scholarly journals Work-Recreation Balance, Health-Promoting Lifestyles and Suboptimal Health Status in Southern China: A Cross-Sectional Study

2016 ◽  
Vol 13 (3) ◽  
pp. 339 ◽  
Author(s):  
Shengwei Wu ◽  
Zhengzheng Xuan ◽  
Fei Li ◽  
Wei Xiao ◽  
Xiuqiong Fu ◽  
...  
Keyword(s):  
Health Status ◽  
Southern China ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Suboptimal Health Status ◽  
Health Promoting ◽  
Suboptimal Health

scholarly journals Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunlian Xue ◽  
Zhuomin Huang ◽  
Guihao Liu ◽  
Zicheng Zhang ◽  
Yefang Feng ◽  
...  
Keyword(s):  
Health Status ◽  
Cross Sectional Study ◽  
Lifestyle Factors ◽  
Lifestyle Behaviors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Environment Factors ◽  
Suboptimal Health Status ◽  
General Physical ◽  
Suboptimal Health

Abstract Introduction Suboptimal health status (SHS), an intermediate state between chronic disease and health, is characterized by chronic fatigue, non-specific pain, headaches, dizziness, anxiety, depression, and functional system disorders with a high prevalence worldwide. Although some lifestyle factors (e.g. smoking, alcohol consumption, physical exercise) and environmental factors (e.g. air quality, noise, living conditions) have already been studied, few studies can comprehensively illustrate the associations of lifestyle and environment factors with general, physical, mental, and social SHS. Methods A cross-sectional study was conducted among 6750 urban residents aged 14 years or over in five random cities from September 2017 to September 2018 through face-to-face questionnaires. There were 5881 valid questionnaires with a response rate of 87%. A general linear model and structural equation model were developed to quantify the effects of lifestyle behaviors and environment factors on SHS. Results The detection rates of general, physical, mental, and social SHS were 66.7, 67.0, 65.5, and 70.0%, respectively. Good lifestyle behaviors and favorable environment factors positively affected SHS (P < 0.001). Lifestyle behaviors had the largest effect on physical SHS (β = − 0.418), but the least on social SHS (β = − 0.274). Environment factors had the largest effect on mental SHS (β = 0.286), but the least on physical SHS (β = 0.225). Conclusions Lifestyle behaviors and environment factors were important influencing factors of SHS. Physical SHS was more associated with lifestyle. Lifestyle and environment were similarly associated with mental and social SHS.

scholarly journals Association analysis of Suboptimal health Status: a cross-sectional study in China

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e10508
Author(s):  
Yunlian Xue ◽  
Zhuomin Huang ◽  
Guihao Liu ◽  
Yefang Feng ◽  
Mengyao Xu ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Cross Sectional Study ◽  
Urban Residents ◽  
Lifestyle Behaviors ◽  
Sectional Study ◽  
Demographic Information ◽  
Cross Sectional ◽  
Internal Factors ◽  
Suboptimal Health Status ◽  
Suboptimal Health

Background Suboptimal health status (SHS) among urban residents is commonplace in China. However, factors influencing SHS have not been thoroughly explored, especially with regard to the effects of internal factors (e.g., personality and health awareness) on SHS. Methods A cross-sectional study was conducted with a nationally representative sample of 5460 Chinese urban residents..SHS was measured using the Suboptimal Health Mesurement Scale Version 1.0. Demographic information, and information pertaining to lifestyle behaviors, environmental factors, and internal factors were abtained through a questionnaire. The associations between demographic information, lifestyle behaviors, environmental factors, internal factors and SHS were assessed using logistic regression. Results Of the 5460 participants (with a mean age of 41.56 ±  16.14 years), 2640 (48.4 %) were men. Out of 36 variables, 23 were significantly associated with SHS: age (odds ratio [OR]: 1.014), an education level of high school/junior college (OR: 1.443) , marital status (OR: 1.899), area of registered permanent residence (OR: 0.767), monthly household income (p < 0.001) , exposure to second-hand smoke (p = 0.001), alcohol drinking (OR: 1.284), bad eating habits (OR: 1.717), not sleeping before 11 p.m. every day (p = 0.002), spending time online more than five hours a day (OR: 1.526), having a good relationship with parents during one’s growth period (OR: 0.602), living with good quality air (OR:0.817), living in not crowded conditions (OR:0.636), having a harmonious neighborhood (OR:0.775), having adequate fitness facilities (OR:0.783), one’s health being affected by two-child policy (OR: 1.468) and medical policies (OR: 1.265) , high adverse quotient (OR: 0.488), many (≥3 kinds) interests and hobbies (OR: 0.617), mature and steady personality traits (OR: 0.469) , a high attention to one’s health (OR: 0.833), and effective health promotion induced by leading a leisurely lifestyle (OR: 0.466) were significantly associated with SHS. Conclusions All these variables were included demographic information, lifestyle behaviors, environmental factors and internal factors. Our study supports the benefits of controlling both internal and external factors in preventing suboptimal health.

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 Psychological symptoms in Chinese nurses may be associated with predisposition to chronic disease: a cross-sectional study of suboptimal health status

2020 ◽  
Vol 11 (4) ◽  
pp. 551-563
Author(s):  
Jinxiu Zhu ◽  
Wenjuan Ying ◽  
Li Zhang ◽  
Gangyi Peng ◽  
Weiju Chen ◽  
...  
Keyword(s):  
Health Status ◽  
Psychological Symptoms ◽  
Cross Sectional Study ◽  
Depression And Anxiety ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Suboptimal Health Status ◽  
The Relationship ◽  
And Personalized Medicine ◽  
Suboptimal Health

Abstract Background Suboptimal health status (SHS) is a reversible state between ideal health and illness and it can be effectively reversed by risk prediction, disease prevention, and personalized medicine under the global background of predictive, preventive, and personalized medicine (PPPM) concepts. More and more Chinese nurses have been troubled by psychological symptoms (PS). The correlation between PS and SHS is unclear in nurses. The purpose of current study is to investigate the prevalence of SHS and PS in Chinese nurses and the relationship between SHS and PS along with predisposing factors as well as to discuss the feasibility of improving health status and preventing diseases according to PPPM concepts in Chinese nurses. Methods A cross-sectional study was conducted with the cluster sampling method among 9793 registered nurses in Foshan city, China. SHS was evaluated with the Suboptimal Health Status Questionnaire-25 (SHSQ-25). Meanwhile, the PS of depression and anxiety were evaluated with Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) self-assessment questionnaires. The relationship between PS and SHS in Chinese nurses was subsequently analyzed. Results Among the 9793 participants, 6107 nurses were included in the final analysis. The prevalence of SHS in the participants was 74.21% (4532/6107) while the symptoms of depression and anxiety were 47.62% (2908/6107) and 24.59% (1502/6107) respectively. The prevalence of SHS in the participants with depression and anxiety was significantly higher than those without the symptoms of depression (83.3% vs 16.7%, P < 0.001) and anxiety (94.2% vs 5.8%, P < 0.0001). The ratio of exercise habit was significantly lower than that of non-exercise habit (68.8% vs 78.4%, P < 0.001) in SHS group. Conclusions There is a high prevalence of SHS and PS in Chinese nurses. PS in Chinese nurses are associated with SHS. Physical exercise is a protective factor for SHS and PS so that the exercise should be strongly recommended as a valuable preventive measure well in the agreement with PPPM philosophy. Along with SDS and SAS, SHSQ-25 should also be highly recommended and applied as a novel predictive/preventive tool for the health measures from the perspectives of PPPM in view of susceptible population and individual screening, the predisposition to chronic disease preventing, personalization of intervention, and the ideal health state restoring.

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