Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement and ...how it enhances efficacy has been somewhat unclear in the literature. Recently published detailed definitions and conceptual models of engagement have helped to build consensus around a definition of engagement and improve our understanding of how engagement may influence effectiveness. This work has helped to establish a clearer research agenda. However, to test the hypotheses generated by the conceptual modules, we need to know how to measure engagement in a valid and reliable way. The aim of this viewpoint is to provide an overview of engagement measurement options that can be employed in eHealth and mHealth behavior change intervention evaluations, discuss methodological considerations, and provide direction for future research. To identify measures, we used snowball sampling, starting from systematic reviews of engagement research as well as those utilized in studies known to the authors. A wide range of methods to measure engagement were identified, including qualitative measures, self-report questionnaires, ecological momentary assessments, system usage data, sensor data, social media data, and psychophysiological measures. Each measurement method is appraised and examples are provided to illustrate possible use in eHealth and mHealth behavior change research. Recommendations for future research are provided, based on the limitations of current methods and the heavy reliance on system usage data as the sole assessment of engagement. The validation and adoption of a wider range of engagement measurements and their thoughtful application to the study of engagement are encouraged.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Abstract Because physical inactivity and unhealthy diets are highly prevalent, there is a need for cost-effective interventions that can reach large populations. Electronic health (eHealth) and ...mobile health (mHealth) solutions have shown promising outcomes and have expanded rapidly in the past decade. The purpose of this report is to provide an overview of the state of the evidence for the use of eHealth and mHealth in improving physical activity and nutrition behaviors in general and special populations. The role of theory in eHealth and mHealth interventions is addressed, as are methodological issues. Key recommendations for future research in the field of eHealth and mHealth are provided.
Abstract Purpose Many dietary factors have either proinflammatory or anti-inflammatory properties. We previously developed a dietary inflammatory index (DII) to assess the inflammatory potential of ...diet. In this study, we conducted a construct validation of the DII based on data from a food frequency questionnaire and three inflammatory biomarkers in a subsample of 2567 postmenopausal women in the Women's Health Initiative Observational Study. Methods We used multiple linear and logistic regression models, controlling for potential confounders, to test whether baseline DII predicted concentrations of interleukin-6, high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor alpha receptor 2, or an overall biomarker score combining all three inflammatory biomarkers. Results The DII was associated with the four biomarkers with beta estimates (95% confidence interval) comparing the highest with lowest DII quintiles as follows: interleukin-6: 1.26 (1.15–1.38), Ptrend < .0001; tumor necrosis factor alpha receptor 2: 81.43 (19.15–143.71), Ptrend = .004; dichotomized hs-CRP (odds ratio for higher vs. lower hs-CRP): 1.30 (0.97–1.67), Ptrend = .34; and the combined inflammatory biomarker score: 0.26 (0.12–0.40), Ptrend = .0001. Conclusions The DII was significantly associated with inflammatory biomarkers. Construct validity of the DII indicates its utility for assessing the inflammatory potential of diet and for expanding its use to include associations with common chronic diseases in future studies.
Abstract Mobile health (mHealth) is an emerging field devoted to the use of mobile and wireless devices to affect health outcomes, health care services, and health research. Despite great promise, ...little research has examined its effectiveness. It is the authors' view that the full potential of mHealth has yet to be realized in research and practice. This Perspective article explores when and for whom mHealth approaches are effective, strengths and limitations of commercially and academically generated apps, research design considerations, and public–private partnerships. These topics have implications for researchers and practitioners who wish to advance the science and practice of mHealth.
Abstract Objective Interventions that aim to improve child dietary quality and reduce disease risk often involve parents. The most effective methods to engage parents remain unclear. A systematic ...review of interventions designed to change child and adolescent dietary behavior was conducted to answer whether parent involvement enhanced intervention effectiveness, and what type of involvement was most effective in achieving desired outcomes. Method In 2008, Pub Med, Medline, Psych Info, and Cochrane Library databases were searched to identify programs designed to change child and adolescent dietary intake that also involved parents. Methods of parental involvement were categorized based on the type and intensity of parental involvement. These methods were compared against intervention design, dietary outcomes, and quality of reporting (evaluated using CONSORT checklist) for each study. Results The literature search identified 1774 articles and 24 met review criteria. Four studies systematically evaluated parent involvement with inconsistent results. Indirect methods to engage parents were most commonly used, although direct approaches were more likely to result in positive outcomes. Four studies met > 70% of CONSORT items. Conclusion Limited conclusions may be drawn regarding the best method to involve parents in changing child diet to promote health. However, direct methods show promise and warrant further research.
The COVID-19 pandemic has triggered a public health crisis across the globe. In a matter of weeks, the policies, systems, and environments shaping everyday life were transformed to accommodate social ...distancing, work and school from home, and business closures. These changes have been difficult but achievable for socioeconomically advantaged individuals but have only exacerbated long-standing disparities among low-income persons, the unemployed and underemployed, and people of color.These disparities are especially pronounced across the US food system. Before COVID-19, 11.1% of Americans lacked consistent access to adequate food for an active, healthy life. In the midst of a pandemic characterized by decimated incomes, panic buying and food hoarding, disrupted supply chains, and a sharply reduced workforce, early data suggest that more than 38% of Americans are now at risk for food insecurity.1 Inherent in this risk is a troublesome cascade, wherein food insecurity leads to poorer health outcomes, including noncommunicable disease, which is a risk factor for the most severe COVID-19 symptoms.
Parents substantially influence children's diet and physical activity behaviors, which consequently impact childhood obesity risk. Given this influence of parents, the objective of this umbrella ...review was to synthesize evidence on effects of parent involvement in diet and physical activity treatment and prevention interventions on obesity risk among children aged 3-12 years old. Ovid/MEDLINE, Elsevier/Embase, Wiley/Cochrane Library, Clarivate/Web of Science, EBSCO/CINAHL, EBSCO/PsycInfo, and Epistemonikos.org were searched from their inception through January 2020. Abstract screening, full-text review, quality assessment, and data extraction were conducted independently by at least two authors. Systematic reviews and meta-analyses of diet and physical activity interventions that described parent involvement, included a comparator/control, and measured child weight/weight status as a primary outcome among children aged 3-12 years old were included. Data were extracted at the level of the systematic review/meta-analysis, and findings were narratively synthesized. Of 4158 references identified, 14 systematic reviews and/or meta-analyses (eight treatment focused and six prevention focused) were included and ranged in quality from very low to very high. Our findings support the inclusion of a parent component in both treatment and prevention interventions to improve child weight/weight status outcomes. Of note, all prevention-focused reviews included a school-based component. Evidence to define optimal parent involvement type and duration and to define the best methods of involving parents across multiple environments (e.g., home, preschool, school) was inadequate and warrants further research. PROSPERO registration: CRD42018095360.
Optimism and Diet Quality in the Women's Health Initiative Hingle, Melanie D., PhD, MPH, RD; Wertheim, Betsy C., MS; Tindle, Hilary A., MD, MPH ...
Journal of the Academy of Nutrition and Dietetics,
07/2014, Letnik:
114, Številka:
7
Journal Article
Recenzirano
Odprti dostop
Abstract Diet quality has not been well studied in relation to positive psychological traits. Our purpose was to investigate the relationship between optimism and diet quality in postmenopausal women ...enrolled in the Women's Health Initiative observational study (OS) and clinical trials (CTs), and to determine whether optimism was associated with diet change after a 1-year dietary intervention. Diet quality was scored with the Alternate Healthy Eating Index (AHEI) and optimism assessed with the Life Orientation Test-Revised. Baseline characteristics were compared across AHEI quintiles or optimism tertiles using regression models with each variable of interest as a function of quintiles or tertiles (OS, n=87,630; CT, n=65,360). Association between optimism and baseline AHEI and change in AHEI over 1 year were tested using multivariate linear regression (CT, n=13,645). Potential interaction between optimism and trial arm and demographic/lifestyle factors on AHEI change was tested using likelihood ratio test (CT intervention, n=13,645; CT control, n=20,242). Women reporting high AHEI were non-Hispanic white, educated, physically active, past or never smokers, hormone therapy users, had lower body mass index and waist circumference, and were less likely to have chronic conditions. In the CT intervention, higher optimism was associated with higher AHEI at baseline and with greater change over 1 year ( P =0.001). Effect modification by intervention status was observed ( P =0.014), whereas control participants with highest optimism achieved threefold greater AHEI increase compared with those with the lowest optimism. These data support a relationship between optimism and dietary quality score in postmenopausal women at baseline and over 1 year.
To assess the feasibility of a food-based diabetes self-management education and support (DSMES) intervention delivered to persons with type 2 diabetes (T2DM) and food insecurity.
This single arm ...pre-/post convergent mixed methods study tested the feasibility of a 3-month intervention using food boxes, recipes, DSMES and dietitian visits. Feasibility benchmarks assessed were acceptability (> 50 % participants satisfied), demand (> 50 % used program components) and implementation (75 % adherence, 80 % retention). Assessments included: self-reported food security, health-related quality of life, diabetes self-efficacy, socio-demographic and dietary intake, height, weight, and HbA1c and one in-depth interview with participants and key staff. Enrollment, recruitment and retention rates were summarised; qualitative data were analysed using structured thematic analysis (participant interviews) and key point summaries (staff interviews). Quantitative/qualitative data integration was conducted using a joint display.
Food bank and Federally Qualified Health Center in the Southwestern U.S.
English- or Spanish-speaking adults with T2DM and food insecurity.
In total, 247 patients with T2DM and food insecurity were recruited, seventy-one expressed interest and twenty-five consented. Twenty-one participants completed study measurements. 71 % (
15) received six home food deliveries and ≥ 1 dietitian visit.
benchmarks were approached or met within each feasibility criterion - most participants found the intervention to be acceptable, used most or all intervention components, and reported some challenges within intervention implementation (e.g. timing of food deliveries). Data integration provided deeper understanding of reported intervention implementation challenges, yet high adherence to the intervention.
The intervention was feasible. Next steps include a clinical trial to establish intervention efficacy.
A decade after the first health app became available, the field of digital health has produced a range of health behavior insights and an expanding product portfolio. Despite sustained interest and ...growth fueled by academic and industry interests, the impact of digital health on health behavior change and related outcomes has been limited. This underperformance relative to expectations may be partially attributed to a gap between industry and academia in which both seek to develop technology-driven solutions but fail to converge around respective, unique strengths. An opportunity exists for new and improved collaborative models of research, innovation, and care delivery that disrupt the field of behavioral medicine and benefit academic and industry interests. For those partnerships to thrive, recognizing key differences between academic and industry roles may help smooth the path. Here we speak specifically to concerns particular to academics and offer suggestions for how to navigate related challenges.
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