Skip to main content

Advertisement

Log in

Financial Exploitation of Older Adults: A Population-Based Prevalence Study

  • Original Research
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

A Capsule Commentary to this article was published on 26 August 2014

ABSTRACT

BACKGROUND

Financial exploitation is the most common and least studied form of elder abuse. Previous research estimating the prevalence of financial exploitation of older adults (FEOA) is limited by a broader emphasis on traditional forms of elder mistreatment (e.g., physical, sexual, emotional abuse/neglect).

OBJECTIVES

1) estimate the one-year period prevalence and lifetime prevalence of FEOA; 2) describe major FEOA types; and 3) identify factors associated with FEOA.

DESIGN

Prevalence study with a random, stratified probability sample.

PARTICIPANTS

Four thousand, one hundred and fifty-six community-dwelling, cognitively intact adults age ≥ 60 years.

SETTING

New York State.

MAIN MEASURES

Comprehensive tool developed for this study measured five FEOA domains: 1) stolen or misappropriated money/property; 2) coercion resulting in surrendering rights/property; 3) impersonation to obtain property/services; 4) inadequate contributions toward household expenses, but respondent still had enough money for necessities and 5) respondent was destitute and did not receive necessary assistance from family/friends.

KEY RESULTS

One-year period FEOA prevalence was 2.7 % (95 % CI, 2.29–3.29) and lifetime prevalence was 4.7 % (95 % CI, 4.05–5.34). Greater relative risk (RR) of one-year period prevalence was associated with African American/black race (RR, 3.80; 95 % CI, 1.11–13.04), poverty (RR, 1.72; 95 % CI, 1.09–2.71), increasing number of non-spousal household members (RR, 1.16; 95 % CI, 1.06–1.27), and ≥ 1 instrumental activity of daily living (IADL) impairments (RR, 1.69; 95 % CI, 1.12–2.53). Greater RR of lifetime prevalence was associated with African American/black race (RR, 2.61; 95 % CI, 1.37–4.98), poverty (RR, 1.47; 95 % CI, 1.04–2.09), increasing number of non-spousal household members (RR, 1.16; 95 % CI, 1.12–1.21), and having ≥1 IADL (RR, 1.45; 95 % CI, 1.11–1.90) or ≥1 ADL (RR, 1.52; 95 % CI, 1.06–2.18) impairment. Living with a spouse/partner was associated with a significantly lower RR of lifetime prevalence (RR, 0.39; 95 % CI, 0.26–0.59)

CONCLUSIONS

Financial exploitation of older adults is a common and serious problem. Elders from groups traditionally considered to be economically, medically, and sociodemographically vulnerable are more likely to self-report financial exploitation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  1. National Research Council. Elder mistreatment: Abuse, neglect, and exploitation in an aging America. Washington, DC: The National Academy Press; 2003.

  2. Demakis GJ. Neuropsychological evaluation of decision-making capacity in older adults. Psychol Inj Law. 2013;6(1):41–50.

    Article  Google Scholar 

  3. Han SD, Boyle PA, Yu L, Fleischman DA, Arfanakis K, Leurgans S, et al. Financial literacy is associated with medial brain region functional connectivity in old age. Arch Gerontol Geriatr. 2014; May 16.

  4. Roush RE, Moye JA, Mills WL, Kunik ME, Wilson NL, Taffet GE, et al. Why clinicians need to know about the elder investment fraud and financial exploitation program. Generations. 2012;36(2):94–97.

    Google Scholar 

  5. Acierno R, Hernandez MA, Amstadter AB, Resnick HS, Steve K, Muzzy W, et al. Prevalence and correlates of emotional, physical, sexual, and financial abuse and potential neglect in the United States: the National Elder Mistreatment Study. Am J Public Health. 2010;100(2):292–297.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Amstadter AB, Zajac K, Strachan M, Hernandez MA, Kilpatrick DG, Acierno R. Prevalence and correlates of elder mistreatment in South Carolina: the South Carolina elder mistreatment study. J Interpers Violence. 2011;26(15):2947–2972.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Begle AM, Strachan M, Cisler JM, Amstadter AB, Hernandez M, Acierno R. Elder mistreatment and emotional symptoms among older adults in a largely rural population: the South Carolina elder mistreatment study. J Interpers Violence. 2011;26(11):2321–2332.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Laumann EO, Leitsch SA, Waite LJ. Elder mistreatment in the United States: prevalence estimates from a nationally representative study. J Gerontol Ser B Psychol Sci Soc Sci. 2008;63(4):S248–S254.

    Article  Google Scholar 

  9. Pillemer K, Finkelhor D. The prevalence of elder abuse: a random sample survey. The Gerontologist. 1988;28(1):51–57.

    Article  CAS  PubMed  Google Scholar 

  10. Genesys Marketing Systems Group. Landline Random-Digit Dial (RDD) SamplesCopyright © 1987–2012 2/15/2013. Available from: http://www.m-s-g.com/Web/genesys/landline-sample.aspx.

  11. Swain DG, Nightingale PG. Evaluation of a shortened version of the abbreviated mental test in a series of elderly patients. Clin Rehabil. 1997;11(3):243–248.

    Article  CAS  PubMed  Google Scholar 

  12. US Census Bureau, The New York State Department of Labor, . New York State Civilian Population Estimates by Demographic Characteristics - Age, Sex, Race, and Hispanic Origin, 2000–2009. [June 3, 2014]; Available from: http://www.labor.ny.gov/stats/nys/statewide-population-data.shtm.

  13. American Association for Public Opinion Research. Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. Lenexa, KS2009 [March 23, 2013]; Version 4:[Available from: http://www.aapor.org/Standard_Definitions/1481.htm.

  14. American Association for Public Opinion Research. Response Rate Calculator V3.1 Lenexa, KS2011 [March 23, 2013]; Version 3.1:[Available from: http://www.aapor.org/Standard_Definitions/1481.htm.

  15. Podnieks E. National survey on abuse of the elderly in Canada. J Elder Abuse Negl. 1992;4(1/2):5–58.

    Google Scholar 

  16. Manthorpe J, Biggs S, McCreadie C, Tinker A, Hills A, O’Keefe M, et al. The U.K. national study of abuse and neglect among older people. Nurs Older People. 2007;19(8):24–26.

    Article  PubMed  Google Scholar 

  17. Corbin J, Strauss A. Basics of qualitative research. 3rd ed. Thousand Oaks, California: Sage Publications; 2008.

    Google Scholar 

  18. Center for the Study of Aging and Human Development. Multidimensional functional assessment: the OARS methodology. A manual. 2nd ed. Durham, NC: Center for the Study of Aging and Human Development; 1978.

  19. U.S. Census Bureau. State Intercensus Estimates. October 2012 [February 11, 2014]; Available from: http://www.census.gov/popest/data/historical/2000s/vintage_2009/state.html.

  20. Greenland S. Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case–control studies. Am J Epidemiol. 2004;160(4):301–305.

    Article  PubMed  Google Scholar 

  21. McNutt LA, Wu C, Xue X, Hafner JP. Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol. 2003;157(10):940–943.

    Article  PubMed  Google Scholar 

  22. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–706.

    Article  PubMed  Google Scholar 

  23. Strauss A, Corbin J. Basics of qualitative research: techniques and procedures for developing grounded theory. 2nd ed. Thousand Oaks: Sage Publications; 1998. 312 p.

    Google Scholar 

  24. Corbin J, Strauss A. Integrating categories. Basics of qualitative research. 3rd ed. Thousand Oaks, California: Sage Publications; 2008:263.

    Google Scholar 

  25. Glaser B. Theoretical sensitivity Middle Valley. CA: Sociology Press; 1978.

    Google Scholar 

  26. Census Bureau US. Poverty Thresholds 2008. Washington, DC: Census.gov; 2009. [April 23, 2014]; Available from: http://www.census.gov/hhes/www/poverty/data/threshld/thresh08.html.

    Google Scholar 

  27. Beach SR, Schulz R, Castle NG, Rosen J. Financial exploitation and psychological mistreatment among older adults: differences between African Americans and non-African Americans in a population-based survey. The Gerontologist. 2010;50(6):744–757.

    Article  PubMed Central  PubMed  Google Scholar 

  28. Blumberg SJ, Luke JV, Nadarajasundaram GN, Davern ME, Boudreaux MH, Soderberg K. Wireless substitution: State-level estimates from the National Health Interview Survey, January 2007–June 2010. Hyattsville, MD: National Center for Health Statistics; 2011. April 3, 2013.

    Google Scholar 

  29. Blumberg SJ, Luke JV. Wireless substitution: Early release of estimates from the National Health Interview Survey, July-December 2009. National Center for Health Statistics; May 2010 [April 3, 2013]; Available from: http://www.cdc.gov/nchs/nhis.htm.

Download references

Contributors

We wish to thank the Cornell Survey Research Institute and the many older adults who participated in the study. Drs. Peterson and Lachs had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Funders

  1. a.

    This work was supported by funding from the New York State William B. Hoyt Memorial Children and Family Trust Fund, administered under the New York State Office of Children and Family Services. The funding agency had no role in the design and conduct of the study, in the collection, analysis, and interpretation of data, or in the preparation, review, or approval of the manuscript.

  2. b.

    Dr. Peterson is the recipient of a Paul B. Beeson Award from the National Institute on Aging, the American Federation for Aging Research, The John A. Hartford Foundation and The Atlantic Philanthropies under award K23AG042869. Dr. Peterson also received research support to complete this analysis from the Department of Medicine, Weill Cornell Medical College, NY, NY.

  3. c.

    Dr. Lachs is the recipient of a Mid-Career Mentoring Award in Patient Oriented Research from the National Institute on Aging K24 AG022399. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Prior presentations

  1. a.

    Portions of this work were presented at the Department of Medicine Grand Rounds, Weill Cornell Medical College, 16 September 2013.

  2. b.

    We previously released a report of frequency counts of the quantitative data only, which can be found at: http://ocfs.ny.gov/main/reports/Under%20the%20Radar%2005%2012%2011%20final%20report.pdf.

Conflict of Interest

The authors declare that they do not have a conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Janey C. Peterson EdD, MS, RN.

Appendices

Appendix 1: American Association for Public Opinion Research Formulas (13)

$$ \mathrm{Response}\kern0.5em \mathrm{Rate}:\mathrm{I}/\left(\left(\mathrm{I}+\mathrm{P}\right)+\left(\mathrm{R}+\mathrm{NC}+\mathrm{O}\right)+\mathrm{e}\left(\mathrm{UH}+\mathrm{UO}\right)\right) $$
$$ \mathrm{Cooperation}\kern0.5em \mathrm{Rate}:\mathrm{I}/\left(\left(\mathrm{I}+\mathrm{P}\right)\left.+\mathrm{R}\right)\right) $$
I:

Complete Interviews

P:

Partial Interviews

R:

Refusal and break off

NC:

Non Contact

O:

Other

e:

is the estimated proportion of cases of unknown eligibility that are eligible, according to AAPOR Eligibility Estimates.

UH:

Unknown Household

UO:

Unknown Other

Appendix 2: Description of Financial Exploitation Items

FEOA was assessed with five items. Respondents were asked if, since turning age 60, someone they lived with or spent a lot of time with had done the following: stolen anything or used things that belonged to them without permission (e.g., money, bank ATM or credit cards, checks, personal property or documents) (FEOA1); forced, convinced or misled them to give away something that belonged to them or to give away legal rights to something that belonged to them (e.g., money, bank account, credit card, deed to a house, personal property, or documents such as a will or power of attorney) (FEOA2); pretended to be them to obtain goods or money (FEOA3); inadequate contributions toward household expenses (e.g., rent, groceries), but respondent still had enough money for necessities (FEOA4); respondent was destitute and did not receive necessary assistance from family/friends (e.g., went on welfare, could not pay rent) (FEOA5).

For each affirmed FEOA item, respondents were asked: 1) how the perpetrator was related (i.e., spouse/partner, adult child, son/daughter-in-law, grandchild, other relative, neighbor, friend, other non-relative, or paid aid/attendant; 2) how many times the incident happened in the last year (i.e., never, once, two to ten times, more than ten times); 3) how serious a problem it was if the incident item happened (i.e., not serious at all, somewhat serious, very serious); and 3) to describe the incident using their own words. Responses were transcribed verbatim.

Each narrative was adjudicated to ensure that it was consistent with financial exploitation (i.e., improper use of funds, property or resources by another individual, including but not limited to, fraud, false pretense, embezzlement, conspiracy, forgery, falsifying records, coerced property transfers, or denial of access to assets). Therefore, we excluded civil disputes, divorce-related matters, and narratives that were inconsistent with financial mistreatment (as defined above) and did not consider them as outcomes.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peterson, J.C., Burnes, D.P., Caccamise, P.L. et al. Financial Exploitation of Older Adults: A Population-Based Prevalence Study. J GEN INTERN MED 29, 1615–1623 (2014). https://doi.org/10.1007/s11606-014-2946-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-014-2946-2

KEY WORDS

Navigation