Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and healt... by Daniel Niguse Mamo, Agmasie Damtew Walle, Eden Ketema Woldekidan, Jibril Bashir Adem, Yosef Haile Gebremariam, Meron Asmamaw Alemayehu, Ermias Bekele Enyew, Shimels Derso Kebede

“…From fifteen models, the MLP Classifier (f1 score = 0.9548, AUC = 0.99), Random Forest Classifier (f1 score = 0.9543, AUC = 0.98), and Bagging Classifier (f1 score = 0.9498, AUC = 0.98) performed excellently, with a strong ability to differentiate between classes. The Region, residence, maternal education, religion, wealth index, health insurance status, and place of delivery are identified as contributing factors that predict postnatal care utilization. …”
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Impact of sociodemographic factors, sleep, physical activity, and sedentary lifestyle on central obesity in schoolchildren aged 6–12 years in Marrakech, Morocco by Youssef Lahyani, Latifa Adarmouch, Majda Sebbani, Ouassim Mansoury, Hicham EL Mouaddib, Mohamed Amine

“…The children's age, sex, place of residence, family structure, phone ownership, mother's literacy, and being a single child were significantly associated with BMI (p < 0.05). …”
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Prevalence and factors associated with water, sanitation and hygiene (WASH) facilities deprivation among children in Nigeria by Chima Victor, Joseph Ayodeji Kupoluyi, Funmilola Folasade Oyinlola, Victor Ojoajogwu Sule

“…Specifically, the education of the household head and wealth index are associated with access to sanitation facilities, place of residence is significantly associated with availability of water while access to hygiene facilities is significantly associated with the sex of the household head. …”
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Determinants of children ever born among ever-married women in Bangladesh: evidence from the Demographic and Health Survey 2017–2018 by Atikur Rahman, Zakir Hossain, Mohammad Lutfor Rahman, Enamul Kabir

“…Age at first marriage (p&lt;0.001, OR 0.74, 95% CI 0.666 to 0.825), age at first birth (p&lt;0.001, OR0.54, 95% CI 0.480 to 0.607), place of residence (p&lt;0.001, OR 0.79, 95% CI 0.712 to 0.872), exposure of media (p&lt;0.001, OR 0.71, 95% CI 0.647 to 0.768), religion (p&lt;0.001, OR 1.47, 95% CI 1.277 to 1.690), husband’s desire more child (p&lt;0.001, OR 1.60, 95% CI 1.428 to 1.784), women empowerment (p&lt;0.001, OR 1.19, 95% CI 1.075 to 1.3) and wealth index (p&lt;0.001, OR1.61, 95% CI 0.435 to 1.796) were found to be statistically significant determinants of the number of CEB among ever-married women. …”
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Physical and emotional abuse with internet addiction and anxiety as a mediator and physical activity as a moderator by Jinyin Peng, Yang Liu, Xubo Wang, Zhenxiu Yi, Lei Xu, Fulan Zhang

“…After controlling for participants’ gender, grade level, and place of residence, only-child status, the study findings revealed that physical-emotional abuse significantly and positively predicted internet addiction and anxiety among university students (β = 0.157, β = 0.271, p < 0.001). …”
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Equal Placement between choice and imposition by Francesca Marielli, Chiara Giannini, Sofia Marini Balestra

“…Advocates argue that equal time arrangements can disrupt the stability crucial for healthy child development, despite increasing court and international support. …”
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Un grin de jeunesse ? by Anna Dessertine

“…It begins with an analysis of the status games that take place in grins, games in which every day, these men replay the statuses of firstborn and cadet (a child who is not firstborn), in interactions between individuals who consider themselves peers. …”
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Foreword by Kammila Naidoo

“…By the middle of this century, more than 40 percent of children younger than 5 years will be resident here. It is often pointed out that a child’s life chances are shaped by the place of birth, year of birth, and privileges of the natal familial context – in this regard, class, race, nationality, regionality, and gender are some of the key predictors of a child’s future. …”
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Ethnic and racial discrimination in maternal health care in Mexico: a neglected challenge in the search for universal health coverage by Edson Serván-Mori, Sergio Meneses-Navarro, Rocío García-Díaz, Diego Cerecero-García, David Contreras-Loya, Octavio Gómez-Dantés, Arachu Castro

“…Findings Indigenous women had lower education, labor market participation, and socioeconomic position, higher parity, and more rural, poorer state residence than non-Indigenous women. They faced significant health coverage loss due to the dismantling of Seguro Popular, a public health insurance mechanism in place until the end of 2019, right before the start of the Covid pandemic. …”
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Three in four children age 12–23 months missed opportunities for vaccination in Sub-Saharan African countries: a multilevel mixed effect analysis of demographic health and surveys... by Melak Jejaw, Tesfahun Zemene Tafere, Misganaw Guadie Tiruneh, Asebe Hagos, Getachew Teshale, Mikias Mered Tilahun, Wubshet D. Negash, Kaleb Assegid Demissie

“…Children’s age, maternal age, marital status, education, antenatal care visit, health insurance utilization, sex of household head, religion, place of delivery, residence, media exposure, distance to reach health facility, community wealth status, community educational status, and human development index of the countries were significantly associated with MOV. …”
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A Rare Case of Paediatric Traumatic Intraperitoneal Urinary Bladder Rupture by LS Prabhanjan, Mangesh Hivre, Dilip Gupta, Aarhata Pramod Singh

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Children's digital privacy on fast-food and dine-in restaurant mobile applications. by Christine Mulligan, Grace Gillis, Lauren Remedios, Christopher Parsons, Laura Vergeer, Monique Potvin Kent

“…Children used the app(s) for 5-10 minutes and placed food orders. Parents submitted a Data Access Request (DAR) on their child's behalf to the food company. …”
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