scholarly journals Narcolepsy and the Sickness Impact Profile: A general health status measure

Sleep Science ◽  
2014 ◽  
Vol 7 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Thanh G.N. Ton ◽  
Nathaniel F. Watson ◽  
Thomas D. Koepsell ◽  
William T. Longstreth
Keyword(s):  
Health Status ◽  
General Health ◽  
Sickness Impact Profile ◽  
General Health Status ◽  
Health Status Measure ◽  
Status Measure

The Sickness Impact Profile: Conceptual Formulation and Methodology for the Development of a Health Status Measure

1976 ◽  
Vol 6 (3) ◽  
pp. 393-415 ◽  
Author(s):  
Marilyn Bergner ◽  
Ruth A. Bobbitt ◽  
Shirley Kressel ◽  
William E. Pollard ◽  
Betty S. Gilson ◽  
...  
Keyword(s):  
Health Status ◽  
Developmental Stage ◽  
Sickness Impact Profile ◽  
Sickness Behavior ◽  
Methodological Development ◽  
Health Status Measure ◽  
Status Measure ◽  
Conceptual Formulation ◽  
Prototype Instrument

The development of a health status measure, the Sickness Impact Profile (SIP), is described in terms of both its conceptualization and methodology. The need for a health status measure that is sensitive and appropriate, based on sickness-related behavior, and culturally unbiased, is discussed. A model of sickness behavior is presented as a guide for methodological development. The description of the initial developmental stage of the SIP includes detailed discussion and documentation of the collection, sorting and grouping of items that comprise the SIP, scaling of the items, scoring of the instrument, and testing and revision of the prototype instrument. Results of preliminary tests of reliability, validity, and administrative feasibility are presented. Subsequent steps in revision and finalization, now under way, are outlined.

The Sickness Impact Profile; Reliability of a Health Status Measure

Medical Care ◽  
1976 ◽  
Vol 14 (2) ◽  
pp. 146-155 ◽  
Author(s):  
William E. Pollard ◽  
Ruth A. Bobbitt ◽  
Marilyn Bergner ◽  
Dlane P. MARTIN ◽  
Betty S. Gilson
Keyword(s):  
Health Status ◽  
Sickness Impact Profile ◽  
Health Status Measure ◽  
Status Measure

The Sickness Impact Profile: Validation of a Health Status Measure

Medical Care ◽  
1976 ◽  
Vol 14 (1) ◽  
pp. 57-67 ◽  
Author(s):  
Marilyn Bergner ◽  
Ruth A. Bobbitt ◽  
William E. Pollard ◽  
Diane P. Martin ◽  
Betty S. Gilson
Keyword(s):  
Health Status ◽  
Sickness Impact Profile ◽  
Health Status Measure ◽  
Status Measure

The Sickness Impact Profile: Conceptual Formulation and Methodology for the Development of a Health Status Measure

2019 ◽  
pp. 9-31
Author(s):  
Marilyn Bergner ◽  
Ruth A. Bobbitt ◽  
Shirley Kressel ◽  
William E. Pollard ◽  
Betty S. Gilson ◽  
...  
Keyword(s):  
Health Status ◽  
Sickness Impact Profile ◽  
Health Status Measure ◽  
Status Measure ◽  
Conceptual Formulation

The Sickness Impact Profile: Development and Final Revision of a Health Status Measure

Medical Care ◽  
1981 ◽  
Vol 19 (8) ◽  
pp. 787-805 ◽  
Author(s):  
Marilyn Bergner ◽  
Ruth A. Bobbitt ◽  
William B. Carter ◽  
Betty S. Gilson
Keyword(s):  
Health Status ◽  
Sickness Impact Profile ◽  
Health Status Measure ◽  
Status Measure ◽  
Profile Development

Aircraft Noise Levels, Annoyance and General Health of Residents of Communities contiguous to a Major Airport in Lagos State

2020 ◽  
Vol 8 (4) ◽  
pp. 47-59
Author(s):  
Iheanyichukwu M. Elechi
Keyword(s):  
Health Status ◽  
General Health ◽  
Noise Exposure ◽  
Aircraft Noise ◽  
Poor Health ◽  
Noise Levels ◽  
General Health Status ◽  
Lagos State ◽  
Distant Location ◽  
Self Reported Health Status

The purpose of this study was to investigate the relationship between the aircraft noise exposure, annoyance reactions and health status of the residents living within the vicinity of the Murtala Muhammed International Airport (MMA) in Lagos state, Nigeria. Aircraft noise monitoring was conducted in five locations within the vicinity (0-5Km) of MMA, and a sixth distant location (14km away). Levels of aircraft noise for all five locations within the vicinity of the airport exceeded the EPA Victoria threshold of 75 dB LAmax for the residential area (outdoor). A survey on annoyance induced by aircraft noise exposure and general health status was conducted on 450 local residents in the study locations using the International Commission on Biological Effect of Noise question and a single question that has been applied in Dutch national health care surveys since 1983 on self-reported general health status respectively. Percentage of residents within the vicinity of MMA that were highly annoyed (%HA) exceeded 15% guideline limit stipulated by Federal Interagency Committee on Urban Noise while 14.5% reported poor health status. There was a significant association between the annoyance reactions and aircraft noise levels in the study locations while the association between self-reported health status and aircraft noise levels was not significant. Taken together, the residents within the vicinity of the airport are exposed to aircraft noise levels above permissible limit which may be associated with high annoyance reaction but may not be associated with poor health rating. Evidence-based aircraft noise related policies by government are advocated.

Time Trends in Inequalities in Health

1988 ◽  
Vol 20 (3) ◽  
pp. 265-274 ◽  
Author(s):  
Roy A. Carr-Hill
Keyword(s):  
Health Status ◽  
Time Trends ◽  
Social Inequalities ◽  
Group Analysis ◽  
Health Status Measure ◽  
Inequalities In Health ◽  
Current Trends ◽  
Current Health Status ◽  
Status Measure ◽  
A Current

SummaryThe conventional belief since the publication of the Black Report is that social inequalities in health have been increasing since 1931–32 although it has been argued that the measure of inequality used is inappropriate. All analyses have been based on mortality rates which, in large part, reflect inequalities in health over the previous 50 years and not current trends. This paper argues that time trends should be assessed with a current health status measure and suggests using height at age 20 as a good measure of the achieved health status of a group. Analysis of a government survey shows that inequalities have stayed the same since 1940, both for men classified by their own occupation and for women classified by their father's occupation.

Sleep quality and its correlation to general health status in health care students

2011 ◽  
Vol 26 (S2) ◽  
pp. 1565-1565 ◽  
Author(s):  
A. Sahraian ◽  
A. Javadpour ◽  
A. Mani
Keyword(s):  
Health Care ◽  
Health Status ◽  
Sleep Quality ◽  
General Health ◽  
Sleep Disruption ◽  
Poor Sleep ◽  
General Health Status ◽  
Health Care Students ◽  
Quality Sleep ◽  
Health Related

IntroductionSleep-wake cycle is one of human biological rhythm highly correlated to well being and general health status.Poor sleep quality, sleep disruption and changes in regular Sleep-wake pattern may cause physical and psychological burden such as impairment in job performance, decreased work efficiency and learning disability.ObjectiveHealth care students trained in medical, nursing and midwifery fields is a population who are at great risk to develop sleep disruption and its subsequent physical and mental morbidity.AimThe aim of this study was to describe how sleep quality correlated to general health status among 280 health care students.Methods280 health care students studying in health related fields participated in this cross section study. Pittsburg sleep quality index (PSQI), sleep- wake questionnaire and the general health questionnaire (GHQ) administered to gather data describing sleep quality, sleep wake disruption and the general health status.ResultsPreliminary results showed that 61.4% of subjects defined as poor sleeper. In further co relational analysis there was a significant correlation between sleep quality and general health status (r = .6, p = . 000, n = 280). Regression analysis showed that number of nights with sleep disruption due to shift work or academic needs was a strong predictor for both poor sleep quality and general health status.ConclusionIn conclusion, Sleep disruption due to shift work or other academic demands is a predictor for poor sleep and its subsequent mental health morbidity, which should be considered as a part of mental health policy for health related college students.

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