Barry J. Gurland
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Barry J. Gurland has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
Brenda L. Plassman
Department of Psychiatry Duke University Medical Center Durham North Carolina
1 shared publicationEthel Mitty
Columbia University Stroud Center for Study of Quality of Life, New YorkUSA
1 shared publicationHuai Cheng
Anderson Cancer Center, Houston, TX, USA
1 shared publicationJeanne A. Teresi
Stroud Centre, Columbia University, New York, NY USA
1 shared publicationJohn Toner
Columbia University Stroud Center for Study of Quality of Life, New YorkUSA
1 shared publicationJoseph P. Eimicke
Research Division, Hebrew Home at Riverdale, Riverdale, NY USA
1 shared publication
Latest Publications
- Open Access
- 29 October 2013
- Published by Wiley in International Journal of Geriatric Psychiatry
- Vol. 29 (5) , 533-45
Quality of life impacts on 16-year survival of an older ethnically diverse cohort.
- 29 October 2013
- Published by Wiley in International Journal of Geriatric Psychiatry
- Vol. 29 (5) , 533-45
Open AccessQuality of life impacts on 16-year survival of an older ethnically diverse cohort.
- Open Access
- 1 August 2010
- Published by Taylor & Francis in Patient Related Outcome Measures
- Vol. 1, 73-80
Health-related restrictions of choices and choosing: implications for quality of life and clinical interventions
Peer reviewed article authored by (Barry J Gurland, Huai Cheng, Mathew S Maurer). Read article or submit your manuscript for publishing.
- 1 August 2010
- Published by Taylor & Francis in Patient Related Outcome Measures
- Vol. 1, 73-80
Open AccessHealth-related restrictions of choices and choosing: implications for quality of life and clinical interventions
Peer reviewed article authored by (Barry J Gurland, Huai Cheng, Mathew S Maurer). Read article or submit your manuscript for publishing.
- 1 January 2009
- Published by Taylor & Francis in Journal of Interprofessional Care
- Vol. 23 (2) , 110-120
The choices, choosing model of quality of life: Clinical evaluation and intervention
Two previous papers presented a conjectured model of quality of life featuring the personal management of accessing choices and choosing among them (the c-c process). Those papers made the case that this model unifies the pathways leading to impaired quality of life, especially with regard to age associated multiple co-morbidities, changes in perception and functioning, and the effects of long term care environments; it also introduces a science base for understanding and guiding interventions that can assist people to achieve their quality-of-life goals. Our aim in this paper is to outline interprofessional strategies that could relieve restrictions or distortions of the c-c process imposed by aging, ill-health, or a restricting environment. We do so by outlining potential deficits in the c-c process and matching these with restorative person-centered interprofessional interventions including interprofessional teamwork. Findings suggest that interprofessional assessment and team work is well suited to assisting the c-c process. We conclude that the groundwork has been prepared for developing training programs and clinical trials for interprofessional interventions targeting the c-c process.
- 1 January 2009
- Published by Taylor & Francis in Journal of Interprofessional Care
- Vol. 23 (2) , 110-120
The choices, choosing model of quality of life: Clinical evaluation and intervention
Two previous papers presented a conjectured model of quality of life featuring the personal management of accessing choices and choosing among them (the c-c process). Those papers made the case that this model unifies the pathways leading to impaired quality of life, especially with regard to age associated multiple co-morbidities, changes in perception and functioning, and the effects of long term care environments; it also introduces a science base for understanding and guiding interventions that can assist people to achieve their quality-of-life goals. Our aim in this paper is to outline interprofessional strategies that could relieve restrictions or distortions of the c-c process imposed by aging, ill-health, or a restricting environment. We do so by outlining potential deficits in the c-c process and matching these with restorative person-centered interprofessional interventions including interprofessional teamwork. Findings suggest that interprofessional assessment and team work is well suited to assisting the c-c process. We conclude that the groundwork has been prepared for developing training programs and clinical trials for interprofessional interventions targeting the c-c process.
- Open Access
- 1 August 2004
- Published by Oxford University Press (OUP) in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
- Vol. 59 (8) , M859-M863
A Twin Study of the Genetic Contribution to Age-Related Functional Impairment
Background. A key element in the quality of later life is the prevalence of age-related functional impairments. The objective of this study was to quantify the genetic and environmental influences on age-related functional impairment in a population of white male twin elders who were fit in young adulthood when entering military service. The extent of genetic influence on functioning in later life affects the role of public health, personal initiative, and service interventions. Methods. Indicators of functional impairment were determined by telephone survey and by twin pair responses to 10 indicators of basic, instrumental, and social activities, and mobility. Responses were analyzed using structural equation modeling. Prevalence and concordances were determined by zygosity status. Covariance was partitioned between twins in a pair into components attributable to additive genetics, common environment, and unique environment. Results. Data from 2721 twin pairs (1384 monozygotic and 1337 dizygotic) were analyzed for the 10 dichotomous indicators of functional impairment and for a subscale of 8 of these indicators. For the subscale, additive genes accounted for approximately 21% of covariance in liability for a higher score, whereas unique environment accounted for approximately 78% of variance, with age accounting for a very small proportion. In two indicators there were nontrivial effects of common environment. Conclusions. Within the expressed limits on generalization, the study findings suggest a major potential role for interventions aimed at a person's unique environment to maintain good functioning in aging and to lengthen the period of active life. Genetic effects play a modest but also important role in age-related functional impairment.
- 1 August 2004
- Published by Oxford University Press (OUP) in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
- Vol. 59 (8) , M859-M863
Open AccessA Twin Study of the Genetic Contribution to Age-Related Functional Impairment
Background. A key element in the quality of later life is the prevalence of age-related functional impairments. The objective of this study was to quantify the genetic and environmental influences on age-related functional impairment in a population of white male twin elders who were fit in young adulthood when entering military service. The extent of genetic influence on functioning in later life affects the role of public health, personal initiative, and service interventions. Methods. Indicators of functional impairment were determined by telephone survey and by twin pair responses to 10 indicators of basic, instrumental, and social activities, and mobility. Responses were analyzed using structural equation modeling. Prevalence and concordances were determined by zygosity status. Covariance was partitioned between twins in a pair into components attributable to additive genetics, common environment, and unique environment. Results. Data from 2721 twin pairs (1384 monozygotic and 1337 dizygotic) were analyzed for the 10 dichotomous indicators of functional impairment and for a subscale of 8 of these indicators. For the subscale, additive genes accounted for approximately 21% of covariance in liability for a higher score, whereas unique environment accounted for approximately 78% of variance, with age accounting for a very small proportion. In two indicators there were nontrivial effects of common environment. Conclusions. Within the expressed limits on generalization, the study findings suggest a major potential role for interventions aimed at a person's unique environment to maintain good functioning in aging and to lengthen the period of active life. Genetic effects play a modest but also important role in age-related functional impairment.