[Skip to Navigation]
Sign In
Figure 1.  Overrepresentation of Dementia Among Individuals With a Mental Disorder
Overrepresentation of Dementia Among Individuals With a Mental Disorder

The prevalence of dementia diagnoses was higher among individuals diagnosed with a mental disorder than among those without a mental disorder diagnosis. This was the case in the total population (A) and among men (B) and women (C) of all ages. Prevalence estimates were calculated over the 30-year observation period. Counts were randomly rounded to a base of 3 per the confidentiality rules of Statistics New Zealand. Therefore, counts do not always sum to totals. Age ranges indicate ages during the 30-year observation period.

Figure 2.  Associations Between Mental Disorder Diagnoses and Subsequent Dementia and Chronic Physical Disease Diagnoses and Subsequent Dementia
Associations Between Mental Disorder Diagnoses and Subsequent Dementia and Chronic Physical Disease Diagnoses and Subsequent Dementia

Both mental disorders and chronic physical diseases were associated with subsequent dementia, but associations for mental disorders were larger than those for physical diseases. This was the case among men (A) and women (B) of all ages. Estimates are from multivariate models in which mental disorders and physical diseases were entered together as predictors. We ascertained mental disorder and physical disease diagnoses during the 30-year observation period. To be included in analyses, dementia diagnoses had to occur subsequent to the mental disorder or physical disease diagnosis. Models in which data were combined across cohorts (within sex) controlled for birth year. Error bars indicate 95% CIs.

Figure 3.  Specificity of Associations
Specificity of Associations

A, Mental disorders of many types were associated with subsequent onset of any dementia. The other mental disorder category includes physiological disturbance, personality, developmental, behavioral, and unspecified disorders. B, Mental disorders were associated with both Alzheimer disease and all other dementias. Dementia subtypes were ascertained using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) and corresponding ICD-9 codes from public hospital and mortality records; pharmaceutical prescriptions were excluded from this ascertainment scheme because they did not specify dementia subtype. Mental disorder cases and controls were matched on observation time. Analyses excluded individuals who had dementia prior to their mental health diagnosis or prior to the start of their matched observation period. Estimates were adjusted for sex, birth year, and preexisting chronic physical disease diagnoses. Error bars indicate 95% CIs. Associations by age and sex are shown in eAppendix 10 in the Supplement.

Table.  Associations Between Mental Disorders and Subsequent Dementia in the New Zealand Populationa
Associations Between Mental Disorders and Subsequent Dementia in the New Zealand Populationa
1.
Global action plan on the public health response to dementia, 2017-2025. World Health Organization. Published 2017. Accessed January 11, 2022. https://apps.who.int/iris/bitstream/handle/10665/259615/9789241513487-eng.pdf?sequence=1
2.
Liang  JH, Lu  L, Li  JY,  et al.  Contributions of modifiable risk factors to dementia incidence: a bayesian network analysis.   J Am Med Dir Assoc. 2020;21(11):1592-1599.e13. doi:10.1016/j.jamda.2020.04.006PubMedGoogle ScholarCrossref
3.
Livingston  G, Huntley  J, Sommerlad  A,  et al.  Dementia prevention, intervention, and care: 2020 report of the Lancet Commission.   Lancet. 2020;396(10248):413-446. doi:10.1016/S0140-6736(20)30367-6PubMedGoogle ScholarCrossref
4.
National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Sciences Policy; Committee on Preventing Dementia and Cognitive Impairment.  Preventing Cognitive Decline and Dementia: a Way Forward. Downey  A, Stroud  C, Landis  S, Leshner  AI, eds. National Academies Press; 2017.
5.
Vos  SJB, van Boxtel  MPJ, Schiepers  OJG,  et al.  Modifiable risk factors for prevention of dementia in midlife, late life and the oldest-old: validation of the LIBRA index.   J Alzheimers Dis. 2017;58(2):537-547. doi:10.3233/JAD-161208PubMedGoogle ScholarCrossref
6.
Baumgart  M, Snyder  HM, Carrillo  MC, Fazio  S, Kim  H, Johns  H.  Summary of the evidence on modifiable risk factors for cognitive decline and dementia: a population-based perspective.   Alzheimers Dement. 2015;11(6):718-726. doi:10.1016/j.jalz.2015.05.016PubMedGoogle ScholarCrossref
7.
Moffitt  TE, Caspi  A.  Psychiatry’s opportunity to prevent the rising burden of age-related disease.   JAMA Psychiatry. 2019;76(5):461-462. doi:10.1001/jamapsychiatry.2019.0037PubMedGoogle ScholarCrossref
8.
Becker  E, Orellana Rios  CL, Lahmann  C, Rücker  G, Bauer  J, Boeker  M.  Anxiety as a risk factor of Alzheimer’s disease and vascular dementia.   Br J Psychiatry. 2018;213(5):654-660. doi:10.1192/bjp.2018.173PubMedGoogle ScholarCrossref
9.
Gimson  A, Schlosser  M, Huntley  JD, Marchant  NL.  Support for midlife anxiety diagnosis as an independent risk factor for dementia: a systematic review.   BMJ Open. 2018;8(4):e019399. doi:10.1136/bmjopen-2017-019399PubMedGoogle Scholar
10.
Cai  L, Huang  J.  Schizophrenia and risk of dementia: a meta-analysis study.   Neuropsychiatr Dis Treat. 2018;14:2047-2055. doi:10.2147/NDT.S172933PubMedGoogle ScholarCrossref
11.
Velosa  J, Delgado  A, Finger  E, Berk  M, Kapczinski  F, de Azevedo Cardoso  T.  Risk of dementia in bipolar disorder and the interplay of lithium: a systematic review and meta-analyses.   Acta Psychiatr Scand. 2020;141(6):510-521. doi:10.1111/acps.13153PubMedGoogle ScholarCrossref
12.
Holmquist  S, Nordström  A, Nordström  P.  The association of depression with subsequent dementia diagnosis: a Swedish nationwide cohort study from 1964 to 2016.   PLOS Med. 2020;17(1):e1003016. doi:10.1371/journal.pmed.1003016Google Scholar
13.
Plana-Ripoll  O, Pedersen  CB, Holtz  Y,  et al.  Exploring comorbidity within mental disorders among a Danish national population.   JAMA Psychiatry. 2019;76(3):259-270. doi:10.1001/jamapsychiatry.2018.3658PubMedGoogle ScholarCrossref
14.
Cooper  B, Holmes  C.  Previous psychiatric history as a risk factor for late-life dementia: a population-based case-control study.   Age Ageing. 1998;27(2):181-188. doi:10.1093/ageing/27.2.181PubMedGoogle ScholarCrossref
15.
Zilkens  RR, Bruce  DG, Duke  J, Spilsbury  K, Semmens  JB.  Severe psychiatric disorders in mid-life and risk of dementia in late life (age 65-84 years): a population based case-control study.   Curr Alzheimer Res. 2014;11(7):681-693. doi:10.2174/1567205011666140812115004PubMedGoogle ScholarCrossref
16.
Kessing  LV, Søndergård  L, Forman  JL, Andersen  PK.  Antidepressants and dementia.   J Affect Disord. 2009;117(1-2):24-29. doi:10.1016/j.jad.2008.11.020PubMedGoogle ScholarCrossref
17.
Leigh-Hunt  N, Bagguley  D, Bash  K,  et al.  An overview of systematic reviews on the public health consequences of social isolation and loneliness.   Public Health. 2017;152:157-171. doi:10.1016/j.puhe.2017.07.035PubMedGoogle ScholarCrossref
18.
Seblova  D, Fischer  M, Fors  S,  et al.  Does prolonged education causally affect dementia risk when adult socioeconomic status is not altered? a Swedish natural experiment in 1.3 million individuals.   Am J Epidemiol. 2021;190(5):817-826. doi:10.1093/aje/kwaa255PubMedGoogle ScholarCrossref
19.
Vermeulen-Smit  E, Ten Have  M, Van Laar  M, De Graaf  R.  Clustering of health risk behaviours and the relationship with mental disorders.   J Affect Disord. 2015;171:111-119. doi:10.1016/j.jad.2014.09.031PubMedGoogle ScholarCrossref
20.
Barnett  JH, Salmond  CH, Jones  PB, Sahakian  BJ.  Cognitive reserve in neuropsychiatry.   Psychol Med. 2006;36(8):1053-1064. doi:10.1017/S0033291706007501PubMedGoogle ScholarCrossref
21.
Bennett  S, Grant  MM, Aldred  S.  Oxidative stress in vascular dementia and Alzheimer’s disease: a common pathology.   J Alzheimers Dis. 2009;17(2):245-257. doi:10.3233/JAD-2009-1041PubMedGoogle ScholarCrossref
22.
Clancy  U, Gilmartin  D, Jochems  ACC, Knox  L, Doubal  FN, Wardlaw  JM.  Neuropsychiatric symptoms associated with cerebral small vessel disease: a systematic review and meta-analysis.   Lancet Psychiatry. 2021;8(3):225-236. doi:10.1016/S2215-0366(20)30431-4PubMedGoogle ScholarCrossref
23.
Lutz  MW, Sprague  D, Barrera  J, Chiba-Falek  O.  Shared genetic etiology underlying Alzheimer’s disease and major depressive disorder.   Transl Psychiatry. 2020;10(1):88. doi:10.1038/s41398-020-0769-yPubMedGoogle ScholarCrossref
24.
Salim  S.  Oxidative stress and psychological disorders.   Curr Neuropharmacol. 2014;12(2):140-147. doi:10.2174/1570159X11666131120230309PubMedGoogle ScholarCrossref
25.
Watson  A, Joyce  E.  Cognitive reserve and neuropsychiatric disorders.   Curr Opin Behav Sci. 2015;4:142-146. doi:10.1016/j.cobeha.2015.05.003Google ScholarCrossref
26.
Milne  BJ, Atkinson  J, Blakely  T,  et al.  Data resource profile: the New Zealand Integrated Data Infrastructure (IDI).   Int J Epidemiol. 2019;48(3):677-677e. doi:10.1093/ije/dyz014PubMedGoogle ScholarCrossref
27.
Stats New Zealand. Integrated data infrastructure. Accessed July 7, 2021. https://www.stats.govt.nz/integrated-data/integrated-data-infrastructure
29.
Baker  MG, Barnard  LT, Kvalsvig  A,  et al.  Increasing incidence of serious infectious diseases and inequalities in New Zealand: a national epidemiological study.   Lancet. 2012;379(9821):1112-1119. doi:10.1016/S0140-6736(11)61780-7PubMedGoogle ScholarCrossref
30.
Richmond-Rakerd  LS, D’Souza  S, Milne  BJ, Caspi  A, Moffitt  TE.  Longitudinal associations of mental disorders with physical diseases and mortality among 2.3 million New Zealand citizens.   JAMA Netw Open. 2021;4(1):e2033448. doi:10.1001/jamanetworkopen.2020.33448PubMedGoogle Scholar
31.
Walesby  KE, Exeter  DJ, Gibb  S, Wood  PC, Starr  JM, Russ  TC.  Prevalence and geographical variation of dementia in New Zealand from 2012 to 2015: brief report utilising routinely collected data within the Integrated Data Infrastructure.   Australas J Ageing. 2020;39(3):297-304. doi:10.1111/ajag.12790PubMedGoogle ScholarCrossref
32.
VanderWeele  TJ, Ding  P.  Sensitivity analysis in observational research: introducing the E-value.   Ann Intern Med. 2017;167(4):268-274. doi:10.7326/M16-2607PubMedGoogle ScholarCrossref
33.
Belloy  ME, Napolioni  V, Greicius  MD.  A quarter century of APOE and Alzheimer’s disease: progress to date and the path forward.   Neuron. 2019;101(5):820-838. doi:10.1016/j.neuron.2019.01.056PubMedGoogle ScholarCrossref
34.
Beurel  E, Toups  M, Nemeroff  CB.  The bidirectional relationship of depression and inflammation: double trouble.   Neuron. 2020;107(2):234-256. doi:10.1016/j.neuron.2020.06.002PubMedGoogle ScholarCrossref
35.
Rehm  J, Hasan  OSM, Black  SE, Shield  KD, Schwarzinger  M.  Alcohol use and dementia: a systematic scoping review.   Alzheimers Res Ther. 2019;11(1):1. doi:10.1186/s13195-018-0453-0PubMedGoogle ScholarCrossref
36.
Harvey  PD, Rosenthal  JB.  Cognitive and functional deficits in people with schizophrenia: evidence for accelerated or exaggerated aging?   Schizophr Res. 2018;196:14-21. doi:10.1016/j.schres.2017.05.009PubMedGoogle ScholarCrossref
37.
Brommelhoff  JA, Gatz  M, Johansson  B, McArdle  JJ, Fratiglioni  L, Pedersen  NL.  Depression as a risk factor or prodromal feature for dementia? findings in a population-based sample of Swedish twins.   Psychol Aging. 2009;24(2):373-384. doi:10.1037/a0015713PubMedGoogle ScholarCrossref
38.
Yang  W, Li  X, Pan  K-Y,  et al.  Association of life-course depression with the risk of dementia in late life: a nationwide twin study.   Alzheimers Dement. 2021;17(8):1383-1390. doi:10.1002/alz.12303Google ScholarCrossref
39.
World Alzheimer Report 2019: attitudes to dementia. Alzheimer's Disease International. Published online September 20, 2019. Accessed July 6, 2021. https://www.alzint.org/resource/world-alzheimer-report-2019/
40.
Musiek  ES, Morris  JC.  Possible consequences of the approval of a disease-modifying therapy for Alzheimer disease.   JAMA Neurol. 2021;78(2):141-142. doi:10.1001/jamaneurol.2020.4478PubMedGoogle ScholarCrossref
41.
Powell  T. What a bad day science had. The Hastings Center. Published June 8, 2021. Accessed July 6, 2021. https://www.thehastingscenter.org/what-a-bad-day-science-had/
42.
Hendriks  S, Peetoom  K, Bakker  C,  et al; Young-Onset Dementia Epidemiology Study Group.  Global prevalence of young-onset dementia: a systematic review and meta-analysis.   JAMA Neurol. 2021;78(9):1080-1090. doi:10.1001/jamaneurol.2021.2161PubMedGoogle ScholarCrossref
43.
da Silva  J, Gonçalves-Pereira  M, Xavier  M, Mukaetova-Ladinska  EB.  Affective disorders and risk of developing dementia: systematic review.   Br J Psychiatry. 2013;202(3):177-186. doi:10.1192/bjp.bp.111.101931PubMedGoogle ScholarCrossref
44.
Ribe  AR, Laursen  TM, Charles  M,  et al.  Long-term risk of dementia in persons with schizophrenia: a Danish population-based cohort study.   JAMA Psychiatry. 2015;72(11):1095-1101. doi:10.1001/jamapsychiatry.2015.1546PubMedGoogle ScholarCrossref
45.
Kohn  R, Saxena  S, Levav  I, Saraceno  B.  The treatment gap in mental health care.   Bull World Health Organ. 2004;82(11):858-866.PubMedGoogle Scholar
46.
Kazdin  AE.  Annual Research Review: expanding mental health services through novel models of intervention delivery.   J Child Psychol Psychiatry. 2019;60(4):455-472. doi:10.1111/jcpp.12937PubMedGoogle ScholarCrossref
2 Comments for this article
EXPAND ALL
Psychiatric medication could explain why dementia is higher with mental disorders
Eric Kuelker, Ph.D. | Private Practice
These findings could be explained by the hypothesis that using antidepressant pills is a causal factor in dementia. It is known that depression is a risk factor for dementia, in and of itself. However, a meta-analysis of studies including 2 million people found that among depressed people, those who use SSRI’s have 37% higher risk of dementia than those who do not. There is a dose response effect, as depressed patients who had no prescription of antidepressants had the lowest risk of developing dementia (HR 2.37) and Alzheimer's Disease (HR 2.59) compared with controls. Depressed people who had at least two adequate antidepressant trials (and did not respond) had the highest risk of developing dementia (hazard ratio [HR] = 5.19) and Alzheimer's Disease (HR 4.44). Since the pills work by altering the functioning of brain cells (blocking serotonin reuptake), a link between pills and dementia is biologically plausible.

I agree with the authors that ameliorating mental disorders can benefit cognitive functioning among older individuals. However, if intervention means medication, then we may be making the problem much worse. We are giving pills that interfere with the functioning of brain cells.

On the flip side, there is no evidence that psychotherapy such as CBT increases the likelihood of dementia. There also is no plausible biological pathway wherein CBT negatively impacts brain cells and thereby increases the risk of dementia or Alzheimer's. CBT actually improves physical health, by consistently reducing inflammation and improving immune system functioning.

Eric Kuelker Ph.D. R.Psych.

https://pubmed.ncbi.nlm.nih.gov/30711460/
https://pubmed.ncbi.nlm.nih.gov/32664018/
https://pubmed.ncbi.nlm.nih.gov/28382827/
https://pubmed.ncbi.nlm.nih.gov/32492090/
CONFLICT OF INTEREST: None Reported
READ MORE
The need to rule out psychiatric medication effects
Ahmad Alshayea, PhD in Health Research | Assoc. prof. of abnormal psychology, dept. of psychology, King Saud University, Saudi Arabia.
This is a very important study on the link between dementia & psychological disorders (PDs), characterized by clear rigorous methodology. However, unfortunately, effect of psychopharmacological agents (PAs) commonly prescribed to treat PDs didn’t seem to be ruled out properly!

Indeed, there are enough reasons to assume the existence of a robust association between dementia & PDs, which is a highly plausible hypothesis. Yet, given the fact that PAs impact upon cognitive functions, and perhaps brain regions structurally,
specifying this link would only be clearly identified if such effects are determined & isolated.
CONFLICT OF INTEREST: None Reported
Original Investigation
February 16, 2022

Longitudinal Associations of Mental Disorders With Dementia: 30-Year Analysis of 1.7 Million New Zealand Citizens

Author Affiliations
  • 1Department of Psychology, University of Michigan, Ann Arbor
  • 2Centre of Methods and Policy Application in the Social Sciences (COMPASS), University of Auckland, Auckland, New Zealand
  • 3School of Social Sciences, University of Auckland, Auckland, New Zealand
  • 4Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
  • 5Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
  • 6Center for Genomic and Computational Biology, Duke University, Durham, North Carolina
  • 7Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
  • 8Promenta Center, University of Oslo, Oslo, Norway
JAMA Psychiatry. 2022;79(4):333-340. doi:10.1001/jamapsychiatry.2021.4377
Key Points

Question  Do mental disorders antedate dementia in the population?

Findings  In this population-based administrative register study of 1.7 million New Zealand citizens observed for 3 decades, people with early-life mental disorders were at elevated risk of subsequent dementia and younger dementia onset. Associations were evident across different psychiatric conditions, for Alzheimer disease and all other dementias, and after accounting for preexisting physical diseases and socioeconomic deprivation.

Meaning  Findings from this study suggest that ameliorating mental disorders in early life might reduce risk of cognitive decline and neurodegenerative disease in later life.

Abstract

Importance  Mental disorders are an underappreciated category of modifiable risk factors for dementia. Developing an evidence base about the link between mental disorders and dementia risk requires studies that use large, representative samples, consider the full range of psychiatric conditions, ascertain mental disorders from early life, use long follow-ups, and distinguish between Alzheimer disease and related dementias.

Objective  To test whether mental disorders antedate dementia across 3 decades of observation.

Design, Setting, and Participants  This population-based administrative register study of mental disorders and Alzheimer disease and related dementias included all individuals born in New Zealand between 1928 and 1967 who resided in the country for any time during the 30-year observation period between July 1988 and June 2018. Data were from the New Zealand Integrated Data Infrastructure, a collection of whole-of-population administrative data sources linked at the individual level. Data were analyzed from October 2020 to November 2021.

Exposures  Diagnoses of mental disorders were ascertained from public-hospital records.

Main Outcomes and Measures  Diagnoses of dementia were ascertained from public-hospital records, mortality records, and pharmaceutical records.

Results  Of 1 711 386 included individuals, 866 301 (50.6%) were male, and individuals were aged 21 to 60 years at baseline. Relative to individuals without a mental disorder, those with a mental disorder were at increased risk of developing subsequent dementia (relative risk [RR], 4.24; 95% CI, 4.07-4.42; hazard ratio, 6.49; 95% CI, 6.25-6.73). Among individuals with dementia, those with a mental disorder developed dementia a mean of 5.60 years (95% CI, 5.31-5.90) earlier than those without a mental disorder. Associations held across sex and age and after accounting for preexisting chronic physical diseases and socioeconomic deprivation. Associations were present across different types of mental disorders and self-harm behavior (RRs ranged from 2.93 [95% CI, 2.66-3.21] for neurotic disorders to 6.20 [95% CI, 5.67-6.78] for psychotic disorders), and were evident for Alzheimer disease (RR, 2.76; 95% CI, 2.45-3.11) and all other dementias (RR, 5.85; 95% CI, 5.58-6.13).

Conclusions and Relevance  In this study, mental disorders were associated with the onset of dementia in the population. Ameliorating mental disorders in early life might also ameliorate neurodegenerative conditions and extend quality of life in old age.

Introduction

Old age brings risk for many physical diseases, but neurodegenerative conditions, including Alzheimer disease and related dementias, have a disproportionate impact on disability and loss of independence in older adults.1 Recognition of the outsized influence of dementia on later-life functioning has fueled research into modifiable risk factors and prevention targets.2-6

Mental disorders might comprise an underappreciated category of modifiable risk factors.7 A recent commission of dementia experts identified depression among the 12 preventable risk factors most robustly associated with dementia.3 Systematic reviews and meta-analyses have implicated other psychiatric conditions in dementia risk, including anxiety,8,9 schizophrenia,10 and bipolar disorder.11 However, most dementia risk indexes do not include mental disorders or count only depression.3

Prior research has provided important information about dementia’s psychiatric antecedents. However, with few exceptions,12,13 most prospective studies have observed individuals from midlife or later, limiting the ability to capture mental disorders during their earlier life period of peak prevalence and compare associations with early-onset vs later-onset dementia. Further, most research has focused on 1 mental disorder at a time. The few studies to evaluate more than 1 disorder have grouped dementia outcomes with other organic disorders,13 used retrospective case-control designs,14 or observed individuals from midlife.15 Evaluating the full range of psychiatric conditions prospectively and from early life and ascertaining dementia outcomes specifically is necessary to differentiate generalized from disorder-specific risk factors over the life span. Here, we address these gaps by leveraging nationwide health register data on 1.7 million New Zealand citizens aged 21 to 60 years at baseline to track associations between the complete range of mental disorders and subsequent dementia across 3 decades.

An association between mental disorders and dementia would provide a basis for basic science and epidemiologic studies aiming to clarify its underlying mechanisms. The association could result from mechanisms precipitated by psychiatric problems, such as poor health behaviors, social isolation, effects of psychiatric medications, or downward socioeconomic drift.16-19 An association might also arise from shared causes, including genetic risk, low childhood IQ, low education, neuroinflammation, oxidative stress, or cerebral small-vessel disease.3,20-25 Even if the association is not causal, establishing a prospective link would identify psychiatric conditions as an early warning sign for neurodegenerative disease.

We tested the hypothesis that mental disorders are associated with dementia in the population. We tested whether associations are present across different psychiatric conditions and for Alzheimer disease and all other dementias. We also tested whether associations held after controlling for preexisting chronic physical diseases.

Methods

Data were from the New Zealand Integrated Data Infrastructure, a collection of deidentified, individually linked, whole-of-population administrative data sources.26,27 Ethical approval was obtained from the University of Auckland Human Participants Ethics Committee. Output data underwent confidentiality review by Statistics New Zealand Tatauranga Aotearoa. Informed consent was not obtained per rule 11(2)(c)(iii) of the New Zealand Health Information Privacy Code,28 which, under certain circumstances, allows for anonymized health data to be used for research without the authorization of the individual concerned. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Study Population

Our study population included the 1 711 386 individuals aged 21 to 90 years who were born in New Zealand between 1928 and 1967 and who resided in New Zealand for any time between the July 1988 and June 2018 fiscal years. We selected this age range to capture as much of the period of peak prevalence for mental disorders as possible, while also capturing the period of risk for dementia (including early-onset conditions) during the 30-year period. We excluded individuals who were not born in New Zealand; were born in New Zealand outside of 1928 to 1967; or were born in New Zealand between 1928 and 1967 but died before the observation period or were overseas during the entire period. We divided the population into age-bands (born from 1928-1937, 1938-1947, 1948-1957, and 1958-1967).

Mental Disorders

We collected information about mental health admissions to public hospitals from records maintained by the New Zealand Ministry of Health. Public hospitals administer most of New Zealand’s medical treatment.29 They provide acute and nonacute services (including medical, surgical, maternity, diagnostic, and emergency services) for mental and physical health concerns. We collected information about primary diagnoses, external cause codes, and procedure codes for admissions based on International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) and corresponding diagnoses in ICD-9. We classified 9 broad categories of mental disorders: substance use, psychotic, mood, neurotic (ie, anxiety), physiological disturbance, personality, developmental, behavioral, and unspecified disorders. We also obtained data about self-harm. Details of diagnoses and their coding are reported previously30 and in eAppendix 1 in the Supplement.

Alzheimer Disease and Related Dementias

We collected information about Alzheimer disease and related dementia diagnoses using a previously published scheme.31 Dementias were ascertained via ICD-10 and corresponding ICD-9 dementia codes in public hospital and mortality records maintained by the New Zealand Ministry of Health and antidementia drug prescriptions in pharmaceutical records maintained by the New Zealand Pharmaceutical Management Agency (eAppendix 2 in the Supplement). Hospital records were available for the 30-year observation period (July 1988 to June 2018), mortality records were available from July 1988 to December 2016, and pharmaceutical records were available from July 2006 to June 2018. Although dementia in the community was likely underidentified in our medical register–based ascertainment scheme, cases were classified accurately: 83.1% of cases diagnosed with dementia in medical registers were also diagnosed in community-based assessments (eAppendix 3 in the Supplement).

Physical Diseases

We obtained information about 8 physical diseases classified as chronic by the New Zealand Ministry of Health, including coronary heart disease, gout, chronic obstructive pulmonary disease, diabetes, cancer, traumatic brain injury, stroke, and myocardial infarction. Details of diagnoses and their coding are reported previously30 and in eAppendix 4 in the Supplement.

Statistical Analysis

We used Poisson regression models with relative risks (RRs) to estimate the associations between a diagnosis of any mental disorder, a diagnosis of any physical disease, and subsequent dementia. We estimated bivariate associations and multivariate associations in which mental disorders and physical diseases were entered together as predictors.

To conduct a fine-grained analysis of the temporal association between mental disorders and dementia, we used Poisson regression models with RRs and Cox proportional hazards models (with censoring for out-migration or death from causes other than dementia) to estimate the associations between individuals’ index mental disorder (first diagnosed mental disorder during the observation period) and subsequent dementia, controlling for physical diseases diagnosed before the index disorder. We used generalized linear models to obtain unadjusted and covariate-adjusted estimates (least-squares means) of mean time to dementia diagnosis among individuals with and without a mental disorder diagnosis. In the Cox and generalized linear models, time since the index mental disorder (in days) was the time variable.

We analyzed associations for all mental disorders together and separately for each disorder type. We analyzed associations for all dementias together and separately for Alzheimer disease vs other dementias. To account for differing durations of observation time between mental disorder cases (observed from their first mental health hospitalization) and controls (all observed for 30 years with no mental disorder), we randomly assigned observation periods to controls to match observation durations among cases (eAppendix 5 in the Supplement).30 To preclude reverse causation, analyses excluded the 5559 individuals who had dementia prior to their mental health diagnosis or prior to the start of their matched observation period. We weighted data for Poisson regression analyses based on time alive and in New Zealand to account for remaining differences between individuals in observation time owing to death or out-migration. We conducted sensitivity analyses to test whether associations were robust to exclusion of pharmaceutical and mortality records from the dementia ascertainment scheme, use of unweighted data, and control for neighborhood deprivation as a proxy for social class.

Associations were estimated within the total population and by age band and sex. Models using the total population controlled for sex and birth year. Per the confidentiality rules of Statistics New Zealand, reported counts were randomly rounded to a base of 3. Therefore, counts do not always sum to totals. Statistical analysis was performed using SAS Enterprise Guide version 7.1 (SAS Institute).

Results
Distributions of Mental Disorders and Dementia

The study population included the 1 711 386 individuals (866 301 [50.6%] men and 845 085 [49.4%] women; aged 21 to 60 years at baseline) who were born in New Zealand between 1928 and 1967 and resided in New Zealand for any period between July 1988 and June 2018. Of these individuals, 252 981 (14.8%) were born between 1928 and 1937, 356 232 (20.8%) between 1938 and 1947, 500 673 (29.3%) between 1948 and 1957, and 601 494 (35.1%) between 1958 and 1967.

During the 30-year period, 64 857 individuals (3.8%) were identified as having a mental disorder and 34 029 (2.0%) were identified as having dementia. Similar percentages of men and women and more younger than older individuals were identified as having a mental disorder. Similar percentages of men and women and more older than younger individuals were identified as having dementia (eAppendix 6 in the Supplement).

Dementia was overrepresented among individuals with a mental disorder: of individuals diagnosed with a mental disorder, 6.1% (3957 of 64 857) were also diagnosed with dementia during the observation period, compared with 1.8% of individuals (30 072 of 1 646 529) without a mental disorder (Figure 1A). Dementia was overrepresented among mental disorder cases in men, women, and all age bands (Figure 1B and C).

Associations of Mental Disorders With Subsequent Dementia

Individuals diagnosed with a mental disorder were more likely to develop dementia than those without a mental disorder diagnosis (RR, 3.51; 95% CI, 3.39-3.64). The association between mental disorders and dementia was larger than the association between physical diseases and dementia (RR, 1.19; 95% CI, 1.16-1.21). Associations with mental disorders were evident in men, women, and all age bands (Figure 2; eAppendix 7 in the Supplement). Associations were stronger among more recently born cohorts (Figure 2; eAppendix 7 in the Supplement).

The association between mental disorders and dementia was equally evident when we observed individuals from their index mental disorder and equated mental disorder cases and controls on observation time. Even after accounting for preexisting physical illnesses, those with a mental disorder remained at elevated risk of developing dementia (RR, 4.24; 95% CI, 4.07-4.42; HR, 6.49; 95% CI, 6.25-6.73), and increased risk was evident across different lengths of follow-up from the index mental disorder (eAppendix 8 in the Supplement). Among individuals diagnosed with dementia, those diagnosed with a mental disorder developed dementia a mean of 5.60 (95% CI, 5.31-5.90) years earlier than those without a mental disorder diagnosis (mean time to dementia: with a mental disorder, 8.56 years; 95% CI, 8.29-8.84; with no mental disorder, 14.17 years; 95% CI, 14.07-14.27; eAppendix 9 in the Supplement). This association was observed across sex and age (Table). Associations were stronger among more recently born cohorts (Table).

Associations Across Mental Disorder Types

Individuals diagnosed with psychotic, substance use, mood, neurotic, and all other mental disorders and who engaged in self-harm were all more likely than those without a mental disorder to be diagnosed with subsequent dementia, even after accounting for their physical disease histories (Figure 3A; eAppendix 10 in the Supplement). RRs ranged from 2.93 (95% CI, 2.66-3.21) for neurotic disorders to 6.20 (95% CI, 5.67-6.78) for psychotic disorders (Figure 3A).

Associations Across Dementia Types

Associations were evident for Alzheimer disease (RR, 2.76; 95% CI, 2.45-3.11) and all other dementias (RR, 5.85; 95% CI, 5.58-6.13; Figure 3B; eAppendix 10 in the Supplement). Associations were larger for dementias other than Alzheimer, which may reflect that individuals with mental disorders are more likely to develop dementias stemming from poor health behaviors and chronic physical diseases.30 This difference in estimates was smallest in the earliest born cohort (eAppendix 10 in the Supplement).

Associations Across Specifications

Pharmaceutical and mortality data were available for only portions of the observation period. To determine whether findings depended on these information sources, we reestimated associations after removing pharmaceutical and mortality records, separately, from the dementia ascertainment scheme. To determine the effect of weighting for time overseas and death, we reestimated associations using unweighted data. Associations were similar or slightly larger across specifications (eAppendices 11, 12, and 13 in the Supplement). To test whether associations were attributable to social class, we controlled for neighborhood deprivation. Associations were attenuated but still substantial (eAppendix 14 in the Supplement).

To assess the potential for unmeasured confounding to explain the association between mental disorder and dementia, we computed an E-value, which estimates what the risk ratio would need to be for an unmeasured confounder (or set of confounders) to explain away the observed association.32 The association between mental disorder and dementia (RR, 4.24; 95% CI, 4.07-4.42) could only be explained away by an unmeasured confounder associated with both mental disorder and dementia by a risk ratio of at least 7.95-fold each, above and beyond the measured confounders. The 95% CI could be moved to include the null only by an unmeasured confounder associated with both mental disorder and dementia by a risk ratio of at least 7.60-fold each, above and beyond the measured confounders.

Discussion

In this nationwide health register analysis of 1.7 million citizens observed across 3 decades, individuals with mental disorders were at elevated risk of subsequent dementia and younger dementia onset. Increased risk was stronger for mental disorders than physical diseases and on par with established risks, including the APOE4 allele.33 Associations were present across different mental disorders, earlier-onset and later-onset dementias, Alzheimer disease and other dementias, men and women, and all age groups and remained after accounting for preexisting physical diseases and socioeconomic deprivation.

These results have several implications. First, if associations are causal, ameliorating mental disorders in early life might mitigate neurodegenerative disease in later life. Associations were observed across different mental disorders, suggesting that preventing any disorder in early life might benefit later-life cognitive health. However, different mechanisms may connect different disorders with dementia. Depression may prompt neuroinflammation,34 excessive alcohol use can lead to brain damage,35 and psychosis may precipitate accelerated cognitive and functional decline.36 Characterizing shared and unique pathways of risk for dementia across different psychiatric disorders should be a research priority.

Second, mental disorders are a particularly salient antecedent of dementia among younger individuals. We observed stronger associations among the most recently born cohorts. This may reflect that individuals with mental disorders tend to die earlier than individuals without mental disorders30 and do not contribute dementia cases to the oldest age groups. It may also be that older individuals have more opportunity to accumulate risk factors for dementia beyond mental disorders. Our analysis cannot resolve the explanation but does reveal that poor mental health is associated with poor cognitive health among younger individuals, not just older individuals.

Third, mental disorders may be indicators of risk rather than causes of dementia. We established the temporal ordering of mental disorders before dementia, addressed reverse causation, and ruled out poor physical health and socioeconomic deprivation as alternative explanations for associations. However, there may be shared risk factors we did not measure that underlie the association between mental disorders and dementia, including a general liability to poor brain health (although twin-difference and sibling-difference analyses indicate that the association between depression and dementia holds after controlling for shared familial risks for at least these 2 conditions).12,37,38 Even if mental disorders do not cause dementia, they are a very early warning sign of subsequent cognitive decline, with intervention implications. Dementia is not typically treated until later life, but our findings support embedding dementia prevention into mental disorder treatment, across the life course. For instance, mental health professionals could deliver psychoeducation to clients about health behaviors to reduce dementia risk19 and implement interventions targeting other modifiable dementia risk factors that are more common in patients with mental disorders, such as social disconnection.17 Behavioral approaches are likely to be more cost-effective and consumer friendly than preventive dementia therapies, which are anticipated to be expensive, scarce, and in high demand.39-41

Fourth, our results highlight opportunities and challenges for future research on the association between psychiatric and neurological health. Opportunities include interrogating the mechanisms linking mental disorders with dementia, which could provide insights into prevention targets. If mental disorders are causal, this suggests the hypothesis that participants in psychiatric randomized clinical trials should be protected against dementia, which could be tested at long-term follow-up. A challenge will be how to retain participants with poor mental and cognitive health for follow-up into late life.

Several forms of bias and phenotype misclassification may exist. First, dementia may not be accurately diagnosed in medical records. However, our medical register–based dementia diagnoses corresponded highly with diagnoses from community-based assessments. Second, individuals with a mental disorder might have a greater opportunity to be diagnosed with dementia because they present more often for treatment or because clinicians are more likely to perform mental status examinations, including assessments of cognition for individuals with a mental disorder. Alternatively, disorders such as depression and anxiety may be more likely to be diagnosed among individuals with dementia owing to confusion regarding prodromal dementia symptoms or because physicians and families wish to target treatable mental health conditions before confirming a dementia diagnosis. These factors could have influenced our results if mental disorder and dementia diagnoses were assigned concurrently or in close succession. However, we observed associations across 30 years, with increased risk maintained over time; associations were evident for a range of mental disorders, not just depression and anxiety; and the mean time to dementia diagnosis following individuals’ first mental disorder diagnosis was 8.6 years, suggesting that in most cases, diagnoses were not assigned concurrently or in close succession. Third, the larger associations among more recently born cohorts may reflect that dementia cases are more likely to be missed among younger individuals without mental disorders because they have had less opportunity to present for treatment. However, there were only a modest number of dementia cases in the youngest cohort, and we likely captured most cases, as the cohort-level prevalence of dementia (0.1%) aligns with estimates of the global prevalence of early-onset dementia.42

Limitations

This research has limitations. First, results cannot necessarily be generalized to other nations or health care systems. However, associations between some mental disorders (eg, anxiety and affective disorders) and dementia have been observed across different countries, including the US.9,43 We expand on prior reports by evaluating the full range of psychiatric conditions and tracking a study population with a wide age span across 30 years. Second, inpatient-hospital records will not capture less severe mental disorder cases treated on an outpatient basis. This is also the case for dementia; however, including pharmaceutical prescriptions in our ascertainment scheme likely helped to capture less severe cases. Further, associations between mental disorders and dementia have been identified using outpatient-treatment records.12,44 Third, our analysis, which relies on nationwide health records, does not include individuals with a mental disorder who do not receive treatment.45,46 Fourth, we tracked associations between mental disorders and dementia over much of the life span. However, we were missing information about later-diagnosed dementias in the youngest individuals and earlier-diagnosed mental disorders in the oldest individuals. Fifth, we accessed public hospital records rather than private hospital records. However, only about 5% of New Zealand hospitalizations occur in private hospitals, most for elective surgical procedures.29 Sixth, results may vary with historical differences in diagnostic practices. However, we observed associations between mental disorders and dementia among individuals born up to 39 years apart.

Conclusions

In this study, mental disorders were associated with the onset of dementia in the population. If associations are causal, ameliorating mental disorders might benefit not only psychiatric health among younger individuals but also cognitive and functional well-being among older individuals.

Back to top
Article Information

Accepted for Publication: December 15, 2021.

Published Online: February 16, 2022. doi:10.1001/jamapsychiatry.2021.4377

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Richmond-Rakerd LS et al. JAMA Psychiatry.

Corresponding Author: Leah S. Richmond-Rakerd, PhD, Department of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI 48109 (leahrr@umich.edu).

Author Contributions: Dr Richmond-Rakerd had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Richmond-Rakerd, D’Souza, Caspi, Moffitt.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Richmond-Rakerd.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Richmond-Rakerd, D’Souza, Milne.

Obtained funding: Richmond-Rakerd, Caspi, Moffitt.

Administrative, technical, or material support: D’Souza, Milne, Caspi.

Conflict of Interest Disclosures: Dr Milne has received grants from the New Zealand Ministry of Business, Innovation and Employment during the conduct of the study. No other disclosures were reported.

Funding/Support: This research was supported by grants AG032282, AG069939, and AG049789 from the National Institute on Aging; grant MR/P005918/1 from the UK Medical Research Council; grant P2C HD065563 from the National Institute of Child Health and Development through the Duke Population Research Center; and grant P30 AG066589 from the National Institute on Aging through the Center for Advancing Sociodemographic and Economic Study of Alzheimer’s Disease and Related Dementias.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: These results are not official statistics. They have been created for research purposes from the Integrated Data Infrastructure, which is carefully managed by Statistics New Zealand. For more information about the Integrated Data Infrastructure, please visit https://www.stats.govt.nz/integrated-data/.

Additional Contributions: We thank Statistics New Zealand and their staff for access to the Integrated Data Infrastructure data and timely ethics review of output data. We thank the Public Policy Institute at the University of Auckland for access to their Statistics New Zealand data laboratory.

Additional Information: The analysis plan for this project was preregistered at https://sites.duke.edu/moffittcaspiprojects/files/2021/07/Richmond-Rakerd_2020.pdf.

References
1.
Global action plan on the public health response to dementia, 2017-2025. World Health Organization. Published 2017. Accessed January 11, 2022. https://apps.who.int/iris/bitstream/handle/10665/259615/9789241513487-eng.pdf?sequence=1
2.
Liang  JH, Lu  L, Li  JY,  et al.  Contributions of modifiable risk factors to dementia incidence: a bayesian network analysis.   J Am Med Dir Assoc. 2020;21(11):1592-1599.e13. doi:10.1016/j.jamda.2020.04.006PubMedGoogle ScholarCrossref
3.
Livingston  G, Huntley  J, Sommerlad  A,  et al.  Dementia prevention, intervention, and care: 2020 report of the Lancet Commission.   Lancet. 2020;396(10248):413-446. doi:10.1016/S0140-6736(20)30367-6PubMedGoogle ScholarCrossref
4.
National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Sciences Policy; Committee on Preventing Dementia and Cognitive Impairment.  Preventing Cognitive Decline and Dementia: a Way Forward. Downey  A, Stroud  C, Landis  S, Leshner  AI, eds. National Academies Press; 2017.
5.
Vos  SJB, van Boxtel  MPJ, Schiepers  OJG,  et al.  Modifiable risk factors for prevention of dementia in midlife, late life and the oldest-old: validation of the LIBRA index.   J Alzheimers Dis. 2017;58(2):537-547. doi:10.3233/JAD-161208PubMedGoogle ScholarCrossref
6.
Baumgart  M, Snyder  HM, Carrillo  MC, Fazio  S, Kim  H, Johns  H.  Summary of the evidence on modifiable risk factors for cognitive decline and dementia: a population-based perspective.   Alzheimers Dement. 2015;11(6):718-726. doi:10.1016/j.jalz.2015.05.016PubMedGoogle ScholarCrossref
7.
Moffitt  TE, Caspi  A.  Psychiatry’s opportunity to prevent the rising burden of age-related disease.   JAMA Psychiatry. 2019;76(5):461-462. doi:10.1001/jamapsychiatry.2019.0037PubMedGoogle ScholarCrossref
8.
Becker  E, Orellana Rios  CL, Lahmann  C, Rücker  G, Bauer  J, Boeker  M.  Anxiety as a risk factor of Alzheimer’s disease and vascular dementia.   Br J Psychiatry. 2018;213(5):654-660. doi:10.1192/bjp.2018.173PubMedGoogle ScholarCrossref
9.
Gimson  A, Schlosser  M, Huntley  JD, Marchant  NL.  Support for midlife anxiety diagnosis as an independent risk factor for dementia: a systematic review.   BMJ Open. 2018;8(4):e019399. doi:10.1136/bmjopen-2017-019399PubMedGoogle Scholar
10.
Cai  L, Huang  J.  Schizophrenia and risk of dementia: a meta-analysis study.   Neuropsychiatr Dis Treat. 2018;14:2047-2055. doi:10.2147/NDT.S172933PubMedGoogle ScholarCrossref
11.
Velosa  J, Delgado  A, Finger  E, Berk  M, Kapczinski  F, de Azevedo Cardoso  T.  Risk of dementia in bipolar disorder and the interplay of lithium: a systematic review and meta-analyses.   Acta Psychiatr Scand. 2020;141(6):510-521. doi:10.1111/acps.13153PubMedGoogle ScholarCrossref
12.
Holmquist  S, Nordström  A, Nordström  P.  The association of depression with subsequent dementia diagnosis: a Swedish nationwide cohort study from 1964 to 2016.   PLOS Med. 2020;17(1):e1003016. doi:10.1371/journal.pmed.1003016Google Scholar
13.
Plana-Ripoll  O, Pedersen  CB, Holtz  Y,  et al.  Exploring comorbidity within mental disorders among a Danish national population.   JAMA Psychiatry. 2019;76(3):259-270. doi:10.1001/jamapsychiatry.2018.3658PubMedGoogle ScholarCrossref
14.
Cooper  B, Holmes  C.  Previous psychiatric history as a risk factor for late-life dementia: a population-based case-control study.   Age Ageing. 1998;27(2):181-188. doi:10.1093/ageing/27.2.181PubMedGoogle ScholarCrossref
15.
Zilkens  RR, Bruce  DG, Duke  J, Spilsbury  K, Semmens  JB.  Severe psychiatric disorders in mid-life and risk of dementia in late life (age 65-84 years): a population based case-control study.   Curr Alzheimer Res. 2014;11(7):681-693. doi:10.2174/1567205011666140812115004PubMedGoogle ScholarCrossref
16.
Kessing  LV, Søndergård  L, Forman  JL, Andersen  PK.  Antidepressants and dementia.   J Affect Disord. 2009;117(1-2):24-29. doi:10.1016/j.jad.2008.11.020PubMedGoogle ScholarCrossref
17.
Leigh-Hunt  N, Bagguley  D, Bash  K,  et al.  An overview of systematic reviews on the public health consequences of social isolation and loneliness.   Public Health. 2017;152:157-171. doi:10.1016/j.puhe.2017.07.035PubMedGoogle ScholarCrossref
18.
Seblova  D, Fischer  M, Fors  S,  et al.  Does prolonged education causally affect dementia risk when adult socioeconomic status is not altered? a Swedish natural experiment in 1.3 million individuals.   Am J Epidemiol. 2021;190(5):817-826. doi:10.1093/aje/kwaa255PubMedGoogle ScholarCrossref
19.
Vermeulen-Smit  E, Ten Have  M, Van Laar  M, De Graaf  R.  Clustering of health risk behaviours and the relationship with mental disorders.   J Affect Disord. 2015;171:111-119. doi:10.1016/j.jad.2014.09.031PubMedGoogle ScholarCrossref
20.
Barnett  JH, Salmond  CH, Jones  PB, Sahakian  BJ.  Cognitive reserve in neuropsychiatry.   Psychol Med. 2006;36(8):1053-1064. doi:10.1017/S0033291706007501PubMedGoogle ScholarCrossref
21.
Bennett  S, Grant  MM, Aldred  S.  Oxidative stress in vascular dementia and Alzheimer’s disease: a common pathology.   J Alzheimers Dis. 2009;17(2):245-257. doi:10.3233/JAD-2009-1041PubMedGoogle ScholarCrossref
22.
Clancy  U, Gilmartin  D, Jochems  ACC, Knox  L, Doubal  FN, Wardlaw  JM.  Neuropsychiatric symptoms associated with cerebral small vessel disease: a systematic review and meta-analysis.   Lancet Psychiatry. 2021;8(3):225-236. doi:10.1016/S2215-0366(20)30431-4PubMedGoogle ScholarCrossref
23.
Lutz  MW, Sprague  D, Barrera  J, Chiba-Falek  O.  Shared genetic etiology underlying Alzheimer’s disease and major depressive disorder.   Transl Psychiatry. 2020;10(1):88. doi:10.1038/s41398-020-0769-yPubMedGoogle ScholarCrossref
24.
Salim  S.  Oxidative stress and psychological disorders.   Curr Neuropharmacol. 2014;12(2):140-147. doi:10.2174/1570159X11666131120230309PubMedGoogle ScholarCrossref
25.
Watson  A, Joyce  E.  Cognitive reserve and neuropsychiatric disorders.   Curr Opin Behav Sci. 2015;4:142-146. doi:10.1016/j.cobeha.2015.05.003Google ScholarCrossref
26.
Milne  BJ, Atkinson  J, Blakely  T,  et al.  Data resource profile: the New Zealand Integrated Data Infrastructure (IDI).   Int J Epidemiol. 2019;48(3):677-677e. doi:10.1093/ije/dyz014PubMedGoogle ScholarCrossref
27.
Stats New Zealand. Integrated data infrastructure. Accessed July 7, 2021. https://www.stats.govt.nz/integrated-data/integrated-data-infrastructure
29.
Baker  MG, Barnard  LT, Kvalsvig  A,  et al.  Increasing incidence of serious infectious diseases and inequalities in New Zealand: a national epidemiological study.   Lancet. 2012;379(9821):1112-1119. doi:10.1016/S0140-6736(11)61780-7PubMedGoogle ScholarCrossref
30.
Richmond-Rakerd  LS, D’Souza  S, Milne  BJ, Caspi  A, Moffitt  TE.  Longitudinal associations of mental disorders with physical diseases and mortality among 2.3 million New Zealand citizens.   JAMA Netw Open. 2021;4(1):e2033448. doi:10.1001/jamanetworkopen.2020.33448PubMedGoogle Scholar
31.
Walesby  KE, Exeter  DJ, Gibb  S, Wood  PC, Starr  JM, Russ  TC.  Prevalence and geographical variation of dementia in New Zealand from 2012 to 2015: brief report utilising routinely collected data within the Integrated Data Infrastructure.   Australas J Ageing. 2020;39(3):297-304. doi:10.1111/ajag.12790PubMedGoogle ScholarCrossref
32.
VanderWeele  TJ, Ding  P.  Sensitivity analysis in observational research: introducing the E-value.   Ann Intern Med. 2017;167(4):268-274. doi:10.7326/M16-2607PubMedGoogle ScholarCrossref
33.
Belloy  ME, Napolioni  V, Greicius  MD.  A quarter century of APOE and Alzheimer’s disease: progress to date and the path forward.   Neuron. 2019;101(5):820-838. doi:10.1016/j.neuron.2019.01.056PubMedGoogle ScholarCrossref
34.
Beurel  E, Toups  M, Nemeroff  CB.  The bidirectional relationship of depression and inflammation: double trouble.   Neuron. 2020;107(2):234-256. doi:10.1016/j.neuron.2020.06.002PubMedGoogle ScholarCrossref
35.
Rehm  J, Hasan  OSM, Black  SE, Shield  KD, Schwarzinger  M.  Alcohol use and dementia: a systematic scoping review.   Alzheimers Res Ther. 2019;11(1):1. doi:10.1186/s13195-018-0453-0PubMedGoogle ScholarCrossref
36.
Harvey  PD, Rosenthal  JB.  Cognitive and functional deficits in people with schizophrenia: evidence for accelerated or exaggerated aging?   Schizophr Res. 2018;196:14-21. doi:10.1016/j.schres.2017.05.009PubMedGoogle ScholarCrossref
37.
Brommelhoff  JA, Gatz  M, Johansson  B, McArdle  JJ, Fratiglioni  L, Pedersen  NL.  Depression as a risk factor or prodromal feature for dementia? findings in a population-based sample of Swedish twins.   Psychol Aging. 2009;24(2):373-384. doi:10.1037/a0015713PubMedGoogle ScholarCrossref
38.
Yang  W, Li  X, Pan  K-Y,  et al.  Association of life-course depression with the risk of dementia in late life: a nationwide twin study.   Alzheimers Dement. 2021;17(8):1383-1390. doi:10.1002/alz.12303Google ScholarCrossref
39.
World Alzheimer Report 2019: attitudes to dementia. Alzheimer's Disease International. Published online September 20, 2019. Accessed July 6, 2021. https://www.alzint.org/resource/world-alzheimer-report-2019/
40.
Musiek  ES, Morris  JC.  Possible consequences of the approval of a disease-modifying therapy for Alzheimer disease.   JAMA Neurol. 2021;78(2):141-142. doi:10.1001/jamaneurol.2020.4478PubMedGoogle ScholarCrossref
41.
Powell  T. What a bad day science had. The Hastings Center. Published June 8, 2021. Accessed July 6, 2021. https://www.thehastingscenter.org/what-a-bad-day-science-had/
42.
Hendriks  S, Peetoom  K, Bakker  C,  et al; Young-Onset Dementia Epidemiology Study Group.  Global prevalence of young-onset dementia: a systematic review and meta-analysis.   JAMA Neurol. 2021;78(9):1080-1090. doi:10.1001/jamaneurol.2021.2161PubMedGoogle ScholarCrossref
43.
da Silva  J, Gonçalves-Pereira  M, Xavier  M, Mukaetova-Ladinska  EB.  Affective disorders and risk of developing dementia: systematic review.   Br J Psychiatry. 2013;202(3):177-186. doi:10.1192/bjp.bp.111.101931PubMedGoogle ScholarCrossref
44.
Ribe  AR, Laursen  TM, Charles  M,  et al.  Long-term risk of dementia in persons with schizophrenia: a Danish population-based cohort study.   JAMA Psychiatry. 2015;72(11):1095-1101. doi:10.1001/jamapsychiatry.2015.1546PubMedGoogle ScholarCrossref
45.
Kohn  R, Saxena  S, Levav  I, Saraceno  B.  The treatment gap in mental health care.   Bull World Health Organ. 2004;82(11):858-866.PubMedGoogle Scholar
46.
Kazdin  AE.  Annual Research Review: expanding mental health services through novel models of intervention delivery.   J Child Psychol Psychiatry. 2019;60(4):455-472. doi:10.1111/jcpp.12937PubMedGoogle ScholarCrossref
×