The statistic shows the population of Nanjing in China from 1980 to 2010, with forecasts up until 2035. In 2010, the population of Nanjing had amounted to about **** million inhabitants and was forecasted to reach **** million in 2019.

. China Population: Household Registration: Urbanization Rate: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate.

Historical dataset of population level and growth rate for the Nanjing, Jiangsu, China metro area from 1950 to 2025.

Population: Census: Jiangsu: Nanjing data was reported at 9,314.685 Person th in 12-01-2020. This records an increase from the previous number of 8,004.680 Person th for 12-01-2010. Population: Census: Jiangsu: Nanjing data is updated decadal, averaging 8,004.680 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 9,314.685 Person th in 12-01-2020 and a record low of 6,126.165 Person th in 12-01-2000. Population: Census: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

Population: Jiangsu: Nanjing: Usual Residence data was reported at 9,547.000 Person th in 2023. This records an increase from the previous number of 9,491.100 Person th for 2022. Population: Jiangsu: Nanjing: Usual Residence data is updated yearly, averaging 8,526.250 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 9,547.000 Person th in 2023 and a record low of 6,148.500 Person th in 2000. Population: Jiangsu: Nanjing: Usual Residence data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

Population: Household Registration: Death Rate: Jiangsu: Nanjing data was reported at 6.170 ‰ in 2022. This records an increase from the previous number of 6.020 ‰ for 2021. Population: Household Registration: Death Rate: Jiangsu: Nanjing data is updated yearly, averaging 5.770 ‰ from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 7.870 ‰ in 2010 and a record low of 5.150 ‰ in 2006. Population: Household Registration: Death Rate: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: Natural Growth Rate.

Population: Jiangsu: Nanjing: Gaochun data was reported at 450.000 Person th in 2017. This records an increase from the previous number of 440.000 Person th for 2016. Population: Jiangsu: Nanjing: Gaochun data is updated yearly, averaging 427.000 Person th from Dec 2004 (Median) to 2017, with 13 observations. The data reached an all-time high of 450.000 Person th in 2017 and a record low of 420.000 Person th in 2006. Population: Jiangsu: Nanjing: Gaochun data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: County Level Region.

Population: Inflow: Jiangsu: Nanjing data was reported at 91.655 Person th in 2022. This records a decrease from the previous number of 147.497 Person th for 2021. Population: Inflow: Jiangsu: Nanjing data is updated yearly, averaging 160.085 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 231.863 Person th in 2006 and a record low of 91.655 Person th in 2022. Population: Inflow: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Non-natural Change.

Population: District under City: Household Registration: Jiangsu: Nanjing data was reported at 7,390.000 Person th in 2022. This records an increase from the previous number of 7,337.258 Person th for 2021. Population: District under City: Household Registration: Jiangsu: Nanjing data is updated yearly, averaging 6,630.000 Person th from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 7,390.000 Person th in 2022 and a record low of 5,483.700 Person th in 2010. Population: District under City: Household Registration: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: District under City.

Univariate logistic regression for CHD risk factors.

Relationship between occupational characteristics and CHD.

Distribution of worktime between sedentary and non-sedentary employed population.

ObjectiveTo explore the association of working hours and occupational physical activity (OPA) with the occurrence of coronary heart disease (CHD) in a Chinese population.MethodsA total of 595 participants (354 and 241 patients with and without CHD, respectively) aged between 24 and 65 were enrolled in our study, which was conducted at the First Affiliated Hospital of Nanjing Medical University between December 2015 and October 2016. Participant characteristics were collected from face-to-face questionnaires, and logistic regression analysis was conducted to examine the association of working hours and OPA with the occurrence of CHD.ResultsCompared with non-employed people, long working hours (especially ≥55 hours/week) contributed to the occurrence of CHD (adjusted odds ratio[OR] = 2.213, 95% confidence interval [CI]: 1.125, 4.355, P = 0.021) after multivariate adjustment in the Chinese population. With the extension of worktime, the CHD risk increased (P for the dose-response trend = 0.022). Meanwhile, even after adjusting for engagement in physical activity during leisure time, sedentary behavior at work had an adverse effect on CHD risk (adjusted OR = 2.794, 95%CI: 1.526, 5.115, P = 0.001), and a linear relationship was also found between OPA and CHD (P for the trend = 0.005).ConclusionsLong working hours and sedentary behavior at work are associated with a high risk of CHD. In addition, prolonged working hours in sedentary occupations increases the risk of CHD, independent of engagement in leisure time physical activity.

Population: Household Registration: Female: Jiangsu: Nanjing data was reported at 3,734.390 Person th in 2022. This records an increase from the previous number of 3,700.646 Person th for 2021. Population: Household Registration: Female: Jiangsu: Nanjing data is updated yearly, averaging 3,154.600 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 3,734.390 Person th in 2022 and a record low of 2,632.299 Person th in 2000. Population: Household Registration: Female: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: By Sex.

A recent genome-wide association study (GWAS) has identified a new subset of susceptibility loci of Tetralogy of Fallot (TOF), one form of cyanotic congenital heart disease (CHD), on chromosomes 10p11, 10p14, 12q24, 13q31, 15q13 and 16q12 in Europeans. In the current study, we conducted a case-control study in a Chinese population including 1,010 CHD cases [atrial septal defect (ASD), ventricular septal defect (VSD) and TOF] and 1,962 controls to evaluate the associations of these loci with risk of CHD. We found that rs2228638 in NRP1 on 10p11 was significantly increased the risk of TOF (OR = 1.52, 95% CI = 1.13–2.04, P = 0.006), but not in other subgroups including ASD and VSD. In addition, no significant associations were observed between the other loci and the risk of ASD, VSD or TOF. Our results suggested that the genetic variants on 10p11 may serve as candidate markers for TOF susceptibility in Chinese population.

Population: Jiangsu: Nanjing: Liuhe data was reported at 949.500 Person th in 2020. This records an increase from the previous number of 920.000 Person th for 2017. Population: Jiangsu: Nanjing: Liuhe data is updated yearly, averaging 890.000 Person th from Dec 2004 (Median) to 2020, with 14 observations. The data reached an all-time high of 949.500 Person th in 2020 and a record low of 860.000 Person th in 2004. Population: Jiangsu: Nanjing: Liuhe data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: County Level Region.

Relationship between worktime, OPA and the risk of CHD.

BackgroundThis study was conducted to systematically evaluate the knowledge, attitudes, and practices (KAP) of pediatric healthcare workers (HCWs) concerning risk assessment in basic nosocomial infection control, with a specific focus on identifying key demographic and professional variables that may influence these outcomes.MethodsA cross-sectional survey was conducted among 126 pediatric HCWs in Nanjing, China. A structured questionnaire on nosocomial infection control was developed using the Delphi method. Expert consensus was assessed using content validity indices (CVI) and Kendall's W. One-way ANOVA identified significant differences in responses to sub-questions. Factor analysis was based on severity and importance ratings. Linear regression examined associations between demographic variables and risk assessment performance. Statistical significance was defined as P < 0.05.ResultsOne-way ANOVA demonstrated statistically significant variations in responses to 17 sub-questions (P < 0.05), reflecting differing perceptions of severity and importance across departments. Factor analysis extracted two distinct factors related to severity (44.055, 29.767%) and one overarching factor associated with importance (51.505%). However, no statistically significant correlations were observed between age, gender, or professional title and knowledge levels regarding infection control, indicating minimal influence of these demographic characteristics on attitudes toward infection control practices.ConclusionThese findings provide key insights into current knowledge, attitudes, and practices regarding nosocomial infection control among pediatric HCWs in Nanjing, China. The observed differences between departments highlight the need for tailored interventions. Future research should focus on developing and evaluating such targeted strategies to improve infection control, patient safety, and care quality.

Population: Household Registration: Natural Change: Jiangsu: Nanjing data was reported at 4.462 Person th in 2022. This records a decrease from the previous number of 8.955 Person th for 2021. Population: Household Registration: Natural Change: Jiangsu: Nanjing data is updated yearly, averaging 15.554 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 46.406 Person th in 2017 and a record low of 0.477 Person th in 2003. Population: Household Registration: Natural Change: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: Natural Change.

• Odds ratio (OR) and 95% CIs were used to present combined influence of baseline moderate physical activity and hypertension on subsequent diabetes.†Diabetes was diagnosed based on venous blood glucose test plus clinical symptoms by registered physicians according to the 1999 World Health Organization diagnostic criterion. Participants with normal blood glucose values were treated as the reference.‡Model 1: univariate logistic regression model.§Model 2: multivariate logistic regression model with adjustment for age, gender, educational attainment, family history of diabetes, body weight status, cigarette smoking, alcohol drinking, TV viewing, vegetables intake and meat intake.∥ Physical activity was categorized into ‘Sufficient’ and ‘Insufficient’ based on the recommendation (at least 150 minutes per week) for adults'.