Meghan Mattos

The Use of mHealth to Deliver Tailored Messages Reduces Reported Energy and Fat Intake

Background:Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake. Objective:The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake. Methods:This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m2) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline. Results:Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (−22.8% vs −14.0%; P = .02) and saturated fat (−11.3% vs −0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (−10.4% vs −4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05). Conclusion:Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.

Socio-demographic, anthropometric, and psychosocial predictors of attrition across behavioral weight-loss trials.

Preventing attrition is a major concern in behavioral weight loss intervention studies. The purpose of this analysis was to identify baseline and six-month predictors associated with participant attrition across three independent clinical trials of behavioral weight loss interventions (PREFER, SELF, and SMART) that were conducted over 10 years. Baseline measures included body mass index, Barriers to Healthy Eating, Beck Depression Inventory-II (BDI), Hunger Satiety Scale (HSS), Binge Eating Scale (BES), Medical Outcome Study Short Form (MOS SF-36 v2) and Weight Efficacy Lifestyle Questionnaire (WEL). We also examined early weight loss and attendance at group sessions during the first 6 months. Attrition was recorded at the end of the trials. Participants included 504 overweight and obese adults seeking weight loss treatment. The sample was 84.92% female and 73.61% white, with a mean (± SD) age of 47.35 ± 9.75 years. After controlling for the specific trial, for every one unit increase in BMI, the odds of attrition increased by 11%. For every year increase in education, the odds of attrition decreased by 10%. Additional predictors of attrition included previous attempts to lose 50-79 lbs, age, not possessing health insurance, and BES, BDI, and HSS scores. At 6 months, the odds of attrition increased by 10% with reduced group session attendance. There was also an interaction between percent weight change and trial (p<.001). Multivariate analysis of the three trials showed education, age, BMI, and BES scores were independently associated with attrition (ps ≤ .01). These findings may inform the development of more robust strategies for reducing attrition.

Differences in Benzodiazepine Receptor Agonist Use in Rural and Urban Older Adults.

BackgroundOlder adults are especially susceptible to adverse consequences of potentially inappropriate medications (PIMs), such as benzodiazepine receptor agonists (BZDRAs), due to age-related pharmacokinetic and pharmacodynamic changes. Although some risk factors for BZDRA use in older adults have been identified, the role of rural versus urban residence is less clear.ObjectiveTo describe BZDRA use in rural versus urban older adults using pharmaceutical claims from Pennsylvania’s Pharmaceutical Assistance Contract for the Elderly (PACE) program.MethodsThe sample consisted of older adults enrolled in Pennsylvania’s Healthy Steps for Older Adults and participated in Pennsylvania’s PACE program. Independent sample t tests and contingency tables were used to examine residence differences. Multivariate binary logistic modeling was performed.ResultsThe total sample (N = 426) was 305 (71.6 %) urban-dwelling adults and 121 (28.4 %) rural-dwelling adults. Rural participants were more likely to be male, white, married, and have less than a high school education compared with urban participants (p <.01). Specifically, 25 % of rural-dwelling adults received a BZDRA compared with 15 % of urban-dwelling adults (p = 0.02). Three variables reached statistical significance for predicting BZDRA use in a multivariate model: rural residence (OR 2.58, 95 % CI 1.39–4.79), history of anxiety/depression (OR 4.20, 95 % CI 2.39–7.46), and number of medications (OR 1.11, 95 % CI 1.02–1.21).ConclusionsBZDRA prescription differences in older, rural-dwelling adults further highlights the need for geriatric and mental health specialists to provide specialized care to this population. Rural healthcare professionals may be less aware of PIMs for older adults, and initiatives to support geriatric services and provide education for existing providers may be beneficial.

Older Rural‐ and Urban‐Dwelling Appalachian Adults With Mild Cognitive Impairment

PURPOSE Mild cognitive impairment (MCI) is a well-recognized risk state for Alzheimers disease and other dementias. MCI is rapidly increasing among older adults in general and has not yet been examined in older adults within the Appalachian region. Our objective was to compare MCI symptom severity among older rural and urban Appalachian adults with MCI at an initial neuropsychological testing visit. METHODS A cross-sectional, descriptive study of older Appalachian adults with MCI was conducted using data from the National Alzheimers Coordinating Center Uniform Data Set. Symptom severity was conceptualized as neuropsychological composite scores across 4 cognitive domains and Clinical Dementia Rating-Sum of Boxes (CDR-SOB) score. For group comparisons, MANCOVA was used for cognitive domains and ANCOVA for CDR-SOB. RESULTS The sample (N = 289) was about half male (54.3%), predominantly white (91.7%), and living with others (83.5%), with a mean (±SD) 74.6 ± 6.2 years of age and 15.4 ± 3.0 years of education. Rural and urban groups differed significantly in years since onset of cognitive symptoms (2.98 ± 1.91 in rural and 3.89 ± 2.70 in urban adults, t[260] = -2.23, P = .03), but they did not differ across sociodemographic features or comorbid conditions. Rural and urban participants were similar across the 4 cognitive domains and CDR-SOB (P ≥ .05). DISCUSSION No differences were found between rural and urban Appalachian residents on MCI symptom severity. However, urban residents reported a longer time lapse from symptom identification to diagnosis than their rural counterparts. Future studies using more representative population samples of Appalachian and non-Appalachian adults will provide an important next step to identifying disparate cognitive health outcomes in this traditionally underserved region.

Experiences Surrounding an Early-Stage Cognitive Diagnosis in Rural-Dwelling Older Adults

Misdiagnosis, lack of specialists, and patient dismissal of symptoms can contribute to delayed detection of early cognitive impairment. Understanding patient perspectives during and around time of cognitive diagnosis is crucial, as reactions to diagnosis can impact disease management and overall health. The current study conducted semi-structured interviews to explore the experiences of rural-dwelling older adults (n = 9) and their caregivers (n = 10) surrounding diagnosis of mild cognitive impairment or early-stage Alzheimers disease at a specialty research center (SRC). Content analysis was performed. Overall, researchers found that older adult participants experienced various cognitive symptoms pre-diagnosis and dyads experienced diagnostic uncertainty prior to the SRC visit. All individuals displayed a range of reactive and information-seeking actions. Nurses play significant roles in the diagnostic and post-diagnostic periods for patients with early-stage cognitive impairment, and clinical diagnostic expertise, appropriate and timely direction of resources, and identification and targeting of early interventions to promote cognitive health are particularly important to this underserved population. [Res Gerontol Nurs. 2018; 11(4):181-189.].

Amyloid positron emission tomography candidates may focus more on benefits than risks of results disclosure

Given mounting calls to disclose biomarker test results to research participants, we explored factors underlying decisions by patients with mild cognitive impairment to receive amyloid imaging results.

Perceived social determinants of health among older, rural-dwelling adults with early-stage cognitive impairment:

Limited access to resources and delayed detection of subtle cognitive changes may negatively impact the long-term cognitive health of rural-dwelling adults. This study explored perceived social determinants of health among older, rural-dwelling adults with early-stage cognitive impairment. Semi-structured interviews were conducted with older, rural-dwelling adults with early-stage cognitive impairment and their care partners. Thematic content analysis was performed. Participants (n = 9) were 73.7 ± 6.0 years of age with 14.2 ± 3.1 years of education; care partners (n = 10) were 70.9 ± 7.4 years of age with 15.6 ± 2.3 years of education. Data analysis revealed six themes: Staying active, Eating well, Living with cognitive changes, Living rural, Connecting with neighbors and community, and Relying on children. Dyads’ depictions of perceived social determinants of health focused on the adoption of a healthy lifestyle, description of relationships, and advantages of living in a rural area. Emergent themes may be used to promote adoption of self-management and prevention behaviors, particularly lifestyle changes.