Sickness Impact Profile

"Sickness Impact Profile" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

A quality-of-life scale developed in the United States in 1972 as a measure of health status or dysfunction generated by a disease. It is a behaviorally based questionnaire for patients and addresses activities such as sleep and rest, mobility, recreation, home management, emotional behavior, social interaction, and the like. It measures the patient's perceived health status and is sensitive enough to detect changes or differences in health status occurring over time or between groups. (From Medical Care, vol.xix, no.8, August 1981, p.787-805)

Descriptor ID	D018434
MeSH Number(s)	E05.318.308.980.438.475.730 N05.715.360.300.800.438.375.730 N06.850.520.308.980.438.475.730
Concept/Terms	Sickness Impact Profile Sickness Impact Profile Impact Profile, Sickness Impact Profiles, Sickness Profile, Sickness Impact Profiles, Sickness Impact Sickness Impact Profiles

Below are MeSH descriptors whose meaning is more general than "Sickness Impact Profile".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Data Collection [E05.318.308]
Surveys and Questionnaires [E05.318.308.980]
Health Surveys [E05.318.308.980.438]
Health Status Indicators [E05.318.308.980.438.475]
Sickness Impact Profile [E05.318.308.980.438.475.730]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Data Collection [N05.715.360.300]
Surveys and Questionnaires [N05.715.360.300.800]
Health Surveys [N05.715.360.300.800.438]
Health Status Indicators [N05.715.360.300.800.438.375]
Sickness Impact Profile [N05.715.360.300.800.438.375.730]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Data Collection [N06.850.520.308]
Surveys and Questionnaires [N06.850.520.308.980]
Health Surveys [N06.850.520.308.980.438]
Health Status Indicators [N06.850.520.308.980.438.475]
Sickness Impact Profile [N06.850.520.308.980.438.475.730]

Below are MeSH descriptors whose meaning is related to "Sickness Impact Profile".

Below are MeSH descriptors whose meaning is more specific than "Sickness Impact Profile".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "Sickness Impact Profile" by people in this website by year, and whether "Sickness Impact Profile" was a major or minor topic of these publications.

Bar chart showing 24 publications over 14 distinct years, with a maximum of 5 publications in 2013

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1995	1	0	1
1996	0	1	1
2000	1	0	1
2001	1	0	1
2002	1	0	1
2003	0	1	1
2004	1	2	3
2005	1	1	2
2006	2	0	2
2007	0	2	2
2008	0	2	2
2009	0	1	1
2013	4	1	5
2015	0	1	1

Below are the most recent publications written about "Sickness Impact Profile" by people in Profiles.

Soler ZM, Hyer JM, Ramakrishnan V, Smith TL, Mace J, Rudmik L, Schlosser RJ. Identification of chronic rhinosinusitis phenotypes using cluster analysis. Int Forum Allergy Rhinol. 2015 May; 5(5):399-407.

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Graham CD, Weinman J, Sadjadi R, Chalder T, Petty R, Hanna MG, Turner C, Parton M, Maddison P, Radunovic A, Longman C, Robb Y, Bushby K, Hilton-Jones D, Rose MR. A multicentre postal survey investigating the contribution of illness perceptions, coping and optimism to quality of life and mood in adults with muscle disease. Clin Rehabil. 2014 May; 28(5):508-19.

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Joffe NE, Lynch-Jordan A, Ting TV, Arnold LM, Hashkes PJ, Lovell DJ, Passo MH, Powers SW, Schikler KN, Kashikar-Zuck S. Utility of the PedsQL rheumatology module as an outcome measure in juvenile fibromyalgia. Arthritis Care Res (Hoboken). 2013 Nov; 65(11):1820-7.

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Simpson KN, Hanson KA, Harding G, Haider S, Tawadrous M, Khachatryan A, Pashos CL, Wu AW. Review of the impact of NNRTI-based HIV treatment regimens on patient-reported disease burden. AIDS Care. 2014 Apr; 26(4):466-75.

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Velozo CA, Warren M, Hicks E, Berger KA. Generating clinical outputs for self-reports of visual functioning. Optom Vis Sci. 2013 Aug; 90(8):765-75.

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Marrero D, Pan Q, Barrett-Connor E, de Groot M, Zhang P, Percy C, Florez H, Ackermann R, Montez M, Rubin RR. Impact of diagnosis of diabetes on health-related quality of life among high risk individuals: the Diabetes Prevention Program outcomes study. Qual Life Res. 2014 Feb; 23(1):75-88.

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Rodrigue JR, Balistreri W, Haber B, Jonas MM, Mohan P, Molleston JP, Murray KF, Narkewicz MR, Rosenthal P, Smith LJ, Schwarz KB, Robuck P, Barton B, González-Peralta RP. Impact of hepatitis C virus infection on children and their caregivers: quality of life, cognitive, and emotional outcomes. J Pediatr Gastroenterol Nutr. 2009 Mar; 48(3):341-7.

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Morone NE, Lynch CS, Greco CM, Tindle HA, Weiner DK. "I felt like a new person." the effects of mindfulness meditation on older adults with chronic pain: qualitative narrative analysis of diary entries. J Pain. 2008 Sep; 9(9):841-8.

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Sharma N, Agrawal A, Freeman J, Vela MF, Castell D. An analysis of persistent symptoms in acid-suppressed patients undergoing impedance-pH monitoring. Clin Gastroenterol Hepatol. 2008 May; 6(5):521-4.

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Forman-Hoffman VL, Peloso PM, Black DW, Woolson RF, Letuchy EM, Doebbeling BN. Chronic widespread pain in veterans of the first Gulf War: impact of deployment status and associated health effects. J Pain. 2007 Dec; 8(12):954-61.

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