Relationship between intervention dose and outcomes in living well with diabetes--a randomized trial of a telephone-delivered lifestyle-based weight loss intervention

Multiple imputation approaches for epoch-level accelerometer data in trials

Clinical trials that investigate physical activity interventions often use accelerometers to measure step count at a very granular level, for example in 5-second epochs. Participants typically wear the accelerometer for a week-long period at baseline, and for one or more week-long follow-up periods after the intervention. The data is aggregated to provide daily or weekly step counts for the primary analysis. Missing data are common as participants may not wear the device as per protocol. Approaches to handling missing data in the literature have defined missingness on the day level using a threshold on daily weartime, which leads to loss of information on the time of day when data are missing. We propose an approach to identifying and classifying missingness at the finer epoch-level and present two approaches to handling missingness using multiple imputation. Firstly, we present a parametric approach which accounts for the number of missing epochs per day. Secondly, we describe a non-parametric approach where missing periods during the day are replaced by donor data from the same person where possible, or data from a different person who is matched on demographic and physical activity-related variables. Our simulation studies show that the non-parametric approach leads to estimates of the effect of treatment that are least biased while maintaining small standard errors. We illustrate the application of these different multiple imputation strategies to the analysis of the 2017 PACE-UP trial. The proposed framework is likely to be applicable to other digital health outcomes and to other wearable devices.

The Physical Activity Assessment of Adults With Type 2 Diabetes Using Accelerometer-Based Cut Points: Scoping Review

Background

Incorporating physical activity into lifestyle routines is recommended for individuals with type 2 diabetes. Accelerometers offer a promising method for objectively measuring physical activity and for assessing interventions. However, the existing literature for accelerometer-measured physical activity among middle-aged and older adults with type 2 diabetes is lacking.

Objective

This study aims to identify research studies in which accelerometer-based cut points were used to classify the physical activity intensity of middle-aged to older adults with type 2 diabetes as sedentary, light, moderate, vigorous, and very vigorous, and to determine if validated accelerometer cut points specifically for this population exist.

Methods

We followed the Joanna Briggs Institute methodology for scoping reviews. Between June 23 and July 12, 2020, two reviewers independently screened records from four databases (PubMed, Web of Science, Embase, Engineering Village) and the ActiGraph Corp web site for eligible studies that included patients with type 2 diabetes with a sample mean age ≥50 years, used research-grade accelerometers, applied cut points to categorize objectively measured physical activity, and were available in English. We excluded studies reporting exclusively steps or step counts measured by accelerometers or pedometers and conference abstracts or other sources that did not have a full text available. Data extraction was completed using Microsoft Excel. Data for the following variables were tabulated based on frequency distributions: study design, accelerometer type, device placement, epoch length, total wear time, and cut points used. Study aims and participant demographic data were summarized.

Results

A total of 748 records were screened at the abstract level, and 88 full-text articles were assessed for eligibility. Ultimately, 46 articles were retained and analyzed. Participants’ mean ages ranged from 50 to 79.9 years. The ActiGraph accelerometer and the Freedson et al and Troiano et al counts-per-minute cut points were the most frequently used across the literature. Freedson et al and Troiano et al counts-per-minute cut points for light, moderate, and vigorous activity correspond to <1952, 1952-5724, and ≥5725, and 100-2019, 2020-5998, and ≥5999, respectively. The Lopes et al cut points were developed by calibrating the ActiGraph in middle-aged and older adults with overweight/obesity and type 2 diabetes. These counts-per-minute thresholds are ≥200 (light), ≥1240 (moderate), and ≥2400 (vigorous), and were applied in 1 interventional study.

Conclusions

An assortment of accelerometer cut points have been used by researchers to categorize physical activity intensity for middle-aged and older adults with diabetes. Only one set of cut points was validated and calibrated in our population of interest. Additional research is warranted to address the need for diabetes-specific cut points to inform public health recommendations. This includes confirmation that the Lopes et al cut points reflect clinically meaningful changes in physical activity for adults with diabetes who have comorbidities other than overweight/obesity and the development of relative intensity cut points that may be more suitable for those with suboptimal physical functioning.

A framework for handling missing accelerometer outcome data in trials

Accelerometers and other wearable devices are increasingly being used in clinical trials to provide an objective measure of the impact of an intervention on physical activity. Missing data are ubiquitous in this setting, typically for one of two reasons: patients may not wear the device as per protocol, and/or the device may fail to collect data (e.g. flat battery, water damage). However, it is not always possible to distinguish whether the participant stopped wearing the device, or if the participant is wearing the device but staying still. Further, a lack of consensus in the literature on how to aggregate the data before analysis (hourly, daily, weekly) leads to a lack of consensus in how to define a "missing" outcome. Different trials have adopted different definitions (ranging from having insufficient step counts in a day, through to missing a certain number of days in a week). We propose an analysis framework that uses wear time to define missingness on the epoch and day level, and propose a multiple imputation approach, at the day level, which treats partially observed daily step counts as right censored. This flexible approach allows the inclusion of auxiliary variables, and is consistent with almost all the primary analysis models described in the literature, and readily allows sensitivity analysis (to the missing at random assumption) to be performed. Having presented our framework, we illustrate its application to the analysis of the 2019 MOVE-IT trial of motivational interviewing to increase exercise.

Lifestyle-related education and counseling resource utilization and cardiovascular biomarkers in midlife women with low physical activity

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3% of high-risk midlife women participated in lifestyle-related resources.

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Lifestyle-related resource use was associated with more physical activity.

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Lifestyle-related resource use was associated with lower weight in obese women.

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Lifestyle-related resource use was associated with lower glucose in some women.

Health plan-based resources are promising avenues for decreasing cardiovascular disease risk. This study examined associations of lifestyle-related resource utilization within a healthcare delivery system and cardiovascular biomarkers among midlife women with low physical activity. Midlife women (45-55 years old) with <10 min/week of reported physical activity at a primary care visit within a large integrated healthcare delivery system in Northern California in 2015 (n = 55,393) were identified. Within this cohort, subsequent lifestyle-related health education and individual coaching resource utilization, and the next recorded physical activity, weight, systolic blood pressure, plasma glucose, HDL and LDL cholesterol measures up to 2 years after the index primary care visit were identified from electronic health records. We used a multilevel linear model to estimate associations. About 3% (n = 1587) of our cohort had ≥1 lifestyle-related resource encounter; 0.3% (n = 178) had ≥ 4 encounters. Participation in ≥4 lifestyle-related resource encounters (compared to none) was associated with 51 more minutes/week of physical activity (95% CI: 33,69) at the next clinical measurement in all women, 6.2 kg lower weight (95% CI: −7.0,-5.5) at the next measurement in women with obesity, and 8–10 mg/dL lower plasma glucose (95% CI: −30,14 and −23,2, respectively) at the next measurement in women with diabetes or prediabetes. Our results support the sustained utilization of health plan-based lifestyle-related resources for improving physical activity, weight, and plasma glucose in high-risk midlife women. Given the observed low utilization, health system-wide efforts may be warranted to increase utilization of lifestyle-related resources in this population.

The Role of Disordered Eating in Type 2 Diabetes: A Pilot Study

Rates of type 2 diabetes mellitus continue to rise around the world, largely due to lifestyle factors such as poor diet, overeating, and lack of physical activity. Diet and eating is often the most challenging aspect of management and, when disordered, has been associated with increased risk for diabetes-related complications. Thus, there is a clear need for accessible and evidence-based interventions that address the complex lifestyle behaviors that influence diabetes management. The current study sought to assess the efficacy and acceptability of a pilot lifestyle intervention for women with type 2 diabetes and disordered eating. The intervention followed a cognitive behavioral therapy guided-self-help (CBTgsh) model and included several pillars of lifestyle medicine, including: diet, exercise, stress, and relationships. Ten women completed the 12-week intervention that provided social support, encouraged physical activity, and addressed eating behaviors and cognitions. Results indicate the lifestyle intervention was a feasible treatment for disordered eating behaviors among women with type 2 diabetes and was also associated with improved diabetes-related quality of life. The intervention was also acceptable to participants who reported satisfaction with the program. The current CBTgsh lifestyle intervention is a promising treatment option to reduce disordered eating and improve diabetes management.

Community health programs delivered through information and communications technology in high-income countries: a scoping review (Preprint)

Background

The COVID-19 pandemic has required widespread and rapid adoption of information and communications technology (ICT) platforms by health professionals. Transitioning health programs from face-to-face to remote delivery using ICT platforms has introduced new challenges.

Objective

The objective of this review is to scope for ICT-delivered health programs implemented within the community health setting in high-income countries and rapidly disseminate findings to health professionals.

Methods

The Joanna Briggs Institute’s scoping review methodology guided the review of the literature.

Results

The search retrieved 7110 unique citations. Each title and abstract was screened by at least two reviewers, resulting in 399 citations for full-text review. Of these 399 citations, 72 (18%) were included. An additional 27 citations were identified through reviewing the reference lists of the included studies, resulting in 99 citations. Citations examined 83 ICT-delivered programs from 19 high-income countries. Variations in program design, ICT platforms, research design, and outcomes were evident.

Conclusions

Included programs and research were heterogeneous, addressing prevalent chronic diseases. Evidence was retrieved for the effectiveness of nurse and allied health ICT-delivered programs. Findings indicated that outcomes for participants receiving ICT-delivered programs, when compared with participants receiving in-person programs, were either equivalent or better. Gaps included a paucity of co-designed programs, qualitative research around group programs, programs for patients and carers, and evaluation of cost-effectiveness. During COVID-19 and beyond, health professionals in the community health setting are encouraged to build on existing knowledge and address evidence gaps by developing and evaluating innovative ICT-delivered programs in collaboration with consumers and carers.

A Retrospective Analysis of Employee Education Level on Weight Loss Following Participation in an Online, Corporately Sponsored, Weight Loss Program

To examine weight loss characteristics relative to education for employees participating in an online weight loss program.

Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study

BACKGROUND

Weight loss interventions using mobile phone apps have recently shown promising results.

OBJECTIVE

This study aimed to analyze the short-term weight loss effect of a mobile coaching intervention when it is integrated with a local public health care center and a regional hospital's antiobesity clinic as a multidisciplinary model.

METHODS

A total of 150 overweight or obese adults signed up to complete an 8-week antiobesity intervention program with human coaching through a mobile platform. Paired t tests and multiple linear regression analysis were used to identify the intervention factors related to weight change.

RESULTS

Among the 150 participants enrolled in this study, 112 completed the 8-week weight loss intervention. Weight (baseline: mean 77.5 kg, SD 12.9; after intervention: mean 74.8 kg, SD 12.6; mean difference -2.73 kg), body mass index, waist circumference, fat mass (baseline: mean 28.3 kg, SD 6.6; after intervention: mean 25.7 kg, SD 6.3; mean difference -2.65 kg), and fat percentage all showed a statistically significant decrease, and metabolic equivalent of task (MET) showed a statistically significant increase after intervention. In multiple linear regression analysis, age (beta=.07; P=.06), △MET (beta=-.0009; P=.10), number of articles read (beta=-.01; P=.04), and frequency of weight records (beta=-.05; P=.10; R2=0.4843) were identified as significant factors of weight change. Moreover, age (beta=.06; P=.03), sex (female; beta=1.16; P=.08), △MET (beta=-.0009; P<.001), and number of articles read (beta=-.02; P<.001; R2=0.3728) were identified as significant variables of fat mass change.

CONCLUSIONS

The multidisciplinary approach, combining a mobile health (mHealth) care app by health care providers, was effective for short-term weight loss. Additional studies are needed to evaluate the efficacy of mHealth care apps in obesity treatment.

Retrospective Examination of Class Attendance on Corporately Sponsored Weight Loss Programming: The Naturally Slim Experience

OBJECTIVE

To examine the effect of class participation in participants enrolled in a corporate sponsored commercial weight loss program.

METHODS

We examined 111,262 participants for percent weight loss (primary outcome) using general linear models and weight loss relative to class participation (secondary outcome).

RESULTS

We observed a significant trend (P < 0.001) for achieving significant weight loss for the entire cohort who lost 3.65% (99% CI, 3.62, 3.69) body weight. Individuals taking ≥4 classes (n = 87,346) lost 4.97% (99% CI, 4.53, 4.61). Those taking ≥9 classes (n = 74,525) achieved 4.95% (99% CI, 4.93, 5.01) weight loss. Similar patterns for men and women were observed within each analysis.

CONCLUSION

Overall, participants lost a clinically beneficial (≥3%) amount of weight following class participation and greater class attendance produced a greater weight loss percentage approaching clinical significance (≥5%).

The Efficacy of Re-Engaging in an Employer Sponsored Weight Loss Program

OBJECTIVE

To examine the clinical benefit of re-engaging in a corporate weight loss program.

METHODS

Participants (N = 9885, 72% women) from two large employers. The primary outcome was percent weight change (mean, 95% confidence interval [CI]) across two identical courses using a general linear model analysis. Secondary and tertiary outcomes included the use of financial incentives and those re-engaging in the course between 330 and 450 days, respectively.

RESULTS

We observed no significant effect for financial incentives. The entire cohort exhibited: significant weight loss after Course 1 (-4.93%, 95% CI, -5.04, -4.81), weight regain between Course 1 and Course 2, weight loss after Course 2 (-2.30%, 95% CI, -2.40, -2.23), resulting in significant net weight loss (-4.55%, 95% CI, -4.74, -4.36) that was consistent for both sexes.

CONCLUSION

There is clinically beneficial benefit (≥ 3%) to re-engaging in a corporate weight loss program when re-engagement occurs approximately 1 year later.

Interventions for self-management of type 2 diabetes: An integrative review

BACKGROUND

Type 2 diabetes mellitus has been identified as one of the most challenging chronic illnesses to manage. Since the management of diabetes is mainly accomplished by patients and families, self-management has become the mainstay of diabetes care. However, a significant proportion of patients fail to engage in adequate self-management. A priority research question is how do interventions affect the self-management behaviors of persons with Type 2 diabetes?

PURPOSE/OBJECTIVES

The purpose of this integrative review is to provide a summary and critique of interventions that support diabetes self-management in the patient with Type II diabetes mellitus.

DESIGN

An integrative review design, with a comprehensive methodological approach of reviews, allowing inclusion of experimental and non-experimental studies.

PROCEDURES

A comprehensive search was conducted via Ebscohost using databases of Academic Search Complete, CINAHL, Health Source: Nursing/Academic Edition, MEDLINE, PsycArtiCLES, and PsycInfo. The final number of papers used for this review were: motivational interviewing (6), peer support/coaching (10), problem solving therapy (3), technology-based interventions (30), lifestyle modification programs (7), patient education (11), mindfulness (3), and cognitive behavioral therapy (5).

RESULTS

Studies were examined from seventeen countries including a broad range of cultures and ethnicities. While interventions have shown mixed results in all interventional categories, many studies do support small to modest improvements in physiologic, behavioral, and psychological outcome measures. Considerable heterogeneity of interventions exists. The most commonly reported physiologic measure was HbA1c level. Outcome measures were collected mostly at 6 and 12 months. Duration of most research was limited to one year.

CONCLUSIONS

Research exploring the impact of interventions for self-management has made major contributions to the care of persons with type 2 diabetes, from offering suggestions for improving care, to stimulating new questions for research. However, implications for clinical practice remain inconclusive, and limitations in existing research suggest caution in interpreting results of studies.

Comparing private and public transport access to diabetic health services across inner, middle, and outer suburbs of Melbourne, Australia

BACKGROUND

Melbourne, Australia is experiencing rapid population growth, with much of this occurring in metropolitan outer suburban areas, also known as urban growth areas. Currently little is known about differences in travel times when using private and public transport to access primary and secondary services across Melbourne's urban growth areas. Plan Melbourne Refresh, a recent strategic land use document has called for a 20 min city, which is where essential services including primary health care, can be accessed within a 20 min journey. Type 2 diabetes mellitus (T2DM) is a major chronic condition in Australia, with some of Melbourne's growth areas having some of the highest prevalence across Australia. This study explores travel times to diabetic health care services for populations residing in inner, middle and outer suburbs of metropolitan Melbourne.

METHOD

Geographic information systems (GIS) software were used to map the location of selected diabetic primary and secondary health care service providers across metropolitan inner, middle, outer established, outer urban growth and outer fringe areas of Melbourne. An origin-destination matrix was used to estimate travel distances from point of origin (using a total of approximately 50,000 synthetic residential addresses) to the closest type of each diabetic health care service provider (destinations) across Melbourne. ArcGIS was used to estimate travel times for private transport and public transport; comparisons were made by area.

RESULTS

Our study indicated increased travel times to diabetic health services for people living in Melbourne's outer growth and outer fringe areas compared with the rest of Melbourne (inner, middle and outer established). Compared with those living in inner city areas, the median time spent travelling to diabetic services was between 2.46 and 23.24 min (private motor vehicle) and 12.01 and 43.15 min (public transport) longer for those living in outer suburban areas. Irrespective of travel mode used, results indicate that those living in inner and middle suburbs of Melbourne have shorter travel times to access diabetic health services, compared with those living in outer areas of Melbourne. Private motor vehicle travel times were approximately 4 to 5 times faster than public transport modes to access diabetic health services in all areas.

CONCLUSION

Those living in new urban growth communities spend considerably more time travelling to access diabetic health services - particularly specialists - than those living in established areas across Melbourne.

A Community Health Worker-Delivered Intervention in African American Women with Type 2 Diabetes: A 12-Month Randomized Trial

OBJECTIVE

To evaluate the effectiveness of a community health worker (CHW)-delivered lifestyle intervention for African American women with type 2 diabetes.

METHODS

Participants were randomized to either 16 phone-based lifestyle intervention sessions aimed at making small changes in their diet and activity or 16 educational mailings sent across 12 months. Main outcomes included glycosylated hemoglobin (HbA1c), blood pressure (BP), and weight (kg) changes.

RESULTS

Two hundred middle-aged (mean = 53 ± 10.24 years), rural, African American women with moderate obesity (mean BMI = 37.7 ± 8.02) and type 2 diabetes (mean HbA1c = 9.1 ± 1.83) were enrolled. At 12 months, the intervention group exhibited no significant differences in HbA1c (-0.29 ± 1.84 vs. + 0.005 ± 1.61; P = 0.789) or BP (-1.01 ± 20.46/+0.66 ± 13.24 vs. + 0.22 ± 25.33/-2.87 ± 1.52; P = 0.100) but did exhibit greater weight loss (-1.35 ± 6.22  vs. -0.39 ± 4.57 kg, respectively; P = 0.046) compared with controls. Exploratory post hoc analyses revealed that participants not using insulin had significantly greater reductions in HbA1c (-0.70 ± 1.86 vs. + 0.07 ± 2.01; P = 0.000), diastolic BP (-5.17 ± 14.16 vs. -3.40 ± 14.72 mmHg; P = 0.035), and weight (-2.36 ± 6.59 vs. -1.64 ± 4.36 kg; P = 0.003) compared to controls not on insulin.

CONCLUSIONS

A phone-based CHW intervention resulted in no significant improvements in HbA1c or BP but did demonstrate modest improvements in weight. Women not using insulin showed significant improvements in all primary outcomes.

The impact of telephonic wellness coaching on weight loss: A "Natural Experiments for Translation in Diabetes (NEXT-D)" study

OBJECTIVE

To evaluate the impact of a population-based telephonic wellness coaching program on weight loss.

METHODS

Individual-level segmented regression analysis of interrupted time series data comparing the BMI trajectories in the 12 months before versus the 12 months after initiating coaching among a cohort of Kaiser Permanente Northern California members (n = 954) participating in The Permanente Medical Group Wellness Coaching program in 2011. The control group was a 20:1 propensity-score matched control group (n = 19,080) matched with coaching participants based on baseline demographic and clinical characteristics.

RESULTS

Wellness coaching participants had a significant upward trend in BMI in the 12 months before their first wellness coaching session and a significant downward trend in BMI in the 12 months after their first session equivalent to a clinically significant reduction of greater than one unit of baseline BMI (P < 0.01 for both). The control group did not have statistically significant decreases in BMI during the post-period.

CONCLUSIONS

Wellness coaching has a positive impact on BMI reduction that is both statistically and clinically significant. Future research and quality improvement efforts should focus on disseminating wellness coaching for weight loss in patients with diabetes and those at risk for developing the disease.

Perspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related Research

Research into the role of diet in health faces a number of methodologic challenges in the choice of study design, measurement methods, and analytic options. Heavier reliance on randomized controlled trial (RCT) designs is suggested as a way to solve these challenges. We present and discuss 7 inherent and practical considerations with special relevance to RCTs designed to study diet: 1) the need for narrow focus; 2) the choice of subjects and exposures; 3) blinding of the intervention; 4) perceived asymmetry of treatment in relation to need; 5) temporal relations between dietary exposures and putative outcomes; 6) strict adherence to the intervention protocol, despite potential clinical counter-indications; and 7) the need to maintain methodologic rigor, including measuring diet carefully and frequently. Alternatives, including observational studies and adaptive intervention designs, are presented and discussed. Given high noise-to-signal ratios interjected by using inaccurate assessment methods in studies with weak or inappropriate study designs (including RCTs), it is conceivable and indeed likely that effects of diet are underestimated. No matter which designs are used, studies will require continued improvement in the assessment of dietary intake. As technology continues to improve, there is potential for enhanced accuracy and reduced user burden of dietary assessments that are applicable to a wide variety of study designs, including RCTs.

The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial

Background

Overweight and obesity, due to a Westernized diet and lack of exercise, are serious global problems that negatively affect not only personal health, but national economies as well. To solve these problems, preventative-based approaches should be taken rather than medical treatments after the occurrence of disease. The improvement of individual life habits, through continuous care, is thus a paramount, long-term treatment goal. This study describes the effects of ubiquitous health care (uHealth care) or SmartCare services in the treatment of weight loss and obesity.

Objective

The aim of this study is to evaluate the effect of SmartCare services on weight loss compared to the effects of existing outpatient treatments in obese patients with metabolic syndrome.

Methods

Metabolic syndrome patients who met the inclusion/exclusion criteria were enrolled in the study and randomized into an intervention or control group. The intervention group was provided with remote monitoring and health care services in addition to the existing treatment. The control group was provided with only the existing treatment. Pedometers were given to all of the patients. Additionally, mobile phones and body composition monitors were provided to the intervention group while body weight scales were provided to the control group. The patients visited the hospitals at 12 and 24 weeks following the baseline examination to receive efficacy and safety evaluations.

Results

Mean weight reduction from baseline to week 24 was measured as a primary efficacy evaluation parameter and was found to be 2.21 kg (SD 3.60) and 0.77 kg (SD 2.77) in the intervention and control group, respectively. The intervention group had a larger decrement compared to the control group (P<.001). Among the secondary efficacy evaluation parameters, body mass index (BMI) (P<.001), body fat rate (P=.001), decrement of waist measurement (P<.001), and diet habit (P=.012) improvement ratings from baseline to week 24 were found to be superior in the intervention group compared with the control group. The proportion of patients whose body weight decreased by ≥10%, lipid profiles, blood pressure, prevalence of metabolic syndrome, change in the number of metabolic syndrome elements, smoking rate, drinking rate, and physical activity were not statistically significant between the groups.

Conclusions

The efficacy of SmartCare services was confirmed as the intervention group that received both SmartCare services and the existing treatment had superior results compared with the control group that only received the existing treatment. Importantly, no specific problems with respect to safety concerns were observed. SmartCare service is thus an effective way to control the weight of obese patients with metabolic syndrome.

Trial Registration

Clinicaltrials.gov NCT01344811; https://clinicaltrials.gov/ct2/show/NCT01344811 (Archived by Webcite at http://www.webcitation.org/6alT2MmIB)