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  1. Teo BW, Toh QC, Chan XW, Xu H, Li JL, Lee EJ
    Asia Pac J Clin Nutr, 2014;23(4):619-25.
    PMID: 25516320 DOI: 10.6133/apjcn.2014.23.4.01
    Clinical practice guidelines recommend objective nutritional assessments in managing chronic kidney disease (CKD) patients but were developed while referencing to a North-American population. Specific recommendations for assessing muscle mass were suggested (mid-arm circumference, MAC; corrected mid-arm muscle area, cAMA; mid-arm muscle circumference, MAMC). This study aimed to assess correlation and association of these assessments with dietary protein intake in a multi-ethnic Asian population of healthy and CKD patients.
  2. Chan JK, Marzuki AA, Vafa S, Thanaraju A, Yap J, Chan XW, et al.
    BMC Psychol, 2024 Apr 26;12(1):237.
    PMID: 38671542 DOI: 10.1186/s40359-024-01715-8
    BACKGROUND: Covid-19 has disrupted the lives of many and resulted in high prevalence rates of mental disorders. Despite a vast amount of research into the social determinants of mental health during Covid-19, little is known about whether the results are consistent with the social gradient in mental health. Here we report a systematic review of studies that investigated how socioeconomic condition (SEC)-a multifaceted construct that measures a person's socioeconomic standing in society, using indicators such as education and income, predicts emotional health (depression and anxiety) risk during the pandemic. Furthermore, we examined which classes of SEC indicators would best predict symptoms of emotional disorders.

    METHODS: Following PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into 'actual versus perceived' and 'static versus fluid' classes to explore their differential effects on emotional health.

    RESULTS: Out of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed 'expected' results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst.

    CONCLUSIONS: This review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.

  3. Vafa S, Thanaraju A, Chan JK, Harris HA, Chan XW, Todi K, et al.
    Appl Psychol Health Well Being, 2025 Feb;17(1):e12651.
    PMID: 39822168 DOI: 10.1111/aphw.12651
    Physical and cognitive interventions are deemed the primary methods of improving cognitive functioning in healthy older adults. However, the effectiveness of these interventions is still debated. This systematic review, synthesised findings from the literature on four different types of interventions: physical activities, cognitive training, cognitive stimulation and a combined intervention. We searched six databases for each intervention category. Findings demonstrated that 65% of the studies across all intervention groups reported improvement in the experimental group following the intervention. Furthermore, memory, executive and global cognitive functions were the most reported improvements post-intervention. Additionally, participants with higher education benefited more from cognitive training (an intervention that targets a specific cognitive domain), while those with lower education gained more following cognitive stimulation (an intervention that targets general domains). Lastly, in sub-types of physical activity, cognitive stimulation and combined category, longer durations (more than 20 sessions) were associated with significant cognitive improvements. Conversely, in cognitive training, having less than 20 sessions led to significant results. Findings indicated an interaction of education and intervention duration with significant outcomes post-intervention. In conclusion, this review demonstrated the importance of intervention type, duration and education in understanding cognitive improvement post-intervention.
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