Abstract

Background: Depression symptoms are a mental health problem with rising prevalence globally. To enhance the estimation of depressive symptoms in epidemiological studies, a 9-item Patient Health Questionnaire (PHQ-9) has been widely used. Some local research found that a single-item General Happiness Index (GHI) highly correlated with the scales used for screening the depressive symptoms. This study hence aimed to explore the sensitivity and specificity of GHI for screening mild or more severe depressive symptoms based on the secondary data analysis in the Chinese population.

Methods: This methodological study used the data collected in the General Happiness Survey 2024 and 2025 in Hong Kong (Lam et al., 2025). Demographics, GHI (0-10) and PHQ-9 (0-27) were available in the collected data. Pearson correlation analysis was used to indicate the relationship between GHI and PHQ-9. To identify the optimal sensitivity and specificity, receiver operator characteristic (ROC) curves were used to identify the best cutoff value of the GHI for mild depressive symptoms measured by PHQ-9 (score > 5).

Results: Of those 1,093 samples (from 2024 data) and 2,072 samples (from 2025 data) with about 68.0-70.2% females were included in the analysis. The age range of 35-44 years old participants (30.5-35.5%) accounted for the largest sample. The mean of GHI was 5.60-5.95, while that of PHQ-9 was 9.06-11.4 (SD 6.6-6.8).
A total of 904 (from 2024 data) and 647 participants (from 2025 data) was identified as mild or more severe depressive symptoms. GHI consistently, significantly and negatively correlated with PHQ-9 (r = -0.494 to -0.468, p<0.001). Based on the ROC analysis, an optimal cutoff value of GHI was 7 or less with sensitivity 65.3-68.0% and specificity 68.6-81.0% for identifying mild or more severe depressive symptoms. The Area Under the Curve was 74.0-79.2%.

Conclusion: The cutoff value of 7 of a single item GHI was recommended to screen the mild or more severe depressive symptoms with acceptable sensitivity and specificity. However, it is of caution that the reproducibility of the similar results may not be secured.

Notes

References:

Lam, S. C., Chan, S., Tsui, K. Y., & Odetayo, A. (2025). General happiness index of a repeated cross-sectional survey among the general population from 2018 to 2024 in Hong Kong: A data note. BMC Research Notes, 18(1), 1-4. https://doi.org/10.1186/s13104-025-07399-6

Additional references listed in attached slide deck.

Description

Depressive symptoms screening study in Hong Kong analyzed a single-item General Happiness Index (GHI; 0–10) vs a 9-item Patient Health Questionnaire (PHQ-9; 0–27) using 2024–2025 survey data (n=3,165). GHI negatively correlated with PHQ-9 (r≈-0.47, p<0.001). ROC curves analysis showed GHI ≤7 best identified mild or worse depressive symptoms (PHQ-9 > 5) with sensitivity 65–68%, specificity 69–81%, AUC 74–79%. GHI cutoff of 7 is recommended, though reproducibility remains uncertain.

Author Details

Shun Chan, MPH, RN; Aderonke Odetayo, MPH; Jasmine Cheung, PhD, RN; Anson Chui Yan Tang, PhD, RN; Lorna Kawi Ping Suen, Phd, RN; Simon Ching Lam, PhD, RN, FAAN

Sigma Membership

Pi Iota at-Large

Type

Presentation

Format Type

Text-based Document

Study Design/Type

Cross-Sectional

Research Approach

Mixed/Multi Method Research

Keywords:

Public and Community Health, Primary Care, Instrument and Tool Development, Mental Depression, Happiness

Conference Name

37th International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Toronto, Ontario, Canada

Conference Year

2026

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

Abstract Review Only: Reviewed by Event Host

Acquisition

Proxy-submission

Date of Issue

2026-08-20

Click above link to access the slide deck.

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Diagnostic Accuracy of a Single-Item Happiness Index for Screening Mild Depressive Symptoms

Toronto, Ontario, Canada

Background: Depression symptoms are a mental health problem with rising prevalence globally. To enhance the estimation of depressive symptoms in epidemiological studies, a 9-item Patient Health Questionnaire (PHQ-9) has been widely used. Some local research found that a single-item General Happiness Index (GHI) highly correlated with the scales used for screening the depressive symptoms. This study hence aimed to explore the sensitivity and specificity of GHI for screening mild or more severe depressive symptoms based on the secondary data analysis in the Chinese population.

Methods: This methodological study used the data collected in the General Happiness Survey 2024 and 2025 in Hong Kong (Lam et al., 2025). Demographics, GHI (0-10) and PHQ-9 (0-27) were available in the collected data. Pearson correlation analysis was used to indicate the relationship between GHI and PHQ-9. To identify the optimal sensitivity and specificity, receiver operator characteristic (ROC) curves were used to identify the best cutoff value of the GHI for mild depressive symptoms measured by PHQ-9 (score > 5).

Results: Of those 1,093 samples (from 2024 data) and 2,072 samples (from 2025 data) with about 68.0-70.2% females were included in the analysis. The age range of 35-44 years old participants (30.5-35.5%) accounted for the largest sample. The mean of GHI was 5.60-5.95, while that of PHQ-9 was 9.06-11.4 (SD 6.6-6.8).
A total of 904 (from 2024 data) and 647 participants (from 2025 data) was identified as mild or more severe depressive symptoms. GHI consistently, significantly and negatively correlated with PHQ-9 (r = -0.494 to -0.468, p<0.001). Based on the ROC analysis, an optimal cutoff value of GHI was 7 or less with sensitivity 65.3-68.0% and specificity 68.6-81.0% for identifying mild or more severe depressive symptoms. The Area Under the Curve was 74.0-79.2%.

Conclusion: The cutoff value of 7 of a single item GHI was recommended to screen the mild or more severe depressive symptoms with acceptable sensitivity and specificity. However, it is of caution that the reproducibility of the similar results may not be secured.