Evidence map›Paper›PMID 32161506›Full record

ArticleInternational journal of women's health2020

Socio-Demographic Determinants of Mortality from Chronic Noncommunicable Diseases in Women of Reproductive Age in the Republic of Georgia: Evidence from the National Reproductive Age Mortality Study (2014).

Nino Lomia, Nino Berdzuli, Ekaterine Pestvenidze, Lela Sturua, Nino Sharashidze, Maia Kereselidze, Marina Topuridze, Tamar Antelava, Babill Stray-Pedersen, Arne Stray-Pedersen

Open access · goldAbstract read
In one paragraph

Article in International journal of women's health, 2020. 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, top 96% 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.

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, 2 citations in OpenAlex.

  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

10 authors at 4 institutions in 2 countries.

Nino LomiaInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0003-3865-2584
Nino BerdzuliInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-9022-7991
Ekaterine PestvenidzeInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0001-5616-423X
Lela SturuaDepartment of Noncommunicable Diseases, National Center for Disease Control and Public Health, Tbilisi, Georgia.ORCID 0000-0002-8242-1145
Nino SharashidzeDepartment of Clinical and Research Skills, Faculty of Medicine, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia.ORCID 0000-0001-6862-9460
Maia KereselidzeDepartment of Medical Statistics, National Center for Disease Control and Public Health, Tbilisi, Georgia.
Marina TopuridzeHealth Promotion Division, Department of Noncommunicable Diseases, National Center for Disease Control and Public Health, Tbilisi, Georgia.
Tamar AntelavaEVEX Medical Corporation, Tbilisi, Georgia.
Babill Stray-PedersenInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Arne Stray-PedersenInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-7238-0327
National Center for Disease Control and Public Health · GEUniversity of Oslo · NOOslo University Hospital · NOTbilisi State University · GE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWorldwide, noncommunicable diseases (NCDs) are the leading cause of premature death of women, taking the highest toll in developing countries. This study aimed to identify key socio-demographic determinants of NCD mortality in reproductive-aged women (15-49 years) in Georgia. MATERIALS AND

methodsThe study employed the verbal autopsy data from the second National Reproductive Age Mortality Survey 2014. Univariate and multivariate logistic regression models were fitted to explore the association between each risk factor and NCD mortality, measured by crude and adjusted odds ratio (AOR) with respective 95% confidence intervals (95% CI).

resultsIn the final sample of 843 women, 586 (69.5%) deaths were attributed to NCDs, the majority of which occurred outside a hospital (72.7%) and among women aged 45-49 years (46.8%), ethnic Georgians (85.2%), urban residents (60.1%), those being married (60.6%), unemployed (75.1%) or having secondary and higher education (69.5%), but with nearly equal distribution across the wealth quintiles. After multivariate adjustment, the odds of dying from NCDs were significantly higher in women aged 45-49 years (AOR=17.69, 95% CI= 9.35 to 33.50), those being least educated (AOR=1.55, 95% CI= 1.01 to 2.37) and unemployed (AOR=1.47, 95% CI= 1.01 to 2.14) compared, respectively, to their youngest (15-24 years), more educated and employed counterparts. Strikingly, the adjusted odds were significantly lower in "other" ethnic minorities (AOR=0.29, 95% CI= 0.14 to 0.61) relative to ethnic Georgians. Contrariwise, there were no significant associations between NCD mortality and women's marital or wealth status, place of residence (rural/urban) or place of death.

conclusionAge, ethnicity, education, and employment were found to be strong independent predictors of young women's NCD mortality in Georgia. Further research on root causes of inequalities in mortality across the socioeconomic spectrum is warranted to inform equity- and life course-based multisectoral, integrated policy responses that would be conducive to enhancing women's survival during and beyond reproduction.

Indexed as

educationmortalitynoncommunicable diseasessocioeconomic factorsunemploymentwomen’s health

Identifiers

PMID32161506
PMCPMC7051896
OpenAlexW3007933568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.