Evidence map›Paper›PMID 34101740›Full record

ArticlePloS one2021

Fruit and vegetables consumption among school-going adolescents: Findings from the baseline survey of an intervention program in a semi-urban area of Dhaka, Bangladesh.

Marium Salwa, Fatima Subaita, Sohel Reza Choudhury, Md Khalequzzaman, Mohammad Abdullah Al Mamun, Mahfuzur Rahman Bhuiyan, M Atiqul Haque

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03975335 (An Intervention Program to Reduce NCD Related Behavioral Risk Factor Among Adolescents in Institutional Settings of Bangladesh), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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.

NCT03975335 nacompletednot on this map

An Intervention Program to Reduce NCD Related Behavioral Risk Factor Among Adolescents in Institutional Settings of Bangladesh

TypeinterventionalSponsorChi Research & Infotec Ltd.Ran2018 to 2018Enrolled823ConditionsNon-communicable Disease Risk FactorsArmsHealth education, Carrier Guidance
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Marium SalwaDepartment of Public Health and Informatics, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.ORCID 0000-0001-7869-3343
Fatima SubaitaDepartment of Public Health and Informatics, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Sohel Reza ChoudhuryDepartment of Epidemiology & Research, National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh.
Md KhalequzzamanDepartment of Public Health and Informatics, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Mohammad Abdullah Al MamunDepartment of Epidemiology & Research, National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh.
Mahfuzur Rahman BhuiyanDepartment of Epidemiology & Research, National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh.
M Atiqul HaqueDepartment of Public Health and Informatics, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Bangladesh Medical University · BDNational Heart Foundation Hospital & Research Institute · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInterventions aimed at promoting healthy eating habits in adolescence can help prevent chronic diseases and promote healthy ageing. The aim of this paper is to describe the fruit and vegetables consumption habits of adolescents in Dhaka, Bangladesh as well as to identify the socio-environmental, personal, and behavioral factors that influence these habits. MATERIALS AND

methodsThe baseline data from an intervention study involving 823 grade ten students from two randomly selected secondary schools in a semi-urban area of Dhaka were analyzed. The intake of fruit and vegetables was measured in terms of serving size per day. Hierarchical multiple regression was used to assess the ability of socio-environmental factors such as social support, perceived barriers, and living with patient with chronic diseases; personal factors such as knowledge, self-rated practice, behavioral intention, and body mass index; and behavioral factors such as physical activity, sedentary hours, and sleep duration to predict the level of daily fruit and vegetables intake, after controlling the effect of demographic characteristics of adolescents.

resultsThe average daily consumption of fruit and vegetables was 1.22 and 1.99 servings, respectively. Only one-fifth of the respondents (21%) reported eating five servings of fruit and vegetables a day. Inaccessibility at home was reported as the most perceived barrier for both fruit and vegetables intake. Adolescents' higher fruit and vegetables intake was found to be associated with higher maternal educational attainment, more social support, adequate self-rated practice, positive behavioral intention, higher body mass index, better physical activity, and adequate daily sleeping.

conclusionThe findings revealed insufficient fruit and vegetables intake among adolescents in a semi-urban area of Bangladesh and associated socio-environmental, personal, and behavioral factors that were utilized in developing an intervention program for this transient age group.

trial registrationTrial was registered at ClinicalTrials.gov (NCT03975335) https://clinicaltrials.gov/ct2/show/NCT03975335 on June 01, 2019.

Indexed as

DietDiet, HealthyExerciseFruitVegetablesAdolescentBangladeshBody Mass IndexFeeding BehaviorFemaleHumansMaleSchoolsSocioeconomic Factors

Identifiers

PMID34101740
PMCPMC8186781
OpenAlexW3169139593

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.