Evidence map›Paper›PMID 41618256›Full record

ArticleBMC medicine2026

Disproportionate climate burden of rising temperatures on low birth weight in Pakistan.

Syeda H Fatima, Corey J A Bradshaw, Zulfiqar A Bhutta, Peng Bi, Jai K Das, Salima Meherali, Zohra S Lassi

Abstract read
In one paragraph

Article in BMC medicine, 2026. 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
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.

  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

7 authors.

Syeda H FatimaHealthy Environment and Lives (HEAL) Global Research Centre, University of Canberra, Canberra, ACT, Australia.ORCID 0000-0002-7180-4722
Corey J A BradshawHealthy Environment and Lives (HEAL) Global Research Centre, University of Canberra, Canberra, ACT, Australia.ORCID 0000-0002-5328-7741
Zulfiqar A BhuttaDepartment of Nutritional Sciences, Centre for Global Child Health, Hospital for Sick Children, Toronto, ON, Canada.ORCID 0000-0003-0637-599X
Peng BiSchool of Public Health, Adelaide University, Adelaide, SA, Australia.ORCID 0000-0002-3238-3427
Jai K DasInstitute for Global Health and Development, Aga Khan University, Karachi, Pakistan.ORCID 0000-0002-2966-7162
Salima MeheraliFaculty of Nursing, College of Health Sciences, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-8132-8600
Zohra S LassiAdelaide Medical School, Faculty of Health and Medical Sciences, Adelaide University, Adelaide, SA, Australia. zohra.lassi@adelaide.edu.au.ORCID 0000-0002-5350-6334

Funding

Australian National Health and Medical Research Council 2009730
6 · The paper itself

Abstract

backgroundWarming temperatures add to the global health burden, with disproportionate effects on pregnant women and newborns. Low birth weight is a major neonatal health issue in Pakistan, leading to neonatal mortality and impaired long-term health. We assessed the impact of extreme temperatures on low birth weight, identified high-risk subgroups, estimated the heat-attributable burden, projected future risks, and constructed a district-level heat vulnerability index.

methodsWe conducted a space-time series study using nationally representative surveys from 2008 to 2017 across Pakistan's provinces. We modelled temperature-low-birth-weight associations with distributed-lag non-linear models in a generalised mixed-effects framework, with model averaging to address specification uncertainty. Subgroup analyses considered maternal education, household wealth, urban/rural residence, and air quality. We estimated heat-related population attributable fraction using observed temperature and projections under SSP2-4.5 and SSP5-8.5. Province-level risk estimates combined with district-level indicators, such as mean temperature, multidimensional poverty, and under-5 mortality, were used to develop the heat vulnerability index.

resultsThe study included 85,017 participants, with 15,920 (18.72%) infants identified as having low birth weight. Heat-related risks for low birth weight varied across provinces, with relative risks ranging from 1.47 (1.07-2.03, 95% confidence interval) to 1.91 (1.24-2.93) at the 99th percentile of temperature. The heat-related population attributable fraction ranged from 9.39% to 13.15%, translating to 1.24 million heat-related low-birth-weight cases over the study period. Projections indicate that heat-related population attributable fractions will increase by 8.43-10.20% by the 2060s. Subgroup analysis showed higher risk among women exposed to hazardous air pollution, those with less education, and urban residents. Women in southern Punjab, northern Baluchistan, and Sindh faced the highest risks.

conclusionsOur findings identify Pakistan's districts most vulnerable to heat-related low birth weight and highlight contributing factors. These insights can inform targeted interventions to mitigate risks. The study advances the understanding of the impacts of rising temperatures, particularly in resource-limited and high-risk settings.

Indexed as

Hot TemperatureInfant, Low Birth WeightAdultFemaleHumansInfantInfant MortalityInfant, NewbornPakistanPregnancyChild healthClimate changeExtreme heatGlobal healthHeat-related attributable fractionHeatwavesInfantsPregnant womenRelative risk

Identifiers

PMID41618256
PMCPMC12934040

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.