Path analysis of lifestyle habits to the metabolic syndrome / 中华预防医学杂志

<p><b>OBJECTIVE</b>To evaluate the relationship between lifestyle habits and the components of metabolic syndrome (MS).</p><p><b>METHODS</b>Based on the routine health check-up system in a certain Center for Health Management of Shandong Province, a longitudinal surveillance health check-up cohort from 2005 to 2010 was set up. There were 13 225 urban workers in Jinan included in the analysis. The content of the survey included demographic information, medical history, lifestyle habits, body mass index (BMI) and the level of blood pressure, fasting blood-glucose, and blood lipid, etc. The distribution of BMI, blood pressure, fasting blood-glucose, blood lipid and lifestyle habits between MS patients and non-MS population was compared, latent variables were extracted by exploratory factor analysis to determine the structure model, and then a partial least squares path model was constructed between lifestyle habits and the components of MS.</p><p><b>RESULTS</b>Participants'age was (46.62 ± 12.16) years old. The overall prevalence of the MS was 22.43% (2967/13 225), 26.49% (2535/9570) in males and 11.82% (432/3655) in females. The prevalence of the MS was statistically different between males and females (χ(2) = 327.08, P < 0.01). Between MS patients and non-MS population, the difference of dietary habits was statistically significant (χ(2) = 166.31, P < 0.01) in MS patients, the rate of vegetarian, mixed and animal food was 23.39% (694/2967), 42.50% (1261/2967) and 34.11% (1012/2967) respectively, while in non-MS population was 30.80% (3159/10 258), 46.37% (4757/10 258), 22.83% (2342/10 258) respectively. Their alcohol consumption has statistical difference (χ(2) = 374.22, P < 0.01) in MS patients, the rate of never or past, occasional and regular drinking was 27.37% (812/2967), 24.71% (733/2967), 47.93% (1422/2967) respectively, and in non-MS population was 39.60% (4062/10 258), 31.36% (3217/10 258), 29.04% (2979/10 258) respectively. The difference of their smoking status was statistically significant (χ(2) = 115.86, P < 0.01) in MS patients, the rate of never or past, occasional and regular smoking was 59.72% (1772/2967), 6.24% (185/2967), 34.04% (1010/2967) respectively, while in non-MS population was 70.03% (7184/10 258), 5.35% (549/10 258), 24.61% (2525/10 258) respectively. Both lifestyle habits and the components of MS were attributable to only one latent variable. After adjustment for age and gender, the path coefficient between the latent component of lifestyle habits and the latent component of MS was 0.22 with statistical significance (t = 6.46, P < 0.01) through bootstrap test. Reliability and validity of the model:the lifestyle latent variable: average variance extracted was 0.53, composite reliability was 0.77 and Cronbach's a was 0.57. The MS latent variable: average variance extracted was 0.45, composite reliability was 0.76 and Cronbach's a was 0.59.</p><p><b>CONCLUSION</b>Unhealthy lifestyle habits are closely related to MS. Meat diet, excessive drinking and smoking are risk factors for MS.</p>

Distribution of serum prostate-specific antigen in Chinese healthy men: a population-based study / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>The morbidity and mortality of prostate cancer have been increasing rapidly in recent China. There were few studies investigating prostate-specific antigen (PSA) values ranges in the healthy Chinese population. We performed this study to determine the distribution of serum PSA in a large healthy Chinese population.</p><p><b>METHODS</b>From January 2001 to May 2008, 11 150 healthy Chinese men aged 30 - 79 years came to our hospital for routine health check-up. All subjects without a previous diagnosis of prostate cancer, a history of prostate surgery, or urogenital tract infection were proposed to undergo systematic serum PSA measurement and digital rectal examination (DRE). Men with normal DRE and PSA ≤ 4.0 ng/ml and those PSA > 4.0 ng/ml or abnormal DRE but without adverse findings on prostate biopsy were included (n = 9358). Age and serum PSA concentration were recorded and correlated through Logistic regression analysis.</p><p><b>RESULTS</b>The 95th percentile serum PSA concentration was 1.89 ng/ml for men aged 30 to 39 years, 2.19 ng/ml for men aged 40 to 49 years, 2.88 ng/ml for men aged 50 to 59 years, 4.42 ng/ml for men aged 60 to 69 years, and 6.52 ng/ml for men aged 70 to 79 years. The serum PSA concentration correlated with age (P < 0.0001) with an annual increase of 0.97% for men in 40 years, 1.58% for men in 50 years, 3.04% for men in 60 years, and 3.99% for men in 70 years.</p><p><b>CONCLUSIONS</b>The serum PSA level correlates directly with age in Chinese men older than 40 years, not in Chinese men younger than 40 years old. Chinese men have lower PSA level compared with white men above 60 years of age, not in those under 60 years of age.</p>