Measurement of Continuous Ambulatory Peritoneal Dialysis Prescription Adherence Using a Novel Approach

Objective

The purpose of the study was to test a novel approach to monitoring the adherence of continuous ambulatory peritoneal dialysis (CAPD) patients to their dialysis prescription.

Design

A descriptive observational study was done in which exchange behaviors were monitored over a 2-week period of time.

Setting

Patients were recruited from an outpatient dialysis center.

Participants

A convenience sample of patients undergoing CAPD at Piedmont Dialysis Center in Winston–Salem, North Carolina was recruited for the study. Of 31 CAPD patients, 20 (64.5%) agreed to participate.

Measures

Adherence of CAPD patients to their dialysis prescription was monitored using daily logs and an electronic monitoring device (the Medication Event Monitoring System, or MEMS; APREX, Menlo Park, California, U.S.A.). Patients recorded in their logs their exchange activities during the 2-week observation period. Concurrently, patients were instructed to deposit the pull tab from their dialysate bag into a MEMS bottle immediately after performing each exchange. The MEMS bottle was closed with a cap containing a computer chip that recorded the date and time each time the bottle was opened.

Results

One individual's MEMS device malfunctioned and thus the data presented in this report are based upon the remaining 19 patients. A significant discrepancy was found between log data and MEMS data, with MEMS data indicating a greater number and percentage of missed exchanges. MEMS data indicated that some patients concentrated their exchange activities during the day, with shortened dwell times between exchanges. Three indices were developed for this study: a measure of the average time spent in noncompliance, and indices of consistency in the timing of exchanges within and between days. Patients who were defined as consistent had lower scores on the noncompliance index compared to patients defined as inconsistent ( p = 0.015).

Conclusions

This study describes a methodology that may be useful in assessing adherence to the peritoneal dialysis regimen. Of particular significance is the ability to assess the timing of exchanges over the course of a day. Clinical implications are limited due to issues of data reliability and validity, the short-term nature of the study, the small sample, and the fact that clinical outcomes were not considered in this methodology study. Additional research is needed to further develop this data-collection approach.

BRInging the Diabetes prevention program to GEriatric populations (BRIDGE): a feasibility study

Background

The purpose of this 6-week intervention was to test the feasibility and acceptability of implementing a telehealth-adapted Diabetes Prevention Program (DPP) at a senior center.

Methods

Older adults (n = 16) attended weekly interactive webinars. At each measurement time point, participants completed questionnaires covering lifestyle, physical activity, quality of life, and food records and wore physical activity trackers. Qualitative data were gathered from 2 focus groups inviting all 16 participants with 13 and 10 participants attending, respectively.

Results

Over 2000 senior center members were contacted, approximately 2% (n = 39) responded to the recruitment email, and 16 were recruited into the study. Retention was 75%, and attendance rates averaged 80% across the six intervention sessions. The focus group participants provided positive opinions for most program components, especially the webinar group interaction and using physical activity trackers. Suggestions for improvement included a greater focus on specific needs of older adults (i.e., adapting activities) and placing a greater emphasis on dietary strategies to prevent diabetes. Mean weight loss was 2.9% (2.7 kg [95% CI 1.6, 3.7]; p value = 0.001).

Conclusion

The feasibility of providing DPP via webinar appears to be high based on the retention and attendance rates. Similar to other behavioral interventions engaging older adults, recruitment rates were low. Acceptability was evidenced by high attendance at the intervention sessions and feedback from participants during focus group sessions. The intervention efficacy should be evaluated based on CDC criteria for program recognition in a larger scale randomized trial.

Trial registration

NCT03524404. Registered 14 May 2018—retrospectively registered. Trial protocol will be provided by the corresponding author upon request.

PARTNERING WITH NUTRITION SERVICES PROGRAM PROVIDERS TO DISSEMINATE EVIDENCE-BASED PROGRAMS USING TELE-HEALTH

Among adults ≥ age 65, 48% have prediabetes and are eligible to participate in the Medicare-covered Diabetes Prevention Program (DPP). We conducted a six-week pilot study to evaluate the feasibility and acceptability of a telehealth-adapted DPP for Nutrition Services Program (NSP) older adult meal program recipients. We enrolled NSP recipients (n=16) from a New York City senior center. These DPP participants attended weekly interactive DPP webinars and completed questionnaires covering lifestyle, physical activity, quality of life, and food records, and wore physical activity trackers. Retention was 75%; attendance averaged 80%; and weight loss was 2.9% (p=0.001). Our six-week pilot data suggest that a tele-adapted DPP intervention can achieve the Medicare reimbursement goals for attendance and 5% weight loss. We are surveying NSP recipients, who receive home-delivered meals, to evaluate the acceptability and feasibility of conducting a larger scale tele-adapted DPP intervention trial among NSP participants.

Evaluating steady-state resting energy expenditure using indirect calorimetry in adults with overweight and obesity

BACKGROUND

Determining a period of steady state (SS) is recommended when estimating resting energy expenditure (REE) using a metabolic cart. However, this practice may be unnecessarily burdensome and time-consuming in the research setting.

AIM

The aim of the study was to evaluate the use of SS criteria, and compare it to alternative approaches in adults with overweight and obesity.

METHODS

In this cross-sectional, ancillary analysis, participants enrolled in a bariatric (study 1; n = 13) and lifestyle (study 2; n = 51) weight loss intervention were included. Indirect calorimetry was performed during baseline measurements using a metabolic cart for 25 min, including a 5-min stabilization period at the start. SS was defined as the first 5-min period with a coefficient of variation (CV) ≤10% for both VO₂ and VCO₂ (hereafter REE_5-SS). Body composition was measured using bioelectrical impedance analysis in study 2 participants only. REE_5-SS was compared against the lowest CV (REE_CV-lowest), 5-min time intervals (REE_6-10, REE_11-15, REE_16-20, REE_21-25), 4-min and 3-min SS intervals (REE_4-SS and REE_3-SS), and time intervals of 6-15, 6-20 and 6-25 min (REE_6-15, REE_6-20, and REE_6-25) using repeated measures ANOVA and Bland-Altman analysis to test for bias, limits of agreement and accuracy (±6% measured REE).

RESULTS

Participants were 54 ± 13 years old, mostly women (75%) and had a BMI of 35 ± 5 kg/m². Overall, 54/63 (84%) of participants reached REE_5-SS, often (47/54, 87%) within the first 10-min (6-15 min). Alternative approaches to estimating REE had a relatively low bias (-16 to 13 kcals), narrow limits of agreement and high accuracy (83-98%) when compared to REE_5-SS, in particular, outperforming standard prediction equations (e.g., Mifflin St. Joer).

CONCLUSION

Indirect calorimetry measurements that utilize the 5-min SS approach to estimate REE are considered the gold-standard. Under circumstances of non-SS, it appears 4-min and 3-min SS periods, or fixed time intervals of atleast 5 min are accurate and practical alternatives for estimating REE in adults with overweight and obesity. However, future trials should validate alternative methods in similar populations to confirm these findings.

Barriers and Facilitators to the Implementation of a Mobile Insulin Titration Intervention for Patients With Uncontrolled Diabetes: A Qualitative Analysis

BACKGROUND

In 2016, a short message service text messaging intervention to titrate insulin in patients with uncontrolled type 2 diabetes was implemented at two health care facilities in New York City.

OBJECTIVE

This study aimed to conduct a qualitative evaluation assessing barriers to and the facilitators of the implementation of the Mobile Insulin Titration Intervention (MITI) program into usual care.

METHODS

We conducted in-depth interviews with 36 patients enrolled in the MITI program and the staff involved in MITI (n=19) in the two health care systems. Interviews were transcribed and iteratively coded by two study investigators, both inductively and deductively using a codebook guided by the Consolidated Framework for Implementation Research.

RESULTS

Multiple facilitator themes emerged: (1) MITI had strong relative advantages to in-person titration, including its convenience and time-saving design, (2) the free cost of MITI was important to the patients, (3) MITI was easy to use and the patients were confident in their ability to use it, (4) MITI was compatible with the patients' home routines and clinic workflow, (5) the patients and staff perceived MITI to have value beyond insulin titration by reminding and motivating the patients to engage in healthy behaviors and providing a source of patient support, and (6) implementation in clinics was made easy by having a strong implementation climate, communication networks to spread information about MITI, and a strong program champion. The barriers identified included the following: (1) language limitations, (2) initial nurse concerns about the scope of practice changes required to deliver MITI, (3) initial provider knowledge gaps about the program, and (4) provider perceptions that MITI might not be appropriate for some patients (eg, older or not tech-savvy). There was also a theme that emerged during the patient and staff interviews of an unmet need for long-term additional diabetes management support among this population, specifically diet, nutrition, and exercise support.

CONCLUSIONS

The patients and staff were overwhelmingly supportive of MITI and believed that it had many benefits and that it was compatible with the clinic workflow and patients' lives. Initial implementation efforts should address staff training and nurse concerns. Future research should explore options for integrating additional diabetes support for patients.

Adherence to Self-monitoring of Dietary Intake During a Weight Loss Intervention: Does a Personalized Approach Maintain Adherence? (FS11-04-19)

Objectives

We compared self-monitoring adherence in participants randomized to two weight loss programs: a STANDARDIZED, one-size-fits-all, low-fat diet, or a diet PERSONALIZED to minimize the postprandial glycemic response.

Methods

Participants were adults with pre-diabetes or type 2 diabetes, and a BMI >27 k/m2. Both groups were instructed to restrict total calories, monitor dietary intake with the Personal Nutrition Program (PNP) smartphone app, and attend videoconference behavioral counseling sessions on the same intervention schedule. STANDARDIZED (n = 12) received app feedback about intake of total calories and dietary fat. PERSONALIZED (n = 20) received app feedback about intake of total calories plus a meal-specific predicted glycemic score. Total meal entries were measured at 1, 2 and 3 months. Self-monitoring adherence was defined as logging >50% of expected meals each month into the PNP app, assuming 3 meals/day. Session attendance was also measured. Repeated measures binomial logistic regression analysis was used to assess change in adherence due to treatment group, time (i.e., months), and the interaction between treatment and time, adjusting for age, gender and BMI.

Results

Proportion adherent was 75.0%, 41.7% and 8.3% in the STANDARDIZED group and 85.0%, 80.0% and 75.0% in the PERSONALIZED group during months 1, 2 and 3, respectively. The repeated measures model demonstrated a significant effect of month (P < 0.001) and a treatment*month interaction (P = 0.011). After adjusting for covariates, these effects remained significant, showing a significant reduction in odds of adherence by month (OR [95%CI]: 0.13 [0.05, 0.37]; P < 0.001). Moreover, compared to the STANDARDIZED, PERSONALIZED participants had greater odds of adherence over time (OR [95%CI]: 5.12 [1.49, 17.6]; P = 0.009). Higher BMI was significantly associated with lower adherence (OR [95%CI]: 0.92 [0.87, 0.98]; P = 0.006). The proportion of attendance at videoconference sessions was similar between groups (STANDARDIZED: 77.1%; PERSONALIZED: 77.5%).

Conclusions

Two weight loss programs having similar calorie targets, behavioral approach, and contact schedule resulted in similar session attendance. However, adherence to self-monitoring was better when feedback was personalized.

Funding Sources

American Heart Association.

Methods for Estimating Resting Energy Expenditure Using Indirect Calorimetry in Adults with Overweight and Obesity (P13-030-19)

Objectives

Standard procedures to estimate resting energy expenditure (REE) using indirect calorimetry are time-consuming, and may be unnecessary. Indeed, the guidelines recommend a pre-test resting period of 30-minutes, followed by a 5-minute stabilization period, and then waiting until the first steady state period (SS), defined as a 5-minute period with a coefficient of variance (CV) of <10% for VO2 and VCO2, to estimate REE. The aim of the study was to evaluate alternative procedures for estimating REE in adults with overweight and obesity.

Methods

Indirect calorimetry was performed in 37 adults enrolled in a weight loss trial using a metabolic cart (Quark RMR, COSMED). The volume of oxygen (VO2) and volume of carbon dioxide (VCO2) were collected every 10 sec for ≥20-minutes following pre-test resting (10-mins) and stabilization (5-mins) periods. The measurement period was segmented into five-minute (REE6–10, REE11–15, REE16–20, and REE21–25) and rolling (REE6–15, REE6–20, and REE6–25) periods, and VO2, VCO2, and CV were calculated for each period. REE was calculated using standard criteria (REESS). Alternative SS periods of 3- and 4-minutes (REE3 and REE4) were applied to those who did not achieve REESS. REESS estimates were compared to the other estimates of REE using paired t-tests.

Results

Participants were 51 ± 14SD yo, primarily women (78%), and had a BMI of 35.4 ± 5.5SD kg/m2. REESS was achieved by 81% (n = 30) of all participants, and 54% (n = 20) achieved REESS during the first 5-minute period (REE6–10) following stabilization. Applying REE3 and REE4 criteria, those who did not reach REESS increased to 92% (n = 34). There were no significant differences between REESS, and REE3 (P = 0.21), REE4 (P = 0.40), REE6–10 (P = 0.38), REE6–15 (P = 0.15) or REE6–20 (P = 0.05).

Conclusions

The majority of adults with overweight and obesity met the standard criteria for SS following a reduced pre-test resting period. However, the non-significant difference between REESS and rolling averages suggest the standard criteria may be unnecessary in a group setting.

Funding Sources

American Heart Association.

Plant Protein Intake Is Not Associated with Cardiovascular Disease Risk Factors in Diabetic Patients with Chronic Kidney Disease (P08-055-19)

Objectives

A higher percentage of protein consumed from plants may have cardiovascular benefits and be associated with lower mortality in chronic kidney disease (CKD) patients. The purpose of this study was to examine the association of self-reported dietary protein intake with cardiovascular disease (CVD) risk factors in patients with type 2 diabetes (T2D) and CKD.

Methods

Baseline 3-day food records were obtained from 202 participants of an ongoing lifestyle intervention study, and analyzed using Nutrition Data System for Research (2014). Participants were categorized into tertiles based on total protein intake (<66.9 g, 66.9–92.4 g, > 92.4 g) and percent of total protein coming from plant sources (<27.9%, 27.9–37.8%, >37.8%). CVD risk factors included estimated glomerular filtration rate (eGFR), pulse wave velocity (PWV), fasting lipids (total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides [TG]), and hemoglobin A1c [HbA1c]). Analyses of covariance examined mean differences in CVD risk factors among the tertiles, controlling for age and total energy intake.

Results

The participants were 57% male, 89% non-Hispanic, 69% white, and 66 ± 9 years of age with a mean body mass index of 33.6 ± 5 kg/m2. Prior myocardial infarction was reported by 25(12.6%) of participants. Average daily protein intake was 83.3 ± 29.3 g (0.9 ± 0.3 g/kg body weight), with the average % of protein consumed from plant sources 34 ± 13%. There were no statistically significant differences between the total protein intake tertiles for the CVD risk factors (eGFR [P = .36], PWV [P = .86], total cholesterol [P = .09], LDL-cholesterol [P = .26], HDL-cholesterol [P = .88], TG [P = .88], HbA1c [P = .82]. Additionally, there were no statistically significant differences between the % of total protein intake from plant sources tertiles for the CVD risk factors (eGFR [P = .32], PWV [P = .92], total cholesterol [P = .29], LDL-cholesterol [P = .10], HDL-cholesterol [P = .57], TG [P = .13], HbA1c [P = .93].

Conclusions

Contrary to expectations, CVD risk factors did not differ among tertiles for total protein intake or % of total protein from plant sources. These findings suggest that, at baseline, dietary protein was not associated with CVD risk factors in patients with T2D and CKD.

Funding Sources

National Institutes of Health (NIDDK, NINR).

Glycemic Variability and Hemoglobin A1c and Their Associations with Blood Pressure Among Overweight Adults with Prediabetes or Type 2 Diabetes (P12-008-19)

Objectives

Hemoglobin A1c (HbA1c) is associated with hypertension in prediabetes (PD) and type 2 diabetes (T2D), both of which are associated with increased cardiovascular disease (CVD) risk. Traditionally, HbA1c is the standard approach to assessing glycemic status, however, glycemic variability (GV)—the daily fluctuations in blood glucose concentrations—may be more predictive of CVD. Little is known regarding the relationship between GV and blood pressure (BP). Therefore, we examined GV and HbA1c and their associations with BP in overweight adults with PD and early stage T2D enrolled in a weight loss study.

Methods

Participants had a history of PD or T2D treated with lifestyle alone or lifestyle and metformin. Data for this report were obtained at baseline and included sociodemographics, height, weight, BP, and HbA1c. Up to two weeks of continuous glucose monitoring data were collected using the Abbott Freestyle Libre Pro, and mean amplitude of glycemic excursions (MAGE) was computed using EasyGV. Linear mixed models were used to test the associations of MAGE and HbA1c with BP, with adjustment for sociodemographic characteristics, as well as to compare MAGE on weekdays versus weekends. Repeated measures ANOVA was used to investigate the within-subject and between-subject variation of MAGE. All analyses were performed using R software.

Results

Study participants (n = 35) were mostly female (66%) and non-Hispanic white (69%), with a mean (SD) age of 57 (11) years, BMI of 33.0 (4.0) kg/m2, HbA1c of 5.6 (0.5) %, and systolic and diastolic BP (SBP, DBP) of 124 (14) and 71 (8) mmHg, respectively. MAGE differed significantly between participants (P < 0.001), however within person was fairly stable (P = 0.14). There were no significant differences in MAGE on weekdays versus weekends (P = 0.27). MAGE, but not HbA1c, was positively associated with SBP (P = 0.02 vs P = 0.44), while adjusting for age, gender, race and BMI. When HbA1c was added to the model, the association of MAGE with SBP remained significant (P = 0.03).

Conclusions

Among overweight adults with PD and early-stage T2D, MAGE was found to be associated with SBP. This suggests that a measure of daily GV may be a good alternative measure of metabolic health outcomes in this population.

Funding Sources

This work was funded by the American Heart Association.

The Impact of Daytime Sleepiness on Dietary Intake in Overweight/Obese Individuals with Diabetes and Chronic Kidney Disease (P08-019-19)

Objectives

Sleep disturbances have been recognized as risk factors in the etiology of chronic disease and obesity. Although multifactorial, the link may be due to dietary intake, mediated by appetite hormones, hedonic feeding, altered intake times, and extended intake hours. The purpose of this study was to examine daytime sleepiness and dietary intake in overweight/obese individuals with diabetes and chronic kidney disease.

Methods

Three-day food records were completed at baseline from 133 participants in an ongoing lifestyle intervention study, and analyzed using the Nutrition Data System for Research (2014). Daily dietary intakes were summarized for energy (kcal), carbohydrate (g), fat (g), alcohol (g), added sugars (g), and refined grains (ounce equivalents). Self-reported measures of daytime sleepiness were measured using the Epworth Sleepiness Scale (ESS). Participants rated their level of sleepiness (scale 0–3) in eight different situations, which were summed to provide a total score. The ESS scores were dichotomized with 0–10 indicating “normal daytime sleepiness” (NDS) and 11–24 indicating “excessive daytime sleepiness” (EDS). IBM SPSS Statistics (version 25.0) was utilized to complete the descriptive and inferential analyses. Independent sample t-tests examined differences between the two sleepiness groups. Results were considered significant at p ≤ 0.05.

Results

The participants were 53.4% male, 89.5% non-Hispanic, 65.4% white, and 65.0 ± 9.4SD years of age with a mean body mass index of 34.0 ± 5.1SD kg/m2. Although there were no differences between sleepiness groups for fat and alcohol intakes, the EDS group reported a higher mean intake of carbohydrate (EDS: 247 ± 148SD g, NDS: 183 ± 76SD g; P = 0.048) and refined grains (EDS: 7.0 ± 6.5SD ounce, NDS: 4.2 ± 3.0SD ounce; P = 0.048). Although not statistically significant, the EDS group exhibited a trend toward having a higher energy intake (EDS: 2130 ± 1083SD kcal, NDS: 1776 ± 618SD kcal; P = 0.133) and added sugar intake (EDS: 44 ± 53SD g, NDS: 28 ± 26SD g, P = 0.179).

Conclusions

Similar to other reports, sleep disturbances, as noted by EDS, were associated with a higher intake of carbohydrate and refined grains. The results of this study support the role of sleep, alongside diet and physical activity, as important modifiable risk factors for chronic disease and obesity.

Funding Sources

National Institutes of Health (NIDDK, NINR)

The rationale and design of the personal diet study, a randomized clinical trial evaluating a personalized approach to weight loss in individuals with pre-diabetes and early-stage type 2 diabetes

Weight loss reduces the risk of type 2 diabetes mellitus (T2D) in overweight and obese individuals. Although the physiological response to food varies among individuals, standard dietary interventions use a "one-size-fits-all" approach. The Personal Diet Study aims to evaluate two dietary interventions targeting weight loss in people with prediabetes and T2D: (1) a low-fat diet, and (2) a personalized diet using a machine-learning algorithm that predicts glycemic response to meals. Changes in body weight, body composition, and resting energy expenditure will be compared over a 6-month intervention period and a subsequent 6-month observation period intended to assess maintenance effects. The behavioral intervention is delivered via mobile health technology using the Social Cognitive Theory. Here, we describe the design, interventions, and methods used.

Sociodemographic and clinical correlates of key outcomes from a Mobile Insulin Titration Intervention (MITI) for medically underserved patients

BACKGROUND

Insulin titration is typically done face-to-face with a clinician; however, this can be a burden for patients due to logistical issues associated with in-person clinical care. The Mobile Insulin Titration Intervention (MITI) used basic cell phone technology including text messages and phone calls to help patients with diabetes find their optimal basal insulin dose (OID).

OBJECTIVE

To evaluate sociodemographic and clinical correlates of reaching OID, text message response rate, and days needed to reach OID.

METHODS

Primary care providers referred patients to MITI and nurses delivered the program. Three multivariable regression models quantified relationships between various correlates and primary outcomes.

RESULTS

The sample included 113 patients from 2 ambulatory clinics, with a mean age of 50 years (SD = 10), 45% female, 79% Hispanic, 43% unemployed, and 46% uninsured. In regression models, baseline fasting blood glucose (FBG) was negatively associated with odds of reaching OID and 100% text responses, and positively associated with days to reach OID, p < .05).

CONCLUSIONS

Patients with higher baseline FBG levels were less successful across outcomes and may need additional supports in future mHealth diabetes programs.

PRACTICAL IMPLICATIONS

Basic cell phone technology can be used to adjust patients' insulin remotely, thereby reducing logistical barriers to care.

Determinants and the Role of Self-Efficacy in a Sodium-Reduction Trial in Hemodialysis Patients

OBJECTIVE

This study was to assess the impact of baseline dietary self-efficacy on the effect of a dietary intervention to reduce sodium intake in patients undergoing hemodialysis (HD) and to identify determinants of low dietary self-efficacy.

METHODS

This is a post hoc analysis of the BalanceWise study, a randomized controlled trial that aimed to reduce dietary sodium intake in HD patients recruited from 17 dialysis centers in Pennsylvania. The main outcome measures include dietary self-efficacy and reported dietary sodium density. Analysis of variance with post hoc group-wise comparison was used to examine the effect of baseline dietary self-efficacy on changes in reported sodium density in the intervention and control groups at 8 and 16 weeks. Chi-square test, independent t tests, or Wilcoxon rank-sum tests were used to identify determinants of low dietary self-efficacy.

RESULTS

The interaction between dietary self-efficacy and the impact of the intervention on changes in reported dietary sodium density approached significance at 8 and 16 weeks (P interaction = 0.051 and 0.06, respectively). Younger age and perceived income inadequacy were significantly associated with low self-efficacy in patients undergoing HD.

CONCLUSION

The benefits of dietary interventions designed to improve self-efficacy may differ by the baseline self-efficacy status. This may be particularly important for HD patients who are younger and report inadequate income as they had lower dietary self-efficacy.

Congregate Meals: Opportunities to Help Vulnerable Older Adults Achieve Diet and Physical Activity Recommendations

BACKGROUND

Through diet and exercise interventions, community centers offer an opportunity to address health-related issues for some of the oldest, most vulnerable members of our society.

OBJECTIVES

The purpose of this investigation is to draw upon nationwide data to better characterize the population served by the congregate meals program and to gather more detailed information on a local level to identify opportunities for service enhancement to improve the health and well-being of older adults.

DESIGN

We examined community center data from two sources: 2015 National Survey of Older Americans Act and surveys from two New York City community centers. To assess nationwide service delivery, we analyzed participant demographics, functional status defined by activities of daily living, and perceptions of services received.

MEASUREMENTS

Participants from the two New York City community centers completed a four-day food record. Functional measures included the short physical performance battery, self-reported physical function, grip strength, and the Montreal Cognitive Assessment.

RESULTS

Nationwide (n=901), most participants rated the meal quality as good to excellent (91.7%), and would recommend the congregate meals program to a friend (96.0%). Local level data (n=22) were collected for an in-depth understanding of diet, physical activity patterns, body weight, and objective functional status measures. Diets of this small, local convenience sample were higher in fat, cholesterol, and sodium, and lower in calcium, magnesium, and fiber than recommended by current United States Dietary Guidelines. Average time engaged in moderate physical activity was 254 minutes per week (SD=227), exceeding the recommended 150 minutes per week, but just 41% (n=9) and 50% (n=11) of participants engaged in strength or balance exercises, respectively.

CONCLUSION

Research is warranted to test whether improvements in the nutritional quality of food served and access/supports for engaging in strength training within community centers could help older adults achieve diet and physical activity recommendations.

Perceived Barriers to Adherence to Hemodialysis Dietary Recommendations

Barriers to following dietary recommendations have been described; however, they remain poorly understood. The purpose of this qualitative study was to explore perceived barriers to adherence to dietary recommendations in a diverse hemodialysis patient population. Participants were eligible to participate in a semi-structured qualitative telephone interview prior to randomization for an ongoing clinical trial to evaluate the efficacy of an intervention designed to reduce dietary sodium intake. Interviews were digitally recorded, transcribed verbatim and coded using an iterative qualitative process. In total, 30 (37% females, 53% Caucasians) participants, 63.2 ± 13.3 years, were interviewed. Time, convenience, and financial constraints hindered dietary adherence. Dietary counseling efforts were rated positively but require individualization. Ability to follow recommended guidelines was challenging. Suggestions for addressing barriers include technology-based interventions that allow patients to improve food choices and real-time decision-making, and permit tailoring to individual barriers and preferences.

Identifying Geographic Disparities in Diabetes Prevalence Among Adults and Children Using Emergency Claims Data

Geographic surveillance can identify hotspots of disease and reveal associations between health and the environment. Our study used emergency department surveillance to investigate geographic disparities in type 1 and type 2 diabetes prevalence among adults and children. Using all-payer emergency claims data from 2009 to 2013, we identified unique New York City residents with diabetes and geocoded their location using home addresses. Geospatial analysis was performed to estimate diabetes prevalence by New York City Census tract. We also used multivariable regression to identify neighborhood-level factors associated with higher diabetes prevalence. We estimated type 1 and type 2 diabetes prevalence at 0.23% and 10.5%, respectively, among adults and 0.20% and 0.11%, respectively, among children in New York City. Pediatric type 1 diabetes was associated with higher income (P = 0.001), whereas adult type 2 diabetes was associated with lower income (P < 0.001). Areas with a higher proportion of nearby restaurants categorized as fast food had a higher prevalence of all types of diabetes (P < 0.001) except for pediatric type 2 diabetes. Type 2 diabetes among children was only higher in neighborhoods with higher proportions of African American residents (P < 0.001). Our findings identify geographic disparities in diabetes prevalence that may require special attention to address the specific needs of adults and children living in these areas. Our results suggest that the food environment may be associated with higher type 1 diabetes prevalence. However, our analysis did not find a robust association with the food environment and pediatric type 2 diabetes, which was predominantly focused in African American neighborhoods.

Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study

Background

The Mobile Insulin Titration Intervention (MITI) program helps patients with type 2 diabetes find their correct basal insulin dose without in-person care. Requiring only basic cell phone technology (text messages and phone calls), MITI is highly accessible to patients receiving care in safety-net settings. MITI was shown in a randomized controlled trial (RCT) to be efficacious at a New York City (NYC) safety-net clinic where patients often have challenges coming for in-person care. In 2016, MITI was implemented as usual care at Bellevue Hospital (the site of the original RCT) and at Gouverneur Health (a second NYC safety-net clinic) under 2 different staffing models.

Objective

This implementation study examined MITI’s transition into real-world settings. To understand MITI’s flexibility, generalizability, and acceptability among patients and providers, we evaluated whether MITI continued to produce positive outcomes in expanded underserved populations, outside of an RCT setting.

Methods

Patients enrolled in MITI received weekday text messages asking for their fasting blood glucose (FBG) values and a weekly titration call. The goal was for patients to reach their optimal insulin dose (OID), defined either as the dose of once-daily basal insulin required to achieve either an FBG of 80-130 mg/dL (4.4-7.2 mmol/L) or as the reaching of the maximum dose of 50 units. After 12 weeks, if OID was not reached, the patients were asked to return to the clinic for in-person care and titration. MITI program outcomes, clinical outcomes, process outcomes, and patient satisfaction were assessed.

Results

MITI was successful at both sites, each with a different staffing model. Providers referred 170 patients to the program—129 of whom (75.9%, 129/170) were eligible. Of these, 113 (87.6%, 113/129) enrolled. Moreover, 84.1% (95/113) of patients reached their OID, and they did so in an average of 24 days. Clinical outcomes show that mean FBG levels fell from 209 mg/dL (11.6 mmol/L) to 141 mg/dL (7.8 mmol/L), P<.001. HbA_1c levels fell from 11.4% (101 mmol/mol) to 10.0% (86 mmol/mol), P<.001. Process outcomes show that 90.1% of MITI’s text message prompts received a response, nurses connected with patients 81.9% of weeks to provide titration instructions, and 85% of attending physicians made at least one referral to the MITI program. Satisfaction surveys showed that most patients felt comfortable sharing information over text and felt the texts reminded them to take their insulin, check their sugar, and make healthy food choices.

Conclusions

This implementation study showed MITI to have continued success after transitioning from an RCT program into real-world settings. MITI showed itself to be flexible and generalizable as it easily fits into a second site staffed by general medical clinic–registered nurses and remained acceptable to patients and staff who had high levels of engagement with the program.

Phosphate Additive Avoidance in Chronic Kidney Disease

IN BRIEF Dietary guidelines for patients with diabetes extend beyond glycemic management to include recommendations for mitigating chronic disease risk. This review summarizes the literature suggesting that excess dietary phosphorus intake may increase the risk of skeletal and cardiovascular disease in patients who are in the early stages of chronic kidney disease (CKD) despite having normal serum phosphorus concentrations. It explores strategies for limiting dietary phosphorus, emphasizing that food additives, as a major source of highly bioavailable dietary phosphorus, may be a suitable target. Although the evidence for restricting phosphorus-based food additives in early CKD is limited, diabetes clinicians should monitor ongoing research aimed at assessing its efficacy.

Identifying Local Hot Spots of Pediatric Chronic Diseases Using Emergency Department Surveillance

OBJECTIVE

To use novel geographic methods and large-scale claims data to identify the local distribution of pediatric chronic diseases in New York City.

METHODS

Using a 2009 all-payer emergency claims database, we identified the proportion of unique children aged 0 to 17 with diagnosis codes for specific medical and psychiatric conditions. As a proof of concept, we compared these prevalence estimates to traditional health surveys and registry data using the most geographically granular data available. In addition, we used home addresses to map local variation in pediatric disease burden.

RESULTS

We identified 549,547 New York City children who visited an emergency department at least once in 2009. Though our sample included more publicly insured and uninsured children, we found moderate to strong correlations of prevalence estimates when compared to health surveys and registry data at prespecified geographic levels. Strongest correlations were found for asthma and mental health conditions by county among younger children (0.88, P = .05 and 0.99, P < .01, respectively). Moderate correlations by neighborhood were identified for obesity and cancer (0.53 and 0.54, P < .01). Among adolescents, correlations by health districts were strong for obesity (0.95, P = .05), and depression estimates had a nonsignificant, but strong negative correlation with suicide attempts (-0.88, P = .12). Using SaTScan, we also identified local hot spots of pediatric chronic disease.

CONCLUSIONS

For conditions easily identified in claims data, emergency department surveillance may help estimate pediatric chronic disease prevalence with higher geographic resolution. More studies are needed to investigate limitations of these methods and assess reliability of local disease estimates.

Reducing the prevalence of dysglycemia: is the time ripe to test the effectiveness of intervention in high-risk individuals with elevated 1 h post-load glucose levels?

Identifying the earliest time point on the prediabetic continuum is critical to avoid progressive deterioration in β-cell function. Progressively rising glucose levels even within the "normal range" occur considerably late in the evolution to diabetes thus presenting an important opportunity for earlier diagnosis, treatment, and possible reversal. An elevated 1 h postprandial glucose level, not detected by current diagnostic standards, may provide an opportunity for the early identification of those at risk. When the 1 h post-load glucose level is elevated, lifestyle intervention may have the greatest benefit for preserving β-cell function and prevent further progression to prediabetes and diabetes. In view of the considerable consistent epidemiologic data in large disparate populations supporting the predictive capacity of the1 h post-load value for predicting progression to diabetes and mortality, the time is therefore ripe to evaluate this hypothesis in a large, prospective multicenter randomized trial with lifestyle intervention.

Examining the Proportion of Dietary Phosphorus From Plants, Animals, and Food Additives Excreted in Urine

Phosphorus bioavailability is an emerging topic of interest in the field of renal nutrition that has important research and clinical implications. Estimates of phosphorus bioavailability, based on digestibility, indicate that bioavailability of phosphorus increases from plants to animals to food additives. In this commentary, we examined the proportion of dietary phosphorus from plants, animals, and food additives excreted in urine from four controlled-feeding studies conducted in healthy adults and patients with chronic kidney disease. As expected, a smaller proportion of phosphorus from plant foods was excreted in urine compared to animal foods. However, contrary to expectations, phosphorus from food additives appeared to be incompletely absorbed. The apparent discrepancy between digestibility of phosphorus additives and the proportion excreted in urine suggests a need for human balance studies to determine the bioavailability of different sources of phosphorus.

Baseline level of 30-min plasma glucose is an independent predictor of incident diabetes among Asian Indians: analysis of two diabetes prevention programmes

BACKGROUND

The objective was to study the ability of the 30-min plasma glucose (30-min PG) during an oral glucose tolerance test to predict the future risk of type 2 diabetes among Asian Indians with impaired glucose tolerance.

METHODS

For the present analyses, we utilized data from 753 participants from two diabetes primary prevention studies, having complete data at the end of the study periods, including 236 from Indian Diabetes Prevention Programme-1 and 517 from the 2013 study. Baseline 30-min PG values were divided into tertiles: T1 < 9.1 mmol/L (<163.0 mg/dL); T2 9.2-10.4 mmol/L (164.0-187.0 mg/dL) and T3 ≥ 10.4 mmol/L (≥188 mg/dL). The predictive values of tertiles of 30-min PG for incident diabetes were assessed using Cox regression analyses RESULTS: At the end of the studies, 230 (30.5%) participants developed diabetes. Participants with higher levels of 30-min PG were more likely to have increased fasting, 2-h PG and HbA_1c levels, increased prevalence of impaired fasting glucose and decreased beta cell function. The progression rate of diabetes increased with increasing tertiles of 30-min PG. Cox's regression analysis showed that 30-min PG was an independent predictor of incident diabetes after adjustment for an array of covariates [Hazard Ratio (HR):1.44 (1.01-2.06)] CONCLUSIONS: This prospective analysis demonstrates, for the first time, an independent association between an elevated 30-min PG level and incident diabetes among Asian Indians with impaired glucose tolerance. Predictive utility of glycemic thresholds at various time points other than the traditional fasting and 2-h PG values should therefore merit further consideration. Copyright © 2016 John Wiley & Sons, Ltd.

The local geographic distribution of diabetic complications in New York City: Associated population characteristics and differences by type of complication

AIMS

To identify population characteristics associated with local variation in the prevalence of diabetic complications and compare the geographic distribution of different types of complications in New York City.

METHODS

Using an all-payer database of emergency visits, we identified the proportion of unique adults with diabetes who also had cardiac, neurologic, renal and lower extremity complications. We performed multivariable regression to identify associations of demographic and socioeconomic factors, and diabetes-specific emergency department use with the prevalence of diabetic complications by Census tract. We also used geospatial analysis to compare local hotspots of diabetic complications.

RESULTS

We identified 4.6million unique New York City adults, of which 10.5% had diabetes. Adjusting for demographic and socioeconomic factors, diabetes-specific emergency department use was associated with severe microvascular renal and lower extremity complications (p-values<0.001), but not with severe macrovascular cardiac or neurologic complications (p-values of 0.39 and 0.29). Our hotspot analysis demonstrated significant geographic heterogeneity in the prevalence of diabetic complications depending on the type of complication. Notably, the geographic distribution of hotspots of myocardial infarction were inversely correlated with hotspots of end-stage renal disease and lower extremity amputations (coefficients: -0.28 and -0.28).

CONCLUSIONS

We found differences in the local geographic distribution of diabetic complications, which highlight the contrasting risk factors for developing macrovascular versus microvascular diabetic complications. Based on our analysis, we also found that high diabetes-specific emergency department use was correlated with poor diabetic outcomes. Emergency department utilization data can help identify the location of specific populations with poor glycemic control.

Nutrient Non-equivalence: Does Restricting High-Potassium Plant Foods Help to Prevent Hyperkalemia in Hemodialysis Patients?

Hemodialysis patients are often advised to limit their intake of high-potassium foods to help manage hyperkalemia. However, the benefits of this practice are entirely theoretical and not supported by rigorous randomized controlled trials. The hypothesis that potassium restriction is useful is based on the assumption that different sources of dietary potassium are therapeutically equivalent. In fact, animal and plant sources of potassium may differ in their potential to contribute to hyperkalemia. In this commentary, we summarize the historical research basis for limiting high-potassium foods. Ultimately, we conclude that this approach is not evidence-based and may actually present harm to patients. However, given the uncertainty arising from the paucity of conclusive data, we agree that until the appropriate intervention studies are conducted, practitioners should continue to advise restriction of high-potassium foods.