Anthropometric Data Analysis

THE WHO ANTHRO DATA ANALYSER The Anthro Data Analyzer is an online tool developed by the Department of Nutrition for Health and Development of the World Health Organization (WHO), which allows users to perform comprehensive analysis of anthropometric Data for children under five years of age based on weight and height. The analyses are based on the WHO Child Growth Standards. This online tool is designed to build country capacity on data analysis and reporting on child malnutrition outcomes. It aims to enhance good practice in Data collection, Data analysis, and reporting results. Data quality assessment report template with results from WHO Anthro Survey Analyser Analysis date: 2022-08-20 17:59:56 Link:https://worldhealthorg.shinyapps.io/anthro/ This report is a template that includes key data quality checks that can help to identify issues with the data and considerations when interpreting results. Other outputs that can be relevant to your analyses can be saved directly from the tool interactive dashboards and added to the report. For guidance on how to interpret the results, user should refer to the document “Recommendations for improving the quality of anthropometric data and its analysis and reporting” by the Working Group on Anthropometric Data Quality, for the WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring (TEAM). The document is available at www.who.int/nutrition/team, under “Technical reports and papers”. Recommended citation: Report template with results from WHO Anthro Survey Analyser Analysis date: 2022-08-20 18:00:40 Link:https://worldhealthorg.shinyapps.io/anthro

Exploring enablers and barriers to breast self-examination among women in the North Shewa Zone, Oromia, Ethiopia: a qualitative study

Abstract Breast cancer (BC) is the leading cause of cancer death worldwide and the second most common cancer overall. Breast self-examination (BSE) is one of the cheapest methods used for the early detection of BC in asymptomatic women. More than 90% of cases of BC can be detected by women themselves. This reality stresses the importance of BSE as the key BC detection mechanism. However, in Ethiopia, most of the BE studies were not conducted among women in the general population. Therefore, this study aimed to explore enablers and barriers to breast self-examination among women in the North Shewa Zone, Oromia. A descriptive qualitative study design was conducted from August 1, 2022, to September 30, 2022. Five focus group discussions (FGDs) were conducted with 46 women from one selected district in the North Shewa Zone, Oromia. A Purposive sampling technique was used to select participants for FGD. The audio-recorded data were transcribed verbatim to “Afan Oromo”. Transcribed data were translated into English. The data were manually coded into themes and analyzed manually by using inductive thematic analysis. The findings of the study were discussed under five themes of enablers and three themes of barriers. The five themes of enablers were knowledge about BC, knowledge about BSE, experience of BSE practice, perceived susceptibility, and perceived benefit of BSE practice. The four themes of barriers were low knowledge of BSE practice, misconceptions about BSE practice, and fear of detecting BC. These findings suggest that targeted health education programs, collaboration between healthcare providers and local stakeholders, and the availability of support services can play a crucial role in overcoming barriers and encouraging BSE practice for early detection of breast abnormalities

Metabolic syndrome among people living with HIV in Ethiopia: a systematic review and meta-analysis

Abstract Background Human Immuno-deficiency Virus (HIV) infection and antiretroviral therapy (ART) can cause metabolic disorders such as lipodystrophy, dyslipidemia, and insulin resistance, all of which are symptoms of metabolic syndrome (MetS). In Ethiopia, despite the existence of the primary studies, there was no pooled study conducted to summarize the country-level MetS among people living with HIV (PLHIV). Therefore, this study aims to estimate the pooled prevalence of MetS among PLHIV in Ethiopia. Methods A systematic search was conducted to retrieve studies on the prevalence of MetS among PLHIV in Ethiopia from PubMed, Google Scholar, Science Direct, Web of Sciences, HINARI, and other relevant sources. A random-effects model was used to estimate the MetS in this study. The overall variation between studies was checked by the heterogeneity test (I2). The Joanna Briggs Institute (JBI) quality appraisal criteria were used to assess the quality of the studies. The summary estimates were presented with forest plots and tables. Publication bias was checked with the funnel plot and Egger’s regression test. Results Overall, 366 articles were identified and evaluated using the PRISMA guidelines, with 10 studies meeting the inclusion criteria included in the final analysis. The pooled prevalence of MetS among PLHIV in Ethiopia was 21.7% (95% CI:19.36–24.04) using National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III) and 29.91% (95% CI: 21.54–38.28) using International Diabetes Federation (IDF) criteria. The lowest and highest prevalence of MetS were 19.14% (95%CI: 15.63–22.64) and 25.6% (95%CI: 20.18–31.08) at Southern Nation and Nationality People Region (SNNPR) and Addis Ababa, respectively. There was no statistical evidence of publication bias in both NCEP-ATP III and IDF pooled estimates. Conclusion MetS was common among PLHIV in Ethiopia. Therefore, optimizing regular screening for MetS components and promoting a healthy lifestyle is suggested for PLHIV. Furthermore, more study is contributory to identify the barriers to implementing planned interventions and meeting recommended treatment goals. Trial registration: The review protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO): CRD42023403786