Factors associated with self-rated health status of older people with multimorbidity in Colombia: A cross-sectional study

2021 ◽  
Author(s):  
Arlet Cañón-Esquivel ◽  
Abel E. González-Vélez ◽  
Maria João Forjaz
Keyword(s):  
Health Status ◽  
Older People ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Self Rated Health

Factors associated with good self-rated health in European adolescents: a population-based cross-sectional study

2017 ◽  
Vol 62 (9) ◽  
pp. 971-979 ◽  
Author(s):  
Dario Novak ◽  
Lovro Štefan ◽  
Arunas Emeljanovas ◽  
Brigita Mieziene ◽  
Ivana Milanović ◽  
...  
Keyword(s):  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Self Rated Health

Exploring the multi-dimensional influencing factors associated with sub-health status for residents: a cross-sectional study from China

2019 ◽  
Author(s):  
Jiaojiao Ren ◽  
Xiling Yin ◽  
Guangyou Li ◽  
Jun Li ◽  
Liju Zhang ◽  
...  
Keyword(s):  
Health Status ◽  
Influencing Factors ◽  
Intervention Program ◽  
Cross Sectional Study ◽  
Health Intervention ◽  
Sectional Study ◽  
Place Of Residence ◽  
Health Measurement ◽  
Cross Sectional ◽  
Factors Associated

Abstract Background: The high incidence of sub-health and its impact on life and work have attracted wide attention. Sub-health status has been studied in China; however, there remains a lack of studies on multi-dimensional factors affecting sub-health status. This study aims to explore the sub-health status of residents, and its influencing factors in Zhuhai city of Guangdong Province of China. Methods: Data were originated from the baseline survey of Zhuhai WHO Healthy Cities Index System in 2015, which was a cross-sectional study for the influencing factors associated with sub-health status. Finally, 3,313 participants aged 16-65 years were recruited. The study used the Sub-health Measurement Scale (SHMS V1.0), and the multivariate logistic regression model was to examine their possible associations with sub-health status. Data were analyzed using the SPSS version 22.0. Results: Sub-health and non-sub-health groups accounted for 56.8% and 43.2% of the study population, respectively. There existed significant differences in terms of all items of SHMS V1.0 between the two groups. In the multivariate model, the place of residence was statistically significantly associated with sub-health, followed by having many close neighbors, relatives or friends, and happy feelings. Conclusion: There are significant differences in many items of SHMS V1.0 between sub-health and non-sub-health groups. The leading determinants of sub-health included place of residence; having close neighbors, relatives or friends; having happy feelings; and negative emotions. To develop an effective sub-health intervention program, these factors should be taken into consideration. To develop an effective sub-health intervention program, the influencing factors should be taken into consideration.

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 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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