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1.
Health Promot Pract ; 20(3): 381-389, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-29618233

RESUMO

BACKGROUND: Wearable physical activity (PA) trackers are becoming increasingly popular for intervention and assessment in health promotion research and practice. The purpose of this article is to present lessons learned from four studies that used commercial PA tracking devices for PA intervention or assessment, present issues encountered with their use, and provide guidelines for determining which tools to use. METHOD: Four case studies are presented that used PA tracking devices (iBitz, Zamzee, FitBit Flex and Zip, Omron Digital Pedometer, Sensewear Armband, and MisFit Flash) in the field-two used the tools for intervention and two used the tools as assessment methods. RESULTS: The four studies presented had varying levels of success with using PA devices and experienced several issues that impacted their studies, such as companies that went out of business, missing data, and lost devices. Percentage ranges for devices that were lost were 0% to 29% and was 0% to 87% for those devices that malfunctioned or lost data. CONCLUSIONS: There is a need for low-cost, easy-to-use, accurate PA tracking devices to use as both intervention and assessment tools in health promotion research related to PA.


Assuntos
Actigrafia/instrumentação , Atitude Frente a Saúde , Exercício Físico/fisiologia , Monitores de Aptidão Física/estatística & dados numéricos , Coleta de Dados , Desenho de Equipamento , Feminino , Promoção da Saúde/métodos , Humanos , Masculino
2.
Nutr Health ; 25(1): 9-19, 2019 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-30229691

RESUMO

BACKGROUND:: Chronic inflammation is associated with numerous chronic diseases and can be managed with diet. AIM:: The purpose of this study was to examine differences in baseline characteristics and plasma inflammation levels between two groups of participants that participated in an intensive, lifestyle intervention or a remotely delivered intervention. This work also assessed the association between Dietary Inflammatory Index (DII)® scores and participants' inflammatory and metabolic biomarkers at baseline. METHOD:: Ninety-five participants (61 intervention, 34 control) chose to enroll in either a 12-month intervention consisting of a face-to-face nutrition, physical activity, and stress management intervention or a remotely-delivered intervention (control group) focusing on general cancer prevention. The intervention group met at the University of South Carolina for classes and the control group had materials emailed to them. A quantile regression was used to compare participants' high-sensitivity C-reactive protein and interleukin-6 levels. Multiple linear regression was used to determine the association between DII scores and biomarkers. RESULTS:: There were significant differences in age, body mass index, body fat percentage, and blood pressure between groups, but there were no differences in levels of inflammatory biomarkers. Values of interleukin-6 at the 90th percentile of its distribution were 8.31 pg/ml higher among those in DII quartile 4 compared with quartile 1 ( p = 0.02). All other outcomes were not significant. CONCLUSION:: Given similar levels of inflammatory biomarkers, participants opting for the control group would also have benefited from a more intensive lifestyle intervention focusing on reducing inflammation.


Assuntos
Atitude , Comportamento de Escolha , Dieta , Comportamentos Relacionados com a Saúde , Promoção da Saúde/métodos , Inflamação/terapia , Estilo de Vida , Tecido Adiposo , Adulto , Biomarcadores/sangue , Glicemia/metabolismo , Pressão Sanguínea , Índice de Massa Corporal , Proteína C-Reativa/metabolismo , Estudos Transversais , Correio Eletrônico , Exercício Físico , Feminino , Humanos , Inflamação/sangue , Interleucina-6/sangue , Lipídeos/sangue , Masculino , Pessoa de Meia-Idade , Sujeitos da Pesquisa/psicologia , Estresse Psicológico
3.
J Geriatr Cardiol ; 14(5): 369-374, 2017 May.
Artigo em Inglês | MEDLINE | ID: mdl-28630616

RESUMO

The goal of this paper is to review the evidence related to the effect of plant-based dietary patterns on obesity and weight loss, including both observational and intervention trials. Literature from plant-based diets (PBDs) epidemiological and clinical trial research was used to inform this review. In addition, data on dietary quality, adherence, and acceptability were evaluated and are presented. Both clinical trials and observational research indicate an advantage to adoption of PBDs for preventing overweight and obesity and promoting weight loss. PBDs may also confer higher levels of diet quality than are observed with other therapeutic diet approaches, with similar levels of adherence and acceptability. Future studies should utilize health behavior theory to inform intervention development and delivery of PBDs studies and new technologies to bring interventions to scale for greater public health impact. Research examining PBDs and weight loss is also needed with more diverse populations, including older adults. Based on the available evidence, PBDs should be considered a viable option for the treatment and prevention of overweight and obesity.

4.
Transl Behav Med ; 7(2): 224-232, 2017 06.
Artigo em Inglês | MEDLINE | ID: mdl-27812798

RESUMO

Both mobile apps and responsive-design websites (web apps) can be used to deliver mobile health (mHealth) interventions, but it can be difficult to discern which to use in research. The goal of this paper is to present four case studies from behavioral interventions that developed either a mobile app or a web app for research and present an information table to help researchers determine which mobile option would work best for them. Four behavioral intervention case studies (two developed a mobile app, and two developed a web app) presented include time, cost, and expertise. Considerations for adopting a mobile app or a web app-such as time, cost, access to programmers, data collection, security needs, and intervention components- are presented. Future studies will likely integrate both mobile app and web app modalities. The considerations presented here can help guide researchers on which platforms to choose prior to starting an mHealth intervention.


Assuntos
Promoção da Saúde/métodos , Internet , Aplicativos Móveis , Telemedicina/métodos , Criança , Comportamento de Escolha , Segurança Computacional , Coleta de Dados , Dieta Saudável , Exercício Físico , Humanos , Inflamação/prevenção & controle , Internet/economia , Aplicativos Móveis/economia , Sobrepeso/prevenção & controle , Sobrepeso/terapia , Pais , Projetos Piloto , Estresse Psicológico/prevenção & controle , Telemedicina/economia , Fatores de Tempo
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