Evidence map›Paper›PMID 42376465›Full record

ArticlePopulation and environment2024

Climatic change and household-level demographic dynamics: concepts and empirical evidence from sub-Saharan Africa.

Niklas Piringer, Gabrielle Vardanega, Brian C Thiede

Abstract read
In one paragraph

Article in Population and environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Niklas PiringerThe London School of Economics and Political Science.
Gabrielle VardanegaNew York University.
Brian C ThiedeThe Pennsylvania State University.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

Climatic variability has been linked to multiple demographic and health outcomes, which have important implications for human welfare and development. Despite the importance of these outcomes, few studies have examined its impact on household size. Household size is an important correlate of wellbeing and is driven by multiple demographic processes that may be affected by environmental shocks. This paper describes these links conceptually, and then empirically examines how exposure to climate anomalies affects household size and three underlying components-fertility, marriage, and family agglomeration-that are observed in our data. We examine these relationships by linking harmonized census microdata from eleven sub-Saharan African countries with high-resolution climate data from the Climatic Research Unit (CRU) and modeling the effects of recent temperature and precipitation exposures on the outcomes of interest. Our analyses indicate that high temperatures may be associated with increases in household size. Models of the underlying demographic components of household size suggest that these temperature effects may be driven by increases in fertility and men's marriage, assuming the latter involves marriage into an existing household. Evidence from exploratory country-specific models reveals significant spatial heterogeneity, raising important questions about the contextual moderators of climate-family dynamics for future research.

Indexed as

Africaclimatefertilityhouseholdsmarriage

Identifiers

PMID42376465
PMCPMC13313722

What OpenQuestion holds

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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.