mental health issues (OR = 13.34, p = 0.0014). These results highlight the pressing need for stress reduction initiatives, improved mental health education and strategies to address challenges posed by sleep deprivation and extensive work hours. This study provides a foundation for improving both academic outcomes and overall well-being in residency programs.

Human ; Male ; Female ; Adult: 25-44 Yrs Old ; World Health Organization ; Sleep Deprivation ; Internship And Residency ; Health Education ; Cross-sectional Studies ; Marital Status

PURPOSE: Traffic accidents are one of the major health problems in the world, being the first cause of burden of illness and the second leading cause of death in Iran. The Sistan-Baluchestan province is one of the most accidental provinces of Iran with the highest rate of accidents-caused deaths. This study was conducted to determine the risk factors associated with traffic accidents in Zahedan through 2013 to 2016. METHODS: This analytical cross-sectional study was carried out on 223 drivers from Zahedan who were traumatized by traffic accident and sent to Zahedan hospitals. The data were obtained through interviews taken by the trained interviewers via refereeing to the medical records and collected in the researcher-made checklist. Census was obtained from the study subjects. For data analysis, independent t-test, one-way ANOVA, Chi-square and logistic regression were used with the Stata software version 11.0. RESULTS: In this study, 223 male subjects with the mean age of (32.54 ± 12.95) years, 39.8% single and 60.2% married, entered for investigation. Most accidents (38.8%) occurred between 12:00 to 17:59. While driving, 47.1% of the study subjects were using cell phones, 89.1% had manual use of mobile phones, 21.9% had a habit of sending short message service (SMS) and 23.4% had sent SMS within 10 min before the accident. The one way analysis of variance showed that the mean age of individuals with marital status, driving experience, education and accident with motorcycle were significantly different (p < 0.05). Also, the multivariate logistic regression test indicated a significant relationship of smoking, ethnicity, insurance and SMS typing while driving with motorcycle accident (p < 0.05). CONCLUSION In this study, SMS and smoking while driving had the highest risk among the variables studied in the motorcycle accidents. Therefore, effective education attempting to enhance people's awareness about the consequences of using cell phone and smoking during driving to reduce traffic accidents seems necessary.
Accidents, Traffic/statistics & numerical data* ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Automobile Driving ; Cause of Death ; Cell Phone Use/adverse effects* ; Cross-Sectional Studies ; Female ; Health Education ; Humans ; Iran/epidemiology* ; Male ; Marital Status ; Middle Aged ; Risk ; Smoking/adverse effects* ; Young Adult

PURPOSE: This study was done to identify the factors involved in ageism in nurses.METHODS: The participants in this study were 178 general hospital nurses. Data were collected in March 2019 using self-report questionnaires, and were analyzed using descriptive statistics, independent t-test, Mann-Whitney U test, one-way ANOVA, Kruskal-Wallis test, and stepwise multiple linear regression.RESULTS: The total score for ageism was 39.75±5.44 out of a maximum of 72. Ageism had a statistically significant relationship with contact experience (r=-.47, p < .001), attitude (r=.40 p < .001), and aging anxiety (r=.35 p < .001). The determining factors affecting ageism were contact experience (β=-.45, p < .001), attitude(β=.20, p=.002), work place (β=.22, p < .001), marital status (β=.21, p < .001), geriatric nursing preference (β=.18, p=.006), geriatric education (β=.17, p=.006), and aging anxiety (β=.14, p=.041). The explanation power of these variables was 39%.CONCLUSION: The results suggest that contact experience with elders had the largest influence on ageism in nurses. Therefore, it is necessary to develop tailored education programs by hospital type to increase positive contact experience and promote understanding of older patients in acute care settings. Furthermore, the importance of the perception of ageism needs to be highlighted in nursing education and continuing education for nurses.
Ageism ; Aging ; Anxiety ; Education ; Education, Continuing ; Education, Nursing ; Geriatric Nursing ; Hospitals, General ; Humans ; Linear Models ; Marital Status ; Workplace

PURPOSE: This study aimed to identify the influence of job stress, compassion satisfaction, and resilience on depression of nurses.METHODS: One hundred seventy six nurses working at one tertiary hospital in one metropolitan city were included. The data collection was conducted from September 1st to October 1st, 2018, using a structured, self-reported questionnaire. The collected data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression.RESULTS: The M±SD age of 170 subjects was 29.62±5.59. Depression had significant negative correlations with compassion satisfaction (r=−.50, p < .001) and resilience (r=−.56, p < .001), and a positive correlation with job stress (r=.42, p < .001). In the multiple regression analysis, marital status (β=−.15, p=.015), job stress (β=−.00, p < .001) and resilience (β=−5.47, p < .001) had a significant effect on depression. The explanatory power of the subject's marital status, leisure life, job stress, compassion satisfaction, and resilience on depression was 44.1% (F=27.62, p < .001).CONCLUSION: The study results showed that single status, low job stress, high resilience may decrease depression of nurses. Reducing job stress and improving resilience of nurses will virtually contribute to reduce their depression that can influence on not only nurses' health status but also their performance and qualitative caring for patients.
Data Collection ; Depression ; Empathy ; Humans ; Leisure Activities ; Marital Status ; Tertiary Care Centers

BACKGROUND: The importance of stress relief methods is becoming an important issue in developed societies. However, no studies have examined the effects of stress relief methods on the risk of engaging in high-risk alcohol consumption. Therefore, we aimed to investigate the association between stress relief methods and high-risk alcohol consumption.METHODS: This study included a total of 5,313 subjects who participated in the 2005 Korean National Health and Nutritional Examination Survey. To evaluate high-risk alcohol consumption, we used the alcohol use disorders identification test (AUDIT-K). Regarding the stress relief method, participants were divided into three groups as follows: 1) those who were non-smokers and relieved stress using methods other than smoking (Group A), 2) those who were smokers but relieved stress using methods other than smoking (Group B), and 3) those who relieved stress by smoking (Group C). Multiple logistic regression analysis was conducted to examine the association between the stress relief method and high-risk alcohol consumption.RESULTS: The mean scores of AUDIT-K were 5.7 for Group A, 10.0 for Group B, and 11.4 for Group C (P-value < 0.001). Compared to Group A, the odds ratio and 95% confidence intervals for high-risk alcohol consumption were 3.91 (1.96–7.80) for Group B and 6.26 (2.99–13.10) for Group C after adjusting for age, sex, body mass index, household income, education levels, residential area, marital status, stress levels, hypertension, diabetes, and dyslipidemia.CONCLUSION: We found that the participants who relieved stress by smoking had a significantly higher risk of engaging in high-risk alcohol consumption.
Alcohol Drinking ; Body Mass Index ; Dyslipidemias ; Education ; Family Characteristics ; Hypertension ; Korea ; Logistic Models ; Marital Status ; Methods ; Nutrition Surveys ; Odds Ratio ; Smoke ; Smoking

BACKGROUND: Dietary patterns have a significant impact on prognosis, recurrence, and survival in patients with cancer. This study investigated dietary patterns using the Diet Quality Index-International (DQI-I) in cancer survivors compared to those in the general population without cancer.METHODS: Using the Korea National Health and Nutrition Examination Survey VI data, cancer survivors were defined as those diagnosed with cancer more than 1 year before the survey. The associations between possible predictors and the DQI-I score were examined using t-tests and analysis of variance. Adjusted multiple linear regression analysis was performed to compare the differences in DQI-I scores between cancer survivors and controls.RESULTS: In univariate analysis of 9,351 subjects (433 cancer survivors and 8,918 controls), age, sex, body mass index, marital status, education level, income, residential area, smoking status, and alcohol consumption were associated with the DQI-I score (each P-value < 0.05). After adjustment, cancer survivors showed higher DQI-I scores than the controls (67.40±8.90 vs. 65.50±9.40, P-value=0.007). In subgroup analysis, cancer survivors within 5 years after cancer diagnosis showed higher DQI-I scores than the controls (68.70±8.30 vs. 65.50±9.40, P-value=0.034), whereas those who survived beyond 5 years post-diagnosis did not show significant differences from the controls (66.70±9.20 vs. 65.50±9.40, P-value=0.063).CONCLUSION: Cancer survivors within 5 years of cancer diagnosis showed better dietary patterns than those in the general population. However, the differences were not observed after 5 years post-diagnosis. To reduce the risks of second primary cancer and mortality, targeted inventions for dietary habits are necessary for long-term survivors of cancer.
Alcohol Drinking ; Body Mass Index ; Diagnosis ; Diet ; Education ; Food Habits ; Humans ; Inventions ; Korea ; Linear Models ; Marital Status ; Mortality ; Neoplasms, Second Primary ; Nutrition Surveys ; Prognosis ; Recurrence ; Smoke ; Smoking ; Survivors

BACKGROUND: This study was conducted to examine the correlation between physical activity and estimated glomerular filtration rate (eGFR) in Korean adults.METHODS: We selected 6,546 adults aged >19 years from among the participants of the 2016 National Health and Nutrition Survey. Physical activity and sedentary time were measured using the global physical activity questionnaires developed by the World Health Organization. eGFR was calculated using the Modification of Diet in Renal Disease equation. After adjustment for covariates (age, marital status, hypertension, diabetes, myocardial infarction, drinking, smoking, total cholesterol level, body mass index, and C-reactive protein level), the correlations among physical activity, sedentary time, and eGFR were analyzed using multivariate linear regression analysis.RESULTS: No correlation was found between physical activity level and eGFR. However, sedentary time was significantly correlated with eGFR. The result showed that eGFR increased as sedentary time decreased.CONCLUSION: No correlation was found between physical activity level and eGFR in adults aged >19 years, but sedentary time was significantly correlated with eGFR. Further research is needed to clarify the relationship between physical activity and eGFR, using other physical activity indicators and changing the physical activity criteria.
Adult ; Body Mass Index ; C-Reactive Protein ; Cholesterol ; Diet ; Drinking ; Glomerular Filtration Rate ; Humans ; Hypertension ; Linear Models ; Marital Status ; Motor Activity ; Myocardial Infarction ; Nutrition Surveys ; Smoke ; Smoking ; World Health Organization

BACKGROUND: To investigate the impact of national health screening on all-cause mortality risk, aged over 45.METHODS: Data from Korean Longitudinal Study of Aging 2006–2014 were assessed. A total of 10,254 participants were included at baseline, and survival rate was assessed biennially. Using cox proportional hazards model, the effect of health screening on mortality risk was investigated. Covariates were gender, depression, education, marital status, co-habitants, house income, social engagement, economic satisfaction, private health insurance, residence location, chronic diseases, and health behaviors (smoking, alcohol intake, regular exercise).RESULTS: At baseline 2006, 54.4% of participants didn't undergo health screening. A hazard ratio (HR) for mortality risk of non-participants were 1.36 (95% confidence interval [CI], 1.21–1.53) after adjusting age and gender. Adding marital status and co-habitants to model 1 as covariates, HR was 1.34 (95% CI, 1.18–1.50) (model 2). Adding depression scores and socioeconomic vulnerabilities to model 2, HR was 1.29 s (95% CI, 1.14–1.45) (model 3). Adding chronic diseases to model 3, HR was 1.26 (95% CI, 1.14–1.48) (model 4). Finally, health behaviors have been added to model 4, HR was 1.24 (95% CI, 1.10–1.40) (model 5). In addition, the mortality risk increased as the cumulative number of missing health screenig increased accordingly.CONCLUSION: Health screening was an independent factor to reduce mortality risk. Therefore, active encouragement to participate the health screening should be implemented to reduce all-cause mortality.
Aging ; Chronic Disease ; Depression ; Education ; Health Behavior ; Insurance, Health ; Korea ; Longitudinal Studies ; Marital Status ; Mass Screening ; Mortality ; Proportional Hazards Models ; Survival Rate

BACKGROUND: Although the prevalence of e-cigarette smoking is increasing worldwide, the harmfulness of e-cigarette is not obvious. A previous study reported that e-cigarette smoking is associated with depressive symptoms in college students irrespective of tobacco smoking. However, there has been no research that has addressed this issue in the general population to date. This study was conducted to clarify the association between e-cigarette smoking and depressive symptoms in Korean adults.METHODS: The cross-sectional study collected raw data from the 7th Korea National Health and Nutrition Examination Survey (2016) and included 5,742 adults, who were ≥19 years and responded to the survey of smoking and mental health section. Multivariate logistic regression analysis was used to determine the odds ratio of depressive symptoms by e-cigarette smoking experience and included sex, age, educational level, marital status, household income level, self-rated health, activity restriction, obesity, tobacco smoking experience, alcohol drinking experience, and stress perception level as covariates. Depressive symptoms were assessed using the patient health questionnaire-9, Korean edition.RESULTS: The rate of depressive symptoms in subjects was 5.6% (n=354) in total. Individuals with depressive symptoms were more likely to have used e-cigarettes (15.6%) than those without depressive symptoms (8.6%; P=0.001). The e-cigarette experienced group showed a higher risk of depressive symptoms (odds ratio, 1.71; 95% confidence interval, 1.004–2.924) than the e-cigarette unexperienced group. The result was adjusted based on the abovementioned covariates.CONCLUSION: In Korean adults, a significant association between e-cigarette smoking experience and depressive symptoms was observed.
Adult ; Alcohol Drinking ; Cross-Sectional Studies ; Depression ; Electronic Cigarettes ; Family Characteristics ; Humans ; Korea ; Logistic Models ; Marital Status ; Mental Health ; Nutrition Surveys ; Obesity ; Odds Ratio ; Prevalence ; Smoke ; Smoking

BACKGROUND: We evaluated the effects of socioeconomic factors and psychosocial factors, both individually and combined, on all-cause mortality risk (mortality risk). METHODS: We conducted an 8-year (2006–2014) longitudinal analysis of 10,247 individuals who took part in the Korean Longitudinal Study of Aging, a nationwide survey of people aged 45–79 years. Socioeconomic vulnerability (SEV) was assessed with factors such as education, household income, commercial health insurance, and residential area. Mental health (MH) was assessed with factors such as depression, social engagement, and life satisfaction. The covariates were age, gender, marital status, cohabiting, number of chronic diseases, and health behaviors such as regular exercise, smoking, and alcohol intake. We used a Cox proportional hazard analysis to investigate the effects of SEV and MH on mortality risk and also to analyze the superimposed effects of SEV-MH on mortality risk. RESULTS: After the controlling for the covariates, high SEV and negative MH were found to be strong predictors of all-cause mortality. The highest quartile of SEV (vs. lowest) had a 1.70 times greater mortality risk (hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.24–2.33) and the highest quartile of MH (vs. lowest) had a 2.13 times greater mortality risk (HR, 2.13; 95% CI, 1.72–2.64). Being in the highest quartile for both SEV and MH (vs. lowest) increased mortality risk more than 3 times (HR, 3.11; 95% CI, 2.20–4.40). CONCLUSION: High SEV and negative MH were independently associated with increased mortality risk, and their superimposed effects were associated with an increased risk of mortality.
Aging ; Chronic Disease ; Depression ; Education ; Family Characteristics ; Health Behavior ; Insurance, Health ; Longitudinal Studies ; Marital Status ; Mental Health ; Mortality ; Psychology ; Smoke ; Smoking ; Socioeconomic Factors