Disability incidence and functional decline among older adults with major chronic diseases

Joelle H Fong, Joelle H Fong

Abstract

Background: More than 80% of elderly Americans have at least one chronic disease. While past studies have shown that hierarchical patterns of functional loss may differ by gender and institutional settings, little is known about whether such patterns differ in relation to chronic health condition. The aim of this study is to investigate the pattern of functional loss among older adults with major chronic illnesses, and to compare their onset and ordering of incident ADL disability with those of persons without such conditions.

Methods: We use a nationally representative sample of persons aged 80+ from the 1998-2014 Asset and Health Dynamics of the Oldest Old survey. The group with major noncommunicable diseases (including cardiovascular disease, cancer, chronic respiratory disease, and diabetes) comprises 3,514,052 subjects, while the comparison group comprises 1,073,263 subjects. Self-reports of having difficulty with six distinct ADLs are used to estimate disability incidence rate. Nonparametric statistical methods are used to derive median onset ages and ADL loss sequence separately for each group.

Results: Older adults with major chronic diseases have higher rates of incident disability across all ADL items. Estimated median onset ages of ADL disabilities for the full sample range from 91.5 to 95.6. Disability occurs earlier for chronically ill persons (onset ages 91.1-95.0) than for those in the comparison group (onset ages 93.5-98.1). Among those with major chronic diseases, the ADL loss sequence ordered by median ages of disability onset is bathing, walking, dressing, toileting, transferring and eating. The activities are also distinctly separated into an early-loss cluster and a late-loss cluster. Although the loss sequence derived for the comparison group is largely similar, disability progression for those with major chronic diseases is compressed within a shorter timeframe and the timing gaps between adjacent disabilities are smaller.

Conclusions: Older Americans with major noncommunicable diseases face an earlier and steeper slope of functional decline. Chronic care delivery programs should adapt to dynamic changes in older patients' functional status. Health interventions to help patients delay disability onset and optimize functional autonomy within emerging models of chronic care should especially target early-loss activities such as bathing, dressing, and walking.

Keywords: ADL disability; Aging; Disability incidence; Longitudinal research; Oldest old.

Conflict of interest statement

The author declares that she has no competing interests.

Figures

Fig. 1
Fig. 1
Age distributions of onset by ADL disability. Panel a Subjects with major chronic conditions. Panel b Subjects without major chronic conditions. Notes: Weighted estimates using baseline individual-level weights. The weighted population of the risk group with major chronic condition over 1998–2014 comprises 3,514,052 subjects (unweighted: 1203), while the comparison risk group comprises 1,073,263 subjects (unweighted: 401).
Fig. 2
Fig. 2
Onset age of ADL disabilities for those with and without major chronic conditions. Notes: The weighted population of the risk group with major chronic condition over 1998–2014 comprises 3,514,052 subjects (unweighted: 1203), while the comparison risk group comprises 1,073,263 subjects (unweighted: 401)

References

    1. Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. JAMA. 1963;185(12):914–919. doi: 10.1001/jama.1963.03060120024016.
    1. Kempen GI, Myers AM, Powell LE. Hierarchical structure in ADL and IADL: analytical assumptions and applications for clinicians and researchers. J Clin Epidemiol. 1995;48(11):1299–1305. doi: 10.1016/0895-4356(95)00043-7.
    1. Dunlop DD, Hughes SL, Manheim LM. Disability in activities of daily living: patterns of change and a hierarchy of disability. Am J Public Health. 1997;87(3):378–383. doi: 10.2105/AJPH.87.3.378.
    1. Spector WD, Fleishman JA. Combining activities of daily living with instrumental activities of daily living to measure functional disability. J Gerontol B Psychol Sci Soc Sci. 1998;53(1):S46–S57. doi: 10.1093/geronb/53B.1.S46.
    1. Jagger C, Arthur AJ, Spiers NA, Clarke M. Patterns of onset of disability in activities of daily living with age. J Am Geriatr Soc. 2001;49(4):404–409. doi: 10.1046/j.1532-5415.2001.49083.x.
    1. Finlayson M, Mallinson T, Barbosa VM. Activities of daily living (ADL) and instrumental activities of daily living (IADL) items were stable over time in a longitudinal study on aging. J Clin Epidemiol. 2005;58(4):338–349. doi: 10.1016/j.jclinepi.2004.10.008.
    1. Fieo RA, Austin EJ, Starr JM, Deary IJ. Calibrating ADL-IADL scales to improve measurement accuracy and to extend the disability construct into the preclinical range: a systematic review. BMC Geriatr. 2011;11(1):42. doi: 10.1186/1471-2318-11-42.
    1. Morris JN, Berg K, Fries BE, Steel K, Howard EP. Scaling functional status within the interRAI suite of assessment instruments. BMC Geriatr. 2013;13(1):128. doi: 10.1186/1471-2318-13-128.
    1. Fong JH, Feng J. Patterns of functional disability among the oldest-old in China. J Am Geriatr Soc. 2016;64(9):1890–1894. doi: 10.1111/jgs.14264.
    1. Lazaridis EN, Rudberg MA, Furner SE, Cassel CK. Do activities of daily living have a hierarchical structure? An analysis using the longitudinal study of aging. J Gerontol. 1994;49(2):M47–M51. doi: 10.1093/geronj/49.2.M47.
    1. Nasser R, Doumit J. Validity and reliability of the Arabic version of activities of daily living (ADL) BMC Geriatr. 2009;9(1):11. doi: 10.1186/1471-2318-9-11.
    1. Fong JH, Feng J. Comparing the loss of functional independence of older adults in the U.S. and China. Arch Gerontol Geriatr. 2018;74:123–127. doi: 10.1016/j.archger.2017.10.020.
    1. Fried LP, Guralnik JM. Disability in older adults: evidence regarding significance, etiology, and risk. J Am Geriatr Soc. 1997;45(1):92–100. doi: 10.1111/j.1532-5415.1997.tb00986.x.
    1. Dunlop DD, Manheim LM, Sohn MW, Liu X, Chang RW. Incidence of functional limitation in older adults: the impact of gender, race, and chronic conditions. Arch Phys Med Rehabil. 2002;83(7):964–971. doi: 10.1053/apmr.2002.32817.
    1. Gregg EW, Mangione CM, Cauley JA, Thompson TJ, Schwartz AV, Ensrud KE, et al. Diabetes and incidence of functional disability in older women. Diabetes Care. 2002;25(1):61–67. doi: 10.2337/diacare.25.1.61.
    1. Centers for Disease Control and Prevention. About chronic diseases. Hyattsville; 2017. . Accessed 11 Jan 2019
    1. Lopez AD, Williams TN, Levin A, Tonelli M, Singh JA, Burney PG, et al. Remembering the forgotten non-communicable diseases. BMC Med. 2014;12(1):200. doi: 10.1186/s12916-014-0200-8.
    1. National Center for Health Statistics, NCHS. Health, United States, 2016: with chartbook in long-term trends in health. Government Printing Office: Hyattsville; 2017.
    1. World Health Organization, WHO. Noncommunicable diseases Progress monitor 2017. Geneva; 2017. . Accessed 11 Jan 2019
    1. Health and Retirement Study, HRS . Documentation of physical functioning measured in the health and retirement study and the asset and health dynamics among the oldest old study. Ann Arbor: University of Michigan; 2004.
    1. Freedman VA, Aykan H, Martin LG. Another look at aggregate changes in severe cognitive impairment: further investigation into the cumulative effects of three survey design issues. J Gerontol Ser B Psychol Sci Soc Sci. 2002;57(2):S126–S131. doi: 10.1093/geronb/57.2.S126.
    1. Health and Retirement Study, HRS . Sample sizes and response rates. Ann Arbor: University of Michigan; 2017.
    1. Fong JH, Mitchell OS, Koh BS. Disaggregating activities of daily living limitations for predicting nursing home admission. Health Serv Res. 2015;50(2):560–578. doi: 10.1111/1475-6773.12235.
    1. Turnbull BW. The empirical distribution function with arbitrarily grouped, censored and truncated data. J Roy Stat Soc B Met. 1976;38(3):290–295.
    1. Salive ME, Collins KS, Foley DJ, George LK. Predictors of nursing home admission in a biracial population. Am J Public Health. 1993;83(12):1765–1767. doi: 10.2105/AJPH.83.12.1765.
    1. Gaugler JE, Duval S, Anderson KA, Kane RL. Predicting nursing home admission in the U.S: a meta-analysis. BMC Geriatr. 2007;7(13). 10.1186/1471-2318-7-13.
    1. Freedman VA, Crimmins E, Schoeni RF, Spillman BC, Aykan H, Kramarow E, et al. Resolving inconsistencies in trends in old-age disability: report from a technical working group. Demography. 2004;41(3):417–441. doi: 10.1353/dem.2004.0022.

Source: PubMed

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