2019
DOI: 10.1007/s10389-019-01165-2
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Is hunger associated with truancy among in-school adolescents in Tanzania? Evidence from the 2015 Global School-based Health Survey

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Cited by 6 publications
(8 citation statements)
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“…Of these, 76 estimates for 68 countries across 17 studies were included in meta-analysis ( fig 3 , fig 4 , fig 5 , fig 6 ), nearly all from the Global School-Based Student Health Survey. Five meta-analyses were conducted, one for each of the following WHO regions: Africa (five studies, 57 58 59 60 61 11 countries), the Americas (five studies, 62 63 64 65 66 26 countries), Eastern Mediterranean (two studies, 58 67 10 countries), South-East Asia (five studies, 58 68 69 70 71 nine countries), and Western Pacific (four studies, 58 71 72 73 12 countries). A meta-analysis was not performed for Europe owing to fewer comparable measures across a small number of countries with prevalence data for this age group.…”
Section: Resultsmentioning
confidence: 99%
“…Of these, 76 estimates for 68 countries across 17 studies were included in meta-analysis ( fig 3 , fig 4 , fig 5 , fig 6 ), nearly all from the Global School-Based Student Health Survey. Five meta-analyses were conducted, one for each of the following WHO regions: Africa (five studies, 57 58 59 60 61 11 countries), the Americas (five studies, 62 63 64 65 66 26 countries), Eastern Mediterranean (two studies, 58 67 10 countries), South-East Asia (five studies, 58 68 69 70 71 nine countries), and Western Pacific (four studies, 58 71 72 73 12 countries). A meta-analysis was not performed for Europe owing to fewer comparable measures across a small number of countries with prevalence data for this age group.…”
Section: Resultsmentioning
confidence: 99%
“…It was dichotomized into "1"(if the respondent missed school at least one day without permission) and "0" (if the respondent did not miss school without permission). The outcome variable was recoded on a dichotomous scale, consistent with previous studies on truancy using GSHS data 23,25,[45][46][47] .…”
Section: Suicidal Attempt (Outcome Variable)mentioning
confidence: 99%
“…For example, the occurrence of truancy was as high as 59% in Zambia (Muula et al 2012); 46% in Liberia (Onyeaka et al 2020); 41% in Laos, Southeast Asia (Pengpid and Peltzer 2019); and 37% apiece in Bangladesh (Hasan et al 2023), Mozambique (Seidu 2019), and 37% in Ghana (Onyeaka et al 2020). Additionally, 32% in Indonesia (WHO 2007;Pengpid and Peltzer 2017), 30-31% in Malaysia (Shah et al 2012;Yoep et al 2016), 26% in Tanzania (Seidu et al 2021), 25% in Pakistan (Hasan et al 2023), 23% in Benni (Onyeaka et al 2020), 22% in Swaziland (Siziya et al 2007), 18% in Thailand (WHO 2008), 15% in Afghanistan (Hasan et al 2023), 15% in Vietnam (Pengpid and Peltzer 2017), and 11% in the USA reported adolescent truancy (Maynard et al 2017;Vaughn et al 2013). The prevalence of truancy in low-and middle-income countries is higher because students from socio-economically disadvantaged schools are likelier to miss school than those in advantaged schools (OECD 2019;Sosu et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The constructs of the SEM and BPS informed the selection of explanatory variables of adolescent PE truancy in Benin, such that explanatory variables in this study were grouped into demographic, biological/physical, psychological, and social factors. Empirical studies have found that in-school adolescents' truancy is associated with demographics (gender, age, grade level), biological/physical factors (hunger, alcohol use, marijuana use, sedentary lifestyle), psychological factors (suicidal ideation, loneliness, worry), and social factors (truancy from school, physical attacks, parental supervision of homework, parental understanding and support) Peltzer 2017, 2019;Seidu 2019;Seidu et al 2019Seidu et al , 2021.…”
Section: Introductionmentioning
confidence: 99%