Prevalence and Correlates of Depression and Anxiety Among Women with HPV-Related Cervical Disease: A Hospital-Based Cross-Sectional Study in Shenzhen, China
Notice bibliographique
Résumé
Shu Jing,1 You Xin,1 Zhenwei Dai,2 Yanzhu Wang,3 Tianjie Yang,3 Qiufen Lin,3 Ting Shan,3 Leilei Zhu,3 Haiyan Hu,3 Xiaoyou Su1,4 1School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China; 2Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, People’s Republic of China; 3Gynecology, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, Guangdong, 518028, People’s Republic of China; 4State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, Peoples Republic of China’Correspondence: Xiaoyou Su, Email suxiaoyou@pumc.edu.cn Haiyan Hu, Email 2419959031@qq.comBackground: Human papillomavirus (HPV) infection is a prevalent sexually transmitted infection, significantly contributing to cervical lesions and cancer. It not only damages physical health but also causes substantial mental problems, including depression and anxiety. However, research remains fragmented in China.Methods: A hospital-based cross-sectional study was conducted in Shenzhen, China, from December 2024 to February 2025. Five hundred and one female participants with HPV infection, cervical lesions, or cancers were recruited via convenience sampling. Data on demographic characteristics, HPV-related information, and psychosocial indicators were collected using a self-reported questionnaire. Key measures included the 9-item Patient Health Questionnaire (PHQ-9, cutoff ≥ 10 for PHQ-defined depression), 7-item Generalized Anxiety Disorder Scale (GAD-7, cutoff ≥ 10 for GAD-defined anxiety), 14-item Fatigue Scale (FS-14, higher scores = more severe fatigue), 10-item Connor-Davidson Resilience Scale (CD-RISC-10, higher scores = stronger resilience), and 5-item Mindful Attention Awareness Scale (MAAS-5, higher scores = lower mindfulness levels). Univariate analysis and multivariable binary logistic regression were performed to identify factors associated with depression and anxiety.Results: The prevalence of PHQ-defined depression and GAD-defined anxiety was 22.36% (n=112/501, 95% CI: 0.187– 0.260) and 21.36% (n=107/501, 95% CI: 0.178– 0.250), respectively. Multivariable binary logistic regression indicated that high-grade cervical lesions or cervical cancer (vs HPV infection or low-grade cervical lesions; Depression: OR = 8.879, P < 0.00; Anxiety: OR = 14.154, P < 0.001) and poor sleep condition (Depression: OR = 1.155, P = 0.004; Anxiety: OR = 1.175, P < 0.001) emerged as significant predictors of depression and anxiety, whereas higher levels of resilience (Depression: OR = 0.896, P = 0.001; Anxiety: OR = 0.934, P = 0.018) demonstrated a protective effect among females infected with HPV. Meanwhile, the results also found that fatigue (OR = 1.284, P = 0.008) and lower mindfulness level (OR = 1.163, P = 0.011) were also associated with depression among females infected with HPV.Conclusion: This study reveals a high prevalence of depression and anxiety among HPV-infected women, along with the associations between PHQ-defined depression, GAD-defined anxiety, and advanced disease staging, fatigue, lower mindfulness, and higher resilience in women infected with HPV. Routine mental health assessment is warranted for this population, especially for those with high-grade cervical lesions or cervical cancer.Keywords: HPV-infected women, depression, anxiety, influencing factors
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».