ArticleBMC musculoskeletal disorders2023
The association of body composition and fat distribution with dysmobility syndrome in community-dwelling older adults: Bushehr Elderly Health (BEH) program.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Associations of sarcopenia and sarcopenic obesity with hypertension: a systematic review and meta-analysis.Frontiers in nutrition · 2026Pooled it
- A body shape index and sarcopenia risk in middle-aged and older adults: evidence from the China Health and Retirement Longitudinal Study.European journal of medical research · 2025Article
- The existing evidence for the use of extracellular vesicles in the treatment of osteoporosis: a review.International journal of surgery (London, England) · 2025Review
- Association of adipose tissue inflammation and physical fitness in older adults.Immunity & ageing : I & A · 2024Article
- Development of soft tissue asymmetry indicators to characterize aging and functional mobility.Frontiers in bioengineering and biotechnology · 2023Article
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Authors and funding
11 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveDysmobility Syndrome (DS) is characterized as an accumulation of clinical risk factors for functional disability, such as osteoporosis, sarcopenia, and obesity. Neurological disorders that affect the motor and sensory systems can also contribute to the condition, resulting in gait and muscle strength disturbances, as well as a history of falls and fractures. The study aimed to determine the association between fat distribution in different body areas and the odds of older adults developing DS, as there is still uncertainty about the accumulation of fat in which area is most closely linked to the condition.
methodsThis cross-sectional study was conducted according to the data from the second phase of the Bushehr Elderly Health Cohort (BEH). Dysmobility Syndrome was defined based on the co-occurrence of at least three outcomes of its criteria. Body composition was measured using dual-energy X-ray absorptiometry (DXA) and anthropometric studies. For evaluating the relationship, multivariate logistic regression and adjusted univariate linear regression were used.
resultsOf 2,359 who were recruited in the study, 1,277 participants (54.13%) had DS. According to the final logistic regression model in the limb region, FM and FM to FFM ratios were significantly associated with DS [OR (95%CI) = 1.04 (1.02 to 1.05), and 3.42 (1.95 to 5.99), respectively]. Also, In the trunk region, the FM and FM to FFM ratio were significantly related to the odds of DS, although this relationship was weaker than in the limbs region [OR (95%CI) = 1.02 (1.00 to 1.03), and 2.45 (1.36 to 4.39), respectively].
conclusionOur findings indicate that a higher regional and whole-body amount of fat mass rather than fat-free mass is closely linked to an increased risk of DS, particularly in the elderly population. Notably, higher fat mass in the limbs (especially in the legs) is associated with greater odds of DS, while a higher android-to-gynoid fat mass ratio is associated with lower DS risk. Screening fat mass distribution in older individuals can be a valuable strategy for promptly diagnosing DS, implementing interventions to prevent disabilities, and improving their quality of life.
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