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

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.

scholarly journals Association of Lifestyle Factors with Sub-optimal Health Status Among Undergraduate Medical Students: A Cross Sectional Study

Esculapio ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 20-25
Author(s):  
Zayed Rashid ◽  
Saira Tariq ◽  
Yumna Naeem ◽  
Zainab Jabeen ◽  
Mariyam Tariq ◽  
...  
Keyword(s):  
Health Status ◽  
Medical Students ◽  
High Frequency ◽  
Cross Sectional Study ◽  
Lifestyle Factors ◽  
Sectional Study ◽  
Undergraduate Medical Students ◽  
Health Measurement ◽  
Cross Sectional ◽  
Optimal Health

Sub-optimal health status is a gray state of health interceding between health and disease, causing reduction in vitality and adaptability in absence of any diagnosed illness. It is considered as a precursor to disease state whose prevention will decrease burden on healthcare system. Objectives: To assess the burden of suboptimal health status and analyze its association with lifestyle factors among undergraduate medical students. Methods: A cross sectional study conducted at King Edward Medical University, Lahore, Pakistan. Questionnaires based upon “Sub-Health Measurement Scale V1.0 (SHMS V1.0)'' and “Health Promoting Lifestyle Profile-II (HPLP-II)'' were distributed among medical students of different years and 379 responses were completed. The data was entered in SPSS version 23 using quantitative variables. Chi-square test was employed to determine association of dependent with independent variables. Results: Frequency of the Sub-optimal health status and Health among individuals of study population was found to be 78.1% (296) and 21.9% (83) respectively. A significant positive association of lifestyle factors with Sub optimal Health Status was found (p < 0.005). There was a slightly high frequency of SHS among females than males and day scholars than hostellers. The respondents having SHS had lower mean values for each HPLP-II dimension relative to those who were reported as healthy. Conclusion: There is a high frequency of SHS among medical students. Poor lifestyle is a risk factor as a significant correlation exists. It can be prevented by adopting a healthy lifestyle. Key Words: Sub optimal, SHS, Health, Lifestyle, Dimensions. How to cite: Rashid Z., Tariq S., Naeem Y., Jabeen Z., Tariq M., Kamran H.A.S. Association of lifestyle factors wih sub- optimal health status among undergraduate medical students: a cross sectinal study. Esculapio 2021;17(01):20-25

Etiologies, Clinical Manifestations, and Factors Associated with Severe Symptomatic Hyponatremia among Hospitalized Hyponatremia Patients

2020 ◽  
Vol 103 (5) ◽  
pp. 465-471
Keyword(s):  
Clinical Manifestations ◽  
Cross Sectional Study ◽  
Hospitalized Patients ◽  
Sectional Study ◽  
Close Attention ◽  
Cross Sectional ◽  
Factors Associated ◽  
Present Cross Sectional Study ◽  
Important Health ◽  
Baseline Characteristics

Background: Hyponatremia is associated with unfavorable outcomes in many cases. The mainstay of hyponatremia treatment depends on its symptoms and etiology. However, etiologies, clinical manifestations, and factors associated with severe symptomatic hyponatremia have been rarely reported. Objective: To analyze and report etiologies, clinical manifestations, and factors associated with severe symptomatic hyponatremia. Materials and Methods: In the present cross-sectional study, the authors enrolled hospitalized patients with hyponatremia who had consulted a nephrologist between October 1, 2017, and October 31, 2018. Their baseline characteristics and clinical manifestations were recorded. Etiologies were confirmed by the attending nephrology staff. Factors associated with severe symptomatic hyponatremia were evaluated using logistic regression analysis. Results: One hundred patients were included in this study. The syndrome of inappropriate antidiuresis (SIAD), hypovolemia, and hydrochlorothiazide use were the leading hyponatremia etiologies. Hyponatremia etiologies differed between patients with community-acquired hyponatremia (n=50) and those with hospital-associated hyponatremia (n=50). Patients with communityacquired hyponatremia were older, presented with a higher frequency of severe symptomatic hyponatremia, and showed lower SNa-levels. Low SNa-levels were significantly associated with severe symptomatic hyponatremia (p=0.014). Conclusion: Hyponatremia remains an important health problem. SIAD, hypovolemia, and hydrochlorothiazide use are among the leading etiologies of hyponatremia. Low SNa-levels are associated with severe symptomatic hyponatremia; thus, physicians should pay close attention to low SNa-levels in hospitalized patients. Keywords: Hyponatremia, Symptomatic Hyponatremia, Community-acquired hyponatremia, Hospital-associated hyponatremia

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