Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study
Jing Yang,1,2,* Dongmei Xu,3,* Huanhuan Lu,4 Xuwen Yin,1 Haiyan Song,1 Weiwei Zong,5 Dandan Xu,5 Xiaohui Lu,5 Lan Wei,5 Hong Zhu,5 Shiyin Zhai,5 Zejuan Gu1 1School of Nursing, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 2Nursing Department, Th...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2025-07-01
|
| Series: | Nature and Science of Sleep |
| Subjects: | |
| Online Access: | https://www.dovepress.com/accuracy-bias-and-factors-influencing-polysomnography-and-consumer-sle-peer-reviewed-fulltext-article-NSS |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849706154221895680 |
|---|---|
| author | Yang J Xu D Lu H Yin X Song H Zong W Xu D Lu X Wei L Zhu H Zhai S Gu Z |
| author_facet | Yang J Xu D Lu H Yin X Song H Zong W Xu D Lu X Wei L Zhu H Zhai S Gu Z |
| author_sort | Yang J |
| collection | DOAJ |
| description | Jing Yang,1,2,&ast; Dongmei Xu,3,&ast; Huanhuan Lu,4 Xuwen Yin,1 Haiyan Song,1 Weiwei Zong,5 Dandan Xu,5 Xiaohui Lu,5 Lan Wei,5 Hong Zhu,5 Shiyin Zhai,5 Zejuan Gu1 1School of Nursing, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 2Nursing Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 3Rheumatology and Immunology Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 4School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China; 5Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zejuan Gu, School of Nursing, Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China, Email jassicagu@163.comObjective: The Huawei Band 9 (HWB 9), a consumer sleep-monitoring device with a high market share and a large user base in China, can provide sleep staging parameters and has broad representativeness in sleep monitoring applications. This study aims to compare the accuracy bias of polysomnography (PSG) and consumer sleep-monitoring devices, specifically the HWB 9, in measuring total sleep time (TST) and explore the factors affecting accuracy bias.Methods: This study employed a sequential explanatory mixed-methods design, with quantitative research comprising 108 samples and qualitative research comprising 18 samples. Select hospitalized patients who required polysomnographic monitoring due to their condition from November 2024 to March 2025 were chosen as the research subjects, and who used PSG and HWB 9 for synchronous sleep monitoring throughout the night. Quantitative data analysis was conducted using descriptive statistics, the Wilcoxon test, Bland-Altman plots, univariate analysis, and multiple linear regression analysis. Qualitative content data were analyzed using NVivo 14.0 software.Results: The statistical analysis showed a significant difference (P < 0.05) between the HWB 9 and PSG in measuring TST. The Bland-Altman plot showed that the measured values deviated from the consistency interval, indicating systematic overestimation bias. The multiple linear regression analysis showed that turning frequency and sleep posture were significant factors affecting measurement bias. Two main themes were found in the qualitative research: sleep habits and environmental factors, and individual differences and psychological perceptions.Conclusion: Considering the significant variations in individuals, data from such devices should be used with caution in clinical practice.Keywords: PSG, consumer sleep-monitoring devices, TST, accuracy bias, influencing factors, mixed-methods |
| format | Article |
| id | doaj-art-4f586644c83f4648b044e35239347535 |
| institution | DOAJ |
| issn | 1179-1608 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Nature and Science of Sleep |
| spelling | doaj-art-4f586644c83f4648b044e352393475352025-08-20T03:16:16ZengDove Medical PressNature and Science of Sleep1179-16082025-07-01Volume 17Issue 117571768105285Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods StudyYang JXu DLu HYin XSong HZong WXu DLu XWei LZhu HZhai SGu Z0School of Nursing; Department of NursingJing Yang,1,2,&ast; Dongmei Xu,3,&ast; Huanhuan Lu,4 Xuwen Yin,1 Haiyan Song,1 Weiwei Zong,5 Dandan Xu,5 Xiaohui Lu,5 Lan Wei,5 Hong Zhu,5 Shiyin Zhai,5 Zejuan Gu1 1School of Nursing, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 2Nursing Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 3Rheumatology and Immunology Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 4School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China; 5Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zejuan Gu, School of Nursing, Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China, Email jassicagu@163.comObjective: The Huawei Band 9 (HWB 9), a consumer sleep-monitoring device with a high market share and a large user base in China, can provide sleep staging parameters and has broad representativeness in sleep monitoring applications. This study aims to compare the accuracy bias of polysomnography (PSG) and consumer sleep-monitoring devices, specifically the HWB 9, in measuring total sleep time (TST) and explore the factors affecting accuracy bias.Methods: This study employed a sequential explanatory mixed-methods design, with quantitative research comprising 108 samples and qualitative research comprising 18 samples. Select hospitalized patients who required polysomnographic monitoring due to their condition from November 2024 to March 2025 were chosen as the research subjects, and who used PSG and HWB 9 for synchronous sleep monitoring throughout the night. Quantitative data analysis was conducted using descriptive statistics, the Wilcoxon test, Bland-Altman plots, univariate analysis, and multiple linear regression analysis. Qualitative content data were analyzed using NVivo 14.0 software.Results: The statistical analysis showed a significant difference (P < 0.05) between the HWB 9 and PSG in measuring TST. The Bland-Altman plot showed that the measured values deviated from the consistency interval, indicating systematic overestimation bias. The multiple linear regression analysis showed that turning frequency and sleep posture were significant factors affecting measurement bias. Two main themes were found in the qualitative research: sleep habits and environmental factors, and individual differences and psychological perceptions.Conclusion: Considering the significant variations in individuals, data from such devices should be used with caution in clinical practice.Keywords: PSG, consumer sleep-monitoring devices, TST, accuracy bias, influencing factors, mixed-methodshttps://www.dovepress.com/accuracy-bias-and-factors-influencing-polysomnography-and-consumer-sle-peer-reviewed-fulltext-article-NSSPSGconsumer sleep-monitoring devicesTSTaccuracy biasinfluencing factorsmixed-methods |
| spellingShingle | Yang J Xu D Lu H Yin X Song H Zong W Xu D Lu X Wei L Zhu H Zhai S Gu Z Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study Nature and Science of Sleep PSG consumer sleep-monitoring devices TST accuracy bias influencing factors mixed-methods |
| title | Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study |
| title_full | Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study |
| title_fullStr | Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study |
| title_full_unstemmed | Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study |
| title_short | Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study |
| title_sort | accuracy bias and factors influencing polysomnography and consumer sleep monitoring device measuring of total sleep time a mixed methods study |
| topic | PSG consumer sleep-monitoring devices TST accuracy bias influencing factors mixed-methods |
| url | https://www.dovepress.com/accuracy-bias-and-factors-influencing-polysomnography-and-consumer-sle-peer-reviewed-fulltext-article-NSS |
| work_keys_str_mv | AT yangj accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT xud accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT luh accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT yinx accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT songh accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT zongw accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT xud accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT lux accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT weil accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT zhuh accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT zhais accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy AT guz accuracybiasandfactorsinfluencingpolysomnographyandconsumersleepmonitoringdevicemeasuringoftotalsleeptimeamixedmethodsstudy |