Evidence map›Paper›PMID 34877375›Full record

ArticleData in brief2021

Data set concerning the use of social networking sites and mental health problems among the young generation in Bangladesh.

Md Rabiul Islam, Md Ismail Tushar, Sanjida Jannath, Amena Ahmed Moona, Shahinur Akter, Sardar Mohammad Ashraful Islam

Abstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Md Rabiul IslamDepartment of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh.
Md Ismail TusharDepartment of Pharmaceutical Sciences, North South University, Bashundhara, Dhaka 1229, Bangladesh.
Sanjida JannathDepartment of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh.
Amena Ahmed MoonaDepartment of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh.
Shahinur AkterDepartment of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh.
Sardar Mohammad Ashraful IslamDepartment of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article depicts a unique dataset of responses from 791 adults to a self-made questionnaire of five sections sent via Google survey tool (Google form) from February 4, 2021, to March 18, 2021 [1]. We collected responses for establishing a paradigm of the relationship between the social networking sites (SNS) use and four dimensions of psychological distress including depression, anxiety, loneliness, and sleep disturbances. Facebook is the most popular social media in Bangladesh, we observed 669 Facebook users and 122 non-Facebook-users aged between 15 to 40 years in this data set. We analyzed the collected data using the Microsoft Excel (version 2016) and presented as frequencies and percentages based on responses to the whole survey. The survey contained items focusing on (i) sociodemographic information, (ii) usage patterns of SNS, (iii) assessment of mental health problems. We collected responses from all across the country regardless of sociodemographic background. Therefore, government authorities and healthcare providers can use this data for dealing with the mental health issues concerning the use of SNS.

Indexed as

AnxietyDepressionFacebookLonelinessMental healthSleep disturbanceSocial networking sites

Identifiers

PMID34877375
PMCPMC8627992

What OpenQuestion holds

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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.