ABSTRACT
<p><b>OBJECTIVE</b>To investigate associations between health-promoting lifestyle and suboptimal health status (SHS) in the population of Guangdong province.</p><p><b>METHODS</b>A cross-sectional survey was conducted in a clustered sample of 24 159 individuals aged 12-80 years from 2012 to 2013. Health-promoting lifestyle was assessed via the Health-Promoting Lifestyle Profile (HPLP-II), and SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0).</p><p><b>RESULTS</b>Of the 24159 participants, subjects with SHS (46.0%) and disease status (35.2%) accounted for a much higher percentage than healthy subjects (18.8%). Regression analyses revealed a significant association between health status and healthy lifestyle (P<0.001). Unhealthy lifestyle was an important risk factor for SHS and disease, especially the former. Compared with the participants with a healthy lifestyle (minimal exposure), after demographic adjustment, subjects with a 'poor' lifestyle (maximal exposure) were at a 43 times higher risk of developing SHS (OR: 42.825, 95% CI: 30.567-59.997), those with a general lifestyle were at a 21 times higher risk of SHS (OR: 21.072, 95%CI: 17.258-25.729), and those with a suboptimal lifestyle had a 4 times higher risk (OR: 4.085, 95%CI: 3.352-4.979). In the general population, the major risk factors for SHS included poor stress management, poor self-actualization, inactive exercise and poor interpersonal relationship.</p><p><b>CONCLUSION</b>s Unhealthy lifestyles are significantly related to an increased risk of SHS. Intervention of unhealthy lifestyles, controlling the risk factors of SHS, and rigorous management of the time window of SHS are necessary to promote the heath status.</p>
Subject(s)
Adolescent , Adult , Aged , Aged, 80 and over , Child , Humans , Middle Aged , Young Adult , Cross-Sectional Studies , Health Promotion , Health Status , Life Style , Regression Analysis , Risk FactorsABSTRACT
<p><b>OBJECTIVE</b>To determine evaluate the effect of health-promoting lifestyle on the outcomes of suboptimal health status (SHS).</p><p><b>METHODS</b>A prospective population cohort was conducted by consecutively enrolling 5676 college students who took routine health examination from March to May 2013. The participants were assessed for baseline health status and lifestyle and 2972 participants with SHS were followed up for 1.5 years. Exposure was defined as an unhealthy lifestyle. The health-promoting lifestyle was assessed via the Health-promoting Lifestyle Profile (HPLP-II). SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0).</p><p><b>RESULTS</b>Among the 2972 students with SHS, 422 showed recovery of the healthy status at 1.5 year follow-up, 579 showed progression into disease conditions, and 1971 remained in SHS. The participants with recovered health status presented with significant increase of SHMS V1.0 scores by 8.75∓6.95 points compared to the baseline assessment (t=-2.14, P=0.000) in physiological, psychological and social dimensions; they also showed a marked improvement of HPLP-II scores by 14.73 points in 6 dimensions (t=-15.34, P=0.000). Multivariable regression analyses with adjusted demographic variables revealed a significant association between health status and health-promoting lifestyle (P<0.05). Compared with a healthy lifestyle (minimal exposure), a 'poor' lifestyle (the highest level of exposure) was associated with a 30 times higher risk of developing SHS (OR: 30.598, 95% CI: 3.928-238.331), while a 'moderate' lifestyle (a relatively high-level exposure) had a 24 times higher risk of SHS (OR: 23.988, 95%CI: 14.695-39.158), and a suboptimal lifestyle had a nearly 4 times higher risk of SHS (OR: 4.306, 95%CI: 2.767-6.702).</p><p><b>CONCLUSION</b>s SHS may evolve into either a healthy or a disease condition. A unhealthy lifestyle is the important risk factor contributing to the progression of SHS into a disease condition, suggesting the importance of intervention of unhealthy lifestyles in promoting good health.</p>
Subject(s)
Humans , Health Behavior , Health Status , Healthy Lifestyle , Prospective Studies , Regression Analysis , Risk Factors , StudentsABSTRACT
<p><b>OBJECTIVE</b>To detect the expressions of CCR5 and CCR7 on dendritic cells (DCs) in patients with rheumatoid arthritis (RA) in different phases of disease activity, and explore the relationship between the disease activity and the expression of chemokine receptors.</p><p><b>METHODS</b>Twenty-eight patients with low, moderate and high disease activity and 10 normal control subjects were enrolled in this study. Peripheral blood was obtained from the subjects and the DCs were isolated. The expression of CCR5 and CCR7 on DCs were detected by flow cytometry, and the serum levels of rheumatoid factor (RF), C-reactive protein (CRP) and anti-CCP antibody (ACPA) were assessed. The correlation of the expressions of CCR5 and CCR7 to serum RF, CRP, and ACPA levels of the RA patients were analyzed.</p><p><b>RESULTS</b>Compared to the normal control group, RA patients showed enhanced expressions of CCR5 and CCR7 on the DCs. A linear correlation was noted between CCR5 and CCR7 expressions on the DCs and the serum levels of RF and CRP, but not ACPA, in the RA patients.</p><p><b>CONCLUSION</b>The expressions of CCR5 and CCR7 on the DCs may correlate to the disease activity of RA, and may serve as valuable indices in monitoring the disease activity and the efficacy of the treatment.</p>
Subject(s)
Adult , Female , Humans , Male , Middle Aged , Arthritis, Rheumatoid , Blood , Allergy and Immunology , Dendritic Cells , Metabolism , Receptors, CCR5 , Metabolism , Receptors, CCR7 , MetabolismABSTRACT
<p><b>UNLABELLED</b>To investigate the effect of sinomenine on the expression of chemokines and chemokine receptors of dendritic cells in patients with rheumatoid arthritis in vitro.</p><p><b>METHODS</b>The peripheral blood mononuclear cells isolated from 8 patients with rheumatoid arthritis were induced to differentiate into dendritic cells with GM-CSF and IL-4. The dendritic cells were exposed to sinomenine at high (5 mmol/L), moderate (2 mmol/L), and low (1 mmol/L) concentrations or treated with the control medium. The expression of CCR5 and CCR7 on the surface of the dendritic cells were measured by flow cytometry, and the CCR5 and CCR7 mRNA expressions were detected by semi-quantitative PCR. Enzyme-linked immunosorbent assay (ELISA) was used to measure the expressions of CXCL9 (MIG), CXCL10 (IP-10) and CXCL11 (ITAC).</p><p><b>RESULTS</b>Compared with the control cells, the dendritic cells treated with sinomenine, especially at high and moderate concentrations, showed significantly lowered mRNA and protein expressions of CCR5 and CCR7. Similar results were observed in the expressions of CXCL9 (MIG) and CXCL10 (IP-10), but not in CXCL11 (ITAC).</p><p><b>CONCLUSION</b>Sinomenine produces therapeutic effect on rheumatoid arthritis possibly by inhibiting the expression of chemokines and chemokine receptors in the dendritic cells to suppress the chemotactic migration of the dendritic cells.</p>
Subject(s)
Adult , Humans , Middle Aged , Arthritis, Rheumatoid , Drug Therapy , Allergy and Immunology , Metabolism , Chemokines , Genetics , Metabolism , Dendritic Cells , Allergy and Immunology , Metabolism , Gene Expression Regulation , Morphinans , Pharmacology , Therapeutic Uses , RNA, Messenger , Genetics , Metabolism , Receptors, Chemokine , MetabolismABSTRACT
<p><b>OBJECTIVE</b>To investigate the risk factors of community-acquired pneumonia (CAP) in patients with primary Sjogren's syndrome (pSS).</p><p><b>METHODS</b>The clinical data were collected from 121 inpatients with pSS and univariate analysis and logistic regression were conducted to analyze the risk factors of CAP.</p><p><b>RESULTS</b>The incidence of CAP in the 121 patients with pSS was 27.3%. Age, disease course, low while blood cells, low complement levels, liver and kidney dysfunction, low albumin, hyperglobulinaemia, renal tubule acidosis, interstitial lung disease (ILD) and immunosuppressive agents were closely related to CAP in these patients. Logistic regression analysis identified ILD, low complement levels and hyperglobulinemia as the risk factors for CAP in patients with pSS.</p><p><b>CONCLUSION</b>Vigorous control of pSS and minimizing the risk factors may prove effective to lower the incidence of CAP in patients with pSS.</p>