Evidence map›Paper›PMID 39398543›Full record

ArticleAmerican journal of translational research2024

Analysis of the trajectory and influencing factors of kinesiophobia in elderly patients during the rehabilitation phase of limb fractures.

Zhi-Li Jiang, Fei-Yan Cai, Zhen Xiong, Shao-Yan Fu, Jia-Ling Li

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Zhi-Li JiangDepartment of Nursing, Nanchang Hongdu Traditional Chinese Medicine Hospital Nanchang 330038, Jiangxi, China.
Fei-Yan CaiDepartment of Joint Surgery Third, Nanchang Hongdu Traditional Chinese Medicine Hospital Nanchang 330038, Jiangxi, China.
Zhen XiongDepartment of Nursing, Nanchang Hongdu Traditional Chinese Medicine Hospital Nanchang 330038, Jiangxi, China.
Shao-Yan FuDepartment of Nursing, Nanchang Hongdu Traditional Chinese Medicine Hospital Nanchang 330038, Jiangxi, China.
Jia-Ling LiTwenty Six Wards, Nanchang Hongdu Traditional Chinese Medicine Hospital Nanchang 330038, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the trajectory and influencing factors of kinetophobia in elderly patients with limb fracture during the rehabilitation period.

methodsIn this retrospective study, we retrieved the follow-up records of 150 elderly patients with limb fractures from our hospital's electronic medical record system. We collected the demographic data and Tampa Scale for Kinesiophobia (TSK) scores of patients at postoperative day 1 (T0), 1 week (T1), 3 weeks (T2), 6 weeks (T3), and 12 weeks (T4) to track changes in kinesiophobia over time. We used Mplus 8.3 software to fit the development trajectory types of kinesiophobia based on TSK scores at time points T0 to T4 using a Latent Class Growth Model (LCGM). After selecting the best fitting model, logistic regression analysis was performed to identify the risk factors for kinesiophobia in different types. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to compare the predictive value of relevant influencing factors for kinetophobia in elderly patients recovering from limb fracture.

resultsThe TSK scores decreased steadily from T0 to T4 [(46.03±7.88) at T0, (41.14±8.89) at T1, (34.61±5.64) at T2, (29.95±6.79) at T3, and (26.71±5.03) at T4], [

conclusionAs the recovery time progresses for elderly patients with limb fractures, the overall trend of kinesiophobia scores decreases. Kinesiophobia presents with two different trajectories, with age, average monthly income, NRS score, and self-efficacy being important factors influencing the trajectory categories of kinesiophobia changes.

Indexed as

Elderly patients with fracturekinesiophobialongitudinal studytrajectory of change

Identifiers

PMID39398543
PMCPMC11470338

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