ABSTRACT
Objective:To investigate the sleep of infants aged 0 to 5 months and explore its association with feeding patterns.Methods:A cross-sectional survey on infant sleep was conducted from February to August 2019 using "Brief Infant Sleep Questionnaire" posted on a WeChat public account, which mainly included two dimensions of sleep duration and habits. In addition, information on maternal and infant characteristics as well as feeding patterns was also collected. Multiple linear regression and multinomial logistic regression were used to analyze the association between sleep and feeding patterns.Results:This study included 28 444 singleton infants aged 0 to 5 months and their mothers from 31 provincial-level administrative regions in mainland China. The median sleep duration of infants at night and during the day was 9 h and 6 h, respectively. These infants sharing the bed with their parents accounted for 53.5% (15 221/28 444). Of all infants, 46.0% (13 092/28 444) slept on their backs; 84.7% (24 078/28 444) woke up two times or more at night; 58.3% (16 597/28 444) stayed awake 2 h or more at night; 89.7% (25 523/28 444) had a sleep latency of 1 h or more. Falling asleep while being fed was the most common way to fall asleep (40.2%, 11 426/28 444). The numbers of infants who were exclusively breastfed, exclusively formula-fed and mixed-fed were 7 164 (25.2%), 4 097 (14.4%) and 17 183 (60.4%), respectively. Compared with exclusively breastfed infants, exclusively formula-fed infants slept for shorter periods at night (a β=－0.14, 95% CI:－0.22 to－0.06, P<0.05), while mixed-fed infants slept longer (a β=0.08, 95% CI: 0.02-0.13, P<0.05). Exclusively formula-fed infants had less overall sleep time than recommended ( aOR=1.10, 95% CI: 1.00-1.21, P<0.05). Exclusively formula-fed and mixed-fed infants were less likely to sleep in cribs in separate rooms ( aOR=0.50, 95% CI: 0.44-0.56; aOR=0.35, 95% CI: 0.32-0.38; both P<0.05). Exclusively formula-fed infants were less likely to share the bed with their parents ( aOR=0.91, 95% CI: 0.83-0.99, P<0.05), but the likelihood in mixed-fed infants was high ( aOR=1.19, 95% CI: 1.11-1.27, P<0.05). Mixed-fed infants were more likely to sleep on their backs ( aOR=1.12, 95% CI: 1.06-1.18, P<0.05). Exclusively formula-fed infants were more likely to stay awake for four hours or more at night ( aOR=1.12, 95% CI: 1.01-1.25, P<0.05). Conclusions:Exclusively breastfeeding was the best feeding pattern for infant sleep quantity. But much attention should be paid to sleeping habits including sleeping place and sleeping position associated with exclusively breastfeeding to improve infant sleep and feeding.
ABSTRACT
Objective:To investigate the relationship between the epidemic of Coronavirus Disease in 2019 (COVID-19) in China and population migration from Wuhan before the city implemented strict migration restrictions.Methods:We collected the cumulative number of confirmed cases with COVID-19 up to January 31, 2020 from the official website of the health administrative departments, and information on population migration out of Wuhan during January 10, 2020 and January 24, 2020, approximately half months prior to the implementation of strict migration restrictions by the city, from Baidu population-migration big data platform. Population migration data were provided for the top 100 cities in the form of percentage values, calculated as the number of migrants from Wuhan into these cities divided by the total number of migrants out of Wuhan during the same period multiplied by 100%. The two-independent sample non-parametric Wilcoxon rank-sum test was used to compare the distribution of cumulative number of cases between the top 100 cities and the remaining 205 non-top 100 cities of China. The relationship between the cumulative number of cases and the percentage of migrants from Wuhan into the top 100 cities were further assessed by Pearson correlation and by multiple linear regression with adjustment for population size, population density, and GDP per capita.Results:The top 100 cities accounted for 91.6% of total migrants out of Wuhan, and the top 14 cities were all in Hubei province. There were a total of 5,869 cases in the top 100 cities, with a median (interquartile range) of 21.5 (12~55) cases, whereas in the 205 non-top 100 cities there were a total of 1,063 cases, with a median (interquartile range) of 4 (2~7) cases. The median cumulative number of cases differed significantly between the two types of cities ( P<0.001). Among the top 100 cities, there was a strong correlation between the percentage of migrants from Wuhan and the cumulated number of cases (Pearson correlation coefficient=0.92), and for every 1 percentage point increase in migrants from Wuhan the cumulative number of cases increased by approximately 42 (95%CI, 39 to 45). The number of cumulative number of cases in Wenzhou and Chongqing was detected as potential outliers in regression diagnosis ( P<0.001, corresponding standardized residuals were 5.2 and 3.5, respectively), suggesting that the number of cases in these two cities was substantially higher than others with similar amount of migrants from Wuhan. Conclusions:There is a strong positive association between the percentage of migrants from Wuhan and the epidemic status of COVID-19 infections in cities in China.
ABSTRACT
Objective@#To investigate the relationship between the epidemic of Coronavirus Disease in 2019 (COVID-19) in China and population migration from Wuhan before the city implemented strict migration restrictions.@*Methods@#We collected the cumulative number of confirmed cases with COVID-19 up to January 31, 2020 from the official website of the health administrative departments, and information on population migration out of Wuhan during January 10, 2020 and January 24, 2020, approximately half months prior to the implementation of strict migration restrictions by the city, from Baidu population-migration big data platform. Population migration data were provided for the top 100 cities in the form of percentage values, calculated as the number of migrants from Wuhan into these cities divided by the total number of migrants out of Wuhan during the same period multiplied by 100%. The two-independent sample non-parametric Wilcoxon rank-sum test was used to compare the distribution of cumulative number of cases between the top 100 cities and the remaining 205 non-top 100 cities of China. The relationship between the cumulative number of cases and the percentage of migrants from Wuhan into the top 100 cities were further assessed by Pearson correlation and by multiple linear regression with adjustment for population size, population density, and GDP per capita.@*Results@#The top 100 cities accounted for 91.6% of total migrants out of Wuhan, and the top 14 cities were all in Hubei province. There were a total of 5,869 cases in the top 100 cities, with a median (interquartile range) of 21.5 (12~55) cases, whereas in the 205 non-top 100 cities there were a total of 1,063 cases, with a median (interquartile range) of 4 (2~7) cases. The median cumulative number of cases differed significantly between the two types of cities (P<0.001). Among the top 100 cities, there was a strong correlation between the percentage of migrants from Wuhan and the cumulated number of cases (Pearson correlation coefficient=0.92), and for every 1 percentage point increase in migrants from Wuhan the cumulative number of cases increased by approximately 42 (95%CI, 39 to 45). The number of cumulative number of cases in Wenzhou and Chongqing was detected as potential outliers in regression diagnosis (P<0.001, corresponding standardized residuals were 5.2 and 3.5, respectively), suggesting that the number of cases in these two cities was substantially higher than others with similar amount of migrants from Wuhan.@*Conclusions@#There is a strong positive association between the percentage of migrants from Wuhan and the epidemic status of COVID-19 infections in cities in China.
ABSTRACT
Objective:To describe the secular trends of premarital medical examination ( PME ) in China during 1996 and 2013 and to assess the impacts of national health policies on the PME rate. Methods:The information on marriage and PME for districts and counties in 31 provinces of China was annually collected by the Office for National Maternal & Child Health Statistics of China, and the infor-mation on the health policies was from official governmental websites. According to the main health poli-cies, the calendar years were categorized into 3 periods:1996 to 2003 was mandatory PME period;2004 to 2008 was encouraged voluntary PME period; and 2009 to 2013 was free-paid voluntary PME period. Results: During the 18-year period, 284 242 719 people were registered for a marriage in which 107 198 795 were examined, giving the PME rate of 37. 7%. During the mandatory PME period, the rate ranged 52 . 7% -67 . 7% with an average of 60 . 9% ( urban 71 . 5%, and rural 51 . 7%) . In 2004 , the first year when the PME became voluntary, the rate was abruptly dropped to 2. 6%, and thereafter gradually increased to 11 . 5% in 2008 . As the policies of the free-paid voluntary PME were subsequently issued, the rate was quickly increased to 52. 3% (urban 49. 8%, and rural 54. 6%) in 2013. The in-creasing trend was consistently observed both in urban and rural areas, and across East, Middle, West, and Northeast economical regions. However, the rates differed greatly among provinces. In 2013, 5 pro-vinces had rates of >90% ( Guangxi 97 . 5%, Fujian 96 . 0%, Ningxia 95 . 4%, Zhejiang 93 . 4% and Anhui 90. 1%), whereas some provinces were stuck at a low rate, including developed and underdeve-loped provinces/cities. The PME rate in 2013 was 27. 4% for Shanghai, 25. 5% for Guangdong, 12. 4%for Chongqing, 5. 8% for Beijing and 4. 6% for Tianjin. Underdeveloped provinces were Guizhou (6. 4%) and Qinghai (1. 8%). Conclusion:As various national policies to promote voluntary PME were issued, the PME rate was significantly increased after a sharp decline, though it varied greatly by provinces. For provinces with high PME rate, PME-related health benefits need to be evaluated;for provinces with low rate, it is of important practical significance to explore a cost-effective health service model that is likely incorporated with pre-pregnancy examination.
ABSTRACT
Epidemiology is a discipline characterized by complicated theory and practice.How to make the practice course function better is a topic worthy of exploring in educational reform for clinical students.The article explored the‘Student-Dominated’ Model based on ‘Problem-Based Learning ’ and ‘Team Based Learning ’ in teaching process and compared the model with the traditional one ( Teacher-Dominated Model) .Suggestions were given to further improve effectiveness of epidemiology practice courses.