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  1. Mohd Safien A, Ibrahim N, Subramaniam P, Shahar S, Din NC, Ismail A, et al.
    Gerontol Geriatr Med, 2021 08 11;7:23337214211025167.
    PMID: 34395815 DOI: 10.1177/23337214211025167
    Aim: The goal is to explore available evidence and provide greater clarity to what is described as psychosocial intervention to improve cognitive function among older population with MCI as well as identifying areas for future research. Methods: An electronic literature search of PubMed, Cochrane, Ebscohost, Medline, Scopus, and gray resource was conducted to find articles published in English language between 2010 and September 2020. This review focused on research undertaken using randomized clinical trials study design. We extracted information regarding the publication date, geographical location, study setting, intervention mechanism, type of cognitive measurement used, and outcome of the studies. References of this literature were also reviewed to ensure comprehensive search. Result: Out of 240 potential records found, a total of 27 articles were identified following the first round of screening and deletion of duplicates. Full-text article reviews and analysis in the second round of screening narrowed the selection down to four articles. Another three relevant articles obtained from references were also included making a total of seven articles in the final analysis. Findings: Psychosocial intervention strategies for improvement of cognitive function, done in various setting all over the globe, covered a range of approaches including art therapy, visual art therapy, therapeutic writing therapy, reminiscence activity, and cognitive behavioral approach. Most were conducted in weekly basis within 1-to-2-hour duration of session. Cognitive function of older adult in psychosocial intervention group was significantly improved in two studies. Three studies showed no significant improvement at all in the cognitive function, and another one reported success in improving cognitive function over time in the intervention group than in control group. One study did not describe the interaction effect. Different types of cognitive measurement also were used to quantify different domains of cognitive function in the reviewed studies. Conclusion: The idea of using psychosocial intervention for improving cognitive function has begun to increasingly accepted recently. Findings from the limited studies are encouraging, although the outcome of the cognitive function was mixed. Large-scale and longer duration of psychosocial intervention with bigger sample size is warranted for future studies.
  2. Ooi TC, Mat Ludin AF, Loke SC, Fiatarone Singh MA, Wong TW, Vytialingam N, et al.
    Gerontol Geriatr Med, 2021 08 12;7:23337214211038789.
    PMID: 34409130 DOI: 10.1177/23337214211038789
    Research has proven that aerobic exercise improves glucose homeostasis among patients with type 2 diabetes mellitus (T2DM). Elastic resistance (tube or band) is suggested as a good alternative for home-based strength training among older adults including those with T2DM due to its low cost, simplicity, portability, and versatility. This study aimed to measure the effects of 16-week home-based progressive resistance training (PRT), using a resistance tube on glucose homeostasis and cardiovascular risk factors among older adults with T2DM. A total of 70 participants aged 61.68 (5.50) years with T2DM were assigned to the intervention (n = 35) and control (n = 35) groups in this quasi-experimental trial. The intervention group underwent 16 weeks of home-based PRT using a resistance tube. Significant improvements in HbA1c (-1.34% point, p < 0.001), fasting blood glucose (-1.30 mmol/L, p < 0.001), and systolic blood pressure (-1.42 mmHg, p < 0.05) were observed after 16 weeks of intervention. However, no significant changes were observed in lipid profile, diastolic blood pressure, resting heart rate, and ankle-brachial index. The finding suggests that 16 weeks of home-based PRT using a resistance tube has the potential to improve glycemic control and reduce systolic blood pressure among older adults with T2DM and caused no adverse events.
  3. Wickramarachchi BI, Siop SJ, Perera B
    Gerontol Geriatr Med, 2021 06 11;7:23337214211023684.
    PMID: 34179299 DOI: 10.1177/23337214211023684
    Physical inactivity is a vital risk factor for the development and maintenance of chronic ill-health conditions among older adults. This study examined personal factors associated with physical activity (PA) behavior of urban-dwelling older adults in Sri Lanka, a middle-income country in South Asia. A total of 880 older adults (aged ≥60 years) participated in this cross-sectional study. They responded to anthropometrical, health, and socio-demographic data pertaining to their current physical and behavioral status. The mean age of the participants was 70.1 years (SD ±6.0), and the majority (75%) were women. Increasing age, male gender, middle income, having cardiovascular diseases or arthritis, deficiencies in muscle strength and balance, pain, and lower self-rated health were associated with insufficient PA behavior among the participants. Old-age physical activity promotion programs should target older adults in advanced ages and men in particularly, as they are highly vulnerable to sedentary lifestyles. Muscle strength and balance, a neglected area in PA promotion in older adults, seem to play an important role in older adults' participation in physical activities. Incorporation of pain management, and muscle strength and balance techniques into older adults' PA promotion programs would probably increase adherence rates of the participants in such programs.
  4. Izawa KP, Oka K
    Gerontol Geriatr Med, 2018 10 25;4:2333721418808117.
    PMID: 30386811 DOI: 10.1177/2333721418808117
    This study aimed to determine differences in sitting behavior time (SBT) and health-related quality of life (HRQOL) based on application of the transtheoretical model (TTM) to exercise behavior in overseas-dwelling Japanese. SBT, HRQOL, and various sociodemographic factors were measured in 108 Japanese living in Ipoh, Malaysia. Subjects were classified into the non-exercise (NE), preparation (P), and exercise (E) groups. Workday, non-workday, and total-day SBTs were identified by self-reported questionnaire. The mental component summary (MCS) score for HRQOL was also assessed with the Medical Outcome Study 36-Item Short Form Health Survey (Japanese version). Differences in SBTs and HRQOL based on the TTM were calculated by one-way analysis of variance (ANOVA). After adjusting for sociodemographic factors, there were differences in workday (F = 8.19, p < .001), non-workday (F = 5.96, p = .001), and total-day (F = 9.30, p < .001) SBTs and MCS scores (F = 10.29, p < .001). Non-workday (338.6 ± 210.8 vs. 510.5 ± 213.4 min, p < .05) and total-day (376.8 ± 181.1 vs. 511.8 ± 183.3 min, p < .05) SBTs were lower and the MCS score (53.9 ± 9.5 vs. 48.4 ± 9.6, p < .05) for HRQOL was higher in the E group versus P group. These differences in SBT and HRQOL in relation to exercise behavior indicate that promotion of exercise behavior may be an important public health strategy to reduce SBT and increase HRQOL in overseas-dwelling Japanese.
  5. Wickramarachchi B, Torabi MR, Perera B
    Gerontol Geriatr Med, 2023;9:23337214231158476.
    PMID: 36860700 DOI: 10.1177/23337214231158476
    A cross-sectional survey was done to investigate the pathways the physical activity acts in improving physical fitness and functional outcomes of older adults (60 years and above) using 880 community-dwelling older adults in Sri Lanka. Structural Equation Modeling (SEM) was used. The final SEM model included five latent factors and 14 co-variances. Goodness of Fit Index (GFI), Comparative fit index (CFI) and Root Mean Square Error of Approximation (RMSEA) values of the model were 0.95, 0.93, 0.91, and 0.05 respectively, indicating a good model fit. Strength enhances balance (β = .52, p 
  6. Abdul Rahman K, Ahmad SA, Che Soh A, Ashari A, Wada C, Gopalai AA
    Gerontol Geriatr Med, 2023;9:23337214221148245.
    PMID: 36644687 DOI: 10.1177/23337214221148245
    Engineering invention must be in tandem with public demands. Often it is difficult to identify the priorities of consumers where technological advancement is needed. In line with the global challenge of increasing fall prevalence among older adults, providing prevention solutions is the key. This study aims at developing an improved fall detection device using an approach called Quality Function Deployment (QFD). The goal is to investigate features to incorporate in existing device from consumer's perspectives. A three-phases design process is constructed; (1) Questionnaire, (2) Ishikawa Method, and (3) QFD. The proposed method begins with identifying customer needs as the requirement analysis, followed by a method to convert them to design specifications to be added in a fall detection device using QFD tool. As the top feature is monitoring balance, the new improved fall detection devices incorporating balance features will help older adults to monitor their level of risk of falling.
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