Loading
Life sciences · Journal article
Al-rafidain Journal of Medical Sciences · October 6, 2026
No summary has been generated for this record yet. What follows is drawn from its source metadata only.
Journal article.
No findings were extractable from the material analysed.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The source did not state who this applies to in practice.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
This record has not been graded across any dimension yet. Treat the label above as provisional and read the source.
What is missing. This record has no bottom line, key findings, reported figures, evidence dimensions. That is a gap in the analysis, not a judgement about the study.
Background: Sarcopenia is a major public health concern in aging populations, particularly in urban sedentary settings, where physical inactivity and metabolic disorders contribute to muscle decline. Objective: To identify factors associated with muscle strength and muscle mass and to develop a simplified scoring system for sarcopenia in urban sedentary pre-elderly and elderly populations. Methods: A cross-sectional study was conducted using secondary data from the PRIMBON 2025 database in Jakarta. A total of 425 participants were analyzed. Sarcopenia components were assessed using AWGS criteria. Results: Male sex (OR=1.897; p=0.008), depression (OR=1.739; p=0.012), and type 2 diabetes mellitus (OR=4.923; p<0.001) were independently associated with higher odds of low muscle strength, whereas central obesity was independently associated with lower odds of low muscle strength (OR=0.519; p=0.011). Older age was strongly associated with low muscle mass (OR=2.850; p<0.001), while hypertension, obesity, and central obesity demonstrated inverse associations. ROC analysis showed moderate discrimination for muscle strength (AUC=0.690; CI=0.639–0.741) and excellent discrimination for muscle mass (AUC=0.879; 95%CI= 0.845–0.912). Conclusions: Sarcopenia in urban sedentary populations is influenced by multifactorial determinants, including demographic, psychological, and metabolic factors. The developed scoring system provides a practical tool for early screening and risk stratification, although further validation is needed.