Factors associated with the dental health status of health promotion students in the Faculty of Public Health, Universitas Indonesia: A cross-sectional study

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.

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Magnitude and factors associated with upper respiratory tract infection among under-five children in public health institutions of Aksum town, Tigray, Northern Ethiopia: an institutional based cross-sectional study

Pan African Medical Journal ◽

10.11604/pamj.2020.36.307.17849 ◽

2020 ◽

Vol 36 ◽

Author(s):

Teklay Zeru ◽

Hagos Berihu ◽

Gerezgiher Buruh ◽

Haftom Gebrehiwot

Keyword(s):

Public Health ◽

Cross Sectional Study ◽

Northern Ethiopia ◽

Upper Respiratory Tract ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Public Health Institutions ◽

Upper Respiratory ◽

Health Institutions

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Factors Associated with Infection-Control Behavior of Dental Health–Care Workers During the COVID-19 Pandemic: A Cross-Sectional Study Applying the Theory of Planned Behavior

Journal of Multidisciplinary Healthcare ◽

10.2147/jmdh.s278078 ◽

2020 ◽

Vol Volume 13 ◽

pp. 1527-1535

Author(s):

Mosa A Shubayr ◽

Mohammed Mashyakhy ◽

Dania E Al Agili ◽

Nassreen Albar ◽

Mir Faeq Quadri

Keyword(s):

Health Care ◽

Health Care Workers ◽

Dental Health ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Dental Health Care ◽

Control Behavior ◽

Care Workers

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Prevalence and Factors associated with Mental health impact of COVID-19 Pandemic in Bangladesh: A survey-based cross-sectional study

10.1101/2021.01.05.21249216 ◽

2021 ◽

Author(s):

Tanvir Abir ◽

Nazmul Ahsan Kalimullah ◽

L Osuagwu Uchechukwu ◽

Dewan Muhammad Nur-A Yazdani ◽

Taha Husain ◽

...

Keyword(s):

Mental Health ◽

Depressive Symptoms ◽

Health Status ◽

Sore Throat ◽

Stress Level ◽

Cross Sectional Study ◽

Anxiety Symptoms ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated

AbstractBackgroundFeelings of isolation, insecurity, and instability triggered by COVID-19 could have a long-term impact on the mental health status of individuals. This study examined the prevalence and factors associated with the mental health symptoms of anxiety, depression, and stress during the COVID-19 pandemic in Bangladesh.MethodsFrom 1st – 30th April 2020, we used a validated self-administered questionnaire to conduct a cross-sectional study on 10,609 participants through an online survey platform. We assessed mental health status using the Depression, Anxiety, and Stress Scale (DASS-21). The total depression, anxiety, and stress subscale scores were divided into normal, mild, moderate, severe, and multinomial logistic regression was used to examine associated factors.ResultsThe prevalence of depressive symptoms was 15%, 34%, and 15% for mild, moderate, and severe depressive symptoms, respectively. The prevalence of anxiety symptoms was 59% for severe anxiety symptoms, 14% for moderate anxiety symptoms, and 14% for mild anxiety symptoms while, the prevalence for stress levels were 16% for severe stress level, 22% for moderate stress level and 13% for mild stress level. Multivariate analyses revealed that the most consistent factors associated with mild, moderate, and severe of the three mental health subscales (depression, anxiety, and stress) were respondents who lived in Dhaka and Rangpur division, females, those who self-quarantine in the previous 7 days before the survey and those respondents who experienced chills, breathing difficulty, dizziness, and sore throat.ConclusionOur results showed that about 64%, 87%, and 61% experienced depressive symptoms, anxiety symptoms, and levels of stress, respectively. In Bangladesh, there is a need for better mental health support for females especially those that lived in Dhaka and Rangpur division and experienced chills, breathing difficulty, dizziness, and sore throat during COVID-19 and other future pandemics.

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Analysis of Factors That Influenced the Mental Health Status of Public Health Workers During the COVID-19 Epidemic Based on Bayesian Networks: A Cross-Sectional Study

Frontiers in Psychology ◽

10.3389/fpsyg.2021.755347 ◽

2021 ◽

Vol 12 ◽

Author(s):

Xin Peng ◽

Yangyang Pu ◽

Xiaoyong Jiang ◽

Qingmei Zheng ◽

Jing Gu ◽

...

Keyword(s):

Public Health ◽

Mental Health ◽

Health Status ◽

Bayesian Networks ◽

Health Workers ◽

Cross Sectional Study ◽

Anxiety And Depression ◽

Sectional Study ◽

Cross Sectional ◽

Public Health Workers

Background: Public health workers are essential to responding to the coronavirus disease 2019 (COVID-19) epidemic, but research on anxiety and stress among public health workers during the epidemic is limited. This study aimed to evaluate related factors affecting mental health among public health workers during the epidemic.Methods: Between February 19 and 25, 2020, an online, cross-sectional study was conducted among public health workers in a city in China. Mental health status was assessed using the Chinese versions of the Generalized Anxiety Disorder-7 (GAD-7) scale and Patient Health Questionnaire-9 (PHQ-9), both with a cutoff score of 5. Work-related variables, workloads and sacrifices, and personal perceptions were also assessed.Results: The prevalence of anxiety and depression were 49.2% and 45.7%, respectively, among public health workers. Three risk factors and one protective factor, namely, overcommitment (OR = 1.10∼1.20, p < 0.001), perceived troubles at work (OR = 1.14∼1.18, p < 0.001), perceived tension (OR = 1.11, p < 0.001) and the capability to persist for more than 1 month at the current work intensity (OR = 0.41∼0.42, p < 0.001) were found to be independently associated with anxiety and depression in the multivariable logistic regression analyses after propensity score matching. But the Bayesian networks analysis found that the last three factors directly affect anxiety and depression.Conclusion: Psychological responses to COVID-19 were dramatic among public health workers during the severe phase of the outbreak. To minimize the impact of the epidemic, working conditions should be improved, and easily accessible psychological support services should be implemented.

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