scholarly journals Reducing occupational sitting time in adults with type 2 diabetes: Qualitative experiences of an office‐adapted mHealth intervention

2021 ◽  
Author(s):  
Maria B. Syrjälä ◽  
Eva Fharm ◽  
Paddy C. Dempsey ◽  
Maria Nordendahl ◽  
Patrik Wennberg
Keyword(s):  
Type 2 Diabetes ◽  
Sitting Time ◽  
Occupational Sitting ◽  
Mhealth Intervention

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 Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes

2015 ◽  
Vol 23 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Lyndsay A Nelson ◽  
Shelagh A Mulvaney ◽  
Tebeb Gebretsadik ◽  
Yun-Xian Ho ◽  
Kevin B Johnson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Depressive Symptoms ◽  
Medication Adherence ◽  
Health Literacy ◽  
Low Income ◽  
Mhealth Intervention ◽  
Lower Health ◽  
The Relationship ◽  
Lower Health Literacy

Abstract Objective Mobile health (mHealth) interventions may improve diabetes outcomes, but require engagement. Little is known about what factors impede engagement, so the authors examined the relationship between patient factors and engagement in an mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes (T2DM). Materials and Methods Eighty patients with T2DM participated in a 3-month mHealth intervention called MEssaging for Diabetes that leveraged a mobile communications platform. Participants received daily text messages addressing and assessing medication adherence, and weekly interactive automated calls with adherence feedback and questions for problem solving. Longitudinal repeated measures analyses assessed the relationship between participants’ baseline characteristics and the probability of engaging with texts and calls. Results On average, participants responded to 84.0% of texts and participated in 57.1% of calls. Compared to Whites, non-Whites had a 63% decreased relative odds (adjusted odds ratio [AOR] = 0.37, 95% confidence interval [CI], 0.19-0.73) of participating in calls. In addition, lower health literacy was associated with a decreased odds of participating in calls (AOR = 0.67, 95% CI, 0.46-0.99, P = .04), whereas older age ( Pnonlinear = .01) and more depressive symptoms (AOR = 0.62, 95% CI, 0.38-1.02, P = .059) trended toward a decreased odds of responding to texts. Conclusions Racial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement.

Does Interrupting Prolonged Sitting With 10- or 20-Min Standing Attenuate Postprandial Glycemia and Blood Pressure in Middle-Aged and Older Adults With Type 2 Diabetes?

2020 ◽  
pp. 1-8
Author(s):  
Yuri A. Freire ◽  
Carlos A. Silva ◽  
Geovani A. D. Macêdo ◽  
Rodrigo A. V. Browne ◽  
Bruno M. de Oliveira ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Area Under The Curve ◽  
Acute Effect ◽  
Sitting Time ◽  
Middle Aged ◽  
Postprandial Glycemia ◽  
Prolonged Sitting

We carried out three types of 2-hr experimental sessions with middle-aged and older adults with Type 2 diabetes in order to examine the acute effect of interrupting prolonged sitting with varying periods of standing on postprandial glycemia and blood pressure (BP): (a) prolonged sitting after breakfast; (b) standing for 10 min, 30 min after breakfast; and (c) standing for 20 min, 30 min after breakfast. Glucose and BP were assessed before and after breakfast. A generalized linear model revealed no significant differences for the incremental area under the curve of glucose between standing for 10 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = –4.5 mg/dl/2 hr, 95% CI [–17.3, 8.4]) and standing for 20 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = 0.9 mg/dl/2 hr, 95% CI [–11.9, 13.7]). There was no difference in area under the curve of systolic and diastolic BP among the sessions. Interrupting prolonged sitting time with 10 or 20 min of standing 30 min after breakfast does not attenuate postprandial glycemia or BP in middle-aged and older adults with Type 2 diabetes.

scholarly journals The Design, Usability, and Feasibility of a Family-Focused Diabetes Self-Care Support mHealth Intervention for Diverse, Low-Income Adults with Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Lindsay Satterwhite Mayberry ◽  
Cynthia A. Berg ◽  
Kryseana J. Harper ◽  
Chandra Y. Osborn
Keyword(s):  
Type 2 Diabetes ◽  
Low Socioeconomic Status ◽  
Low Income ◽  
Family Members ◽  
Self Care ◽  
Text Messages ◽  
User Engagement ◽  
Mhealth Intervention ◽  
Care Support

Family members’ helpful and harmful actions affect adherence to self-care and glycemic control among adults with type 2 diabetes (T2D) and low socioeconomic status. Few family interventions for adults with T2D address harmful actions or use text messages to reach family members. Through user-centered design and iterative usability/feasibility testing, we developed a mHealth intervention for disadvantaged adults with T2D called FAMS. FAMS delivers phone coaching to set self-care goals and improve patient participant’s (PP) ability to identify and address family actions that support/impede self-care. PPs receive text message support and can choose to invite a support person (SP) to receive text messages. We recruited 19 adults with T2D from three Federally Qualified Health Centers to use FAMS for two weeks and complete a feedback interview. Coach-reported data captured coaching success, technical data captured user engagement, and PP/SP interviews captured the FAMS experience. PPs were predominantly African American, 83% had incomes <$35,000, and 26% were married. Most SPs (n=7) were spouses/partners or adult children. PPs reported FAMS increased self-care and both PPs and SPs reported FAMS improved support for and communication about diabetes. FAMS is usable and feasible and appears to help patients manage self-care support, although some PPs may not have a SP.

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 ‘MOVEdiabetes’: a cluster randomized controlled trial to increase physical activity in adults with type 2 diabetes in primary health in Oman

2018 ◽  
Vol 6 (1) ◽  
pp. e000605 ◽  
Author(s):  
Thamra S Alghafri ◽  
Saud Mohamed Alharthi ◽  
Yahya Al-Farsi ◽  
Abdul Hakeem Alrawahi ◽  
Elaine Bannerman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Controlled Trial ◽  
Health Centers ◽  
Sitting Time ◽  
Randomized Controlled ◽  
Primary Health ◽  
Cluster Randomized

ObjectiveThis study examined the impact of a multicomponent intervention to increase physical activity (PA) in adults with type 2 diabetes (T2D) in Oman.Research design and methodsThis is a cluster randomized controlled trial in eight primary health centers. Participants were physically inactive, aged ≥18 years, and with no contraindication to PA. Patients attending intervention health centers (n=4) received the ‘MOVEdiabetes’ intervention, which consisted of personalized, individual face-to-face consultations by dietitians. Pedometers and monthly telephone WhatsApp messages were also used. Patients attending comparison health centers received usual care. The primary outcome was change in PA [Metabolic Equivalent(MET).min/week] after 12 months assessed by the Global Physical Activity Questionnaire. The secondary outcomes were changes in daily step counts, sitting time, weight, body mass index, glycated hemoglobin, blood pressure and lipids.ResultsOf the 232 participants (59.1% female, mean (SD) age 44.2 (8.1) years), 75% completed the study. At 12 months, the mean change in MET.min/week was +631.3 (95% CI 369.4 to 893.2) in the intervention group (IG) vs +183.2 (95% CI 83.3 to 283.0) in the comparison group, with a significant between-group difference of +447.4 (95% CI 150.7 to 744.1). The odds of meeting PA recommendations were 1.9 times higher in the IG (95% CI 1.2 to 3.3). Significant between-group differences in favor of IG were detected for mean steps/day (+757, 95% CI 18 to 1531) and sitting time hours/ per day (−1.5, 95% CI −2.4 to −0.7). Clinical measures of systolic and diastolic blood pressure and triglycerides also showed significant intervention effects.Conclusions‘MOVEdiabetes’ was effective in increasing PA, the likelihood of meeting PA recommendations, and providing cardioprotective benefits in adults with T2D attending primary care.

scholarly journals The effect of an mHealth intervention for titration of insulin for type 2 diabetes: A pilot study

2019 ◽  
Vol 19 (5) ◽  
pp. 386-392 ◽  
Author(s):  
Siân E Bramwell ◽  
Gideon Meyerowitz-Katz ◽  
Caleb Ferguson ◽  
Rajini Jayaballa ◽  
Mark McLean ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Insulin Dose ◽  
Smartphone Application ◽  
Ease Of Use ◽  
Mhealth Intervention ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Reduced Frequency ◽  
History Of

Background: Stabilising blood glucose levels (BGL) after starting or changing insulin and related therapies can be challenging for diabetes services and the patient with type 2 diabetes. Traditionally, a credentialled diabetes educator (CDE) would talk with the patient over the phone to obtain a history of their BGLs over the previous week and provide advice on the insulin dose adjustments as required. This study trialled a smartphone application for sharing BGLs, with the ability to digitally transmit advice back to patients compared with their usual care. Aims: The aim of this study was to compare desirability, efficiency and ease of use. Methods: Participants were enrolled in either the traditional ( n=50) or Health2Sync (H2S) ( n=42) treatment group by patient preference. All insulin stabilisations were conducted by the CDE. Descriptive statistics were used for analysis. Results: The average total time taken to titrate patients was similar in both groups ( p>0.05), however there were fewer failure of contacts reported with H2S ( p<0.01) and time per interaction was also lower ( p<0.01). Sensitivity analysis revealed that, excluding the influence of no contacts, H2S patients had a lower average time for titration ( p<0.01). There was no difference in clinical outcomes as measured by HbA1c between the two groups ( p=0.75). Conclusion: We demonstrated a high acceptance and clinical utility of the H2S application. Clinicians were happy to use H2S and found it easy and convenient for most patients. Importantly, this reduced frequency of contacts with patients, time per interaction and average time for titration ( p<0.01). Patient selection for this communication intervention is important.

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