Abstract
Background:
Individuals with cerebral palsy (CP) have increased risk for secondary chronic conditions during childhood, including mental health disorders; yet, little is known about how these disorders affect adults with CP.
Objective:
To determine the prevalence of mental health disorders among adults with CP, compared to adults without CP.
Design:
Cross-sectional.
Setting:
2016 Optum Clinformatics® Data Mart.
Patients:
8.7 million adults (including 7,348 adults with CP).
Measurements:
Other neurodevelopmental comorbid conditions (intellectual disabilities, autism spectrum disorders, epilepsy) and 37 mental health disorders (as 6 categories) were identified based on diagnosis codes. Direct age-standardized prevalence of mental health disorder categories was estimated by sex for patients with CP alone, patients with CP and neurodevelopmental disorders, and patients without CP.
Results:
Male patients with CP alone had higher age-standardized prevalence compared to male patients without CP for schizophrenic disorders (2.8% [95%CI: 2.2%, 3.4%] vs. 0.7%), mood affective disorders (19.5% [95%CI: 18.0%, 21.0%] vs. 8.1%), anxiety disorders (19.5% [95%CI: 18.0%, 21.0%] vs. 11.1%), disorders of adult personality/behavior (1.2% [95%CI: 0.8%, 1.6%] vs. 0.3%), and alcohol and/or opioid related disorders (4.7% [95%CI: 3.9%, 5.5%] vs. 3.0%). The same pattern was observed for females. Male and female patients with CP and neurodevelopmental disorders had similar or higher age-standardized prevalence of the 6 mental health disorder categories compared to male and female patients with CP alone, except for the lower prevalence of alcohol and/or opioid related disorders for male patients.
Limitations:
Single claims code was used to define cohort of interest. Severity of CP was not available.
Conclusion:
Adults with CP have an elevated prevalence of mental health disorders compared to adults without CP, which may be more pronounced for some mental health disorders among patients with comorbid neurodevelopmental disorders.
Introduction
Cerebral palsy (CP) is the most common physical disability of childhood (1), and represents a heterogeneous group of movement disorders with a range of motor impairment severities. CP is associated with several developmental comorbidities (e.g., communication impairment) and always involves the potential for restriction in activities of daily living. The adult CP population is expanding due to increased survival rates (2) and stable or marginally increased global prevalence of the condition (3) over recent decades. Children and adolescents with CP experience an array of health-and function-related problems affecting neuromuscular (4), musculoskeletal (5, 6), and other physiologic systems (7); these health and functional problems may increase in severity as they transition into and throughout adulthood (8–11). Consequently, individuals with CP are at increased risk of developing chronic, noncommunicable diseases at younger ages and in more severe forms as compared to the general population (9, 10, 12, 13). Despite being considered a neurological syndrome caused by a non-progressive brain injury or malformation, the hallmark features of CP represent a highly progressive phenotype of “early aging” (14–16).
Mental health disorders are among the leading contributors to the overall global and national burden of disease in children, adolescents, and adults (17, 18). Mental health disorders that arise during childhood can impede healthful transition into adulthood (19), and are associated with adverse health outcomes as adults (19, 20). To date, there is a general lack of clinical awareness and resources for mental health disorders for individuals with CP. Nevertheless, recent work suggests that children (21, 22) and adults (23–25) with CP may have a higher risk for mental health disorders compared to individuals without CP. However, these studies were performed outside of the U.S., had small samples sizes, and in most cases, used questionnaires not designed for individuals with disabilities. Therefore, there is a need to describe the prevalence of physician-diagnosed mental health disorders in a broader sample of individuals with CP. Notably, the association between CP and mental health disorders may be influenced by comorbid neurodevelopmental conditions. The prevalence of intellectual disabilities, autism spectrum disorders, and epilepsy among individuals with CP has been reported as 45% (26), 6.9%, and 41% (27), respectively, and these conditions are themselves associated with mental health disorders (28–30).
Thus, the primary objective of this study was to determine the prevalence of mental health disorders among patients with CP alone, patients with CP and neurodevelopmental disorders, and patients without CP. We hypothesized that patients with CP will have a higher prevalence of all mental health disorders compared to patients without CP, which would be more pronounced among patients with comorbid neurodevelopmental disorders.
Methods
Data source
The Clinformatics® Data Mart Database (OptumInsight™, Eden Prairie, MN, USA) is a nationwide, de-identified insurance claims database of 79 million beneficiaries from a single private payer from 2001 to 2017. This administrative database contains information about all beneficiaries with both medical and pharmacy coverage. All inpatient and outpatient services, emergency room visits, and outpatient pharmacy prescription fills are included in this dataset throughout their enrollment. The University of Michigan Institutional Review Board approved this study as exempt.
Sample selection
The study period for this analysis was January 1 to December 31, 2016. All individuals 18 years of age and older that had 12 months of continuous enrollment in 2016 were potentially eligible for this analysis. Individuals were excluded if they did not have an inpatient, outpatient, or emergency room visit reporting a diagnostic code while enrolled in 2016 to eliminate risk of bias as we were unable to identify any diagnoses. Individuals were excluded if they had missing data on sex since the results are stratified by sex. This analysis used inpatient, outpatient, and emergency room visits, but not pharmacy claims, to identify eligible participants and diagnoses.
Identification of Patients with Cerebral Palsy, Neurodevelopment Disorders, and Mental Health Disorders
The diagnosis of CP was identified based on a single encounter (i.e., inpatient, outpatient, or emergency room visit) that included one of the pertinent International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10) codes for CP (in any position) (see Appendix 1 for list of codes). Neurodevelopmental disorders were identified based on a single encounter (i.e., inpatient, outpatient, or emergency room visit) that used one of the pertinent ICD-10 codes (in any position) for intellectual disabilities, autism spectrum disorders, or epilepsy. We created a binary variable to indicate the presence or absence of neurodevelopmental conditions in all patients. Thus, the final sample was categorized as patients with CP alone, patients with CP and neurodevelopmental disorders, and patients without CP.
Mental Health Disorders
Physician-diagnosed mental health disorders were also identified based on a single encounter (i.e., inpatient, outpatient, or emergency room visit) that included at least one of pertinent ICD-10 codes (in any position) (see Appendix 1 for list). The 37 mental health conditions and their variations (e.g., severity, episodic/recurrent, unspecified) on this list of codes were grouped into six categories: (1) schizophrenia, schizotypal, delusional, and other non-mood psychotic disorders (8 disorders); (2) mood affective disorders (6 disorders); (3) anxiety, dissociative, stress-related, somatoform, and other nonpsychotic mental disorders (7 disorders); (4) behavioral syndromes associated with physiological disturbances and physical factors (e.g., eating disorders, puerperal psychosis; 7 disorders); (5) disorders of adult personality and behavior (7 disorders); and (6) alcohol or opioid related disorders (2 disorders).
Statistical analysis
Sociodemographic variables included age, sex, ethnic group, education level, and household annual income. We performed direct age-standardization for females and males for each of the six mental health disorder categories for each group (i.e., CP alone, CP and neurodevelopmental disorders, without CP), using the 2016 U.S. adult population as a standard population. We used the U.S. Census Bureau table on age and sex composition in the United States for 2016 (31) with eighteen 5-year age brackets. In order to make use of this table, it was assumed that age was evenly distributed within the 15–19 year age bracket. Therefore, since 6.8% of U.S. males were 15–19 years old, it was assumed that 2.72% males were 18–19 years old (6.8% × (2/5)). Similarly, since 6.3% of U.S. females were 15–19, it was assumed that 2.64% females were 18–19 years old (6.6% × (2/5)).
Direct age-standardization method was applied (32). Age specific outcome prevalence was estimated using the study population. The study population prevalence rates were then applied to the 2016 U.S. adult population by age brackets. This procedure was repeated for each group (i.e., CP alone, CP and neurodevelopmental disorders, without CP). We calculated 95% binomial confidence intervals for the prevalence estimates as the sample proportion plus and minus the margin of error using a z-value of 1.96.
In addition to the primary analyses, we performed a sensitivity analysis to determine age-standardized prevalence estimates of mental health disorders, but with the requirement of including only those with at least two claims during the enrollment year for each mental health disorder category. All variables were summarized as mean (SD) or percentage. All analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA).
Role of the Funding Source
The funders had no role in the design of the study; management, analysis, or interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.
Results
Of the 10.3 million adults with 12 months of continuous enrollment in 2016, 1.6 million members (15.1%) were excluded because they did not have an inpatient, outpatient, or emergency room visit while enrolled in 2016. Another 991 (<0.01%) individuals were excluded because of missing data on sex. The final sample comprised 8.7 million individuals. Overall, the prevalence of CP was 0.84 per 1,000 for the entire sample. The prevalence of neurodevelopmental comorbidities among the entire sample for adults with vs. without CP was 13.5% (95%CI: 12.7, 14.3) vs. 0.1% for intellectual disabilities, 2.3% (95%CI: 2.0, 2.7) vs. 0.1% for autism spectrum disorders, and 24.3% (95% CI: 23.3, 25.3) vs. 1.1% for epilepsy, respectively. Descriptive characteristics of patients with CP alone (n=5,052), patients with CP and neurodevelopmental disorders (n=2,296), and patients without CP (n=8.7 million) are presented in Table 1.
Table 1.
Descriptive characteristics of study participants.
CP alone | CP + ND disorder | Without CP | |
---|---|---|---|
| |||
Sample size, n | 5,052 | 2,296 | 8,732,455 |
Age, mean (SD) | 52.5 (18.0) | 43.9 (17.1) | 55.2 (18.6) |
Sex, % | |||
Female | 49.6 | 48.2 | 55.3 |
Male | 50.4 | 51.8 | 44.7 |
Ethnicity, % | |||
White | 57.2 | 56.7 | 55.9 |
Black | 11.6 | 11.8 | 8.0 |
Hispanic | 7.8 | 9.4 | 9.0 |
Asian | 1.6 | 2.1 | 3.8 |
Unknown/missing | 21.9 | 20.1 | 23.3 |
Education, % | |||
Less than high school | 0.5 | 0.5 | 0.5 |
High school diploma | 32.0 | 32.4 | 25.3 |
More than high school | 62.8 | 63.1 | 69.6 |
Unknown/missing | 4.8 | 4.1 | 4.6 |
Household annual income, % | |||
<$40K | 26.0 | 21.6 | 16.8 |
$40K to 59.9K | 12.1 | 10.2 | 11.7 |
$60K to 99.9K | 17.2 | 14.1 | 21.4 |
≥$100K | 16.7 | 17.8 | 28.2 |
Unknown/missing | 28.0 | 36.3 | 22.0 |
Comorbidities, % | |||
Intellectual disabilities | 0.0 | 43.2 | 0.1 |
Autism spectrum disorders | 0.0 | 7.3 | 0.1 |
Epilepsy | 0.0 | 77.8 | 1.1 |
CP, cerebral palsy; ND, neurodevelopmental; SD, standard deviation.
Age-standardized prevalence of mental health disorder categories stratified by group and sex is presented in Table 2. Female and male patients with CP had higher prevalence of all mental health disorder categories (e.g., anxiety disorders: female 28.6% [95%CI: 26.8, 30.4] vs. 18.0%; men 19.5% [95%CI: 18.0, 21.0] vs. 11.1%) compared to patients without CP, except for behavioral syndromes associated with physiological disturbances and physical factors (female: 2.0% [95%CI: 1.5, 2.5] vs. 1.8%; men: 2.1% [95%CI: 1.5, 2.7] vs. 1.7%). Female and male patients with CP and neurodevelopmental disorders had similar or higher prevalence of all mental health disorder categories compared to patients with CP alone (e.g., schizophrenic disorders: female 7.3% [95%CI: 5.8, 8.8] vs. 3.2% [95%CI: 2.5, 3.9]; men 6.5% [95%CI: 5.1, 7.9] vs. 2.8% [95%CI: 2.2, 3.4]), except for the lower prevalence of alcohol and/or opioid related disorders for male patients (2.4% [95%CI: 1.5, 3.3] vs. 4.7% [95%CI: 3.9, 5.5]).
Table 2.
Age-standardized prevalence of mental health disorder categories for study participants.
Females | Males | |||||
---|---|---|---|---|---|---|
|
||||||
CP alone | CP + ND disorder | Without CP | CP alone | CP + ND disorder | Without CP | |
|
||||||
% (95% CI) | % (95% CI) | % | % (95% CI) | % (95% CI) | % | |
| ||||||
Schizophrenia, schizotypal disorder, delusional, and other non-mood psychotic disorders | 3.2 (2.5, 3.9) | 7.3 (5.8, 8.8) | 0.6 | 2.8 (2.2, 3.4) | 6.5 (5.1, 7.9) | 0.7 |
Mood affective disorders | 28.6 (26.8, 30.4) | 28.8 (26.1, 31.5) | 14.3 | 19.5 (18.0, 21.0) | 23.3 (20.9, 25.7) | 8.1 |
Anxiety, dissociative, stress-related, somatoform and other nonpsychotic mental disorders | 28.6 (26.8, 30.4) | 29.6 (26.9, 32.3) | 18.0 | 19.5 (18.0, 21.0) | 21.7 (19.4, 24.0) | 11.1 |
Behavioral syndromes associated with physiological disturbances and physical factors | 2.0 (1.5, 2.5) | 1.7 (0.9, 2.5) | 1.8 | 2.1 (1.5, 2.7) | 2.1 (1.3, 2.9) | 1.7 |
Disorders of adult personality and behavior | 1.2 (0.8, 1.6) | 4.4 (3.2, 5.6) | 0.4 | 1.2 (0.8, 1.6) | 4.1 (3.0, 5.2) | 0.3 |
Alcohol and/or opioid related disorders | 2.8 (2.2, 3.4) | 2.2 (1.3, 3.1) | 1.8 | 4.7 (3.9, 5.5) | 2.4 (1.5, 3.3) | 3.0 |
CP, cerebral palsy; ND, neurodevelopmental; CI, confidence interval.
The results of the sensitivity analysis requiring two or more claims on different days for each mental health disorder category are presented in Appendix Table 2. Interpretations were largely unchanged. Briefly, female and male patients with CP had higher prevalence of all mental health disorder categories (e.g., mood effective disorders: female 20.6% [95%CI: 19.0, 22.2] vs. 9.1%; men 13.1% [95%CI: 11.8, 14.4] vs. 5.2%) compared to patients without CP, except again for behavioral syndromes associated with physiological disturbances and physical factors (female: 1.2% [95%CI: 0.8, 1.6] vs. 0.8%; men: 0.6% [95%CI: 0.3, 0.9] vs. 0.6%), as well as alcohol and/or opioid related disorders for females (1.5% [95%CI: 1.0, 2.0] vs. 1.0%). Female and male patients with CP and neurodevelopmental disorders had similar or higher prevalence of all mental health disorder categories compared to patients with CP alone.
Conclusions
We found a higher prevalence of a variety of mental health disorders among adults with CP compared to adults without CP. The prevalence of several mental health disorder categories was also higher among patients with CP who also had comorbid neurodevelopmental disorders, except for alcohol and/or opioid related disorders among male patients. This is a critical finding, because mental health disorders are a primary contributor to the burden of disease in adults (17) and children (18) in general, and can be prevented or treated if adequate clinical screening is established.
Noncommunicable diseases and multimorbidity are increasingly burdensome with the expansion of the aging population. In the U.S., care coordination and healthcare access are woefully insufficient in meeting the complex healthcare needs of individuals with pediatric-onset disabilities (including CP) across the lifespan (33–36). This can lead to missed opportunities to properly diagnose and treat preventable noncommunicable diseases, such as mental health disorders. Even prior to the 4th decade of life, young adults with CP exhibit a higher prevalence of chronic diseases and a multimorbidity profile that is more than four times higher than adults without CP (10). Further, this morbidity profile (10, 12) gets worse with older age (9).
To date, there is a paucity of information pertaining to prevalence estimates of mental health disorders among individuals with CP. A few studies have recently addressed this gap in the literature by showing that children, adolescents (21, 22), and adults (23–25) with CP have higher prevalence of mental health disorders or symptoms of mental health disorders compared to the general population. However, most of these findings were derived using instruments (e.g., surveys, questionnaires) rather than medical diagnoses (e.g., ICD-10 codes). Since the instruments used were not designed for use among individuals with disabilities, the results may be more reflective of the general problems experienced by this population, rather than actual mental health conditions (21). For example, problems with sleep, pain, and other symptoms of CP, as well as medication side effects, may increase symptomatology of adverse mental health functioning; although, mental health disorders may also lead to problems with sleep and exacerbate pain. Nevertheless, individuals with CP are at a heightened risk for developing mental health disorders due to a variety of factors that may be directly associated with CP (e.g., communication impairment), or as a resulting sequela of their condition (e.g., morbidity profile, pain, low fitness levels). Ultimately, these factors may independently or synergistically impair physical, emotional, social, and mental functioning and participation throughout the lifespan in this population.
Comorbid neurodevelopmental conditions, such as intellectual disabilities, autism spectrum disorders, and epilepsy may be associated with the development of mental health disorders among the CP population. This is because these conditions are each associated with a higher prevalence of mental health disorders (28–30), due to a variety of physical and social factors affecting independence, social integration, and transition towards adulthood (28, 37–41). A recent study of over 3,000 individuals with CP found that comorbid neurodevelopmental conditions were associated with an overall greater medical complexity (26). In the current study, we accounted for neurodevelopmental disorders by stratifying the CP group by the presence of these conditions. We found that adults with CP alone had higher prevalence of many mental health disorder categories that were medically diagnosed, compared to a representative-sample of adults without CP. We also found that comorbidity of neurodevelopmental disorders was associated with a similar or elevated prevalence of mental health disorders, except for alcohol and/or opioid related disorders among male patients.
A major strength of this study is the large sample of adults with CP. It can be challenging to gather data on clinical sub-populations, and very little is known about health outcomes among individuals with CP as they age into and throughout their adult years. Another strength of this study is the number of mental health disorders that were investigated. Our comprehensive assessment of medically-diagnosed mental health disorder profiles among individuals with CP throughout the adult lifespan may prompt the development of improved screening strategies and identification of at-risk individuals for mental health disorders.
Our study also has several limitations that should be acknowledged. First, the overall sample may represent a healthier segment of the U.S. population, as evidenced by the low prevalence of neurodevelopmental comorbidities among the CP and non-CP samples. Further, the sample with CP may not be entirely representative of the U.S. population of adults with CP, as further evidenced by a lower than expected prevalence. We were unable to determine the severity of CP through claims-based data. However, we suspect that our sample may be more reflective of a healthier segment of the CP population (42), because they had to be enrolled in private insurance, either by purchasing their own insurance, or by being covered through employment or marriage to someone who had private insurance. Individuals with more severe forms of CP may be more likely to be on federally-subsidized health insurance, Medicare, or Medicaid state-sponsored programs. Therefore, results and comparisons to adults without CP are likely conservative estimates, and the true extent of mental health disorder prevalence may be underestimated in this study. Second, administrative claims data may be prone to inaccurate coding of medical diagnoses, such as CP or mental health disorders, and we used a single claim to identify beneficiaries with CP, neurodevelopmental disorders, or mental health disorders, which may have an effect on our prevalence estimates. While validation studies have shown that using >1 claim for a medical condition improves the ability to identify beneficiaries with that medical condition (43, 44), single claim-based algorithms have been reported to have moderate-to-high positive predictive value (~80%) or specificity (up to 96%) (43, 45, 46); however, the accuracy of identifying medical conditions using claims data depends on the number of years for the study period (45) and the medical condition examined (43, 45–47). To address this concern, we performed a sensitivity analysis which required two different claims during the enrollment year for each mental health disorder, and although the prevalence estimates were reduced for both adults with and without CP, the magnitude of difference between groups and interpretations remained largely unchanged. Moreover, our definition for mental health conditions did not include medication data, which might have also helped to reduce the possibility of “rule out” diagnoses. Finally, we were unable to determine or account for the pathological etiologies of the CP diagnoses (e.g., extent of white matter damage). It is possible that the extent, severity, and compensatory mechanisms for recovery from the initial brain damage leading to CP, and the resulting aging sequela of the central nervous damage, may interfere with mental health processing and development. Future studies are needed to disentangle the pathological features of CP with the development of mental health disorders in this population.
In conclusion, adults with CP have an elevated age-adjusted prevalence of a variety of mental health disorders compared to the general adult population of privately insured beneficiaries without CP. These findings were more pronounced in cases where neurodevelopmental disorders were comorbid with CP. Individuals with CP frequently utilize healthcare services as part of their routine clinical care. Therefore, increasing clinical awareness of the mental health disorders and risks among adults with CP, improving clinical screening strategies, and developing efficient referral resources for mental health care services may help reduce the burden of mental health disorders in this population.
Acknowledgments:
The authors would like to acknowledge Dr. Kevin Dombkowski for his expertise and guidance throughout this work.
Funding source:
This research was developed in part under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR #90RTHF0001–01–00).
Appendix Table 1. Diagnostic codes for all conditions and mental health disorders using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10) codes.
GROUP | ICD-10 codes |
---|---|
Cerebral palsy | G80.0–.4 G80.8 G80.9 |
NEURODEVELOPMENTAL COMORBIDITIES | |
Intellectual disabilities | F70–73 F78 F79 |
Autism spectrum disorders | F84.0 F84.3 F84.5 F84.8 F84.9 |
Epilepsy | G40.001 G40.009 G40.011 G40.019 G40.101 G40.109 G40.111 G40.119 G40.201 G40.209 G40.211 G40.219 G40.301 G40.309 G40.311 G40.319 G40.A01 G40.A09 G40.A11 G40.A19 G40.B01 G40.B09 G40.B11 G40.B19 G40.401 G40.409 G40.411 G40.419 G40.501 G40.509 G40.801–.804 G40.811–.814 G40.821–.824 G40.89 G40.901 G40.909 G40.911 G40.919 |
OUTCOME MEASURES | |
“Schizophrenia, schizotypal disorder, delusional, and other non-mood psychotic disorders” | |
Schizophrenia | F20.0–.3 F20.5 F20.81 F20.89 F20.9 |
Schizotypal disorder | F21 |
Delusional disorder | F22 |
Brief psychotic disorder | F23 |
Shared psychotic disorder | F24 |
Schizoaffective disorders | F25.0 F25.1 F25.8 F25.9 |
Other psychotic disorder not due to a substance or known physiological condition | F28 |
Unspecified psychosis not due to a substance or known physiological condition | F29 |
“Mood affective disorders” | |
Manic episode | F30.1–.4 F30.10–.13 F30.8 F30.9 |
Bipolar disorder | F31.0 F31.10–.13 F31.2 F31.30–.32 F31.4–.5 F31.60–.64 F31.70–.78 F31.81 F31.89 F31.9 |
Major depressive disorder, single episode | F32.0–.5 F32.81 F32.89 F32.9 |
Major depressive disorder, recurrent | F33.0–.3 F33.40–.42 F33.8 F33.9 |
Persistent mood [affective] disorders | F34.0 F34.1 F34.81 F34.89 F34.9 |
Unspecified mood [affective] disorders | F39 |
“Anxiety, dissociative, stress-related, somatoform and other nonpsychotic mental disorders” | |
Phobic anxiety disorders | F40.00–.02 F40.10 F40.11 F40.210 F40.218 F40.220 F40.228 F40.230–.233 F40.240–.243 F40.248 F40.290 F40.291 F40.298 F40.8 F40.9 |
Other anxiety disorders | F41.0 F41.1 F41.3 F41.8 F41.9 |
Obsessive-compulsive disorder | F42.2–.4 F42.8 F42.9 |
Reaction to severe stress, and adjustment disorders | F43.0 F43.10–.12 F43.20–.25 F43.29 F43.8 F43.9 |
Dissociative and conversion disorders | F44.0–.2 F44.4–.8 F44.81 F44.89 F44.9 |
Somatoform disorders | F45.0 F45.1 F45.20–.22 F45.29 F45.41 F45.42 F45.8 F45.9 |
Other nonpsychotic mental disorders | F48.1 F48.2 F48.8 F48.9 |
“Behavioral syndromes associated with physiological disturbances and physical factors” | |
Eating disorders | F50.00–.02 F50.2 F50.81 F50.82 F50.89 F50.9 |
Sleep disorders not due to a substance or known physiological condition | F51.01–.05 F51.09 F51.11–.13 F51.19 F51.3–.5 F51.8 F51.9 |
Sexual dysfunction not due to a substance or known physiological condition | F52.1 F52.21 F52.22 F52.31 F52.32 F52.4–.6 F52.8 F52.9 |
Puerperal psychosis | F53 |
Psychological and behavioral factors associated with disorders or disease classified elsewhere | F54 |
Abuse of non-psychoactive substances | F55.0–.4 F55.8 |
Unspecified behavioral syndrome associated with physiological disturbances and physical factors | F59 |
“Disorders of adults personality and behavior” | |
Specific personality disorders | F60.0–.7 F60.81 F60.89 F60.9 |
Impulse disorders | F63.0–.3 F63.81 F63.89 F63.9 |
Gender identity disorders | F64.0–.2 F64.8 F64.9 |
Other disorders of adults personality and behavior | F68.8 |
Unspecified disorder of adults personality and behavior | F69 |
“Alcohol or opioid related disorders” | |
Alcohol related disorders | F10.10 F10.11 F10.120 F10.121 F10.129 F10.14 F10.150 F10.151 F10.159 F10.180–.182 F10.188 F10.19 F10.20 F10.21 F10.220 F10.221 F10.229 F10.230–.232 F10.239 F10.24 F10.250 F10.251 F10.259 F10.26 F10.27 F10.280–.282 F10.288 F10.29 F10.920 F10.921 F10.929 F10.94 F10.950 F10.951 F10.959 F10.96 F10.97 F10.980–.982 F10.988 F10.99 |
Opioid related disorders | F11.10 F11.11 F11.120–.122 F11.129 F11.14 F11.150 F11.151 F11.159 F11.181 F11.182 F11.188 F11.19 F11.20 F11.21 F11.220–.222 F11.229 F11.23 F11.24 F11.250 F11.251 F11.259 F11.281 F11.282 F11.288 F11.29 F11.90 F11.920–.922 F11.929 F11.93 F11.94 F11.950 F11.951 F11.959 F11.981 F11.982 F11.988 F11.99 |
Appendix Table 2. Age-standardized prevalence of mental health disorder categories for study participants. Mental health disorder categories were identified by at least two claims on different days.
Females | Males | |||||
---|---|---|---|---|---|---|
|
||||||
CP alone | CP + ND disorder | Without CP | CP alone | CP + ND disorder | Without CP | |
|
||||||
% (95% CI) | % (95% CI) | % | % (95% CI) | % (95% CI) | % | |
| ||||||
Schizophrenia, schizotypal disorder, delusional, and other non-mood psychotic disorders | 2.3 (1.7, 2.9) | 4.8 (3.5, 6.1) | 0.4 | 2.1 (1.5, 2.7) | 4.0 (2.9, 5.1) | 0.5 |
Mood affective disorders | 20.6 (19.0, 22.2) | 23.6 (21.1, 26.1) | 9.1 | 13.1 (11.8, 14.4) | 18.1 (15.9, 20.3) | 5.2 |
Anxiety, dissociative, stress-related, somatoform and other nonpsychotic mental disorders | 19.2 (17.7, 20.7) | 21.2 (18.8, 23.6) | 11.0 | 13.4 (12.1, 14.7) | 15.5 (13.4, 17.6) | 6.7 |
Behavioral syndromes associated with physiological disturbances and physical factors | 1.2 (0.8, 1.6) | 1.3 (0.6, 2.0) | 0.8 | 0.6 (0.3, 0.9) | 0.6 (0.2, 1.0) | 0.6 |
Disorders of adult personality and behavior | 0.7 (0.4, 1.0) | 2.7 (1.7, 3.7) | 0.2 | 0.7 (0.4, 1.0) | 2.7 (1.8, 3.6) | 0.2 |
Alcohol and/or opioid related disorders | 1.5 (1.0, 2.0) | 1.2 (0.6, 1.8) | 1.0 | 2.9 (2.2, 3.6) | 1.8 (1.0, 2.6) | 1.8 |
CP, cerebral palsy; ND, neurodevelopmental; CI, confidence interval.
Footnotes
Protocol: not available
Statistical Code: Available to interested readers by contacting Dr. Peterson at mdpeterz@umich.edu
Data: not available
References
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