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This study was approved by the Institutional Review Board of Guizhou Medical University (Approval No.: 2024 Ethical Review No. 157). All participants received a detailed explanation of the study procedures before enrollment and provided written informed consent. All procedures were conducted in accordance with the Declaration of Helsinki and relevant institutional ethical guidelines.
1. Study design
A cross-sectional study design was adopted, and convenience sampling was conducted at three tertiary general hospitals in Guizhou Province between November 2024 and June 2025. These hospitals were selected because of their high volume of hip replacement procedures and implementation of standardized rehabilitation protocols. The overall study workflow, including patient recruitment, data collection, and statistical analysis, is presented in Figure 1.
[Place Figure 1 here]
- Sample size calculation
Sample size estimation was based on the principle that the required sample size for multivariate analysis should be five to ten times the number of study variables22. A total of 22 variables were included in the study, consisting of 14 demographic and clinical variables, 5 dimensions of the Family APGAR Index, 2 dimensions of the Brief Illness Perception Questionnaire (BIPQ), and 1 dimension of the Tampa Scale of Kinesiophobia. Accordingly, the estimated sample size ranged from 110 to 220 participants. After accounting for a potential 20% invalid questionnaire rate, the required sample size increased to 138–276 participants.
- Participants
The inclusion criteria were as follows: age ≥18 years; completion of hip replacement surgery for hip joint dysfunction caused by different etiologies; ability to communicate effectively and complete the questionnaire independently or with assistance; and provision of written informed consent. The exclusion criteria included severe cardiac, hepatic, or renal dysfunction; malignant tumors; severe trauma involving multiple organs; simultaneous hip and knee replacement; and severe postoperative complications, including deep vein thrombosis, dislocation, or infection.
2. Tools
- Family APGAR Index, APGAR
Family function was assessed using the Family APGAR Index23. The scale consists of five items evaluating adaptability, partnership, growth, affection, and resolve. Each item is scored on a 3-point Likert scale ranging from 0 (“hardly ever”) to 2 (“always”), resulting in a total score ranging individually from 0 to 10. Higher scores indicate better family function. The Chinese version of the scale was introduced in 199524. The Cronbach’s alpha coefficient in this study was 0.746.
- Brief Illness Perception Questionnaire (BIPQ)
Illness perception was evaluated using the Brief Illness Perception Questionnaire (BIPQ)25. The questionnaire contains nine items, with the ninth item assessing perceived disease causes through an open-ended question and therefore excluded from quantitative scoring. Consistent with the original BIPQ recommendations, the cognitive and emotional dimensions were interpreted collectively to characterize illness perception, rather than using the instrument as a unidimensional summed scale. The Chinese version of the scale was introduced by Sun et al.26. The Cronbach’s alpha coefficient in this study was 0.738.
- Tampa Scale of Kinesiophobia (TSK-17)
Kinesiophobia was assessed using the 17-item Tampa Scale of Kinesiophobia (TSK-17)27. The scale was originally developed by Kori et al.28 to evaluate fear of movement associated with pain. Each item is scored on a 4-point Likert scale ranging from “strongly disagree” to “strongly agree.” Items 4, 8, 12, and 16 are reverse-scored. Total scores range from 17 to 68, with scores >37 indicating the presence of kinesiophobia29. Higher scores indicate greater fear of movement. The Cronbach’s alpha coefficient in this study was 0.944.
3. Control variables
Demographic variables included sex, age, Body Mass Index (BMI), place of residence, marital status, educational level, employment status, and monthly household income. Clinical variables included preoperative diagnosis, presence of chronic diseases, type of replacement surgery, preoperative Numerical Rating Scale (NRS) score, duration of preoperative pain, and postoperative NRS score.
4. Data collection
Participants were recruited consecutively until the required sample size was reached. Written informed consent was obtained before data collection. To ensure consistency, the three postgraduate students responsible for data collection completed a one-week standardized training program covering questionnaire administration and psychological assessment procedures.
Questionnaires were administered on postoperative day 3. Most questionnaires were self-administered. For participants with visual impairment or severe fatigue, trained investigators conducted interviewer-assisted assessments by reading the questionnaire items verbatim. Before questionnaire administration, a standardized introductory statement was used to explain the study's purpose, confidentiality measures, and the voluntary nature of participation. When clarification was required, investigators used a pre-approved glossary of neutral explanations to minimize reporting bias.
A total of 206 questionnaires were distributed. Six questionnaires were excluded because of incomplete responses or participant withdrawal, resulting in 200 valid questionnaires and an effective response rate of 97%.
Postoperative day 3 was selected as the assessment time point because patients are generally transitioning from acute postoperative recovery to independent or semi-assisted mobilization during this period. Compared with the first 48 hours after surgery, the influence of acute postoperative pain and residual anesthetic effects is reduced, allowing a more stable assessment of kinesiophobia and illness perception.
5. Data analysis
Statistical analyses were performed using IBM SPSS Statistics version 27.0 (Armonk, NY, USA; RRID: SCR_002865). Patients with TSK-17 scores >37 were classified into the kinesiophobia group. Chi-square tests were used to compare differences in kinesiophobia prevalence across demographic and clinical characteristics. Pearson correlation analysis was conducted to evaluate the relationships among family function, illness perception, and kinesiophobia.
Harman’s single-factor test was performed to assess common method bias, with the criterion that the variance explained by the first factor should be <50%29. Before mediation analysis, exploratory moderation analysis was conducted using PROCESS Model 1 to determine whether illness perception functioned as a moderator. Because the interaction terms were not statistically significant, a subsequent mediation analysis was conducted using PROCESS version 3.5 (RRID: SCR_021369) with Model 4.
Normality and multicollinearity assumptions were evaluated using Q-Q plots and Variance Inflation Factors (VIFs), respectively. Variables that showed significant associations in univariate analyses were included as covariates in the mediation model. Indirect effects were evaluated using the bootstrap method with 5,000 resamples.