Dataset Information

Targeted self-regulation interventions in low-income children: Clinical trial results and implications for health behavior change.

ABSTRACT: Self-regulation, known as the ability to harness cognitive, emotional, and motivational resources to achieve goals, is hypothesized to contribute to health behaviors across the lifespan. Enhancing self-regulation early in life may increase positive health outcomes. During pre-adolescence, children assume increased autonomy in health behaviors (e.g., eating; physical activity), many of which involve self-regulation. This article presents results from a clinical trial (NCT03060863) that used a factorial design to test behavioral interventions designed to enhance self-regulation, specifically targeting executive functioning, emotion regulation, future-oriented thinking, and approach biases. Participants were 118 children (9-12 years of age, M = 10.2 years) who had a history of living in poverty. They were randomized to receive up to four interventions that were delivered via home visits. Self-regulation was assayed using behavioral tasks, observations, interviews, and parent- and child-report surveys. Results were that self-regulation targets were reliably assessed and that interventions were delivered with high fidelity. Intervention effect sizes were very small to moderate (d range = .02-.65, median = .14), and most were not statistically significant. Intercorrelation analyses indicated that associations between measures within each target varied based on the self-regulation target evaluated. Results are discussed with regard to the role of self-regulation-focused interventions in child health promotion. Implications of findings are reviewed for informing next steps in behavioral self-regulation interventions among children from low-income backgrounds.

SUBMITTER: Lo SL

PROVIDER: S-EPMC8549766 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Targeted self-regulation interventions in low-income children: Clinical trial results and implications for health behavior change.

Lo Sharon L SL Gearhardt Ashley N AN Fredericks Emily M EM Katz Benjamin B Sturza Julie J Kaciroti Niko N Gonzalez Richard R Hunter Christine M CM Sonneville Kendrin K Chaudhry Kiren K Lumeng Julie C JC Miller Alison L AL

Journal of experimental child psychology 20210425

Self-regulation, known as the ability to harness cognitive, emotional, and motivational resources to achieve goals, is hypothesized to contribute to health behaviors across the lifespan. Enhancing self-regulation early in life may increase positive health outcomes. During pre-adolescence, children assume increased autonomy in health behaviors (e.g., eating; physical activity), many of which involve self-regulation. This article presents results from a clinical trial (NCT03060863) that used a fac ...[more]

PMID: 33910138

Similar Datasets

Project description:BackgroundThe decision to initiate or maintain a healthy habit, such as physical activity involves a trade-off between a short-term cost, such as time and effort, which are commonly identified as barriers to physical activity, and a long-term health benefit. Research suggests that individual time preference may be associated with unhealthy behaviors. However, empirical evidence of this for physical activity is scant. This study investigated the relationship between time preference and physical activity, and how this might influence behavior change.MethodsEmployees (n = 176; mean age 42.2 years) who participated in a physical activity intervention were invited to take part in a behavioral economic field experiment. Two economic experiments, using multiple price lists and monetary trade-off tables involving real money choices, were conducted face-to-face with participants to measure the two components of time preference, namely present-bias and discount rate. Together with individual risk preferences, these three variables were jointly estimated by maximum likelihood. These three parameters were expressed as a linear function of the levels of physical activity while controlling for socio-demographic variables within the same maximum likelihood framework.ResultsThose who were present-biased and who had higher discount rates did significantly less physical activity than their patient and non present-biased counterparts. A 3% lower discount rate and 1.14 unit decrement in the present-bias parameter was associated with a 30 min increase of physical activity per week. This negative association was more significant for certain sub-groups, such as younger and married adults and those with higher staff grade and those who have children. Participants who dropped out of the study earlier were more present-biased.ConclusionsResults demonstrated that discount rate and present-biasedness have a significant impact on physical activity levels. Such concepts have been largely overlooked and underutilized in physical activity interventions. Promising implications include 1) utilizing individuals' time preferences to better target interventions; 2) taking account of time preferences in the intervention design; 3) interventions attempting to correct for present-biasedness.

Project description:PurposeHealthy eating, physical activity and smoking interventions for low-income groups may have small, positive effects. Identifying effective intervention components could guide intervention development. This study investigated which content and delivery components of interventions were associated with increased healthy behavior in randomised controlled trials (RCTs) for low-income adults.MethodData from a review showing intervention effects in 35 RCTs containing 45 interventions with 17,000 participants were analysed to assess associations with behavior change techniques (BCTs) and delivery/context components from the template for intervention description and replication (TIDieR) checklist. The associations of 46 BCTs and 14 delivery/context components with behavior change (measures of healthy eating, physical activity and smoking cessation) were examined using random effects subgroup meta-analyses. Synergistic effects of components were examined using classification and regression trees (meta-CART) analyses based on both fixed and random effects assumptions.ResultsFor healthy eating, self-monitoring, delivery through personal contact, and targeting multiple behaviors were associated with increased effectiveness. Providing feedback, information about emotional consequences, or using prompts and cues were associated with reduced effectiveness. In synergistic analyses, interventions were most effective without feedback, or with self-monitoring excluding feedback. More effective physical activity interventions included behavioral practice/rehearsal or instruction, focussed solely on physical activity or took place in home/community settings. Information about antecedents was associated with reduced effectiveness. In synergistic analyses, interventions were most effective in home/community settings with instruction. No associations were identified for smoking.ConclusionThis study identified BCTs and delivery/context components, individually and synergistically, linked to increased and reduced effectiveness of healthy eating and physical activity interventions. The identified components should be subject to further experimental study to help inform the development effective behavior change interventions for low-income groups to reduce health inequalities.

Project description:Introduction People with disabilities and older adults face a high risk of dying from COVID-19. Handwashing with soap and sanitizing surfaces were recommended to disrupt COVID-19 transmission. Yet, in many low-and middle-income countries (LMICs), these populations have inadequate access to water, sanitation and hygiene (WASH) and are not reached by public health campaigns. The Hygiene Behavior Change Coalition (HBCC) was set up to limit the spread of COVID-19 in LMICs. Twenty organizations working across 37 countries were funded to encourage populations to adopt recommended personal hygiene behaviors. This study aims to review the inclusion of disability, aging, and caregiving in HBCC grantee interventions. Methods A COVID-19 Inclusive WASH Checklist, which incorporates core concepts of human rights, was developed to support the inclusion of disability, aging and caregivers in interventions. The Checklist was applied to 137 documents submitted to donors within the HBCC fund to assess inclusion. Eligible grantee programme documents related to HBCC-funded projects were identified between August 2020 and January 2021. Feedback was provided to grantees recommending how to strengthen the inclusion of disability, aging, and caregiving. Results Most organizations identified people with disabilities, older adults and caregivers as target groups, but targeted activities to include them were scarce. Where efforts were made, immediate needs rather than rights were addressed. For example, the construction of accessible handwashing facilities featured more prominently than ensuring the participation of these groups. Examples of the coverage of core concepts in interventions included generating data with these groups and developing interventions accordingly. Limitations to inclusion were inconsistent organizational approaches, inability to monitor media campaigns, and inadequate coverage of disability and aging in donor's grant funding mechanisms. Conclusion To ensure these populations benefit from efforts, they must be explicitly identified as target groups, with assigned actions that are monitored; efforts must go beyond accessible WASH services to ensure the meaningful participation of these groups. The COVID-19 Inclusive WASH Checklist supports this but requires further testing to assess its appropriateness and effectiveness.

Dataset Information

Targeted self-regulation interventions in low-income children: Clinical trial results and implications for health behavior change.

Publications

Targeted self-regulation interventions in low-income children: Clinical trial results and implications for health behavior change.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets