scholarly journals Prevalence and Associated Lifestyle Factors of Suboptimal Health Status among Chinese Children Using a Multi-Level Model

2020 ◽  
Vol 17 (5) ◽  
pp. 1497
Author(s):  
Tao Xu ◽  
Junting Liu ◽  
Guangjin Zhu ◽  
Shaomei Han
Keyword(s):  
Health Status ◽  
Lifestyle Factors ◽  
Chinese Children ◽  
Cluster Effect ◽  
Poor Sleep ◽  
Lifestyle Behaviors ◽  
Confounding Effect ◽  
Suboptimal Health Status ◽  
Multi Level ◽  
Suboptimal Health

Chinese children are facing health challenges brought by chronic non-communicable diseases, such as physical problems and psychological related health problems. Childhood represents a critical life period when the long-term dietary and lifestyle behaviors are formed. It is necessary to survey the prevalence of suboptimal health status (SHS) among Chinese children and to research the relationship between SHS and lifestyles. This study aimed to examine the prevalence of SHS among Chinese children using a large-scale population survey sample covering school students and nonstudent children, and clarified the relationships between SHS and lifestyle factors using multi-level models controlled for the cluster effect of location and the confounding effect of demographics. Multi-level generalized estimating equation models were used to examine the relationships between SHS and lifestyle factors. Prevalence ratios (PR) and 95% confidence intervals (CI) were used to assess the strength of these relationships. Of the 29,560 children, 14,393 reported one or more SHS symptoms, giving a SHS prevalence of 48.69%. The prevalence of SHS for boys (46.07%) was lower than that for girls (51.05%). After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, lifestyle factors associated with SHS were: less sleep duration, current smokers (PR = 1.085, 95%CI: 1.027–1.147), current drinkers (PR = 1.072, 95%CI: 1.016–1.131), children’ parents suffering from chronic diseases (PR = 1.294, 95%CI: 1.179–1.421), poor sleep quality (PR = 1.470, 95%CI: 1.394–1.550), stress (PR = 1.545, 95%CI: 1.398–1.707), negative life events (PR = 1.237, 95%CI: 1.088–1.406), hypertension (PR = 1.046, 95%CI: 1.009–1.084), unhealthy diet choice (PR = 1.091, 95%CI: 1.051–1.133) and irregular meal time (PR = 1.210, 95%CI: 1.163–1.259). Children who could exercise regularly (PR = 0.897, 95%CI: 0.868–0.927) and those with regular medical checkup (PR = 0.891, 95%CI: 0.854–0.929) were associated with lower prevalence probability of SHS. SHS has become a serious public health challenge for Chinese children. Unhealthy lifestyles were closely associated with SHS. Implementation of preventative strategies are needed to reduce the potential SHS burden associated with these widespread high-risk unhealthy lifestyle behaviors.

scholarly journals Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model

2020 ◽  
Vol 17 (3) ◽  
pp. 763 ◽  
Author(s):  
Tao Xu ◽  
Guangjin Zhu ◽  
Shaomei Han
Keyword(s):  
Health Status ◽  
Estimating Equation ◽  
Lifestyle Factors ◽  
Generalized Estimating Equation ◽  
Poor Sleep ◽  
Chinese Adults ◽  
Suboptimal Health Status ◽  
Multi Level ◽  
Suboptimal Health ◽  
Generalized Estimating

This study examined the prevalence of suboptimal health among Chinese adults based on a large-scale national survey and clarified the relationship between suboptimal health and lifestyle factors. We used multi-level generalized estimating equation models to examine the relationships between suboptimal health and lifestyle factors. Of the 48,978 respondents, 34,021 reported one or more suboptimal health symptoms, giving a suboptimal health status prevalence of 69.46%. After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, factors associated with suboptimal health were: current smoking (odds ratio (OR) = 1.083, 95% confidence interval (CI): 1.055–1.111), drinking alcohol (OR = 1.075, 95% CI: 1.025–1.127), family history of disease (OR = 1.203, 95% CI: 1.055–1.111), sleeping <6 h per day (OR = 1.235, 95% CI: 1.152–1.256), poor sleep quality (OR = 1.594, 95% CI: 1.515–1.676), stress (OR = 1.588, 95% CI: 1.496–1.686), negative life events (OR = 1.114, 95% CI: 1.045–1.187), unhealthy diet choices (OR = 1.093, 95% CI: 1.033–1.156), and not regularly having meals at fixed hours (OR = 1.231, 95% CI: 1.105–1.372). Respondents who exercised regularly had lower odds of having suboptimal health status (OR = 0.913, 95% CI: 0.849–0.983). Suboptimal health has become a serious public health challenge in China. The health status of the population could be effectively improved by improving lifestyle behaviors.

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.

Utilization of N-glycosylation profiles as risk stratification biomarkers for suboptimal health status and metabolic syndrome in a Ghanaian population

2019 ◽  
Vol 13 (15) ◽  
pp. 1273-1287 ◽  
Author(s):  
Eric Adua ◽  
Elham Memarian ◽  
Alyce Russell ◽  
Irena Trbojević-Akmačić ◽  
Ivan Gudelj ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Health Status ◽  
Logistic Regression Model ◽  
Area Under The Curve ◽  
Information Criterion ◽  
Ultra Performance Liquid Chromatography ◽  
Clinical Assessments ◽  
Suboptimal Health Status ◽  
Case Status ◽  
Suboptimal Health

Aim: The study sought to apply N-glycosylation profiles to understand the interplay between suboptimal health status (SHS) and metabolic syndrome (MetS). Materials & methods: In this study, 262 Ghanaians were recruited from May to July 2016. After completing a health survey, plasma samples were collected for clinical assessments while ultra performance liquid chromatography was used to measure plasma N-glycans. Results: Four glycan peaks were found to predict case status (MetS and SHS) using a step-wise Akaike’s information criterion logistic regression model selection. This model yielded an area under the curve of MetS: 83.1% (95% CI: 78.0–88.1%) and SHS: 67.1% (60.6–73.7%). Conclusion: Our results show that SHS is a significant, albeit modest, risk factor for MetS and N-glycan complexity was associated with MetS.

scholarly journals Correlation between vascular endothelial function parameters with indicators of suboptimal health status and the factors of cardiovascular risk

2016 ◽  
Vol 7 (3-4) ◽  
pp. 86-90
Author(s):  
E. Yu Marutina ◽  
V. I Kupaev ◽  
P. A Lebedev ◽  
O. Yu Borisov
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Health Status ◽  
Endothelial Function ◽  
Screening Methods ◽  
Vascular Endothelial ◽  
Vascular Endothelial Function ◽  
Work Activity ◽  
Suboptimal Health Status ◽  
Suboptimal Health

The problem of prevention of chronic non-communicable diseases continues to be relevant. It is a promising non-invasive integration of new screening methods to assess the patient's health system. The goal was to establish the relationship of vascular endothelial function parameters with indicators of suboptimal health status and the factors of cardiovascular risk. Materials and methods. A total of 327 residents of Samara, who had no history of disease and did not receive treatment in the last 3 months. We used a questionnaire diagnostic screening suboptimal health status SHSQ-25, the risk factors of cardiovascular diseases, endothelin-1, human blood index of endothelial function was determined by computer photopletismography. Results and discussion. Suboptimal health status is associated with the prevalence and severity of cardiovascular risk factors, smoking, overweight, total cholesterol, glucose, blood endothelin, vascular endothelium reactivity, indicating that their dominant influence on the quality of life in a population of healthy individuals. Vascular reactivity non-invasively evaluated in terms of endothelial function in the sample with ischaemia of the upper limb by computer photopletismography reflects systemic vascular endothelial function as a negative associated with endothelin blood and the main factors of cardiovascular risk: age, male gender, body mass index, the nature of work activity, blood pressure value.

scholarly journals Suboptimal Health Status of High School Students in Guangzhou, Shanxi, and Tibet, China: A Cross-Sectional Study

2020 ◽  
Author(s):  
Gehendra Mahara ◽  
Jiazhi Liang ◽  
Zhirong Zhang ◽  
Qi Ge ◽  
Jinxin Zhang
Keyword(s):  
Risk Factors ◽  
High School ◽  
High School Students ◽  
Health Status ◽  
Protective Factors ◽  
Associated Factors ◽  
Control Measures ◽  
School Students ◽  
Suboptimal Health Status ◽  
Suboptimal Health

Suboptimal health status (SHS) is a state between health and disease, has several associated factors, although, its underlying mechanism is still unclear. This study aimed to investigate the status of SHS and its associated factors of high school students in three areas of China (Shanxi, Guangzhou, and Tibet). A multidimensional sub-health questionnaire of adolescent (MSQA) is used to evaluate SHS. Among 1461 respondents, females proportion 56.47% was higher than males 43.53% where SHS was higher in Shanxi followed by Tibet and then Guangzhou. The rural area, grade, lack of sleep, home visit in a week, lack of exercise, a heavy burden of study, smoking, drinking, and fewer friends were the risk factors of SHS, while, families living status, seeking help and extroversion were the protective factors. SHS is significantly associated with different influencing factors. For comprehensive prevention and control measures, reduce the risk factors and enhance the protective factors.

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