ObjectiveThis paper aims to make a research over clinical meaning of VMC with PVB and HRV.Methods22 kids who suffer from VMC with PVB and 28 kids who suffer from HRV and to compare and research their Heart Rate Variability within 24 hours.ResultsThe HRV of the VMC with PVB sufferers had decreased apparently within 24 hours( with discrepancy P ＜0.01 ).ConclusionThere exists apparent DIND in the VMC with PVB sufferers.HRV could be used to check the severness of the disease and prognosis.

Objective:To investigate the characteristics of the sleep quality and health-related quality of life (HRQoL), and analyze the different effects of sleep quality on HRQoL among young and middle-aged people.Methods:A cross-sectional study recruited 1 976 participants.All participants completed a self-designed questionnaire for the adults' general condition, the Pittsburgh sleep quality index (PSQI) and Short-Form health survey (SF-36). All participants were divided into 3 age groups: 18-29-year-old group( n=1 148), 30-44-year-old group( n=586) and 45-59-year-old group ( n=242). SPSS 23.0 software was used for statistical analysis.Chi-square test was used to analyze the general characteristics of the three age groups.Non-parametric test was used to analyze the scores of the three age groups in different dimensions of sleep quality. One-way ANOVA was used to analyze the mean scores of the three age groups in different dimensions of HRQoL. Stepwise regression analysis was used to analyze the effect of sleep quality on HRQoL among the three groups after control the confounding factors such as marital status, education, smoking, drinking and exercise habits and past medical history. Results:In terms of sleep quality, the total PSQI scores of 18-29-year-old, 30-44-year-old and 45-59-year-old groups(4(2, 6), 4(2, 6), 4(2, 6)) showed statistically significant differences ( Z=10.951, P=0.004). In terms of HRQoL, there were statistically significant differences in physical component summary scores (18-29-year-old: 82.51±12.62, 30-44-year-old: 80.72±13.63, 45-59-year-old: 82.04±13.07, F=3.667, P=0.026) and mental component summary scores(18-29-year-old: 76.09±15.46, 30-44-year-old: 77.20±16.14, 45-59-year-old: 81.82±14.14, F=13.649, P<0.001) among young and middle-aged people in different age groups.Regression analysis found that daytime dysfunction was an independent influencing factor for HRQoL in young and middle-aged population ( β=-0.308--0.425, all P<0.01). Sleep disorders significantly decreased Physical Component Summary of HRQoL in young-aged people ( β=-0.127--0.215, all P<0.01). The use of hypnotic drugs significantly reduced the scores in the physiological field in the young adults aged 30-44 ( β=-0.076, P<0.05). The duration of sleep significantly decreased the scores in the mental domain of young adults aged 30-44 ( β=-0.112, P<0.01). Subjective sleep quality was an independent factor that significantly decreased HRQoL in young adults aged 18-29 and 30-44 years ( β=-0.089--0.169, all P<0.01). Conclusion:Sleep quality and HRQoL of young and middle-aged people in different age groups show different characteristics.The effect of sleep quality on HRQoL is different among people in different ages.Taking targeted interventions for people of different ages to improve the sleep quality may be an effective way to improve their HRQoL.

OBJECTIVESTo investigate the risk factors for cervical cancer in the areas of high incidence, and provide evidence for current intervention of cervical cancer.

METHODSIn the areas of Xiangyuan County, Shanxi Provicne with high incidence of cervical cancer, 1 997 women were interviewed using a questionnaire, including baseline information, menstrual, marital and pregnancy histories, sexual behavior, health habits, contraception, medical history and family history of cancer, etc., after its screening with six kinds of methods. All subjects, including 84 cases with pathological diagnosis of greater than cINI, and 1 784 cases with pathological diagnosis of normal, were tested for high-risk HPV.

RESULTSThe overall rates of HPV infection were 20.8% (415/1 997) in high-risk subjects, 97.7% and 14.2% in the cases and control groups, respectively. Univariate analysis showed that risk factors with statistical significance included high-risk HPV infection, age at first sexual intercourse, history of pregnancy and abortion, the number of sexual partners and family history of cancer. Analysis with non-conditional logistic regression model revealed high-risk HPV infection, multiple sexual partners and family history of cancer associated obviously with occurrence of cervical cancer. In addition, there was significantly positive relationship between HPV infection, which increased with the number of sexual partners, and extramarital sexual activity both in males or females.

CONCLUSIONSThe main risk factor for cervical cancer in this region was high-risk HPV infection, which related to sexual behavior, hygienic habits during menstruation and puerperium. It was particularly important to detect and treat precancerous lesions and to implement behavior modification. In addition, further research on genetic susceptibility was suggested.

Abortion, Induced ; Adult ; Analysis of Variance ; China ; epidemiology ; Female ; Humans ; Interviews as Topic ; Multivariate Analysis ; Papillomaviridae ; Papillomavirus Infections ; epidemiology ; Risk Factors ; Sexual Behavior ; Sexual Partners ; Surveys and Questionnaires ; Tumor Virus Infections ; epidemiology ; Uterine Cervical Neoplasms ; epidemiology ; virology

Objective: To analyze the distribution and associated factors of high-risk genotypes of HPV in cervical infection among women in Shenzhen. Methods: The information on sociodemographic characteristics and HPV genotypes of HPV-positive women who participated cervical screening test from January 2014 to December 2016 was downloaded from Shenzhen Maternity and Child Healthcare Management Information System. According to the pathogenicity, the high-risk HPV genotypes were divided into 15 types including HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66 and 68; and there were 6 low-risk genotypes including HPV 6, 11, 42, 43, 44, and 81. Chi-square tests were applied to compare the proportions of high-risk HPV infection among women who had different sociodemographic characteristics. A non-conditional logistic regression model was used to analyze the associated factors for high-risk HPV infection. Results: In total, all HIV positives received HPV genotyping, with an average age of (38.08±9.38) years old. There were 9 979 (93.9%) high-risk and 645 (6.1%) low-risk HPV infections. The proportions of HPV infections for high-risk type in each year were 91.5%, 93.8%, and 95.6%, increasing with the screening years (χ²=54.79, P<0.001). Multivariate logistic regression analysis showed that compared with women younger than 25 years old, women in other age groups (at age 26 to 30 years, 31 to 35 years, 36 to 40 years, 41 to 45 years, and 50 years or older) had increased risks of high-risk HPV infection, with OR (95%CI) of 1.67 (1.20-2.31), 1.49 (1.09-2.03), 1.71 (1.23-2.37), 1.65 (1.19-2.31), and 1.84 (1.26-2.67), respectively; compared with the married, single women had a decreased risk of high-risk HPV infection (OR (95%CI): 0.71 (0.50-1.00)); women received HPV testing in 2015 and 2016 showed higher risk of high-risk HPV infection than those in 2014 (OR (95%CI): 1.43 (1.17-1.74) and 2.03 (1.68-2.46)). The 5 most common HPV genotypes were HPV52 (25.1%, 2 670 cases), followed by HPV16 (19.2%, 2 041 cases), HPV58 (13.3%, 1 413 cases), HPV18 (9.9%, 1 048 cases), and HPV51 (9.3%, 993 cases). Conclusion Age, marital status, and screening year were associated with high-risk HPV infections. Besides HPV16 and HPV18, the prevention and control on HPV infections for HPV52, HPV58, and HPV51 should be prioritized in Shenzhen area.

Objective: To analyze the epidemiological genotype features of human papillomavirus (HPV) in cervical infection and their risks for cervical precancers among women in Shenzhen area. Methods: A total of 2 717 individuals ranging in age from 30~59 years were recruited in 18 community health centers of Shenzhen city from March 1 to June 15, 2015 by a cluster sampling method. The results of genotype of HPV, liquid-based cytology (LBC), colposcopy and pathology were analyzed. The clinical sensitivity and specificity as well as positive (PPV) and negative (NPV) predictive values of the combination of different HPV genotype in screening the cervical intraepithelial neoplasia (CIN) 2 and above were estimated. Results: The HPV infection rate in Shenzhen area was 15.9% (432/2 717). The most common HPV genotype was HPV52 (22.9%), followed by HPV16 (12.7%), HPV53 (10.0%), HPV51 (8.6%) and HPV58 (8.1%). Compared with HPV16/18 genotyping, HPV33/16 genotyping had a higher sensitivity (57.1% vs. 42.9%, P<0.05) and an analogous specificity (87.3% vs. 86.9%, P>0.05) in predicting CIN2+ . The sensitivity of combination of HPV33/16 genotyping and low grade squamous intraepithelial lesion (LSIL) positive tested by LBC in predicting CIN2+ was 75.0%, significantly higher than 64.3% of atypical squamous cells of undetermined significance (ASC-US) positive tested by LBC alone (P<0.05). The specificities of these two methods mentioned above in predicting CIN2+ were 83.5% and 89.2%, respectively, without statistical difference (P>0.05). Conclusions Women infected by HPV have distinct risks for CIN2+ according to different high-risk HPV genotypes. The top five risks were HPV 33, 16, 58, 56, and 68. HPV-positive women triaged by LBC LSIL+ combined with HPV33/16 genotyping may be a potential strategy for cervical cancer screening in developed urban area.