Literature DB >> 32321678

Risk of Hospitalized Falls and Hip Fractures in 22,103 Older Adults Receiving Mental Health Care vs 161,603 Controls: A Large Cohort Study.

Brendon Stubbs1, Gayan Perara2, Ai Koyanagi3, Nicola Veronese4, Davy Vancampfort5, Joseph Firth6, Katie Sheehan7, Marc De Hert8, Robert Stewart9, Christoph Mueller9.   

Abstract

OBJECTIVES: To investigate the risk of hospitalized fall or hip fracture among older adults using mental health services.
DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Residents of a South London catchment aged >60 years receiving specialist mental health care between 2008 and 2016. MEASURES: Falls and/or a hip fracture leading to hospitalization were ascertained from linked national records. Incidence rates and incidence rate ratios (IRRs) were age- and gender-standardized to the catchment population. Multivariable survival analyses were applied investigating falls and/or hip fractures as outcomes.
RESULTS: In 22,103 older adults, incidence rates were 60.1 per 1000 person-years for hospitalized falls and 13.7 per 1000 person-years for hip fractures, representing standardized IRRs of 2.17 [95% confidence interval (CI) 2.07-2.28] and 4.18 (3.79-4.60), respectively. The IRR for falls was high in those with substance-use disorder [IRR = 6.72 (5.35-8.33)], bipolar disorder [IRR = 3.62 (2.50-5.05)], depression [IRR = 2.28 (2.00-2.59)], and stress-related disorders [IRR = 2.57 (2.10-3.11)]. Hip fractures were increased in all populations (IRR > 2.5), with greatest risk in substance use disorders [IRR = 12.64 (7.22-20.52)], dementia [IRR = 4.38 (3.82-5.00)], and delirium [IRR = 4.03 (3.00-5.29)]. Comparing mental disorder subgroups with each other, after the adjustment for 25 potential confounders, patients with dementia and substance use had a significantly increased risk of falls, and patients with dementia also had an increased risk of hip fractures. CONCLUSION AND IMPLICATIONS: Older people using mental health services have more than double the incidence of falls and 4 times the incidence of hip fractures compared to the general population. Although incidences differ between diagnostic subgroups, all groups have a higher incidence than the general population. Targeted interventions to prevent falls and hip fractures among older adult mental health service users are urgently needed.
Copyright © 2020 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hip fracture; falls dementia; mental illness; schizophrenia; substance use disorder

Mesh:

Year:  2020        PMID: 32321678      PMCID: PMC7723983          DOI: 10.1016/j.jamda.2020.03.005

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


Falls are common in older adults and associated with substantial morbidity, reduced quality of life, substantial health care expenditure, and premature mortality.2, 3, 4 Falls are a leading cause of hip fractures, which are associated with pronounced disability and reduced functional capacity. Research in the general population has suggested that between 27% and 59% of older people transition into permanent long-term care within the first year after a hip fracture., Moreover, hip fractures are associated with increased mortality.9, 10, 11 Unsurprisingly, understanding and preventing falls and hip fractures is a global health priority. Older adults using mental health services are at a particularly increased risk of experiencing falls and hip fractures due to a range of risk factors., For instance, people with late-life cognitive and functional mental disorders have increased risk of physical multi- and comorbidities,15, 16, 17, 18, 19, 20 polypharmacy, use of individual medications (eg, antipsychotic medication, antidepressants), and impaired cognition. Moreover, these populations often have other risk factors such as inadequate nutrition, physical inactivity, impaired physical performance,, and high smoking rates. Previous research has demonstrated that mental health service users including people with dementia, psychotic disorders, bipolar disorder, anxiety- and stress-related disorders, and major depression have increased risk of osteoporosis compared with age- and sex-matched controls and are thus at greater risk of hip fractures., Falls are the leading cause of patient safety incidents reported in older adult mental health services. Despite the aforementioned, minimal representative research has considered and compared which mental disorder groups are at greatest risk. A systematic review identified that people with dementia are at increased risk of falls, but all the sample sizes included fewer than 300 people. Two cohort studies suggested that people with dementia are at increased risk of fractures., Falls risk in late-life psychotic disorders has received very little investigation, although recent cohort studies have suggested that this population is at increased risk of fractures., A recent systematic review suggested that people with depressive symptoms are at increased risk of hip fractures, although relatively few (n = 5) studies included people with confirmed depression. A meta-analysis suggested that people with major depression were at increased risk of future falls, but the sample size was small (n = 965). Minimal information is available on falls and hip fractures in older adults with bipolar disorder, substance use disorder, or anxiety- and stress-related disorders to date. In light of the above, we assembled a cohort study from routine health care data for a catchment population of 1.3 million with the following aims: (1) to compare the incidence of falls and/or hip fractures among older patients with diagnosed mental disorders to that in the general population; and (2) to compare risk of falls and/or hip fracture for diagnostic subgroups to establish if any particular group of mental health conditions was at greatest risk of a hospitalized fall or hip fracture.

Methods

Study Setting and Data Source

A retrospective observational study was conducted using data from the South London and Maudsley NHS Foundation Trust (SLaM) Biomedical Research Centre (BRC) Case Register. SLaM serves a geographic catchment of 4 South London boroughs with a population in excess of 1.3 million residents. The data for the current study were assembled from the Clinical Record Interactive Search (CRIS) resource, which renders a deidentified version of SLaM's routine electronic health record accessible for research projects within a robust and patient-led governance framework. The SLaM BRC Case Register has been described in detail.,,41, 42, 43, 44, 45, 46 Data are currently archived in CRIS on more than 400,000 people with a range of mental disorders and the database has full approval for secondary analysis (Oxford Research Ethics Committee C, reference 18/SC/0372).

Participants

All SLaM patients aged 60 years or older who received a specific diagnosis of a mental or behavioral disorder according to International Classification of Diseases–10th Revision (ICD-10) chapter 5 between January 1, 2008 and December 31, 2016 were included. Dates of diagnosis and ICD-10 code were obtained from a structured field, and the first diagnosis date after the age of 60 years served as the index date for defining both the inclusion criterion and covariates. We categorized these index diagnoses according to the following ICD-10 groups: dementia (F00-F03), delirium (F05), mild cognitive impairment (MCI; F06.7), substance use disorder (F10-F19), psychotic disorder (F20-29), bipolar affective disorder (F30, F31), unipolar depression (F32, F33), any anxiety disorder (F40, F41), or a stress-related disorder (F43.0, F43.2, F43.8, F43.9, an exceptionally stressful life event producing an acute stress reaction or a significant life change leading to continued unpleasant circumstances that result in an adjustment disorder). All remaining diagnoses were grouped in the “other category.” SLaM patient records have been linked with Hospital Episode Statistics (HES), a database of all hospital care received in England, which were available until March 31, 2016 at the time of analysis. From available HES data, we further generated a population control data set for all residents in the catchment area, ascertaining all admissions for falls (W00-W19) and/or hip fractures (S72) for the catchment in the year 2011, and applying 2011 national census data for the over-60s population in this catchment to derive denominators.,

Outcomes

The co-primary outcomes were (1) a fall leading to hospitalization and (2) a hip fracture. Admission due to a fall was classified if an ICD-10 code of W00-19 was recorded as any discharge diagnosis. For hip fractures, we identified hospitalizations that contained the ICD-10 code S72 among the discharge diagnoses. We ascertained all falls and hip fractures occurring within the first 12 months after the index date, and then additionally followed all patients to a censoring point defined as the first of the following: fall or hip fracture, death, or March 31, 2016.

Covariates

Covariates included age, gender, neighborhood deprivation level (based on index of multiple deprivation applied to the lower super output area geographic unit containing the patient's address), ethnicity (white vs nonwhite), and cohabiting status, dichotomized into cohabiting (civil partnership, married, cohabiting) and noncohabiting (single, divorced, civil partnership dissolved, widowed, separated) groups. Mental and physical health, as well as functioning, was determined from the Health of the Nation Outcome Scales. We extracted the following Health of the Nation Outcome Scales subscale scores: (1) overactive or aggressive behavior, (2) nonaccidental self-injury, (3) problem-drinking or drug taking, (4) hallucinations or delusions, (5) depressed mood, (6) physical illness or disability, (7) relationship problems, (8) activities of daily living (ADL) problems, (9) living conditions, and (10) occupational and recreational activity limitations. Scores for each item range from 0 (no problem) to 4 (severe problem). For physical illness we created an ordinal scale (0-1 = no or minor problem; 2 = mild problem; 3-4 = moderate to severe problem) and dichotomized the scores of all other scales into “no or mild problem” (score 0-1) and “problem present” (score 2-4). Lastly, we ascertained the medications from structured medication fields supplemented by natural language processing applications applied to free text. The presence of the following medication groups was extracted for the period of 6 months before and after the index date, including medications for osteoporosis, calcium/vitamin D supplementation, anticholinergics, analgesics, hypnotics (including anxiolytics and benzodiazepines), antihypertensives, antipsychotics, and antidepressants.

Statistical Analysis

We used Stata, version 13, software. First, we ascertained the number of falls or hip fractures in the first year after the initial diagnostic statement in the whole patient cohort and diagnostic subgroups. Age- and gender-standardized incidence rates of these outcomes were calculated in relation to the English Standard Population both for the patient and general population cohorts. We calculated indirectly standardized incidence rate ratios (IRRs) comparing number of outcomes in the patient to the expected number of outcomes in the general population according to 5-year age-gender bands. Second, we compared the 10 diagnostic categories in terms of demographic, symptom, functioning, and medication prescription medication baseline variables. Thereafter, we constructed Cox proportional hazard models comparing each condition to the remainder of the sample with first hospitalized fall or first hospitalized hip fracture as the outcome variable. In total, 31% of patients in our sample had missing data on at least 1 of the covariates. As we judged missingness in this sample to be random, we imputed missing values using chained equations to maximize statistical power. Using the mi package in Stata, we created 5 imputed data sets by replacing missing values through simulated values assembled from potential covariates and outcome values. Rubin's rules were applied to combine coefficients in final analyses.

Results

We extracted data on 22,103 patients aged 60 years with a specific mental disorder diagnosis in the observation period. The mean (SD) age of the sample was 77.0 (9.6) years and 57.3% were female. According to the index diagnosis, 34.6% had dementia (n = 7650), 9.8% delirium (n = 2158), 4.6% MCI (n = 1026), 5.2% substance use disorder (n = 1139), 8.0% psychotic disorder (n = 1777), 2.5% bipolar affective disorder (n = 542), 15.7% unipolar depression (n = 3462), 4.3% anxiety disorder (n = 942), 5.7% stress-related disorder (n = 1257), and 9.7% had another specified mental disorder (n = 2150). Baseline characteristics for the sample are described in Table 1 according to diagnostic groups, including details of medication.
Table 1

Sample Characteristics for the Whole Cohort and by Diagnostic Group

DiagnosesWhole Cohort (n = 22,103)Dementia (n = 7650)Delirium (n = 2158)MCI (n = 1026)Substance Use Disorder (n = 1139)Psychotic Disorder (n = 1777)Bipolar Affective Disorder (n = 542)Unipolar Depression (3462)Anxiety Disorder (n = 942)Stress-Related Disorder (n = 1257)Other (n = 2150)P Value
Sociodemographic status and cognitive function
 Mean age at diagnosis (SD)77.0 (9.6)82.1 (7.6)80.9 (8.3)79.3 (8.3)66.6 (6.0)71.6 (8.1)70.2 (7.8)75.2 (9.4)74.4 (9.1)76.3 (9.3)69.8 (9.3)<.001
 Female gender57.361.554.659.631.758.556.158.867.555.551.1<.001
 Nonwhite ethnicity22.125.716.825.512.340.817.218.511.914.817.9<.001
 Married or cohabiting status32.633.331.334.428.716.735.734.140.932.340.1<.001
 Mean index of deprivation (SD)26.8 (11.7)27.0 (11.5)26.7 (11.8)27.6 (11.1)27.1 (11.5)29.6 (11.1)25.5 (12.2)26.3 (11.9)25.8 (11.9)27.4 (11.8)24.9 (12.3)<.001
HoNOS symptoms or disorders
 Overactive, aggressive behavior21.623.940.06.025.323.728.512.213.910.421.0<.001
 Nonaccidental self-injury4.61.42.20.511.03.62.613.05.410.85.9<.001
 Problem drinking or drug taking5.13.23.63.673.34.65.75.03.85.04.8<.001
 Cognitive problems56.288.776.145.441.924.017.820.611.920.434.3<.001
 Hallucinations or delusions18.113.633.44.913.863.120.18.62.92.920.3<.001
 Depressed mood13.117.713.528.314.025.275.445.352.232.4<.001
HoNOS+ Physical illness or disability score—Comorbidity<.001
 No or minor problem35.341.69.646.140.951.347.830.038.315.336.2
 Mild problem26.427.523.530.627.525.428.523.929.425.427.2
 Moderate-severe problem38.330.966.923.331.623.323.746.132.359.336.6
HoNOS functional problems
 Relationship problem22.118.326.210.334.735.529.521.821.117.333.5<.001
 Activities of daily living problem58.066.976.631.451.941.935.051.339.861.944.0<.001
 Problem with living conditions13.813.614.89.224.420.111.312.910.110.114.7<.001
 Problem with occupational and recreational activities32.132.936.816.837.929.624.137.330.225.629.4<.001
Medication prescription
 Osteoporosis medication3.44.73.34.11.11.72.43.33.42.41.8<.001
 Calcium/vitamin D6.55.912.73.73.66.25.76.66.58.93.7<.001
 Any anticholinergic48.941.255.932.232.171.473.166.158.441.633.6<.001
 Analgesics20.324.022.321.616.517.020.320.315.515.913.8<.001
 Hypnotics18.513.021.06.320.225.041.925.233.114.213.9<.001
 Antihypertensives27.032.226.734.814.626.223.828.525.918.116.1<.001
 Antipsychotics21.114.429.53.37.974.259.417.912.65.016.7<.001
 Antidepressants35.324.429.520.219.621.438.876.561.437.927.0<.001
Hospitalized fall 1 year before index date8.59.915.16.88.73.64.28.05.19.04.2<.001

HoNOS, Health of the Nation Outcome Scales; SD, standard deviation.

Unless otherwise noted, values are percentages.

P value for heterogeneity across diagnostic groups, calculated from chi tests or 1-way analysis of variance.

At or closest to index date.

Ascertained in a window of 1 year around the index date.

Sample Characteristics for the Whole Cohort and by Diagnostic Group HoNOS, Health of the Nation Outcome Scales; SD, standard deviation. Unless otherwise noted, values are percentages. P value for heterogeneity across diagnostic groups, calculated from chi tests or 1-way analysis of variance. At or closest to index date. Ascertained in a window of 1 year around the index date.

Incidence of Hospitalized Falls in the Year After Index Date

In total, 1708 falls occurred in the patient cohort in the year after index date and the age-and-gender-standardized incidence rate was 60.1 [95% confidence interval (CI): 57.3-64.0] falls per 1000 person-years. In the general population cohort of 161,603 people over the age of 60 years in the year 2011, a total number of 3484 falls occurred. The age- and gender-standardized incidence rate was 22.1 (95% CI: 21.4-22.9) falls per 1000 person-years. Comparing the patient and the general population the age- and gender-adjusted IRR for falls was 2.17 (95% CI: 2.07-2.28). Incidence rates and ratios for falls and/or hip fractures according to diagnostic groups are presented in Table 2. People with delirium, substance use, and stress-related disorders had the highest age- and gender-adjusted incidence rates, and people with a psychotic or anxiety disorder the lowest. The highest increase of falls compared with the general population was detected in people with a substance use disorder (IRR: 6.72) and bipolar affective disorder (IRR: 3.62), and the lowest in MCI (IRR: 1.51) and anxiety disorder (IRR: 1.67).
Table 2

Incidence Rates and Ratios by Diagnostic Groups for Hospitalized Falls and/or Hip Fractures

Falls
Hip Fractures
Age- and Gender-Standardized Incidence RateIRR Compared to the General PopulationAge- and Gender-Standardized Incidence RateIRR Compared to the General Population
Dementia (n = 7650)65.1 (54.0-76.8)1.99 (1.85-2.14)16.4 (12.2-21.0)4.38 (3.82-5.00)
Delirium (n = 2158)80.1 (59.4-103.0)2.11 (1.84-2.42)15.5 (7.0-26.1)4.03 (3.00-5.29)
MCI (n = 1026)45.7 (30.9-63.7)1.51 (1.16-1.94)10.9 (4.4-20.8)2.45 (1.30-4.18)
Substance use disorder (n = 1139)76.7 (54.9-102.3)6.72 (5.35-8.33)19.0 (8.7-33.9)12.64 (7.22-20.52)
Psychotic disorder (n = 1777)36.8 (27.6-48.0)1.82 (1.40-2.32)7.9 (4.3-13.4)3.05 (1.67-5.12)
Bipolar affective disorder (n = 542)61.0 (41.8-86.0)3.62 (2.50-5.05)7.58 (3.47-14.37)
Unipolar depression (n = 3462)57.7 (50.1-66.0)2.28 (2.00-2.59)12.2 (8.9-16.3)3.90 (2.91-5.11)
Anxiety disorder (n = 942)38.4 (27.1-52.4)1.67 (1.21-2.24)12.1 (5.9-21.5)3.65 (1.94-6.24)
Stress-related disorder (n = 1257)75.8 (60.5-93.5)2.57 (2.10-3.11)10.1 (5.6-16.6)3.46 (2.05-5.47)
Other (n = 2150)60.0 (48.4-72.4)2.92 (2.39-3.52)10.9 (6.5-17.1)4.47 (2.72-6.90)

Using 5-year age-bands with England Standard Population as reference population.

Using 5-year age-bands and comparing to local general population in Lambeth, Lewisham, Southwark, and Croydon (n = 161,603 people).

Insufficient events.

Incidence Rates and Ratios by Diagnostic Groups for Hospitalized Falls and/or Hip Fractures Using 5-year age-bands with England Standard Population as reference population. Using 5-year age-bands and comparing to local general population in Lambeth, Lewisham, Southwark, and Croydon (n = 161,603 people). Insufficient events.

Incidence of Hospitalized Hip Fractures in the Year After Index Date

In total, 424 hip fractures occurred in the mental health cohort with an age-and-gender-standardized incidence rate of 13.7 (95% CI: 12.3-15.3) hip fractures per 1000 person-years. In the general population, 484 hip fractures occurred in 2011 with an age- and gender-standardized IRR of 2.78 (95% CI: 2.53-3.05) hip fractures per 1000 person-years. Comparing the patient and the general population the age- and gender-adjusted IRR for hip fractures was 4.18 (95% CI: 3.79-4.60). Examining the individual diagnostic groups (see Table 2), the highest age- and gender-standardized incidence rates for hip fractures were found in patients with a substance use disorder or dementia with rates above 15 hip fractures per 1000 person-years, and the lowest in patients with a psychotic disorder with a rate below 10 hip fractures per 1000 person-years. The highest increase of hip fractures compared with the general population was detected in people with a substance use disorder (IRR: 12.62), and the lowest in MCI (IRR: 2.45).

Risk of First Hospitalized Fall by Diagnostic Group

In total, 15.2% (n = 3366) of the patient cohort had at least 1 hospitalized fall in the follow-up period, with a median interval until first fall or other censoring point of 2.1 years (interquartile range 0.7-44). Cox proportional hazard models assessing risk to first fall, comparing those with individual mental health conditions against the remainder of the patient sample, are presented in Table 3.
Table 3

Hazard Ratios (95% CIs) for Falls in Cox Regression Models for the Diagnostic Groups (Comparing Those With and Without the Respective Diagnosis)

Diagnostic GroupAdjustments in Model
UnadjustedAge and GenderAll Demographic FactorsDemographics, Physical Illness, and Previous FallDemographics, Mental Health, and FunctioningDemographics and MedicationsAll Previous
Dementia (n = 7650)1.63 (1.53-1.75)1.10 (1.02-1.18)1.17 (1.09-1.26)1.21 (1.12-1.30)1.10 (1.01-1.21)1.18 (1.10-1.28)1.14 (1.04-1.25)
Delirium (n = 2158)1.41 (1.25-1.59)1.14 (1.01-1.28)1.11 (0.98-1.25)1.03 (0.91-1.16)1.04 (0.93-1.19)1.10 (0.97-1.24)0.99 (0.88-1.13)
MCI (n = 1026)1.02 (0.86-1.20)0.86 (0.73-1.01)0.86 (0.73-1.02)0.89 (0.75-1.05)0.90 (0.76-1.07)0.87 (0.74-1.03)0.91 (0.77-1.08)
Substance use disorder (n = 1139)0.92 (0.79-1.06)1.71 (1.46-2.01)1.52 (1.29-1.78)1.44 (1.23-1.69)1.34 (1.13-1.59)1.52 (1.29-1.78)1.28 (1.08-1.52)
Psychotic disorder (n = 1777)0.57 (0.50-0.66)0.75 (0.65-0.86)0.80 (0.69-0.93)0.82 (0.71-0.95)0.82 (0.71-0.96)0.81 (0.69-0.95)0.87 (0.74-1.02)
Bipolar affective disorder (n = 542)0.74 (0.60-0.93)1.07 (0.85-1.33)1.02 (0.82-1.28)1.04 (0.83-1.30)1.08 (0.86-1.36)1.03 (0.82-1.29)1.10 (0.88-1.38)
Unipolar depression (n = 3462)0.88 (0.80-0.97)0.97 (0.88-1.07)0.94 (0.85-1.03)0.93 (0.84-1.02)1.01 (0.91-1.13)0.90 (0.81-1.00)0.97 (0.87-1.09)
Anxiety disorder (n = 942)0.68 (0.57-0.83)0.76 (0.63-0.91)0.71 (0.59-0.86)0.74 (0.61-0.89)0.78 (0.64-0.94)0.70 (0.58-0.85)0.77 (0.63-0.94)
Stress-related disorder (n = 1257)0.94 (0.80-1.11)1.01 (0.86-1.19)0.96 (0.81-1.13)0.92 (0.78-1.08)1.02 (0.86-1.21)0.95 (0.81-1.12)0.99 (0.83-1.17)

Boldface indicates statistical significance (P < .05).

Hazard Ratios (95% CIs) for Falls in Cox Regression Models for the Diagnostic Groups (Comparing Those With and Without the Respective Diagnosis) Boldface indicates statistical significance (P < .05).

Risk of Hip Fracture by Diagnostic Group

Of the patient cohort, 5.2% (n = 1146) were hospitalized at least once for a hip fracture, with a median follow-up time to first hip fracture or other censoring point of 2.3 years (interquartile range 0.8-4.7). Cox proportional hazard models assessing risk to first hip fracture comparing those with individual mental health conditions against the remainder of the patient sample are presented in Table 4. After further adjustment for mental health, physical and functional difficulties, as well as prescribed medications, a significantly increased hazard remained for patients with dementia [hazard ratio (HR): 1.18], whereas patients with MCI had a lower risk (HR: 0.71).
Table 4

Hazard Ratios (95% CIs) for Hip Fractures in Cox Regression Models for the Diagnostic Groups (Comparing Those With and Without the Respective Diagnosis)

CrudeAge and GenderAll DemographicsDemographics, Physical Illness, and Previous FallDemographics, Mental Health, and FunctioningDemographics and MedicationsAll Previous
Dementia (n = 7650)2.07 (1.84-2.32)1.30 (1.15-1.47)1.41 (1.24-1.59)1.43 (1.26-1.63)1.15 (0.99-1.33) P = .071.44 (1.27-1.64)1.18 (1.01-1.37)
Delirium (n = 2158)1.67 (1.37-2.03)1.31 (1.07-1.59)1.26 (1.04-1.54)1.22 (1.00-1.49)1.10 (0.89-1.35)1.20 (0.99-1.47)1.07 (0.87-1.32)
MCI (n = 1026)0.75 (0.54-1.04)0.62 (0.45-0.87)0.63 (0.45-0.87)0.64 (0.46-0.88)0.69 (0.49-0.96)0.64 (0.46-0.89)0.71 (0.51-0.99)
Substance use disorder (n = 1139)0.73 (0.55-0.97)1.74 (1.30-2.34)1.50 (1.11-2.01)1.46 (1.09-1.97)1.31 (0.95-1.78)1.53 (1.14-2.07)1.32 (0.97-1.81)
Psychotic disorder (n = 1777)0.52 (0.40-0.67)0.70 (0.54-0.91)0.83 (0.64-1.07)0.84 (0.65-1.09)0.89 (0.68-1.18)0.71 (0.54-0.93)0.83 (0.62-1.10)
Bipolar affective disorder (n = 542)0.55 (0.36-0.85)0.86 (0.56-1.33)0.81 (0.52-1.25)0.82 (0.53-1.27)0.89 (0.57-1.37)0.75 (0.48-1.16)0.85 (0.54-1.31)
Unipolar depression (n = 3462)0.74 (0.63-0.88)0.82 (0.69-0.97)0.78 (0.65-0.92)0.77 (0.65-0.91)0.97 (0.80-1.17)0.78 (0.65-0.94)0.95 (0.78-1.16)
Anxiety disorder (n = 942)0.81 (0.60-1.10)0.88 (0.65-1.20)0.81 (0.60-1.09)0.83 (0.61-1.12)1.02 (0.75-1.39)0.83 (0.61-1.13)1.04 (0.76-1.42)
Stress-related disorder (n = 1257)0.88 (0.66-1.18)0.98 (0.73-1.30)0.91 (0.68-1.21)0.89 (0.66-1.19)1.10 (0.82-1.48)0.93 (0.70-1.24)1.13 (0.84-1.52)

Boldface indicates statistical significance (P < .05).

Hazard Ratios (95% CIs) for Hip Fractures in Cox Regression Models for the Diagnostic Groups (Comparing Those With and Without the Respective Diagnosis) Boldface indicates statistical significance (P < .05).

Discussion

To our knowledge, we describe the first representative clinical cohort study to assess the risk of hospitalized falls and hip fractures in older adults using mental health services. For the full cohort of more than 20,000 patients aged 60 years and older using a mental health service, we found incidence rates of 60.1 and 13.7 per 1000 person-years for falls for hip fractures, respectively, and a total 15.2% and 5.2% had a fall leading to hospitalization or hip fracture over median 2.1 and 2.3 years follow-up, respectively. When compared to data on more than 160,000 residents in the catchment population, age- and gender-standardized incidence was twice as high for hospitalized fall and 4 times as high for hip fractures. Although differences existed between the diagnostic subgroups, with incidence of falls more than 12 times as high in substance use disorder and almost 8 times as high in bipolar affective disorder, all 9 diagnostic groups of interest were associated with a higher incidence of fall and/or hip fractures than the general population. In further regression analyses within the patient sample, we found that those with dementia and substance use disorder diagnoses were at an increased risk of both hospitalized fall and hip fracture compared with the remainder of the sample. We found that even in the final model where we adjusted for medications associated with an increased risk of falls and fractures (eg, antidepressants and antipsychotics), the risk of falls and fractures was elevated in the aforementioned groups. To date, the overwhelming majority of research in older adults has focussed on those with cognitive disorders; although this has indicated that people with dementia, delirium, and MCI are at increased risk of self-reported falls, there has been minimal use of representative health care data to investigate the most severe falls that lead to hospitalization in these cohorts. Similarly, although prior research has also suggested that older people with dementia, delirium, and MCI are at increased risk of hip fractures, sample sizes have been limited. Furthermore, our study is, to our knowledge, the first to establish that older people with dementia are at greatest risk of falls (HR 1.14) and hip fractures (HR 1.18) compared with those with other mental and cognitive disorders. Beyond cognitive disorders, our findings suggest that older adults receiving mental health care for substance use disorders are also at particularly high risk of falls leading to hospitalization (IRR 6.72), followed by bipolar disorder (IRR 3.62), stress-related disorders (IRR 2.57), and clinical depression (IRR 2.28). A similar pattern was noted for substantially increased risk of hip fractures in each of these populations. Previous small-scale research relying on self-reported information on falls has suggested that older adults with substance use disorder and particularly alcohol use disorder are at increased risk., Potential reasons underlying these findings include intoxication or withdrawal states, as well as the influence of other key established risk factors for falls such as physical co/multimorbidity,, inadequate nutrition, low physical activity and poor lower limb function, high smoking, and lower compliance with walking aids. Future research is clearly needed to identify and understand risk factors for older adults with substance use disorders for falls so that adequate falls prevention interventions can be developed. To our knowledge, the current study provides the first representative data on falls leading to hospitalization and hip fractures in people with diagnosed bipolar disorder and stress-related disorders. Previous research has suggested that anticonvulsant use may be associated with increased risk of any fracture in older veterans with bipolar disorder. A previous systematic review of 3 studies suggested that bipolar disorder (at any age) was associated with an increased incidence of any fracture vs the general population. Our study advances the field demonstrating the increased risk of falls requiring hospitalization in older adults with bipolar disorder. For stress-related disorders, although previous research has suggested that some cases could arise as a consequence of both a fall and hip fracture and lead to worse outcomes, previous research has also reported that older adults with depressive symptoms, that is, a potentially related group, have an increased risk of hip osteoporosis, self-report falls, and fractures. Our data indicate that people with clinical depression specifically have a 2.2 and 3.9 increased risk of hospitalized falls and hip fractures, respectively. The underlying reasons for the increased risk of falls and hip fractures are likely complex, but include increased physical comorbidity, side effects of common psychotropic medication, vulnerability from lifestyle risk factors (eg, increased smoking, low physical activity, and inadequate diet), potentially diagnostic overshadowing, and difficulty accessing mainstream falls prevention and bone health care pathways. To compound this, current evidence-based guidelines and randomized controlled trials for the prevention of falls and hip fractures typically exclude people with mental and cognitive health conditions., Although there have recently been some concerted efforts to reduce falls and hip fractures and improve their rehabilitation in people with dementia and MCI, those with mental health and substance use disorders remain at risk of being overlooked. Given that older adults with substance use disorders and mental disorders appear at greatly increased risk of both falls and hip fractures, concerted efforts are required to understand and prevent these outcomes and develop better integrated models of care. Although the findings are novel, some important limitations should be noted. First, it was not possible to collect information on all potential confounding factors (eg, pre-fall/hip fracture mobility, balance), which are key risk factors for falls. Second, the study relied only on falls and fractures leading to a hospital admission, which is the most severe end of the spectrum for these outcomes. It is likely that the figures for falls are substantial underestimates of the true risk of falls in older adults with mental disorders. Third, some of the mental disorder groups had relatively small numbers of people, although they were substantially higher than in previous literature.

Conclusions and Implications

Our novel data suggest that older adults using mental health services are at substantially increased risk of falls leading to hospitalization and hip fractures compared with the general population. There is a particularly high risk of falls and hip fractures in those with substance use disorders, bipolar disorder, dementia, MCI, and delirium. Future interventions and care pathways are needed to identify older adults with mental health and cognitive disorders at risk of falls and hip fractures and to prevent these adverse outcomes.
  64 in total

1.  A Meta-Analysis Investigating Falls in Older Adults Taking Selective Serotonin Reuptake Inhibitors Confirms an Association but by No Means Implies Causation.

Authors:  Brendon Stubbs
Journal:  Am J Geriatr Psychiatry       Date:  2015-02-16       Impact factor: 4.105

2.  Functional Outcomes After Hip Fracture in Independent Community-Dwelling Patients.

Authors:  Jennifer A Ouellet; Gregory M Ouellet; Alison M Romegialli; Marilyn Hirsch; Lisa Berardi; Christine M Ramsey; Leo M Cooney; Lisa M Walke
Journal:  J Am Geriatr Soc       Date:  2019-04-09       Impact factor: 5.562

3.  Test-retest reliability and clinical correlates of the Eurofit test battery in people with alcohol use disorders.

Authors:  Davy Vancampfort; Mats Hallgren; Hannelore Vandael; Michel Probst; Brendon Stubbs; Simon Raymaekers; Tine Van Damme
Journal:  Psychiatry Res       Date:  2018-11-23       Impact factor: 3.222

Review 4.  Schizophrenia and the risk of fractures: a systematic review and comparative meta-analysis.

Authors:  Brendon Stubbs; Fiona Gaughran; Alex J Mitchell; Marc De Hert; Ross Farmer; Andrew Soundy; Simon Rosenbaum; Davy Vancampfort
Journal:  Gen Hosp Psychiatry       Date:  2015-01-15       Impact factor: 3.238

5.  Excess mortality or institutionalization after hip fracture: men are at greater risk than women.

Authors:  Marlene Fransen; Mark Woodward; Robyn Norton; Elizabeth Robinson; Meg Butler; A John Campbell
Journal:  J Am Geriatr Soc       Date:  2002-04       Impact factor: 5.562

6.  Predictors of Posttraumatic Stress Symptoms and Association with Fear of Falling After Hip Fracture.

Authors:  Sara L Kornfield; Eric J Lenze; Kerri S Rawson
Journal:  J Am Geriatr Soc       Date:  2017-02-27       Impact factor: 5.562

7.  Early and ultra-early surgery in hip fracture patients improves survival.

Authors:  Chika Edward Uzoigwe; Henry Guy Francis Burnand; Caroline Lois Cheesman; Douglas Osaro Aghedo; Murtuza Faizi; Rory George Middleton
Journal:  Injury       Date:  2012-09-23       Impact factor: 2.586

8.  Developing an Intervention for Fall-Related Injuries in Dementia (DIFRID): an integrated, mixed-methods approach.

Authors:  Alison Wheatley; Claire Bamford; Caroline Shaw; Elizabeth Flynn; Amy Smith; Fiona Beyer; Chris Fox; Robert Barber; Steve W Parry; Denise Howel; Tara Homer; Louise Robinson; Louise M Allan
Journal:  BMC Geriatr       Date:  2019-02-28       Impact factor: 3.921

Review 9.  Lower Bone Mineral Density at the Hip and Lumbar Spine in People with Psychosis Versus Controls: a Comprehensive Review and Skeletal Site-Specific Meta-analysis.

Authors:  Lucia Gomez; Brendon Stubbs; Ayala Shirazi; Davy Vancampfort; Fiona Gaughran; John Lally
Journal:  Curr Osteoporos Rep       Date:  2016-12       Impact factor: 5.096

10.  Hospitalisation of people with dementia: evidence from English electronic health records from 2008 to 2016.

Authors:  Andrew Sommerlad; Gayan Perera; Christoph Mueller; Archana Singh-Manoux; Glyn Lewis; Robert Stewart; Gill Livingston
Journal:  Eur J Epidemiol       Date:  2019-01-16       Impact factor: 8.082

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Review 1.  Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature.

Authors:  Brian J Douthit; Rachel L Walden; Kenrick Cato; Cynthia P Coviak; Christopher Cruz; Fabio D'Agostino; Thompson Forbes; Grace Gao; Theresa A Kapetanovic; Mikyoung A Lee; Lisiane Pruinelli; Mary A Schultz; Ann Wieben; Alvin D Jeffery
Journal:  Appl Clin Inform       Date:  2022-02-09       Impact factor: 2.342

2.  Incidence of potentially disruptive medical and social events in older adults with and without dementia.

Authors:  Lauren J Hunt; R Sean Morrison; Siqi Gan; Edie Espejo; Katherine A Ornstein; W John Boscardin; Alexander K Smith
Journal:  J Am Geriatr Soc       Date:  2022-02-05       Impact factor: 7.538

3.  Prospective association between depressive symptoms and hip fracture and fall among middle-aged and older Chinese individuals.

Authors:  Chunsu Zhu; Hongyu Yu; Zhiwei Lian; Jianmin Wang
Journal:  BMC Psychiatry       Date:  2022-04-12       Impact factor: 3.630

4.  Mental health of orthopaedic trauma patients during the 2020 COVID-19 pandemic.

Authors:  Erin Ohliger; Erica Umpierrez; Lauren Buehler; Andrew W Ohliger; Steven Magister; Heather Vallier; Adam G Hirschfeld
Journal:  Int Orthop       Date:  2020-07-16       Impact factor: 3.075

  4 in total

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