Psychiatric disorders are influenced by genetic and environmental factors. However, their study is hindered by limitations on precisely characterizing human behavior. New technologies such as wearable sensors show promise in surmounting these limitations in that they measure heterogeneous behavior in a quantitative and unbiased fashion.
View Article and Find Full Text PDFBackground: The study aimed to validate the Cravings for Rest and Volitional Energy Expenditure (CRAVE) scale among Chinese adults with different health conditions (healthy control, chronic illnesses, and psychiatric disorders) and skill levels (athletes vs. non-athletes).
Methods: In Study 1, a confirmatory factor analysis (CFA) using the Maximum Likelihood Method (MLM) was performed on a Chinese sample of emerging adults ( = 481) to evaluate the structural validity of the Cravings for Rest and Volitional Energy Expenditure-Chinese version (CRAVE-C).
Background: Poor physical fitness, stress, and fatigue are factors impacting military readiness, national security, and economic burden for the United States Department of Defense. Improved accuracy of wearable biosensors and remote field biologic sample collection strategies could make critical contributions to understanding how physical readiness and occupational stressors result in on-the-job and environment-related injury, sleep impairments, diagnosis of mental health disorders, and reductions in performance in war-fighters.
Objective: This study aimed to evaluate the feasibility and acceptability of intensive biomarker and biometric data collection to understand physiological and psychological stress in Army Reserved Officer Training Corps cadets before, during, and after a 96-hour field training exercise (FTX).
Glucose variability (GV)-the degree of fluctuation in glucose levels over a certain period of time-is emerging as an important parameter of dynamic glycemic control. Repeated glycemic oscillations have been reported to be the link to diabetes complications. This prospective observational study aims to: (1) identify multilevel risk factors (personal and social-built environmental factors) associated with high GV; (2) identify "within-person predictors" of high GV leveraging the intra-person data to inform future personalized diabetes interventions; and (3) examine which lifestyle factors either mediate or moderate the relationship between emotional well-being and GV among diverse adults with type 2 diabetes (T2D).
View Article and Find Full Text PDFBackground: Barriers to moderate-to-vigorous physical activity (MVPA) for adolescents with type 1 diabetes (T1D) include physiology, transition to autonomy, and diabetes-specific stigma. Opportunities for T1D peer activities with T1D role model support are limited. To address this need, our single-arm pilot study tested the Home-based Virtual Activity Program for Youth with T1D (HAP-V-T1D) for feasibility.
View Article and Find Full Text PDFEvaluating user experiences with digital interventions is critical to increase uptake and adherence, but traditional methods have limitations. We incorporated natural language processing (NLP) with convergent mixed methods to evaluate a personalized feedback and coaching digital sleep intervention for alcohol risk reduction: 'Call it a Night' ( = 120). In this randomized clinical trial with young adults with heavy drinking, control conditions were + : web-based advice + active and passive monitoring; and : advice + passive monitoring.
View Article and Find Full Text PDFBackground: Physical activity (PA) is important for the long-term health and weight management of patients who undergo metabolic and bariatric surgery (MBS). However, the roles of exercise professionals in MBS settings have not been systematically determined.
Objectives: To investigate: (1) who are the professionals implementing PA programming in MBS clinical settings; and (2) what patient-centric tasks do they perform?
Setting: Clinical and academic exercise settings worldwide.
Objectives: To synthesize evidence and summarize research findings related to the effectiveness and feasibility of dance movement intervention (DMI) in older adults with mild cognitive impairment (MCI), Alzheimer's disease (AD), and dementia; to systemically map existing research gaps and research directions for future practice.
Methods: A systematic search was conducted using six electronic databases: Web of Science, PubMed, PsycINFO, MEDLINE, ScienceDirect, and Cochrane Central Register of Controlled Trials. The methodological quality of included studies was assessed using the Cochrane Risk of Bias Tool for Randomized Trials (RoB 2) and The Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I).
Objectives: In this review, we aim to highlight the evidence base for the benefits of exercise in relation to the treatment of noncommunicable diseases (NCDs), draw on the Health Triangular Policy Framework to outline the principal facilitators and barriers for implementing exercise in health policy, and make concrete suggestions for action.
Methods: Literature review and framework analysis were conducted to deal with the research questions.
Results: Exercise prescription is a safe solution for noncommunicable diseases prevention and treatment that enables physicians to provide and instruct patients how to apply exercise as an important aspect of disease treatment and management.
Motivation states for physical activity and sedentarism potentially vary from moment to moment. The CRAVE scale (Cravings for Rest and Volitional Energy Expenditure) was developed to assess transient wants and desires to move. Three studies were conducted with the aims of: (1) translating and validating the scale in Brazilian Portuguese, (2) examining changes with exercise, and (3) determining the best single-item for Move and Rest subscales for English and Portuguese.
View Article and Find Full Text PDFBackground: Taking part in moderate-to-vigorous exercise in contact sports on a regular basis may be linked to an increase in cerebrovascular injury and head trauma. Validated objective measures are lacking in the initial post-event diagnosis of head injury. The exercise style, duration, and intensity may also confound diagnostic indicators.
View Article and Find Full Text PDFBackground: Multiple research strategies are required to recruit and engage a representative cohort of young adults in diabetes research. In this report, we describe an approach for internet-based recruitment for a repeated-measures descriptive study.
Objective: The objective of this cross-sectional study was to determine whether internet-based recruitment through multiple social media platforms, a clinical research platform, and cooperation with community partnerships-College Diabetes Network and Beyond Type 1-would serve as an effective way to recruit a representative sample of young adults aged 18-25 years with type 1 diabetes (T1D).
Background: The purpose of this scoping review is to stimulate interest and to raise awareness, among researchers, healthcare practitioners, and policymakers regarding the current scientific literature related to exercise prescription for non-communicable diseases (NCDs). Exercise prescription is a safe and cost-effective method that enables physicians to use exercise as a complementary addition to NCDs management and treatment.
Methods: This scoping review followed the PRISMA Extension Guidelines for Scoping Reviews (PRISMA-ScR): Checklist and Explanation.
Background: The effects of Anabolic Androgenic Steroids (AAS) are largely illustrated through Androgen Receptor induced gene transcription, yet RNA-Seq has yet to be conducted on human whole blood and skeletal muscle. Investigating the transcriptional signature of AAS in blood may aid AAS detection and in muscle further understanding of AAS induced hypertrophy.
Methods: Males aged 20-42 were recruited and sampled once: sedentary controls (C), resistance trained lifters (RT) and resistance trained current AAS users (RT-AS) who ceased exposure ≤ 2 or ≥ 10 weeks prior to sampling.
Motivation for physical activity and sedentary behaviors (e.g., desires, urges, wants, cravings) varies from moment to moment.
View Article and Find Full Text PDFObjective: Pilot-test personalized digital health information to substantiate human-delivered exercise support for adults with type 1 diabetes (T1D).
Design: Single-group, 2-week baseline observation, then 10-week intervention with follow-up observation.
Setting: Community-based sample participating remotely with physician oversight.
Background: Individuals with later bedtimes have an increased risk of difficulties with mood and substances. To investigate the causes and consequences of late bedtimes and other sleep patterns, researchers are exploring social media as a data source. Pioneering studies inferred sleep patterns directly from social media data.
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