6 research outputs found
Additional file 1: Table S1. of The effects of short-term high-fat feeding on exercise capacity: multi-tissue transcriptome changes by RNA sequencing analysis
List of Primer sequences used for qRT-PCR. (DOC 57 kb
Self-Rated Health Status and Subjective Health Complaints Associated with Health-Promoting Lifestyles among Urban Chinese Women: A Cross-Sectional Study
<div><p>Objective</p><p>This study aimed to investigate whether self-rated health status (SRH) and subjective health complaints (SHC) of urban Chinese women are associated with their health-promoting lifestyles (HPL).</p><p>Methods</p><p>We conducted a cross-sectional study on 8142 eligible Chinese participants between 2012 and 2013. Demographic and SHC data were collected. Each subject completed the SRH questionnaire and the Chinese version of the Health-Promoting Lifestyle Profile-II (HPLP-II). Correlation and binary regression analyses were performed to examine the associations of SRH and SHC with HPL.</p><p>Results</p><p>Both SRH and HPL of urban Chinese women were moderate. The most common complaints were fatigue (1972, 24.2%), eye discomfort (1571, 19.3%), and insomnia (1542, 18.9%). Teachers, highly educated subjects and elderly women had lower SRH scores, while college students and married women had better HPL. All items of HPLP-II were positively correlated with SRH (r = 0.127-0.533, <i>P</i> = 0.000) and negatively correlated with SHC to a significant extent (odds ratio [OR] = 1.40-11.37).</p><p>Conclusions</p><p>Aspects of HPL, particularly stress management and spiritual growth, are associated with higher SRH and lower SHC ratings among urban Chinese women. Physical activity and health responsibility are additionally related to reduced fatigue and nervousness. We believe that these findings will be instrumental in encouraging researchers and urban women to adopt better health-promoting lifestyles with different priorities in their daily lives.</p></div
Sociodemographic characteristics and subjective health complaints of participants.
<p>Sociodemographic characteristics and subjective health complaints of participants.</p
Sociodemographic characteristics and subjective health complaints of participants.
<p>Sociodemographic characteristics and subjective health complaints of participants.</p
Correlation of health-promoting lifestyle profiles with subject characteristics (n = 8142).
<p>r, coefficient of correlation of health-promoting lifestyle profiles with marital status derived through point biseral correlation analysis (Single/divorced,1; Married, 2); with job position and education level through point multivariate correlation analysis (college students, 1; teachers, 2; civil servants, 3; workers, 4 and for education level: compulsory school, 1; high school graduate, 2; university/college degree, 3) with age or body mass index through Spearman’s correlation analysis.</p><p>*<i>P</i><0.05</p><p>**<i>P</i><0.01</p><p>***<i>P</i><0.001 indicate significant correlations between health-promoting lifestyle profiles and subject characteristics.</p><p>Correlation of health-promoting lifestyle profiles with subject characteristics (n = 8142).</p
Self-rated health status and health-promoting lifestyle profile-II findings (n = 8142).
<p>Self-rated health status and health-promoting lifestyle profile-II findings (n = 8142).</p