Evidence map›Paper›PMID 26060637›Full record

ArticleIranian journal of public health2013

Impact of Socio-Health Factors on Life Expectancy in the Low and Lower Middle Income Countries.

Md Nazrul Islam Mondal, Mahendran Shitan

Abstract read
In one paragraph

Article in Iranian journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Critical country-level determinants of death rate during Covid-19 pandemic.International journal of disaster risk reduction : IJDRR · 2021
    Article
  4. Article
  5. The determinants of contraception use amongst female patients attending Odi District Hospital, Gauteng province, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2020
    Article
  6. Article
  7. Skilled migration and health outcomes in developing countries.International journal of health economics and management · 2019
    Article
  8. Article
  9. Heterogeneous global health stock and growth: quantitative evidence from 140 countries, 1990-2100.Archives of public health = Archives belges de sante publique · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

2 authors.

Md Nazrul Islam Mondal1. Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan , Malaysia ; 2. Dept. of Population Science and Human Resource Development; University of Rajshahi , Rajshahi, Bangladesh.
Mahendran Shitan1. Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan , Malaysia ; 3. Dept. of Mathematics, Faculty of Science, University Putra Malaysia; 43400 UPM Serdang, Selangor Darul Ehsan , Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study is concerned with understanding the impact of demographic changes, socioeconomic inequalities, and the availability of health factors on life expectancy (LE) in the low and lower middle income countries.

methodsThe cross-country data were collected from 91 countries from the United Nations agencies in 2012. LE is the response variable with demographics (total fertility rate, and adolescent fertility rate), socioeconomic status (mean year of schooling, and gross national income per capita), and health factors (physician density, and HIV prevalence rate) are as the three main predictors. Stepwise multiple regression analysis is used to extract the main factors.

resultsThe necessity of more healthcare resources and higher levels of socioeconomic advantages are more likely to increase LE. On the other hand, demographic changes and health factors are more likely to increase LE by way of de-cease fertility rates and disease prevalence.

conclusionThese findings suggest that international efforts should aim at increasing LE, especially in the low income countries through the elimination of HIV prevalence, adolescent fertility, and illiteracy.

Indexed as

Life expectancyLow and lower middle income countriesSocio-health factorsStepwise regression analysis

Identifiers

PMID26060637
PMCPMC4441932

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.