Evidence map›Paper›PMID 42854100›Full record

ArticleNursing open2026

Development and Internal Validation of a Nomogram for Identifying Postpartum Fatigue in Postpartum Women: A Cross-Sectional Study.

Zhidong Guo, Min Xu, Shouzhen Cheng

Abstract readValidation Study
In one paragraph

Article in Nursing open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zhidong GuoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID https://orcid.org/0000-0001-6152-5271
Min XuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID https://orcid.org/0009-0002-2878-9034
Shouzhen ChengNursing Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID https://orcid.org/0000-0002-5063-9473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify factors associated with postpartum fatigue in postpartum women and to develop and internally validate a clinical nomogram.

designA cross-sectional study.

methodsThis cross-sectional study recruited 780 postpartum women via convenience sampling at a tertiary hospital in Guangdong, China (January-May 2025). After excluding invalid questionnaires, 744 participants were randomly allocated (7:3) to derivation and internal validation sets. Data were collected using a general information questionnaire and validated scales for postpartum fatigue, depression and social support. Candidate factors were pre-specified based on clinical relevance and previous evidence. LASSO regression was used for variable selection. Model performance was assessed using the AUC, calibration plots, the Hosmer-Lemeshow test and decision curve analysis (DCA), with internal validation by randomly splitting the sample into derivation and internal validation sets.

resultsAmong the 744 postpartum women, the prevalence of postpartum fatigue was 69.0% (n = 513). Four independent factors were associated with postpartum fatigue: postpartum depression, maternal sleep quality, breastfeeding ability and intrapartum blood loss. The nomogram showed good discrimination in both the derivation (AUC = 0.821) and internal validation (AUC = 0.801) sets. At the optimal cut-off of 0.682, sensitivity and specificity were 75.2% and 76.8%, respectively. The Hosmer-Lemeshow test confirmed good calibration in both sets (derivation: χ

conclusionsWe developed and internally validated a practical nomogram for identifying postpartum fatigue using readily available clinical and psychosocial factors. The model showed good performance. IMPLICATIONS FOR NURSING PRACTICE: This nomogram may assist nurses and midwives in early identification of postpartum women at increased likelihood of fatigue and facilitate individualized nursing interventions to improve postpartum recovery. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution was made to the design, conduct, analysis, interpretation or writing of this study.

Indexed as

FatigueNomogramsPostpartum PeriodAdultChinaCross-Sectional StudiesDepression, PostpartumFemaleHumansPrevalenceSurveys and Questionnaires

Identifiers

PMID42854100
PMCPMC13652515

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.