Age and sex variation in prevalence of chronic medical conditions in older residents of U.S. nursing homes

Kelly L Moore, W John Boscardin, Michael A Steinman, Janice B Schwartz, Kelly L Moore, W John Boscardin, Michael A Steinman, Janice B Schwartz

Abstract

Objectives: To investigate patterns in prevalences of chronic medical conditions over the age span of long-term stay nursing home residents and between the sexes with data from the 2004 National Nursing Home Survey (NNHS).

Design: Retrospective, cross-sectional study.

Setting: U.S. nursing homes.

Participants: Nationally representative sample comprising 11,788 long-term stay residents (3,003 (25%) men, 8,785 (75%) women) aged 65 and older.

Measurements: Clinical Classifications Software was used to group International Classification of Diseases, Ninth Revision, codes to identify the 20 most-prevalent chronic medical conditions. SAS survey procedures were used to account for design effects of stratification and clustering to generate nationally representative estimates of prevalences of medical conditions.

Results: Average age was 84, with women older than men (85 vs 81, P = .02) and 67% of women aged 80 to 95. Women required more assistance with activities of daily living. The most frequent chronic medical conditions were hypertension (men 53%, women 56%), dementia (men 45%, women 52%), depression (men 31%, women 37%), arthritis (men 26%, women 35%), diabetes mellitus (men 26%, women 23%), gastroesophageal reflux disease (GERD) (men 23%, women 23%), atherosclerosis (men 24%, women 20%), congestive heart failure (CHF) (men 18%, women 21%), cerebrovascular disease (CVD) (men 24%, women 19%), and anemia (men 17%, women 20%). Sex differences in prevalences existed for all but constipation, GERD, and hypertension. Diabetes mellitus, CVD, and lipid disorders decreased with age in men and women. Atrial fibrillation, anemia, arthritis, CHF, dementia, and thyroid disease increased with age in men and women. Age-related patterns differed between the sexes for diabetes mellitus, hypertension, and Parkinson's disease.

Conclusion: The profile of chronic medical conditions varies over the age span of nursing home residents and differs between men and women. This knowledge should guide educational and care efforts in long-term care.

Conflict of interest statement

Conflict of Interest: The authors do not have any conflict of interest related to the subject matter of the manuscript.

© 2012, Copyright the Authors Journal compilation © 2012, The American Geriatrics Society.

Figures

Figure 1
Figure 1
Prevalence (%) of chronic medical conditions in nursing home residents by age and sex with bars representing standard errors. Data for women are on the left, data for men are on the right. Tick marks across horizontal axes represent the age distribution for the given sex. The top panel presents data on common cardiovascular diseases with data on hyptertension represented by solid circles and long dashed lines (), cerebrovascuar disease repesented by triangles and short dash-dot lines (), CHF=congestive heart failure represented by squares and dotted lines (), atherosclerotic disease represented by×and short dashed lines (), AFIB=atrial fibrillation represented by plus symbols and solid lines (), and LIPID=lipid disorder represented by asterisks and long dash-dot lines (). The middle panel presents data on common organ conditions by organ affected with data on diabetes represented by squares and short dashed lines (), BPH= benign prostatic hyperplasia repesented by plus symbols and long dashed lines (), COPD= chronic obstructive pulmonary disease represented by×and solid lines (), Parkinson’s disease represented by triangles and dotted lines (), renal failure represented by circles and dash-dot lines (). The bottom panel presents data on common geriatric conditions with data on dementia represented by squares and dotted lines (), arthritis repesented by×and and short dashed lines (), anemia represented by plus symbols and solid lines (), thyroid disorders represented by circles and long dashed lines (), and osteoporosis represented by triangles and short dash-dot lines ().

References

    1. Kinsella K, He W. International population reports. Washington DC: U.S. Department of Health and Human Services National Institutes of Health, National Institute on Aging, U.S. Department of Commerce, Economics and Statistics Administration, U.S. Census Bureau; 2009. An aging world: 2008.
    1. Freedman VA, Schoeni RF, Martin LG, et al. Chronic conditions and the decline in late-life disability. Demography. 2007;44:459–477.
    1. Lafortune G, Balestat G, Members DSEG. Trends in Severe Disability Among Elderly People: Assessing the Evidence in 12 OECD Countries and the Future Implications in, OECD Health Working Papers. 2007.
    1. Newman AB, Brach JS. Gender gap in longevity and disability in older persons. Epidemiol Rev. 2001;23:343–350.
    1. Cambois E, Désesquelles A, Ravaud JF. The gender disability gap. Population Soc. 2003;386:1–4.
    1. Kasper J, O'Malley M. Changes in Characteristics, Needs, and Payment for Elderly Nursing Home Residents: 1999 to 2004. Washington, D.C.: Kaiser Family Foundation; 2007.
    1. Chatterjee S, Mehta S, Sherer JT, et al. Prevalence and predictors of anticholinergic medication use in elderly nursing home residents with dementia: Analysis of data from the 2004 National Nursing Home Survey. Drugs Aging. 2010;27:987–997.
    1. Damian J, Pastor-Barriuso R, Valderrama-Gama E. Descriptive epidemiology of undetected depression in institutionalized older people. J Am Med Dir Assoc. 2010;11:312–319.
    1. Joseph J, Koka M, Aronow WS. Prevalence of moderate and severe renal insufficiency in older persons with hypertension, diabetes mellitus, coronary artery disease, peripheral arterial disease, ischemic stroke, or congestive heart failure in an academic nursing home. J Am Med Dir Assoc. 2008;9:257–259.
    1. Juthani-Mehta M, Quagliarello VJ. Infectious diseases in the nursing home setting: Challenges and opportunities for clinical investigation. Clin Infect Dis. 2010;51:931–936.
    1. McClellan WM, Resnick B, Lei L, et al. Prevalence and severity of chronic kidney disease and anemia in the nursing home population. J Am Med Dir Assoc. 2010;11:33–41.
    1. Robinson BE. Epidemiology of chronic kidney disease and anemia. J Am Med Dir Assoc. 2006;7(9 Suppl):S3–S6. quiz S17-21.
    1. Shah SM, Carey IM, Harris T, et al. Identifying the clinical characteristics of older people living in care homes using a novel approach in a primary care database. Age Ageing. 2010;39:617–623.
    1. Zhang X, Decker FH, Luo H, et al. Trends in the prevalence and comorbidities of diabetes mellitus in nursing home residents in the United States: 1995–2004. J Am Geriatr Soc. 2010;58:724–730.
    1. Jones A, Dwyer L, Bercovitz A, et al. The National Nursing Home Survey: 2004 overview. Vital Health Stat. 2009;167:1–155.
    1. Jones A. The National Nursing Home Survey: 1999 summary. Vital Health Stat. 2002;152:1–116.
    1. Hosmer DW, Lemeshow S. Wiley series in probability and statistics texts and references section. xii. New York: Wiley; 2000. Applied logistic regression. 2nd ed; p. 373.
    1. Benjamini Y, Yekutieli D. Quantitative trait Loci analysis using the false discovery rate. Genetics. 2005;171:783–790.
    1. U.S. Department of Health and Human Services and U.S. Department of Labor. The future supply of long-term care workers in relation to the aging baby boom generation: Report to Congress. Washington, DC: U.S. Government Printing Offic; 2003. Available from: .
    1. Gaugler J, Duval S, Anderson K, et al. Predicting nursing home admission in the U.S.: A meta-analysis. BMC Geriatr. 2007;7:13.
    1. Gaugler J, Yu F, Krichbaum K, et al. Predictors of nursing home admission for persons with dementia. Med Care. 2009;47:191–198.
    1. Luppa M, Luck T, Weyerer S, et al. Prediction of institutionalization in the elderly. A systematic review. Age Ageing. 2010;39:31–38.
    1. Van Rensbergen G, Nawrot T. Medical conditions of nursing home admissions. BMC Geriatr. 2010;10:46.
    1. Karkare S, Bhattacharjee S, Kamble P, et al. Prevalence and predictors of antidepressant prescribing in nursing home residents in the United States. Am J Geriatr Pharmacother. 2011;2:109–119.
    1. Seitz D, Gruneir A, Conn D, et al. Cholinesterase inhibitor use in U.S. nursing homes: Results from the national nursing home survey. J Am Geriatr Soc. 2009;57:2269–2274.
    1. Seitz D, Purandare N, Conn D. Prevalence of psychiatric disorders among older adults in long-term care homes: A systematic review. Int Psychogeriatr. 2010;22:1025–1039.
    1. Schwartz J, Zipes D. Cardiovascular disease in the elderly. In: Bonow R, editor. Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine. Philadelphia: Elsevier Sauders; 2011.
    1. Legato M, Bilezikian J, editors. Principles of Gender-specific Medicine. Elsevier Academic Press; 2004. p. 1245.
    1. Wirdefeldt K, Adami H, Cole P, et al. Epidemiology and etiology of Parkinson's disease: a review of the evidence. Eur J Epidemiol. 2011;(Suppl 1):S1–S58.
    1. Voskuhl R. Sex differences in autoimmune diseases. Biol Sex Differ. 2011;2:1.
    1. Briesacher B, Doshi J, Stuart B, et al. Medication Use in Long-term Care Facilities and Community Settings for Medicare Beneficiaries with Cardiovascular Disease. USDHHS, Office of the Assistant Secretary for Planning and Evaluation; 2002.
    1. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 2003;26(Suppl 1):S5–S20.
    1. Brown AF, Mangione CM, Saliba D, et al. Guidelines for improving the care of the older person with diabetes mellitus. J Am Geriatr Soc. 2003;51(5 Suppl):S265–S280.

Source: PubMed

3
Tilaa