Literature DB >> 28614083

Pain Catastrophizing Moderates Relationships between Pain Intensity and Opioid Prescription: Nonlinear Sex Differences Revealed Using a Learning Health System.

Yasamin Sharifzadeh1, Ming-Chih Kao, John A Sturgeon, Thomas J Rico, Sean Mackey, Beth D Darnall.   

Abstract

BACKGROUND: Pain catastrophizing is a maladaptive response to pain that amplifies chronic pain intensity and distress. Few studies have examined how pain catastrophizing relates to opioid prescription in outpatients with chronic pain.
METHODS: The authors conducted a retrospective observational study of the relationships between opioid prescription, pain intensity, and pain catastrophizing in 1,794 adults (1,129 women; 63%) presenting for new evaluation at a large tertiary care pain treatment center. Data were sourced primarily from an open-source, learning health system and pain registry and secondarily from manual review of electronic medical records. A binary opioid prescription variable (yes/no) constituted the dependent variable; independent variables were age, sex, pain intensity, pain catastrophizing, depression, and anxiety.
RESULTS: Most patients were prescribed at least one opioid medication (57%; n = 1,020). A significant interaction and main effects of pain intensity and pain catastrophizing on opioid prescription were noted (P < 0.04). Additive modeling revealed sex differences in the relationship between pain catastrophizing, pain intensity, and opioid prescription, such that opioid prescription became more common at lower levels of pain catastrophizing for women than for men.
CONCLUSIONS: Results supported the conclusion that pain catastrophizing and sex moderate the relationship between pain intensity and opioid prescription. Although men and women patients had similar Pain Catastrophizing Scale scores, historically "subthreshold" levels of pain catastrophizing were significantly associated with opioid prescription only for women patients. These findings suggest that pain intensity and catastrophizing contribute to different patterns of opioid prescription for men and women patients, highlighting a potential need for examination and intervention in future studies.

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Year:  2017        PMID: 28614083      PMCID: PMC5478434          DOI: 10.1097/ALN.0000000000001656

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  43 in total

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2.  Pain catastrophizing predicts pain intensity, disability, and psychological distress independent of the level of physical impairment.

Authors:  R Severeijns; J W Vlaeyen; M A van den Hout; W E Weber
Journal:  Clin J Pain       Date:  2001-06       Impact factor: 3.442

3.  Preoperative predictors of postoperative opioid usage, pain scores, and referral to a pain management service in total knee arthroplasty.

Authors:  Trevor R Banka; Allison Ruel; Kara Fields; Jacques YaDeau; Geoffrey Westrich
Journal:  HSS J       Date:  2014-11-01

4.  Dimensions of catastrophic thinking associated with pain experience and disability in patients with neuropathic pain conditions.

Authors:  Michael J L Sullivan; Mary E Lynch; A J Clark
Journal:  Pain       Date:  2005-02       Impact factor: 6.961

5.  Factor structure, reliability, and validity of the Pain Catastrophizing Scale.

Authors:  A Osman; F X Barrios; B A Kopper; W Hauptmann; J Jones; E O'Neill
Journal:  J Behav Med       Date:  1997-12

6.  Fibromyalgia survey criteria are associated with increased postoperative opioid consumption in women undergoing hysterectomy.

Authors:  Allison M Janda; Sawsan As-Sanie; Baskar Rajala; Alex Tsodikov; Stephanie E Moser; Daniel J Clauw; Chad M Brummett
Journal:  Anesthesiology       Date:  2015-05       Impact factor: 7.892

7.  Efficiency of static and computer adaptive short forms compared to full-length measures of depressive symptoms.

Authors:  Seung W Choi; Steven P Reise; Paul A Pilkonis; Ron D Hays; David Cella
Journal:  Qual Life Res       Date:  2009-11-26       Impact factor: 4.147

8.  The role of catastrophizing in the prediction of postoperative pain.

Authors:  Marianna Papaioannou; Petros Skapinakis; Dimitris Damigos; Venetsanos Mavreas; Georgios Broumas; Androniki Palgimesi
Journal:  Pain Med       Date:  2009-10-26       Impact factor: 3.750

9.  Epidemiology of regular prescribed opioid use: results from a national, population-based survey.

Authors:  Teresa J Hudson; Mark J Edlund; Diane E Steffick; Shanti P Tripathi; Mark D Sullivan
Journal:  J Pain Symptom Manage       Date:  2008-07-10       Impact factor: 3.612

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Authors:  Adley Tsang; Michael Von Korff; Sing Lee; Jordi Alonso; Elie Karam; Matthias C Angermeyer; Guilherme Luiz Guimaraes Borges; Evelyn J Bromet; K Demytteneare; Giovanni de Girolamo; Ron de Graaf; Oye Gureje; Jean-Pierre Lepine; Josep Maria Haro; Daphna Levinson; Mark A Oakley Browne; Jose Posada-Villa; Soraya Seedat; Makoto Watanabe
Journal:  J Pain       Date:  2008-07-07       Impact factor: 5.820

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  16 in total

1.  Negative Affect-Related Factors Have the Strongest Association with Prescription Opioid Misuse in a Cross-Sectional Cohort of Patients with Chronic Pain.

Authors:  Gadi Gilam; John A Sturgeon; Dokyoung S You; Ajay D Wasan; Beth D Darnall; Sean C Mackey
Journal:  Pain Med       Date:  2020-02-01       Impact factor: 3.750

2.  Associations between pain intensity and urge to smoke: Testing the role of negative affect and pain catastrophizing.

Authors:  Jesse D Kosiba; Emily L Zale; Joseph W Ditre
Journal:  Drug Alcohol Depend       Date:  2018-03-31       Impact factor: 4.492

3.  Evaluation of Candidate Items for Severe PTSD Screening for Patients With Chronic Pain: Pilot Data Analysis With the IRT Approach.

Authors:  Dokyoung S You; Maisa S Ziadni; Gadi Gilam; Beth D Darnall; Sean C Mackey
Journal:  Pain Pract       Date:  2019-11-21       Impact factor: 3.183

4.  Pain catastrophizing: A patient-centered approach to assessment.

Authors:  Osheeca J Thompson; Keesha Powell-Roach; Janiece L Taylor; Ellen L Terry; Staja Q Booker
Journal:  Nursing       Date:  2022-04-01

5.  CARE Scale-7: Development and Preliminary Validation of a Measure to Assess Factors Impacting Self-Care in Chronic Pain.

Authors:  Maisa Ziadni; Dokyoung S You; Anna C Wilson; Beth D Darnall
Journal:  Clin J Pain       Date:  2018-09       Impact factor: 3.442

6.  Utility of catastrophizing, body symptom diagram score and history of opioid use to predict future health care utilization after a primary care visit for musculoskeletal pain.

Authors:  Daniel I Rhon; Trevor A Lentz; Steven Z George
Journal:  Fam Pract       Date:  2020-02-19       Impact factor: 2.267

7.  Effects of pain neuroscience education in hospitalized patients with high tibial osteotomy: a quasi-experimental study using propensity score matching.

Authors:  Naoki Deguchi; Yoshiyuki Hirakawa; Shota Izawa; Kazuhito Yokoyama; Keito Muraki; Ryouiti Oshibuti; Yasuki Higaki
Journal:  BMC Musculoskelet Disord       Date:  2019-11-07       Impact factor: 2.362

8.  Development and validation of the Collaborative Health Outcomes Information Registry body map.

Authors:  Kristen Hymel Scherrer; Maisa S Ziadni; Jiang-Ti Kong; John A Sturgeon; Vafi Salmasi; Juliette Hong; Eric Cramer; Abby L Chen; Teresa Pacht; Garrick Olson; Beth D Darnall; Ming-Chih Kao; Sean Mackey
Journal:  Pain Rep       Date:  2021-01-15

9.  Self-reported traumatic etiology of pain and psychological function in tertiary care pain clinic patients: a collaborative health outcomes information registry (CHOIR) study.

Authors:  Chloe J Taub; John A Sturgeon; Mandeep K Chahal; Ming-Chih Kao; Sean C Mackey; Beth D Darnall
Journal:  Scand J Pain       Date:  2020-07-28

10.  Efficacy and mechanisms of a single-session behavioral medicine class among patients with chronic pain taking prescription opioids: study protocol for a randomized controlled trial.

Authors:  Maisa S Ziadni; Abby L Chen; Tyler Winslow; Sean C Mackey; Beth D Darnall
Journal:  Trials       Date:  2020-06-12       Impact factor: 2.279

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