Relationships among pain, fatigue, insomnia, and gender in persons with lung cancer

Amy J Hoffman, Barbara A. Given, Alexander Von Eye, Audrey G. Gift, Charles W. Given

Research output: Contribution to journalArticle

62 Citations (Scopus)

Abstract

Purpose/Objectives: To examine the relationships among pain, fatigue, insomnia, and gender while controlling for age, comorbidities, and stage of cancer in patients newly diagnosed with lung cancer within 56 days of receiving chemotherapy. Design: Secondary data analysis. Setting: Accrual from four sites: two clinical community oncology programs and two comprehensive cancer centers. Sample: 80 patients newly diagnosed with lung cancer. Methods: Analysis from baseline observation of a randomized clinical intervention trial. Multinomial log-linear modeling was performed to explain the relationships among pain, fatigue, insomnia, and gender. Main Research Variables: Pain, fatigue, insomnia, and gender. Findings: For all people with lung cancer, fatigue (97%) and pain (69%) were the most frequently occurring symptoms; insomnia occurred 51% of the time. A model containing all main effects (two-way interactions of pain and fatigue, pain and insomnia, and insomnia and gender; and the three-way interaction of pain, fatigue, and insomnia, along with three covariates [age, comorbidities, and stage of cancer]) was a good fit to the data. Parameter estimates indicated that a statistically significant effect from the model was the three-way interaction of pain, fatigue, and insomnia. Gender did not make a difference. Age, comorbidities, and stage of cancer were not significant covariates. Conclusions: For people newly diagnosed with lung cancer undergoing chemotherapy, multiple symptoms occur simultaneously rather than in isolation; a symptom cluster exists, consisting of pain, fatigue, and insomnia; and no relationship was found among gender, pain, fatigue, and insomnia. Implications for Nursing: By understanding this symptom cluster, healthcare providers can target specific troublesome symptoms to optimize symptom management and achieve the delivery of high-quality cancer care.

Original languageEnglish (US)
Pages (from-to)785-792
Number of pages8
JournalOncology nursing forum
Volume34
Issue number4
DOIs
StatePublished - Jul 1 2007

Fingerprint

Sleep Initiation and Maintenance Disorders
Fatigue
Lung Neoplasms
Pain
Comorbidity
Neoplasms
Drug Therapy
Medical Oncology
Quality of Health Care
Health Personnel
Nursing
Randomized Controlled Trials
Observation

ASJC Scopus subject areas

  • Oncology(nursing)

Cite this

Relationships among pain, fatigue, insomnia, and gender in persons with lung cancer. / Hoffman, Amy J; Given, Barbara A.; Von Eye, Alexander; Gift, Audrey G.; Given, Charles W.

In: Oncology nursing forum, Vol. 34, No. 4, 01.07.2007, p. 785-792.

Research output: Contribution to journalArticle

Hoffman, Amy J ; Given, Barbara A. ; Von Eye, Alexander ; Gift, Audrey G. ; Given, Charles W. / Relationships among pain, fatigue, insomnia, and gender in persons with lung cancer. In: Oncology nursing forum. 2007 ; Vol. 34, No. 4. pp. 785-792.
@article{b387ca681c9a46d0b9ff7d07599e91d8,
title = "Relationships among pain, fatigue, insomnia, and gender in persons with lung cancer",
abstract = "Purpose/Objectives: To examine the relationships among pain, fatigue, insomnia, and gender while controlling for age, comorbidities, and stage of cancer in patients newly diagnosed with lung cancer within 56 days of receiving chemotherapy. Design: Secondary data analysis. Setting: Accrual from four sites: two clinical community oncology programs and two comprehensive cancer centers. Sample: 80 patients newly diagnosed with lung cancer. Methods: Analysis from baseline observation of a randomized clinical intervention trial. Multinomial log-linear modeling was performed to explain the relationships among pain, fatigue, insomnia, and gender. Main Research Variables: Pain, fatigue, insomnia, and gender. Findings: For all people with lung cancer, fatigue (97{\%}) and pain (69{\%}) were the most frequently occurring symptoms; insomnia occurred 51{\%} of the time. A model containing all main effects (two-way interactions of pain and fatigue, pain and insomnia, and insomnia and gender; and the three-way interaction of pain, fatigue, and insomnia, along with three covariates [age, comorbidities, and stage of cancer]) was a good fit to the data. Parameter estimates indicated that a statistically significant effect from the model was the three-way interaction of pain, fatigue, and insomnia. Gender did not make a difference. Age, comorbidities, and stage of cancer were not significant covariates. Conclusions: For people newly diagnosed with lung cancer undergoing chemotherapy, multiple symptoms occur simultaneously rather than in isolation; a symptom cluster exists, consisting of pain, fatigue, and insomnia; and no relationship was found among gender, pain, fatigue, and insomnia. Implications for Nursing: By understanding this symptom cluster, healthcare providers can target specific troublesome symptoms to optimize symptom management and achieve the delivery of high-quality cancer care.",
author = "Hoffman, {Amy J} and Given, {Barbara A.} and {Von Eye}, Alexander and Gift, {Audrey G.} and Given, {Charles W.}",
year = "2007",
month = "7",
day = "1",
doi = "10.1188/07.ONF.785-792",
language = "English (US)",
volume = "34",
pages = "785--792",
journal = "Oncology Nursing Forum",
issn = "0190-535X",
publisher = "Oncology Nursing Society",
number = "4",

}

TY - JOUR

T1 - Relationships among pain, fatigue, insomnia, and gender in persons with lung cancer

AU - Hoffman, Amy J

AU - Given, Barbara A.

AU - Von Eye, Alexander

AU - Gift, Audrey G.

AU - Given, Charles W.

PY - 2007/7/1

Y1 - 2007/7/1

N2 - Purpose/Objectives: To examine the relationships among pain, fatigue, insomnia, and gender while controlling for age, comorbidities, and stage of cancer in patients newly diagnosed with lung cancer within 56 days of receiving chemotherapy. Design: Secondary data analysis. Setting: Accrual from four sites: two clinical community oncology programs and two comprehensive cancer centers. Sample: 80 patients newly diagnosed with lung cancer. Methods: Analysis from baseline observation of a randomized clinical intervention trial. Multinomial log-linear modeling was performed to explain the relationships among pain, fatigue, insomnia, and gender. Main Research Variables: Pain, fatigue, insomnia, and gender. Findings: For all people with lung cancer, fatigue (97%) and pain (69%) were the most frequently occurring symptoms; insomnia occurred 51% of the time. A model containing all main effects (two-way interactions of pain and fatigue, pain and insomnia, and insomnia and gender; and the three-way interaction of pain, fatigue, and insomnia, along with three covariates [age, comorbidities, and stage of cancer]) was a good fit to the data. Parameter estimates indicated that a statistically significant effect from the model was the three-way interaction of pain, fatigue, and insomnia. Gender did not make a difference. Age, comorbidities, and stage of cancer were not significant covariates. Conclusions: For people newly diagnosed with lung cancer undergoing chemotherapy, multiple symptoms occur simultaneously rather than in isolation; a symptom cluster exists, consisting of pain, fatigue, and insomnia; and no relationship was found among gender, pain, fatigue, and insomnia. Implications for Nursing: By understanding this symptom cluster, healthcare providers can target specific troublesome symptoms to optimize symptom management and achieve the delivery of high-quality cancer care.

AB - Purpose/Objectives: To examine the relationships among pain, fatigue, insomnia, and gender while controlling for age, comorbidities, and stage of cancer in patients newly diagnosed with lung cancer within 56 days of receiving chemotherapy. Design: Secondary data analysis. Setting: Accrual from four sites: two clinical community oncology programs and two comprehensive cancer centers. Sample: 80 patients newly diagnosed with lung cancer. Methods: Analysis from baseline observation of a randomized clinical intervention trial. Multinomial log-linear modeling was performed to explain the relationships among pain, fatigue, insomnia, and gender. Main Research Variables: Pain, fatigue, insomnia, and gender. Findings: For all people with lung cancer, fatigue (97%) and pain (69%) were the most frequently occurring symptoms; insomnia occurred 51% of the time. A model containing all main effects (two-way interactions of pain and fatigue, pain and insomnia, and insomnia and gender; and the three-way interaction of pain, fatigue, and insomnia, along with three covariates [age, comorbidities, and stage of cancer]) was a good fit to the data. Parameter estimates indicated that a statistically significant effect from the model was the three-way interaction of pain, fatigue, and insomnia. Gender did not make a difference. Age, comorbidities, and stage of cancer were not significant covariates. Conclusions: For people newly diagnosed with lung cancer undergoing chemotherapy, multiple symptoms occur simultaneously rather than in isolation; a symptom cluster exists, consisting of pain, fatigue, and insomnia; and no relationship was found among gender, pain, fatigue, and insomnia. Implications for Nursing: By understanding this symptom cluster, healthcare providers can target specific troublesome symptoms to optimize symptom management and achieve the delivery of high-quality cancer care.

UR - http://www.scopus.com/inward/record.url?scp=38549109040&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38549109040&partnerID=8YFLogxK

U2 - 10.1188/07.ONF.785-792

DO - 10.1188/07.ONF.785-792

M3 - Article

VL - 34

SP - 785

EP - 792

JO - Oncology Nursing Forum

JF - Oncology Nursing Forum

SN - 0190-535X

IS - 4

ER -