Loading…
Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative
Abstract Objective To investigate demographic correlates of fatigue in the US general population using a new instrument developed by the Patient-Reported Outcome Measurement Information System (PROMIS). First, we examined correlations between the new PROMIS instrument and the Functional Assessment o...
Saved in:
Published in: | Journal of psychosomatic research 2011-09, Vol.71 (3), p.117-123 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c662t-3394a5479fba1e85bdc1277e2ee0d96cd01da0f633c6ba88bea2b12fb8d821db3 |
---|---|
cites | cdi_FETCH-LOGICAL-c662t-3394a5479fba1e85bdc1277e2ee0d96cd01da0f633c6ba88bea2b12fb8d821db3 |
container_end_page | 123 |
container_issue | 3 |
container_start_page | 117 |
container_title | Journal of psychosomatic research |
container_volume | 71 |
creator | Junghaenel, Doerte U Christodoulou, Christopher Lai, Jin-Shei Stone, Arthur A |
description | Abstract Objective To investigate demographic correlates of fatigue in the US general population using a new instrument developed by the Patient-Reported Outcome Measurement Information System (PROMIS). First, we examined correlations between the new PROMIS instrument and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and the SF-36v2 Vitality subscale. Based on prior findings, we further examined several demographic correlates of fatigue: whether women would report higher levels of fatigue compared to men, and whether married people would experience lower levels of fatigue compared to unmarried people. We also explored the relationship between age, education, and fatigue. Methods Analyses were based on fatigue ratings by 666 individuals from the general population. Fatigue was assessed with the new PROMIS instrument, the FACIT-F, and the SF-36v2 Vitality subscale. Differences in fatigue were examined with independent samples t -tests and univariate ANOVAs. Results The three fatigue instruments were highly intercorrelated. Confirming prior reports, women reported higher levels of fatigue than men. Married participants reported significantly less fatigue than their unmarried counterparts. Univariate ANOVAs yielded a main effect for participants' age; younger participants gave significantly higher fatigue ratings. We also found a main effect for participants' education. Participants with a masters or doctoral degree had significantly lower ratings of fatigue than participants with some college education and education up to high school. Conclusion Female gender, not being married, younger age and lower educational attainment were each associated with increased fatigue in the general population and the three fatigue instruments performed equally well in detecting the observed associations. |
doi_str_mv | 10.1016/j.jpsychores.2011.04.007 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3744100</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S0022399911001401</els_id><sourcerecordid>1558986946</sourcerecordid><originalsourceid>FETCH-LOGICAL-c662t-3394a5479fba1e85bdc1277e2ee0d96cd01da0f633c6ba88bea2b12fb8d821db3</originalsourceid><addsrcrecordid>eNqNks1u1DAUhSMEokPhFZA3iLLIYDt_NotKUP4qFRV16NpynJsZD0mc2s5I8zC8K3c6QwssECsvzufj63tOkhBG54yy8vV6vh7D1qychzDnlLE5zeeUVg-SGROVTFlW0ofJjFLO00xKeZQ8CWFNKS0lLx4nR5yJPKvyfJb8eA-9W3o9rqwhxnkPnY4QiGtJq6NdTkDsQOIKyPWCLGEArzsyunFCzLrhDbmCMHUxkNa7_pYbUYAhph5G5yM0xE3RuB49e9Bh8tCjiqat8_2tBwnbEKEnJ1-vLr-cL16hZqNFaQNPk0et7gI8O5zHyfXHD9_OPqcXl5_Oz95epKYseUyzTOa6yCvZ1pqBKOrGMF5VwAFoI0vTUNZo2pZZZspaC1GD5jXjbS0awVlTZ8fJ6d53nOoeGoMT4j_V6G2v_VY5bdWfymBXauk2ardERikavDwYeHczQYiqt8FA1-kB3BSUEDnjGEqB5Mk_SVYUQopS5iWiYo8a70Lw0N4NxKja9UCt1X0P1K4HiuYKe4BXn__-obuLv4JH4MUB0MHorvV6MDbcc3lBKyk4cu_2HOD6Nxa8CgbjNdBYDyaqxtn_meb0LxPTYcj47nfYQli7yQ8Yr2IqcEXVYtfbXW0ZrpbllGU_ATVr8Og</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1558986946</pqid></control><display><type>article</type><title>Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative</title><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>ScienceDirect Freedom Collection</source><creator>Junghaenel, Doerte U ; Christodoulou, Christopher ; Lai, Jin-Shei ; Stone, Arthur A</creator><creatorcontrib>Junghaenel, Doerte U ; Christodoulou, Christopher ; Lai, Jin-Shei ; Stone, Arthur A</creatorcontrib><description>Abstract Objective To investigate demographic correlates of fatigue in the US general population using a new instrument developed by the Patient-Reported Outcome Measurement Information System (PROMIS). First, we examined correlations between the new PROMIS instrument and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and the SF-36v2 Vitality subscale. Based on prior findings, we further examined several demographic correlates of fatigue: whether women would report higher levels of fatigue compared to men, and whether married people would experience lower levels of fatigue compared to unmarried people. We also explored the relationship between age, education, and fatigue. Methods Analyses were based on fatigue ratings by 666 individuals from the general population. Fatigue was assessed with the new PROMIS instrument, the FACIT-F, and the SF-36v2 Vitality subscale. Differences in fatigue were examined with independent samples t -tests and univariate ANOVAs. Results The three fatigue instruments were highly intercorrelated. Confirming prior reports, women reported higher levels of fatigue than men. Married participants reported significantly less fatigue than their unmarried counterparts. Univariate ANOVAs yielded a main effect for participants' age; younger participants gave significantly higher fatigue ratings. We also found a main effect for participants' education. Participants with a masters or doctoral degree had significantly lower ratings of fatigue than participants with some college education and education up to high school. Conclusion Female gender, not being married, younger age and lower educational attainment were each associated with increased fatigue in the general population and the three fatigue instruments performed equally well in detecting the observed associations.</description><identifier>ISSN: 0022-3999</identifier><identifier>EISSN: 1879-1360</identifier><identifier>DOI: 10.1016/j.jpsychores.2011.04.007</identifier><identifier>PMID: 21843744</identifier><identifier>CODEN: JPCRAT</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adult ; Age Factors ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Demographic aspects ; Demographics ; Demography ; Educational Status ; Fatigue ; Fatigue - epidemiology ; Fatigue - etiology ; Fatigue - psychology ; Female ; Functional assessment ; Fundamental and applied biological sciences. Psychology ; High schools ; Humans ; Information systems ; Information Systems - statistics & numerical data ; Male ; Marriage - psychology ; Measurement ; Middle Aged ; Miscellaneous ; Patient-reported outcomes ; PROMIS ; Psychiatry ; Psychology and medicine ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Risk Factors ; Sampling Studies ; Sex Factors ; Surveys and Questionnaires ; United States ; US population ; Young Adult</subject><ispartof>Journal of psychosomatic research, 2011-09, Vol.71 (3), p.117-123</ispartof><rights>2011</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011. Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c662t-3394a5479fba1e85bdc1277e2ee0d96cd01da0f633c6ba88bea2b12fb8d821db3</citedby><cites>FETCH-LOGICAL-c662t-3394a5479fba1e85bdc1277e2ee0d96cd01da0f633c6ba88bea2b12fb8d821db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925,31000</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24507982$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21843744$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Junghaenel, Doerte U</creatorcontrib><creatorcontrib>Christodoulou, Christopher</creatorcontrib><creatorcontrib>Lai, Jin-Shei</creatorcontrib><creatorcontrib>Stone, Arthur A</creatorcontrib><title>Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative</title><title>Journal of psychosomatic research</title><addtitle>J Psychosom Res</addtitle><description>Abstract Objective To investigate demographic correlates of fatigue in the US general population using a new instrument developed by the Patient-Reported Outcome Measurement Information System (PROMIS). First, we examined correlations between the new PROMIS instrument and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and the SF-36v2 Vitality subscale. Based on prior findings, we further examined several demographic correlates of fatigue: whether women would report higher levels of fatigue compared to men, and whether married people would experience lower levels of fatigue compared to unmarried people. We also explored the relationship between age, education, and fatigue. Methods Analyses were based on fatigue ratings by 666 individuals from the general population. Fatigue was assessed with the new PROMIS instrument, the FACIT-F, and the SF-36v2 Vitality subscale. Differences in fatigue were examined with independent samples t -tests and univariate ANOVAs. Results The three fatigue instruments were highly intercorrelated. Confirming prior reports, women reported higher levels of fatigue than men. Married participants reported significantly less fatigue than their unmarried counterparts. Univariate ANOVAs yielded a main effect for participants' age; younger participants gave significantly higher fatigue ratings. We also found a main effect for participants' education. Participants with a masters or doctoral degree had significantly lower ratings of fatigue than participants with some college education and education up to high school. Conclusion Female gender, not being married, younger age and lower educational attainment were each associated with increased fatigue in the general population and the three fatigue instruments performed equally well in detecting the observed associations.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Demography</subject><subject>Educational Status</subject><subject>Fatigue</subject><subject>Fatigue - epidemiology</subject><subject>Fatigue - etiology</subject><subject>Fatigue - psychology</subject><subject>Female</subject><subject>Functional assessment</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>High schools</subject><subject>Humans</subject><subject>Information systems</subject><subject>Information Systems - statistics & numerical data</subject><subject>Male</subject><subject>Marriage - psychology</subject><subject>Measurement</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Patient-reported outcomes</subject><subject>PROMIS</subject><subject>Psychiatry</subject><subject>Psychology and medicine</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Risk Factors</subject><subject>Sampling Studies</subject><subject>Sex Factors</subject><subject>Surveys and Questionnaires</subject><subject>United States</subject><subject>US population</subject><subject>Young Adult</subject><issn>0022-3999</issn><issn>1879-1360</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqNks1u1DAUhSMEokPhFZA3iLLIYDt_NotKUP4qFRV16NpynJsZD0mc2s5I8zC8K3c6QwssECsvzufj63tOkhBG54yy8vV6vh7D1qychzDnlLE5zeeUVg-SGROVTFlW0ofJjFLO00xKeZQ8CWFNKS0lLx4nR5yJPKvyfJb8eA-9W3o9rqwhxnkPnY4QiGtJq6NdTkDsQOIKyPWCLGEArzsyunFCzLrhDbmCMHUxkNa7_pYbUYAhph5G5yM0xE3RuB49e9Bh8tCjiqat8_2tBwnbEKEnJ1-vLr-cL16hZqNFaQNPk0et7gI8O5zHyfXHD9_OPqcXl5_Oz95epKYseUyzTOa6yCvZ1pqBKOrGMF5VwAFoI0vTUNZo2pZZZspaC1GD5jXjbS0awVlTZ8fJ6d53nOoeGoMT4j_V6G2v_VY5bdWfymBXauk2ardERikavDwYeHczQYiqt8FA1-kB3BSUEDnjGEqB5Mk_SVYUQopS5iWiYo8a70Lw0N4NxKja9UCt1X0P1K4HiuYKe4BXn__-obuLv4JH4MUB0MHorvV6MDbcc3lBKyk4cu_2HOD6Nxa8CgbjNdBYDyaqxtn_meb0LxPTYcj47nfYQli7yQ8Yr2IqcEXVYtfbXW0ZrpbllGU_ATVr8Og</recordid><startdate>20110901</startdate><enddate>20110901</enddate><creator>Junghaenel, Doerte U</creator><creator>Christodoulou, Christopher</creator><creator>Lai, Jin-Shei</creator><creator>Stone, Arthur A</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20110901</creationdate><title>Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative</title><author>Junghaenel, Doerte U ; Christodoulou, Christopher ; Lai, Jin-Shei ; Stone, Arthur A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c662t-3394a5479fba1e85bdc1277e2ee0d96cd01da0f633c6ba88bea2b12fb8d821db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Demography</topic><topic>Educational Status</topic><topic>Fatigue</topic><topic>Fatigue - epidemiology</topic><topic>Fatigue - etiology</topic><topic>Fatigue - psychology</topic><topic>Female</topic><topic>Functional assessment</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>High schools</topic><topic>Humans</topic><topic>Information systems</topic><topic>Information Systems - statistics & numerical data</topic><topic>Male</topic><topic>Marriage - psychology</topic><topic>Measurement</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Patient-reported outcomes</topic><topic>PROMIS</topic><topic>Psychiatry</topic><topic>Psychology and medicine</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Risk Factors</topic><topic>Sampling Studies</topic><topic>Sex Factors</topic><topic>Surveys and Questionnaires</topic><topic>United States</topic><topic>US population</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Junghaenel, Doerte U</creatorcontrib><creatorcontrib>Christodoulou, Christopher</creatorcontrib><creatorcontrib>Lai, Jin-Shei</creatorcontrib><creatorcontrib>Stone, Arthur A</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of psychosomatic research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Junghaenel, Doerte U</au><au>Christodoulou, Christopher</au><au>Lai, Jin-Shei</au><au>Stone, Arthur A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative</atitle><jtitle>Journal of psychosomatic research</jtitle><addtitle>J Psychosom Res</addtitle><date>2011-09-01</date><risdate>2011</risdate><volume>71</volume><issue>3</issue><spage>117</spage><epage>123</epage><pages>117-123</pages><issn>0022-3999</issn><eissn>1879-1360</eissn><coden>JPCRAT</coden><abstract>Abstract Objective To investigate demographic correlates of fatigue in the US general population using a new instrument developed by the Patient-Reported Outcome Measurement Information System (PROMIS). First, we examined correlations between the new PROMIS instrument and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and the SF-36v2 Vitality subscale. Based on prior findings, we further examined several demographic correlates of fatigue: whether women would report higher levels of fatigue compared to men, and whether married people would experience lower levels of fatigue compared to unmarried people. We also explored the relationship between age, education, and fatigue. Methods Analyses were based on fatigue ratings by 666 individuals from the general population. Fatigue was assessed with the new PROMIS instrument, the FACIT-F, and the SF-36v2 Vitality subscale. Differences in fatigue were examined with independent samples t -tests and univariate ANOVAs. Results The three fatigue instruments were highly intercorrelated. Confirming prior reports, women reported higher levels of fatigue than men. Married participants reported significantly less fatigue than their unmarried counterparts. Univariate ANOVAs yielded a main effect for participants' age; younger participants gave significantly higher fatigue ratings. We also found a main effect for participants' education. Participants with a masters or doctoral degree had significantly lower ratings of fatigue than participants with some college education and education up to high school. Conclusion Female gender, not being married, younger age and lower educational attainment were each associated with increased fatigue in the general population and the three fatigue instruments performed equally well in detecting the observed associations.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>21843744</pmid><doi>10.1016/j.jpsychores.2011.04.007</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-3999 |
ispartof | Journal of psychosomatic research, 2011-09, Vol.71 (3), p.117-123 |
issn | 0022-3999 1879-1360 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3744100 |
source | Applied Social Sciences Index & Abstracts (ASSIA); ScienceDirect Freedom Collection |
subjects | Adult Age Factors Aged Aged, 80 and over Biological and medical sciences Demographic aspects Demographics Demography Educational Status Fatigue Fatigue - epidemiology Fatigue - etiology Fatigue - psychology Female Functional assessment Fundamental and applied biological sciences. Psychology High schools Humans Information systems Information Systems - statistics & numerical data Male Marriage - psychology Measurement Middle Aged Miscellaneous Patient-reported outcomes PROMIS Psychiatry Psychology and medicine Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Risk Factors Sampling Studies Sex Factors Surveys and Questionnaires United States US population Young Adult |
title | Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T14%3A51%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Demographic%20correlates%20of%20fatigue%20in%20the%20US%20general%20population:%20Results%20from%20the%20patient-reported%20outcomes%20measurement%20information%20system%20(PROMIS)%20initiative&rft.jtitle=Journal%20of%20psychosomatic%20research&rft.au=Junghaenel,%20Doerte%20U&rft.date=2011-09-01&rft.volume=71&rft.issue=3&rft.spage=117&rft.epage=123&rft.pages=117-123&rft.issn=0022-3999&rft.eissn=1879-1360&rft.coden=JPCRAT&rft_id=info:doi/10.1016/j.jpsychores.2011.04.007&rft_dat=%3Cproquest_pubme%3E1558986946%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c662t-3394a5479fba1e85bdc1277e2ee0d96cd01da0f633c6ba88bea2b12fb8d821db3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1558986946&rft_id=info:pmid/21843744&rfr_iscdi=true |