Determination of the optimal cutoff point for the suboptimal health status questionnaire: a latent profile analysis

This study determined an optimal cutoff point of 44 for the SHSQ-25, enhancing its utility in identifying individuals with suboptimal health. These findings have implications for clinical practice, public health interventions, and future research endeavors aimed at improving the identification, understanding, and management of suboptimal health.

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Publication Details

Journal
BMC Public Health
Published
2025-03-17
DOI
https://doi.org/10.1186/s12889-025-22226-0
Citations
2
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
2.78
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article

Determination of the optimal cutoff point for the suboptimal health status questionnaire: a latent profile analysis

Guang Lei Fu, Mio Leng Au, Yue Yi Li, Yong Bing Liu et al.
2 citations
BMC Public Health
Cardiovascular Health and Risk Factors
2.78
article

Determination of the optimal cutoff point for the suboptimal health status questionnaire: a latent profile analysis

Guang Lei Fu, Mio Leng Au, Yue Yi Li, Yong Bing Liu, Lai Kun Tong, Mu Rui Zheng
article en
2 citations

Abstract

This study determined an optimal cutoff point of 44 for the SHSQ-25, enhancing its utility in identifying individuals with suboptimal health. These findings have implications for clinical practice, public health interventions, and future research endeavors aimed at improving the identification, understanding, and management of suboptimal health.

BMC Public HealthVol. 25(1)
University of Macau (MO), Kiang Wu Nursing College of Macau (CN), First Affiliated Hospital of Jinan University (CN), Yangzhou University (CN)
Openalex Percentile: Top 11%
Cardiovascular Health and Risk Factors
2.78
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