Objective To explore the correlation of fatigue with health-promoting lifestyle in the udnergraduate students, so as to provide scientific evidence for the intervention. Methods A cross-section trial was carried out in the undergraduate students from a medical university in Guangzhou. By a self-designed questionnaire, the incidence of fatigue in the undergraduate students was figured out after data processing and statistical analysis. Results A total of 6 100 questionnaires were released, and 5 843 were responded, with a respondent rate being 95.79%. The number of effective questionnaires arrived 5 676. The results showed that the prevalence of fatigue among undergraduate students was 49.6%. The female had a higher risk than the male ( 51.6% vs 45.8%, P<0.01). The prevalence of fatigue in grade 1-3 students was 49.4%, 48.1% and 52.1% , respectively, the difference being insignificant among the three grades (P>0.05). The students with poor level of health-promoting lifestyle had a higher risk of suffering from fatigue (OR=6.647, 95%CI: 4.913-8.993). Conclusion Fatigue is prevalent among the undergraduate students. The incidence of fatigue can be reduced by increasing the level of self-actualization, physical exercise and pressure management.

Objective To explore the relationship between the occurrence of sub-health and health promotion lifestyle in Guangdong province to provide epidemiological evidences for prevention of sub-health. Methods A 1:1 nested case-control study was carried out involving 133 cases from the cohort study paired with 133 control case matched for gender and age. Results The univariate conditional logistic regression model showed no significant association of marital status, education level, or body mass index with the occurrence of sub-health, but a significant correlation was found between lifestyle and sub-health with an odd ratio of 5.90 (95%CI:3.12-11.16, P=0.000). Analysis of the multivariate conditional logistic regression model on the 6 subscales of health promotion lifestyle showed that stress management was significantly correlated with the occurrence of sub-health with an odd ratio of 4.00 (95%CI:1.54-10.40, P=0.004). Conclusion A unhealthy lifestyle, especially in terms of stress management, is the major risk factor contributing to the occurrence of sub-health.

Objective To explore the relationship between the occurrence of sub-health and health promotion lifestyle in Guangdong province to provide epidemiological evidences for prevention of sub-health. Methods A 1:1 nested case-control study was carried out involving 133 cases from the cohort study paired with 133 control case matched for gender and age. Results The univariate conditional logistic regression model showed no significant association of marital status, education level, or body mass index with the occurrence of sub-health, but a significant correlation was found between lifestyle and sub-health with an odd ratio of 5.90 (95%CI:3.12-11.16, P=0.000). Analysis of the multivariate conditional logistic regression model on the 6 subscales of health promotion lifestyle showed that stress management was significantly correlated with the occurrence of sub-health with an odd ratio of 4.00 (95%CI:1.54-10.40, P=0.004). Conclusion A unhealthy lifestyle, especially in terms of stress management, is the major risk factor contributing to the occurrence of sub-health.

OBJECTIVETo study the relationship between sub-health status and the health-promoting lifestyle of employees.

METHODSA total of 5316 employees in a company in Guangdong were surveyed using sub-health measurement scale version 1.0 (SHMS V1.0) and the health-promoting lifestyle profile (HPLP-II). The former scale included 3 subscales of somatic sub-health, psychological sub-health and social sub-health, and the latter included 6 subscales of self-actualization, healthy responsibility, physical exercise, nutrition, interpersonal sensitivity and stress treatment.

RESULTSThe total healthy rate was 12.86% among the employees, with 76.76% and 10.5% in sub-health and disease states. The mean scores of HPLP-II was 115.95∓21.468 in the total population surveyed, 134.23∓24.72 in healthy employees and 114.69∓19.25 in the patients. There was a significant difference in the grades of health-promoting lifestyle between sub-healthy and healthy employees (P<0.05) as well as in the scores of HPLP-II and the scores of the 6 subscales (P<0.05). An appreciable correlation was found between sub-health status and the 6 subscales, and self-realization, physical exercise and stress management showed significant inverse correlation with sub-health status.

CONCLUSIONSub-health status is related to health-promoting lifestyle, and self-realization, physical exercise and management are the protective factors that influence sub-health status.

Adult ; Cross-Sectional Studies ; Female ; Health Behavior ; Health Promotion ; Health Status ; Humans ; Life Style ; Male ; Surveys and Questionnaires ; Young Adult

OBJECTIVETo explore the relationship between the occurrence of sub-health and health promotion lifestyle in Guangdong province to provide epidemiological evidences for prevention of sub-health.

METHODSA 1:1 nested case-control study was carried out involving 133 cases from the cohort study paired with 133 control case matched for gender and age.

RESULTSThe univariate conditional logistic regression model showed no significant association of marital status, education level, or body mass index with the occurrence of sub-health, but a significant correlation was found between lifestyle and sub-health with an odd ratio of 5.90 (95% CI: 3.12-11.16, P=0.000). Analysis of the multivariate conditional logistic regression model on the 6 subscales of health promotion lifestyle showed that stress management was significantly correlated with the occurrence of sub-health with an odd ratio of 4.00 (95% CI: 1.54-10.40, P=0.004).

CONCLUSIONA unhealthy lifestyle, especially in terms of stress management, is the major risk factor contributing to the occurrence of sub-health.

Case-Control Studies ; Cohort Studies ; Health Promotion ; Humans ; Life Style ; Logistic Models ; Odds Ratio ; Risk Factors