Browsing by Author "Allen, Jenifer"

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    ItemOpen Access
    A lifestyle intervention of weight loss via a low-carbohydrate diet plus walking to reduce metabolic disturbances caused by androgen deprivation therapy among prostate cancer patients: carbohydrate and prostate study 1 (CAPS1) randomized controlled trial.
    (Prostate cancer and prostatic diseases, 2019-09) Freedland, Stephen J; Howard, Lauren; Allen, Jenifer; Smith, Jordan; Stout, Jennifer; Aronson, William; Inman, Brant A; Armstrong, Andrew J; George, Daniel; Westman, Eric; Lin, Pao-Hwa

    Purpose

    The objective of this study was to test a low-carbohydrate diet (LCD) plus walking to reduce androgen deprivation therapy (ADT)-induced metabolic disturbances.

    Materials and methods

    This randomized multi-center trial of prostate cancer (PCa) patients initiating ADT was designed to compare an LCD (≤20g carbohydrate/day) plus walking (≥30 min for ≥5 days/week) intervention vs. control advised to maintain usual diet and exercise patterns. Primary outcome was change in insulin resistance by homeostatic model assessment at 6 months. To detect 20% reduction in insulin resistance, 100 men were required. The study was stopped early after randomizing 42 men due to slow accrual. Secondary outcomes included weight, body composition, lipids, and prostate-specific antigen (PSA). Changes from baseline were compared between arms using rank-sum tests.

    Results

    At 6 months, LCD/walking reduced insulin resistance by 4% vs. 36% increase in control (p = 0.13). At 3 months, vs. control, LCD/walking arm significantly lost weight (7.8kg; p<0.001), improved insulin resistance (↑36%; p = 0.015), hemoglobin A1c (↓3.3%; p = 0.01), high-density lipoprotein (HDL) (↑13%; p = 0.004), and triglyceride (↓37%; p = 0.036). At 6 months, weight loss (10.6kg; p<0.001) and HDL (↑27%; p = 0.003) remained significant. LCD/walking preserved total body bone mineral count (p = 0.025), reduced fat mass (p = 0.002), lean mass (p = 0.036), and percent body fat (p = 0.004). There were no differences in PSA. Limitations include the effect of LCD, weight loss vs. walking instruction are indistinguishable, and small sample size.

    Conclusions

    In an underpowered study, LCD/walking did not improve insulin sensitivity at 6 months. Given most secondary outcomes were improved at 3 months with some remaining improved at 6 months and a secondary analysis showed that LCD/walking reduced insulin resistance over the study, supporting future larger studies of LCD/walking intervention to reduce ADT-induced disturbances.
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    Short-term effects of the DASH diet in adults with moderate chronic kidney disease: a pilot feeding study.
    (Clinical kidney journal, 2016-08) Tyson, Crystal C; Lin, Pao-Hwa; Corsino, Leonor; Batch, Bryan C; Allen, Jenifer; Sapp, Shelly; Barnhart, Huiman; Nwankwo, Chinazo; Burroughs, Jasmine; Svetkey, Laura P
    Although the Dietary Approaches to Stop Hypertension (DASH) diet lowers blood pressure (BP) for adults with normal kidney function, evidence is lacking regarding its safety and efficacy in chronic kidney disease (CKD). We aimed to test the effects of the DASH diet on serum electrolytes and BP in adults with moderate CKD.In a prospective before-after feeding study, 11 adults with an estimated glomerular filtration rate of 30-59 mL/min/1.73 m(2) and medication-treated hypertension were provided a reduced-sodium, run-in diet for 1 week followed by a reduced-sodium, DASH diet for 2 weeks. Changes in serum electrolytes and BP were compared pre-post DASH.Eleven participants underwent feeding; 1 completed 1 week and 10 completed 2 weeks of DASH. Compared with baseline, DASH modestly increased serum potassium at 1 week (mean ± standard deviation, +0.28 ± 0.4 mg/dL; P = 0.043) but had no significant effect on potassium at 2 weeks (+0.15 ± 0.28 mg/dL; P = 0.13). Serum bicarbonate was reduced (-2.5 ± 3.0 mg/dL; P = 0.03) at 2 weeks. Neither incident hyperkalemia nor new onset metabolic acidosis was observed. Clinic BP and mean 24-h ambulatory BP was unchanged. DASH significantly reduced mean nighttime BP (-5.3 ± 5.8 mmHg; P = 0.018), and enhanced percent declines in both nocturnal systolic BP (-2.1% to -5.1%; P = 0.004) and diastolic BP (-3.7% to -10.0%; P = 0.008).These pilot data suggest that a reduced-sodium DASH dietary pattern does not cause acute metabolic events in adults with moderate CKD and may improve nocturnal BP. Definitive studies are needed to determine long-term effects of DASH in CKD.
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    The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial (Preprint)
    (2018-03-22) Lin, Pao-Hwa; Grambow, Steven; Intille, Stephen; Gallis, John A; Lazenka, Tony; Bosworth, Hayden; Voils, Corrine L; Bennett, Gary G; Batch, Bryan; Allen, Jenifer; Corsino, Leonor; Tyson, Crystal; Svetkey, Laura
    BACKGROUND

    Understanding how engagement in mobile health (mHealth) weight loss interventions relates to weight change may help develop effective intervention strategies.

    OBJECTIVE

    This study aims to examine the (1) patterns of participant engagement overall and with key intervention components within each intervention arm in the Cell Phone Intervention For You (CITY) trial; (2) associations of engagement with weight change; and (3) participant characteristics related to engagement.

    METHODS

    The CITY trial tested two 24-month weight loss interventions. One was delivered with a smartphone app (cell phone) containing 24 components (weight tracking, etc) and included prompting by the app in predetermined frequency and forms. The other was delivered by a coach via monthly calls (personal coaching) supplemented with limited app components (18 overall) and without any prompting by the app. Engagement was assessed by calculating the percentage of days each app component was used and the frequency of use. Engagement was also examined across 4 weight change categories: gained (≥2%), stable (±2%), mild loss (≥2% to <5%), and greater loss (≥5%).

    RESULTS

    Data from 122 cell phone and 120 personal coaching participants were analyzed. Use of the app was the highest during month 1 for both arms; thereafter, use dropped substantially and continuously until the study end. During the first 6 months, the mean percentage of days that any app component was used was higher for the cell phone arm (74.2%, SD 20.1) than for the personal coaching arm (48.9%, SD 22.4). The cell phone arm used the apps an average of 5.3 times/day (SD 3.1), whereas the personal coaching participants used them 1.7 times/day (SD 1.2). Similarly, the former self-weighed more than the latter (57.1% days, SD 23.7 vs 32.9% days, SD 23.3). Furthermore, the percentage of days any app component was used, number of app uses per day, and percentage of days self-weighed all showed significant differences across the 4 weight categories for both arms. Pearson correlation showed a negative association between weight change and the percentage of days any app component was used (cell phone: r=−.213; personal coaching: r=−.319), number of apps use per day (cell phone: r=−.264; personal coaching: r=−.308), and percentage of days self-weighed (cell phone: r=−.297; personal coaching: r=−.354). None of the characteristics examined, including age, gender, race, education, income, energy expenditure, diet quality, and hypertension status, appeared to be related to engagement.

    CONCLUSIONS

    Engagement in CITY intervention was associated with weight loss during the first 6 months. Nevertheless, engagement dropped substantially early on for most intervention components. Prompting may be helpful initially. More flexible and less intrusive prompting strategies may be needed during different stages of an intervention to increase or sustain engagement. Future studies should explore the motivations for engagement and nonengagement to determine meaningful levels of engagement required for effective intervention.

    CLINICALTRIAL

    ClinicalTrials.gov NCT01092364; https://clinicaltrials.gov/ct2/show/NCT01092364 (Archived by WebCite at http://www.webcitation.org/72V8A4e5X)

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    ItemOpen Access
    The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial.
    (JMIR mHealth and uHealth, 2018-10) Lin, Pao-Hwa; Grambow, Steven; Intille, Stephen; Gallis, John A; Lazenka, Tony; Bosworth, Hayden; Voils, Corrine L; Bennett, Gary G; Batch, Bryan; Allen, Jenifer; Corsino, Leonor; Tyson, Crystal; Svetkey, Laura

    Background

    Understanding how engagement in mobile health (mHealth) weight loss interventions relates to weight change may help develop effective intervention strategies.

    Objective

    This study aims to examine the (1) patterns of participant engagement overall and with key intervention components within each intervention arm in the Cell Phone Intervention For You (CITY) trial; (2) associations of engagement with weight change; and (3) participant characteristics related to engagement.

    Methods

    The CITY trial tested two 24-month weight loss interventions. One was delivered with a smartphone app (cell phone) containing 24 components (weight tracking, etc) and included prompting by the app in predetermined frequency and forms. The other was delivered by a coach via monthly calls (personal coaching) supplemented with limited app components (18 overall) and without any prompting by the app. Engagement was assessed by calculating the percentage of days each app component was used and the frequency of use. Engagement was also examined across 4 weight change categories: gained (≥2%), stable (±2%), mild loss (≥2% to <5%), and greater loss (≥5%).

    Results

    Data from 122 cell phone and 120 personal coaching participants were analyzed. Use of the app was the highest during month 1 for both arms; thereafter, use dropped substantially and continuously until the study end. During the first 6 months, the mean percentage of days that any app component was used was higher for the cell phone arm (74.2%, SD 20.1) than for the personal coaching arm (48.9%, SD 22.4). The cell phone arm used the apps an average of 5.3 times/day (SD 3.1), whereas the personal coaching participants used them 1.7 times/day (SD 1.2). Similarly, the former self-weighed more than the latter (57.1% days, SD 23.7 vs 32.9% days, SD 23.3). Furthermore, the percentage of days any app component was used, number of app uses per day, and percentage of days self-weighed all showed significant differences across the 4 weight categories for both arms. Pearson correlation showed a negative association between weight change and the percentage of days any app component was used (cell phone: r=-.213; personal coaching: r=-.319), number of apps use per day (cell phone: r=-.264; personal coaching: r=-.308), and percentage of days self-weighed (cell phone: r=-.297; personal coaching: r=-.354). None of the characteristics examined, including age, gender, race, education, income, energy expenditure, diet quality, and hypertension status, appeared to be related to engagement.

    Conclusions

    Engagement in CITY intervention was associated with weight loss during the first 6 months. Nevertheless, engagement dropped substantially early on for most intervention components. Prompting may be helpful initially. More flexible and less intrusive prompting strategies may be needed during different stages of an intervention to increase or sustain engagement. Future studies should explore the motivations for engagement and nonengagement to determine meaningful levels of engagement required for effective intervention.

    Trial registration

    ClinicalTrials.gov NCT01092364; https://clinicaltrials.gov/ct2/show/NCT01092364 (Archived by WebCite at http://www.webcitation.org/72V8A4e5X).