Background: Work-related musculoskeletal disorders (WRMSDs) remain a major cause of occupational disability and productivity loss worldwide. Traditional statistical methods have identified numerous associated factors; however, they often struggle to capture complex non-linear relationships and interactions across multiple domains of risk. Machine learning (ML) offers an alternative analytical approach for modelling such multidimensional relationships. Methods: Following the PRISMA 2020 guidelines (PROSPERO: CRD420250605234), literature searches were conducted in Web of Science, Scopus, and PubMed for studies published between 2020 and 2025. Eligible studies applied ML methods to identify factors associated with WRMSDs using cross-sectional study designs. Included studies were appraised using the Joanna Briggs Institute Critical Appraisal Checklist for analytical cross-sectional studies. Results: Ten studies met the inclusion criteria, representing workers from healthcare, transport, manufacturing, and service sectors across Asia, Africa, and Europe. Frequently applied ML algorithms included random forest, support vector machine, and artificial neural networks, demonstrating strong internal discriminative performance (area under the receiver operating characteristic curve: 0.80–0.99), although the absence of external validation in several studies suggests a potential risk of overfitting. Commonly identified factors included age, sex, awkward posture, vibration exposure, prolonged working hours, stress, and burnout. Psychosocial factors, including post-traumatic stress disorder, job stress, and depression, were ranked among the most influential predictors within ML models. Conclusions ML models demonstrate strong capability in discriminating WRMSDs risk and identifying multidimensional risk factors compared with traditional statistical approaches. These models highlight complex interrelationships between ergonomic and psychosocial exposures. Future research should incorporate external validation, objective exposure measurements, and standardized ML reporting frameworks to enhance methodological transparency and generalizability.

Stunting remains a major public health concern in Southeast Asia, and is shaped by a complex interplay of genetic, inflammatory, and nutritional factors. This scoping review sought to map genetic polymorphisms associated with stunting in Southeast Asian children and to identify candidate biomarkers for early diagnosis and biologically targeted interventions. Following the Arksey and O'Malley framework and the PCC (Population, Concept, Context) model, a systematic search was conducted across 7 databases. Eligible studies were peer-reviewed, published in English from 2015–2024, involved children under 18 years of age, and investigated gene variants in relation to stunting. A total of 902 records were screened independently by 3 reviewers using predefined criteria, with consensus procedures to resolve any discrepancies. Eleven studies met the final inclusion criteria. Thematic analysis and protein-protein interaction mapping revealed that 5 key polymorphisms—IGF1R, GHSR, MTRR, CASP1, and CARD17—were significant contributors to growth impairment. IGF1R polymorphisms were associated with a 2.46-fold increase in stunting risk (odds ratio [OR], 2.46; 95% confidence interval [CI], 1.60–3.78), while MTRR< variants yielded an OR of 1.93 (95% CI, 1.22–3.05). Similarly, GHSR and CASP1 polymorphisms were linked to increased odds of stunting (OR, 2.15; 95% CI, 1.38–3.34 and OR, 1.67; 95% CI, 1.10–2.54, respectively). These polymorphisms were consistently associated with disrupted growth hormone signaling, chronic inflammation, and nutrient-sensitive pathways. The biological network underlying stunting in this population points to a converging mechanism of impaired endocrine function and inflammatory dysregulation. However, this review’s scope is limited by underrepresentation of some Southeast Asian nations and exclusion of non-English literature. Early genetic screening for high-risk biomarkers and precision-driven nutritional interventions may offer more effective strategies to reduce the burden of stunting in Southeast Asian children.

Background: The co-occurrence of frailty, sarcopenia, and malnutrition was well studied in inpatient and nursing home settings, which was associated with higher risk of all-cause mortality. Multicentre data in community-dwelling outpatient setting were lacking. We aimed to find the prevalence of frailty, possible sarcopenia and malnutrition, their overlap and the associated factors in community-dwelling older outpatients. Methods: We collected data from community-dwelling outpatients aged ≥60 years in Indonesian geriatric care centres to conduct this cross-sectional study with bivariate and multivariable analyses. Frailty, possible sarcopenia, and malnutrition diagnoses were based on FRAIL scale, Asian Working Group for Sarcopenia 2019 consensus, and Mini Nutritional Assessment Short Form, respectively. Results: The prevalence of frailty, possible sarcopenia, and malnutrition in community-dwelling older outpatients were 13.6%, 45.5%, and 5.3%, respectively. The prevalence of co-occurrence of frailty, possible sarcopenia and malnutrition was 3.3%. It was associated with transient ischemic attack (TIA) and cerebrovascular accident (odds ratio [OR]=5.53, 95% confidence interval [CI] 1.48–20.61), cognitive impairment (OR=3.70, 95% CI 1.21–11.31), and dependent functional capacity (OR=11.62, 95% CI 3.38–39.99). Overlap of three evaluated syndromes was found in 24.1%, 7.2%, and 61.3% of subjects with frailty, possible sarcopenia, and malnutrition, respectively. It was characterized by a substantial proportion of female sex, older adults with low educational attainment, diabetes mellitus, hypertension, cognitive impairment, multimorbidity, and dependent functional status. Conclusion Approximately 1 in 30 community-dwelling older outpatients had overlapping frailty, possible sarcopenia, and malnutrition. The condition is associated with TIA and cerebrovascular accident, cognitive impairment, and dependent functional capacity. Standardized screening in community-dwelling older population is necessary.

Background: Understanding the relationship between muscle mass, muscle strength, and bone density in older adults is crucial for addressing age-related conditions like osteoporosis and sarcopenia. This review aims to evaluate the relationship between muscle mass and muscle strength with bone density in older adults. Methods: This systematic review, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, involved a comprehensive search across seven databases from 2014 to April 2024. Included were observational studies in English and Indonesian on adults aged 60 and older. The Appraisal Tool for Cross-Sectional Studies (AXIS) tool assessed the risk of bias, and the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework evaluated the evidence quality. Study selection was independently reviewed, and consensus was reached through discussion. Results: Ten studies were included. For muscle mass and bone density, five studies showed a significant association, while four did not. For muscle strength and bone density, four of seven studies reported a significant association. However, the evidence quality was low due to inconsistency. Conclusion The relationship between muscle mass, muscle strength, and bone density in older adults shows variability and inconsistent evidence.

This report describes an approach to recover SARS-CoV-2 RNA from rapid antigen test kit (RTK-antigen) cassettes for whole-genome sequencing (WGS). RNA samples were recovered from 33 RTK-antigen cassettes for WGS, with 18 samples achieving more than 80% genome coverage. This work provides a proof-of-concept that positive RTK-antigen cassettes can be safely transported, stored and subjected to WGS, enabling swift identification of circulating variants.

Background: The co-occurrence of frailty, sarcopenia, and malnutrition was well studied in inpatient and nursing home settings, which was associated with higher risk of all-cause mortality. Multicentre data in community-dwelling outpatient setting were lacking. We aimed to find the prevalence of frailty, possible sarcopenia and malnutrition, their overlap and the associated factors in community-dwelling older outpatients. Methods: We collected data from community-dwelling outpatients aged ≥60 years in Indonesian geriatric care centres to conduct this cross-sectional study with bivariate and multivariable analyses. Frailty, possible sarcopenia, and malnutrition diagnoses were based on FRAIL scale, Asian Working Group for Sarcopenia 2019 consensus, and Mini Nutritional Assessment Short Form, respectively. Results: The prevalence of frailty, possible sarcopenia, and malnutrition in community-dwelling older outpatients were 13.6%, 45.5%, and 5.3%, respectively. The prevalence of co-occurrence of frailty, possible sarcopenia and malnutrition was 3.3%. It was associated with transient ischemic attack (TIA) and cerebrovascular accident (odds ratio [OR]=5.53, 95% confidence interval [CI] 1.48–20.61), cognitive impairment (OR=3.70, 95% CI 1.21–11.31), and dependent functional capacity (OR=11.62, 95% CI 3.38–39.99). Overlap of three evaluated syndromes was found in 24.1%, 7.2%, and 61.3% of subjects with frailty, possible sarcopenia, and malnutrition, respectively. It was characterized by a substantial proportion of female sex, older adults with low educational attainment, diabetes mellitus, hypertension, cognitive impairment, multimorbidity, and dependent functional status. Conclusion Approximately 1 in 30 community-dwelling older outpatients had overlapping frailty, possible sarcopenia, and malnutrition. The condition is associated with TIA and cerebrovascular accident, cognitive impairment, and dependent functional capacity. Standardized screening in community-dwelling older population is necessary.

Background: Understanding the relationship between muscle mass, muscle strength, and bone density in older adults is crucial for addressing age-related conditions like osteoporosis and sarcopenia. This review aims to evaluate the relationship between muscle mass and muscle strength with bone density in older adults. Methods: This systematic review, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, involved a comprehensive search across seven databases from 2014 to April 2024. Included were observational studies in English and Indonesian on adults aged 60 and older. The Appraisal Tool for Cross-Sectional Studies (AXIS) tool assessed the risk of bias, and the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework evaluated the evidence quality. Study selection was independently reviewed, and consensus was reached through discussion. Results: Ten studies were included. For muscle mass and bone density, five studies showed a significant association, while four did not. For muscle strength and bone density, four of seven studies reported a significant association. However, the evidence quality was low due to inconsistency. Conclusion The relationship between muscle mass, muscle strength, and bone density in older adults shows variability and inconsistent evidence.

Background: The co-occurrence of frailty, sarcopenia, and malnutrition was well studied in inpatient and nursing home settings, which was associated with higher risk of all-cause mortality. Multicentre data in community-dwelling outpatient setting were lacking. We aimed to find the prevalence of frailty, possible sarcopenia and malnutrition, their overlap and the associated factors in community-dwelling older outpatients. Methods: We collected data from community-dwelling outpatients aged ≥60 years in Indonesian geriatric care centres to conduct this cross-sectional study with bivariate and multivariable analyses. Frailty, possible sarcopenia, and malnutrition diagnoses were based on FRAIL scale, Asian Working Group for Sarcopenia 2019 consensus, and Mini Nutritional Assessment Short Form, respectively. Results: The prevalence of frailty, possible sarcopenia, and malnutrition in community-dwelling older outpatients were 13.6%, 45.5%, and 5.3%, respectively. The prevalence of co-occurrence of frailty, possible sarcopenia and malnutrition was 3.3%. It was associated with transient ischemic attack (TIA) and cerebrovascular accident (odds ratio [OR]=5.53, 95% confidence interval [CI] 1.48–20.61), cognitive impairment (OR=3.70, 95% CI 1.21–11.31), and dependent functional capacity (OR=11.62, 95% CI 3.38–39.99). Overlap of three evaluated syndromes was found in 24.1%, 7.2%, and 61.3% of subjects with frailty, possible sarcopenia, and malnutrition, respectively. It was characterized by a substantial proportion of female sex, older adults with low educational attainment, diabetes mellitus, hypertension, cognitive impairment, multimorbidity, and dependent functional status. Conclusion Approximately 1 in 30 community-dwelling older outpatients had overlapping frailty, possible sarcopenia, and malnutrition. The condition is associated with TIA and cerebrovascular accident, cognitive impairment, and dependent functional capacity. Standardized screening in community-dwelling older population is necessary.

Background: Understanding the relationship between muscle mass, muscle strength, and bone density in older adults is crucial for addressing age-related conditions like osteoporosis and sarcopenia. This review aims to evaluate the relationship between muscle mass and muscle strength with bone density in older adults. Methods: This systematic review, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, involved a comprehensive search across seven databases from 2014 to April 2024. Included were observational studies in English and Indonesian on adults aged 60 and older. The Appraisal Tool for Cross-Sectional Studies (AXIS) tool assessed the risk of bias, and the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework evaluated the evidence quality. Study selection was independently reviewed, and consensus was reached through discussion. Results: Ten studies were included. For muscle mass and bone density, five studies showed a significant association, while four did not. For muscle strength and bone density, four of seven studies reported a significant association. However, the evidence quality was low due to inconsistency. Conclusion The relationship between muscle mass, muscle strength, and bone density in older adults shows variability and inconsistent evidence.

Gastroesophageal reflux disease (GERD) is a common digestive disorder that affects millions of people worldwide. Reflux of gastric acid may cause oral acidification that can induce teeth demineralization. Destruction of dental hard tissue by acid reflux necessitates a combine approach involving medical and dental profession. This pilot study aims to assess associationbetween enamel erosion and GERD, and estimate prevalence of enamel erosion among GERD patients. A total of 22 patients (GERD and control) were involved in this case-control study. Dental charting was done using five-point ordinal scales of modified Tooth Wear Evaluation System (TWES 2.0). Cohen’s Kappa Coefficient was used for assessment of intra-rater and inter-rater reliability. Fisher’s Exact Test was used to determine association between enamel erosion and GERD, reflecting prevalence. Out of 11 GERD patients, 63.6% exhibit enamel erosion, whereas only 9.1% ofcontrol patient presented with enamel erosion. Fisher’s Exact Test showed a significant prevalence of enamel erosion in GERD patients (p=0.024).This study showeda clear association between enamelerosion and GERD, and it can be considered as an oral manifestation in patient with GERD. Future study involving large sample size is recommended to show clear statistical evidence ofassociation betweenenamel erosion and GERD.