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Background: Feeding practices highly influence the nutritional status of children between 6 and 23 months of age in developing countries, including Ethiopia. Therefore, this study was conducted to investigate the association of feeding practices and sociodemographic factors on underweight and wasting of children aged 6-23 months in Ethiopia.Methods: Data on 8003 children 6-23 months of age from four Ethiopia demographic and health surveys (EDHS) from 2000 to 2016 were analyzed using complex sample crosstabs for multivariate analysis. The association of feeding practices and sociodemographic factors on underweight and wasting was assessed via multiple logistic regression analyses adjusting the covariates. The outcomes were reported based on the adjusted odds ratios (ORs) with 95% confidence interval (CI).Results: Male children, very small at birth size children, diarrhea and fever, and short stature mother were risk factors for underweight and wasting (p < 0.05-0.001). Also, minimum dietary diversity, rich and middle-income families, vitamin A in the previous 6 months and antenatal care visits during pregnancy were protective factors for both underweight and wasting (p < 0.05-0.001). Minimum meal frequency was significantly related to lower odds of wasting (p < 0.001). Higher age of the child was significantly associated with underweight (p < 0.05-0.001); however, it was less likely wasted (p < 0.05-0.01).Conclusion: The present study depicted that among infant young children feeding core indicators except breastfed, all the other indicators did not met the required standard; however, sociodemographic factors on four health surveys from 2000 to 2016 were associated with underweight and wasting in children in Ethiopia.Lay Summary: • Over the years the prevalence of underweight in children aged 6-23 months in the country has shown a significant improvement from 40.2% in 2000 to 34.7% in 2005, then further reduced to 28.9% and 20.0% in 2011 and 2016 EDHS, respectively.• In the same manner, the prevalence of wasting in children aged 6-23 months in Ethiopia also observed improvement from 18.9% in 2000 to 16.7% in 2005, then further reduced to 15.4% and 13.9% in 2011 and 2016 EDHS, respectively.• Male children, very small at birth size children, diarrhea and fever (for the last 2 weeks), and short stature mother were risk factors for underweight and wasting.• Minimum dietary diversity, rich and middle-income families, vitamin A in the previous 6 months and antenatal care visits during pregnancy were protective factors for both underweight and wasting.• Minimum meal frequency was significantly related to lower odds of wasting.• Higher age of the children was significantly associated with underweight; however, less likely wasted. [ABSTRACT FROM AUTHOR]

To clarify the association of sleep duration with all-cause and cardiovascular mortality, and further estimate the population attributable fraction (PAF) for the 10-year risk of cardiovascular disease (CVD) due to inappropriate sleep duration among US adults, we included data of the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2014 by linkage to the National Death Index until December 31, 2015 in a prospective design. Cox proportional hazards models were used for multivariate longitudinal analyses. The Pooled Cohort Equations methods was adopted to calculate the predicted 10-year CVD risk. In the current study, sleep <5 h or longer than 9 h per day were significantly associated with elevated risks of all-cause mortality, and the multivariable-adjusted HRs across categories were 1.40 (95% CI, 1.14-1.71), 1.12 (95% CI, 0.91-1.38), 1 (reference), 1.35 (95% CI, 1.12-1.63), and 1.74 (95% CI, 1.42-2.12). Similarly, the HRs of cardiovascular mortality across categories were 1.66 (95% CI, 1.02-2.72), 1.15 (95% CI, 0.77-1.73), 1 (reference), 1.55 (95% CI, 1.05-2.29), and 1.81 (95% CI, 1.09-3.02). Under a causal-effect assumption, we estimated that 187 000 CVD events (PAF 1.8%, 0.9% to 2.3%) were attributable to short sleep duration and 947 000 CVD events (PAF 9.2%, 6.4% to 11.6%) were attributable to long sleep duration from 2018 to 2028. This study informed the potential benefit of optimizing the sleep duration for the primary prevention of CVD in a contemporary population., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Jin, Yang, Dai, Zhao, Zhang, Yin and Yan.)

Background: The early spatiotemporal transmission of COVID-19 remains unclear. The community to healthcare agencies and back to community (CHC) model was tested in our study to simulate the early phase of COVID-19 transmission in Wuhan, China., Methods: We conducted a retrospective study. COVID-19 case series reported to the Municipal Notifiable Disease Report System of Wuhan from December 2019 to March 2020 from 17 communities were collected. Cases from healthcare workers (HW) and from community members (CM) were distinguished by documented occupations. Overall spatial and temporal relationships between HW and CM COVID-19 cases were visualised. The CHC model was then simulated. The turning point separating phase 1 and phase 2 was determined using a quadratic model. For phases 1 and 2, linear regression was used to quantify the relationship between HW and CM COVID-19 cases., Results: The spatial and temporal distributions of COVID-19 cases between HWs and CMs were closely correlated. The turning point was 36.85±18.37 (range 15-70). The linear model fitted well for phase 1 (mean R 2 =0.98) and phase 2 (mean R 2 =0.93). In phase 1, the estimated [Formula: see text]s were positive (from 18.03 to 94.99), with smaller [Formula: see text]s (from 2.98 to 15.14); in phase 2, the estimated [Formula: see text]s were negative (from -4.22 to -81.87), with larger [Formula: see text]s (from 5.37 to 78.12)., Conclusion: Transmission of COVID-19 from the community to healthcare agencies and back to the community was confirmed in Wuhan. Prevention and control measures for COVID-19 in hospitals and among HWs are crucial and warrant further attention., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Few studies have been reported on alterations of trace elements (TE) in peritoneal dialysis patients. Our objective was to investigate and assess the characteristics of daily TE excretions in continuous ambulatory peritoneal dialysis (CAPD) patients. This cross-sectional study included 61 CAPD patients (nonanuric/anuric: 45/16) and 11 healthy subjects in Wuhan, China between 2013 and 2014. The dialysate and urine of patients and urine of healthy subjects were collected. The concentrations of copper (Cu), zinc (Zn), selenium (Se), molybdenum (Mo), and arsenic (As) in dialysate and urine were determined using inductively coupled plasma mass spectrometer (ICP-MS). Various clinical variables were obtained from automatic biochemical analyzer. Daily Cu, Zn, Se, and Mo excretions in nonanuric patients were higher than healthy subjects, while arsenic excretion in anuric patients was lower. A strong and positive correlation was observed between Se and Mo excretion in both dialysate (β = 0.869, p < 0.010) and urine (β = 0.968, p < 0.010). Furthermore, the clinical variables associated with Se excretion were found to be correlated with Mo excretion. Our findings indicated that nonanuric CAPD patients may suffer from deficiency of some essential TEs, while anuric patients are at risk of arsenic accumulation. A close association between Se and Mo excretion was also found., Competing Interests: The authors declare no conflict of interest.