Characterizing Intervention Opportunities among Home-Delivered Meals Program Participants: Results from the 2017 National Survey of Older Americans Act Participants and a New York City Survey.

BACKGROUND: The Home Delivered Meals Program (HDMP) serves a vulnerable population of adults aged 60 and older who may benefit from technological services to improve health and social connectedness. OBJECTIVE: The objectives of this study are (a) to better understand the needs of HDMP participants, and (b) to characterize the technology-readiness and the utility of delivering information via the computer. DESIGN: We analyzed data from the 2017 NSOAAP to assess the health and functional status and demographic characteristics of HDMP participants. We also conducted a telephone survey to assess technology use and educational interests among NYC HDMP participants. MEASUREMENTS: Functional measures of the national sample included comorbidities, recent hospitalizations, and ADL/IADL limitations. Participants from our local NYC sample completed a modified version of the validated Computer Proficiency Questionnaire. Technology readiness was assessed by levels of technology use, desired methods for receiving health information, and interest in learning more about virtual senior centers. RESULTS: About one-third (32.4%) of national survey HDMP participants (n=902) reported insufficient resources to buy food and 17.1% chose between food or medications. Within the NYC HDMP participant survey sample (n=33), over half reported having access to the internet (54.5%), 48.5% used a desktop or laptop, and 30.3% used a tablet, iPad, or smartphone. CONCLUSION: The HDMP provides an opportunity to reach vulnerable older adults and offer additional resources that can enhance social support and improve nutrition and health outcomes. Research is warranted to compare technological readiness of HDMP participants across urban and rural areas in the United States.

Biomarker-predicted sugars intake compared with self-reported measures in US Hispanics/Latinos: results from the HCHS/SOL SOLNAS study.

OBJECTIVE: Measurement error in self-reported total sugars intake may obscure associations between sugars consumption and health outcomes, and the sum of 24 h urinary sucrose and fructose may serve as a predictive biomarker of total sugars intake. DESIGN: The Study of Latinos: Nutrition & Physical Activity Assessment Study (SOLNAS) was an ancillary study to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort. Doubly labelled water and 24 h urinary sucrose and fructose were used as biomarkers of energy and sugars intake, respectively. Participants' diets were assessed by up to three 24 h recalls (88 % had two or more recalls). Procedures were repeated approximately 6 months after the initial visit among a subset of ninety-six participants. SETTING: Four centres (Bronx, NY; Chicago, IL; Miami, FL; San Diego, CA) across the USA. SUBJECTS: Men and women (n 477) aged 18-74 years. RESULTS: The geometric mean of total sugars was 167·5 (95 % CI 154·4, 181·7) g/d for the biomarker-predicted and 90·6 (95 % CI 87·6, 93·6) g/d for the self-reported total sugars intake. Self-reported total sugars intake was not correlated with biomarker-predicted sugars intake (r=-0·06, P=0·20, n 450). Among the reliability sample (n 90), the reproducibility coefficient was 0·59 for biomarker-predicted and 0·20 for self-reported total sugars intake. CONCLUSIONS: Possible explanations for the lack of association between biomarker-predicted and self-reported sugars intake include measurement error in self-reported diet, high intra-individual variability in sugars intake, and/or urinary sucrose and fructose may not be a suitable proxy for total sugars intake in this study population.

Translation of the Diabetes Prevention Program for diabetes risk reduction in Chinese immigrants in New York City.

AIMS: To evaluate the effectiveness and feasibility of implementing a linguistically and culturally tailored Diabetes Prevention Program among Chinese immigrants with prediabetes living in New York City. METHODS: A total of 60 Chinese immigrants with prediabetes were randomized into either a Diabetes Prevention Program lifestyle intervention (n = 30) consisting of 12 bi-weekly core sessions and six monthly post-core sessions or the control intervention (n = 30), consisting of quarterly mailing of diabetes prevention information. Each Diabetes Prevention Program intervention session lasted 1.5-2 h and covered topics such as healthy eating, physical activity, stress reduction and problem-solving skills. Outcomes such as percent change in weight, BMI, and HbA1c concentration were assessed at baseline, 6 and 12 months. A mixed-effects linear regression was applied to test the intervention effect at months 6 and 12. Data were collected in the period 2012-2013 and analysed in 2014. RESULTS: The participant attrition rate was < 5% (2 out of 60) at 12 months. There was a significantly greater percent weight loss in the intervention group (-3.5 vs. -0.1%; P = 0.0001) at 6 months, which was largely maintained at 12 months (-3.3 vs. 0.3%; P = 0.0003). CONCLUSIONS: Participants in a Diabetes Prevention Program-based intervention achieved greater weight loss and improvements in HbA1c concentration than control participants. Evaluation of the Chinese Diabetes Prevention Program curriculum in a larger trial is warranted.

Long-term changes in dietary and food intake behaviour in the Diabetes Prevention Program Outcomes Study.

AIMS: To compare change in dietary intake, with an emphasis on food groups and food intake behaviour, over time across treatment arms in a diabetes prevention trial and to assess the differences in dietary intake among demographic groups within treatment arms. METHODS: Data are from the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study. Participants were randomized to a lifestyle intervention (n = 1079), metformin (n = 1073) or placebo (n = 1082) for an average of 3 years, after which the initial results regarding the benefits of the lifestyle intervention were released and all participants were offered a modified lifestyle intervention. Dietary intake was assessed using a food frequency questionnaire at baseline and at 1, 5, 6 and 9 years after randomization. RESULTS: Compared with the metformin and placebo arms, participants in the lifestyle arm maintained a lower total fat and saturated fat and a higher fibre intake up to 9 years after randomization and lower intakes of red meat and sweets were maintained for up to 5 years. Younger participants had higher intakes of poultry and lower intakes of fruits compared with their older counterparts, particularly in the lifestyle arm. Black participants tended to have lower dairy and higher poultry intakes compared with white and Hispanic participants. In the lifestyle arm, men tended to have higher grain, fruit and fish intakes than women. CONCLUSIONS: Changes in nutrient intake among participants in the lifestyle intervention were maintained for up to 9 years. Younger participants reported more unhealthy diets over time and thus may benefit from additional support to achieve and maintain dietary goals.

US pediatric population-level associations of DXA-measured percentage of body fat with four BMI metrics with cutoffs.

OBJECTIVE: Four body mass index (BMI) metrics--BMI, BMI z-score, BMI percentile and BMI%--are commonly used as proxy measures for children's adiposity. We sought to determine a BMI metric that is most strongly associated with measured percentage of body fat (%BF) in the US pediatric population stratified by sex, age and race/ethnicity, and to determine cutoffs that maximize the association for each BMI metric. SUBJECTS, DESIGN AND METHODS: %BF was measured by dual-energy X-ray absorptiometry among N=6120 US boys and girls aged 8.0-17.9 years old from the National Health and Nutrition Examination Survey 1999-2004. We fit piecewise linear regression models with cutoffs to %BF data using each BMI metric as the predictor stratified by sex, race/ethnicity and age. The slopes were modeled differently before and after the cutoffs which were determined on the basis of grid searches. RESULTS: BMI z-score was in general most strongly associated with %BF for both boys and girls. The associations of the four BMI metrics were lowest for boys aged 12-13.9 years and girls aged 16-17.9 years, and strongest for Mexican-American boys and for non-Hispanic Black girls. Overall, the associations were stronger for girls than for boys. In boys, BMI had the lowest association with %BF (R(2)=0.39) for all ages combined. The fold changes in slopes before and after cutoffs were greatest in general for BMI percentiles regardless of age, sex and race/ethnicity. BMI z-score cutoffs were 0.4 for both boys and girls for all ages combined. Except for BMI, the slopes after the cutoffs were in general greater than those before. CONCLUSIONS: All BMI metrics were strongly associated with %BF when stratified by age and race/ethnicity except that BMI was the least associated with %BF in boys for all ages combined. Overall, BMI z-score was superior for evaluation of %BF, and its cutoff of 0.4 can also serve as a threshold for careful monitoring of weight status.

Assessing mobile food vendors (a.k.a. street food vendors)--methods, challenges, and lessons learned for future food-environment research.

OBJECTIVES: Mobile food vendors (also known as street food vendors) may be important sources of food, particularly in minority and low-income communities. Unfortunately, there are no good data sources on where, when, or what vendors sell. The lack of a published assessment method may contribute to the relative exclusion of mobile food vendors from existing food-environment research. A goal of this study was to develop, pilot, and refine a method to assess mobile food vendors. STUDY DESIGN: Cross-sectional assessment of mobile food vendors through direct observations and brief interviews. METHODS: Using printed maps, investigators canvassed all streets in Bronx County, NY (excluding highways but including entrance and exit ramps) in 2010, looking for mobile food vendors. For each vendor identified, researchers recorded a unique identifier, the vendor's location, and direct observations. Investigators also recorded vendors answers to where, when, and what they sold. RESULTS: Of 372 identified vendors, 38% did not answer brief-interview questions (19% were 'in transit', 15% refused; others were absent from their carts/trucks/stands or with customers). About 7% of vendors who ultimately answered questions were reluctant to engage with researchers. Some vendors expressed concerns about regulatory authority; only 34% of vendors had visible permits or licenses and many vendors had improvised illegitimate-appearing set-ups. The majority of vendors (75% of those responding) felt most comfortable speaking Spanish; 5% preferred other non-English languages. Nearly a third of vendors changed selling locations (streets, neighbourhoods, boroughs) day-to-day or even within a given day. There was considerable variability in times (hours, days, months) in which vendors reported doing business; for 86% of vendors, weather was a deciding factor. CONCLUSIONS: Mobile food vendors have a variable and fluid presence in an urban environment. Variability in hours and locations, having most comfort with languages other than English, and reluctance to interact with individuals gathering data are principal challenges to assessment. Strategies to address assessment challenges that emerged form this project may help make mobile-vendor assessments more routine in food-environment research.

A lifestyle assessment and intervention tool for pediatric weight management: the HABITS questionnaire.

BACKGROUND: Lifestyle assessment and intervention tools are useful in promoting pediatric weight management. The present study aimed to establish convergent validity and reliability for a quick simple measure of food intake and physical activity/sedentary behaviour. The HABITS questionnaire can be used to identify and monitor behavioural intervention targets. METHODS: Thirty-five youths (ages 7-16 years) were recruited from the waiting area of the Jacobi Medical Center Child and Teen Health Services. To establish convergent validity for the HABITS questionnaire, study participants completed the HABITS questionnaire, a 24-h recall and a modified version of the Modifiable Activity Questionnaire for Adolescents (MAQ). Participants completed a second HABITS questionnaire within 1 month to assess test-retest reliability. Internal consistency for dietary and physical activity/sedentary behaviour subscales was assessed using Cronbach's alpha, and test-retest reliability was assessed using Cohen's Kappa coefficient. Spearman's rank correlation coefficients were calculated for individual items using the 24-h recall and the MAQ as reference standards. RESULTS: The HABITS questionnaire subscales showed moderate internal consistency (Cronbach's alpha of 0.61 and 0.59 for the dietary and physical activity/sedentary behaviour subscale, respectively). The test-retest reliability was 0.94 for the dietary subscale and 0.87 for the physical activity/sedentary behaviour subscale. Several items on the HABITS questionnaire were moderately correlated with information reported in the MAQ and the 24-h recall (r = 0.38-0.59, P < 0.05). CONCLUSIONS: The HABITS questionnaire can reliably be used in a paediatric setting to quickly assess key dietary and physical activity/sedentary behaviours and to promote behaviour change for weight management.

Role of obesity and lifestyle interventions in the prevention and management of type 2 diabetes.

The growing prevalence of obesity is closely linked to the increased prevalence of diabetes worldwide. Lifestyle interventions including diet and exercise successfully reduce diabetes incidence. Long-term follow up of lifestyle intervention trials demonstrate continued reduction in diabetes incidence for up to 20. Ongoing studies are continuing to examine the translation of lifestyle interventions, as well as the effectiveness of lifestyle interventions in preventing complications of type 2 diabetes. This article will review the major studies of lifestyle interventions in preventing type 2 diabetes and translation of lifestyle interventions beyond clinical trial settings. In addition, authors will review the evidence regarding weight loss in the treatment of type 2 diabetes.

Biomarkers of body iron stores and risk of developing type 2 diabetes.

AIM: Iron may contribute to the pathogenesis of type 2 diabetes mellitus (DM) by inducing oxidative stress and interfering with insulin secretion. Elevated ferritin levels are associated with increased DM risk among healthy individuals. However, it is yet unknown if ferritin predicts DM incidence among high-risk individuals with impaired glucose tolerance (IGT). Furthermore, the association between soluble transferrin receptors (sTfR), a novel marker of iron status, and DM risk has not yet been prospectively investigated in these individuals. We conducted this study to evaluate the association between baseline levels of ferritin and sTfR and the risk of developing DM among overweight and obese individuals at high risk of DM. METHODS: This nested case-control study (280 cases and 280 matched controls) was conducted within the placebo arm of the Diabetes Prevention Program, is a clinical trial conducted among overweight/obese individuals with IGT. Ferritin and sTfR levels were measured by immunoturbidimetric assays. Incident DM was ascertained by annual 75-g oral glucose tolerance test and semi-annual fasting glucose. RESULTS: Compared with controls, cases had higher sTfR levels (3.50 +/- 0.07 vs. 3.30 +/- 0.06 mg/l; p = 0.03), but ferritin levels were not statistically different. The multivariable odds ratios (OR) and 95% confidence intervals (95% CI) for DM incidence comparing highest with the lowest quartiles of sTfR was 2.26 (1.37-4.01) (p-trend: 0.008). CONCLUSIONS: Modestly elevated sTfR levels are associated with increased DM risk among overweight and obese individuals with IGT. Future studies should evaluate factors determining sTfR levels and examine if interventions that lower body iron stores reduce DM incidence.

Computerized weight loss intervention optimizes staff time: the clinical and cost results of a controlled clinical trial conducted in a managed care setting.

OBJECTIVE: To evaluate the costs and effects of incremental components of a weight-loss program. DESIGN: A 3-arm, 12-month randomized controlled clinical trial to evaluate 3 incremental levels of intervention intensity. SUBJECTS/SETTING: The study included 588 individuals (BMI > 25 kg/m2) in a freestanding health maintenance organizalion and achieved an 81% completion rate. INTERVENTION: Using a cognitive behavioral approach for tailoring lifestyle modification goals, the incremental levels of intervention included a) a workbook alone, b) the addition of computerized tailoring using onsite computer kiosks with touch screen monitors, and c) the addition of both computers and staff consultation. MAIN OUTCOME MEASURES: Endpoints included weight parameters, lipid profile, plasma glucose, blood pressure, intervention costs, dietary intake, and physical activity. STATISTICAL ANALYSIS PERFORMED: Study endpoints were analyzed using analysis of variance for normally distributed variables and analysis of covariance to control for any baseline differences. Regression and correlation analysis assessed the relationship between weight loss and other variables. RESULTS: For the increasing levels of intervention intensity, the mean 12-month weight losses were 2.2, 4.7, and 7.4 pounds, with the respective cost per participant being $12.33, $41.99, and $133.74. The decreases in mean BMIs for these respective intervelation levels were 0.4, 0.9 and 1.2. All groups reported a decrease in energy and fat intake and an increase in blocks walked (P<.01). Intervention variables that correlated with weight loss included more computer log-ons, achieving computer-selected goals, more self-monitoring, increased walking, and decreased energy and fat intake, as well as higher attendance in staff consultation group sessions for that treatment condition. Weight loss correlated with decreases in fasting glucose and blood pressure. APPLICATIONS/CONCLUSIONS: In a weight-loss program, computers can facilitate selecting behavioral change goals. More frequent usage resulted in greater weight loss. Staff counseling to augment the computer intervention achieved the most weight loss.

The relation of type 2 diabetes and cancer.

Increasing evidence indicates that individuals with type 2 diabetes (diabetes) are at elevated risk for several common human malignancies, including cancers of the colon, breast, endometrium, pancreas, and liver. In particular, the consistent positive results reported by prospective investigations make it unlikely that methodologic issues, occult tumors, or chance results could explain the findings. Since diabetes and impaired fasting glucose together affect >25% of Americans above age 50, even a moderate etiologic association (e.g., relative risk = 1.5) would explain >10% of involved malignancies. Laboratory studies have suggested biologically plausible mechanisms. Insulin, for example, is typically at high levels during the development and early stages of diabetes. Activation of the insulin receptor by its ligand, or cross-activation of the insulin-like growth factor-I receptor, has been shown to be mitogenic and promote tumorigenesis in various model systems. A "unifying concept," in fact, holds that hyperinsulinemia may underlie the cancer associations of several additional risk factors, including high waist circumference, visceral fat, waist-to-hip ratio, body mass index, sedentary lifestyle, and energy intake. In this review, we assess current evidence regarding the relation of type 2 diabetes with cancer, and evaluate the findings in terms of well-accepted criteria for establishing causality.

Estimating software development costs for a patient multimedia education project.

The authors compare alternative methods of cost estimation for a patient multimedia education (PME) program, using a computerized weight-reduction PME project as an example. Data from the project planning and budgeting process and actual costs of the completed project are analyzed retrospectively to calculate three different estimates-pre-work, post-work, and actual work. Three traditional methods of estimating the cost of computer programs (the lines-of-code, function point, and task ratio analyses) underestimate costs in this example. A commercial program (Cost Xpert) that calculates the cost of developing a graphical user interface provided a better estimate, as did a tally reflecting the complexity and quality of media material in the project.

Dietary fats and diabetes mellitus: is there a good fat?

As knowledge of the fatty acid functions has increased, so has the complexity of making dietary fat recommendations to people with type 2 diabetes. Oleic acid seems to offer a slight advantage over linoleic acid in reducing plasma glucose, insulin levels, total cholesterol, low-density lipoproteins (LDLs), and triglycerides, but may also have atherogenic properties through another mechanism. A diet containing a higher proportion of polyunsaturated fatty acids (PUFAs) may require a concomitant increase in antioxidant intake because PUFAs oxidize easily and are then converted to oxidized LDL, which is more atherogenic. In addition to raising total and LDL cholesterol, long chain saturated free fatty acids may interact with plasma glucose to increase insulin secretion. Omega-3 fatty acids decrease triglycerides and reduce the risk of fatal cardiac arrhythmias. Glycemic control does not appear to be adversely affected by omega-3 fatty acids at amounts of up to 3 g/d.

The cardiovascular effects of fish oils and omega-3 fatty acids.

Evidence first reported 20 years ago from the Greenland Inuit population suggested that fatty fish and fish oils contained substances that reduced the incidence of ischemic heart disease. These substances, later determined to be omega-3 fatty acids, were found in early clinical trials to reduce platelet aggregation and to reduce hypertriglyceridemia by as much as 35%. More recent trials have found that omega-3 fatty acids also appear to reduce the risk of cardiac arrhythmia and sudden cardiac death and modestly reduce atherosclerotic plaque formation and hypertension. Clinical trials have not demonstrated adverse effects at moderate daily doses. These findings have implications for clinicians who may want to suggest that patients increase their intake of fatty fish or supplement their diet with more concentrated sources of omega-3 fatty acids.