Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals
Abstract Aim Assessing symptoms and daily functioning in patients with major depressive disorder (MDD) can be challenging, as their limited self‐monitoring abilities may result in behavior observed during structured interviews not accurately reflecting their daily lives. This study aimed to determin...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | PCN Reports |
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| Online Access: | https://doi.org/10.1002/pcn5.70038 |
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| author | Tomonari Hayasaka Izumi Nagashima Miku Hoshino Koji Teruya Yasuyuki Matumoto Masami Murao Taku Maruki Masako Watanabe Takeshi Katagiri Yayoi Imamura Mariko Kurihara Yuki Oe Yoshikazu Takaesu Takashi Tsuboi Koichiro Watanabe Hitoshi Sakurai |
| author_facet | Tomonari Hayasaka Izumi Nagashima Miku Hoshino Koji Teruya Yasuyuki Matumoto Masami Murao Taku Maruki Masako Watanabe Takeshi Katagiri Yayoi Imamura Mariko Kurihara Yuki Oe Yoshikazu Takaesu Takashi Tsuboi Koichiro Watanabe Hitoshi Sakurai |
| author_sort | Tomonari Hayasaka |
| collection | DOAJ |
| description | Abstract Aim Assessing symptoms and daily functioning in patients with major depressive disorder (MDD) can be challenging, as their limited self‐monitoring abilities may result in behavior observed during structured interviews not accurately reflecting their daily lives. This study aimed to determine if specific occupational behaviors could distinguish individuals with MDD from healthy individuals. Methods Baseline data were collected from medical records and activity programs. Three occupational therapists conducted content analysis to assess occupational performance characteristics. Chi‐squared tests compared the prevalence of these characteristics between patients with MDD and healthy controls. Multivariable logistic regression controlled for potential confounders, with independent variables selected based on clinical relevance and sample size (p < 0.01). Discriminant analysis was used to enhance group differentiation, assessing prediction rates using area under the curve (AUC) values. Results A total of 69 occupational performance characteristics were identified, with 12 showing significant differences between 27 patients with MDD and 43 healthy controls. Key discriminators included “Ask questions and consult” (p < 0.001, odds ratio [OR] = 0.051, 95% confidence interval [CI] = 0.009–0.283), “Concentrate on work” (p = 0.003, OR = 0.078, 95% CI = 0.015–0.416), “Choose simple work” (p = 0.004, OR = 17.803, 95% CI = 2.446–129.597), and “Punctual” (p = 0.017, OR = 0.030, 95% CI = 0.002–0.530). Discriminant analysis using these variables yielded a Wilks' λ of 0.493 (p < 0.001), achieving an 88.6% accuracy rate. The receiver operating characteristic curve's AUC value was 0.911 (sensitivity = 95.3%, specificity = 77.8%). Conclusion This study highlights the importance of occupational performance characteristics in tailoring treatment strategies for MDD, providing insights beyond traditional assessment methods. |
| format | Article |
| id | doaj-art-9c081554b66a4cb6abe79fcebabfa2e7 |
| institution | Kabale University |
| issn | 2769-2558 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | PCN Reports |
| spelling | doaj-art-9c081554b66a4cb6abe79fcebabfa2e72025-01-03T11:15:26ZengWileyPCN Reports2769-25582024-12-0134n/an/a10.1002/pcn5.70038Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individualsTomonari Hayasaka0Izumi Nagashima1Miku Hoshino2Koji Teruya3Yasuyuki Matumoto4Masami Murao5Taku Maruki6Masako Watanabe7Takeshi Katagiri8Yayoi Imamura9Mariko Kurihara10Yuki Oe11Yoshikazu Takaesu12Takashi Tsuboi13Koichiro Watanabe14Hitoshi Sakurai15Department of Rehabilitation Kyorin University Faculty of Health Sciences Tokyo JapanDepartment of Rehabilitation Kyorin University Faculty of Health Sciences Tokyo JapanDepartment of Neuropsychiatry Kyorin University Hospital Tokyo JapanDepartment of Health and Welfare Kyorin University Faculty of Health Sciences Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry, Graduate School of Medicine University of the Ryukyus Okinawa JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanDepartment of Neuropsychiatry Kyorin University Faculty of Medicine Tokyo JapanAbstract Aim Assessing symptoms and daily functioning in patients with major depressive disorder (MDD) can be challenging, as their limited self‐monitoring abilities may result in behavior observed during structured interviews not accurately reflecting their daily lives. This study aimed to determine if specific occupational behaviors could distinguish individuals with MDD from healthy individuals. Methods Baseline data were collected from medical records and activity programs. Three occupational therapists conducted content analysis to assess occupational performance characteristics. Chi‐squared tests compared the prevalence of these characteristics between patients with MDD and healthy controls. Multivariable logistic regression controlled for potential confounders, with independent variables selected based on clinical relevance and sample size (p < 0.01). Discriminant analysis was used to enhance group differentiation, assessing prediction rates using area under the curve (AUC) values. Results A total of 69 occupational performance characteristics were identified, with 12 showing significant differences between 27 patients with MDD and 43 healthy controls. Key discriminators included “Ask questions and consult” (p < 0.001, odds ratio [OR] = 0.051, 95% confidence interval [CI] = 0.009–0.283), “Concentrate on work” (p = 0.003, OR = 0.078, 95% CI = 0.015–0.416), “Choose simple work” (p = 0.004, OR = 17.803, 95% CI = 2.446–129.597), and “Punctual” (p = 0.017, OR = 0.030, 95% CI = 0.002–0.530). Discriminant analysis using these variables yielded a Wilks' λ of 0.493 (p < 0.001), achieving an 88.6% accuracy rate. The receiver operating characteristic curve's AUC value was 0.911 (sensitivity = 95.3%, specificity = 77.8%). Conclusion This study highlights the importance of occupational performance characteristics in tailoring treatment strategies for MDD, providing insights beyond traditional assessment methods.https://doi.org/10.1002/pcn5.70038artistic activitydiscrimination analysishealthymajor depressionoccupational therapy |
| spellingShingle | Tomonari Hayasaka Izumi Nagashima Miku Hoshino Koji Teruya Yasuyuki Matumoto Masami Murao Taku Maruki Masako Watanabe Takeshi Katagiri Yayoi Imamura Mariko Kurihara Yuki Oe Yoshikazu Takaesu Takashi Tsuboi Koichiro Watanabe Hitoshi Sakurai Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals PCN Reports artistic activity discrimination analysis healthy major depression occupational therapy |
| title | Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals |
| title_full | Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals |
| title_fullStr | Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals |
| title_full_unstemmed | Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals |
| title_short | Discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals |
| title_sort | discriminant analysis of occupational performance characteristics in patients with major depressive disorders and healthy individuals |
| topic | artistic activity discrimination analysis healthy major depression occupational therapy |
| url | https://doi.org/10.1002/pcn5.70038 |
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