Literature DB >> 9119546

Co-morbidity analysis: a strategy for understanding mortality, disability and use of health care facilities of older people.

J C Cornoni-Huntley1, D J Foley, J M Guralnik.   

Abstract

Older people often have several co-existing health problems. The type, number, duration and severity of these problems may have an impact on longevity and maintenance of independence. Analyses of co-morbidity can assess the additive or multiplicative effect of more than one chronic condition or impairment on the risks of mortality, loss of functioning and use of health services. Three major surveys of the elderly, initiated in the past ten years, provide data for studying the added burden of multiple morbidities. These surveys are: The National Health Interview Survey-Supplement on Aging; The National Health and Nutrition Examination Survey I-Epidemiologic Follow-up Study; and The Established Populations for Epidemiologic Studies of the Elderly. Results of analyses of co-morbidity using data from these three surveys are presented. Although each analysis used a different definitional approach to estimate the co-morbidity effect, each demonstrated an associated or increased risk on the outcome.

Entities:  

Mesh:

Year:  1991        PMID: 9119546

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  11 in total

1.  Rural Residents' Perspectives on Multiple Morbidity Management and Disease Prevention.

Authors:  Shoshana H Bardach; Nancy E Schoenberg; Yelena N Tarasenko; Steven T Fleming
Journal:  J Appl Gerontol       Date:  2011-12

2.  From Bedside to Bench: summary from the American Geriatrics Society/National Institute on Aging Research Conference on Comorbidity and Multiple Morbidity in Older Adults.

Authors:  Cynthia M Boyd; Christine S Ritchie; Edmond F Tipton; Stephanie A Studenski; Darryl Wieland
Journal:  Aging Clin Exp Res       Date:  2008-06       Impact factor: 3.636

3.  The Role of Primary Care Providers in Encouraging Older Patients to Change Their Lifestyle Behaviors.

Authors:  Shoshana H Bardach; Nancy E Schoenberg
Journal:  Clin Gerontol       Date:  2017-12-08       Impact factor: 2.619

4.  Do disease specific characteristics add to the explanation of mobility limitations in patients with different chronic diseases? A study in The Netherlands.

Authors:  D M Kriegsman; D J Deeg; J T van Eijk; B W Penninx; A J Boeke
Journal:  J Epidemiol Community Health       Date:  1997-12       Impact factor: 3.710

5.  The health status: the ignored risk factor in dementia incidence. NEDICES cohort.

Authors:  Félix Bermejo-Pareja; Agustín Gómez de la Cámara; Teodoro Del Ser; Israel Contador; Sara Llamas-Velasco; Jesús María López-Arrieta; Cristina Martín-Arriscado; Jesús Hernández-Gallego; Saturio Vega; Julián Benito-León
Journal:  Aging Clin Exp Res       Date:  2022-01-13       Impact factor: 3.636

Review 6.  Patient-Centred Care of Older Adults With Cardiovascular Disease and Multiple Chronic Conditions.

Authors:  Dae Hyun Kim; Michael W Rich
Journal:  Can J Cardiol       Date:  2016-04-20       Impact factor: 5.223

Review 7.  [Multimorbidity: concept, epidemiology and treatment].

Authors:  R Dodel
Journal:  Nervenarzt       Date:  2014-04       Impact factor: 1.214

8.  Physical and Cognitive Function Assessment to Predict Postoperative Outcomes of Abdominal Surgery.

Authors:  Martha Ruiz; Miguel Peña; Audrey Cohen; Hossein Ehsani; Bellal Joseph; Mindy Fain; Jane Mohler; Nima Toosizadeh
Journal:  J Surg Res       Date:  2021-07-09       Impact factor: 2.192

9.  The effect of different public health interventions on longevity, morbidity, and years of healthy life.

Authors:  Paula Diehr; Ann Derleth; Liming Cai; Anne B Newman
Journal:  BMC Public Health       Date:  2007-04-05       Impact factor: 3.295

10.  An institutional ethnography of chronic pain management in family medicine (COPE) study protocol.

Authors:  Fiona Webster; Onil Bhattacharyya; Aileen Davis; Rick Glazier; Joel Katz; Paul Krueger; Ross Upshur; Albert Yee; Lynn Wilson
Journal:  BMC Health Serv Res       Date:  2015-11-05       Impact factor: 2.655

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