scholarly journals Awareness Development and Usage of Mobile Health Technology Among Individuals With Hypertension in a Rural Community of Bangladesh: Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Yasmin Jahan ◽  
Md Moshiur Rahman ◽  
Abu S G Faruque ◽  
Mohammod Jobayer Chisti ◽  
Kana Kazawa ◽  
...  

BACKGROUND Hypertension (HTN) is a major modifiable risk factor and the leading cause of premature deaths globally. The lack of awareness and knowledge have been identified as risk factors in low- and middle-income countries including Bangladesh. Recently, the use of mobile phone SMS text messaging is found to have an important positive impact on HTN management. OBJECTIVE The study aimed to develop awareness and knowledge in order to enhance lifestyle behavior changes among individuals with HTN in a rural community of Bangladesh by using health education and mobile health (mHealth) technology (SMS text messaging). METHODS A prospective randomized 5-month intervention, open-label (1:1), parallel-group trial was implemented among the individuals with HTN aged 35 years or older. Both men and women were included. Between August 2018 and July 2019, we enrolled 420 participants, selected from a tertiary level health facility and through door-to-door visits by community health workers. After block randomization, they were assigned to either the intervention group (received SMS text messaging and health education; n=209) or the control group (received only health education; n=211). The primary outcome was the evaluation of self-reported behavior changes (salt intake, fruits and vegetables intake, physical activity, and blood pressure [BP], and body weight monitoring behaviors). The secondary outcomes were measurements of actual salt intake and dietary salt excretion, blood glucose level, BP values, and quality of life (QOL). RESULTS During the study period, a total of 8 participants were dropped, and the completion rate was 98.0% (412/420). The adherence rates were significantly higher (9%) among the control group regarding salt intake (<i>P</i>=.04) and physical activity behaviors (<i>P</i>&lt;.03), and little differences were observed in other behaviors. In primary outcome, the focused behavior, salt intake less than 6 g/day, showed significant chronological improvement in both groups (<i>P</i>&lt;.001). The fruits intake behavior steadily improved in both groups (<i>P</i>&lt;.001). Participants in both groups had a custom of vegetables intake everyday/week. Physical activity suddenly increased and continued until the study end (<i>P</i>&lt;.001 in both groups). Both BP and body weight monitoring status increased from baseline to 1 month but decreased afterward (<i>P</i>&lt;.001). In case of secondary outcomes, significant chronological changes were observed in food salt concentration and urinary salinity between the groups (<i>P</i>=.01). The mean systolic BP and diastolic BP significantly chronologically decreased in both groups (systolic BP, <i>P</i>=.04; diastolic BP, <i>P</i>=.02.<i>P</i>&lt;.05). All of these supported self-reported behavior changes. For the QOL, both groups showed significant improvement over the study periods (<i>P</i>&lt;.001). CONCLUSIONS Based on these results, we suggest that face-to-face health education requires integration of home health care provision and more relevant and timely interactive SMS text messages to increase the effectiveness of the intervention. Besides, community awareness can be created to encourage “low-salt culture” and educate family members. CLINICALTRIAL Bangladesh Medical Research Council (BMRC) 06025072017; ClinicalTrials.gov NCT03614104; https://clinicaltrials.gov/ct2/show/NCT03614104 and UMIN-CTR R000033736; https://tinyurl.com/y48yfcoo INTERNATIONAL REGISTERED REPORT RR2-10.2196/15523

10.2196/19137 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e19137
Author(s):  
Yasmin Jahan ◽  
Md Moshiur Rahman ◽  
Abu S G Faruque ◽  
Mohammod Jobayer Chisti ◽  
Kana Kazawa ◽  
...  

Background Hypertension (HTN) is a major modifiable risk factor and the leading cause of premature deaths globally. The lack of awareness and knowledge have been identified as risk factors in low- and middle-income countries including Bangladesh. Recently, the use of mobile phone SMS text messaging is found to have an important positive impact on HTN management. Objective The study aimed to develop awareness and knowledge in order to enhance lifestyle behavior changes among individuals with HTN in a rural community of Bangladesh by using health education and mobile health (mHealth) technology (SMS text messaging). Methods A prospective randomized 5-month intervention, open-label (1:1), parallel-group trial was implemented among the individuals with HTN aged 35 years or older. Both men and women were included. Between August 2018 and July 2019, we enrolled 420 participants, selected from a tertiary level health facility and through door-to-door visits by community health workers. After block randomization, they were assigned to either the intervention group (received SMS text messaging and health education; n=209) or the control group (received only health education; n=211). The primary outcome was the evaluation of self-reported behavior changes (salt intake, fruits and vegetables intake, physical activity, and blood pressure [BP], and body weight monitoring behaviors). The secondary outcomes were measurements of actual salt intake and dietary salt excretion, blood glucose level, BP values, and quality of life (QOL). Results During the study period, a total of 8 participants were dropped, and the completion rate was 98.0% (412/420). The adherence rates were significantly higher (9%) among the control group regarding salt intake (P=.04) and physical activity behaviors (P<.03), and little differences were observed in other behaviors. In primary outcome, the focused behavior, salt intake less than 6 g/day, showed significant chronological improvement in both groups (P<.001). The fruits intake behavior steadily improved in both groups (P<.001). Participants in both groups had a custom of vegetables intake everyday/week. Physical activity suddenly increased and continued until the study end (P<.001 in both groups). Both BP and body weight monitoring status increased from baseline to 1 month but decreased afterward (P<.001). In case of secondary outcomes, significant chronological changes were observed in food salt concentration and urinary salinity between the groups (P=.01). The mean systolic BP and diastolic BP significantly chronologically decreased in both groups (systolic BP, P=.04; diastolic BP, P=.02.P<.05). All of these supported self-reported behavior changes. For the QOL, both groups showed significant improvement over the study periods (P<.001). Conclusions Based on these results, we suggest that face-to-face health education requires integration of home health care provision and more relevant and timely interactive SMS text messages to increase the effectiveness of the intervention. Besides, community awareness can be created to encourage “low-salt culture” and educate family members. Trial Registration Bangladesh Medical Research Council (BMRC) 06025072017; ClinicalTrials.gov NCT03614104; https://clinicaltrials.gov/ct2/show/NCT03614104 and UMIN-CTR R000033736; https://tinyurl.com/y48yfcoo International Registered Report Identifier (IRRID) RR2-10.2196/15523


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
X H Huo ◽  
H M K Krumholz ◽  
X B Bai ◽  
E S S Spatz ◽  
Q D Ding ◽  
...  

Abstract Background Mobile health interventions hold the prospect to support risk factor and lifestyle modification and are readily scalable in healthcare systems. Purpose We aim to assess whether text messaging program can improve glycemic control in high-risk patients with coronary heart disease (CHD) and diabetes mellitus (DM). Methods The study was a multi-centre randomised clinical trial conducted at 34 clinics in China. 502 individuals with both CHD and DM were recruited and randomly assigned to either the text messaging intervention (n=251) or control group (n=251). The control group received 2 thank-you messages per month in addition to usual care. The intervention group received 6 messages per week for 6 months. Messages provided educational and motivational information related to glucose monitoring, BP control, physical activity and lifestyle recommendations. The primary outcome was change in glycemic hemoglobin (HbA1C) from baseline to 6 months. Results Follow-up rate was 99%. At 6 months, HbA1C was significantly lower in intervention group compared to control group (mean HbA1C 6.7% vs. 7.2%, P<0.001), with a mean change of −0.2% and 0.1% from baseline, respectively (mean absolute change −0.3% [95% CI −0.5 to 0.1]; P=0.003). Significantly more participants in intervention group achieved a HbA1c<7% (69.3% vs. 52.6%; P=0.004), and change in FBG was larger in intervention group (−0.5 vs. 0.1 mmol/L; P=0.011). No differences in SBP, LDL-C, BMI and physical activity were observed. Almost all patients reported messages to be easy to understand (97.1%) and useful (94.1%). Table 1. Primary and Secondary Outcomes Analyses at 6 Month Follow-up Parameter Intervention (N=251) Control (N=251) Mean Difference in Change P value for Baseline 6 Months Mean Change Baseline 6 Months Mean Change (95% CI) Difference in Change Primary Outcome HbA1C level, %, mean (SD) 6.9 (1.4) 6.7 (1.3) −0.2 (1.0) 7.1 (1.4) 7.2 (1.5) 0.1 (1.1) −0.3 (−0.5, −0.1) 0.003 Secondary Outcomes HbA1C level<7%, No. (%) 155 (62.0%) 174 (69.3%) – 139 (56.1%) 132 (52.6%) – 1.2 (1.1, 1.3)a 0.004   FBG, mmol/L, mean (SD) 8.1 (2.7) 7.5 (2.7) −0.5 (2.5) 8.5 (3.0) 8.6 (3.3) 0.1 (3.1) −0.6 (−1.1, −0.2) 0.011   SBP, mmHg, mean (SD) 135.9 (18.4) 134.7 (18.7) −1.4 (17.1) 135.9 (18.1) 132.2 (17.7) −3.5 (17.8) 2.4 (−0.8,5.5) 0.144   LDL-C, mmol/L, mean (SD) 2.6 (0.8) 2.5 (0.7) −0.1 (0.7) 2.6 (0.8) 2.5 (0.8) −0.1 (0.7) 0 (−0.1, 0.1) 0.828   BMI, mean (SD) 26.4 (3.2) 26.3 (3.5) −0.1 (2.1) 26.3 (3.2) 26.0 (3.4) −0.4 (2.5) 0.3 (−0.1, 0.7) 0.213   Physical activity (MET min/wk), 1386 1386 177 1386 1386 322 −70.7 0.784     median (IQR) (693–3066) (918–3612) (2840) (693–3066) (693–3002) (2635) (−574.9, 433.5) Conclusion Use of a simple, culturally sensitive mobile text-messaging program could be an effective and scalable way to improve disease self-management among patients with CHD and DM. Acknowledgement/Funding Research Special Fund for Public Welfare Industry of Health (201502009) from the National Health and Family Planning Commission of China


Author(s):  
Russell Jago ◽  
Byron Tibbitts ◽  
Kathryn Willis ◽  
Emily Sanderson ◽  
Rebecca Kandiyali ◽  
...  

Abstract Background Physical activity is associated with improved health. Girls are less active than boys. Pilot work showed that a peer-led physical activity intervention called PLAN-A was a promising method of increasing physical activity in secondary school age girls. This study examined the effectiveness and cost-effectiveness of the PLAN-A intervention. Methods We conducted a cluster randomised controlled trial with Year 9 (13–14 year old) girls recruited from 20 secondary schools. Schools were randomly assigned to the PLAN-A intervention or a non-intervention control group after baseline data collection. Girls nominated students to be peer leaders. The top 18 % of girls nominated by their peers in intervention schools received three days of training designed to prepare them to support physical activity. Data were collected at two time points, baseline (T0) and 5–6 months post-intervention (T1). Participants wore an accelerometer for seven days to assess the primary outcome of mean weekday minutes of moderate-to-vigorous physical activity (MVPA). Multivariable mixed effects linear regression was used to estimate differences in the primary outcome between the two arms on an Intention-to-Treat (ITT) basis. Resource use and quality of life were measured and a within trial economic evaluation from a public sector perspective was conducted. Results A total of 1558 girls were recruited to the study. At T0, girls in both arms engaged in an average of 51 min of MVPA per weekday. The adjusted mean difference in weekday MVPA at T1 was − 2.84 min per day (95 % CI = -5.94 to 0.25) indicating a slightly larger decline in weekday MVPA in the intervention group. Results were broadly consistent when repeated using a multiple imputation approach and for pre-specified secondary outcomes and sub-groups. The mean cost of the PLAN-A intervention was £2817 per school, equivalent to £31 per girl. Economic analyses indicated that PLAN-A did not lead to demonstrable cost-effectiveness in terms of cost per unit change in QALY. Conclusions This study has shown that the PLAN-A intervention did not result in higher levels of weekday MVPA or associated secondary outcomes among Year 9 girls. The PLAN-A intervention should not be disseminated as a public health strategy. Trial registration ISRCTN14539759–31 May, 2018.


2018 ◽  
Author(s):  
Sara B Golas ◽  
Ramya Palacholla ◽  
Amanda Centi ◽  
Odeta Dyrmishi ◽  
Stephen Agboola ◽  
...  

BACKGROUND Physical inactivity is one of the leading risk factors contributing to rising rates of chronic diseases and has been associated with deleterious health outcomes in patients with chronic disease conditions. FeatForward is a mobile phone app designed to encourage patients with cardiometabolic risk (CMR) factors to increase their levels of physical activity. OBJECTIVE To evaluate the effect of the FeatForward mobile phone app on physical activity levels (primary outcome) and global CMR factors (secondary outcomes) in patients with chronic conditions. METHODS In this 6-month, 2-arm randomized controlled trial, adult participants endorsing at least 1 study-eligible condition (obesity, [pre-]diabetes, [pre-]hypertension) were enrolled and assigned to either the intervention group (FeatForward app and standard care) or control group (standard care only). The primary and secondary outcomes were, respectively, change from baseline in physical activity (step count) and CMR factors (weight, body mass index [BMI], waist circumference, glycated hemoglobin [HbA1c], fasting blood glucose, systolic/diastolic blood pressures, serum lipids, C-reactive protein [CRP]). CMR data were collected at 3 time-points: baseline, 3 months, and 6 months. Step count data were recorded continuously by patients’ study-issued activity trackers and collected in batches at 3 and 6 months. At study end, patients’ weekly average step counts (WAS) were calculated as total steps taken divided by days of step data (0-7) for each of 26 study weeks. Mixed-effects linear regression models evaluated change over time between groups for the primary outcome and secondary outcomes. All models controlled for baseline values. The step count model additionally controlled for proportion of days without data, defined as (7 – days of data) / 7. Analyses were conducted for both groups overall, and by disease cohort (obesity, diabetes, hypertension). RESULTS Step count and CMR data were analyzed for 128 intervention and 133 control patients. There were no demographic differences between groups. While there was an overall downward trend in WAS for both groups, the intervention group decreased significantly less than the control group, with a slope of -29.3 steps per week compared to controls’ -57.9 (P=.02). Intervention patients with obesity slightly increased their step count overtime, differing significantly from controls (slope of 0.9 vs -90.2; P<.001). Intervention patients significantly lowered their BMI per study month compared to controls (slopes -0.23 vs -0.02; P=.04). Additionally, intervention patients with hypertension significantly decreased weight (P=.003), BMI (P=.002), and CRP (P=.03) per month compared to the control group. Waist circumference, HbA1c, fasting blood glucose, blood pressure, and lipids did not differ significantly by group or disease cohort over time. CONCLUSIONS While it is common for patient engagement with physical activity trackers to decrease over the course of a study, patients using the FeatFoward app had a slower decline in physical activity compared to controls. Intervention patients experienced a reduction in their BMI from a mean of 34.3 to 33.4, compared to controls’ 34.8 to 35.0. Patients with hypertension experienced significant decreases in BMI, weight, and CRP compared to controls. Future analyses will evaluate the impact of app engagement levels on step counts and CMR factors for the intervention group.


BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e018302 ◽  
Author(s):  
Xiqian Huo ◽  
Erica S Spatz ◽  
Qinglan Ding ◽  
Paul Horak ◽  
Xin Zheng ◽  
...  

IntroductionMobile health interventions have the potential to promote risk factor management and lifestyle modification, and are a particularly attractive approach for scaling across healthcare systems with limited resources. We are conducting two randomised trials to evaluate the efficacy of text message-based health messages in improving secondary coronary heart disease (CHD) prevention among patients with or without diabetes.Methods and analysisThe Cardiovascular Health And Text Messaging (CHAT) Study and the CHAT-Diabetes Mellitus (CHAT-DM) Study are multicentre, single-blind, randomised controlled trials of text messaging versus standard treatment with 6 months of follow-up conducted in 37 hospitals throughout 17 provinces in China. The intervention group receives six text messages per week which target blood pressure control, medication adherence, physical activity, smoking cessation (when appropriate), glucose monitoring and lifestyle recommendations including diet (in CHAT-DM). The text messages were developed based on behavioural change techniques, using models such as the information-motivation-behavioural skills model, goal setting and provision of social support. A total sample size of 800 patients would be adequate for CHAT Study and sample size of 500 patients would be adequate for the CHAT-DM Study. In CHAT, the primary outcome is the change in systolic blood pressure (SBP) at 6 months. Secondary outcomes include a change in proportion of patients achieving a SBP <140 mm Hg, low-density lipoprotein cholesterol (LDL-C), physical activity, medication adherence, body mass index (BMI) and smoking cessation. In CHAT-DM, the primary outcome is the change in glycaemic haemoglobin (HbA1C) at 6 months. Secondary outcomes include a change in the proportion of patients achieving HbA1C<7%, fasting blood glucose, SBP, LDL-C, BMI, physical activity and medication adherence.Ethics and disseminationThe central ethics committee at the China National Center for Cardiovascular Disease and the Yale University Institutional Review Board approved the CHAT and CHAT-DM studies. Results will be disseminated via usual scientific forums including peer-reviewed publications.Trial registration numberCHAT (NCT02888769) and CHAT-DM (NCT02883842); Pre-results.


Author(s):  
Sharon A. Simpson ◽  
Elinor Coulman ◽  
Dunla Gallagher ◽  
Karen Jewell ◽  
David Cohen ◽  
...  

Abstract Objective To assess whether a weight management intervention for pregnant women with obesity was effective in reducing body mass index (BMI) 12 months after giving birth. Methods Pragmatic, cluster randomised controlled trial (RCT) with embedded cost-effectiveness analysis. 598 women with a BMI of ≥30 kg/m2 (between 12 and 20 weeks gestation) were recruited from 20 secondary care maternity units in England and Wales. BMI at 12 months postpartum was the primary outcome. A range of clinical and behavioural secondary outcomes were examined. Interventions Women attending maternity units randomised to intervention were invited to a weekly weight management group, which combined expertise from a commercial weight loss programme with clinical advice from midwives. Both intervention and control participants received usual care and leaflets on diet and physical activity in pregnancy. Results Mean (SD) BMI at 12 months postpartum was 36.0 kg/m2 (5.2) in the control group, and 37.5 kg/m2 (6.7) in the intervention group. After adjustment for baseline BMI, the intervention effect was −0.02 (95% CI −0.04 to 0.01). The intervention group had an improved healthy eating score (3.08, 95% CI 0.16 to 6.00, p < 0.04), improved fibre score (3.22, 1.07 to 5.37, p < 0.01) and lower levels of risky drinking at 12 months postpartum compared to the control group (OR 0.45, 0.27 to 0.74, p < 0.002). The net incremental monetary benefit was not statistically significantly different between arms, although the probability of the intervention being cost-effective was above 60%, at policy-relevant thresholds. Conclusions There was no significant difference between groups on the primary outcome of BMI at 12 months. Analyses of secondary outcomes indicated improved healthy eating and lower levels of risky drinking. Trial registration: Current Controlled Trials ISRCTN25260464.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lara Bücker ◽  
Josefine Gehlenborg ◽  
Steffen Moritz ◽  
Stefan Westermann

AbstractThe majority of individuals with problematic and pathological gambling remain untreated, and treatment barriers are high. Internet-based interventions can help to address existing barriers, and first studies suggest their potential for this target group. Within a randomized controlled trial (N = 150) with two assessment times (baseline and post-intervention), we aimed to investigate the feasibility, acceptance, and effectiveness of a self-guided Internet-based intervention targeted at gambling problems. We expected a significant reduction in gambling symptoms (primary outcome) and depressive symptoms as well gambling-specific dysfunctional thoughts (secondary outcomes) in the intervention group (IG) compared to a wait-list control group with access to treatment-as-usual (control group, CG) after the intervention period of 8 weeks. Results of the complete cases, per protocol, intention-to-treat (ITT), and frequent user analyses showed significant improvements in both groups for primary and secondary outcomes but no significant between-group differences (ITT primary outcome, F(1,147) = .11, p = .739, ηp2 < .001). Moderation analyses indicated that individuals in the IG with higher gambling and depressive symptoms, older age, and comorbid anxiety symptoms showed significant improvement relative to the CG. The intervention was positively evaluated (e.g., 96.5% rated the program as useful). Possible reasons for the nonsignificant between-group differences are discussed. Future studies should include follow-up assessments and larger samples to address limitations of the present study. Trial Registration ClinicalTrials.gov (NCT03372226), http://clinicaltrials.gov/ct2/show/NCT03372226, date of registration (13/12/2017).


2021 ◽  
Vol 12 ◽  
Author(s):  
Corina Berli ◽  
Urte Scholz

Keeping a physically active lifestyle requires consistent self-regulatory effort such as action control (e.g., continuously monitoring and evaluating a behavior in terms of one’s goals). Involving the romantic partner in interventions might be particularly effective in the long run. The present study examined the long-term and transfer effects of an action control intervention in couples using text messaging for promoting target persons’ and partners’ physical activity, anthropometric measures and physical fitness 6 months post baseline. A total of 121 overweight and obese romantic couples, randomly allocated to an intervention (n = 60; information + action control text messages) or a control group (n = 61; information only) and to participating as target person or partner, completed baseline assessments (T1). 100 couples (82.6%) completed the 6-month follow-up (T3) assessment. Primary outcomes included self-reported moderate-to-vigorous physical activity (MVPA) and objective MVPA and MVPA adherence using triaxial accelerometers across a diary period of 14 days after T3. Secondary outcomes included BMI, waist-to-hip circumference and physical fitness (target persons only) using a submaximal aerobic cycle test. At T3, there were no significant between-group differences between target persons and partners with regard to their objective MVPA, self-reported MVPA, BMI, waist-hip ratio or physical fitness. No significant changes in outcomes were observed from T1 to T3; however, changes in BMI from T1 to T3 between target persons and partners in the intervention group were associated. Overall, the brief 14-days action control intervention was not effective in improving target person’s physical activity, body measures and physical fitness in the long-term. Moreover, no long-term benefits for partners emerged. While brief ecological momentary interventions might be a promising tool for short-term effects, future studies are needed to test features enhancing long-term effectiveness. Associations in romantic partners’ changes suggest that dyadic interventions can be a promising approach, as changes induced in one partner may then transfer over to the other (controlled-trials.com ISRCTN15705531).


2019 ◽  
Vol 33 (10) ◽  
pp. 1607-1613
Author(s):  
Birgitta Langhammer ◽  
Louise Ada ◽  
Mari Gunnes ◽  
Hege Ihle-Hansen ◽  
Bent Indredavik ◽  
...  

Objective: To evaluate whether an 18-month, physical activity coaching program is more effective than standard care in terms of upper-limb activity. Design: A prospective, randomized controlled trial. Setting: Three municipalities in Norway. Population: A total of 380 persons with stroke. Intervention: The intervention group received follow-up visits and coaching on physical activity and exercise each month for 18 months after inclusion, by a physiotherapist. The control group received standard care. Main measures: The primary outcome, in this secondary analysis, was Motor Assessment Scale items 6, 7, and 8. Secondary outcomes were National Institute of Health Stroke Scale item 5, the Stroke Impact Scale domain 7, and the Modified Ashworth Scale in flexion/extension of the elbow. Results: In total, 380 persons with stroke were recruited, with mean (SD) age 72 (11) years, and baseline scores total National Institute of Health Stroke Scale was 1.4 (2.2)/1.6 (2.4) and Motor Assessment Scale items 6, 7 and 8 in the intervention/control group was 5.5 (1.2)/5.5 (1.2), 5.4 (1.4)/5.4 (1.3), and 3.6 (2)/3.5 (2), respectively. There was no significant difference between groups in terms of upper limb function in any of the Motor Assessment Scale items. In this population with minor stroke, upper-limb activity was good at three months post-stroke (74% of the maximum) and remained good 18 months later (77% of maximum). Conclusion: After intervention, there was no difference between the groups in terms of upper-limb activity.


2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 105-105
Author(s):  
Stacey A. Kenfield ◽  
Erin Van Blarigan ◽  
Niloufar Ameli ◽  
Emil Lavaki ◽  
Cynthia Monroy ◽  
...  

105 Background: Lifestyle behaviors may reduce risk of prostate cancer progression. Guidelines and tools to support lifestyle modification are needed to improve prostate cancer care. Methods: We conducted a 12-week RCT among 73 men with clinical stage T1-T3a prostate cancer to determine if a lifestyle intervention that included a responsive website, Fitbits, and text messaging helps men adopt 8 healthy lifestyle behaviors (vigorous activity, not smoking, and 6 diet factors) compared to a control group. Eligible men had no contra-indications to aerobic exercise, Internet access, and engaged in ≤4 of the targeted 8 habits at baseline. We explored the efficacy of the intervention (n = 32) vs. control (n = 32) on behavior change via a lifestyle survey, 7 days of ActiGraph GT3X+ accelerometer data, and the Prostate 8 (P8) score (8 self-reported behaviors assigned 0 or 1 point, range 0-8). Results: Baseline characteristics were similar between arms. The median baseline P8 score was 3 in each arm. 12-week assessments were 88% complete (intervention, 94%; control, 82%). Intervention arm participants’ wore their Fitbits a median of 82 days (98%, IQR: 72-83), replied to a median of 71% of texts (N = 60, IQR: 57-89%), and visited the website a median of 3 days [IQR: 2-5] and over 3 visits [IQR: 2-5]. Baseline moderate and vigorous activity were self-reported as 3.7 hrs/wk and 12 min/wk (intervention) and 5.3 hrs/wk and 18 min/wk (control). 1 person was a smoker at baseline. Median [IQR] absolute change in the P8 score from baseline to 12 wks was 2.0 [1.0, 3.0] (intervention) and 0.0 [-1.0, 1.0] (control) (p = 0.0005); and the change between groups was statistically significant for cooked tomatoes, cruciferous vegetables, fish, processed meat, but not significant for healthy sources of vegetable fat (high at baseline) or vigorous activity. Accelerometer data indicated no significant differences in change in physical activity between arms. Conclusions: This novel intervention was feasible and acceptable. These data suggest that the intervention was effective for promoting healthier dietary changes; further research is warranted to examine how to facilitate improvements in physical activity. Clinical trial information: NCT02470936.


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