Evidence map›Paper›PMID 35470981›Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Sarcopenia and catastrophic health expenditure by socio-economic groups in China: an analysis of household-based panel data.

Chen Ye, Xu Zheng, Sumiya Aihemaitijiang, Ruoyu Wang, Mairepaiti Halimulati, Xiaojie Huang, Zhaofeng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Effectiveness of digital health exercise interventions on muscle function and physical performance in older adults with possible, confirmed, or severe sarcopenia: a systematic review and meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. [Prevalence of Sarcopenia in the Republic of Korea].Jugan geon-gang gwa jilbyeong · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors.

Chen YeDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing, China.
Xu ZhengPeking University Third Hospital, Beijing, China.
Sumiya AihemaitijiangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing, China.
Ruoyu WangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing, China.
Mairepaiti HalimulatiDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing, China.
Xiaojie HuangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing, China.
Zhaofeng ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-9751-1549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia was thought to be associated with adverse outcomes and will cause lots of health expenditure. But the relationship between sarcopenia and catastrophic health expenditure (CHE) had been little explored. Here, we examined the distribution of sarcopenia in relation to medical and payment burdens.

methodsWe used data from three waves of China Health and Retirement Longitudinal Study including 14 130 participants from 9077 households aged over 50 years old. Sarcopenia was operationalized according to the Asian Working Group for Sarcopenia 2019. Medical expenditure was obtained by self-reported data, and CHE was identified by WHO definitions. We used the negative binomial regression model and logistic mixed-effects models to examine the associations between sarcopenia and medical and CHE.

resultsA total of 14 130 participants [52.2% female, aged 60.8 (SD 9.3)] from 9077 households were included in this study. The prevalence of sarcopenia was 19.8%, 11.9% for moderate sarcopenia, and 7.9% for severe sarcopenia, respectively. We identified 1416 household CHE events in all three waves. Severe sarcopenia was associated with an increase in the number of inpatient visits [incidence rate ratio 1.31, 95% confidence interval (CI): 1.03-1.66, P = 0.03] and the risk of CHE (odds ratio: 1.04, 95% CI: 1.01-1.07, P < 0.01). We saw similar effects in health service use of sarcopenia in different socio-economic groups. Moderate sarcopenia increased the risk of CHE in the lowest socio-economic group (odds ratio 1.03, 95% CI: 1.01-1.06, P = 0.03) and had no statistical significance in other groups. The association between severe sarcopenia and CHE did not attenuate after the adjustment of disease factors.

conclusionsSevere sarcopenia may increase the risk of CHE. Timely and effective intervention on moderate sarcopenia from severe sarcopenia will contribute to reduce the health burden.

Indexed as

Health ExpendituresSarcopeniaCatastrophic IllnessChinaFamily CharacteristicsFemaleHumansLongitudinal StudiesMaleMiddle AgedFinancial risk protectionHealth burdenHealth expenditureSarcopenia

Identifiers

PMID35470981
PMCPMC9178372

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.