Skip to main content
American Journal of Alzheimer's Disease and Other Dementias logoLink to American Journal of Alzheimer's Disease and Other Dementias
. 2020 Jul 15;35:1533317520939781. doi: 10.1177/1533317520939781

Differential Association of Aggression With Sadness for People With Moderate and Severe Dementia

Hannah M O’Rourke 1,, Kimberly D Fraser 1, Wendy Duggleby 2
PMCID: PMC10623928  PMID: 32666818

Abstract

Little is known about how individual behavioral and psychological symptoms of dementia (BPSD) impact the person with dementia. This cross-sectional, retrospective study examined the association between one BPSD, aggressive behavior, and a patient-identified outcome, sadness, among people with moderate and severe dementia (n = 5001) using clinical administrative Resident Assessment Instrument 2.0 data. For people with moderate or severe cognitive impairment, the odds of sadness were significantly higher if verbal aggression was exhibited 4 to 6 (adjusted odds ratio [aOR] = 2.85, P < .001) or 1 to 3 (aOR = 2.28, P < .001) times per week, or daily (aOR = 1.77, P = .003). People with severe cognitive impairment and who displayed physical aggression either daily (OR = 2.16, P = .002) or 1 to 3 times per week (OR = 1.45, P = .023) also had an increased odds of sadness. Aggression may harm the person with dementia’s mental well-being, depending on the level of cognitive impairment, and type and frequency of aggression. Prospective studies can build on these correlational findings.

Keywords: behavioral and psychological symptoms of dementia, Resident Assessment Instrument, logistic regression

Introduction

Dementia describes syndromes of progressive cognitive impairment which affect memory and day-to-day function and is the leading cause of disability and dependence among older adults with chronic illness worldwide. 1 Behavioral and psychological symptoms of dementia (BPSD) affect an estimated 90% of people with dementia and their caregivers, 2 -4 and management of BPSD is a top priority for long-term care home research. 5

Behavioral and psychological symptoms of dementia are not one thing: they reflect a highly varied set of issues, including wandering, anxiety, delusions, aggression, and others. 6,7 Despite this variation, research has usually examined BPSD as a symptom or behavioral cluster measured as a mean score in a BPSD index. This is useful to capture a range of possible symptoms and behaviors, but problematic for understanding the causes and consequences of each BPSD. Each symptom may have different social and environmental causes 6,7 and distinct effects that could be identified by assessing individual behaviors and their specific associated outcomes. 8

Aggression is one BPSD that is particularly difficult to manage. 6 From the caregiver’s perspective, aggressive behavior can be highly distressing, 9,10 but little is known about the impact on the person with dementia as a consequence of their own aggressive behavior. Exploratory qualitative research suggests that aggression may directly affect sadness, from the perspectives of people with dementia, and this body of research was used to generate hypotheses to guide this study. 11,12

Literature Review: Aggression and Sadness

Little research has tested the hypothesized association of aggression and sadness. One study found that sadness predicted onset of physical aggression, but did not assess associations with verbal aggression. 13 A larger, related body of literature has tested the association of aggression and depression (related because sadness is one symptom of depression). 14,15 This literature does not directly reflect the specific hypotheses generated from previous qualitative research which guided this study, but it is important to review here given the dearth of research on aggression and sadness.

Hypotheses of why aggression and depression may be linked, and the results of studies that test these associations, are inconsistent. Cross-sectional studies support that aggression is associated with higher levels of depression, and the strength of association depends on whether the aggression is physical or verbal. 16 -20 Yet, a prospective study found that depression was only indirectly linked to aggression onset (ie, mediated by pain or caregiver burden). 21 Some posit that dementia causes depression and aggression. 13 Others suggest that depression may cause aggression. 19 Alternatively, research to capture perspectives of people with dementia suggests the reverse: that poor quality relationships, indicated by things like aggression, may cause sadness, 12 which could lead to depression. The present study builds on this latter proposition and tests how the association between aggression and sadness changes, depending on the type of aggression, and level of functional and cognitive impairment.

Conceptual Framework

Systematic reviews of over 40 qualitative research studies suggest that people with dementia perceive that feeling connected to others promotes quality of life 11,12 and prevents sadness. 12 In contrast, aggression that is verbal (eg, screams, cursing) or physical (eg, hitting, spitting) may reflect an experience of intense interpersonal conflict and disconnect from others. 11,12 People with dementia have described interpersonal conflict as increasing the risk of poor quality of life and sadness. 11,12 Level of cognitive impairment and functional dependence may change the association between aggression and sadness. When people become more dependent, they rely on other individuals to meet their needs. Experiencing conflict with people one relies upon may have particularly harmful effects for the person with dementia. 12

Purpose

The purpose of this study was to evaluate the associations of verbal and physical aggression with sadness for long-term care residents with moderate and severe dementia. The primary hypothesis was that frequent verbal and physical aggression would be associated with higher odds of sadness. By testing interaction terms (ie, effect modifiers), the influence of cognitive impairment, functional dependence, and type of aggression upon these associations was also explored.

Design and Methods

Sample

This is the second report from a cross-sectional, correlational analysis of clinical administrative data. 22 There was a complete sampling frame available of the 18 400 people with dementia who lived in Ontario long-term care homes. 23 At least 4840 residents were needed to detect a small (ie, OR = 1.3), statistically significant finding with 80% power (given α = .05, aggression prevalence = 15%, and sadness prevalence = 20%). 24

De-identified data from annual (April 2012 to May 2013) Resident Assessment Instrument (RAI 2.0) evaluations were obtained from the Canadian Institute for Health Information. Staff at each facility complete quarterly RAI 2.0 assessments for each resident, which involves medical record review and observation. Facility managers determine who should complete the assessment but must ensure that those involved have the necessary knowledge and contact with the resident in order to complete the assessment accurately. RAI 2.0 assessment is most often lead by a health care professional like a registered nurse or social worker and involves discussion with other members of the interdisciplinary team and family and friends of the resident. 22 Evidence supports interrater reliability and consistency and criterion, convergent, and predictive validity of the RAI 2.0. 23,25 -28 The random sample included 5324 Ontario long-term care home residents who had lived at a facility for at least 3 months, were older than the age of 65, and who had a dementia diagnosis. People who were comatose or who had a current psychiatric condition (ie, depression, anxiety disorder, manic depression, or schizophrenia) were excluded. After data acquisition, additional exclusions were people with mild dementia (n = 318) and who were of ‘other’ sex (n = 5). These groups were excluded because the small numbers of each created empty cells when testing interaction terms and in the sex-adjusted model.

Independent Variables: Aggression

Verbal (ie, threaten, scream, or curse at others) and physical (ie, hit, shove, scratch, or sexually abused others) aggression are measured in the RAI 2.0. A RAI 2.0 assessor observes and consults with direct care staff to record the frequency of aggression directed at other residents or staff in the last 30 days. The usual weekly frequency from 0 to 3 is recorded: not exhibited = 0, or occurred on 1 to 3 days = 1, 4 to 6 days = 2, or daily = 3. Interrater reliability (r = 0.95) and κ (0.84) were high for a problem behavior index, which included verbal and physical aggression, in previous research. 29

Dependent Variable: Sadness

The dependent variable, sadness, was operationalized with 3 RAI 2.0 items. These are similar to the items included specifically to measure sadness (as opposed to other symptoms of depression) from a validated depression screening tool 30 : (1) negative statements; (2) sad, pained, worried facial expression; and (3) crying/tearfulness. Weekly frequency over the last 30 days is scored from 0 to 2: not exhibited = 0, or occurred on 1 to 5 days = 1, or ≥6 days = 2. 31

It is unknown if any sadness indicator (eg, crying vs sad expression) reflects more or less sadness, so a dichotomized variable was used for the analysis (ie, any weekly expression of sadness = 1 or none = 0). Previous research supports the interrater reliability (r = 0.89) for sadness items (contained in a mood index) and an acceptable κ value (0.56). 29

Adjustment Variables

The reason for sadness was not available in this data set. However, a number of other variables which may affect the association between aggression and sadness identified in a comprehensive review of the literature 32 were available and were adjusted for in the analysis. Cognitive impairment (Cognitive Performance Scale) 33 and functional dependence (Activities of Daily Living-Hierarchy Scale or ADL-HS) 34 were tested as effect modifiers. Cognitive Performance Scale scores were categorized based on correspondence with average Mini-Mental State Examination ratings found in previous research 33,35 : mild impairment = 0 to 1, moderate = 2 to 3, and severe = 4 to 6. To prevent empty cells, the 7-category ADL-HS variable was dichotomized into clinically relevant categories: 0 to 2 reflected relatively independent to limited impairment, and 3 to 6 reflected extensive help to severe or total dependence. Other potential confounding variables selected from the comprehensive review of the literature 32 were also measured with RAI 2.0 data: age, sex, education, length of stay, hearing impairment, vision impairment, daily visits from family/friends prior to admission, lack of current visits from family/friends, pain, and use of psychopharmacological medications (operationalized as any use of antipsychotic, antianxiety, antidepressants, or hypnotics in the last 7 days).

Analysis

STATA 13 was used for analysis. There were no missing data. Box plots or frequency tables were used to assess variable distributions. Descriptive statistics (means/standard deviations or proportions) were calculated and checked for small cell counts using cross-tabs.

Nonstepwise, purposeful logistic regression model procedures were used to derive the model. 36 The final model contained: (1) independent variables of verbal and physical aggression, (2) confounders of clinical or theoretical importance, (3) confounders statistically significant in bivariate analysis (at a conservative P ≤ .20 to avoid premature exclusion of adjustment variables) that affected the aggression-sadness associations by more than 15%, and (4) statistically significant interaction terms (P ≤ .05). All models were adjusted for within-facility correlation using the “cluster” command in STATA. The Hosmer-Lemeshow test result (probability > χ2 = 0.281) was nonsignificant, indicating that the model fit the data. Age, the only continuous variable in the model, did not meet the linear assumption. It was broken into quartiles and included in the model as a categorical variable. Psychopharmacologic medication use variables (from 0 to 7 days) resulted in small cell counts, which can bias estimates, and were dichotomized into use versus nonuse for each specific medication type. Multivariable logistic regression is the correct analysis for the current study but produces odds ratios (ORs) which can be less intuitive than and overestimate the prevalence ratio, when the initial prevalence of the outcome is high. 37 To support clinical interpretability of the findings, the ORs in the final model were also converted to prevalence ratios using a formula for use in situations where the prevalence of the outcome of interest is >10%. 38

Ethical Approval

The Human Research Ethics Board at the University of Alberta approved this study [Pro00011753_CLS9]. Canadian Institute for Health Information procedures were followed for data storage and security.

Results

Sample Characteristics

The sample was 5001 people with moderate and severe dementia from 613 (of a possible 683) Ontario long-term care homes. 23 The mean age was 86.3 years (standard deviation: 7.03), and the majority (72.1%) were female, experienced sadness (58.5%), and had moderate cognitive impairment (55.1%; Table 1). There were between 1 and 41 residents from each of the 613 facilities.

Table 1.

Sample Characteristics.

Variable n % M (SD) Range
Age (years) 86.3 (7.03) 65-109
Length of stay (years) 2.9 (2.7) 0.25-44.8
Sex
 Male 1396 27.9
 Female 3605 72.1
No current contact with family/friends 226 4.5
Daily contact with relative on admission 3283 65.7
Alzheimer disease 1697 33.9
Other dementia 3777 75.5
Pain
 No pain 3692 73.8
 Less than daily pain 887 17.7
 Mild or moderate daily pain 365 7.3
 Severe daily pain 57 1.1
Verbal aggression in last 7 days
 Not exhibited 3929 78.56
 Occurred 1-3 days 604 12.08
 Occurred 4-6 days 272 5.44
 Occurred daily 196 3.92
Physical aggression
 Not exhibited 4117 82.32
 Occurred 1-3 days 525 10.50
 Occurred 4-6 days 210 4.20
 Occurred daily 149 2.98
Antipsychotic use 1819 36.4
Antidepressant use 2199 44.0
Antianxiety use 471 9.4
Hypnotic use 164 3.3
Cognitive impairment
 Moderate 2754 55.1
 Severe 2247 44.9
Functional dependence
 Relatively independent 329 6.6
 Limited impairment 448 9.0
 Extensive help 2254 45.1
 Severe or total dependence 1970 39.4
High school education or less 2325 46.5
Sadness
 No 2074 41.5
 Yes 2927 58.5

Abbreviation: SD, standard deviation.

Unadjusted Results

All independent variables and potential confounders were assessed for their association with sadness when entered alone in a logistic regression model. Age and hypnotic use were the only variables not statistically significant (P ≤ .20) in bivariate analysis but were both retained for the confounder analyses to be conservative as they did not complicate the analysis and because age was of clinical significance. All categories of both verbal and physical aggression were statistically significant (P ≤ .05) in bivariate analysis (Table 2).

Table 2.

Bivariate Results: Odds Ratio (OR), 95% CI, and P Value for Independent Variables When Entered Alone in a Logistic Regression Model.

Variable OR (SEa) 95% CI P value
Verbal aggression (reference = not exhibited)
 Occurred 1-3 days 2.43 (0.23) 2.01-2.93 <.001
 Occurred 4-6 days 3.15 (0.48) 2.33-4.25 <.001
 Occurred daily 2.42 (0.41) 1.74-3.38 <.001
Physical aggression (reference = not exhibited)
 Occurred 1-3 days 1.89 (0.20) 1.53-2.34 <.001
 Occurred 4-6 days 2.43 (0.40) 1.76-3.34 <.001
 Occurred daily 2.33 (0.46) 1.58-3.44 <.001

Abbreviation: SE, standard error.

a Standard errors adjusted for clustering within 613 long-term care homes.

Effect Modification

Cognitive impairment modified the association between physical aggression and sadness for those who exhibited daily physical aggression (P = .021). Functional dependence did not modify the association between physical aggression and sadness (ie, the P values for the interaction terms were >.05). The association of verbal aggression and sadness also remained the same, regardless of level of cognitive impairment or functional dependence.

Adjusted Results

None of the proposed confounding variables affected the aggression-sadness associations by more than 7%, so adjustment was made only for those of clinical (age, sex, pain) or theoretical (cognitive impairment, functional dependence, current contact) importance. Given the significant interaction term, adjusted ORs are reported by type of aggression (verbal or physical), frequency of aggression (1-3 days, 4-6 days, or daily), and level of cognitive impairment (moderate or severe; Table 3).

Table 3.

Odds Ratio (OR), Adjusted Prevalence Ratio (PR), 95% CI, and P Values for Independent Variables (Reference = Not Exhibited) in a Multivariable Logistic Regression Model, Adjusted for Covariates.a

Variable OR (SEb) 95% CI Adjusted PRc 95% CI P value
Verbal aggression for those with moderate or severe cognitive impairment
 Occurred 1-3 days 2.28 (0.24) 1.86-2.80 1.35 1.27-1.42 <.001d
 Occurred 4-6 days 2.85 (0.46) 2.07-3.92 1.43 1.31-1.52 <.001d
 Occurred daily 1.77 (0.34) 1.21-2.59 1.25 1.09-1.39 .003d
Physical aggression for those with moderate cognitive impairment
 Occurred 1-3 days 0.98 (0.15) 0.72-1.32 0.99 0.85-1.13 .885
 Occurred 4-6 days 1.23 (0.39) 0.66-2.28 1.09 0.81-1.35 .516
 Occurred daily 0.93 (0.35) 0.44-1.96 0.97 0.63-1.29 .853
Physical aggression for those with severe cognitive impairment
 Occurred 1-3 days 1.45 (0.24) 1.05-2.00 1.09 1.01-1.16 .023e
 Occurred 4-6 days 1.45 (0.31) 0.96-2.19 1.09 0.99-1.17 .081
 Occurred daily 2.16 (0.53) 1.33-3.51 1.17 1.07-1.24 .002f

a Adjusted for age, sex, functional dependence, level of cognitive impairment, pain, and contact with family/friends.

b Robust standard errors adjusted for clustering within 613 long-term care homes.

c Based on PR = OR/(1 − P0) + (P0 × OR), where PR = prevalence ratio, OR = odds ratio, and P0 = the prevalence of the outcome (ie, sadness) in nonexposed patients (Zhang and Yu 38 ).

dP ≤ .001.

eP ≤ .05.

fP ≤ .01.

There was a higher odds of sadness for people who were verbally aggressive as compared to those who did not exhibit verbal aggression, regardless of level of cognitive impairment. The odds of sadness were highest for those who were verbally aggressive 4 to 6 times per week (OR = 2.85, P < .001) or 1 to 3 times per week (OR = 2.28, P < .001) and lowest among people who were verbally aggressive daily (OR = 1.77, P = .003). Converting the ORs to prevalence ratios: the prevalence of sadness among those who did not exhibit verbal aggression was 54% and was 1.43, 1.35, or 1.25 times higher for those who were verbally aggressive 4 to 6 times per week, 1 to 3 times per week or daily, respectively (Table 3).

The physically aggressive with moderate cognitive impairment had the same odds of sadness as those who were not physically aggressive. However, people with severe cognitive impairment, and who were physically aggressive, had higher odds of sadness as compared to the not physically aggressive. The odds of sadness were highest for those with severe cognitive impairment who were physically aggressive daily (OR = 2.16, P = .002) and lower for those physically aggressive 1 to 3 times per week (OR = 1.45, P = .023) or 4 to 6 times per week (OR = 1.45, P = .081, borderline significant). The prevalence of sadness among those with severe cognitive impairment and who did not exhibit physical aggression was 73% and was 1.17 or 1.09 times higher among those with severe cognitive impairment who were verbally aggressive daily or 1 to 3 times per week, respectively.

Discussion and Implications

The large literature on BPSD has to date focused much attention on the impact of aggression as part of a cluster of behaviors and symptoms on caregivers 39 or caregiving approaches to manage BPSD. 40 This study extended the literature on BPSD to assess the potential impact of a specific BPSD, aggression, on sadness for people with dementia. Hypotheses of associations of other BPSDs with outcomes that matter to people with dementia should be generated, and qualitative research is essential to this agenda. 32

The focus of this study was to quantify the association(s) of an individual BPSD (aggression) with an outcome (sadness) identified from the perspectives of people with dementia. Quantifying associations and identifying effect modifiers, like cognitive impairment and type of aggression, provides the foundation to design prospective studies to establish temporality. The findings also have implications for practice. Results identify subgroups of people with dementia at risk of poor mental health. Clinicians can identify individuals at risk based on the clinical assessment (ie, RAI) data collected as a part of routine practice in long-term care settings across North America. The highest odds of sadness occurred among people with moderate or severe cognitive impairment who were verbally aggressive up to 6 times per week and for those with severe cognitive impairment that were physically aggressive everyday. The findings of the present study align with a meta-analysis on the factors influencing loneliness for older adults that showed that the quality of one’s relationships was at least as important as the quantity of relationships to support well-being. 41

Those exhibiting daily verbal aggression had a lower odds of sadness than people who were verbally aggressive up to 6 times per week, an unexpected finding. In the case of daily physical aggression, there was a statistically significant increase in odds of sadness only among those with severe cognitive impairment. These patterns (see Figure 1) may be explained by people with dementia’s use of nonverbal communication to express their needs as cognitive function deteriorates. 42 -44 People with moderate cognitive impairment may react to a perceived conflict with verbal aggression, while the communication impairment typical of severe dementia may lead to physical aggression in response to conflict.

Figure 1.

Figure 1.

The odds of sadness according to the frequency of aggressive behaviors and level of cognitive impairment. CI, cognitive impairment. ***P ≤ = .001; **P ≤ = .01; **P ≤ = .05. No asterisk indicates a finding that is not statistically significant.

Health care providers find it more difficult to communicate with the person as dementia severity and communication impairments increase. 45 Careful and empathetic interaction with people with dementia is needed to prevent aggressive conflict and subsequent harm to the person with dementia. Health care providers can identify those who display aggressive behavior and seek opportunities to support the person with dementia to experience more positive interpersonal interactions. Research is needed to design and evaluate interventions to address aggressive conflict, tailored to the person’s level of dementia severity, and type and frequency of aggression.

Strengths and Limitations

The study sample was large and representative of Ontario long-term care home residents who may also be similar to residents in many other jurisdictions. Important covariates were adjusted for, as well as within-facility correlation resulting from residents living in the same long-term care home. Limitations of this study include that people with mild dementia were excluded and the cultural background of participants was not known. We suggest using stratified random samples to test the hypotheses in groups with mild dementia and from other cultural backgrounds and jurisdictions. A final limitation is that the measures of aggression that we used did not differentiate between aggression directed toward staff, other residents, or family; who conflict occurs with may affect the association with sadness. 12,22

Conclusion

Verbal aggression and physical aggression were associated with higher odds of sadness. The odds of sadness was the highest for those with moderate cognitive impairment who exhibited verbal aggression less than daily, and for those with severe cognitive impairment who were physically aggressive every day. Future research should include prospective studies to test the temporal nature of the aggression–sadness relationship. Longitudinal studies are needed to assess how aggression and sadness may predict depression.

Acknowledgment

Parts of this material are based on data and information provided by the Canadian Institute for Health Information. However, the analyses, conclusions, opinions, and statements expressed herein are those of the authors and not those of the Canadian Institute for Health Information.

Authors’ Note: Coauthors made equal contributions to the manuscript.

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The authors received no financial support for the research, authorship, and/or publication of this article: This work was supported by Knowledge Translation Canada; Alberta Innovates Health Solutions; University of Alberta Killam Trusts; and the Vanier Canada Graduate Scholarships Program [all trainee stipend support to the first author].

ORCID iD: Hannah M. O’Rourke Inline graphic https://orcid.org/0000-0002-0041-3708

References

  • 1. World Health Organization. The epidemiology and impact of dementia: current state and future trends. 2015. Accessed May 28, 2018. http://www.who.int/mental_health/neurology/dementia/dementia_thematicbrief_epidemiology.pdf
  • 2. Finkel SI, Costa e Silva J, Cohen G, Miller S, Sartorius N. Behavioral and psychological signs and symptoms of dementia: a consensus statement on current knowledge and implications for research and treatment. Int Psychogeriatr. 1996;8(suppl 3):497–500. [DOI] [PubMed] [Google Scholar]
  • 3. Applebaum AJ, Kulikowski JR, Breitbart W. Meaning-centered psychotherapy for cancer caregivers (MCP-C): rationale and overview. Palliat Support Care. 2015;13(6):1631–1641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Cerejeira J, Lagarto L, Mukaetova-Ladinska EB. Behavioral and psychological symptoms of dementia. Front Neurol. 2012;3(5):73. doi:10.3389/fneur.2012.00073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Morley JE, Caplan G, Cesari M, et al. International survey of nursing home research priorities. J Am Med Dir Assoc. 2014;15(5):309–312. doi:10.1016/j.jamda.2014.03.003 [DOI] [PubMed] [Google Scholar]
  • 6. Backhouse T, Killett A, Penhale B, Burns D, Gray R. Behavioural and psychological symptoms of dementia and their management in care homes within the East of England: a postal survey. Aging Ment Health. 2014;18(2):187–193. doi:10.1080/13607863.2013.819834 [DOI] [PubMed] [Google Scholar]
  • 7. Jackson M, Spector W, Rabins P. Risk of behavior problems among nursing home residents in the United States. J Aging Health. 1997;9(4):451–472. [DOI] [PubMed] [Google Scholar]
  • 8. Ornstein K, Gaugler JE, Devanand DP, Scarmeas N, Zhu C, Stern Y. The differential impact of unique behavioral and psychological symptoms for the dementia caregiver: how and why do patients’ individual symptom clusters impact caregiver depressive symptoms? Am J Geriatr Psychiatry. 2013;21(12):1277–1286. doi:10.1016/j.jagp.2013.01.062 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Cubit K, Farrell G, Robinson A, Myhill M. A survey of the frequency and impact of Behaviours of Concern in dementia on residential aged care staff. Australas J Ageing. 2007;26(2):64–70. doi:10.1111/j.1741-6612.2007.00217.x [Google Scholar]
  • 10. Kales HC, Gitlin LN, Lyketsos CG. Assessment and management of behavioral and psychological symptoms of dementia. BMJ. 2015;350:h369. doi:10.1136/bmj.h369 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Bradshaw SA, Playford ED, Riazi A. Living well in care homes: a systematic review of qualitative studies. Age Ageing. 2012;41(4):429–440. [DOI] [PubMed] [Google Scholar]
  • 12. O’Rourke HM, Duggleby W, Fraser KD, Jerke L. Factors that affect quality of life from the perspective of people with dementia: a metasynthesis. J Am Geriatr Soc. 2015;63(1):24–38. doi:10.1111/jgs.13178 [DOI] [PubMed] [Google Scholar]
  • 13. McShane R, Keene J, Fairburn C, Jacoby R, Hope T. Psychiatric symptoms in patients with dementia predict the later development of behavioural abnormalities. Psychol Med. 1998;28(5):1119–1127. [DOI] [PubMed] [Google Scholar]
  • 14. Purandare N, Burns A, Craig S, Faragher B, Scott K. Depressive symptoms in patients with Alzheimer’s disease. Int J Geriatr Psychiatry. 2001;16(10):960–964. doi:10.1002/gps.449 [DOI] [PubMed] [Google Scholar]
  • 15. Sorrell JM. Diagnostic and Statistical Manual of Mental Disorders-5: implications for older adults and their families. J Psychosoc Nurs Ment Health Serv. 2013;51(3):19–22. http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=medl&NEWS=N&AN=23459094 [DOI] [PubMed] [Google Scholar]
  • 16. Lyketsos CG, Steele C, Galik E, et al. Physical aggression in dementia patients and its relationship to depression. Am J Psychiatry. 1999;156(1):66–71. doi:10.1176/ajp.156.1.66 [DOI] [PubMed] [Google Scholar]
  • 17. Menon AS, Gruber-Baldini AL, Hebel JR, et al. Relationship between aggressive behaviors and depression among nursing home residents with dementia. Int J Geriatr Psychiatry. 2001;16(2):139–146. doi:10.1002/1099-1166(200102)16:2<139: AID-GPS284>3.0.CO;2-5 [DOI] [PubMed] [Google Scholar]
  • 18. Beck C, Rossby L, Baldwin B. Correlates of disruptive behavior in severely cognitively impaired elderly nursing home residents. Gerontologist. 1998;38(2):189–198. [DOI] [PubMed] [Google Scholar]
  • 19. Talerico K, Evans L, Strumpf N. Mental health correlates of aggression in nursing home residents with dementia. Gerontologist. 2002;42(2):169–177. [DOI] [PubMed] [Google Scholar]
  • 20. Leonard R, Tinetti ME, Allore HG, Drickamer MA. Potentially modifiable resident characteristics that are associated with physical or verbal aggression among nursing home residents with dementia. Arch Intern Med. 2006;166(12):1295–1300. doi:10.1001/archinte.166.12.1295 [DOI] [PubMed] [Google Scholar]
  • 21. Morgan RO, Sail KR, Snow AL, Davila JA, Fouladi NN, Kunik ME. Modeling causes of aggressive behavior in patients with dementia. Gerontologist. 2013;53(5):738–747. doi:10.1093/geront/gns129 [DOI] [PubMed] [Google Scholar]
  • 22. O’Rourke HM, Fraser KD, Duggleby W, Keating N. The association of perceived conflict with sadness for long term care residents with moderate to severe dementia. Dement Int J Soc Res Pract. 2016. doi:10.1177/1471301216654336 [DOI] [PubMed] [Google Scholar]
  • 23. Canadian Institute for Health Information. Data quality documentation, continuing care reporting system, 2011-2012. 2012. Accessed July 1, 2020. https://secure.cihi.ca/free_products/CCRS_DQ_Report_2011-2012_EN.pdf
  • 24. Demidenko E. Sample size and optimal design for logistic regression with binary interaction. Stat Med. 2008;27(1):36–46. [DOI] [PubMed] [Google Scholar]
  • 25. Poss JW, Jutan NM, Hirdes JP, et al. A review of evidence on the reliability and validity of minimum data set data. Healthc Manag Forum. 2008;21(1):33–39. [DOI] [PubMed] [Google Scholar]
  • 26. Phillips CD, Morris JN. The potential for using administrative and clinical data to analyze outcomes for the cognitively impaired: an assessment of the minimum data set for nursing homes. Alzheimer Dis Assoc Disord. 1997;11(suppl 6):162–167. [PubMed] [Google Scholar]
  • 27. Lawton MP, Casten R, Parmelee PA, Van Haitsma K, Corn J, Kleban MH. Psychometric characteristics of the minimum data set II: validity. J Am Geriatr Soc. 1998;46(6):736–744. [DOI] [PubMed] [Google Scholar]
  • 28. Mor V, Branco K, Fleishman J, et al. The structure of social engagement among nursing home residents. J Gerontol Ser B Psychol Sci Soc Sci. 1995;50(1):P1–P8. [DOI] [PubMed] [Google Scholar]
  • 29. Casten R, Lawton MP, Parmelee PA, Kleban MH. Psychometric characteristics of the minimum data set I: confirmatory factor analysis. J Am Geriatr Soc. 1998;46(6):726–735. [DOI] [PubMed] [Google Scholar]
  • 30. Alexopoulos GS, Abrams RC, Young RC, Shamoian CA. Cornell scale for depression in dementia. Biol Psychiatry. 1988;23(3):271–284. [DOI] [PubMed] [Google Scholar]
  • 31. Morris JN, Hawes C, Mor V, et al. Resident Assessment Instrument (RAI) MDS 2.0 User’s Manual, Canadian Version. inter RAI; 2010. [Google Scholar]
  • 32. Blinded for Review. Embedding the perceptions of people with dementia into quantitative research design. Qual Life Res. 2015;24(5):1145–1155. doi:10.1007/s11136-015-0967-x [DOI] [PubMed] [Google Scholar]
  • 33. Morris JN, Fries BE, Mehr DR, et al. MDS Cognitive Performance Scale. J Gerontol. 1994;49(4): M174–M182. [DOI] [PubMed] [Google Scholar]
  • 34. Morris JN, Fries BE, Morris SA. Scaling ADLs within the MDS. J Gerontol Ser A Biol Sci Med Sci. 1999;54(11): M546–M553. [DOI] [PubMed] [Google Scholar]
  • 35. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198. [DOI] [PubMed] [Google Scholar]
  • 36. Hosmer DW, Lemeshow S, Sturdivant RX. Applied Logistic Regression. John Wiley & Sons, Inc.; 2013. [Google Scholar]
  • 37. Davies HTO, Crombie IK, Tavakoli M. When can odds ratios mislead? BMJ. 1998;316(2):989. doi:10.1136/bmj.316.7136.989 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Zhang J, Yu KF. What’s the relative risk? a method of correcting the odds ratio in cohort studies of common outcomes. JAMA. 1998;280(19):1690–1691. doi:10.1001/jama.280.19.1690 [DOI] [PubMed] [Google Scholar]
  • 39. Feast A, Orrell M, Charlesworth G, Melunsky N, Poland F, Moniz-Cook E. Behavioural and psychological symptoms in dementia and the challenges for family carers: systematic review. Br J Psychiatry. 2016;208(5):429–434. doi:10.1192/bjp.bp.114.153684 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Abraha I, Rimland JM, Trotta FM, et al. Systematic review of systematic reviews of non-pharmacological interventions to treat behavioural disturbances in older patients with dementia. the senator-on top series. BMJ Open. 2017;7(3):e012759. doi:10.1136/bmjopen-2016-012759 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Pinquart M, Sörensen S. Influences of socioeconomic status, social network, and competence on subjective well-being in later life: a meta-analysis. Psychol Aging. 2000;15(2):187–224. doi:10.1037/0882-7974.15.2.187 [DOI] [PubMed] [Google Scholar]
  • 42. Keene J, Hope T, Fairburn CG, Jacoby R, Gedling K, Ware CJ. Natural history of aggressive behaviour in dementia. Int J Geriatr Psychiatry. 1999;14(7):541–548. [DOI] [PubMed] [Google Scholar]
  • 43. Cohen-Mansfield J, Werner P. Longitudinal changes in behavioral problems in old age: a study in an adult day care population. J Gerontol Ser A Biol Sci Med Sci. 1998;53(1):M65–M71. [DOI] [PubMed] [Google Scholar]
  • 44. Algase L, Beck C, Kolanowski A, et al. Need-driven dementia-compromised behaviour: an alternative view of disruptive behaviour. Am J Alzheimer Dis. 1996;11(2):10–19. [Google Scholar]
  • 45. Dooley J, Bailey C, McCabe R. Communication in healthcare interactions in dementia: a systematic review of observational studies. Int Psychogeriatr. 2015;27(8):1277–1300. doi:10.1017/S1041610214002890 [DOI] [PubMed] [Google Scholar]

Articles from American Journal of Alzheimer's Disease and Other Dementias are provided here courtesy of SAGE Publications

RESOURCES