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  1. Chiu CJ, Yu YC, Du YF, Yang YC, Chen JY, Wong LP, et al.
    JMIR Mhealth Uhealth, 2020 06 02;8(6):e14024.
    PMID: 32484448 DOI: 10.2196/14024
    BACKGROUND: Many technology-assisted innovations have been used to manage disease. However, most of these innovations are not broadly used by older adults due to their cost. Additionally, disease management through technology-assisted innovations has not been compared with other interventions.

    OBJECTIVE: In this study, we tested the employment of a free and widely used social and communication app to help older adults with diabetes manage their distress and glycemic control. We also compared the effectiveness of the app with 2 other methods, namely telephone and conventional health education, and determined which subgroup experiences the most effects within each intervention.

    METHODS: Adults aged ≥50 years with type 2 diabetes were recruited from Southern Taiwan (N=231) and were allocated to different 3-month interventions. Informed consent was obtained at the Ministry of Science and Technology and approved by the National Cheng Kung University Hospital Institutional Review Board (No. A-ER-102-425).

    RESULTS: Participants in the mobile-based group had significant reductions in hemoglobin A1c compared with the telephone-based and usual care groups (mean changes of -0.4%, 0.1%, and 0.03%, respectively; P=.02). Diabetes-specific distress decreased to a greater extent in the mobile-based group compared to the other 2 groups (mean changes of -5.16, -3.49, and -2.44, respectively, P=.02). Subgroup analyses further revealed that the effects on reducing blood glucose levels in the social and communication app groups were especially evident in patients with lower distress scores, and diabetes-related distress was especially evident in participants who were younger than 60 years or had higher educational levels.

    CONCLUSIONS: The findings of this study inform more flexible use of social and communication apps with in-person diabetes education and counselling.

  2. Chiu CJ, Li ML, Chang CM, Wu CH, Tan MP
    BMC Geriatr, 2021 07 10;21(1):420.
    PMID: 34246236 DOI: 10.1186/s12877-021-02300-z
    BACKGROUND: Prolonged life expectancy is associated with increased prevalence of chronic diseases. The aim of this study was to determine the different disability trajectories for the top ten leading causes of death in Taiwan .

    METHODS: A total of 2,431 participants aged 50-96 in 1996 from the Taiwan longitudinal study on aging (TLSA) who died from 1996 to 2016 were analyzed. Integration of Cause of Death Data and TLSA helped sort out participants who had died from the ten leading causes of death. The level of physical disability was evaluated with the Activities of Daily Living Scale (ADLs), ranging from 0 to 6 points, in 1996, 1999, 2003, 2007, and 2011. A multilevel model was used to investigate the levels and rates of change in disability development before death.

    RESULTS: The outcome of the research showed that the earliest group to experience physical limitation was individuals living with diabetes. The groups with the highest ADL scores were participants with diabetes, cerebrovascular disease, and hypertension-related diseases. Most groups reach ADL scores ≥ 1 (mild-level) during 4-6 years before death except chronic hepatitis and cirrhosis and injury.

    CONCLUSIONS: People who had died from the ten leading causes of death experienced different disability trajectories before death. The trajectory of the participants who had died from diabetes showed a unique pattern with the earliest occurrence and more severe deterioration in terms of development of disabilities. Disability trajectories provide a prediction of survival status for middle-aged and older adults associated with the ten leading causes of death.

  3. Wong LP, Chiu CJ, Alias H, Lee TS, Hu Z, Lin Y
    Front Public Health, 2021;9:710508.
    PMID: 34497793 DOI: 10.3389/fpubh.2021.710508
    Background: The objectives of this study were to investigate risk perceptions and travel intention among the general public in Taiwan during the COVID-19 outbreak. Methods: This study used a cross-sectional online survey to collect data. The questionnaire was disseminated via the social media platform (LINE and Facebook) to the general public. Results: A total of 3,237 complete responses were received, of whom 5.8% (95% CI 5.1-6.7) of the participants reported intent to travel to overseas countries with an apparent community spread and 5.5% (95% CI 4.7-6.3) reported intent to travel to other overseas countries in the next 1 month. A relatively higher proportion (46.5%; 95% CI 44.7-48.2) reported intention for domestic travelling. Participants who viewed travelling to only be risky for older adults or those with medical conditions (OR = 2.19; 95% CI 1.38-3.47) and who perceived that one will not get infected if one takes recommended precautionary measures (OR = 3.12; 95% CI 1.85-5.27) reported higher travelling intention to overseas countries with an apparent community spread. Conclusions: Overall, the findings suggest that risk perceptions were depicted as a strong influence of travel intentions.
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