2005
DOI: 10.1007/s00787-005-0446-y
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Teacher ratings of mental health among school children in Kinshasa, Democratic Republic of Congo

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Cited by 77 publications
(113 citation statements)
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References 19 publications
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“…***p < .001. (Muris et al, 2003) but not among Norwegian adolescents (Ronning et al, 2004), American parents (Dickey & Blumberg, 2004), Arab children, parents and teachers living in the Gaza strip (Thabet et al, 2000), and Congolese teachers (Kashala et al, 2005). These inconsistencies in findings may be due to differences in methods (e.g., confirmatory vs. exploratory analysis) or to differences in the underlying constructs.…”
Section: Discussionmentioning
confidence: 98%
“…***p < .001. (Muris et al, 2003) but not among Norwegian adolescents (Ronning et al, 2004), American parents (Dickey & Blumberg, 2004), Arab children, parents and teachers living in the Gaza strip (Thabet et al, 2000), and Congolese teachers (Kashala et al, 2005). These inconsistencies in findings may be due to differences in methods (e.g., confirmatory vs. exploratory analysis) or to differences in the underlying constructs.…”
Section: Discussionmentioning
confidence: 98%
“…Other studies reports hyperactivity has been predominantly noted in younger age children including pre-school. 7,11,17 In fact, many a times predominance of the hyperactive symptoms leads to early consultation of ADHD child with a doctor. 7 A decreasing trend towards hyperactivity is seen as a process of aging in ADHD.…”
Section: Discussionmentioning
confidence: 99%
“…Median (range) age (in years) of the children was 13 (11)(12)(13)(14)(15)(16)(17). A total of 32/500 (6.4%, 95% CI; 4.5, 9) children were found to meet the criteria of ADHD based on response from the parents.…”
Section: Assessment Of Adhd In Childrenmentioning
confidence: 99%
“…Given that no previous psychometric evaluation of the SDQ has taken place in South Africa, the current study therefore aimed to: (i) examine the means, standard deviation, distribution and internal consistency of the SDQ-S in a representative sample of adolescent boys and girls; (ii) compare gender differences in the above psychometric properties; (iii) determine the proportion of boys and girls who scored in the 'normal', 'borderline' and 'abnormal range' of SDQ-S subscales based on UK norms, and, if required, to generate South African cut-off scores; (iv) compare mean SDQ-S scores of the South African sample to previously reported normative data for SDQ-S scores in UK, Australian and Chinese samples; and (v) determine whether the South African SDQ-S data would fit the five-factor structure of the original UK SDQ-S. We hypothesised that significant differences on the basis of gender will exist in SDQ-S scores as found in previous studies (Becker et al 2015;Kremer et al 2015), hypothesised that South African cut-off scores may be required, as reported in other studies from LMICs (Kashala et al 2005;Menon et al 2007;Bakare et al 2010;Cortina et al 2013), and that there would be only partial support for the five-factor structure, as reported elsewhere (Rønning et al 2004;Richter et al 2011;Stevanovic et al 2014). We did not hypothesise any specific patterns of similarities or differences between the South African, UK, Australian and Chinese data, but were keen to explore the crosscountry potential of the instrument.…”
Section: Introductionmentioning
confidence: 90%