Introduction
Following the increase in the elderly population in the 20th century [
1], elder abuse is considered a serious issue in human rights and public health and requires immediate and appropriate action [
2]. Examining the risk factors of the geriatric syndrome as a geriatric syndrome is associated with many complications [
3]. It seems that one of the risk factors that may expose older adults to elder abuse is their personality traits [
4, 5, 6]. Considering the lack of research on the relationship between the personality traits of older adults and elder abuse, the present study was conducted among the elderly population referring to the health centers of Marand City, Iran)
Methods
In this cross-sectional study with a code of ethics (IR.USWR.REC.1400.034), 304 samples among the older adults who were referred to health centers participated. The data collection tool included the demographic characteristics checklist and the Hwalek-sengstock elder abuse screen test (HS-EAST) and the inventory among older Iranians 10-item personality inventory (TIPT). Ten-item personality inventory (TIPT) was used to collect information related to the variable of personality traits [
7] and according to the results of Gosling et al.’s studies, the norm of each of the big-five personality traits was adjusted for the elderly population [
8]. Hwalek-sengstock elder abuse screen test has 15 items (with yes/no answers) and the range of points obtained from completing the questionnaire is between 0 and 15. In the present study, according to the scoring of the Iranian version, a score of 4 and above is considered in elder abuse older adults [
9]. The data was entered into SPSS software version 23. In bivariate analysis, chi-square and t test statistical tests were used, as well as to explain the relationship between big-five personality traits and elder abuse, multiple logistic regressions were used.
Results
In the current study, the average age of the participants was 70.55±7.7 with almost equal gender distribution (51% women). Most of the older adults (37.8%) were illiterate. A high percentage of older adults (71.1%) were married. Also, 82.9% of older adults had their housing, 39.8% of them lived only with their spouses, and 69.1% of them had at least one type of chronic disease. A total of 34.2% of older adults who participated in the study had experienced elder abuse. Chi-square and t test were used to examine the relationship between independent variables and elder abuse. In this way, the age variable had a significant relationship with elder abuse and older people had reported more experience of elder abuse (P<0.01). Also, a significant relationship was observed between the variables of education level (P<0.05), housing status (P<0.005), and suffering from at least one chronic disease (P<0.001) with elder abuse.
The logistic regression results showed that the independent variables significantly predict the elder abuse variable (X2=76.64, df=12, P<0.001) (
Table 1).
Studies showed that a high score in the personality trait of extroversion is a protective factor concerning elder abuse so that older adults with a high score of extraversion experienced less elder abuse with a probability of 56% (P<0.05, Wald=4.98, OR=0.44). A high personality trait is considered a protective factor to prevent elder abuse, and the possibility of elder abuse is 67% lower in older adults with high agreeableness (P<0.001, Wald=4.98, OR=0.33).
The logistic regression model showed that high emotional stability (low neuroticism) is a protective factor to prevent elder abuse, and in older adults with high emotional stability, the probability of experiencing elder abuse was 60% lower (P<0.05, Wald=7.08, OR=0.40). Although no significant relationship was observed between the personality trait of openness to experience and elder abuse (P>0.05, Wald=2.97, OR=1.82). But the high score of the elderly in the characteristic of conscientiousness reduces the possibility of elder abuse by 63% (P<0.001, Wald=10.17, OR=0.37). (
Table 1)
Discussion
Considering the importance of the issue of elder abuse and the necessity to identify its risk factors, the present study was conducted to investigate the relationship between the big-five personality traits of older adults and elder abuse. The results of the multivariate logistic regression model showed that four personality traits of low extroversion, low agreeableness, high neuroticism (low emotional stability), and low conscientiousness after controlling the variables of gender, age, marital status, housing status, education level, employment and suffering from chronic disease significantly predicts elder abuse. Therefore, the four mentioned personality traits are considered risk factors for the occurrence of elder abuse. Therefore, it seems necessary that policymakers and health experts formulate educational and screening programs considering the mentioned risk factors, especially the high-risk personality traits of the elderly. As a result, older adults at risk of elder abuse are identified faster and timely interventions are used to improve their health status and increase their quality of life so that these interventions have the best results.
Ethical Considerations
Compliance with ethical guidelines
The current study is approved by the Medical Ethics Committee of the University of Social Welfare and Rehabilitation Sciences (Code: IR.USWR.REC.1400.034). Ethical principles are fully observed in this article.
Funding
This article is extracted from the Master’s degree thesis at the University of Social Welfare and Rehabilitation Sciences.
Authors' contributions
All authors participated in the design, execution, and writing of all parts of the research.
Conflicts of interest
The authors declared no conflict of interest.
References
- Zeinalhajlou AA, Amini A, Tabrizi JS. Consequences of population aging in Iran with emphasis on its increasing challenges on the health system (literature review). Depiction of Health. 2015; 6(1):54-64. [Link]
- Poor Reza A, Khabiri Nemati R. [Health economics and aging (Persian)]. Iranian Journal of Ageing. 2007; 1(2):80-7. [Link]
- Statistical Center of Iran. [National Iranian survey (Persian)]. Tehran: Statistical Center of Iran; 2016.
- Wang F, Meng LR, Zhang Q, Li L, Nogueira BOCL, Ng CH, et al. Elder abuse and its impact on quality of life in nursing homes in China. Archives of Gerontology and Geriatrics. 2018; 78:155-9. [DOI:10.1016/j.archger.2018.06.011] [PMID]
- World Health Organization. Missing voices: Views of older persons on elder abuse. Geneva: World Health Organization; 2002. [Link]
- Baker MW. Elder mistreatment: Risk, vulnerability, and early mortality. Journal of the American Psychiatric Nurses Association. 2007; 12(6):313-21. [DOI:10.1177/1078390306297519]
- Cooper C, Selwood A, Livingston G. The prevalence of elder abuse and neglect: A systematic review. Age and Ageing. 2008; 37(2):151-60. [DOI:10.1093/ageing/afm194] [PMID]
- Yon Y, Mikton CR, Gassoumis ZD, Wilber KH. Elder abuse prevalence in community settings: A systematic review and meta-analysis. The Lancet Global Health. 2017; 5(2):e147-56. [DOI:10.1016/S2214-109X(17)30006-2] [PMID]
- Abdi A, Tarjoman A, Borji M. Prevalence of elder abuse in Iran: A Systematic review and meta-analysis. Asian Journal of Psychiatry. 2019; 39:120-7. [DOI:10.1016/j.ajp.2018.12.005] [PMID]
- Lachs MS, Pillemer K. Elder abuse. The Lancet. 2004; 364(9441):1263-72. [DOI:10.1016/S0140-6736(04)17144-4] [PMID]
- Li M, Kong D, Chao YY, Dong X. Association between personality traits and elder abuse in a community-dwelling Chinese population: findings from the PINE study. Journal of Elder Abuse & Neglect. 2020; 32(4):317-33. [DOI:10.1080/08946566.2020.1782300] [PMID]
- Comijs HC, Jonker C, van Tilburg W, Smit JH. Hostility and coping capacity as risk factors of elder mistreatment. Social Psychiatry and Psychiatric Epidemiology. 1999; 34(1):48-52. [DOI:10.1007/s001270050111] [PMID]
- Dong X, Simon M, Wilson R, Beck T, McKinell K, Evans D. Association of personality traits with elder self-neglect in a community-dwelling population. The American Journal of Geriatric Psychiatry. 2011; 19(8):743-51. [DOI:10.1097/JGP.0b013e3182006a53] [PMID] [PMCID]
- Soldz S, Vaillant GE. The big five personality traits and the life course: A 45-year longitudinal study. Journal of Research in Personality. 1999; 33(2):208-32. [DOI:10.1006/jrpe.1999.2243]
- Pocnet C, Popp J, Jopp D. The power of personality in successful ageing: A comprehensive review of larger quantitative studies. European Journal of Ageing. 2020:1-17. [DOI:10.1007/s10433-020-00575-6] [PMID] [PMCID]
- Grant S, Langan-Fox J, Anglim J. The big five traits as predictors of subjective and psychological well-being. Psychological Reports. 2009; 105(1):205-31. [DOI:10.2466/PR0.105.1.205-231] [PMID]
- Cooper CL, Cooper CP, Dewe PJ, O’Driscoll MP. Organizational stress: A review and critique of theory, research, and applications. California: Sage; 2001. [DOI:10.4135/9781452231235]
- Quinn MJ, Tomita SK. Elder abuse and neglect: Causes, diagnosis, and interventional strategies. New York: Springer; 1997. [Link]
- Pérez-Rojo G, Izal M, Montorio I, Penhale B. Risk factors of elder abuse in a community dwelling Spanish sample. Archives of Gerontology and Geriatrics. 2009; 49(1):17-21. [DOI:10.1016/j.archger.2008.04.005] [PMID]
- Bujang MA, Sa'at N, Sidik TMITAB, Joo LC. Sample size guidelines for logistic regression from observational studies with large population: emphasis on the accuracy between statistics and parameters based on real life clinical data. The Malaysian Journal of Medical Sciences 2018; 25(4):122-30. [DOI:10.21315/mjms2018.25.4.12] [PMID] [PMCID]
- Austin PC, Steyerberg EW. Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models. Statistical Methods in Medical Research. 2017; 26(2):796-808. [DOI:10.1177/0962280214558972] [PMID] [PMCID]
- Azkhosh M, Sahaf R, Rostami M, Ahmadi A. Reliability and validity of the 10-item personality inventory among older Iranians. Psychology in Russia. 2019; 12(3):28. [DOI:10.11621/pir.2019.0303]
- Gosling SD, Rentfrow PJ, Swann Jr WB. A very brief measure of the Big-Five personality domains. Journal of Research in personality. 2003; 37(6):504-28. [DOI:10.1016/S0092-6566(03)00046-1]
- Gallione C, Dal Molin A, Cristina FV, Ferns H, Mattioli M, Suardi B. Screening tools for identification of elder abuse: A systematic review. Journal of Clinical Nursing. 2017; 26(15-16):2154-76. [DOI:10.1111/jocn.13721] [PMID]
- Aminalroaya R, Alizadeh-Khoei M, Hormozi S, Sharifi F, Taati F. Screening for elder abuse in geriatric outpatients: Reliability and validity of the Iranian version Hwalek-Sengstock Elder Abuse Screening Test (HS/EAST). Journal of Elder Abuse & Neglect. 2020; 32(1):84-96. [DOI:10.1080/08946566.2020.1719564] [PMID]
- Costa PT, McCrae RR. Personality in adulthood: A six-year longitudinal study of self-reports and spouse ratings on the NEO Personality Inventory. Journal of Personality and Social Psychology. 1988; 54(5):853. [DOI:10.1037/0022-3514.54.5.853] [PMID]
- Ozer DJ, Benet-Martinez V. Personality and the prediction of consequential outcomes. Annual Review of Psychology. 2006; 57:401-21. [DOI:10.1146/annurev.psych.57.102904.190127] [PMID]
- McCrae RR, John OP. An introduction to the five‐factor model and its applications. Journal of Personality. 1992; 60(2):175-215. [DOI:10.1111/j.1467-6494.1992.tb00970.x] [PMID]
- Ruiz-Pérez I, Rodríguez-Barranco M, Cervilla JA, Ricci-Cabello I. Intimate partner violence and mental disorders: Co-occurrence and gender differences in a large cross-sectional population based study in Spain. Journal of Affective Disorders. 2018; 229:69-78. [DOI:10.1016/j.jad.2017.12.032] [PMID]
- Ulloa EC, Hammett JF, O’Neal DN, Lydston EE, Aramburo LFL. The big five personality traits and intimate partner violence: Findings from a large, nationally representative sample. Violence and Victims. 2016; 31(6):1100-15. [DOI:10.1891/0886-6708.VV-D-15-00055] [PMID]
- Motevaliyan SM, Yaacob SN, Juhari R, Mansor M, Dokoushkani F, Watson P. Associations of personality traits and childhood insult experience with perceived husbands’ psychological aggression among Iranian women. Journal of Family Violence. 2017; 32(4):461-70. [DOI:10.1007/s10896-016-9811-5]
- Hill PL, Weston SJ, Jackson JJ. The co-development of perceived support and the Big Five in middle and older adulthood. International Journal of Behavioral Development. 2018; 42(1):26-33. [DOI:10.1177/0165025417690262]
- Schomerus G, Appel K, Meffert PJ, Luppa M, Andersen RM, Grabe HJ, et al. Personality-related factors as predictors of help-seeking for depression: a population-based study applying the behavioral model of health services use. Social Psychiatry and Psychiatric Epidemiology. 2013; 48(11):1809-17. [DOI:10.1007/s00127-012-0643-1] [PMID]
- Marks GR, Lutgendorf SK. Perceived health competence and personality factors differentially predict health behaviors in older adults. Journal of Aging and Health. 1999; 11(2):221-39. [DOI:10.1177/089826439901100205] [PMID]
- Costa PT, McCrae RR, Holland JL. Personality and vocational interests in an adult sample. Journal of Applied Psychology. 1984; 69(3):390. [DOI:10.1037/0021-9010.69.3.390]
- Anderson GF, Hussey PS. Population Aging: A Comparison Among Industrialized Countries: Populations around the world are growing older, but the trends are not cause for despair. Health Affairs. 2000; 19(3):191-203. [DOI:10.1377/hlthaff.19.3.191] [PMID]
- John OP, Naumann LP, Soto CJ. Paradigm shift to the integrative big five trait taxonomy: History, measurement, and conceptual issues. In: John OP, Robins RW, Pervin LA, editors.Handbook of personality: Theory and research. New York: The Guilford Press; 2008. [Link]
- Steiner M, Allemand M, McCullough ME. Do agreeableness and neuroticism explain age differences in the tendency to forgive others? Personality and Social Psychology Bulletin. 2012; 38(4):441-53. [DOI:10.1177/0146167211427923] [PMID]
- Tobin RM, Graziano WG, Vanman EJ, Tassinary LG. Personality, emotional experience, and efforts to control emotions. Journal of Personality and Social Psychology. 2000; 79(4):656. [DOI:10.1037/0022-3514.79.4.656] [PMID]