Evidence map›Paper›PMID 36613334›Full record

ArticleFoods (Basel, Switzerland)2022

Effects of Intergenerational Care Behavior on Residents' Nutrition Intake-Descriptive Statistical Analysis of Rural China Survey 2010-2014.

Huaquan Zhang, Fan Yang, Martinson Ankrah Twumasi, Abbas Ali Chandio, Ghulam Raza Sargani

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. 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

5 authors.

Huaquan ZhangCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.
Fan YangCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.
Martinson Ankrah TwumasiCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0001-8703-7102
Abbas Ali ChandioCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0001-8706-9681
Ghulam Raza SarganiCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0003-0327-8000

Funding

The Social Science Fund of China 19CSH029
6 · The paper itself

Abstract

Nutritional status plays an indispensable role in enhancing human capital and preventing the return to poverty. In the context of the three-child policy and the aging society in China, intergenerational care will inevitably become a core component of family support. Thus, this paper evaluates the impacts of intergenerational care behavior on nutritional intake in Chinese rural residents from the perspective of household consumption. The study's data is from the China Family Panel Studies (CFPS) (2010-2014), and, the fixed effect model and analyses are applied to achieve the study's objective. The results reveal that rural residents with intergenerational family care behavior have significantly higher food diversity. Thus, Chinese rural residents with intergenerational care consumed 22.4% more food. A possible mechanism is that intergenerational care improves young mothers' labor participation and income, thus optimizing their dietary structure. Moreover, there was heterogeneity concerning the nutrition intake among rural residents in different geographic and family net income groups. Finally, the robust check is consistent with the baseline regression results. In summary, governments should fully affirm the elderly contribution to families to give full play to the elderly family benefit maximization.

Indexed as

fixed effectintergenerational carenutritional intakerural China

Identifiers

PMID36613334
PMCPMC9818286

What OpenQuestion holds

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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.