scholarly journals Do socio-cultural factors influence college students’ self-rated health status and health-promoting lifestyles? A cross-sectional multicenter study in Dalian, China

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Sainyugu Lolokote ◽  
Tesfaldet Habtemariam Hidru ◽  
Xiaofeng Li
Keyword(s):  
College Students ◽  
Health Status ◽  
Multicenter Study ◽  
Cultural Factors ◽  
Cross Sectional ◽  
Self Rated Health ◽  
Health Promoting

scholarly journals The effects of socio-cultural factors on medical college students' self-rated health status and health-promoting lifestyles in Eritrea: A cross-sectional study

2020 ◽  
Author(s):  
Isayas Afewerki Abraham ◽  
Xufu Zhang ◽  
Zewdi Amanuel Dagnew ◽  
Eyasu H. Tesfamariam ◽  
Ghirmay Ghebreigziabher Beraki ◽  
...  
Keyword(s):  
College Students ◽  
Health Status ◽  
Cross Sectional Study ◽  
Cultural Factors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Medical College ◽  
Self Rated Health ◽  
Optimal Health ◽  
Health Promoting

Abstract Background: Sub-optimal health status (SHS) and unhealthy lifestyle among college students have become a major focus for research on public health worldwide. Hence, this study was designed to assess the effects of socio-cultural factors on medical college students' self-rated health status (SRH) and health-promoting lifestyles (HPL) in Eritrea.Methods: A descriptive cross-sectional study was conducted at Orotta School of Medicine (OSM), using a self-administered questionnaire. Data was collected from all medical students who had fulfilled the inclusion criteria using Sub-Optimal Health Measurement Scale (SHMS V1.0) and Health-Promoting Lifestyle Profile-II (HPLP-II) scale questionnaires. Independent samples t-test, ANOVA, Chi-square test, Pearson’s correlation coefficient and Binary multivariate logistic regression were performed. Data analysis was undertaken using SPSS version 22.Results: The overall SRH was significantly higher among college students with BMI of 25 to 29.9 (M=88.23, SD=6.28) as compared to <18.5 (p=0.027) and 18.5 to 24.9 (p=0.027). Moreover, physiological subscale of SRH was significantly related to gender (M males= 88.96 Vs M females= 85.41, p=0.001) and monthly stipend (M income = 89.52 Vs M no-income = 87.28, p=0.040). On the other hand, physical activity of HPL was found to vary by gender (M males= 2.12 Vs M females=1.87, p=0.005) and alcohol consumption (M drinkers= 2.22 Vs M non-drinkers = 1.99, p=0.016). Nutrition differences of HPL were observed in BMI of 25 to 29.9 (M =2.40, p=0.028), internship students (M=2.15, p=0.027), and monthly income (M=2.11, p=0.029). The overall SRH was significantly correlated with the overall HPL (r=0.493, p<0.001). In-addition, students who had good and excellent HPL had self-rated themselves as almost five times (AOR=4.97, 95% CI: 1.28, 19.32), and were 3.73 times (AOR=3.73, 95% CI: 1.09, 12.80) healthier than those who had poor HPL, respectively.Conclusions: Based on our study, gender, BMI and monthly stipend play a major role in the SRH whereas gender, alcohol consumption, BMI, study year and monthly stipend play a major role in the HPL. Moreover, there was a significant correlation between SRH and HPL in this study. Therefore, our findings provide evidence that support the role of socio-cultural influences’ on SRH and HPL of medical students.

scholarly journals The Effects of Socio-cultural Factors on Medical College Students' Self-Rated Health Status and Health-Promoting Lifestyles in Eritrea: A Cross-sectional Study

2021 ◽  
Vol 7 (1) ◽  
pp. 36
Author(s):  
Isayas Afewerki Abraham ◽  
Zewdi Amanuel Dagnew ◽  
Eyasu Habte Tesfamariam ◽  
Ghirmay Ghebreigziabher Beraki ◽  
Oliver Okoth Achila ◽  
...  
Keyword(s):  
College Students ◽  
Health Status ◽  
Cross Sectional Study ◽  
Cultural Factors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Medical College ◽  
Self Rated Health ◽  
Health Promoting

scholarly journals Working conditions and health status of 6,317 front line public health workers across five provinces in China during the COVID-19 epidemic: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jinghua Li ◽  
Jingdong Xu ◽  
Huan Zhou ◽  
Hua You ◽  
Xiaohui Wang ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Health Status ◽  
Health Outcomes ◽  
Working Conditions ◽  
Health Workers ◽  
Front Line ◽  
Cross Sectional ◽  
Self Rated Health ◽  
Public Health Workers

ABSTRACT Background Public health workers at the Chinese Centre for Disease Control and Prevention (China CDC) and primary health care institutes (PHIs) were among the main workers who implemented prevention, control, and containment measures. However, their efforts and health status have not been well documented. We aimed to investigate the working conditions and health status of front line public health workers in China during the COVID-19 epidemic. Methods Between 18 February and 1 March 2020, we conducted an online cross-sectional survey of 2,313 CDC workers and 4,004 PHI workers in five provinces across China experiencing different scales of COVID-19 epidemic. We surveyed all participants about their work conditions, roles, burdens, perceptions, mental health, and self-rated health using a self-constructed questionnaire and standardised measurements (i.e., Patient Health Questionnaire and General Anxiety Disorder scale). To examine the independent associations between working conditions and health outcomes, we used multivariate regression models controlling for potential confounders. Results The prevalence of depression, anxiety, and poor self-rated health was 21.3, 19.0, and 9.8%, respectively, among public health workers (27.1, 20.6, and 15.0% among CDC workers and 17.5, 17.9, and 6.8% among PHI workers). The majority (71.6%) made immense efforts in both field and non-field work. Nearly 20.0% have worked all night for more than 3 days, and 45.3% had worked throughout the Chinese New Year holiday. Three risk factors and two protective factors were found to be independently associated with all three health outcomes in our final multivariate models: working all night for >3 days (multivariate odds ratio [ORm]=1.67~1.75, p<0.001), concerns about infection at work (ORm=1.46~1.89, p<0.001), perceived troubles at work (ORm=1.10~1.28, p<0.001), initiating COVID-19 prevention work after January 23 (ORm=0.78~0.82, p=0.002~0.008), and ability to persist for > 1 month at the current work intensity (ORm=0.44~0.55, p<0.001). Conclusions Chinese public health workers made immense efforts and personal sacrifices to control the COVID-19 epidemic and faced the risk of mental health problems. Efforts are needed to improve the working conditions and health status of public health workers and thus maintain their morale and effectiveness during the fight against COVID-19.

scholarly journals Presenteeism among workers: health-related factors, work-related factors and health literacy

2020 ◽  
Vol 70 (8) ◽  
pp. 564-569
Author(s):  
E Goto ◽  
H Ishikawa ◽  
T Okuhara ◽  
H Ueno ◽  
H Okada ◽  
...  
Keyword(s):  
Health Status ◽  
Health Literacy ◽  
Job Demands ◽  
Job Control ◽  
Related Factors ◽  
Cross Sectional ◽  
Workplace Support ◽  
Work Related ◽  
Self Rated Health ◽  
Health Related

Abstract Background Presenteeism is an important factor in workers’ health. However, few studies have examined how variables such as socio-economic status, health status, workplace status and health literacy correlate with and affect presenteeism. Aims To assess the correlates of presenteeism with a focus on health-related factors, work-related factors and health literacy. Methods We conducted a cross-sectional study of 2914 Japanese workers from one company. We used a self-administered questionnaire to assess socio-demographic characteristics, health status, work environment, presenteeism and health literacy. Results Forty-one per cent of participants were under 40 years of age and 70% were male. We found that 59% of the participants were at high risk of presenteeism. Presenteeism was associated with sex, age, household income, marital status, health-related factors (i.e. self-rated health status, dietary choices, exercise habits), work-related factors (i.e. workplace support, job demands, job control) and health literacy. Logistic regression analyses indicated that presenteeism was associated with self-rated health status, overtime hours, workplace support, job demands, job control and health literacy after adjusting for sex, age and income. Conclusions Health-related factors, work-related factors and health literacy are all associated with presenteeism. Improving the workplace environment, especially factors such as overtime working hours, workplace support, job demands and job control, and increasing health literacy may reduce presenteeism among general office workers.

scholarly journals What Are the Risk Factors of Negative Patient Experience? A Cross-Sectional Study in Chinese Public Hospitals

2019 ◽  
Vol 56 ◽  
pp. 004695801984786 ◽  
Author(s):  
Jinzhu Xie ◽  
Yinhuan Hu ◽  
Chuntao Lu ◽  
Qiang Fu ◽  
Jason T. Carbone ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Status ◽  
Patient Experience ◽  
Cross Sectional Study ◽  
Public Hospitals ◽  
Sectional Study ◽  
Cross Sectional ◽  
Negative Patient ◽  
Self Rated Health

Hospitals are struggling to involve patients and learn from their experience. The risk factor of patient experience is increasingly recognized as a critical component in improving patient experience. Our study explored risk factors of negative patient experience in order to improve the health-service quality of public hospitals. We conducted a cross-sectional study in Hubei province, China. A total of 583 respondents were surveyed by the Outpatient Experience Questionnaire with good validity and reliability in July 2015. T-tests were conducted to compare the experience scores among different outpatient groups. Multiple linear regression was performed to determine the significant factors that influenced the outpatient experience. Outpatients between 18 and 44 years old had the lowest experience scores (65.89 ± 0.79), whereas outpatients completely paying out-of-pocket had the lowest experience scores (64.68 ± 0.81) among all participants. Outpatients with poor self-rated health status had the lowest experience scores (66.14 ± 1.61) among different self-rated health status groups. While age, type of payment, and self-rated health status were significantly risk factors that influenced outpatient experience in the multiple linear regression. Thus, health-care providers should pay more attention to outpatients who are young (age <45), completely out-of-pocket and poor health status, and provide precision health care to improve outpatient experience.

scholarly journals Effects of Psychological Capital, Coping Style and Emotional Intelligence on Self-Rated Health Status of College Students in China During COVID-19 Pandemic

2021 ◽  
Author(s):  
Xiangzhi Jing ◽  
Hongling Meng ◽  
Yuping Li ◽  
Lingeng Lu ◽  
yongcheng yao
Keyword(s):  
College Students ◽  
Emotional Intelligence ◽  
Health Status ◽  
Coping Style ◽  
Online Survey ◽  
Psychological Capital ◽  
Psychological State ◽  
Measurement Scale ◽  
Health Measurement ◽  
Self Rated Health

Abstract Objective To explore the relationship between the self-reported health status, emotional coping style, emotional intelligence and positive psychological state of college students during the COVID-19 pandemic. Methods The questionnaires of Self-rated Health Measurement Scale (SRHMS), Emotional Intelligence Scale (EIS), Psychological Capital Questionnaire (PCQ), Simplified Coping Style Questionnaire (SCSQ)were used for online survey. The study included 367 undergraduates. Results Male undergraduates had significantly higher psychological capital scores than female (P < 0.05), and those without siblings had significantly higher emotional intelligence and psychological capital scores than those with (P < 0.05). The students from urban had significantly higher emotional intelligence scores than those from rural (P < 0.05). Students who spent less than 3 hours online per day had significantly higher self-rated health scores than those spending 6 hours online per day (P < 0.05), and those who spent 3–6 hours online per day was significantly higher psychological capital scores than those who spent more than 6 hours online per day (P < 0.05). The interaction between emotional intelligence, psychological capital and coping styles was statistically significant (β=-0.045,P < 0.05) in health status with coping style ranking the top (β = 21.277). Conclusion: Sex, having siblings or not, birth place and online time per day affected health status, emotional intelligence, and psychological capital in undergraduate students. Coping style is a main positive factor that affects health, which was modified by emotional intelligence and psychological capital. In this pandemic emergency, positive coping style with optimistic emotional perception and understanding is an important measure against the pandemic-induced health problem.

scholarly journals Mental health and related influencing factors among rural elderly in 14 poverty state counties of Chongqing, Southwest China: a cross-sectional study

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Yin Yang ◽  
Hui Deng ◽  
Qingqing Yang ◽  
Xianbin Ding ◽  
Deqiang Mao ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factor ◽  
Health Status ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Rural Elderly ◽  
Mental Health Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Self Rated Health

Abstract Background China has the largest elderly population in the world; little attention has been paid to the mental health of elderly in areas of extreme poverty. This is the first study to investigate the mental health of the rural elderly in poverty state counties in Chongqing and was part of the Chongqing 2018 health literacy promotion project. Methods In 2019, a cross-sectional study was conducted to investigate the mental health status of the rural elderly in fourteen poverty state counties of Chongqing, in which a total of 1400 elderly aged ≥ 65 years were interviewed, where mental health status was measured by the ten-item Kessler10 (K10) scale. Ordered multivariate logistic regression was performed to evaluate the influencing factors related to mental health of the elderly in these areas. Results The average score of K10 in 14 poverty state counties was 17.40 ± 6.31, 47.6% was labeled as good, 30.2% was moderate, 17.0% was poor, and lastly 5.1% was bad, and the mental health status of the elderly in the northeastern wing of Chongqing was better than the one in the southeastern wing of Chongqing. A worse self-rated health was the risk factor for mental health both in the northeastern and southeastern wings of Chongqing (all P < 0.001). Lower education level (OR (95% CI) = 1.45 (1.12–1.87), P = 0.004) was a risk factor in the northeastern wing, whereas older age (OR (95% CI) = 1.33 (1.13–1.56), P = 0.001) was a risk factors in the southeastern wing. Conclusions The results showed that mental health of the elderly in poverty state counties was poor, especially in the southeastern wing of Chongqing. Particular attention needs to be paid to the males who were less educated, older, and single; female with lower annual per capital income; and especially the elderly with poor self-rated health.

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