Internet addiction during the COVID-19 pandemic among adolescents in southeast Nigeria and implications for adolescent care in the post-pandemic era: A cross-sectional study.

Abstract

This study aimed to determine the prevalence and associated factors of internet addiction amongst adolescents in Southeast Nigeria during the coronavirus disease 2019 (COVID-19) era. A cross-sectional study was carried out in 10 randomly selected secondary schools, 2 (one urban and one rural) each from Abia, Anambra, Ebonyi Enugu and Imo states of southeastern Nigeria between July and August 2021. Data on demographic variables were collected using a structured self-administered questionnaire. Young's Internet Addiction Test was used to assess the extent of internet use. Analysis was done using the IBM SPSS Statistics version 23. The level of significance was set at a p-value of <0.05. The mean age of the respondents was 16.2 ± 1.8 years and the male: female ratio was 1:1.6. Most of the adolescents (61.1%) used the internet for academic purposes, while 32.8% used it for social interactions and the majority (51.5%) used their phones. The prevalence of internet addiction was 88.1% (24.9% had mild, 59.6% had moderate, while 3.6% had severe addiction) and a good proportion of the respondents (81.1%) perceived addiction as bad. Internet addiction was significantly associated with the respondent's age (p = 0.043), mother's level of education (p = 0.023), family size (p = 0.021), place of residence (p = 0.035), alcohol intake (p = 0.017), smoking (p = 0.015), substance use (p = 0.001) as well as the duration of internet use (p < 0.001). Internet addiction was predicted by the male gender (adjusted odds ratio (AOR): 2.054; confidence interval (CI): 1.200-3.518), early adolescent age group (10-13 years) (AOR: 0.115; C1: 0.015-0.895) as well as the duration of internet use (AOR: 0.301; CI: 0.189-0.479). The prevalence of internet addiction among adolescents during the COVID-19 pandemic era was high. The predictors of addiction were the male gender, early adolescent age group and duration of internet use.