ArticleFrontiers in nutrition2022
Body Mass Index Combined With Possible Sarcopenia Status Is Better Than BMI or Possible Sarcopenia Status Alone for Predicting All-Cause Mortality Among Asian Community-Dwelling Older Adults.
Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Integrating Leg-Press Strength and Nutritional Status Improves 16-Year Mortality Risk Stratification in General Older Adults.Journal of cachexia, sarcopenia and muscle · 2026Article
- The decision support system for preventing non-elderly sarcopenia: Data from NHANES 2011-2018.Sports medicine and health science · 2026Article
- Cluster analysis with body composition data for health risk assessment in children.Pediatric research · 2026Article
- Global prevalence and risk factors of probable sarcopenia in older adults: a protocol for systematic review and meta-analysis.BMJ open · 2026Article
- Pneumonia Risk in Institutionalized Older Adults With Severe Functional Dependency: An Exploratory Analysis Using Standardized Long-Term Care Assessment Data.Geriatrics & gerontology international · 2026Observational
- Predictive model development for possible sarcopenia in community-dwelling older adults: a cross-sectional machine learning approach using the Korean frailty and aging cohort study.BMC geriatrics · 2025Article
- Dionysus or apollo, skeletal muscle mass changes in type 2 diabetes with sarcopenia receiving GLP-1 receptor agonist: systematic review and meta-analysis.Diabetology & metabolic syndrome · 2025Review
- Commentary: Underweight in adults: Time for ethnic-specific criteria?Asia Pacific journal of clinical nutrition · 2025Article
- Association of possible Sarcopenia, Sarcopenia and sarcopenic obesity with multimorbidity among middle-aged and older adults: findings from the China health and retirement longitudinal study.Archives of public health = Archives belges de sante publique · 2025Article
- An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis.Aging clinical and experimental research · 2025Article
- Combining body mass index and muscle function in investigating mortality among older hypertensive patients.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Article
- Impact of Chinese visceral adiposity index on all-cause mortality risk in community-dwelling older adults: a prospective cohort study.Aging clinical and experimental research · 2024Article
- Prevalence and severity of sarcopenia in patients on maintenance hemodialysis: a cross-sectional study.BMC nephrology · 2024Article
- Association between possible sarcopenia, all-cause mortality, and adverse health outcomes in community-dwelling older adults in China.Scientific reports · 2024Article
- Bidirectional transitions of sarcopenia states in older adults: The longitudinal evidence from CHARLS.Journal of cachexia, sarcopenia and muscle · 2024Article
- Sarcopenia and frailty among the elderly population in the community: An observational study.Journal of family medicine and primary care · 2024Article
- The relationship between sarcopenia and serum irisin and TNF-α levels in newly diagnosed cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Body mass index (BMI) and sarcopenia are common indicators of nutritional status. Possible sarcopenia, defined as low muscle strength or performance, was recently introduced by the Asian Working Group for Sarcopenia (AWGS) in 2019. We investigated for association between all-cause mortality and BMI combined with possible sarcopenia severity in Asian older adults. Methods: This study included a subpopulation (8,195 participants aged ≥60 years; male gender: 49.4%; mean age: 69.2 ± 6.8 years) from the Fourth Thai National Health Examination Survey (NHES-IV). BMI was classified using Asia-Pacific cut-offs. Possible sarcopenia was defined using quadriceps strength based on AWGS 2019 criteria, and possible sarcopenia severity was determined using study population quartile cut-offs. All-cause mortality data was derived from the national vital registry in 2020. Results: The prevalence of underweight status and possible sarcopenia was 11.8 and 38.9%, respectively. Multivariate analysis showed underweight individuals with severe possible sarcopenia to be at highest risk for increased mortality [adjusted hazard ratio (aHR): 3.98, 95% confidence interval (CI): 2.89-5.48], and higher risk was found in men compared to women (aHR: 5.35, 95% CI: 1.19-8.97). Obese status without possible sarcopenia was an independent protective factor (aHR: 0.61, 95% CI: 0.38-0.97). Conclusion: BMI combined with possible sarcopenia severity is a better predictor of mortality risk than either parameter alone.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.