Evidence map›Paper›PMID 36235667›Full record

ArticleNutrients2022

Association of Body Mass Index with Risk of Household Catastrophic Health Expenditure in China: A Population-Based Cohort Study.

Yaping Wang, Min Liu, Jue Liu

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. 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
0.8field-weighted citation impact, top 23% of its field
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, 3 citations in OpenAlex.

  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 at 1 institution in 1 country.

Yaping WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0003-2586-5599
Min LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-5059-3743
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-1938-9365
Peking University · CN

Funding

the National Key Research and Development Project of China 2021ZD0114101the National Key Research and Development Project of China 2021ZD0114104the National Natural Science Foundation of China 71934002the National Natural Science Foundation of China 72122001the National Statistical Science Research Project 2021LY038
6 · The paper itself

Abstract

Catastrophic health expenditure (CHE) is a major obstacle to achieving universal health coverage, and body mass index (BMI) is linked to both health and economy. We aimed to explore the association of BMI with the risk of CHE to provide advice for reducing CHE. We used national cohort data from the China Family Panel Studies, which comprised 33,598 individuals (14,607 households) from 25 provinces between 2010 to 2018. We used multivariate Cox proportional hazard models to estimate adjusted hazard ratios (aHRs) and 95% confident interval (CI) for CHE in participants at underweight, overweight, and obesity, compared with those at normal weight. Restricted cubic splines were employed to model the association of continuous BMI scale with risk of CHE. We found that families with female household heads at underweight had a 42% higher risk of CHE (aHR = 1.42, 95%CI: 1.16-1.75), and those at overweight had a 26% increased risk of CHE (aHR = 1.26, 95%CI: 1.09-1.47), compared with those at normal weight. A weak U-shaped curve for the association of continuous BMI with risk of CHE in female-headed households (

Indexed as

Catastrophic IllnessHealth ExpendituresBody Mass IndexChinaCohort StudiesFamily CharacteristicsFemaleHumansMaleOverweightThinnessbody mass indexcatastrophic health expenditureuniversal health coverage

Identifiers

PMID36235667
PMCPMC9571178
OpenAlexW4297546880

What OpenQuestion holds

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LicenceCC BY
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.