Heat shocks, maize yields, and child height in Tanzania

Food Security ◽  
2021 ◽  
Author(s):  
S. Block ◽  
B. Haile ◽  
L. You ◽  
D. Headey
2021 ◽  
pp. 089011712110291
Author(s):  
Puneet Kaur Chehal ◽  
Livvy Shafer ◽  
Solveig Argeseanu Cunningham

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.


Nature Food ◽  
2020 ◽  
Vol 1 (11) ◽  
pp. 729-735 ◽  
Author(s):  
David B. Lobell ◽  
Jillian M. Deines ◽  
Stefania Di Tommaso

2012 ◽  
Vol 10 (1) ◽  
pp. 54-73 ◽  
Author(s):  
Emmanuel Skoufias ◽  
Katja Vinha

1996 ◽  
Vol 33 (3) ◽  
pp. 281-294 ◽  
Author(s):  
R. B. Jones ◽  
J. W. Wendt ◽  
W. T. Bunderson ◽  
O. A. Itimu

Heliyon ◽  
2021 ◽  
Vol 7 (8) ◽  
pp. e07881
Author(s):  
M. Ndung'u ◽  
L.W. Ngatia ◽  
R.N. Onwonga ◽  
M.W. Mucheru-Muna ◽  
R. Fu ◽  
...  

2010 ◽  
Vol 70 (1) ◽  
pp. 83-117 ◽  
Author(s):  
Elizabeth Brainerd

This article uses anthropometric and archival data to reassess the standard of living in the Soviet Union. In the prewar period, the population was small in stature and sensitive to the political and economic upheavals experienced in the country. Significant improvements in child height, adult stature, and infant mortality were recorded from approximately 1945 to 1970. While this period of physical growth was followed by stagnation in heights, the physical growth record of the Soviet population compares favorably with that of other European countries at a similar level of development in this period.


2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Terence Epule Epule ◽  
Driss Dhiba ◽  
Daniel Etongo ◽  
Changhui Peng ◽  
Laurent Lepage

AbstractIn sub-Saharan Africa (SSA), precipitation is an important driver of agricultural production. In Uganda, maize production is essentially rain-fed. However, due to changes in climate, projected maize yield targets have not often been met as actual observed maize yields are often below simulated/projected yields. This outcome has often been attributed to parallel gaps in precipitation. This study aims at identifying maize yield and precipitation gaps in Uganda for the period 1998–2017. Time series historical actual observed maize yield data (hg/ha/year) for the period 1998–2017 were collected from FAOSTAT. Actual observed maize growing season precipitation data were also collected from the climate portal of World Bank Group for the period 1998–2017. The simulated or projected maize yield data and the simulated or projected growing season precipitation data were simulated using a simple linear regression approach. The actual maize yield and actual growing season precipitation data were now compared with the simulated maize yield data and simulated growing season precipitation to establish the yield gaps. The results show that three key periods of maize yield gaps were observed (period one: 1998, period two: 2004–2007 and period three: 2015–2017) with parallel precipitation gaps. However, in the entire series (1998–2017), the years 2008–2009 had no yield gaps yet, precipitation gaps were observed. This implies that precipitation is not the only driver of maize yields in Uganda. In fact, this is supported by a low correlation between precipitation gaps and maize yield gaps of about 6.3%. For a better understanding of cropping systems in SSA, other potential drivers of maize yield gaps in Uganda such as soils, farm inputs, crop pests and diseases, high yielding varieties, literacy, and poverty levels should be considered.


1978 ◽  
Vol 104 (2) ◽  
pp. 179-194
Author(s):  
J.W. Hugh Barrett ◽  
Gaylord V. Skogerboe

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