scholarly journals Associations between breakfast eating habits and health-promoting lifestyle, suboptimal health status in Southern China: a population based, cross sectional study

2014 ◽  
Vol 12 (1) ◽  
Author(s):  
Jieyu Chen ◽  
Jingru Cheng ◽  
Yanyan Liu ◽  
Yang Tang ◽  
Xiaomin Sun ◽  
...  
Keyword(s):  
Eating Habits ◽  
Southern China ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Suboptimal Health Status ◽  
Breakfast Eating ◽  
Health Promoting ◽  
Suboptimal Health

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 Psychometric Properties of The Sub-Health Measurement Scale V1.0 for Assessing Suboptimal Health Status of Midwives: A Multi-Centre Cross-Sectional Study

2020 ◽  
Author(s):  
Xiao-Qian Chen ◽  
Xiu-Min Jiang ◽  
Qing-Xiang Zheng ◽  
Xin-Xin Huang ◽  
Gui-Hua Liu ◽  
...  
Keyword(s):  
Concurrent Validity ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Measurement Scale ◽  
Sectional Study ◽  
Health Measurement ◽  
Cross Sectional ◽  
Suboptimal Health Status ◽  
Test Retest Reliability ◽  
Suboptimal Health

Abstract Purpose Midwives with high work stress are prone to suboptimal health status (SHS). However, there is a lack of unified measurement standard for SHS. Sub-Health Measurement Scale V1.0 (SHMS V1.0) is a multidimensional inventory that has been proved to have adequate psychometric properties in other populations. Therefore, this study aimed to evaluate validity and reliability of SHMS V1.0 in midwives.Methods In this cross-sectional study, 842 midwives from 46 midwifery institutions completed the SHMS V1.0. Internal consistency and test-retest reliability of SHMS V1.0 were assessed with Cronbach's alpha and Pearson correlation coefficient. Project analysis and confirmatory factor analysis (CFA) were performed to assess construct validity. Concurrent validity of SHMS V1.0 was evaluated by Pearson correlation analysis with the 14-item Fatigue Scale (FS-14).Results The total Cronbach's alpha and test-retest reliability coefficient of SHMS V1.0 was 0.908 and 0.804, respectively. The correlation coefficients between each item and its corresponding dimension, and those between each dimension and its corresponding subscale were all greater than 0.4. The CFA supported the structure of SHMS V1.0 with strong factor loadings and excellent fit indexes in the first-order and modified second-order factor model. The concurrent validity for SHMS V1.0 showed large correlation with FS-14, but social subscale showed medium correlations with total fatigue, physical fatigue and mental fatigue. Conclusions The SHMS V1.0 is a valid and reliable instrument for measuring SHS for midwives. Given the severity and harmfulness of SHS in midwives, SHMS V1.0 is recommended as an important tool for clinical practice and research.

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.

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