Evidence map›Paper›PMID 30618931›Full record

ArticleFrontiers in psychology2018

Caregiver Depression and Early Child Development: A Mixed-Methods Study From Rural China.

Ai Yue, Jiaqi Gao, Meredith Yang, Lena Swinnen, Alexis Medina, Scott Rozelle

Abstract read
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Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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32citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

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

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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

6 authors.

Ai YueCenter for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi'an, China.
Jiaqi GaoCenter for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi'an, China.
Meredith YangRural Education Action Program (REAP), Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, United States.
Lena SwinnenRural Education Action Program (REAP), Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, United States.
Alexis MedinaRural Education Action Program (REAP), Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, United States.
Scott RozelleRural Education Action Program (REAP), Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Half of rural toddlers aged 0-3 years in China's Qinling Mountainous region are cognitively delayed. While recent studies have linked poor child development measures to the absence of positive parenting behaviors, much less is known about the role that caregiver depression might play in shaping child development. In this paper, a mixed methods analysis is used to explore the prevalence of depression; measure the association between caregiver depression and children's developmental delays, correlates of depression, and the potential reasons for caregiver depression among women in rural China. The analysis brings together results from a large-scale survey of 1,787 caregivers across 118 villages in one northwestern province, as well as information from in-depth interviews with 55 female caregivers from these same study sites. Participants were asked to respond to the Depression, Anxiety and Stress Scale-21 (DASS-21) as well as a scale to measure children's social-emotional development, the Ages and Stages Questionnaire: Social-Emotional (ASQ-SE). We also administered a test of early childhood development, the Bayley Scales of Infant and Toddler Development (BSID-III), to all of the study household's infants and toddlers. The results show that the prevalence of depression may be as high as 23.5 percent among all female caregivers (defined as scoring in the mild or higher category of the DASS-21). Grandmothers have higher prevalence of depression than mother caregivers (

Indexed as

child developmentdepressionfemale caregiversmixed methods analysisqualitative studyrural China

Identifiers

PMID30618931
PMCPMC6295552

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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.