Internet Addiction and Mental Health among College Students in Malawi

Manda, Tiwonge Davis; Jamu, Edister; Mwakilama, Elias; Maliwichi, Limbika

doi:10.1007/978-3-030-13593-5_16

Cited by 2 publications

(4 citation statements)

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“…A variation of missing responses in the range of one to seven (see Tables S1-S8 in supplementary file) is observed in the dataset, however. Hence, only 977 responses in the dataset which have complete records of socio-demographic characteristics (see Table S1 in the supplement), were used by the main study (Manda et al, 2019) for analysis. Nonetheless, the 984 sample size was arrived at following the multistage sampling technique.…”

Section: Sampling Sample and Data Collectionmentioning

confidence: 99%

“…These are primary data, processed data, data collection tool and figures in the manuscript (Manda et al, 2019).…”

Section: Data Typesmentioning

confidence: 99%

“…The data were collected from randomly sampled university (undergraduate and postgraduate) students pursuing either science or humanities, and social science disciplines in Malawi using a self-reporting questionnaire (SRQ). However, we do not presume that the previous study (Manda et al, 2019) was exhaustive with use of the data; hence the present study to share the data. Recognizing the need for sharing of data in accordance with the FAIR data policies (Carolan, 2016;Wang & Strong, 1996;Wilkinson et al, 2016), this article openly describes and shares the data with the public and other researchers who will find it useful.…”

Section: Introductionmentioning

confidence: 98%

“…However, in Malawi, such type of information was lacking. To address this gap, we instituted a study (Manda et al, 2019) to investigate the relationship between internet addiction and mental health among college students in Malawi based on the primarily collected data. The data were collected from randomly sampled university (undergraduate and postgraduate) students pursuing either science or humanities, and social science disciplines in Malawi using a self-reporting questionnaire (SRQ).…”

Section: Introductionmentioning

confidence: 99%

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Data from “Internet Addiction and Mental Health among College Students in Malawi”

Mwakilama

Jamu

Senganimalunje

et al. 2022

JOPD

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Data which were collected using Internet Addiction Test (IAT) and Self-Reporting Questionnaire (SRQ-20) tools from 984 randomly sampled tertiary education students in Malawi is described in this paper. The questionnaires were designed on Google forms, but both online and printed forms were employed to enhance response rate. Stored in Mendeley data repository, the data set includes basic demographic information about study participants, frequency of internet and social media use, and transformed variables linked to cases of common mental disorder. Although the data was primarily collected to assess the link between internet addiction and mental health among college students in Malawi, it is a potential source for the several psychometric studies. Moreover, the presented SRQ-20 data should also be useful for measuring anxiety and studying psychiatric symptoms and personality type among the college students. The study design, materials and methods used when collecting this data may also be replicated in other related psychological research studies in the educational field.

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Section: Sampling Sample and Data Collectionmentioning

confidence: 99%

“…These are primary data, processed data, data collection tool and figures in the manuscript (Manda et al, 2019).…”

Section: Data Typesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Data from “Internet Addiction and Mental Health among College Students in Malawi”

Mwakilama

Jamu

Senganimalunje

et al. 2022

JOPD

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Sleep quality and its associated factors among university students in Malawi

Mzumara,

Banda,

Munthali

et al. 2024

Preprint

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Background Mental, physical, and social well-being have an impact on sleep quality. University students are vulnerable to sleep problems due to academic pressure coupled with psychosocial problems. Aim This study aimed to investigate sleep quality and identify its associated factors among university students in Malawi. Method A cross-sectional study was conducted using data collected from 984 students across 13 academic institutions (private and public) in Malawi. A standardized questionnaire was administered via Google Forms, assessing demographic sleep quality and its associated factor variables. Descriptive statistics, Chi-square tests, and logistic regression analyses were used to explore and examine possible associations between poor sleep quality and various demographic factors. Results The study revealed that 28.9% of students experienced poor sleep quality. Gender (p=0.039) and suicidal thoughts (p<0.001) were significantly associated with poor sleep. The results of regression analysis showed that, suicidal thoughts significantly influence bad sleep (p<0.001). However, sleep quality was not significantly influenced by age, year of study, level of study, and gender (p>0.05). Conclusion The findings suggest that mental health concerns, particularly suicidal thoughts, are strongly linked to poor sleep quality among university students in Malawi. The results highlight the need for targeted interventions to address sleep-related issues and promote mental well-being among students.

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Internet Addiction and Mental Health among College Students in Malawi

Cited by 2 publications

References 13 publications

Data from “Internet Addiction and Mental Health among College Students in Malawi”

Data from “Internet Addiction and Mental Health among College Students in Malawi”

Sleep quality and its associated factors among university students in Malawi

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