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Damme KSF, Vargas TG, Walther S, Shankman SA, Mittal VA. Physical and mental health in adolescence: novel insights from a transdiagnostic examination of FitBit data in the ABCD study. Transl Psychiatry 2024; 14:75. [PMID: 38307840 PMCID: PMC10837202 DOI: 10.1038/s41398-024-02794-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/04/2024] Open
Abstract
Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10-13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of psychosis-like experiences (PLE), internalizing symptoms, and externalizing symptoms. Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t = -2.69) and internalizing (t = -6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.
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Affiliation(s)
- Katherine S F Damme
- Department of Psychology, Northwestern University, Evanston, IL, USA.
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA.
| | - Teresa G Vargas
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Sebastian Walther
- University of Bern, University Hospital of Psychiatry, Translational Research Center, Bern, Switzerland
| | | | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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Damme K, Vargas T, Walther S, Shankman S, Mittal V. Physical and Mental Health in Adolescence: Novel Insights from a transdiagnostic examination of FitBit data in the ABCD Study. RESEARCH SQUARE 2023:rs.3.rs-3270112. [PMID: 37886441 PMCID: PMC10602093 DOI: 10.21203/rs.3.rs-3270112/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10 to 13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of internalizing symptoms, externalizing symptoms, and psychosis-like experiences - PLE). Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t=-2.69) and internalizing (t=-6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.
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Hartson KR, Huntington-Moskos L, Sears CG, Genova G, Mathis C, Ford W, Rhodes RE. Use of Electronic Ecological Momentary Assessment Methodologies in Physical Activity, Sedentary Behavior, and Sleep Research in Young Adults: Systematic Review. J Med Internet Res 2023; 25:e46783. [PMID: 37384367 PMCID: PMC10365632 DOI: 10.2196/46783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/15/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Recent technological advances allow for the repeated sampling of real-time data in natural settings using electronic ecological momentary assessment (eEMA). These advances are particularly meaningful for investigating physical activity, sedentary behavior, and sleep in young adults who are in a critical life stage for the development of healthy lifestyle behaviors. OBJECTIVE This study aims to describe the use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults. METHODS The PubMed, CINAHL, PsycINFO, Embase, and Web of Science electronic databases were searched through August 2022. Inclusion criteria were use of eEMA; sample of young adults aged 18 to 25 years; at least 1 measurement of physical activity, sedentary behavior, or sleep; English language; and a peer-reviewed report of original research. Study reports were excluded if they were abstracts, protocols, or reviews. The risk of bias assessment was conducted using the National Heart, Lung, and Blood Institute's Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Screening, data extraction, and risk of bias assessments were conducted by independent authors, with discrepancies resolved by consensus. Descriptive statistics and narrative synthesis were used to identify overarching patterns within the following categories guided by the Checklist for Reporting Ecological Momentary Assessments Studies: study characteristics, outcomes and measures, eEMA procedures, and compliance. RESULTS The search resulted in 1221 citations with a final sample of 37 reports describing 35 unique studies. Most reports (28/37, 76%) were published in the last 5 years (2017-2022), used observational designs (35/37, 95%), consisted of samples of college students or apprentices (28/35, 80%), and were conducted in the United States (22/37, 60%). The sample sizes ranged from 14 to 1584 young adults. Physical activity was measured more frequently (28/37, 76%) than sleep (16/37, 43%) or sedentary behavior (4/37, 11%). Of the 37 studies, 11 (30%) reports included 2 movement behaviors and no reports included 3 movement behaviors. eEMA was frequently used to measure potential correlates of movement behaviors, such as emotional states or feelings (25/37, 68%), cognitive processes (7/37, 19%), and contextual factors (9/37, 24%). There was wide variability in the implementation and reporting of eEMA procedures, measures, missing data, analysis, and compliance. CONCLUSIONS The use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults has greatly increased in recent years; however, reports continue to lack standardized reporting of features unique to the eEMA methodology. Additional areas in need of future research include the use of eEMA with more diverse populations and the incorporation of all 3 movement behaviors within a 24-hour period. The findings are intended to assist investigators in the design, implementation, and reporting of physical activity, sedentary behavior, and sleep research using eEMA in young adults. TRIAL REGISTRATION PROSPERO CRD42021279156; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021279156.
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Affiliation(s)
- Kimberly R Hartson
- School of Nursing, University of Louisville, Louisville, KY, United States
| | | | - Clara G Sears
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, United States
| | - Gina Genova
- Kornhauser Health Sciences Library, University of Louisville, Louisville, KY, United States
| | - Cara Mathis
- School of Nursing, University of Louisville, Louisville, KY, United States
| | - Wessly Ford
- School of Nursing, University of Louisville, Louisville, KY, United States
| | - Ryan E Rhodes
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
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Strauss GP, Raugh IM, Zhang L, Luther L, Chapman HC, Allen DN, Kirkpatrick B, Cohen AS. Validation of accelerometry as a digital phenotyping measure of negative symptoms in schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:37. [PMID: 35853890 PMCID: PMC9261099 DOI: 10.1038/s41537-022-00241-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 02/24/2022] [Indexed: 05/05/2023]
Abstract
Negative symptoms are commonly assessed via clinical rating scales; however, these measures have several inherent limitations that impact validity and utility for their use in clinical trials. Objective digital phenotyping measures that overcome some of these limitations are now available. The current study evaluated the validity of accelerometry (ACL), a passive digital phenotyping method that involves collecting data on the presence, vigor, and variability of movement. Outpatients with schizophrenia (SZ: n = 50) and demographically matched healthy controls (CN: n = 70) had ACL continuously recorded from a smartphone and smartband for 6 days. Active digital phenotyping assessments, including surveys related to activity context, were also collected via 8 daily surveys throughout the 6 day period. SZ participants had lower scores on phone ACL variables reflecting vigor and variability of movement compared to CN. ACL variables demonstrated convergent validity as indicated by significant correlations with active digital phenotyping self-reports of time spent in goal-directed activities and clinical ratings of negative symptoms. The discriminant validity of ACL was demonstrated by low correlations with clinical rating scale measures of positive, disorganized, and total symptoms. Collectively, findings suggest that ACL is a valid objective measure of negative symptoms that may complement traditional approaches to assessing the construct using clinical rating scales.
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Affiliation(s)
| | - Ian M Raugh
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Luyu Zhang
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Lauren Luther
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Hannah C Chapman
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Daniel N Allen
- Department of Psychology, University of Nevada, Las Vegas, NV, USA
| | - Brian Kirkpatrick
- Department of Psychiatry and Behavioral Sciences, University of Nevada, Reno School of Medicine, Las Vegas, NV, USA
| | - Alex S Cohen
- Department of Psychology, Louisiana State University, Baton Rouge, LA, USA
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Pape LM, Adriaanse MC, Kol J, van Straten A, van Meijel B. Patient-reported outcomes of lifestyle interventions in patients with severe mental illness: a systematic review and meta-analysis. BMC Psychiatry 2022; 22:261. [PMID: 35418082 PMCID: PMC9006587 DOI: 10.1186/s12888-022-03854-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 03/11/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Lifestyle interventions for severe mental illness (SMI) are known to have small to modest effect on physical health outcomes. Little attention has been given to patient-reported outcomes (PROs). AIM To systematically review the use of PROs and their measures, and quantify the effects of lifestyle interventions in patients with SMI on these PROs. METHODS Five electronic databases were searched (PubMed/Medline, Embase, PsycINFO, CINAHL, and Web of Science) from inception until 12 November 2020 (PROSPERO: CRD42020212135). Randomised controlled trials (RCTs) evaluating the efficacy of lifestyle interventions focusing on healthy diet, physical activity, or both for patients with SMI were included. Outcomes of interest were PROs. RESULTS A total of 11.267 unique records were identified from the database search, 66 full-text articles were assessed, and 36 RCTs were included, of which 21 were suitable for meta-analyses. In total, 5.907 participants were included across studies. Lifestyle interventions had no significant effect on quality of life (g = 0.13; 95% CI = - 0.02 to 0.27), with high heterogeneity (I2 = 68.7%). We found a small effect on depression severity (g = 0.30, 95% CI = 0.00 to 0.58, I2 = 65.2%) and a moderate effect on anxiety severity (g = 0.56, 95% CI = 0.16 to 0.95, I2 = 0%). DISCUSSION This meta-analysis quantifies the effects of lifestyle interventions on PROs. Lifestyle interventions have no significant effect on quality of life, yet they could improve mental health outcomes such as depression and anxiety symptoms. Further use of patient-reported outcome measures in lifestyle research is recommended to fully capture the impact of lifestyle interventions.
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Affiliation(s)
- Laura M. Pape
- grid.12380.380000 0004 1754 9227Department of Health Sciences, Faculty of Science & Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Marcel C. Adriaanse
- grid.12380.380000 0004 1754 9227Department of Health Sciences, Faculty of Science & Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jelle Kol
- grid.12380.380000 0004 1754 9227Department of Health Sciences, Faculty of Science & Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Annemieke van Straten
- grid.12380.380000 0004 1754 9227Department of Clinical, Neuro- and Developmental Psychology & Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Berno van Meijel
- grid.448984.d0000 0003 9872 5642Department of Health, Sports & Welfare, Research Group Mental Health Nursing, Inholland University of Applied Sciences, Amsterdam, The Netherlands ,grid.16872.3a0000 0004 0435 165XAmsterdam UMC (VUmc). Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,grid.476585.d0000 0004 0447 7260Parnassia Psychiatric Institute, Parnassia Academy, The Hague, The Netherlands
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Dinzeo TJ, Thayasivam U. Schizotypy, Lifestyle Behaviors, and Health Indicators in a Young Adult Sample. Behav Sci (Basel) 2021; 11:179. [PMID: 34940114 PMCID: PMC8698323 DOI: 10.3390/bs11120179] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/29/2021] [Accepted: 12/09/2021] [Indexed: 01/14/2023] Open
Abstract
Problematic lifestyle behaviors and high rates of physical illness are well documented in people with schizophrenia, contributing to premature mortality. Yet, there is a notable absence of research examining general lifestyle and health issues in participants at risk for psychosis. This form of research may help identify concerns that exist during prodromal periods related to future outcomes. Accordingly, the current study examined lifestyle and health in a nonclinical sample of 530 young adults with varying levels of schizotypy. Increasing symptom severity was associated with greater somatic symptoms and poorer sleep quality across positive, negative, and disorganized domains. Elevated negative and disorganized symptoms were associated with significantly reduced health-related quality of life, while evidence for reduced engagement in health behaviors was largely limited to those with elevated negative schizotypy. No relationships emerged between symptom presentation/severity and body mass index or substance use, although zero-order correlations suggested an association between disorganized schizotypy and nicotine use. The pattern of relationships in the current study was consistent with findings from the ultra-high risk and clinical literature suggesting that lifestyle and health concerns may exist on a continuum with psychosis. Future research should seek to clarify if these patterns are associated with long-term physical or mental health outcomes.
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Affiliation(s)
- Thomas J. Dinzeo
- Department of Psychology, Rowan University, Glassboro, NJ 08028, USA
| | - Uma Thayasivam
- Department of Mathematics, Rowan University, Glassboro, NJ 08028, USA;
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Abel DB, Minor KS. Social functioning in schizophrenia: Comparing laboratory-based assessment with real-world measures. J Psychiatr Res 2021; 138:500-506. [PMID: 33971484 PMCID: PMC8192459 DOI: 10.1016/j.jpsychires.2021.04.039] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/19/2021] [Accepted: 04/25/2021] [Indexed: 02/06/2023]
Abstract
Researchers have measured social functioning in schizophrenia using many different strategies. Recent technological advances have made it possible to passively measure behaviors in real-world social situations-allowing for more objective, ecologically valid assessments. Yet, research testing the convergent validity among real-world and laboratory-based social functioning assessment is sparse. The purpose of this study was to test the convergent validity among four social functioning measures: two interview-based rating scales, a self-reported ecological momentary assessment (EMA), and a passive, ambulatory ecological assessment. Data was collected from 36 people with schizophrenia and 33 control participants. Across the entire sample, relationships between interview-based ratings and real-world measures of social functioning only demonstrated small correlations (r's = 0.17-0.19), whereas real-world measures exhibited moderate correlations with one another (r = 0.36). Within groups, real-world measures showed moderate, significant relationships in the control group (r = 0.44) but not in the schizophrenia group (r = 0.27). For those with schizophrenia, the interview-based measures of social functioning were moderately associated with ambulatory ecological assessment (r's = 0.38 and 0.47), but only small associations were observed with self-reported EMA (r's = 0.15 and 0.17). Results suggest social functioning assessments are not highly convergent and likely target different aspects of social functioning. Laboratory-based measures offer global impressions of social functioning whereas real-world measures represent a more nuanced approach. Moreover, ambulatory ecological assessment may most accurately gauge frequency of daily social interactions for those with schizophrenia as it circumvents common pitfalls of self-report and offers a less-biased, in-depth evaluation of social behavior.
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Affiliation(s)
- Danielle B. Abel
- Department of Psychology, Indiana University – Purdue University Indianapolis, LD 124, 402 N Blackford St, Indianapolis, IN, USA 46202
| | - Kyle S. Minor
- Department of Psychology, Indiana University – Purdue University Indianapolis, LD 124, 402 N Blackford St, Indianapolis, IN, USA 46202
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Damme KSF, Sloan RP, Bartels MN, Ozsan A, Ospina LH, Kimhy D, Mittal VA. Psychosis risk individuals show poor fitness and discrepancies with objective and subjective measures. Sci Rep 2021; 11:9851. [PMID: 33972634 PMCID: PMC8110757 DOI: 10.1038/s41598-021-89301-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 04/20/2021] [Indexed: 11/25/2022] Open
Abstract
Exercise is a promising intervention for individuals at clinical high-risk for psychosis (CHR). However, these youth may not be reliable reporters on fitness. There have been no investigations that utilized objective fitness assessment in this population. The present study objectively characterizes the level of fitness in CHR youth, compares the accuracy of self-report measures to objective fitness indices, and explores clinical factors that may influence the accuracy of self-reported measures of fitness. Forty CHR individuals completed an exercise survey and objective indices of fitness (i.e., VO2max and BMI). Forty healthy volunteers completed objective indices of fitness and a structured clinical interview ruling out the presence of psychiatric illness. CHR youth showed greater BMI and lowered VO2max compared to healthy volunteers. In the CHR group, self-report items (perceived fitness) did not reflect objective indices of fitness, whereas specific exercise behaviors (intensity of exercise) showed stronger correlations with objective fitness measurements. Exploratory analyses suggested that symptoms (grandiosity and avolition) related to errors in self-perception. Results indicate that CHR individuals are less fit than controls as indexed by objective measures of fitness and that it is important to consider unique population clinical characteristics when employing self-report data.
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Affiliation(s)
- Katherine S F Damme
- Department of Psychology, Northwestern University, 2029 Sheridan Rd., Evanston, IL, 60208, USA.
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA.
| | - Richard P Sloan
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Matthew N Bartels
- Department of Rehabilitation Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Rehabilitation Medicine, Montefiore Medical Center, New York, NY, USA
| | - Alara Ozsan
- Department of Psychology, Northwestern University, 2029 Sheridan Rd., Evanston, IL, 60208, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
| | - Luz H Ospina
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Kimhy
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- MIRECC, The James J. Peters VA Medical Center, Bronx, NY, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, 2029 Sheridan Rd., Evanston, IL, 60208, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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Current Evidence of Measurement Properties of Physical Activity Questionnaires for Older Adults: An Updated Systematic Review. Sports Med 2021; 50:1271-1315. [PMID: 32125670 PMCID: PMC7305082 DOI: 10.1007/s40279-020-01268-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Questionnaires provide valuable information about physical activity (PA) behaviors in older adults. Until now, no firm recommendations for the most qualified questionnaires for older adults have been provided. OBJECTIVES This review is an update of a previous systematic review, published in 2010, and aims to summarize, appraise and compare the measurement properties of all available self-administered questionnaires assessing PA in older adults. METHODS We included the articles evaluated in the previous review and conducted a new search in PubMed, Embase, and SPORTDiscus from September 2008 to December 2019, using the following inclusion criteria (1) the purpose of the study was to evaluate at least one measurement property (reliability, measurement error, hypothesis testing for construct validity, responsiveness) of a self-administered questionnaire; (2) the questionnaire intended to measure PA; (3) the questionnaire covered at least one domain of PA; (4) the study was performed in the general, healthy population of older adults; (5) the mean age of the study population was > 55 years; and (6) the article was published in English. Based on the Quality Assessment of Physical Activity Questionnaires (QAPAQ) checklist, we evaluated the quality and results of the studies. The content validity of all included questionnaires was also evaluated using the reviewers' rating. The quality of the body of evidence was evaluated for the overall construct of each questionnaire (e.g., total PA), moderate-to-vigorous physical activity (MVPA) and walking using a modified Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) approach. RESULTS In total, 56 articles on 40 different questionnaires (14 from the previous review and 26 from the update) were included. Reliability was assessed for 22, measurement error for four and hypotheses testing for construct validity for 38 different questionnaires. Evidence for responsiveness was available for one questionnaire. For many questionnaires, only one measurement property was assessed in only a single study. Sufficient content validity was considered for 22 questionnaires. All questionnaires displayed large measurement errors. Only versions of two questionnaires showed both sufficient reliability and hypotheses testing for construct validity, namely the Physical Activity Scale for the Elderly (PASE; English version, Turkish version) for the assessment of total PA, and the Physical Activity and Sedentary Behavior Questionnaire (PASB-Q; English version) for the assessment of MVPA. The quality of evidence for these results ranged from very low to high. CONCLUSIONS Until more high-quality evidence is available, we recommend the PASE for measuring total PA and the PASB-Q for measuring MVPA in older adults. However, they are not equally qualified among different languages. Future studies on the most promising questionnaires should cover all relevant measurement properties. We recommend using and improving existing PA questionnaires-instead of developing new ones-and considering the strengths and weaknesses of each PA measurement instrument for a particular purpose.
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Reliability and Convergent Validity of Self-Reported Physical Activity Questionnaires for People With Mental Disorders: A Systematic Review and Meta-Analysis. J Phys Act Health 2020; 18:109-115. [PMID: 33260145 DOI: 10.1123/jpah.2020-0312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 09/09/2020] [Accepted: 10/04/2020] [Indexed: 11/18/2022]
Abstract
PURPOSE To examine the reliability and convergent validity of self-reported questionnaires (SRQs) to measure physical activity (PA). METHODS Systematic review with meta-analysis. The validity and reliability of SRQs to assess PA in people with mental disorders (January 20, 2020). Random-effects meta-analyses were performed pooling (1) test-retest correlations or (2) the convergent validity between the SRQs and objective measures (eg, accelerometry). Associations were provided in r values with the 95% confidence interval. Methodological quality was assessed. RESULTS A total of 9 unique studies (N = 1344; 40.5% females) were included. The authors found a moderate correlation test-retest reliability for PA SRQs in the assessment of vigorous PA (r = .69 [.38 to .85]; P = .001), moderate to vigorous PA (r = .63 [.25 to .84]; P = .003), moderate PA (r = .63 [.39 to .79]; P = .001), and good correlation total PA (r = .75 [.37 to .92]; P = .001). The SRQs have moderate correlations with objective measures for moderate to vigorous PA (r = .25 [.18 to .32]; P = .0001) and total PA (r = .47 [.28 to .62]; P = .005), a poor correlation for moderate PA (r = .18 [.03 to .36]; P = .047), and no correlation with vigorous PA (r = .06 [-.10 to .22]; P = .440). CONCLUSION Current evidence indicates that SRQs are reliable over time to assess moderate, vigorous, and total PA levels and valid when assessing moderate PA.
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DeLuca JS, Andorko ND, Chibani D, Jay SY, Rakhshan Rouhakhtar PJ, Petti E, Klaunig MJ, Thompson EC, Millman ZB, Connors KM, Akouri-Shan L, Fitzgerald J, Redman SL, Roemer C, Bridgwater MA, DeVylder JE, King CA, Pitts SC, Reinblatt SP, Wehring HJ, Bussell KL, Solomon N, Edwards SM, Reeves GM, Buchanan RW, Schiffman J. Telepsychotherapy with Youth at Clinical High Risk for Psychosis: Clinical Issues and Best Practices during the COVID-19 Pandemic. JOURNAL OF PSYCHOTHERAPY INTEGRATION 2020; 30:304-331. [PMID: 34305369 PMCID: PMC8297958 DOI: 10.1037/int0000211] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Early detection and prevention of psychosis has become an international priority. Much of this work has focused on youth presenting with attenuated symptoms of psychosis-those at Clinical High Risk for psychosis (CHR)-given their elevated probability of developing the full disorder in subsequent years. Individuals at CHR may be prone to exacerbated psychological distress during the COVID-19 pandemic and its subsequent physical isolation measures, due to heightened stress sensitivity and comorbid mental health problems. Telepsychotherapy holds promise for reaching this population, especially during the current COVID-19 outbreak. However, there are limited evidence-based guidelines or interventions for use of telepsychotherapy with this population. In this paper, we review common clinical issues for individuals at CHR and how they might be exacerbated by the COVID-19 pandemic; best practices for treatment and adaptations for telepsychotherapy for individuals at CHR; and highlight real clinical issues that we are currently experiencing in a United States-based specialized CHR clinic as we conduct telepsychotherapy via videoconferencing. We conclude with questions for those in the field to contemplate, as well as potential challenges and benefits in using telepsychotherapy with individuals at CHR and their families.
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Affiliation(s)
- Joseph S. DeLuca
- University of Maryland School of Medicine, Department of Psychiatry, Division of Child and Adolescent Psychiatry, Baltimore, MD
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Nicole D. Andorko
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Doha Chibani
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Samantha Y. Jay
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | | | - Emily Petti
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Mallory J. Klaunig
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Elizabeth C. Thompson
- Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI
| | | | - Kathleen M. Connors
- University of Maryland School of Medicine, Department of Psychiatry, Division of Child and Adolescent Psychiatry, Baltimore, MD
| | - LeeAnn Akouri-Shan
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - John Fitzgerald
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Samantha L. Redman
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Caroline Roemer
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | | | | | - Cheryl A. King
- University of Michigan, Departments of Psychiatry and Psychology, Ann Arbor, MI
| | - Steven C. Pitts
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
| | - Shauna P. Reinblatt
- University of Maryland School of Medicine, Department of Psychiatry, Division of Child and Adolescent Psychiatry, Baltimore, MD
| | - Heidi J. Wehring
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD
| | | | - Natalee Solomon
- Maryland Department of Health, Behavioral Health Administration, Transition-Aged Youth and Young Adult Services, Baltimore, MD
| | - Sarah M. Edwards
- University of Maryland School of Medicine, Department of Psychiatry, Division of Child and Adolescent Psychiatry, Baltimore, MD
| | - Gloria M. Reeves
- University of Maryland School of Medicine, Department of Psychiatry, Division of Child and Adolescent Psychiatry, Baltimore, MD
| | - Robert W. Buchanan
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD
| | - Jason Schiffman
- University of Maryland, Baltimore County, Department of Psychology, Baltimore, MD
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