scholarly journals Group-based physical activity interventions for postpartum women with children aged 0–5 years old: a systematic review of randomized controlled trials

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
L. R. Peralta ◽  
W. G. Cotton ◽  
D. A. Dudley ◽  
L. L. Hardy ◽  
Z. Yager ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Evidence Base ◽  
Controlled Trials ◽  
Postpartum Women ◽  
Process Data ◽  
Adequate Dose ◽  
Behavior Outcomes ◽  
Objectively Measured ◽  
The Impact

Abstract Background It is estimated that less than one third of women (28%) worldwide, are not sufficiently active, and there is evidence indicating physical activity (PA) participation is lower during pregnancy and the postpartum period. Despite the importance of educating and encouraging postpartum women to engage in PA, existing systematic reviews have only focused on examining the impact of individually tailored PA interventions and on specific postpartum populations such as women who are inactive (i.e., do not meet PA recommendations) or women at risk of gestational diabetes mellitus or postnatal depression. This review aims to fill this gap by examining the impact of group-based PA interventions on postpartum women’s PA levels or other health behavior outcomes. Methods A systematic literature search was conducted using four electronic databases (MEDLINE, CINAHL, EMBASE and PsychInfo) of published studies between 1st January 2000 and 31st October 2020. Studies were included if they targeted postpartum women with no current health conditions, had children aged 0–5 years, and engaged postpartum women in a group-based PA program that reported PA or other health behavior outcomes. Out of a total of 1091 articles that were initially identified, six were included. Results Group-based PA interventions were moderately successful in changing or increasing postpartum women’s self-reported PA levels and psychological wellbeing in the first 2 years of their offspring’s life. Overall, group-based PA interventions were not successful in changing or increasing postpartum women’s objectively measured PA levels, but only one study objectively measured postpartum women’s PA levels. Narrative synthesis highlights the heterogeneity of the outcomes and methodologies used, and the low to medium risk of bias in the included studies. Conclusion To strengthen the evidence-base for group-based PA programs with postpartum women there is an on-going need for more rigorous randomised controlled trials of appropriate length (at least 3 months in duration) with an adequate dose of group-based PA sessions per week (to meet PA guidelines), and that utilise objective measures of PA. In addition, future PA interventions for this population should include, at the very least, fidelity and process data to capture the characteristics or design features that appeal most to postpartum women.

scholarly journals Information Architecture of Web-Based Interventions to Improve Health Outcomes: Systematic Review (Preprint)

2017 ◽  
Author(s):  
Jillian Pugatch ◽  
Emily Grenen ◽  
Stacy Surla ◽  
Mary Schwarz ◽  
Heather Cole-Lewis
Keyword(s):  
Health Behavior ◽  
Health Outcomes ◽  
Digital Health ◽  
Behavioral Outcomes ◽  
Evidence Base ◽  
Information Architecture ◽  
Site Condition ◽  
Behavior Outcomes ◽  
And Behavior ◽  
The Impact

BACKGROUND The rise in usage of and access to new technologies in recent years has led to a growth in digital health behavior change interventions. As the shift to digital platforms continues to grow, it is increasingly important to consider how the field of information architecture (IA) can inform the development of digital health interventions. IA is the way in which digital content is organized and displayed, which strongly impacts users’ ability to find and use content. While many information architecture best practices exist, there is a lack of empirical evidence on the role it plays in influencing behavior change and health outcomes. OBJECTIVE Our aim was to conduct a systematic review synthesizing the existing literature on website information architecture and its effect on health outcomes, behavioral outcomes, and website engagement. METHODS To identify all existing information architecture and health behavior literature, we searched articles published in English in the following databases (no date restrictions imposed): ACM Digital Library, CINAHL, Cochrane Library, Google Scholar, Ebsco, and PubMed. The search terms used included information terms (eg, information architecture, interaction design, persuasive design), behavior terms (eg, health behavior, behavioral intervention, ehealth), and health terms (eg, smoking, physical activity, diabetes). The search results were reviewed to determine if they met the inclusion and exclusion criteria created to identify empirical research that studied the effect of IA on health outcomes, behavioral outcomes, or website engagement. Articles that met inclusion criteria were assessed for study quality. Then, data from the articles were extracted using a priori categories established by 3 reviewers. However, the limited health outcome data gathered from the studies precluded a meta-analysis. RESULTS The initial literature search yielded 685 results, which was narrowed down to three publications that examined the effect of information architecture on health outcomes, behavioral outcomes, or website engagement. One publication studied the isolated impact of information architecture on outcomes of interest (ie, website use and engagement; health-related knowledge, attitudes, and beliefs; and health behaviors), while the other two publications studied the impact of information architecture, website features (eg, interactivity, email prompts, and forums), and tailored content on these outcomes. The paper that investigated IA exclusively found that a tunnel IA improved site engagement and behavior knowledge, but it decreased users’ perceived efficiency. The first study that did not isolate IA found that the enhanced site condition improved site usage but not the amount of content viewed. The second study that did not isolate IA found that a tailored site condition improved site usage, behavior knowledge, and some behavior outcomes. CONCLUSIONS No clear conclusion can be made about the relationship between IA and health outcomes, given limited evidence in the peer-reviewed literature connecting IA to behavioral outcomes and website engagement. Only one study reviewed solely manipulated IA, and we therefore recommend improving the scientific evidence base such that additional empirical studies investigate the impact of IA in isolation. Moreover, information from the gray literature and expert opinion might be identified and added to the evidence base, in order to lay the groundwork for hypothesis generation to improve empirical evidence on information architecture and health and behavior outcomes.

Analyzing the Impact of Healthy Behavior on Weight Change with a Provable Mathematical Model (Preprint)

2020 ◽  
Author(s):  
Ayan Chatterjee ◽  
Ram Bajpai ◽  
Pankaj Khatiwada
Keyword(s):  
Physical Activity ◽  
Mathematical Model ◽  
Health Behavior ◽  
Weight Change ◽  
Simulated Data ◽  
Negative Behavior ◽  
Healthy Behavior ◽  
Healthy Habits ◽  
Lifestyle Diseases ◽  
The Impact

BACKGROUND Lifestyle diseases are the primary cause of death worldwide. The gradual growth of negative behavior in humans due to physical inactivity, unhealthy habit, and improper nutrition expedites lifestyle diseases. In this study, we develop a mathematical model to analyze the impact of regular physical activity, healthy habits, and a proper diet on weight change, targeting obesity as a case study. Followed by, we design an algorithm for the verification of the proposed mathematical model with simulated data of artificial participants. OBJECTIVE This study intends to analyze the effect of healthy behavior (physical activity, healthy habits, and proper dietary pattern) on weight change with a proposed mathematical model and its verification with an algorithm where personalized habits are designed to change dynamically based on the rule. METHODS We developed a weight-change mathematical model as a function of activity, habit, and nutrition with the first law of thermodynamics, basal metabolic rate (BMR), total daily energy expenditure (TDEE), and body-mass-index (BMI) to establish a relationship between health behavior and weight change. Followed by, we verified the model with simulated data. RESULTS The proposed provable mathematical model showed a strong relationship between health behavior and weight change. We verified the mathematical model with the proposed algorithm using simulated data following the necessary constraints. The adoption of BMR and TDEE calculation following Harris-Benedict’s equation has increased the model's accuracy under defined settings. CONCLUSIONS This study helped us understand the impact of healthy behavior on obesity and overweight with numeric implications and the importance of adopting a healthy lifestyle abstaining from negative behavior change.

Abstract MP01: Association of Objectively-measured Physical Activity with Cardiovascular Risk in Mobility-limited Older Adults

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Thomas W Buford ◽  
Don G Hire ◽  
Walter T Ambrosius ◽  
Stephen D Anton ◽  
Timothy S Church ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Risk Score ◽  
Activity Data ◽  
Mean Intensity ◽  
Wear Time ◽  
Low Intensity ◽  
Objectively Measured ◽  
The Impact

Introduction: In middle-aged adults, time spent being sedentary is associated with cardiovascular (CV) health risks independent of structured physical activity (PA). However, data are sparse regarding the impact of sedentary behavior on CV risk in older adults. The extent to which the absolute duration or intensity of daily PA reduces CV risk in older adults is also unknown. Objectives: Our objective was to examine the cross-sectional association between objectively-measured sedentary behavior and predicted CV risk among older adults in the Lifestyle Interventions and Independence for Elders (LIFE) study. The secondary objective was to evaluate associations between the duration/intensity of daily PA and predicted CV risk. Methods: LIFE is a randomized clinical trial to determine if regular PA prevents mobility disability among mobility-limited older adults. Activity data were collected by hip-worn accelerometer at baseline prior to participation in study interventions. Only participants with at least three days of accelerometry data (≥ 10 hrs wear time) were included. Unadjusted and adjusted linear regression was used to model the relationship between accelerometry measures and predicted 10-year Framingham risk of Hard Coronary Heart Disease (HCHD; i.e. myocardial infarction or coronary death). Adjusted models included demographic confounders (e.g. education, race, income) and health parameters (e.g. depression, cognition, arthritis) not in the risk score. Accelerometry cut-points were (in counts/min): sedentary behavior: < 100; low-intensity activity: 100-499; higher intensity activity: > 500. Results: Participants (n = 1170; 78.7 ± [SD] 5.3 years; 66.1% female) had a median HCHD risk of 10.3% (25 th -75 th %: 5.7-18.6). Over a mean accelerometer wear time of 8.1 ± 3.2 days, participants spent 77.0 ± 8.2% of their time sedentary. They also spent 16.6 ± 5.0% of their time in low-intensity PA and 6.4 ± 4.4% in higher-intensity PA. For all PA performed (> 100 counts/min), participants achieved a median of 393.4 (337.8-473.5) counts/min. In the unadjusted model, time spent sedentary (β = 2.41; 95% CI : 1.94, 2.89), in low-intensity PA (-2.56; -3.03, -2.08), and in higher-intensity PA (-1.60; -2.09, -1.11) were all associated with HCHD risk (all p’s < 0.001). These associations remained significant after adjustment. The mean intensity of daily PA was not significantly associated with HCHD risk in any model (p > 0.05). Conclusions: Daily time spent being sedentary is positively associated with predicted 10-year HCHD risk among mobility-limited older adults. Duration, but not mean intensity, of daily PA is inversely associated with HCHD risk score in this population.

scholarly journals Mediterranean Built Environment and Weather as Modulator Factors on Physical Activity: Cross-Sectional Study

Proceedings ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 2
Author(s):  
Antoni Colom ◽  
Maurici Ruiz ◽  
Josep Muncunill ◽  
Julia Wärnberg ◽  
Montserrat Compa ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Vigorous Physical Activity ◽  
Additive Models ◽  
Active Ageing ◽  
Brisk Walking ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Objectively Measured ◽  
The Impact

Background: When promoting physical activity practice, it is important to consider the plausible environmental determinants that may affect this practice. We aimed to explore the impact of objectively measured Public Open Spaces (POS) on objectively measured and self-reported physical activity and the influence of weather on this association, in a Mediterranean sample of senior adults with overweight or obesity and the metabolic syndrome. Method: Cross-sectional analyses based on 218 PREDIMED-Plus trial participants aged 55 to 75 years, from Palma de Mallorca (Spain). Indicators of access to POS were assessed in a 1.0 km sausage network walkable buffer around each participant’s residence address using geographic information systems. Mean daily minutes of self-reported leisure-time brisk walking, and accelerometer objectively measured moderate-to-vigorous physical activity in bouts of at least 10 min (OM-MVPA) were measured. To investigate the association between access to POS and physical activity, generalized additive models with Gaussian link function were used. Results: Better access to POS was not statistically significantly associated with self-reported leisure-time brisk walking. A positive significant association was only observed between the distance of healthy routes contained or intersected by buffer and OM-MVPA. This association was only evident on non-rainy days. Conclusions: In this elderly population living in a Mediterranean city, only healthy routes contained or intersected by a 1 km sausage network walkable buffer influenced the accelerometer objectively measured moderate-to-vigorous physical activity in bouts of at least 10 min and rainy conditions during the accelerometer period appeared to be an important factor related to active ageing.

scholarly journals Promoting Healthy Eating and Physical Activity Behaviors: A Systematic Review of Multiple Health Behavior Change Interventions Among Cancer Survivors

2016 ◽  
Vol 12 (3) ◽  
pp. 184-199 ◽  
Author(s):  
Steve Amireault ◽  
Angela J. Fong ◽  
Catherine M. Sabiston
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Healthy Eating ◽  
Health Behavior Change ◽  
Cochrane Library ◽  
Multiple Health Behavior Change ◽  
The Impact ◽  
Multiple Health

Multiple health behavior change (MHBC) interventions have great potential for enhancing health and well-being following cancer diagnosis and treatment. However, the characteristics and effects of MHBC interventions remain elusive for cancer survivors. The main purpose of this study was to evaluate the effectiveness of MHBC interventions on healthy eating and physical activity behaviors among cancer survivors. A secondary aim was to examine the effect of using a simultaneous and sequential design approach to MHBC (ie, changing both behaviors at the same time or one after the other). Randomized controlled trials reporting the impact of a MHBC intervention on both healthy eating and physical activity behaviors among cancer survivors were retrieved from MEDLINE, Cochrane Library, and PsycINFO. A total of 27 MHBC interventions were identified; most (92.6%) were designed to promote simultaneous change in both behaviors and assessed end-of-treatment effect among breast cancer survivors. MHBC interventions led by nurses or multidisciplinary teams showed the most compelling evidence for small to moderate improvement in both behaviors, with interventions that lasted ≥17 weeks more likely to improve both behaviors. This study identifies research priorities and provides preliminary evidence for clinical decision making and advancements in MHBC intervention design and delivery for clinical oncology.

Incorporating Health-Related Criteria for Project Scoring in Massachusetts

2021 ◽  
pp. 036119812110570
Author(s):  
Aikaterini Deliali ◽  
Sarah Esenther ◽  
Christine Frisard ◽  
Michael Bolduc ◽  
Derek Krevat ◽  
...  
Keyword(s):  
Physical Activity ◽  
Decision Making ◽  
Air Quality ◽  
Evidence Base ◽  
Active Transportation ◽  
Department Of Transportation ◽  
Transportation Projects ◽  
Health Related ◽  
The Impact ◽  
Highway Project

Transportation projects can affect health through multiple pathways—for example, by degrading air quality or encouraging active transportation. There is a need to incorporate health considerations in transportation decision-making to achieve health-related community goals. This paper presents highway project scoring criteria that allow for capturing the impact of transportation projects on health. These scoring criteria are organized into five groups—air quality, accessibility, equity, physical activity, and safety—to capture the multiple pathways that transportation interacts with health. The focus of this study was on updating the Massachusetts Department of Transportation Highway Division project scoresheet to incorporate health-related criteria. Evidence base, standards, and data needs based on which each criterion is assessed, as well as limitations, are summarized for each of the proposed criteria. The paper concludes with a discussion on the outcomes of the proposed changes as well as the transferability potential of the proposed criteria.

Impact of the COVID-19 pandemic on objectively measured physical activity and sedentary behavior among overweight young adults: A year-long longitudinal analysis (Preprint)

2021 ◽  
Author(s):  
Victoria Costello ◽  
Guillaume Chevance ◽  
David Wing ◽  
Shadia J, Assi ◽  
Sydney Sharp ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sedentary Behavior ◽  
Daily Living ◽  
Structural Changes ◽  
Vigorous Physical Activity ◽  
Mitigation Strategies ◽  
Steps Per Day ◽  
Objectively Measured ◽  
The Impact

BACKGROUND The COVID-19 pandemic impacted multiple aspects of daily living, including behaviors associated with occupation, transportation, and health. It is unclear how these changes to daily living impacted physical activity and sedentary behavior. OBJECTIVE To examine the impact of the COVID-19 mitigation strategies on physical activity and sedentary behavior among young adults enrolled in an ongoing weight loss trial using longitudinal data acquired from wrist-worn activity monitors over the course of 1 year in San Diego, CA. METHODS Date were collected in 315 participants between 11/01/2019 and 10/30/2020 using the Fitbit Charge 3. After strict filtering for valid consistent wear (more than 10 hours per day for 250+ days), data from 97 participants were analyzed to detect multiple structural changes in time series of physical activity and sedentary behavior. RESULTS After initiation of the shelter-in-place order in CA on 03/19/2021, there were significant decreases in step counts (-2872 steps per day, 95% CI [-2734; -3010]), light physical activity (-41·9 minutes, 95% CI [39·5, 44·3]), and moderate-to-vigorous physical activity (-12·2 minutes, 95% CI [10·6, 13·8]), as well as significant increases in sedentary behavior (+52·8 minutes, 95% CI [47.0, 58.5]). Decreases were greater than expected declines observed during winter holidays, and as of 10/30/2020, they had not returned to levels observed prior to shelter-in-place orders. CONCLUSIONS In young adults, physical activity decreased and sedentary behavior increased concurrent with COVID-19 mitigation strategies. Health conditions associated with sedentary lifestyle may be additional unintended costs of the COVID-19 pandemic. CLINICALTRIAL NIH 5R01HL136769-03)

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