Evidence map›Paper›PMID 34167493›Full record

ArticleBMC public health2021

Cherish your children: socio-economic and demographic characteristics associated with child mortality.

Ruwan Jayathilaka, Harindu Adikari, Rangi Liyanage, Rumesh Udalagama, Nuwan Wanigarathna

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

5 authors.

Ruwan JayathilakaDepartment of Information Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka. ruwan.j@sliit.lk.
Harindu AdikariDepartment of Business Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka.
Rangi LiyanageDepartment of Business Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka.
Rumesh UdalagamaDepartment of Business Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka.
Nuwan WanigarathnaDepartment of Business Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe United Nations Interagency Group for Child Mortality Estimation (UNIGME) indicates that child mortality is the death rate of children between age zero to five. The importance of this area of research is high where worldwide a number of studies have been led on infant and child mortality, despite limited research discoveries with regards to Sri Lanka. The aim of this study is to investigate the socio-economic and demographic characteristics associated with child mortality in Sri Lanka.

methodsUsing the context of Sri Lanka as a case study, this study carried out based on data gathered from the micro level national survey. Using the logit regression model through the step-wise technique, the study investigate the socio-economic and demographic characteristics associated with child mortality in Sri Lanka.

resultsAccording to the generated results, place of residence province-wise, household head's education level and source of drinking water have negative effect (lower risk) on child mortality in Sri Lanka. Exceptionally, the Western province has the highest negative effect on child mortality which demonstrates it as the least harmful region in Sri Lanka in child endurance. Household heads who owns private entities and Sri Lankan Moors has a positive effect on child mortality as well.

conclusionThis study is helpful to address the population health of local arena and results can be supportive to the government and policymakers to gain an overview of physical health status of the country and able to uplift their policies based on the new findings.

Indexed as

Child MortalityFamily CharacteristicsChildEducational StatusHumansInfantSocioeconomic FactorsSri LankaChild mortalityLogitSocio-economic and demographic characteristics

Identifiers

PMID34167493
PMCPMC8224253

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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.