Image-Based Dietary Assessment and Tailored Feedback Using Mobile Technology: Mediating Behavior Change in Young Adults

Assessing the implementation of nutrition interventions is important to identify characteristics and dietary patterns of individuals who benefit most. The aim was to report on young adults' experiences of receiving dietary feedback text messaging intervention. Diet was captured using an image-based 4-day mobile food recordTM application (mFRTM) and assessed to formulate two tailored feedback text messages on fruit and vegetables and energy-dense nutrient-poor (EDNP) foods and beverages. At 6-months 143 participants completed a second mFRTM and a questionnaire evaluating the dietary feedback. Participants who agreed the text messages made them think about how much vegetables they ate were more likely to increase their intake by at least half a serve than those who disagreed [odds ratio (OR) = 4.28, 95% Confidence Interval (CI): 1.76 to 10.39]. Those who agreed the text messages made them think about how much EDNP foods they ate, were twice as likely to decrease their intake by over half a serve (OR = 2.39, 95%CI: 1.12 to 5.25) than those who disagreed. Undertaking detailed dietary assessment ensured the tailored feedback was constructive and relevant. Personal contemplation about vegetable and EDNP food intake appears to be a mediator of dietary change in young adults.

Computer Informed and Flexible Family-Based Treatment for Adolescents: A Randomized Clinical Trial for at-Risk Racial/Ethnic Minority Adolescents

Family interventions have been shown to be effective for adolescents with behavior problems. Current literature supports both adaptive treatments and technology-assisted interventions as highly promising innovations for treating at-risk adolescents. The purpose of this investigation was to develop and test the efficacy of a computer-assisted version of an established office-based multicomponent family therapy. Eighty Hispanic and Black Non-Hispanic adolescents and their families participated in the study and were randomized to either Immediate Computer-Assisted CIFFTA or Delayed Computer-Assisted CIFFTA. Significant between-groups effects were found from baseline to posttreatment showing the superiority of the Immediate CA CIFFTA condition on both the Conduct Disorder (B = -5.17, SE = 1.73, p < .01, CI [-8.55, -1.79]) and Socialized Aggression (B = -2.04, SE = .83, p < .05, CI [-3.67, -.41]) subscales of the Revised Behavior Problem Checklist, on the Youth Self Report Externalizing scale (B = -4.22, SE = 1.40, p < .01, CI [-6.95, -1.48]), and on both the parent (B = 1.34, SE = .50, p < .01, CI [.36, 2.32]) and adolescent (B = 1.31, SE = .46, p < .01, CI [.41, 2.21]) reports of the Family Environment Scale’s family cohesion subscale. Baseline to 6-weeks posttreatment (T1-T3) analyses showed that these significant within-subjects effects were sustained for the treatment group. Results highlight that adolescent behavior problems can be significantly impacted by a computer-assisted intervention that replaces psychoeducational face-to-face meetings with computer-delivered modules.

Effects of an abbreviated obesity intervention supported by mobile technology: The ENGAGED randomized clinical trial

OBJECTIVE

To determine the effects on weight loss of three abbreviated behavioral weight loss interventions with and without coaching and mobile technology.

METHODS

A randomized controlled efficacy study of three 6-month weight loss treatments was conducted in 96 adults with obesity: 1) self-guided (SELF), 2) standard (STND), or 3) technology-supported (TECH). STND and TECH received eight in-person group treatment sessions. SELF and STND used paper diaries to self-monitor diet, activity, and weight; TECH used a smartphone application with social networking features and wireless accelerometer.

RESULTS

Weight loss was greater for TECH and STND than SELF at 6 months (-5.7 kg [95% confidence interval: -7.2 to -4.1] vs. -2.7 kg [95% confidence interval: -5.1 to -0.3], P < 0.05) but not 12 months. TECH and STND did not differ except that more STND (59%) than TECH (34%) achieved ≥ 5% weight loss at 6 months (P < 0.05). Self-monitoring adherence was greater in TECH than STND (P < 0.001), greater in both interventions than SELF (P < 0.001), and covaried with weight loss (r(84) = 0.36-0.51, P < 0.001).

CONCLUSIONS

Abbreviated behavioral counseling can produce clinically meaningful weight loss regardless of whether self-monitoring is performed on paper or smartphone, but long-term superiority over standard of care self-guided treatment is challenging to maintain.

Get+Connected: Development and Pilot Testing of an Intervention to Improve Computer and Internet Attitudes and Internet Use Among Women Living With HIV

BACKGROUND

For persons living with chronic medical conditions, the Internet can be a powerful tool for health promotion, and allow for immediate access to medical information and social support. However, women living with human immunodeficiency virus (HIV) in the United States face numerous barriers to computer and Internet use. Health behavior change models suggest that the first step towards adopting a new health behavior is to improve attitudes towards that behavior.

OBJECTIVE

To develop and pilot test Get+Connected, an intervention to improve computer and Internet attitudes and Internet use among women living with HIV.

METHODS

To develop Get+Connected, we reviewed the extant literature, adapted an existing curriculum, and conducted a focus group with HIV-positive women (n=20) at a community-based organization in the Bronx, New York. Get+Connected was comprised of five weekly sessions covering the following topics: basic computer knowledge and skills, identifying reliable health-related websites, setting up and using email and Facebook accounts, and a final review session. We recruited 12 women to participate in pilot testing. At baseline, we collected data about participants' sociodemographic information, clinical characteristics, and technology device ownership and use. At baseline, intervention completion, and three months postintervention, we collected data regarding attitudes towards computers and the Internet (Attitudes Towards Computers and the Internet Questionnaire [ATCIQ]; possible scores range from 5-50) as well as frequency of Internet use (composite measure). To examine changes in ATCIQ scores and Internet use over time, we used generalized estimating equations. We also collected qualitative data during intervention delivery.

RESULTS

Among women in our sample, the median age was 56 years (interquartile range=52-63). All participants were black/African American and/or Latina. Seven participants (7/12, 58%) had a high school diploma (or equivalent) or higher degree. Ten participants (10/12, 83%) reported owning a mobile phone, while only one (1/12, 8%) reported owning a computer or tablet. Only one participant (1/12, 8%) reported having ever used the Internet or email. Internet nonusers cited lack of computer/Internet knowledge (6/11, 54%) and lack of access to a computer or similar device (4/11, 36%) as the main barriers to use. Over time, we observed an improvement in attitudes towards computers and the Internet (ATCIQ scores: 33.5 at baseline, 35 at intervention completion, and 36 at three months postintervention; P=.008). No significant increase in Internet use was observed (P=.61). Qualitative findings indicated excitement and enthusiasm for the intervention.

CONCLUSIONS

In our sample of urban, technology-inexperienced HIV-positive women, participation in Get+Connected was associated with an improvement in attitudes towards computers and the Internet, but not Internet use. Changing attitudes is the first step in many health behavior change models, indicating that with improved access to computer and Internet resources, frequency of Internet use may also have increased. Future studies should consider addressing issues of access to technology in conjunction with Get+Connected.

Efficacy of technology-based interventions for obesity prevention in adolescents: a systematic review

About one third of adolescents in the USA are overweight and/or obese. Obesity during the adolescent years is associated with many adverse health consequences, including type 2 diabetes, hypertension, hyperlipidemia, and psychosocial problems. Because of substantial advances in technologies and wide acceptance by adolescents, it is now possible to use technology for healthy weight management and prevention of obesity. This systematic review used Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and aimed to evaluate the existing literature reported on the effectiveness of technology-based intervention (web-based, e-learning, and active video games) in preventing obesity in adolescents. The primary aim of this review was to explore if components of specific interventions were associated with a reduction in body mass index. Research articles obtained from CINAHL, Embase, PubMed, PsycInfo, and the Cochrane database from1990 to 2014 were reviewed. A total of 131 published articles were identified, and 14 met the inclusion criteria of a randomized or nonrandomized clinical study with body mass index as primary outcome and/or secondary outcomes of diet/physical activity and/or psychosocial function, tested lifestyle interventions to prevent obesity, used technology, and studied adolescents (aged 12-18 years). The results indicated that six of 14 studies found body mass index and/or body fat decreased at short-term (less than 12 months) follow-up. Six of eleven studies that examined physical activity or physical activity-related outcomes found an improved physical activity outcome (time playing active video games and increase in physical activity time), while five of seven studies which assessed dietary outcomes indicated improvement in dietary behaviors. Five of seven studies suggested an improvement in psychosocial function (reduced depression, improved self-esteem and efficacy, improvement on Behavior Assessment Scale) in adolescents involved in the technology-based intervention. All effective interventions utilized dietary and physical activity strategies as part of intervention components. Because of the variation in duration of intervention (range 10 weeks to 2 years), it is not clear what length of intervention is most effective. Future research should assess the long-term impact of technology-based interventions and evaluate mediators and moderators for weight change in adolescents.