Overweight and Obesity in Finnish Children by Parents’ Socioeconomic Position—A Registry-Based Study by Päivi Mäki, Esko Levälahti, Susanna Lehtinen-Jacks, Susanna Lehtinen-Jacks, Tiina Laatikainen, Tiina Laatikainen

“…Objectives: To examine associations between parents’ socioeconomic position (SEP) and child overweight and obesity, using registry data.Methods: Data (final n = 194,423) on children’s height, weight and parents’ SEP were drawn from the national Register of Primary Health Care Visits (Avohilmo) and Statistics Finland. Risk ratios for bernoulli-distributed overweight (RROW) and obesity (RROB) according to SEP were estimated using generalized linear models and using a log -link.Results: The risk for obesity was lower in boys from high-income families (RROB 0.76), for overweight and obesity was lower in boys (RROW 0.72, RROB 0.58) and girls (RROW 0.72, RROB 0.54) with highly educated fathers, in boys (RROW 0.79, RROB 0.58) and girls (RROW 0.78, RROB 0.56) with high-educated mothers and in boys (RROW 0.85, RROB 0.77) and girls (RROW 0.80, RROB 0.69) living in urban areas, as compared to low-income families, low-educated parents, and rural residence, respectively.Conclusion: The risk of overweight and obesity was increased in children with low SEP or rural residence. …”
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Spatial distribution and associated factors of community based health insurance coverage in Ethiopia: further analysis of Ethiopian demography and health survey, 2019 by Bewuketu Terefe, Tewodros Getaneh Alemu, Masresha Asmare Techane, Chalachew Adugna Wubneh, Nega Tezera Assimamaw, Getaneh Mulualem Belay, Tadesse Tarik Tamir, Addis Bilal Muhye, Destaye Guadie Kassie, Amare Wondim, Bethelihem Tigabu Tarekegn, Mohammed Seid Ali, Beletech Fentie, Almaz Tefera Gonete, Berhan Tekeba, Selam Fisiha Kassa, Bogale Kassahun Desta, Amare Demsie Ayele, Melkamu Tilahun Dessie, Kendalem Asmare Atalell

“…Methods A total of 8,663 households aged 15–95 years old were included in this study. The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of community based health insurance. …”
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Testing Poisson Binomial Distributions by Acharya, Jayadev, Daskalakis, Konstantinos

“…A Poisson Binomial distribution over n variables is the distribution of the sum of n independent Bernoullis. We provide a sample near-optimal algorithm for testing whether a distribution P supported on {0, …, n} to which we have sample access is a Poisson Binomial distribution, or far from all Poisson Binomial distributions. …”
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