Evidence map›Paper›PMID 38187311›Full record

ArticleHeliyon2024

Social determinants of child malnutrition outcomes: Evidence from CHNS in China.

Sa Li, Norashidah Mohamed Nor, Shivee Ranjanee Kaliappan

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Sa LiSchool of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia.
Norashidah Mohamed NorSchool of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia.
Shivee Ranjanee KaliappanSchool of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Program Development (Pilot) CoreP30AG066615 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 2020 to 2026
$4.1M
Monitoring Social Change: Dynamics Of Aging And Cognitive FunctionR01AG065357 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 2020 to 2024
$3.6M
Emergence of Cardiometabolic Risk Across the Lifecycle in ChinaR01HL108427 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2012 to 2015
$2.7M
Transition to a Western diet and cardiometabolic risk: biomarkers derived from the microbiomeR01DK104371 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2015 to 2018
$2.5M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
FIC NIH HHS D43 TW009077NHLBI NIH HHS R01 HL108427NIA NIH HHS P30 AG066615NIA NIH HHS R01 AG065357NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK104371
6 · The paper itself

Abstract

China is committed to reduce child malnutrition outcomes (CMO) rates to less than 5 % by 2030 in order to meet the Sustainable Development Goal (SDG). Yet, this is still an enormous challenge for China, particularly in disadvantaged areas, due to regional and urban-rural disparities. Using China Health and Nutrition Survey (CHNS) data from 1991 to 2015 and fixed-effect models, this study investigates the social determinants of stunting (n = 4012) measured by height-for-age z score (HAZ) and wasting (n = 4229) measured by weight-for-height z score (WHZ) in children under the age of five. According to the empirical findings, the significant social determinants of child stunting encompassed whether the child is insured (p < 0.01), maternal education level (primary school (p < 0.01) low middle school (p < 0.01); vocational school (p < 0.01)), maternal employment status (p < 0.05), mother's average working days (p < 0.05), average household per capita income (p < 0.01), household asset index (p < 0.01), urbanization index living in a community (medium (p < 0.05); higher (p < 0.01); highest (p < 0.01)) and living regions (west (p < 0.01); northeast (p < 0.05)). Children's maternal employment status (p < 0.05), mother's average working days (p < 0.05), living areas (p < 0.05) and living regions (central (p < 0.01); west (p < 0.01); north-east (p < 0.05)) are the significant factors impacting child wasting. Furthermore, the interaction impact between maternal employment and have one additional working day per week is positive. To attain SDGs, the Chinese government should priorities lowering stunting and wasting among 5-year-olds in the western region, particularly in impoverished regions. Also, it is possible to develop tailored policies for the growth and development of children under the age of five by addressing pertinent socio-economic factors.

Indexed as

Child malnutrition outcomesChinaRegional disparitiesSocial determinantsSustainable development goals

Identifiers

PMID38187311
PMCPMC10767191

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.