scholarly journals Reduction in Chronic Disease Risk and Burden in a 70-Individual Cohort Through Modification of Health Behaviors

Cureus ◽  
2020 ◽  
Author(s):  
Thomas J Lewis ◽  
Jason H Huang ◽  
Clement L Trempe
Keyword(s):  
Chronic Disease ◽  
Health Behaviors ◽  
Disease Risk ◽  
Chronic Disease Risk

Predicting Hawaiian Youth’s Physical Activity and Fruit and Vegetable Consumption Behaviors: A 10-Year Cohort Study

2019 ◽  
Vol 16 (8) ◽  
pp. 644-646
Author(s):  
Sasha A. Fleary ◽  
Robin Mehl ◽  
Claudio Nigg
Keyword(s):  
Physical Activity ◽  
Chronic Disease ◽  
Health Behaviors ◽  
Disease Risk ◽  
Vegetable Consumption ◽  
Fruit And Vegetable Consumption ◽  
Fruit And Vegetable ◽  
Chronic Disease Risk ◽  
Childhood Physical Activity

Background: Health behaviors in childhood and adolescence are implicated in health behaviors and chronic disease risk in adulthood for the majority of the US population. However, little is known about these relationships in Hawaiian youth. This study investigated the extent to which childhood physical activity (PA) and fruit and vegetable consumption behaviors predicted later behaviors across a 10-year period in Hawaiian youth. Methods: Three cohorts of fourth- to sixth-grade students who participated in an elementary after-school program (Fun 5) provided baseline data (Y1—data collected between 2003 and 2007), 5-year (Y5—data collected between 2008 and 2012), and 10-year (Y10—data collected between 2013 and 2017) follow-up surveys. Demographic, PA, and fruit and vegetable consumption measures were completed at all 3 time points. Bivariate and multiple regressions were computed in 2018. Results: Y1 and Y5 behavior predicted PA in young adulthood. For fruit and vegetable consumption, Y1 behavior predicted Y5 behavior but not Y10 behavior, and Y5 behavior predicted Y10 behaviors. Conclusions: Similar to mainland US youth, it is important to address PA and nutrition early in the life span for Hawaiian youth to increase long-term preventive health behaviors and reduce long-term chronic disease risk.

scholarly journals Adverse Childhood Experiences Negatively Impact Health Behaviors and Chronic Disease Risk Among Adults Residing in Delaware

2016 ◽  
Vol 2 (5) ◽  
pp. 68-69
Author(s):  
Caprice A. Torrance ◽  
Kimberly Williams ◽  
Elizabeth Brown ◽  
Kirsten Olson ◽  
Andrea Miller ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Health Behaviors ◽  
Adverse Childhood Experiences ◽  
Disease Risk ◽  
Childhood Experiences ◽  
Chronic Disease Risk ◽  
Adverse Childhood

Physician Advice to Reduce Chronic Disease Risk Factors

1994 ◽  
Vol 10 (6) ◽  
pp. 367-371 ◽  
Author(s):  
Carol Friedman ◽  
Ross C. Brownson ◽  
Dan E. Peterson ◽  
Joan C. Wilkerson
Keyword(s):  
Risk Factors ◽  
Chronic Disease ◽  
Disease Risk ◽  
Chronic Disease Risk ◽  
Physician Advice

Ultra-processed foods increase noncommunicable chronic disease risk

2021 ◽  
Author(s):  
Mariana Zogbi Jardim ◽  
Bruna Vieira de Lima Costa ◽  
Milene Cristine Pessoa ◽  
Camila Kümmel Duarte
Keyword(s):  
Chronic Disease ◽  
Disease Risk ◽  
Processed Foods ◽  
Chronic Disease Risk

scholarly journals Information Visualization for Chronic Disease Risk Assessment

2012 ◽  
Vol 27 (6) ◽  
pp. 81-85 ◽  
Author(s):  
Christopher A. Harle ◽  
Daniel B. Neill ◽  
Rema Padman
Keyword(s):  
Risk Assessment ◽  
Chronic Disease ◽  
Information Visualization ◽  
Disease Risk ◽  
Chronic Disease Risk

Technology-Delivered Adaptations of Motivational Interviewing (TAMI) Interventions for the Prevention and Management of Chronic Disease: Narrative Review (Preprint)

2021 ◽  
Author(s):  
Havisha Pedamallu ◽  
Matthew J. Ehrhardt ◽  
Julia Maki ◽  
April Idalski Carcone ◽  
Melissa M. Hudson ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Health Behaviors ◽  
Health Outcomes ◽  
Motivational Interviewing ◽  
Text Messaging ◽  
Disease Risk ◽  
Behavioral Outcomes ◽  
Narrative Review ◽  
Population Characteristics ◽  
Web Based

BACKGROUND Motivational interviewing is an effective strategy to mitigate chronic disease risk through promotion of health behavior changes. However, multiple barriers impede its delivery to and uptake by patients. mHealth-based versions of motivational interviewing interventions, or technology-delivered adaptations of motivational interviewing (TAMIs), might increase reach, but their effectiveness is less well-understood. OBJECTIVE The purpose of this narrative review was to characterize the extent to which TAMIs: (1) affect behavioral outcomes, (2) have included individuals from populations that have been marginalized, and (3) have addressed socio-contextual influences on health. METHODS We identified studies indexed in PubMed that described interventions incorporating motivational interviewing techniques into a mobile or electronic health platform. Data were abstracted from eligible studies, including target population characteristics, study design and eligibility criteria, theoretical/conceptual models utilized, mHealth tool details, and effects on behavioral outcomes. RESULTS Thirty-three studies reported the use of TAMIs. Sample sizes ranged from 10 to 2,069 participants ages 13 to 70 years. Most studies (n=24) directed interventions towards individuals engaging in behaviors that increased the risk of chronic disease. Most studies oversampled (n=18) individuals from marginalized socio-demographic groups, but few were designed specifically with marginalized groups in mind (n=3). TAMIs utilized text messaging (n=7), web-based (n=19), app + text messaging (n=1), and web-based + text messaging (n=3) delivery platforms. Twenty-seven (90%) included randomized controlled trials reporting behavioral and health-related outcomes, 21 of which reported statistically significant improvements in targeted behaviors with the use of TAMIs. TAMIs improved targeted health behaviors in the remaining 3 studies. Nine of 30 (30%) assessed TAMI feasibility, acceptability, and/or satisfaction, all of which rated TAMIs highly in this regard. Among 18 studies comprised of a disproportionately high number of racial or ethnic minorities, 15 (83%) reported increased engagement in health behaviors and/or better health outcomes. CONCLUSIONS TAMIs can improve health promotion and disease management behaviors for people from a variety of socio-demographic backgrounds. Future studies are needed to determine the contribution of TAMIs on individual health outcomes, and to determine best practices for implementing TAMIs into clinical practice.

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