| Literature DB >> 31060622 |
Meghna Nandi1,2,3, Kristin L Schreiber4, Marc O Martel5, Marise Cornelius4, Claudia M Campbell6, Jennifer A Haythornthwaite6, Michael T Smith6, John Wright7, Linda S Aglio4, Gary Strichartz4,8, Robert R Edwards4.
Abstract
BACKGROUND: Knee osteoarthritis (OA) is among the most common and disabling persistent pain conditions, with increasing prevalence in the developed world, and affects women to a greater degree than men. In the USA, the growth of knee OA has been paralleled by an increase in rates of total knee arthroplasty (TKA), a surgical treatment option for late-stage knee OA. While TKA outcomes are generally good, postoperative trajectories of pain vary widely, with some patients reporting a complete absence of pain, but with a significant minority reporting worsening pain. Biopsychosocial factors, including anxiety and depression, are known to contribute importantly to the experience of joint pain, with women reporting a higher degree of negative affective symptoms.Entities:
Keywords: Anxiety; Depression; Postoperative pain; Sex differences; Total knee arthroplasty
Mesh:
Year: 2019 PMID: 31060622 PMCID: PMC6501305 DOI: 10.1186/s13293-019-0237-7
Source DB: PubMed Journal: Biol Sex Differ ISSN: 2042-6410 Impact factor: 5.027
Sample characteristics
| Variables | Overall sample | Men ( | Women ( |
|
|---|---|---|---|---|
| Age | 65.66 (8.82) | 67.10 (9.36) | 64.20 (8.07) | .63 |
| Ethnicity (%, white) | 87% | 86% | 87.8% | .80 |
| Marital status (%, married) | 71% | 82% | 60% | .02 |
| Employment (%, working) | 40% | 38% | 42% | .68 |
| Body mass index (BMI) | 30.92 (6.31) | 30.87 (6.18) | 30.98 (6.53) | .94 |
| Baseline negative affect (PROMIS) | 12.54 (4.43) | 11.36 (4.18) | 13.78 (4.39) | .003 |
Values in parentheses are standard deviations
Interrelations among study variables
Fig. 1Self-reported pain intensity as a function of time and sex. Pain intensity in male and female patients from presurgery to 6 weeks postsurgery. Data presented as median and interquartile range (IQR)
Moderating role of sex in the association between negative affect and pain intensity 2 weeks after surgery
| Variables |
| Boot SE |
| 95% CI |
|---|---|---|---|---|
|
| ||||
| Age | − 0.02 | 0.02 | 0.29 | LL = − 0.07; UL = 0.02 |
| Baseline pain intensity | 0.28 | 0.10 | 0.01 | LL = 0.09; UL = 0.46 |
|
| ||||
| Negative affect | 0.08 | 0.04 | 0.11 | LL = − 0.02; UL = 0.17 |
| Sex | 1.01 | 0.40 | 0.01 | LL = 0.22; UL = 1.80 |
| Sex * negative affect | − 0.19 | 0.09 | 0.040 | LL = − 0.37; UL = − 0.01 |
Values are from the final model
β unstandardized regression coefficient, Boot SE bootstrapped standard errors, CI confidence intervals, LL lower limit, UL upper limit, IVs independent variables
*interaction between
Fig. 2Association between negative affect and pain intensity 2 weeks after surgery. Interaction between sex and baseline negative affect in predicting pain intensity 2 weeks postsurgery
Moderating role of sex in the association between negative affect and pain intensity 48 h after surgery
| Variables |
| Boot SE |
| 95% CI |
|---|---|---|---|---|
|
| ||||
| Baseline pain intensity | 0.30 | 0.12 | 0.01 | LL = 0.07; UL = 0.53 |
|
| ||||
| Negative affect | 0.09 | 0.06 | 0.12 | LL = − 0.02; UL = 0.20 |
| Sex | 0.89 | 0.48 | 0.07 | LL = − 0.07; UL = 1.85 |
| Sex * negative affect | − 0.13 | 0.11 | 0.023 | LL = − 0.35; UL = 0.09 |
Values are from the final model
β unstandardized regression coefficient, Boot SE bootstrapped standard errors, CI confidence intervals, LL lower limit, UL upper limit, IVs independent variables
*interaction between
Moderating role of sex in the association between negative affect and pain intensity 6 weeks after surgery
| Variables |
| Boot SE |
| 95% CI |
|---|---|---|---|---|
|
| ||||
| Negative affect | 0.12 | 0.07 | 0.08 | LL = − 0.02; UL =0 25 |
| Sex | 1.46 | 1.25 | 0.25 | LL = − 1.02; UL = 3.94 |
| Sex * negative affect | − 0.08 | 0.09 | 0.039 | LL = − 0.27; UL = 0.11 |
Values are from the final model
β unstandardized regression coefficient, Boot SE bootstrapped standard errors, CI confidence intervals, LL lower limit, UL upper limit, IVs independent variables
*interaction between