2016
DOI: 10.1371/journal.pone.0164790
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Maltreatment and Mental Health Outcomes among Ultra-Poor Children in Burkina Faso: A Latent Class Analysis

Abstract: ObjectivesResearch about the mental health of children in Francophone West Africa is scarce. This paper examines the relationships between adverse childhood experiences, including exposure to violence and exploitation, and mental health outcomes among children living in ultra-poverty in rural Burkina Faso.MethodsThis paper utilizes baseline data collected from 360 children ages 10–15 and 360 of their mothers recruited from twelve impoverished villages in the Nord Region of Burkina, located near the Sahel Deser… Show more

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Cited by 26 publications
(26 citation statements)
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“…Furthermore, some scholars have argued that children who had not been exposed to any abuse demonstrated significantly higher self-esteem and lower symptoms of trauma (Ismayilova et al 2016). This is an indication that exposure to abuse among children could determine their self-esteem.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, some scholars have argued that children who had not been exposed to any abuse demonstrated significantly higher self-esteem and lower symptoms of trauma (Ismayilova et al 2016). This is an indication that exposure to abuse among children could determine their self-esteem.…”
Section: Discussionmentioning
confidence: 99%
“…16 This is a public health problem that requires investigation and attention because the burden and impact of ACEs are more pronounced in low-and middle-income countries (LMIC). 17,18 1.53 (95% CI: 1.24-2.87)] (Table 5). Egypt had the highest occurrence of emotional abuse.…”
Section: Introductionmentioning
confidence: 99%
“…Using a statistical reduction technique, household items (eg, TV, bicycle), quality of housing construction (eg, concrete floor), and access to services (eg, electricity) are scaled into a single one-dimensional index. This asset-based indicator has become the key variable used in LMICs to assess economic gradients in education (Filmer & Pritchett, 1999;Lachaud, LeGrand, & Kobiané, 2017), nutrition (Balarajan, Ramakrishnan, Özaltin, Shankar, & Subramanian, 2011;Gwatkin et al, 2007;Mayén, Marques-Vidal, Paccaud, Bovet, & Stringhini, 2014), physical health (Hosseinpoor, Parker, Tursan d'Espaignet, & Chatterji, 2012;Hruschka, Gerkey, & Hadley, 2015;Phaswana-Mafuya, Peltzer, Chirinda, Musekiwa, & Kose, 2013), mortality (Ezeh, Agho, Dibley, Hall, & Page, 2015;Mustafa, 2008), and mental health (Ismayilova, Gaveras, Blum, Tǒ-Camier, & Nanema, 2016). However, this uni-dimensional index really only captures household poverty through livelihoods associated with the cash economy (Filmer & Pritchett, 1999).…”
Section: Assessing Poverty As Predictive Of Mental Healthmentioning
confidence: 99%