Dynamics of the double burden of malnutrition in Guatemala: a secondary data analysis of the demographic and health surveys from 1998-2015.

OBJECTIVE: We estimated the prevalence and time trends of the double burden of malnutrition (DBM) in Guatemala and explored its occurrence based on socio-demographic factors. STUDY DESIGN: This was a secondary data analysis using information from four Demographic and Health Surveys covering the period 1998-2015. METHODS: The unit of analysis was the household within which information was gathered from women 18-49 years and their children, 6-59 months. The main outcome was the prevalence of any DBM in the household (co-existence of undernutrition and overnutrition in a woman, her children or both). We estimated the prevalence of any DBM by survey and analysed time trends. Stepwise logistic regression was used to explore the occurrence of DBM and socio-demographic factors. RESULTS: We analysed 39,749 households across all surveys. The prevalence of any DBM was 25.3% (95%CI: 22.1-28.7) in 1998-99, 23.8% (22.0-25.8) in 2002, 25.9% (24.3-27.5) in 2008-09 and 24.2% (22.9-25.5) in 2014-15, with no significant change over time (P = 0.782). Characteristics associated with lower odds of any DBM were rural residence, female-headed household, wealth and women's secondary education. Higher odds were seen for households with electricity, women >25y, indigenous and with >2 children. CONCLUSION: Our findings revealed that a quarter of Guatemala's households suffer from DBM, which has remained unchanged for 17 years. Interventions should prioritise urban areas, households of lower socio-economic status and those less educated. To increase awareness of policymakers of this pressing public health concern, further research on DBM could be strengthened by prospective study designs, integrating all household members and expanding the types of malnutrition.

Using multi-country household surveys to understand who provides reproductive and maternal health services in low- and middle-income countries: a critical appraisal of the Demographic and Health Surveys.

OBJECTIVE: The Demographic and Health Surveys (DHS) are a vital data resource for cross-country comparative analyses. This study is part of a set of analyses assessing the types of providers being used for reproductive and maternal health care across 57 countries. Here, we examine some of the challenges encountered using DHS data for this purpose, present the provider classification we used, and provide recommendations to enable more detailed and accurate cross-country comparisons of healthcare provision. METHODS: We used the most recent DHS surveys between 2000 and 2012; 57 countries had data on family planning and delivery care providers and 47 countries had data on antenatal care. Every possible response option across the 57 countries was listed and categorised. We then developed a classification to group provider response options according to two key dimensions: clinical nature and profit motive. RESULTS: We classified the different types of maternal and reproductive healthcare providers, and the individuals providing care. Documented challenges encountered during this process were limitations inherent in household survey data based on respondents' self-report; conflation of response options in the questionnaire or at the data processing stage; category errors of the place vs. professional for delivery; inability to determine whether care received at home is from the public or private sector; a large number of negligible response options; inconsistencies in coding and analysis of data sets; and the use of inconsistent headings. CONCLUSIONS: To improve clarity, we recommend addressing issues such as conflation of response options, data on public vs. private provider, inconsistent coding and obtaining metadata. More systematic and standardised collection of data would aid international comparisons of progress towards improved financial protection, and allow us to better characterise the incentives and commercial nature of different providers.

[Adrenomyeloneuropathy as the cause of Addison's disease]. / Adrenomyeloneuropatia ako prícina Addisonovej choroby.

The authors describe adrenoleukodystrophy and adrenomyeloneuropathy found in one family. This disease is a less frequent cause of Addison's disease, but it is very serious from the prognostic aspect. The authors recommend therefore to examine very long chain fatty acid plasma levels in patients with adrenal insufficiency.