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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.
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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.
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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.
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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.
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OBJECTIVE: To explore the relationship between anemia and childhood growth among preschool children. METHODS: The data were from the records of Children Follow-up Study Project carried out by Institute of Reproductive and Child Health of Peking University and the records of related perinatal health care surveillance system in 21 counties/cities of Hebei, Jiangsu and Zhejiang provinces. These children were divided into three groups based on the hemoglobin concentration-non-anemia group, mild anemia group and middle & grave anemia group. The body height, body weight, BMI, HAZ, WAZ, stunting rate and underweight rate of each group were compared. RESULTS: The body height and body weight of each anemia group were significantly lower than those of non-anemia group. For each group of the anemic boys at the ages of 3-, 4-, 5-, 6-7 years, their body heights were averagely shorter by 0.65, 0.69, 0.94 and 1.42 cm and their body weights were averagely lighter by 0.22 kg, 0.18 kg, 0.38 kg, 0.63 kg than those of non-anemic boys respectively. As for anemic girls at the ages of 3-, 4-, 5-, 6-7 years, the body height gaps were 0.93, 0.74, 0.88 and l.7lcm and body weight gaps were 0.29, 0.22, 0.35 and 0.78 kg respectively. The anemic children were at higher risk for stunting (OR = 1.37) and underweight (OR = 1.32) after adjusting for birth weight, urban & country district, maternal height, maternal BMI at the first prenatal visit, maternal education and occupation. CONCLUSION: There was a significant correlation of growth retardation with childhood anemia, and more efforts should be made to prevent and treat childhood anemia in order to promote children growth.
Subject(s)
Anemia/epidemiology , Body Mass Index , Child Development , Body Height , Body Weight , Child , Child, Preschool , China/epidemiology , Female , Humans , Male , PrevalenceABSTRACT
<p><b>OBJECTIVE</b>To study the prevalence of cerebral palsy (here in after referred to CP) in children aged 1 - 6 in Guangxi, China, and its epidemiologic characteristics and relevant risk factors.</p><p><b>METHODS</b>Investigations on the prevalence and etiology of CP in children at ages of 1 - 6 were conducted in Nanning, Hengxian and Qinzhou of Guangxi from June to December in 1998, with a cluster sampling.</p><p><b>RESULTS</b>Totally, 150 806 children aged 1 - 6 were investigated in Nanning, Hengxian and Qinzhou of Guangxi, with 89 418 boys and 61 388 girls. Among them, 193 children were diagnosed as CP, with a prevalence rate of 1.28 per thousand, higher in boys (136 cases, 1.52 per thousand ) than in girls (57 cases, 0.93 per thousand ), with statistical significance (chi(2) = 9.536 7, P = 0.02). Logistic regression analysis showed that risk factors for CP were children who could not cry after birth (neonatal asphyxia), Apgar score less than eight, delivery at lower level of maternity hospital, number of mother's gravidity, no prenatal checks for mothers, and taking antipyretics and preserved food with salt during pregnancy.</p><p><b>CONCLUSIONS</b>Prevalence of CP in children of Guangxi was at a lower level in comparison with that in other areas at home and abroad, which, maybe, was related with the lower neonatal survival and higher infant mortality.</p>
