Mobile Device Ownership, Current Use, and Interest in Mobile Health Interventions among Low-income Older Chinese Immigrants with Type 2 Diabetes (Preprint)

2021 ◽  
Author(s):  
Lu Hu ◽  
Chau Trinh-Shevrin ◽  
Nadia Islam ◽  
Bei Wu ◽  
Shimin Cao ◽  
...  
Keyword(s):  
High School ◽  
Type 2 Diabetes ◽  
Social Media ◽  
Mobile Health ◽  
Mobile Device ◽  
Chinese Immigrants ◽  
Mhealth Intervention ◽  
The Past ◽  
Health Related

BACKGROUND Chinese immigrants suffer disproportionately high type 2 diabetes (T2D) burden and have poorly controlled disease. Mobile health (mHealth) interventions have been shown to increase access and improve chronic disease management in minority populations. However, such interventions have not been developed for or tested in Chinese immigrants with T2D. OBJECTIVE This study sought to examine mobile device ownership, current use, and interest in mHealth interventions in Chinese immigrants with T2D. We also examined predictors of current use of mHealth. METHODS In a cross-sectional survey, Chinese immigrants with T2D were recruited from Chinese community centers in New York City. Sociodemographics, mobile device ownership, current use of social media software applications, use of mobile phones or computers to watch a health-related video in the past 12 months, and interest in using mHealth for T2D management were assessed. Surveys were administered, face-to-face, by bilingual study staff in the participant’s preferred language. Descriptive statistics were used to characterize the study sample and summarize technology use. Multivariable logistic regression modeling was performed to examine factors associated with whether participants watched a health-related video in the past 12 months. RESULTS The sample (N=91) was predominantly female (62.6%), married (74.7%), and had a high school degree or less (63.7%), an annual household income of less than $25,000 (69.2%), and limited English proficiency (85.7%); with a mean age of 70.2 years (SD=11.4). Almost all (98.9%) participants had a mobile device (e.g., basic cell phones, smart devices), and the majority (91.2%) reported owning a smart device (e.g., smartphone or tablet). WeChat was the most commonly used social media software application (71.4%), and 37.4% reported watching a health-related video in the last 12 months. Younger participants (age 65 or below) with a higher level of education (some college or above) were more likely to watch a health-related video in the past 12 months. Employment status and income were not significant in the multivariate model. Although most of our sample were older immigrants and reported a high school education or less, the majority (75.8%) reported interest in receiving an mHealth intervention in the future to help them with T2D management. CONCLUSIONS Given the high level of mobile device ownership and interest in mHealth interventions, our study shows that mHealth may be a promising approach to deliver T2D education and counseling to this fast-growing minority group. Future mHealth intervention studies targeting Chinese immigrants with T2D may need to provide more technology training and support to older individuals with limited education. CLINICALTRIAL N/A

scholarly journals Mobile Device Ownership, Current Use, and Interest in Mobile Health Interventions among Low-income Older Chinese Immigrants with Type 2 Diabetes (Preprint)

JMIR Aging ◽  
10.2196/27355 ◽  
2021 ◽  
Author(s):  
Lu Hu ◽  
Chau Trinh-Shevrin ◽  
Nadia Islam ◽  
Bei Wu ◽  
Shimin Cao ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mobile Health ◽  
Mobile Device ◽  
Low Income ◽  
Chinese Immigrants ◽  
Health Interventions ◽  
Older Chinese

scholarly journals Efficacy of a Self-Regulation–Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials

10.2196/13363 ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. e13363 ◽  
Author(s):  
Louise Poppe ◽  
Ilse De Bourdeaudhuij ◽  
Maïté Verloigne ◽  
Samyah Shadid ◽  
Jelle Van Cauwenberg ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mobile Health ◽  
Intervention Group ◽  
Sitting Time ◽  
Control Group ◽  
Controlled Trials ◽  
Active Lifestyle ◽  
Mhealth Intervention ◽  
Randomized Controlled

Background Adopting an active lifestyle plays a key role in the prevention and management of chronic diseases such as type 2 diabetes mellitus (T2DM). Web-based interventions are able to alter health behaviors and show stronger effects when they are informed by a behavior change theory. MyPlan 2.0 is a fully automated electronic health (eHealth) and mobile health (mHealth) intervention targeting physical activity (PA) and sedentary behavior (SB) based on the Health Action Process Approach (HAPA). Objective This study aimed to test the short-term effect of MyPlan 2.0 in altering levels of PA and SB and in changing personal determinants of behavior in adults with T2DM and in adults aged ≥50 years. Methods The study comprised two randomized controlled trials (RCTs) with an identical design. RCT 1 was conducted with adults with T2DM. RCT 2 was performed in adults aged ≥50 years. Data were collected via face-to-face assessments. The participants decided either to increase their level of PA or to decrease their level of SB. The participants were randomly allocated with a 2:1 ratio to the intervention group or the waiting-list control group. They were not blinded for their group allocation. The participants in the intervention group were instructed to go through MyPlan 2.0, comprising 5 sessions with an interval of 1 week between each session. The primary outcomes were objectively measured and self-reported PA (ie, light PA, moderate-to-vigorous PA, total PA, number of steps, and domain-specific [eg, transport-related] PA) and SB (ie, sitting time, number of breaks from sitting time, and length of sitting bouts). Secondary outcomes were self-reported behavioral determinants for PA and SB (eg, self-efficacy). Separate linear mixed models were performed to analyze the effects of MyPlan 2.0 in the two samples. Results In RCT 1 (n=54), the PA intervention group showed, in contrast to the control group, a decrease in self-reported time spent sitting (P=.09) and an increase in accelerometer-measured moderate (P=.05) and moderate-to-vigorous PA (P=.049). The SB intervention group displayed an increase in accelerometer-assessed breaks from sedentary time in comparison with the control group (P=.005). A total of 14 participants of RCT 1 dropped out. In RCT 2 (n=63), the PA intervention group showed an increase for self-reported total PA in comparison with the control group (P=.003). Furthermore, in contrast to the control group, the SB intervention group decreased their self-reported time spent sitting (P=.08) and increased their accelerometer-assessed moderate (P=.06) and moderate-to-vigorous PA (P=.07). A total of 8 participants of RCT 2 dropped out. Conclusions For both the samples, the HAPA-based eHealth and mHealth intervention, MyPlan 2.0, was able to improve only some of the primary outcomes. Trial Registration ClinicalTrials.gov NCT03291171; http://clinicaltrials.gov/ct2/show/NCT03291171. ClinicalTrials.gov NCT03799146; http://clinicaltrials.gov/ct2/show/NCT03799146. International Registered Report Identifier (IRRID) RR2-10.2196/12413

scholarly journals Efficacy of a Self-Regulation–Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials (Preprint)

2019 ◽  
Author(s):  
Louise Poppe ◽  
Ilse De Bourdeaudhuij ◽  
Maïté Verloigne ◽  
Samyah Shadid ◽  
Jelle Van Cauwenberg ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mobile Health ◽  
Intervention Group ◽  
Sitting Time ◽  
Control Group ◽  
Controlled Trials ◽  
Active Lifestyle ◽  
Mhealth Intervention ◽  
Randomized Controlled

BACKGROUND Adopting an active lifestyle plays a key role in the prevention and management of chronic diseases such as type 2 diabetes mellitus (T2DM). Web-based interventions are able to alter health behaviors and show stronger effects when they are informed by a behavior change theory. MyPlan 2.0 is a fully automated electronic health (eHealth) and mobile health (mHealth) intervention targeting physical activity (PA) and sedentary behavior (SB) based on the Health Action Process Approach (HAPA). OBJECTIVE This study aimed to test the short-term effect of MyPlan 2.0 in altering levels of PA and SB and in changing personal determinants of behavior in adults with T2DM and in adults aged ≥50 years. METHODS The study comprised two randomized controlled trials (RCTs) with an identical design. RCT 1 was conducted with adults with T2DM. RCT 2 was performed in adults aged ≥50 years. Data were collected via face-to-face assessments. The participants decided either to increase their level of PA or to decrease their level of SB. The participants were randomly allocated with a 2:1 ratio to the intervention group or the waiting-list control group. They were not blinded for their group allocation. The participants in the intervention group were instructed to go through MyPlan 2.0, comprising 5 sessions with an interval of 1 week between each session. The primary outcomes were objectively measured and self-reported PA (ie, light PA, moderate-to-vigorous PA, total PA, number of steps, and domain-specific [eg, transport-related] PA) and SB (ie, sitting time, number of breaks from sitting time, and length of sitting bouts). Secondary outcomes were self-reported behavioral determinants for PA and SB (eg, self-efficacy). Separate linear mixed models were performed to analyze the effects of MyPlan 2.0 in the two samples. RESULTS In RCT 1 (n=54), the PA intervention group showed, in contrast to the control group, a decrease in self-reported time spent sitting (P=.09) and an increase in accelerometer-measured moderate (P=.05) and moderate-to-vigorous PA (P=.049). The SB intervention group displayed an increase in accelerometer-assessed breaks from sedentary time in comparison with the control group (P=.005). A total of 14 participants of RCT 1 dropped out. In RCT 2 (n=63), the PA intervention group showed an increase for self-reported total PA in comparison with the control group (P=.003). Furthermore, in contrast to the control group, the SB intervention group decreased their self-reported time spent sitting (P=.08) and increased their accelerometer-assessed moderate (P=.06) and moderate-to-vigorous PA (P=.07). A total of 8 participants of RCT 2 dropped out. CONCLUSIONS For both the samples, the HAPA-based eHealth and mHealth intervention, MyPlan 2.0, was able to improve only some of the primary outcomes. CLINICALTRIAL ClinicalTrials.gov NCT03291171; http://clinicaltrials.gov/ct2/show/NCT03291171. ClinicalTrials.gov NCT03799146; http://clinicaltrials.gov/ct2/show/NCT03799146. INTERNATIONAL REGISTERED REPOR RR2-10.2196/12413

scholarly journals COVID-19, Type-2 Diabetes, and Associated Health Outcomes in China: Results from a Nationwide Survey of 10,545 Adults

2020 ◽  
Author(s):  
Zumin Shi ◽  
Alice Yan ◽  
Paul Zimmet ◽  
Xiaoming Sun ◽  
Nayla Cristina do Vale Moreira ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Social Media ◽  
Health Outcomes ◽  
Preventive Measures ◽  
Development Program ◽  
World Health ◽  
Increased Risk ◽  
Health Related ◽  
The Impact

AbstractObjectiveThis study examined the associations between type-2 diabetes (T2DM) and self-reported/familial COVID-19 infection and investigated health-related outcomes among those with diabetes during China’s nationwide quarantine.MethodsThe 2020 China COVID-19 Survey was administered anonymously via social media (WeChat) across China. It was completed by 10,545 adults in all of mainland China’s 31 provinces. The survey consisted of 74 items covering sociodemographic characteristics, preventive measures for COVID-19, lifestyle behaviors, and health-related outcomes during the period of quarantine. Regression models examined associations among study variables, adjusting for covariates.ResultsDiabetes was associated with a six-fold increased risk of reporting COVID-19 infection among respondents or their family members. Among patients with diabetes, individuals who rarely wore masks had double the risk of suspected COVID-19 infection compared with those who always wore masks, with an inverse J-shaped relationship between face mask wearing and suspected COVID-19 infection. People with T2DM tended to have both poor knowledge of COVID-19 and poor compliance with preventive measures, despite perceiving a high risk of personal infection (40.0% among respondents reporting T2DM and 8.0% without T2DM). Only 54-55% of these respondents claimed to consistently practice preventive measures, including wearing face masks. Almost 60% of those with T2DM experienced food or medication shortages during the quarantine period, which was much higher than those without T2DM. Importantly, respondents who experienced medication shortages reported a 63% higher COVID-19 infection rate.ConclusionsT2DM was associated with an increased risk of self-reported personal and family member COVID-19 infection, which is mitigated by consistent use of face masks.FundingThe project is supported in part by research grants from the China Medical Board (Grant number: 16-262), the National Key Research and Development Program of China (Grant Number: 2017YFC0907200 & 2017YFC0907201), the University Alliance of the Silk Road (Grant number: 2020LMZX002), and Xi’an Jiaotong University Global Health Institute.Research in ContextEvidence before this studyDuring the COVID-19 pandemic, it has become increasingly clear that the risk factors for initial infection and subsequent poor health outcomes include, but are not limited to, social vulnerability, economic status, older age, and obesity. While community-wide masking has been recommended by the World Health Organization to control COVID-19, its overall effectiveness has not been clearly evaluated.Added value of this studyThrough an anonymous survey disseminated and promoted through WeChat, the largest social media platform in China, we sought to understand the impact of COVID-19 on the health, wellbeing, and health-related behaviors of adults in China. Specifically, this study examined how individuals with chronic diseases managed the threat, including their COVID-19 related knowledge, attitudes, and adherence to preventive measures such as wearing face masks, and their disease-related self-care.Implications of the available evidenceThis study demonstrates that type-2 diabetes mellitus is associated with an increased risk of COVID-19 infection, which is mitigated by consistent use of face masks.

Perceptions of Using Multiple Mobile Health Devices to Support Self‐Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study

2021 ◽  
Author(s):  
Allison A. Lewinski ◽  
Jacqueline Vaughn ◽  
Anna Diane ◽  
Angel Barnes ◽  
Matthew J. Crowley ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mobile Health ◽  
Descriptive Study ◽  
Self Management ◽  
Qualitative Descriptive

scholarly journals The Role of Lifestyle, Eating Habits and Social Environment in the Prevention and Treatment of Type 2 Diabetes and Hypertension

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1460
Author(s):  
Kalliopi Karatzi ◽  
Yannis Manios
Keyword(s):  
Type 2 Diabetes ◽  
Social Environment ◽  
Eating Habits ◽  
Health Problems ◽  
Major Health ◽  
The Past ◽  
Prevention And Treatment

Type 2 diabetes (T2DM) and hypertension are major health problems, with an undisputed growth burden in the past decades [...]

scholarly journals Reduced Health-Related Quality of Life in Body Constitutions of Yin-Xu, and Yang-Xu, Stasis in Patients with Type 2 Diabetes: Taichung Diabetic Body Constitution Study

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Chia-I Tsai ◽  
Yi-Chang Su ◽  
Shih-Yi Lin ◽  
I-Te Lee ◽  
Cheng-Hung Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Health Related Quality ◽  
Body Constitution ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
The Impact

Aim. To evaluate how health-related quality of life (HRQOL) and traditional Chinese medicine (TCM) constitutions of Yin-Xu, Yang-Xu, and Stasis are related in type 2 diabetes patients. Method. Seven hundred and five subjects were recruited in 2010 for this study from a Diabetes Shared Care Network in Taiwan. Generic and disease-specific HRQOL were assessed by the short form 36 (SF-36) and the diabetes impact measurement scale (DIMS). Constitutions of Yin-Xu, Yang-Xu, and Stasis were then assessed by the body constitution questionnaire (BCQ), a questionnaire consisting of 44 items that evaluate the physiological state based on subjective symptoms and signs. Results. Estimated effects of the Ying-Xu and Stasis on all scales of the SF-36 were significantly negative, while estimated effects of the Yang-Xu on all scales (except for SF, RE, MH, and MCS) were significantly negative. For DIMS, the estimated effects of the Ying-Xu and Stasis on all scales were significantly negative except for Stasis on well-being, while Yang-Xu has a significantly negative effect only on symptoms. Conclusions. This study demonstrates that TCM constitutions of Yin-Xu, Yang-Xu, and Stasis are closely related to a reduction in HRQOL. These findings support the need for further research into the impact of intervention for TCM constitutions on HRQOL in patients with type 2 diabetes.

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