Prevalence and Predictors of Depression among Adolescents in Ido Ekiti, South West Nigeria

Oderinde, Kehinde O.; Dada, Mobolaji Usman; Ogun, O.; Awunor, NS; Kundi, B. M.; Ahmed, Hagos; Tsuung, A. B.; Tanko, S. T.; Yusuff, Andinna Ananda

doi:10.4236/ijcm.2018.93017

Cited by 25 publications

(33 citation statements)

References 20 publications

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“…The prevalence of psychological stress was observed to be low among the in-school adolescents with only a few observed to have high prevalence of psychological stress. This was comparable to the study carried out by Oderinde et al (2018) and Omigbodun et al (2008) but very low compared to the study by Nagendra et al (2012) where the prevalence was determined to be 57.7%. This might be because of different instruments used and location in which the study was conducted.…”

Section: Discussionsupporting

confidence: 85%

“…This might be because of the rate of industrialisation in Ibadan compared to Ido-Ekiti. The study showed that majority of the respondents stated that their parents were married and from a monogamous family and they have a close relationship with their parents and siblings which was similar to the study conducted in Ido-Ekiti (Oderinde et al, 2018). This implies that other factors might have contributed to the prevalence of psychological stress among the respondents since majority reported that they have a cordial relationship with their parents and siblings.…”

Section: Discussionsupporting

confidence: 76%

“…Majority of the students were the firstborns and from an average home as like the study on adolescent learners in India (Manikanda and Devi, 2015). More than half of the respondents stated that their parents' highest form of education was tertiary which was contrary to the study conducted at Ido-Ekiti (Oderinde et al, 2018). This might be because of the rate of industrialisation in Ibadan compared to Ido-Ekiti.…”

Section: Discussioncontrasting

confidence: 57%

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Psychological Stress and its Associated Factors among In-school Adolescents in Ibadan, Nigeria

Adeleye

John-Akinola

2021

NJSA

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The study investigated psychological stress and its associated factors among in-school adolescents in Ibadan, Nigeria. This was a descriptive cross-sectional study that employed a multi-stage sampling to select and assess 400 students from ten secondary schools in Ibadan on their socio-demographic profile, knowledge, prevalence, coping mechanisms and associated factors of psychological stress. Brief-COPE and General Health questionnaires were adopted to assess the prevalence and coping mechanisms of psychological stress among the respondents. Findings revealed that more than half of the respondents (55.8%) had poor knowledge of psychological stress and only a few (6%) had a high level of being psychologically stressed among the in-school adolescents. The most common coping mechanism observed among the respondents was avoidance coping mechanism, specifically “going to the movies” (49.1%); and the factors significantly associated with the prevalence of psychological stress were school, family, physical factors, peer-pressure as well as romantic factors. Binary logistic regression analysis results showed that “Not supported by parents financially (OR: 2.681, 95% CI 1.0-7.1) and finding it difficult to keep up with school work (OR: 0.202, 95% CI 0.04-0.8)” was positively associated with the prevalence of psychological stress among in-school adolescents. The poor knowledge and prevalence of psychological stress observed among the in-school adolescents suggest constant sensitisations among students, parents, teachers and school counsellors

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Section: Discussionsupporting

confidence: 85%

Section: Discussionsupporting

confidence: 76%

Section: Discussioncontrasting

confidence: 57%

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Psychological Stress and its Associated Factors among In-school Adolescents in Ibadan, Nigeria

Adeleye

John-Akinola

2021

NJSA

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“…Depression is therefore a significant problem among Polish young girls and boys. Adolescent depression is a serious health care problem not only in Western countries, but also in developing countries, such as Kenya (prevalence is around 26.4%) and Nigeria (prevalence between 12.6 and 16.3%) (Oderinde et al 2018).…”

Section: Discussionmentioning

confidence: 99%

Body weight status is not a predictive factor of depressive symptoms in Polish adolescents aged 13-18 years

Trambacz-Oleszak

Krzyżaniak

Szafrańska-Komarowska³

et al. 2018

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Depression and unhealthy weight status are among the most common concerns in adolescent boys and girls. Research results on the relationship between depression and weight status are contradictory. The aim of the present study was to assess the association between body weight status and depressive symptoms among Polish adolescent boys and girls. The cross-sectional survey was carried out on adolescents attending lower and higher secondary schools located in three medium-sized cities and one big agglomeration in Poland. Anthropometric measurements, such as body height and weight, were performed. Beck Depression Inventory-II (BDI-II) was used to assess depressive symptoms. The total sample consisted of 624 boys and 910 girls aged 13-18 (the mean age was 16.4 ± 1.8) participated in the study. Of them, 73.3% had a healthy weight status, 12.9% were classified as thin, 11.4% were overweight and 2.5% were obese. The prevalence of depression based on BDI-II was 20.2% in boys and 34.9% in girls. The Kruskal–Wallis test revealed a lack of association between the body weight status and total scores of depressive symptoms after controlling for age (p=0.98 and p=0.4 for boys and girls, respectively). The multiple regression analysis revealed that gender and age differentiated the depressive symptoms (for gender: ß=0.19; SE=0.38; p<0.001 and for age: ß=0.05; SE=0.1; p<0.05). Age and gender explained 3.5% of the total variance of depressive symptoms. The study did not confirm the association between the body weight status and depression in adolescence.

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“…Oderinde et al administered PHQ-9 modified for adolescents (PHQ-A) to 540 students in rural Nigeria as a screening tool for depression, followed by the depressive disorders module of Kiddies-Schedule for Affective disorders and Schizophrenia (K-SADS), and reported the weighted one-month prevalence of depression as 16.3% [ 22 ]. Alharbi et al, in a recent study in Saudi Arabia [ 23 ] among 1245 students, reported a whopping 74.0% prevalence of depression using PHQ-9 as the study tool.…”

Section: Discussionmentioning

confidence: 99%

Depression Among Adolescents in a Rural Area of Haryana, India: A Community-Based Study Using Patient Health Questionnaire-9

Mohta¹,

Malhotra²,

Gupta³

et al. 2021

Cureus

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Introduction: The estimates of prevalence of depression among adolescents in the Indian community are limited; most studies are institution-based. Early identification and management of depression can provide significant health dividends to the affected adolescents, and better health consequences in their adulthood.Objectives: To determine the prevalence of depression among 10-to 19-year-old residents in a rural area of Haryana, India, and to assess factors associated with adolescent depression.Methods: A sample of 630 adolescents (between 10 to 19 years of age) residing in the selected area of Ballabgarh (Haryana) were selected using simple random sampling technique. Home visits were made, in which participants were administered the Patient Health Questionnaire (PHQ)-9 to screen for depression. The prevalence and 95%CI were estimated. In addition, a semi-structured interview schedule was administered to identify sociodemographic variables and other factors associated with adolescent depression. Unadjusted and adjusted OR were reported with p-value, using multivariable logistic regression analysis.Results: The age-adjusted prevalence of depression among adolescents was 20.6% (95% CI: 16.9-24.2). The prevalence in late and early adolescence was 11.7% and 8.9%, respectively. It was higher in girls (22.3%) as compared with boys (19.2%). Mild depression was the most common type identified. On multivariable logistic regression, depression was associated with birth order of four or more (Adjusted OR (AOR)=3.0 (95%CI: 1.4-6.3), p<0.01), presence of long-standing illness in the past three months (AOR=3.0 (95%CI: 1.4-6.1), p<0.01), impaired self-perceived body image (AOR=2.9 (95%CI: 1.8-4.6), p<0.01), and perceived stressful event(s) in the past six months (AOR=4.9 (95%CI: 2.8-8.6), p<0.01).Conclusion: One in five adolescents was screened positive for depression, necessitating focus on screening and early identification of depressive symptoms, especially at the primary care level.

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Prevalence and Predictors of Depression among Adolescents in Ido Ekiti, South West Nigeria

Cited by 25 publications

References 20 publications

Psychological Stress and its Associated Factors among In-school Adolescents in Ibadan, Nigeria

Psychological Stress and its Associated Factors among In-school Adolescents in Ibadan, Nigeria

Body weight status is not a predictive factor of depressive symptoms in Polish adolescents aged 13-18 years

Depression Among Adolescents in a Rural Area of Haryana, India: A Community-Based Study Using Patient Health Questionnaire-9

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