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Relationships among changes in physical activity, quality of life, and obesity-Status following a behavioral intervention for rural Appalachian adults.

ABSTRACT: Improved health-related quality of life (HRQoL) is one benefit of physical activity. Yet, there is limited intervention research exploring (1) whether changes in physical activity influence changes in HRQoL among community-based populations and (2) if baseline obesity status influences the relationships. This exploratory analysis used secondary data from rural Appalachian adults who completed the MoveMore arm of a larger randomized control trial (n = 105, M_age = 41.8, 82 % female, 96 % White, M_income= $25,911). Specifically, this study examined associations among changes in physical activity and HRQOL and whether baseline obesity status moderated changes. Three HRQoL variables (self-rated health status, total unhealthy days, days poor health impacted activities) and two physical activity variables [weekly moderate-vigorous physical activity (MVPA) minutes, weekly strength training minutes] were collected at baseline and 6-months. Regression models, adjusted for age, gender, race, income, education, assessed associations between physical activity and HRQoL change variables. Moderation analyses explored the influence of baseline obesity status on these relationships. Participants reported significant improvements in self-rated health status (P = 0.001), weekly MVPA minutes (P = 0.008), and weekly strength training minutes (P < 0.001). Increasing weekly strength training minutes was associated with fewer days poor health impacted activities (B = -0.040, P = 0.013). Weekly minutes of MVPA was not associated with HRQoL variables. Baseline obesity status did not moderate relationships. Findings suggest increasing weekly strength training may reduce days poor health impacted activities and that relationships among changes in physical activity and HRQoL were not impacted by baseline obesity. Findings have implications for promoting strength activities in community-based physical activity interventions for rural populations.

SUBMITTER: Porter KJ

PROVIDER: S-EPMC9502328 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Relationships among changes in physical activity, quality of life, and obesity-Status following a behavioral intervention for rural Appalachian adults.

Porter Kathleen J KJ You Wen W Estabrooks Paul A PA Zoellner Jamie M JM

Preventive medicine reports 20220812

Improved health-related quality of life (HRQoL) is one benefit of physical activity. Yet, there is limited intervention research exploring (1) whether changes in physical activity influence changes in HRQoL among community-based populations and (2) if baseline obesity status influences the relationships. This exploratory analysis used secondary data from rural Appalachian adults who completed the MoveMore arm of a larger randomized control trial (n = 105, M<sub>age</sub> = 41.8, 82 % female, 96 ...[more]

PMID: 36161126

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Project description:BackgroundTo avoid the low engagement and limited efficacy of digital behavioral health interventions, robust human-centered design (HCD) processes are needed.ObjectiveThe primary objective of this study was to describe a flexible, step-by-step HCD process to develop digital behavioral health interventions by illustrating iSIPsmarter as an example. iSIPsmarter is a digital intervention for reducing the consumption of sugar-sweetened beverages (SSBs) that comprises 6 internet-based cores metered out over time to deliver the program content, an integrated SMS text message strategy to engage users in reporting SSB behaviors, and an electronic cellular-enabled scale for in-home weighing. The secondary objective is to illustrate the key components and characteristics of iSIPsmarter that resulted from the HCD process.MethodsThe methods were guided by the Model for Internet Interventions and by best practices in HCD and instructional design processes (eg, rapid prototype development and think-aloud protocol). The 3-phased (ie, contextual, prototype testing, end user testing phases) process followed in this study included a series of 13 semistructured one-on-one interviews with 7 advisory team participants from the targeted Appalachian user group. The interviews were content coded by 2 researchers and then deductively coded to the suggested areas of digital behavioral health interventions.ResultsThe participants provided rich perspectives pertaining to iSIPsmarter's appearance, behavioral prescriptions, burdens, content, delivery, message, participation, and assessment. These inputs included requests for built-in flexibility to account for varying internet and SMS text message accessibility among users; ideas to resolve the issues and problems encountered when using the prototypes, including those related to navigation and comprehension of content; ideas to enhance personalized feedback to support motivation and goal setting for SSB consumption and weight; and feedback to refine the development of realistic and relatable vignettes. The participants were able to interact with multiple prototype drafts, allowing researchers to capture and incorporate feedback related to the iSIPsmarter dashboard, daily SSB and weight diaries, action planning, core content, interactions, and vignettes.ConclusionsUsing scientific models and established processes is critical for building robust and efficacious interventions. By applying an existing model and HCD and instructional design processes, we were able to identify assumptions and address the key areas of the iSIPsmarter intervention that were hypothesized to support users' engagement and promote behavior change. As evidenced by the rich feedback received from the advisory team members and the resulting iSIPsmarter product, the HCD methodology was instrumental in the development process. Although the final iSIPsmarter content is specific to improving SSB consumption behaviors among adults in rural areas, the intent is that this HCD process will have wide applications in the development of digital behavioral health interventions across multiple geographic and behavioral contexts.

Project description:ImportanceThe effectiveness of remotely delivered, self-directed, weight loss programs in routine clinical practice is largely unknown.ObjectiveTo test whether a self-directed, remotely administered behavioral lifestyle intervention improves weight and self-reported general health status compared with usual care.Design, setting, and participantsIn this randomized clinical trial, 511 adults with a body mass index (BMI) of 30 or more and less than 45 (based on electronic health record [EHR] weight and height), were enrolled from 30 Veterans Health Administration (VHA) sites between February 15, 2018, and December 18, 2018 (final follow-up February 18, 2021).InterventionsParticipants were randomly assigned to the intervention group (n = 254) or the control group (n = 257). Both received usual care. Participants randomized to the intervention received Diabetes Prevention Program-based self-directed videos, handouts, and coaching messages via an online platform or US mail for 12 months.Main outcomes and measuresCoprimary outcomes were weight measured in primary care and recorded in the EHR and self-reported general health status using the Medical Outcomes Study 12-Item Short Form Health Survey (SF-12) physical component score (PCS; higher scores are better [range, 0-100]) at the 12-month follow-up. The between-group minimal clinically important differences are 3 kg for weight and 5 points for the SF-12 PCS. Linear mixed models used weights and SF-12 PCS measured at either time point, with participants analyzed according to randomization assignment. Statistical significance for each coprimary outcome was based on a 2-sided α level of .025.ResultsAmong 511 participants randomized (mean age, 57.4 [SD, 13.9] years; 231 female [45%]), 429 (84.0%) had EHR-based weights and 410 (80.2%) had SF-12 PCS data at 12 months. The unadjusted mean weight at 12 months declined from 102.7 kg to 99.8 kg in the intervention group compared with 101.9 kg to 101.0 kg in the control group (adjusted between-group mean difference, -1.93 [97.5% CI, -3.24 to -0.61]; P = .001). At 12 months, the unadjusted mean SF-12 PCS scores declined from 44.8 to 44.3 among intervention participants compared with 44.5 to 43.2 among control participants (adjusted between-group mean difference, intervention minus control, 0.69 [97.5% CI, -1.11 to 2.49]; P = .39). Cardiovascular events represented the highest percentage of serious adverse events, accounting for 25% of events in the intervention group and 35% in the control group.Conclusions and relevanceAmong adults with obesity, a remotely delivered self-directed, behavioral lifestyle intervention, compared with usual care, resulted in statistically significantly greater weight loss at 12 months, although the difference was not clinically important. There was no significant difference in self-reported general physical health status at 12 months.Trial registrationClinicalTrials.gov Identifier: NCT03260140.

Dataset Information

Relationships among changes in physical activity, quality of life, and obesity-Status following a behavioral intervention for rural Appalachian adults.

Publications

Relationships among changes in physical activity, quality of life, and obesity-Status following a behavioral intervention for rural Appalachian adults.

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