Child undernutrition in affluent societies: what are we talking about?

In this paper we set out to explore the prevalence of child undernutrition found in community studies in affluent societies, but a preliminary literature review revealed that, in the absence of a gold standard method of diagnosis, the prevalence largely depends on the measure, threshold and the growth reference used, as well as age. We thus go on to explore describe the common clinical ‘syndromes’ of child undernutrition: wasting, stunting and failure to thrive (weight faltering) and how we have used data from two population-based cohort studies, this paper to explore how much these different ‘syndromes’ overlap and the extent to which they reflect true undernutrition. This analysis revealed that when more than one definition is applied to the same children, a majority are below the lower threshold for only one measure. However, those with both weight faltering and low BMI in infancy, go on in later childhood to show growth and body composition patterns suggestive of previous undernutrition. In older children there is even less overlap and most children with either wasting or low fat seem to be simply growing at one extreme of the normal range. We conclude that in affluent societies the diagnosis of undernutrition is only robust when it relies on a combination of both, that is decline in weight or BMI centile and wasting

Prevalence and Determinants of Obesity among Primary School Children in Dar es Salaam, Tanzania.

Childhood obesity has increased dramatically and has become a public health concern worldwide. Childhood obesity is likely to persist through adulthood and may lead to early onset of NCDs. However, there is paucity of data on obesity among primary school children in Tanzania. This study assessed the prevalence and determinants of obesity among primary school children in Dar es Salaam. A cross sectional study was conducted among school age children in randomly selected schools in Dar es Salaam. Anthropometric and blood pressure measurements were taken using standard procedures. Body Mass Index (BMI) was calculated as weight in kilograms divided by the square of height in meters (kg/m2). Child obesity was defined as BMI at or above 95th percentile for age and sex. Socio-demographic characteristics of children were determined using a structured questionnaire. Logistic regression was used to determine association between independent variables with obesity among primary school children in Dar es Salaam. A total of 446 children were included in the analysis. The mean age of the participants was 11.1±2.0 years and 53.1% were girls. The mean BMI, SBP and DBP were 16.6±4.0 kg/m2, 103.9±10.3mmHg and 65.6±8.2mmHg respectively. The overall prevalence of child obesity was 5.2% and was higher among girls (6.3%) compared to boys (3.8%). Obese children had significantly higher mean values for age (p=0.042), systolic and diastolic blood pressures (all p<0.001). Most obese children were from households with fewer children (p=0.019) and residing in urban areas (p=0.002). Controlling for other variables, age above 10 years (AOR=3.3, 95% CI=1.5-7.2), female sex (AOR=2.6, 95% CI=1.4-4.9), urban residence (AOR=2.5, 95% CI=1.2-5.3) and having money to spend at school (AOR=2.6, 95% CI=1.4-4.8) were significantly associated with child obesity. The prevalence of childhood obesity in this population was found to be low. However, children from urban schools and girls were proportionately more obese compared to their counterparts. Primary preventive measures for childhood obesity should start early in childhood and address socioeconomic factors of parents contributing to childhood obesity

Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards

<p>Abstract</p> <p>Background</p> <p>The child growth standards released by the World Health Organization (WHO) in 2006 have several technical advantages over the previous 1977 National Center for Health Statistics (NCHS)/WHO reference and are recommended for international comparisons and secular trend analysis of child malnutrition. To obtain comparable data over time, earlier surveys should be reanalyzed using the WHO standards; however, reanalysis is impossible for older surveys since the raw data are not available. This paper provides algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO standards.</p> <p>Methods</p> <p>Sixty-eight surveys from the WHO Global Database on Child Growth and Malnutrition were analyzed using the WHO standards to derive estimates of underweight, stunting, wasting and overweight. The prevalences based on the NCHS reference were taken directly from the database. National/regional estimates with a minimum sample size of 400 children were used to develop the algorithms. For each indicator, a simple linear regression model was fitted, using the logit of WHO and NCHS estimates as, respectively, dependent and independent variables. The resulting algorithms were validated using a different set of surveys, on the basis of which the point estimate and 95% confidence interval (CI) of the predicted WHO prevalence were compared to the observed prevalence.</p> <p>Results</p> <p>In total, 271 data points were used to develop the algorithms. The correlation coefficients (R²) were all greater than 0.90, indicating that most of the variability of the dependent variable is explained by the fitted model. The average difference between the predicted WHO estimate and the observed value was <0.5% for stunting, wasting and overweight. For underweight, the mean difference was 0.8%. The proportion of the 95% CI of the predicted estimate containing the observed prevalence was above 90% for all four indicators. The algorithms performed equally well for surveys without the entire age coverage 0 to 60 months.</p> <p>Conclusion</p> <p>To obtain comparable data concerning child malnutrition, individual survey data should be analyzed using the WHO standards. When the raw data are not available, the algorithms presented here provide a highly accurate tool for converting existing NCHS estimates into WHO estimates.</p

What’s in an “x”? An Exchange about the Politics of “Latinx”

\u27From its origins in queer community conversations online, the term Latinx continues to gain wider circulation in various publics. This scholarly exchange examines the language and other politics of choosing to employ or to reject the x signifier. To engage a variety of perspectives on this topic, we invited five scholars with expertise in language, sexuality, gender, and latinidad from the continental United States and Puerto Rico to participate in an online exchange about what the x linguistic marker enables and constrains. Contributors do not always agree, and the tensions that arise point to broader discussions and strains unfolding beyond the pages of this journal. Ultimately, this exchange seeks to enliven ongoing conversations and to spark new ones among those interested in the politics, intersectional social locations, and exigencies implicated in discussions about Latinx and similar linguistic choices. As this exchange elucidates, the answer to what\u27s in an \u27x\u27? depends on whom you ask

Energy Colonialism Powers the Ongoing Unnatural Disaster in Puerto Rico

On September 20, 2017, Hurricane María made landfall in Puerto Rico. Blasting the Caribbean archipelago with 155-mile/h winds, this, in many ways, unnatural disaster exposed the brutal consequences of energy colonialism and an extractivist economy, as well as ongoing and increasing advocacy for decentralized solar infrastructure by many local residents and other renewables supporters. This paper argues that acknowledging colonial power relations and their consequences is essential for studying the interplay of energy systems, environments, and actors. To support this claim, this essay outlines Puerto Rico’s history as a US colony by focusing on key policies and their implications; examines openings for and barriers to decentralized, community solar in Puerto Rico; and concludes by discussing future research directions on just energy transitions and the imperative of uprooting colonialism and agitating for community self-determination and energy justice in these transformations

For many in Puerto Rico, ‘energy dominance’ is just a newname for US colonialism

The Trump administration has made “achieving American energy dominance” a central policy goal. President Trump asserts that “energy dominance” requires expanding nuclear development, increasing coal and natural gas exports, building transnational pipelines and accessing offshore oil and gas deposits. These efforts, Trump contends, will maximize the nation’s “boundless capacity” for energy production, including spreading U.S. fossil fuels around the globe, to showcase its independence from foreign oil