scholarly journals Mental health status and its predictors among call center employees: A cross-sectional study

2017 ◽  
Vol 19 (2) ◽  
pp. 228-236 ◽  
Author(s):  
Hyunjin Oh ◽  
Heyeon Park ◽  
Sunjoo Boo
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Call Center ◽  
Cross Sectional Study ◽  
Mental Health Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Call Center Employees

scholarly journals Correction to: Mental health status among family members of health care workers in Ningbo, China, during the coronavirus disease 2019 (COVID-19) outbreak: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yuchen Ying ◽  
Liemin Ruan ◽  
Fanqian Kong ◽  
Binbin Zhu ◽  
Yunxin Ji ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Status ◽  
Health Care Workers ◽  
Family Members ◽  
Cross Sectional Study ◽  
Mental Health Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Care Workers

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Parental mental health during COVID-19 pandemic in Tamil Nadu: a cross sectional study

2021 ◽  
Vol 8 (12) ◽  
pp. 6047
Author(s):  
Hari Krishnan R. ◽  
Hanitha Rajasekar ◽  
Suganthi S.
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Mental Health Problems ◽  
Cross Sectional Study ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Online Classes ◽  
Sectional Study ◽  
Parental Mental Health ◽  
Cross Sectional

Background: The whole world became still, when a major pandemic COVID-19 started its toll across all developed and developing countries. It has caused both physical and emotional disturbances among all age groups. This study was done to evaluate the parental mental health in COVID-19 as this group is not given much importance. The major mental health problems associated with COVID-19 among parents are due to online classes which has caused depression, anxiety and stress.Methods: A cross-sectional study done among all parents, especially those of whose children are attending online class were included in the study. Convenient sampling was used to select 204 participants, GHQ 12 questionnaire was used for data collection on mental health status among parents.Results: Overall prevalence of parents with better mental health <19 was 108 (52.9%) and prevalence of parents with poor mental health >19 was 96 (47.1%).Conclusions: This study concluded that parental age of 31 to 40 years who are employed and have children studying in primary school to have a poor mental health status. The most important contributing factors for poor parental health were online classes for children and work place stress.

scholarly journals Self-assessment of the mental health status in older adults in Poland: a cross-sectional study

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Mateusz Cybulski ◽  
Lukasz Cybulski ◽  
Elzbieta Krajewska-Kulak ◽  
Urszula Cwalina
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Status ◽  
Cross Sectional Study ◽  
Mental Health Status ◽  
Sectional Study ◽  
Self Assessment ◽  
Cross Sectional

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.

Sign in / Sign up

Export Citation Format

Share Document