Evidence map›Paper›PMID 39070474›Full record

ArticleCureus2024

Effects of the COVID-19 Pandemic on the Lifestyle and Mental Health of Children in the Puducherry District: A Community-Based Cross-Sectional Study.

Priskilla Johnson Jency, Raja Jeyapal Dinesh, Rajendran Dhanalakshmi, Adinarayanan Srividya, Palappurath Maliyakkal Azad, Ashwani Kumar

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In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Priskilla Johnson JencyDepartment of Epidemiology and Operational Research, Indian Council of Medical Research-Vector Control Research Centre, Puducherry, IND.
Raja Jeyapal DineshDepartment of Epidemiology and Operational Research, Indian Council of Medical Research-Vector Control Research Centre, Puducherry, IND.
Rajendran DhanalakshmiDepartment of Epidemiology and Operational Research, Indian Council of Medical Research-Vector Control Research Centre, Puducherry, IND.
Adinarayanan SrividyaDepartment of Biostatistics and Vector-Borne Diseases Modeling, Indian Council of Medical Research-Vector Control Research Centre, Puducherry, IND.
Palappurath Maliyakkal AzadDepartment of Biostatistics and Vector-Borne Diseases Modeling, Indian Council of Medical Research-Vector Control Research Centre, Puducherry, IND.
Ashwani KumarIndian Council of Medical Research, Vector Control Research Centre, Puducherry, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has tremendously disrupted societal behaviors and norms. People had to cope with new situations, including restrictions on free movement, home confinement, and school closures, among others. With less scope for physical classes, online classes became rampantly common during and after the pandemic. A virtual learning platform cannot replace the societal learning and preparation of children that normally occurs in school settings. The pandemic had a multifaceted impact on children, disrupting their routine work, social life, and mental health. Such uncertain circumstances are bound to interfere with their emotional well-being, with long-term consequences. It is imperative to screen for the effects of the pandemic situation among children for timely action.

methodsA cross-sectional survey was carried out in both rural and urban areas of Puducherry, India, between February and April 2022, toward the fag end of the pandemic. Face-to-face interviews were conducted among caregivers of 621 children aged 6-17 years. Details such as sociodemographic, personal, and behavioral aspects of the child were collected. Emotional and behavioral difficulties during the pandemic were assessed using the parent (caregiver) version of the Strengths and Difficulties Questionnaire-25 (SDQ-25). Univariate analysis was performed using the chi-square test. Four different regression models were fitted to ascertain the factors influencing the overall difficulty score as well as the SDQ subscales, namely, the internalizing, externalizing, and prosocial scores. A P value of <0.05 was considered significant.

resultsOverall, 101 (16.3%) children aged 6-17 years were likely to have emotional and behavioral difficulties according to the SDQ scores. Abnormal externalizing, internalizing, and prosocial scores were documented among 160 (25.8%), 258 (41.5%), and 285 (45.9%) children, respectively. Caregivers reported disruptions in their children's academic performance (426, 68.6%), sleeping patterns (269, 43.3%), and eating habits (256, 41.2%). The use of digital devices for noneducational purposes was reported among 97 (35.9%) children. Younger caregivers (18-45 years), children who used digital devices for >2 hours per day, children who experienced any death due to COVID-19 in their family, and caregivers who perceived that the psychological changes in their children were due to the pandemic were predictors of abnormal SDQ scores. Physical activity for more than two hours per day reduced the risk of emotional and behavioral difficulties in children by 60%.

conclusionsThis research underscores the potential ramifications of the pandemic on the mental well-being and lifestyle of children. Implementing initiatives that promote positive mental health and conducting preventive screening for vulnerable populations, such as children, are considered essential, anticipating the challenges posed by such unprecedented pandemic circumstances in the future.

Indexed as

childrencovid-19mental healthpandemicstrengths and difficulties questionnaire

Identifiers

PMID39070474
PMCPMC11272912

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.