<b>Objective:b> To investigate the rates on prevalence, awareness, treatment and control of hypertension in population older than 15 years of age in Beijing, 2013-2014. <b>Methods:b> A cross-sectional survey was conducted in Beijing between 2013-2014. Stratified multistage random sampling method was used to select representative sample of 13 057 Chinese individuals aged over 15 years, from the general population. Blood pressure was measured for three readings at sitting position after resting for at least five minutes with an average reading recorded. A standardized structured questionnaire was developed to collect history of hypertension and antihypertensive treatment. <b>Results:b> A total of 4 663 community residents aged over 15 years were hypertensive among the 13 057 individuals, with the standardized prevalence rate as 32.7%, in Beijing area. The age-standardized prevalence rates of hypertension appeared 34.6% in men and 30.8% in women. The age-and sexstandardized prevalence of hypertension rates were 33.3% in urban and 24.6% in rural areas. The prevalence of hypertension increased with age and appeared higher in men than in women, in urban than in rural residents. Among the hypertensive patients, rates of awareness, treatment and control were 66.8%, 64.6% and 31.6%, respectively. <b>Conclusion:b> High prevalence of hypertension with low rates on awareness and treatment and control, appeared in the general population of Beijing. Related strategies should be developed regarding prevention, control and management of hypertension, to reduce the burden of this disease.
Adolescent ; Adult ; Age Distribution ; Aged ; Antihypertensive Agents/therapeutic use* ; Asian People/statistics & numerical data* ; Awareness ; Blood Pressure ; Blood Pressure Determination ; China/epidemiology* ; Cross-Sectional Studies ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Hypertension/epidemiology* ; Male ; Middle Aged ; Prevalence ; Rural Population ; Sex Distribution ; Surveys and Questionnaires ; Urban Population ; Young Adult

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

<b>Objective:b> To analyze the relationship between medication taken during pregnancy and congenital heart disease of the newborns. <b>Methods:b> A large cross-sectional survey was conducted between August and November 2013. A questionnaire survey was conducted among the childbearing aged women, selected through multistage stratified random sampling in Shaanxi from 2010 to 2013. All of the childbearing aged women under study were in pregnancy and with definite pregnancy outcomes. Multivariable Poisson regression was conducted for data analyses. <b>Results:b> A total of 28 680 cases were included in this study. The proportion of medication taken at any time during pregnancy was 16.0%, and the prevalence of congenital heart disease among the newborns was 67.9/10 000. After adjustment for factors as general demographic characteristic, history of heart disease and drug allergy and the situation of disease during pregnancy of these women, results from the multivariable Poisson regression showed that, factors as taking drugs (RR=1.95, 95%CI: 1.42- 2.68), cold medicine (RR=1.68, 95%CI: 1.07-2.64), antibiotics (RR=1.90, 95%CI: 1.25-2.90), salicylates (RR=5.01, 95%CI: 1.84-13.64) and antifungal drugs (RR=10.22, 95%CI: 3.25-32.19) during pregnancy were all related to congenital heart disease, and with the history of taking cold medicine (RR=1.90, 95%CI: 1.01-3.61), antibiotics (RR=2.18, 95%CI: 1.17-4.06), salicylates (RR=6.07, 95%CI: 1.45-25.41), antifungal drugs (RR=21.01, 95%CI: 4.17-105.87) and other drugs (RR=2.31, 95%CI: 1.19-4.47) during early pregnancy. These factors were with higher risks for congenital heart disease. <b>Conclusion:b> Women of childbearing age who took cold medicine, antibiotics, salicylic acid drugs, antifungal drugs and other drugs during early pregnancy would increase the risks related to congenital heart diseases.
Adult ; Cross-Sectional Studies ; Drug Therapy ; Drug-Related Side Effects and Adverse Reactions ; Female ; Heart Diseases/epidemiology* ; Humans ; Infant, Newborn ; Pregnancy ; Pregnancy Outcome ; Prevalence ; Surveys and Questionnaires

Ergonomics ; Humans ; Industry ; Musculoskeletal Diseases/epidemiology* ; Occupational Diseases/epidemiology* ; Risk Factors

<b>Objective:b> To understand the status, attitude and related risk factors on smoking among 18-65 years old patients with hypertension, diabetes, dyslipidemia, chronic obstructive pulmonary disease (COPD) or asthma in Beijing. <b>Methods:b> Data was gathered from the 2014 Beijing Non-communicable and Chronic Disease Surveillance Program. Multiple classified cluster sampling method was used and 19 815 participants aged 18-65 were sampled from 16 districts in Beijing. <b>Results:b> Among all the 18 405 participants, male hypertensive patients showed a higher rate on current smoking than the other groups (χ(2)=17.695, P<0.001). Male patients with dyslipidemia had higher current smoking rate than the other groups (χ(2)=39.292, P<0.001). However, female patients with COPD or with asthma showed higher rate on current smoking than the other groups (χ(2)=6.276, P=0.012), (χ(2)=8.245, P=0.004). Among the smokers, hypertensive patients presented lower rate (χ(2)=20.487, P<0.001) on intention of smoking concession, than the other groups. Patients with COPD showed greater intention in quitting smoking (χ(2)=6.085, P=0.048), than the other groups. Male patients with diabetes (χ(2)=9.219, P=0.010) or dyslipidemia (χ(2)=13.513, P=0.001) who had stopped smoking tobacco appeared having higher rates in keeping the current status. Results from logistic regression analyses showed that smoking was the risk factor for hypertension (OR=1.17), dyslipidemia (OR=1.25), COPD (OR=1.78), and asthma (OR=1.57). <b>Conclusions:b> Patients with certain kinds of chronic diseases showed higher rate of current smoking and lower rate of quitting. Cigarette consumption appeared an important risk factor for patients with hypertension, dyslipidemia, COPD, or asthma in Beijing.
Adolescent ; Adult ; Aged ; Asthma/epidemiology* ; Beijing/epidemiology* ; Chronic Disease/epidemiology* ; Diabetes Mellitus/epidemiology* ; Female ; Humans ; Hypertension/epidemiology* ; Intention ; Male ; Middle Aged ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Risk Factors ; Smokers ; Smoking/psychology* ; Smoking Cessation ; Nicotiana/adverse effects*

<b>Objective:b> To understand the circulation, drug resistance and molecular characteristics of Salmonella1, 4, [5], 12: i:- in human in Guangdong province. <b>Methods:b>Salmonella1, 4, [5], 12: i:- isolated from diarrhea patients in Guangdong during 2007-2016 were detected for drug resistance, genes and PFGE characteristics. <b>Results:b> A total of 2 960 strains Salmonella1, 4, [5], 12: i: - were isolated from human diarrhea cases during this period. The positive rates of the isolation increased year by year. The male to female ratio of the infection cases was 1.58∶1, and the infection mainly occurred in infants and young children. Except imipenem, Salmonella1, 4, [5], 12: i: - was resistant to other 17 antibiotics to some extent. The drug resistant rates to ceftazidime, cefotaxime and ciprofloxacin increased from 2011 to 2016. Multi-drug resistance was serious, for example, the multi-drug resistant strains with ASSuT accounted for 70.62% (435/616) and the multi-drug resistant strains with ACSuGSTTm accounted for 27.11% (167/616). The lack of fljA, fljB and hin genes, as well as the retaining of iroB, STM2740, STM2757 genes, resulted in the unable expression of FljBenx gene with 8 different defection profiles. There were 934 different PFGE patterns observed in 2 347 strains, which displayed a relatively large fingerprint polymorphism. The major PFGE pattern was JPXX01. GD0226, which was found in 97 strains, accounting for 4.13% (97/2 347). The PFGE patterns in 168 Salmonella1, 4, [5], 12: i: - strains were consistent with that of Salmonella typhimurium. <b>Conclusions:b>Salmonella1,4,[5], 12: i: - strains has become the major serotype of Salmonella that cause diarrhea in human in Guangdong. The multi-drug resistance of Salmonella1,4, [5], 12: i: - was serious, and since the defection of fljA, fljB and hin genes, the expression of FljBenx protein failed. The PFGE results were diverse, which displayed polymorphism in inheritance.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Anti-Bacterial Agents/pharmacology* ; Child ; Child, Preschool ; China/epidemiology* ; Diarrhea/microbiology* ; Drug Resistance, Bacterial ; Electrophoresis, Gel, Pulsed-Field ; Female ; Humans ; Infant ; Male ; Microbial Sensitivity Tests ; Middle Aged ; Salmonella Infections/prevention & control* ; Salmonella enterica/isolation & purification* ; Salmonella typhimurium ; Serogroup ; Serotyping ; Young Adult