Browsing by Author "Lin, Pao-Hwa"

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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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    ItemOpen Access
    Adaptive intervention design in mobile health: Intervention design and development in the Cell Phone Intervention for You trial.
    (Clin Trials, 2015-12) Lin, Pao-Hwa; Intille, Stephen; Bennett, Gary; Bosworth, Hayden B; Corsino, Leonor; Voils, Corrine; Grambow, Steven; Lazenka, Tony; Batch, Bryan C; Tyson, Crystal; Svetkey, Laura P
    BACKGROUND/AIMS: The obesity epidemic has spread to young adults, and obesity is a significant risk factor for cardiovascular disease. The prominence and increasing functionality of mobile phones may provide an opportunity to deliver longitudinal and scalable weight management interventions in young adults. The aim of this article is to describe the design and development of the intervention tested in the Cell Phone Intervention for You study and to highlight the importance of adaptive intervention design that made it possible. The Cell Phone Intervention for You study was a National Heart, Lung, and Blood Institute-sponsored, controlled, 24-month randomized clinical trial comparing two active interventions to a usual-care control group. Participants were 365 overweight or obese (body mass index≥25 kg/m2) young adults. METHODS: Both active interventions were designed based on social cognitive theory and incorporated techniques for behavioral self-management and motivational enhancement. Initial intervention development occurred during a 1-year formative phase utilizing focus groups and iterative, participatory design. During the intervention testing, adaptive intervention design, where an intervention is updated or extended throughout a trial while assuring the delivery of exactly the same intervention to each cohort, was employed. The adaptive intervention design strategy distributed technical work and allowed introduction of novel components in phases intended to help promote and sustain participant engagement. Adaptive intervention design was made possible by exploiting the mobile phone's remote data capabilities so that adoption of particular application components could be continuously monitored and components subsequently added or updated remotely. RESULTS: The cell phone intervention was delivered almost entirely via cell phone and was always-present, proactive, and interactive-providing passive and active reminders, frequent opportunities for knowledge dissemination, and multiple tools for self-tracking and receiving tailored feedback. The intervention changed over 2 years to promote and sustain engagement. The personal coaching intervention, alternatively, was primarily personal coaching with trained coaches based on a proven intervention, enhanced with a mobile application, but where all interactions with the technology were participant-initiated. CONCLUSION: The complexity and length of the technology-based randomized clinical trial created challenges in engagement and technology adaptation, which were generally discovered using novel remote monitoring technology and addressed using the adaptive intervention design. Investigators should plan to develop tools and procedures that explicitly support continuous remote monitoring of interventions to support adaptive intervention design in long-term, technology-based studies, as well as developing the interventions themselves.
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    ItemOpen Access
    Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology.
    (Obesity (Silver Spring, Md.), 2015-11) Svetkey, Laura P; Batch, Bryan C; Lin, Pao-Hwa; Intille, Stephen S; Corsino, Leonor; Tyson, Crystal C; Bosworth, Hayden B; Grambow, Steven C; Voils, Corrine; Loria, Catherine; Gallis, John A; Schwager, Jenifer; Bennett, Gary G

    Objective

    To determine the effect on weight of two mobile technology-based (mHealth) behavioral weight loss interventions in young adults.

    Methods

    Randomized, controlled comparative effectiveness trial in 18- to 35-year-olds with BMI ≥ 25 kg/m(2) (overweight/obese), with participants randomized to 24 months of mHealth intervention delivered by interactive smartphone application on a cell phone (CP); personal coaching enhanced by smartphone self-monitoring (PC); or Control.

    Results

    The 365 randomized participants had mean baseline BMI of 35 kg/m(2) . Final weight was measured in 86% of participants. CP was not superior to Control at any measurement point. PC participants lost significantly more weight than Controls at 6 months (net effect -1.92 kg [CI -3.17, -0.67], P = 0.003), but not at 12 and 24 months.

    Conclusions

    Despite high intervention engagement and study retention, the inclusion of behavioral principles and tools in both interventions, and weight loss in all treatment groups, CP did not lead to weight loss, and PC did not lead to sustained weight loss relative to Control. Although mHealth solutions offer broad dissemination and scalability, the CITY results sound a cautionary note concerning intervention delivery by mobile applications. Effective intervention may require the efficiency of mobile technology, the social support and human interaction of personal coaching, and an adaptive approach to intervention design.
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    ItemOpen Access
    Erratum: Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology.
    (Obesity (Silver Spring, Md.), 2016-02) Svetkey, Laura P; Batch, Bryan C; Lin, Pao-Hwa; Intille, Stephen S; Corsino, Leonor; Tyson, Crystal C; Bosworth, Hayden B; Grambow, Steven C; Voils, Corrine; Loria, Catherine; Gallis, John A; Schwager, Jenifer; Bennett, Gary G
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    Hypertension Improvement Project (HIP): study protocol and implementation challenges.
    (Trials, 2009-02-26) Dolor, Rowena J; Yancy, William S; Owen, William F; Matchar, David B; Samsa, Gregory P; Pollak, Kathryn I; Lin, Pao-Hwa; Ard, Jamy D; Prempeh, Maxwell; McGuire, Heather L; Batch, Bryan C; Fan, William; Svetkey, Laura P

    Background

    Hypertension affects 29% of the adult U.S. population and is a leading cause of heart disease, stroke, and kidney failure. Despite numerous effective treatments, only 53% of people with hypertension are at goal blood pressure. The chronic care model suggests that blood pressure control can be achieved by improving how patients and physicians address patient self-care.

    Methods and design

    This paper describes the protocol of a nested 2 x 2 randomized controlled trial to test the separate and combined effects on systolic blood pressure of a behavioral intervention for patients and a quality improvement-type intervention for physicians. Primary care practices were randomly assigned to the physician intervention or to the physician control condition. Physician randomization occurred at the clinic level. The physician intervention included training and performance monitoring. The training comprised 2 internet-based modules detailing both the JNC-7 hypertension guidelines and lifestyle modifications for hypertension. Performance data were collected for 18 months, and feedback was provided to physicians every 3 months. Patient participants in both intervention and control clinics were individually randomized to the patient intervention or to usual care. The patient intervention consisted of a 6-month behavioral intervention conducted by trained interventionists in 20 group sessions, followed by 12 monthly phone contacts by community health advisors. Follow-up measurements were performed at 6 and 18 months. The primary outcome was the mean change in systolic blood pressure at 6 months. Secondary outcomes were diastolic blood pressure and the proportion of patients with adequate blood pressure control at 6 and 18 months.

    Discussion

    Overall, 8 practices (4 per treatment group), 32 physicians (4 per practice; 16 per treatment group), and 574 patients (289 control and 285 intervention) were enrolled. Baseline characteristics of patients and providers and the challenges faced during study implementation are presented. The HIP interventions may improve blood pressure control and lower cardiovascular disease risk in a primary care practice setting by addressing key components of the chronic care model. The study design allows an assessment of the effectiveness and cost of physician and patient interventions separately, so that health care organizations can make informed decisions about implementation of 1 or both interventions in the context of local resources.

    Trial registration

    ClinicalTrials.gov identifier NCT00201136.
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    Recruiting young adults into a weight loss trial: report of protocol development and recruitment results.
    (Contemp Clin Trials, 2013-07) Corsino, Leonor; Lin, Pao-Hwa; Batch, Bryan C; Intille, Stephen; Grambow, Steven C; Bosworth, Hayden B; Bennett, Gary G; Tyson, Crystal; Svetkey, Laura P; Voils, Corrine I
    Obesity has spread to all segments of the U.S. population. Young adults, aged 18-35 years, are rarely represented in clinical weight loss trials. We conducted a qualitative study to identify factors that may facilitate recruitment of young adults into a weight loss intervention trial. Participants were 33 adults aged 18-35 years with BMI ≥25 kg/m(2). Six group discussions were conducted using the nominal group technique. Health, social image, and "self" factors such as emotions, self-esteem, and confidence were reported as reasons to pursue weight loss. Physical activity, dietary intake, social support, medical intervention, and taking control (e.g. being motivated) were perceived as the best weight loss strategies. Incentives, positive outcomes, education, convenience, and social support were endorsed as reasons young adults would consider participating in a weight loss study. Incentives, advertisement, emphasizing benefits, and convenience were endorsed as ways to recruit young adults. These results informed the Cellphone Intervention for You (CITY) marketing and advertising, including message framing and advertising avenues. Implications for recruitment methods are discussed.
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    ItemOpen Access
    Serum metabolomic analysis of men on a low-carbohydrate diet for biochemically recurrent prostate cancer reveals the potential role of ketogenesis to slow tumor growth: a secondary analysis of the CAPS2 diet trial
    (Prostate Cancer and Prostatic Diseases) Chi, Jen-Tsan; Lin, Pao-Hwa; Tolstikov, Vladimir; Howard, Lauren; Chen, Emily Y; Bussberg, Valerie; Greenwood, Bennett; Narain, Niven R; Kiebish, Michael A; Freedland, Stephen J
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    ItemOpen Access
    Serum potassium is a predictor of incident diabetes in African Americans with normal aldosterone: the Jackson Heart Study
    (AMERICAN JOURNAL OF CLINICAL NUTRITION, 2017-02) Chatterjee, Ranee; Davenport, Clemontina A; Svetkey, Laura P; Batch, Bryan C; Lin, Pao-Hwa; Ramachandran, Vasan S; Fox, Ervin R; Harman, Jane; Yeh, Hsin-Chieh; Selvin, Elizabeth; Correa, Adolfo; Butler, Kenneth; Edelman, David
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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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    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).
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    ItemOpen Access
    The Dietary Approaches to Stop Hypertension (DASH) eating pattern in special populations.
    (Curr Hypertens Rep, 2012-10) Tyson, Crystal C; Nwankwo, Chinazo; Lin, Pao-Hwa; Svetkey, Laura P
    The Dietary Approaches to Stop Hypertension (DASH) trial showed that a diet rich in fruits, vegetables, low-fat dairy products with reduced total and saturated fat, cholesterol, and sugar-sweetened products effectively lowers blood pressure in individuals with prehypertension and stage I hypertension. Limited evidence is available on the safety and efficacy of the DASH eating pattern in special patient populations that were excluded from the trial. Caution should be exercised before initiating the DASH diet in patients with chronic kidney disease, chronic liver disease, and those who are prescribed renin-angiotensin-aldosterone system antagonist, but these conditions are not strict contraindications to DASH. Modifications to the DASH diet may be necessary to facilitate its use in patients with chronic heart failure, uncontrolled diabetes mellitus type II, lactose intolerance, and celiac disease. In general, the DASH diet can be adopted by most patient populations and initiated simultaneously with medication therapy and other lifestyle interventions.
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    Weight loss intervention for young adults using mobile technology: design and rationale of a randomized controlled trial - Cell Phone Intervention for You (CITY).
    (Contemp Clin Trials, 2014-03) Batch, Bryan C; Tyson, Crystal; Bagwell, Jacqueline; Corsino, Leonor; Intille, Stephen; Lin, Pao-Hwa; Lazenka, Tony; Bennett, Gary; Bosworth, Hayden B; Voils, Corrine; Grambow, Steven; Sutton, Aziza; Bordogna, Rachel; Pangborn, Matthew; Schwager, Jenifer; Pilewski, Kate; Caccia, Carla; Burroughs, Jasmine; Svetkey, Laura P
    BACKGROUND: The obesity epidemic has spread to young adults, leading to significant public health implications later in adulthood. Intervention in early adulthood may be an effective public health strategy for reducing the long-term health impact of the epidemic. Few weight loss trials have been conducted in young adults. It is unclear what weight loss strategies are beneficial in this population. PURPOSE: To describe the design and rationale of the NHLBI-sponsored Cell Phone Intervention for You (CITY) study, which is a single center, randomized three-arm trial that compares the impact on weight loss of 1) a behavioral intervention that is delivered almost entirely via cell phone technology (Cell Phone group); and 2) a behavioral intervention delivered mainly through monthly personal coaching calls enhanced by self-monitoring via cell phone (Personal Coaching group), each compared to 3) a usual care, advice-only control condition. METHODS: A total of 365 community-dwelling overweight/obese adults aged 18-35 years were randomized to receive one of these three interventions for 24 months in parallel group design. Study personnel assessing outcomes were blinded to group assignment. The primary outcome is weight change at 24 [corrected] months. We hypothesize that each active intervention will cause more weight loss than the usual care condition. Study completion is anticipated in 2014. CONCLUSIONS: If effective, implementation of the CITY interventions could mitigate the alarming rates of obesity in young adults through promotion of weight loss. ClinicalTrial.gov: NCT01092364.