Evidence map›Paper›PMID 37712385›Full record

ArticleJournal of global health2023

High-risk pregnancy in India: Prevalence and contributing risk factors - a national survey-based analysis.

Periyasamy Kuppusamy, Ranjan Kumar Prusty, Deepali Prakash Kale

Abstract read
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Maternal Morbidity and Adverse Fetal Outcomes in a Prospective North Indian Pregnancy Cohort.American journal of human biology : the official journal of the Human Biology Council · 2026
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  7. Prevalence and Correlates of High-risk Pregnancy in an Aspirational District of Assam, India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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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

3 authors.

Periyasamy KuppusamyClinical Research Laboratory, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, India.
Ranjan Kumar PrustyDepartment of Biostatistics, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, India.
Deepali Prakash KaleDepartment of Obstetrics and Gynaecology, Nowrosjee Wadia Maternity Hospital, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-risk pregnancies (HRP) place women and their offspring at the highest risk for morbidity and mortality. Maternal and medical risks increase pregnancy risk and complications during pregnancy and childbirth. Here, we reported the current prevalence of high-risk pregnancies among Indian women, which is defined through various factors such as maternal, lifestyle, medical, current health risk and adverse birth outcomes. Methods: This is a cross-sectional study based on secondary data from India's National Family Health Survey-5 (NFHS-5). A total of 23 853 currently pregnant women were considered for analysis after considering the inclusion and exclusion criteria. The prevalence and contributing factors of high-risk pregnancies were estimated using descriptive statistics and logistic regression, respectively. Results: The prevalence of high-risk pregnancies among Indian women was 49.4%, with 33% of women having a single high-risk, and 16.4% having multiple high-risk pregnancies. Notably, pregnant women from Meghalaya and Manipur states had 67.8% and 66.7% with one or more high-risk factors, respectively. About 31.1% of women had short birth spacing, and 19.5% of women had adverse birth outcomes during the last birth. Logistic regression analysis showed that women with no education (adjusted odds ratio (AOR) = 2.02; 95% confidence interval (CI) = 1.84-2.22) and the poorest wealth quintile (AOR = 1.33; 95% CI = 1.04-1.29) had significantly higher odds of having HRP than those with higher education and the highest wealth quintile, respectively. Conclusions: Nearly half of all pregnancies in India have one or more high-risk factors, which is a matter of concern, and the risks were higher among the vulnerable population such as no educated, poorest groups etc. The leading high-risk factors such as short-birth spacing, adverse birth outcomes, and caesarean deliveries should be addressed through the health policy and programmes.

Indexed as

Pregnancy ComplicationsPregnancy, High-RiskCross-Sectional StudiesFemaleHumansIndiaPregnancyPrevalence

Identifiers

PMID37712385
PMCPMC10502764

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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.