Literature DB >> 15263057

Gender differences in pain, fatigue, and depression in patients with cancer.

Christine Miaskowski1.   

Abstract

A quick review of virtually any research topic documents the pervasiveness of sex and gender bias throughout all of science. A large portion of both animal and human research has been, and continues to be, done primarily with male subjects. This gender bias influences research results and often leads to inappropriate and questionable generalizations of research findings, usually from studies done with male participants to females. Needless to say, this bias exists in symptom management research on pain, fatigue, and depression in patients with cancer. This article reviews the evidence from the studies on gender differences in pain, fatigue, and depression in patients with cancer. It should be noted that research studies on gender differences in cancer-related pain, fatigue, and depression are minimal in number, are restricted to studies of the differences in prevalence rates and severity scores, and for the most part have yielded inconsistent results. Additional investigations are warranted to determine whether the gender differences in prevalence rates and severity of these symptoms represent clinically meaningful differences. If these gender differences are substantiated, these findings will guide the design of studies to elucidate the underlying mechanisms for these differences, as well as the development and testing of gender specific interventions to treat cancer-related pain, fatigue, and depression.

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Mesh:

Year:  2004        PMID: 15263057     DOI: 10.1093/jncimonographs/lgh024

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  47 in total

Review 1.  [Gender differences in acute and chronic pain conditions. Implications for diagnosis and therapy].

Authors:  M Schopper; J Fleckenstein; D Irnich
Journal:  Schmerz       Date:  2013-09       Impact factor: 1.107

2.  Predictors of falls among community-dwelling older adults with cancer: results from the health and retirement study.

Authors:  Tuo-Yu Chen; Megan C Janke
Journal:  Support Care Cancer       Date:  2014-02       Impact factor: 3.603

3.  Gender and ethnic differences in cancer pain experience: a multiethnic survey in the United States.

Authors:  Eun-Ok Im; Wonshik Chee; Enrique Guevara; Yi Liu; Hyun-Ju Lim; Hsiu-Min Tsai; Maresha Clark; Melinda Bender; Kyung Suk Kim; Young Hee Kim; Hyunjeong Shin
Journal:  Nurs Res       Date:  2007 Sep-Oct       Impact factor: 2.381

4.  Which factors can aid clinicians to identify a risk of pain during the following month in patients with bone metastases? A longitudinal analyses.

Authors:  Ragnhild Habberstad; M J Hjermstad; C Brunelli; S Kaasa; M I Bennett; K Pardon; P Klepstad
Journal:  Support Care Cancer       Date:  2018-08-13       Impact factor: 3.603

5.  Phenotypic and Molecular Evidence Suggests That Decrements in Morning and Evening Energy Are Distinct but Related Symptoms.

Authors:  Bradley E Aouizerat; Anand Dhruva; Steven M Paul; Bruce A Cooper; Kord M Kober; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2015-05-29       Impact factor: 3.612

6.  Sexual activity and body image: examining gender variability and the influence of psychological distress in cancer patients.

Authors:  Jessica Krok; Tamara Baker; Susan McMillan
Journal:  J Gend Stud       Date:  2013-10-01

7.  The influence of tumor necrosis factor-alpha -308 G/A and IL-6 -174 G/C on pain and analgesia response in lung cancer patients receiving supportive care.

Authors:  Cielito C Reyes-Gibby; Badi El Osta; Margaret R Spitz; Henrique Parsons; Razelle Kurzrock; Xifeng Wu; Sanjay Shete; Eduardo Bruera
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-11       Impact factor: 4.254

8.  Ovarian cancer survivors' experiences of self-advocacy: a focus group study.

Authors:  Teresa L Hagan; Heidi S Donovan
Journal:  Oncol Nurs Forum       Date:  2013-03       Impact factor: 2.172

9.  Gender-related differences in the clinical presentation of malignant and benign pheochromocytoma.

Authors:  Edwin W Lai; Shiromi M Perera; Bas Havekes; Henri J L M Timmers; Frederieke M Brouwers; Beverly McElroy; Karen T Adams; Shoichiro Ohta; Robert A Wesley; Graeme Eisenhofer; Karel Pacak
Journal:  Endocrine       Date:  2008-11-04       Impact factor: 3.633

10.  Latent Class Analysis Reveals Distinct Subgroups of Patients Based on Symptom Occurrence and Demographic and Clinical Characteristics.

Authors:  Christine Miaskowski; Laura Dunn; Christine Ritchie; Steven M Paul; Bruce Cooper; Bradley E Aouizerat; Kimberly Alexander; Helen Skerman; Patsy Yates
Journal:  J Pain Symptom Manage       Date:  2015-01-31       Impact factor: 3.612

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