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1.
Niger J Clin Pract ; 26(4): 383-390, 2023 Apr.
Article in English | MEDLINE | ID: mdl-37203100

ABSTRACT

Background: Internet addiction has negative effects on adolescents. These range from psychological and social impediments to school absenteeism. Aim: To ascertain the pattern of Internet addiction and the factors that predict Internet addiction among secondary school adolescents in southeast Nigeria. Subjects and Methods: This was a cross-sectional study that involved 796 secondary school adolescents drawn from six secondary schools in Enugu, Nigeria. The data were analyzed using IBM Statistical Package for Social Sciences (SPSS) software. Results: The highest proportion of the respondents (36.3%) had a moderate level of Internet addiction, while the least proportion (2.1%) had severe dependence on the Internet. Adolescents who were less than 15 years of age have 1.1 odds of having Internet addiction when compared to those who were 20 years and above (AOR = 1.1; 95% CI: 0.4-2.8). The respondents who were of the low socioeconomic class were 1.2 times more likely to have Internet addiction when compared with those in the high socioeconomic class (AOR = 1.2; 95% CI: 0.9-1.7). About 20.1% of adolescents were always depressed when they are not using the Internet, while 16.3% of adolescents who were addicted to the Internet developed insomnia. Conclusion: There is a rising prevalence of Internet addiction among secondary school adolescents. Younger adolescents tend to be more addicted to the Internet than their older counterparts. A small number of them had severe Internet addiction. A subpopulation of adolescents who were addicted to the Internet presents with depression and sleep disorders.


Subject(s)
Internet Addiction Disorder , Schools , Humans , Adolescent , Young Adult , Adult , Nigeria/epidemiology , Cross-Sectional Studies , Internet , Surveys and Questionnaires
2.
Burns ; 48(2): 432-439, 2022 03.
Article in English | MEDLINE | ID: mdl-34001387

ABSTRACT

Burn injuries contribute significantly to childhood morbidity and mortality. This study was designed to document the pattern of presentation and outcome of pediatric burn injury in Enugu. METHODS: All children with burn injuries over a 7-year period (June 2011 to May 2018) and were managed at three tertiary health institutions, were studied. Information including their socio-demographics, clinical features and treatment outcome were obtained and analyzed using the Statistical Package for Social Sciences (SPSS) version 17.0. RESULTS: 198 out of 201 records were available for analysis. Most (186; 93.9%) burn injuries occurred at home. Hot liquid (112; 56.7%) was the commonest cause of burn injury. A lot of substances were used topically for first aid, raw eggs (52; 31%) being the commonest. The outcome had significant association with cause of injury, depth of injury, total burn surface area (TBSA), and inhalation injury. Most were safely discharged home while a total of thirteen (6.6%) children died. LA50 was 54.87%, while the maximum TBSA salvaged was 65%. CONCLUSION: Burn injuries in children in this environment remain a serious challenge in the face of widespread lack of awareness regarding safe practices in handling hot and flammable items at home.


Subject(s)
Burns , Burns/epidemiology , Burns/etiology , Burns/therapy , Child , First Aid , Humans , Nigeria/epidemiology , Retrospective Studies
3.
Niger J Clin Pract ; 23(9): 1229-1236, 2020 Sep.
Article in English | MEDLINE | ID: mdl-32913161

ABSTRACT

AIMS: This study was carried out to evaluate the degree of accuracy of age-based weight estimation methods in assessing the weight of the Nigerian child. METHOD: The weights of one thousand, four hundred and fifty-six (1,456) children were measured and compared with the updated Advanced Paediatric Life Support (APLS), Best guess, Nelson and Luscombe & Owen methods. RESULT: The updated APLS, Nelson and Luscombe & Owen methods underestimated the weights in younger children while overestimating in older ones. Best guess overestimated the weights across all ages. The Nelson formula had the best agreement within 10% and 20% of the measured weights among all methods. A linear regression analysis produced an equation for weight estimation: weight (W) = 2.058 Y + 9.925, where W is weight in kilogram and Y is the age in years. CONCLUSION: None of the weight estimation formulae assessed was entirely accurate in our study, though the Nelson method showed superior agreement.


Subject(s)
Anthropometry/methods , Body Weight , Adolescent , Aged , Child , Child, Preschool , Family , Female , Humans , Infant , Male , Nigeria
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