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Objective Constructing physiological-psycho-social three dimensional aging index system, and scale to provide a basis for evaluating the effects of human aging and anti-aging measures. Methods Evaluation, modification and determination of the second and third level indexed by Delphi and principal component analysis and other methods. The weight of each index was weighted by the analytic hierarchy process, and the reliability and validity were calculated on the basis of the preliminary scale. A large sample of empirical studied to determine the aging of different age groups standardized score distribution table. The best model for judging functional age was sought, based on a variety of biostatistical models. Results The aging scale was constructed by three levels, the first level included 3 indicators, the second level had 10 indicators, the third level included 51 indicators, and adopted by expert certification the national society. 3 184 valid questionnaires were obtained through epidemiological investigation, the average total score of aging was (46.93±11.07) points, and the scores of aging were positively correlated with age(r=0.785, P<0.001). The average scores of aging in each dimension were different and the difference was statistically significant (all P<0.001), and each dimension had significant difference with age. The growth model (R2=0.635) was selected, the curve of the relationship between the score of aging and age was fitted. Conclusions The three-dimensional human aging scale was scientific, feasible, and has good reliability and validity. The empirical results show that the comprehensive score of aging increase with age, and show certain characteristics and laws on the curve.
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@#【Objective】To explore the changing rules of telomere length and the scores trend in different aging groups of women. 【Methods】 The 20-year-old and above healthy women were randomly selected from several hospitals of Nanchang University. Peripheral blood samples were collected as test samples，relative length of telomere was detected and analyzed. Meanwhile，the aging score was measured by PPSHAS scale. 【Results】 A total of 406 effective samples were obtained in this study，and the difference of telomere relative length in different age groups was statistically significant（P<0.001）.The results showed that the relative length of telomere shortened with age，there is a highly negative correlation between telomere length（Y）and age（X；r=-0.623，P<0.001）. The regression equation is Y =-0.012X +1.984（P<0.001，R2=0.400）. Scores increased with age，and there was a distinct upward trend in 40~ and 60~ years old groups. The relative length of telomere decreased significantly，suggesting that there was a certain degree of agreement between them. Scores contributed to further research on female senescence. 【Conclusion】The telomere length of peripheral blood leukocytes in healthy women is shortened with age，and the relative length of telomere is negatively correlated with age. The change trend of telomere length and senescence score in 40~ and 60~ age groups suggests that women are rapidly aging at this stage and provide reference for the study of women′s elderly problem.
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Objective To study the aging-related lifestyle and behaviors associated with the middle-aged and elderly so as to propose anti-aging strategies. Methods The aging degree of the elderly was measured by PPSHAS scale, which was certified by the national society. At the same time, the anti-aging factors were studied by questionnaire and logistic model. Results There were 836 effective PPSHAS scales and anti-aging questionnaires, 471 of which were significantly younger or older. Mann-Whitney U test showed that there was no significant difference in satiety and smoking between the two groups (Psatiety=0.295, Psmoking=0.294). By incorporating meaningful factors into logistic model, seven related anti-aging factors, such as dressing, drinking frequency and tea drinking habits, were obtained. Conclusions Aging can be delayed by paying attention to dressing, limiting alcohol, getting enough sleep, strengthening exercise, maintaining a harmonious family atmosphere, and drinking tea regularly.
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<p><b>OBJECTIVE</b>To evaluate the association between metabolic syndrome and colorectal cancer.</p><p><b>METHODS</b>A multicenter case-control study was conducted. A total of 1506 cases of colorectal cancer (936 males and 570 females), whose clinical data were complete and aged from 30 to 75, were collected in the Third, First and Second People's Hospital of Jingdezhen between 2000 and 2009. A total of 3354 controls (1766 males and 1588 females) were subjects admitted to the above 3 hospitals as cases with acute non-malignant non-digestive diseases. Multiple logistic regression models were used to analyze the association between metabolic syndrome and its components and colorectal cancer.</p><p><b>RESULTS</b>Forty-eight cases of colorectal cancer (3.2%) and 59 controls (1.8%) were diagnosed as metabolic syndrome. Colorectal cancer risk was increased in cases with metabolic syndrome (OR=1.64, 95% CI:1.14-2.49, P<0.05) and in men with metabolic syndrome (OR=1.92, 95% CI:1.27-3.78, P<0.05), but not in women (P>0.05). As the number of component of metabolic syndrome increased, the risk of colorectal cancer increased in men (P<0.01), but not in women (P>0.05).</p><p><b>CONCLUSION</b>Association between metabolic syndrome and colorectal cancer exists in men, but not in women.</p>
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Case-Control Studies , Colorectal Neoplasms , Logistic Models , Metabolic Syndrome , Risk , Risk FactorsABSTRACT
Objective Understanding the risk factors of female infertility among child-bearing aged women, in Nanchang area. Methods A hospital-based matched case-control study was carried out in Nanchang. Matched by age ( ±2 years old) , 383 pairs of cases and controls were recruited and studied. Database was established with EpiData 3.0 software. Both cases and controls were interviewed face to face, with a uniformed questionnaire. Conditional logistic regression model was used for univariate and multivariate analysis on SPSS 11.5 to estimate odds ratios (OR) and 95% confidence intervals (CI). Results Data from multiple conditional logistic regression analysis showed that the risk factors of infertility would include pelvic inflammatory diseases (0R=7.078, 95% Ch 3.462-14.467),post-abortion complications' history(0R=3.674, 95% CI: 1.690-7.986), drug treatment history (0R=23.576, 95% Ch 12.324-45.102), dysmenorrhea (0R=1.622, 95% CI: 1.161-2.266), pain from sexual intercourse (0R=2.447, 95% CI: 1.201-4.986), monthly frequency of sexual intercourse (0R=1.416,95% CI: 1.048-1.913)and mental stress (0R=2.146, 95% CI: 1.662-2.771). The protective factor of infertility, however, was level ofeducation(0R=0.522,95%Cl:0.391-0.696). Conclusion Prevention and treatment of pelvic infection, application of strictly controlled drugs, popularization of awareness on sexual and reproductive health and relief of mental stress would be important measures in decreasing the incidence of infertility.
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<p><b>OBJECTIVE</b>To explore whether there exists coincidence of the most appearing time of clinical features of liver cancer at different longitude and latitude, according to the law of field equation and the theory of warpage of space time by Einstein.</p><p><b>METHODS</b>Three regions with different longitude and latitude were selected randomly and sampled. There were 36 items altogether, including 12 clinical items, which were used to imitate the yearly cycle cosine curve. The acorphases and the ratioes of amplitudes and means were compared to justifying whether they were in the same range.</p><p><b>RESULTS</b>All the acorphases of 36 items appeared between -90.1degrees to -207.5 degrees (from april to july), existing in one third of the same range, in which 13 items occurred rhythmly (P<0.05). The image acorphases of liver cancer at the early and middle stage and gamma-glutamyl transpeptidase acorphase appeared between -98.5 degrees to -148.2 degrees (from april to may), in which 5 items occurred rhythmly (P<0.05).</p><p><b>CONCLUSION</b>It is the same mode of the yearly biologcal cycle for liver cancer malignant growth within the most appearing time (from april to july). It will increase the detecting rate of liver cancer at the early and middle stage during this time (especially from april to may).</p>