scholarly journals Relationship between Depressive Symptomatology, Physical Activity, and Response to Online Health Messages

Obesities ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 144-156
Author(s):  
Jason Gibbs ◽  
Hillary E. Swann-Thomsen ◽  
Nicki L. Aubuchon-Endsley
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Depressive Symptomatology ◽  
Cost Effective ◽  
Health Messages ◽  
Amazon Mechanical Turk ◽  
Depression Symptom ◽  
Activity Levels ◽  
Health Message ◽  
Physical Activity Levels

Although physical activity interventions are efficacious for decreasing depressive symptomatology severity, there are several barriers to accessing treatment, supporting the need for intervention delivery in more accessible and cost-effective modes. However, individuals may respond defensively to health messages if perceiving them as threatening, and thereby fail to change behaviors. Although online, health-based interventions are effective in leading to behavior change, limited research has been conducted to identify ways in which people respond differently to online health messages. Therefore, the aim of this study was to investigate how individuals differ in their acceptance and interpretation of online health-related messages as threatening, as well as their desire to improve health behaviors based on their current depressive and physical activity levels. A total of 197 participants (MAGE = 36.17 years, SDAGE = 12.52 years) drawn from Amazon Mechanical Turk (MTurk) were asked to read a message regarding the importance of physical activity for health. Their defensiveness and behavior change intentionality were evaluated in relation to physical activity and depressive symptomatology. Individuals who engaged in less physical activity were more accepting of the health message, more likely to find the article threatening, agree that less exercise was related to negative health issues, and agree they should increase their physical activity. Individuals with higher self-ratings of depressive symptomatology were less accepting of the health message, found the article more threatening, and believed it to be less important to increase their physical activity levels. However, neither physical activity nor depression symptom severity were related to whether an individual would actually increase their physical activity. There was no statistically significant correlation between physical activity and depression. Explanations for these findings are provided.

scholarly journals App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content (Preprint)

2016 ◽  
Author(s):  
Anouk Middelweerd ◽  
Saskia J te Velde ◽  
Julia S Mollee ◽  
Michel CA Klein ◽  
Johannes Brug
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Behavior Change ◽  
Activity Levels ◽  
Behavior Change Techniques ◽  
Stepwise Approach ◽  
Model Based ◽  
Reasoning System ◽  
Physical Activity Levels ◽  
Context Specific

BACKGROUND The Active2Gether intervention is an app-based intervention designed to help and encourage young adults to become and remain physically active by means of personalized, real-time activity tracking and context-specific feedback. OBJECTIVE The objective of our study was to describe the development and content of the Active2Gether intervention for physical activity promotion. METHODS A systematic and stepwise approach was used to develop the Active2Gether intervention. This included formulating objectives and a theoretical framework, selecting behavior change techniques, specifying the tailoring, pilot testing, and describing an evaluation protocol. RESULTS The development of the Active2Gether intervention comprised seven steps: analyzing the (health) problem, developing a program framework, writing (tailored) messages, developing tailoring assessments, developing the Active2Gether intervention, pilot testing, and testing and evaluating the intervention. The primary objective of the intervention was to increase the total time spent in moderate-vigorous physical activity for those who do not meet the Dutch guideline, maintain physical activity levels of those who meet the guideline, or further increase physical activity levels if they so indicated. The theoretical framework is informed by the social cognitive theory, and insights from other theories and evidence were added for specific topics. Development of the intervention content and communication channel resulted in the development of an app that provides highly tailored coaching messages that are framed in an autonomy-supportive style. These coaching messages include behavior change techniques aiming to address relevant behavioral determinants (eg, self-efficacy and outcome expectations) and are partly context specific. A model-based reasoning engine has been developed to tailor the intervention with respect to the type of support provided by the app, send relevant and context-specific messages to the user, and tailor the graphs displayed in the app. For the input of the tailoring, different instruments and sensors are used, such as an activity monitor (Fitbit One), Web-based and mobile questionnaires, and the location services on the user’s mobile phone. CONCLUSIONS The systematic and stepwise approach resulted in an intervention that is based on theory and input from end users. The use of a model-based reasoning system to provide context-specific coaching messages goes beyond many existing eHealth and mHealth interventions.

The Relationship between Physical Activity Levels and Functional Capacity in Patients with Advanced Chronic Kidney Disease

2020 ◽  
pp. 105477382090775 ◽  
Author(s):  
Anna Junqué Jiménez ◽  
Vicent Esteve Simó ◽  
Lola Andreu Periz ◽  
Eva Segura Ortí
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Functional Capacity ◽  
Depressive Symptomatology ◽  
Disease Stage ◽  
Activity Levels ◽  
Physical Activity Levels

The purpose of this study is to assess whether the functional capacity of patients with chronic kidney disease stage V (CKD-5D) is different depending on their physical activity levels. We also compared functional capacity, quality of life, and symptoms of depression depending on treatment modalities (HD vs. PD). A Cross-sectional study included 52 patients (35HD and 17PD; males 61.5%, mean age 71 years). The main measurements were physical activity level using the Human Activity Profile questionnaire (HAP), muscle strength, functional capacity, health-related quality of life (HRQoL), and depressive symptomatology. The functional tests and physical activity levels correlated significantly. Participants on HD with low physical activity levels were older (* p ≤ .039) and had worst physical function (* p ≤ .01). The HAP is a useful tool to detect subjects with low functional capacity; there were no differences between the therapy modalities in terms of functional capacity, HRQoL, or depressive symptomatology.

Student and Parent Self-Reported Changes in Physical Activity Behavior while Wearing an Unsealed Pedometer

2006 ◽  
Vol 18 (4) ◽  
pp. 492-499 ◽  
Author(s):  
Michael W. Beets ◽  
Arissa G. Eilert ◽  
Kenneth H. Pitetti ◽  
John T. Foley
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Television Viewing ◽  
Physical Activity Behavior ◽  
Outdoor Play ◽  
Activity Levels ◽  
Children And Parents ◽  
Physical Activity Levels ◽  
Activity Behavior ◽  
Reactive Effect

Child-parent pairs (n = 109) completed a questionnaire assessing whether changes in normal physical activity levels occurred (child) or were observed (parent) when the children wore a pedometer for 7 days. Over two-thirds of the children (78.5%) and almost half of the parents (47.3%) indicated an increase in the child’s normal physical activity. Reduced television viewing (75.2%) and increased outdoor play on the weekend (35.8%) were the most frequently reported means of behavior change as reported by the children and parents, respectively. Results indicate that both children and parents perceive a reactive effect to wearing an unsealed pedometer.

scholarly journals Associations Between Depressive Symptoms and Physical Activity Intensity in an Older Adult Population During COVID-19 Lockdown

2021 ◽  
Vol 12 ◽  
Author(s):  
Ana Lage ◽  
Susana Carrapatoso ◽  
Elzier Sampaio de Queiroz Neto ◽  
Sérgio Gomes ◽  
Luísa Soares-Miranda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Depressive Symptomatology ◽  
Vigorous Physical Activity ◽  
Depression Score ◽  
Self Report ◽  
Sitting Time ◽  
Activity Levels ◽  
Physical Activity Levels

IntroductionThe COVID-19 pandemic led to the implementation of physical–social distancing measures–including self-isolation, home confinement, and quarantine around the world, with psychological consequences such as depression. Older adults are especially likely to develop depressive symptomatology. This study aims to investigate the association between physical activity intensities and sedentary behavior with depression levels among previously active older adults during the COVID-19 lockdown.MethodsA total of 1,123 physically active older Brazilian adults (67.68 ± 5.91 years, 91.00% female) were interviewed by telephone in regard to sociodemographic, general health status, depression (GDS-15), and physical activity (IPAQ-SV) after being home-confined for 11.59 ± 2.42 weeks. Participants were also asked to self-report changes in their physical activity levels and time spent sitting. Descriptive statistics (mean, frequencies), between-groups comparisons (t-tests and chi-square), and hierarchical regression analysis were used.ResultsAbout 83.80% of older adults self-reported a decrease in daily physical activity levels and 73.90% increased sitting time. Overall, depressive symptoms were observed in 30.40, and 20.80% met physical activity recommendations. Daily moderate (β = −0.174; 95% CI = −0.026; -0.012) and moderate-to-vigorous (β = −0.183; 95% CI = −0.023; 0.011) physical activity intensities were negatively associated with depression score explaining 2.6 and 2.9% of depression variability, respectively, after adjusting for age, gender, education level, body mass index, and polypharmacy. Daily walking and sitting time were not associated with the depression score (p > 0.05).ConclusionThe results provide empiric suggestion supporting moderate to vigorous physical activity as a way to reduce depressive levels among older adults during COVID-19 confinement. Supervised home-based exercise programs, specifically designed for older adults, might be an important strategy to maintain and improve older adults’ mental health.

Sign in / Sign up

Export Citation Format

Share Document