Cargando…
Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health
INTRODUCTION: Decades of research have shown that affect, emotions and moods, significantly impact all aspects of health behaviors. This research utilized a novel digital analogue technology (Morphii) to assess eight affective domains: stress, anxiety, loneliness, irritability, depression, pain, ene...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470465/ http://dx.doi.org/10.1192/j.eurpsy.2021.354 |
_version_ | 1784788850675023872 |
---|---|
author | Milanak, M. Sullivan, B. |
author_facet | Milanak, M. Sullivan, B. |
author_sort | Milanak, M. |
collection | PubMed |
description | INTRODUCTION: Decades of research have shown that affect, emotions and moods, significantly impact all aspects of health behaviors. This research utilized a novel digital analogue technology (Morphii) to assess eight affective domains: stress, anxiety, loneliness, irritability, depression, pain, energy and overall feelings of wellness. OBJECTIVES: To demonstrate the feasibility of use and strength of relationship/comparison to validated measures. METHODS: A U.S. census-based sample of adults ages 18-80 (n=985) completed online assessments including the 8 Morphii’s and additional comparative mental/behavioral health assessments (PSS-4, GAD-7, UCLA Loneliness Scale V3, BITe, PHQ-8 & PHQ-2, P4 Pain Scale, WHO-5, CFQ-11, ESS, and Vitality Subscale SF-36) via the Prolific Academic online platform and were compensated nominally for their participation. The resulting sample was 51.6% female and 74.2% White. RESULTS: Each Morphii was compared with the common corresponding industry assessment (e.g., Depression Morphii with PHQ) resulting in Pearson correlations ranging from -.519 to .761, with 6 of the 8 showing correlations above .700. Pearson correlations between dysfunction and each of the 8 Morphiis were significant at the p < .000 level, ranging from a low of .421 (Loneliness) to a high of .607 (Depression). Internal reliability was very good (Cronbach’s Alpha = .862). Respondents who expressed an assessment modality preference (55.2%) chose the Morphii type over traditional assessment format at a 2.5:1 ratio. CONCLUSIONS: Morphii provides a reliable and valid assessment option with the ability to obtain a comprehensive (8 domains at once), efficient (less than 60 second administration), assessment with increased patient/client preference and engagement. DISCLOSURE: Milanak - submitting author - I serve on the advisory board for ADoH Scientific to consult on scientific research of Morphii development. To date, I have not been paid any money for this advisory role. |
format | Online Article Text |
id | pubmed-9470465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94704652022-09-29 Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health Milanak, M. Sullivan, B. Eur Psychiatry Abstract INTRODUCTION: Decades of research have shown that affect, emotions and moods, significantly impact all aspects of health behaviors. This research utilized a novel digital analogue technology (Morphii) to assess eight affective domains: stress, anxiety, loneliness, irritability, depression, pain, energy and overall feelings of wellness. OBJECTIVES: To demonstrate the feasibility of use and strength of relationship/comparison to validated measures. METHODS: A U.S. census-based sample of adults ages 18-80 (n=985) completed online assessments including the 8 Morphii’s and additional comparative mental/behavioral health assessments (PSS-4, GAD-7, UCLA Loneliness Scale V3, BITe, PHQ-8 & PHQ-2, P4 Pain Scale, WHO-5, CFQ-11, ESS, and Vitality Subscale SF-36) via the Prolific Academic online platform and were compensated nominally for their participation. The resulting sample was 51.6% female and 74.2% White. RESULTS: Each Morphii was compared with the common corresponding industry assessment (e.g., Depression Morphii with PHQ) resulting in Pearson correlations ranging from -.519 to .761, with 6 of the 8 showing correlations above .700. Pearson correlations between dysfunction and each of the 8 Morphiis were significant at the p < .000 level, ranging from a low of .421 (Loneliness) to a high of .607 (Depression). Internal reliability was very good (Cronbach’s Alpha = .862). Respondents who expressed an assessment modality preference (55.2%) chose the Morphii type over traditional assessment format at a 2.5:1 ratio. CONCLUSIONS: Morphii provides a reliable and valid assessment option with the ability to obtain a comprehensive (8 domains at once), efficient (less than 60 second administration), assessment with increased patient/client preference and engagement. DISCLOSURE: Milanak - submitting author - I serve on the advisory board for ADoH Scientific to consult on scientific research of Morphii development. To date, I have not been paid any money for this advisory role. Cambridge University Press 2021-08-13 /pmc/articles/PMC9470465/ http://dx.doi.org/10.1192/j.eurpsy.2021.354 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Milanak, M. Sullivan, B. Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health |
title | Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health |
title_full | Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health |
title_fullStr | Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health |
title_full_unstemmed | Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health |
title_short | Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health |
title_sort | utilizing a novel digital affect mirror, morphii, to assess affective determinants of health |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470465/ http://dx.doi.org/10.1192/j.eurpsy.2021.354 |
work_keys_str_mv | AT milanakm utilizinganoveldigitalaffectmirrormorphiitoassessaffectivedeterminantsofhealth AT sullivanb utilizinganoveldigitalaffectmirrormorphiitoassessaffectivedeterminantsofhealth |