Accuracy of a Photo-Based Smartphone Application to Assess Salivary Cortisol Sampling Time in Adolescents

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Bibliographic Details
Title: Accuracy of a Photo-Based Smartphone Application to Assess Salivary Cortisol Sampling Time in Adolescents
Language: English
Authors: Fred Wen, Cheng K. (ORCID 0000-0002-2538-0439), Schneider, Stefan, Weigensberg, Marc J., Weerman, Bas, Spruijt-Metz, Donna
Source: Field Methods. Aug 2023 35(3):271-284.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 14
Publication Date: 2023
Sponsoring Agency: National Center for Complementary and Integrative Health (NCCIH) (DHHS/NIH)
Contract Number: R01AT008330
Document Type: Journal Articles
Reports - Research
Education Level: High Schools
Secondary Education
Grade 10
Grade 11
Descriptors: Adolescents, Handheld Devices, Telecommunications, Computer Software, Physiology, Biochemistry, Anxiety, Stress Variables, High School Students, Grade 10, Grade 11, Intervention, Photography, Accuracy, Measurement
DOI: 10.1177/1525822X221141226
ISSN: 1525-822X
1552-3969
Abstract: Accurate assessment of saliva sampling time is essential for studies that collect cortisol sample in ambulatory settings. This study examined the sampling time assessed by user-submitted photos via a mobile application (ZEMI) compared with MEMSCaps™. Intra-class correlation coefficient (ICC) of the time differences between when the 16 adolescents in the study were prompted to collect the sample and (1) when the MEMSCaps™ was opened (Time[subscript M]), and (2) when photos of the corresponding sample were submitted (Time[subscript Z]) was computed to evaluate the agreement of sampling times. The average Time[subscript M] and Time[subscript Z] 12.06 ± 65.80 and 16.13 ± 52.07 minutes, respectively. The pooled ICC between Time[subscript M] and Time[subscript Z] was 0.986 (95% CI: 0.959-0.995), suggesting excellent correspondence between the two measurements.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1383845
Database: ERIC
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