An Intellectual Disability That Occurs as a Result of Lifestyle in Certain Family Groups Is Called

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Multiple concrete and mental health comorbidity in adults with intellectual disabilities: population-based cross-exclusive analysis

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Abstract

Background

Adults with intellectual disabilities have increased early mortality compared with the general population. However, their extent of multimorbidity (ii or more additional conditions) compared with the general population is unknown, particularly with regards to physical ill-health, as are associations between comorbidities, neighbourhood deprivation, and age.

Methods

Nosotros analysed primary health-intendance information on 1,424,378 adults registered with 314 representative Scottish practices. Data on intellectual disabilities, 32 physical, and half dozen mental health conditions were extracted. We generated standardised prevalence rates by historic period-groups, gender, and neighbourhood deprivation, and so calculated odds ratio (OR) and 95 % confidence intervals (95 % CI) for adults with intellectual disabilities compared to those without, for the prevalence, and number of condition.

Results

Eight m 14 (0.56 %) had intellectual disabilities, of whom merely 31.8 % had no other conditions compared to 51.vi % without intellectual disabilities (OR 0.26, 95 % 0.25–0.27). The intellectual disabilities group were significantly more likely to have more conditions, with the biggest difference plant for iii conditions (10.9 % versus 6.viii %; OR 2.28, 95 % CI 2.x–2.46). Fourteen physical conditions were significantly more than prevalent, and four cardiovascular conditions occurred less frequently, every bit did any cancers, and chronic obstructive pulmonary diseases. 5 of the vi mental health conditions were significantly more prevalent. For the adults with intellectual disabilities, no gradient was seen in extent of multimorbidity with increasing neighbourhood deprivation; indeed findings were like in the nigh affluent and most deprived areas. Co-morbidity increased with historic period merely is highly prevalent at all ages, being similar at age 20–25 to 50–54 year olds in the general population.

Conclusions

Multi-morbidity burden is greater, occurs at much before age, and the profile of wellness weather condition differs, for adults with intellectual disabilities compared with the general population. There is no clan with neighbourhood impecuniousness; people with intellectual disabilities demand focussed services irrespective of where they live, and at a much earlier age than the general population. They crave specific initiatives to reduce inequalities.

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Background

Adults with intellectual disabilities are thought to experience health inequalities and earlier historic period of death compared with the general population [1]. However, there is fiddling reported information on their wider experience of multimorbidity/comorbidity (two or more atmospheric condition boosted to the intellectual disabilities) in this population across the developed lifespan. Comorbidity is clinically of import, as it may crave a different management approach to the care of an individual illness, and may introduce pharmacological contraindications. There is increasing sensation of its clinical importance, due to the relatively contempo studies of multi-morbidity in the general population showing that it starts to become more than common over the age of 50 and increases in the elderly [2]. In people with intellectual disabilities, rates of individual disorders take been previously reported, for example, a point-prevalence of 40 % for additional mental sick-health [iii], thirty % for epilepsy [4], and l % for gastro-oesophageal reflux disorder [v]. This might suggest that multi-morbidity would be a detail problem for this population, simply we have only been able to find two previous studies on the topic, both of which were focussed just on older people with intellectual disabilities [six, 7]. Both reported loftier rates of multimorbidity/comorbidity; 71 % in 695 older persons with intellectual disabilities [6], and 80 % in 1047 older persons receiving paid back up [7]. These studies did non fatigued straight comparisons with rates in the general population living in the same areas, nor at the aforementioned age.

The extent of multimorbidity is higher in the general population living in more deprived neighbourhoods [2]. Information technology is therefore important to examine if this is too true for people with intellectual disabilities, since this would signal higher needs in this population which may need specific organisation to come across. Both children and adults with intellectual disabilities are more than likely to alive in more deprived areas [viii–xi]. However, the touch this has on their health and wellness care has been little studied [x].

This study was undertaken to quantify the extent of recorded ill-wellness and comorbidity experienced by adults with intellectual disabilities compared with the general population, and to measure the associations between neighbourhood deprivation, age, and comorbidity in adults with intellectual disabilities.

Methods

We used data from the Principal Care Clinical Informatics Unit at the University of Aberdeen for all i,424,378 registered patients aged xviii and over, who were alive and permanently registered with one of 314 Scottish general practices on March 31, 2007 [12]. The dataset is representative of the whole Scottish population in terms of age, sex, and socioeconomic deprivation, with a more detailed explanation available elsewhere [2].

Data on the presence of intellectual disabilities, 32 mutual chronic physical health conditions and half dozen mental health conditions were extracted (definitions are provided in Additional file 1: Appendix ane). Nosotros defined intellectual disabilities using a set of Read Codes based on definitions used by NHS Scotland Information Services and from the Quality & Outcomes Framework (Additional file one: Appendix 2).

Neighbourhood deprivation was measured using the Carstairs deprivation score divided into quintiles (from about affluent to most deprived) [thirteen]. The Carstairs score is based on postcode of residence and is widely used in healthcare research every bit a mensurate of socioeconomic status.

To control for differences between the two populations in historic period, gender and deprivation levels nosotros adopted a similar approach to that undertaken in previous papers [14, xv] and generated standardised prevalence rates past age groups (18 to 24 years; 25 to 34; 35 to 44; 45 to 54; 55 to 64; 65 to 74 and 75 and over), gender, and deprivation quintile using the direct method. These age-gender-deprivation standardised rates were then used to summate odds ratio (ORs) and 95 % conviction intervals (95 % CI) for the adults with intellectual disabilities compared to those without (controls), for the prevalence of 32 physical conditions and 6 mental health weather condition, as well as by the number of overall weather and the number of physical and mental health conditions.

We report by age grouping and gender, differences between those with and without intellectual disabilities in the percentage of individuals with two or more than physical weather condition and two or more mental wellness conditions. Nosotros used t tests to analyse differences between groups and one-way analysis of variance for differences across age groups and deprivation quintiles. For all statistical analyses, a p-value less than 0 · 05 was considered statistically meaning. All analyses were performed in Stata version xiii.

We likewise compared the extent of monitoring of blood pressure in the over 50 years with and without intellectual disabilities to come across if there were any monitoring/recording differences. Blood pressure level measurement is routinely conducted in practices at this age.

The NHS Grampian Inquiry Ethics Service canonical the bearding use of these information for research purposes.

Results

Demographics

There were 8014 (0.56 % of the sample) patients with a Read Code for intellectual disabilities recorded (Tabular array 1). This is similar to previously reported prevalence rates from some other surface area of Scotland where there was rigorous checking of the population [2]. Men were over-represented in the intellectual disabilities group compared to controls (56.4 vs. 49.one % for controls; p < 0.001). Individuals with recorded intellectual disabilities were on boilerplate younger (mean age 43.1 vs. 48.0 years for controls; p < 0.001), with only xi.4 % aged 65 or over compared to 20.6 % of controls. The adults with intellectual disabilities were besides more probable to live in areas of high social deprivation, with but over a quarter (25.3 %) with intellectual disabilities resident in the most deprived quintile of postcodes compared to 17.8 % of controls (p < 0.001).

Table 1 Historic period, gender, and deprivation status, intellectual disabilities versus controls

Total size tabular array

Comorbidities

Overall, 31.8 % of individuals with intellectual disabilities had no other conditions compared to 51.6 % of controls with no recorded condition (Tabular array 2). The intellectual disabilities group were significantly more likely to accept more than of all the specified number of conditions afterward standardising for age, sex and social deprivation, with the smallest departure institute for one condition (intellectual disabilities 27.v % vs. controls 21.iii %; OR 1.48, 95 % CI ane.41–1.55), and the biggest difference constitute for iii conditions (intellectual disabilities 10.9 % vs. controls half dozen.8; OR 2.28, 95 % (CI 2.ten–ii.46) (Table 2).

Table two Prevalence and odds ratio for number and blazon of comorbidities (standardised by age, gender, and deprivation score)

Full size table

When restricting analysis only to physical health comorbidities the adults with intellectual disabilities were far less likely to accept no physical conditions (intellectual disabilities 38.5 % vs. controls 56.5 %; OR 0.27, 95 % CI 0.25–0.29) and more likely to have 1 to four concrete conditions, with the biggest departure found for two physical conditions (intellectual disabilities 17.8 % vs. controls 10.five %; OR ii.50, 95 % CI 2.34–ii.66), simply there were no differences found for v or more atmospheric condition.

People with intellectual disabilities were less likely to have no recorded mental health condition compared to controls (intellectual disabilities 73.four % vs. controls 85.1 %; OR 0.42, 95 % CI 0.forty–0.44) and twice equally likely to accept ane, 2 and three or more mental health atmospheric condition, than people with no intellectual disabilities.

Physical health private weather condition

For the intellectual disabilities group, 14 out of 32 concrete weather were significantly more prevalent relative to controls, 11 were significantly less prevalent, with vii conditions showing no significant differences (Table 3). The largest differences, afterward standardisation for historic period, sex activity and impecuniousness, were for epilepsy (OR 31.03, 95 % CI 29.23–32.92) constipation (OR 11.xix, 95 % CI 10.97–12.68) and visual damage (OR 7.81, 95 % CI six.86–8.89). Five further atmospheric condition were more twice as probable to be prevalent in those with intellectual disabilities compared to controls (hearing loss, eczema, dyspepsia, thyroid disorders and Parkinson'southward Illness or Parkinsonism). Of the eleven conditions for which the relative prevalence for the adults with intellectual disabilities was lower, 4 were cardiovascular related (coronary heart disease OR 0.43, 95 % CI 0.37–0.51, peripheral vascular disease OR 0.44, 95 % CI 0.33–0.60, hypertension OR 0.72, 95 % CI 0.66–0.78 and atrial fibrillation OR 0.83, 95 % CI 0.61–0.98). Lower prevalence in those with intellectual disabilities also included any cancer over the final 5 years (OR 0.69, 95 % CI 0.58–0.83) and chronic obstructive pulmonary diseases (OR 0.84, 95 % CI 0.73–0.97).

Table 3 Actual prevalence rates, and standardised odds ratios for individual physical atmospheric condition. Conditions are ordered past size of standardised odds ratio (largest to smallest)

Full size table

Mental health conditions

Table four highlights that the adults with intellectual disabilities had significantly higher prevalence for five of the mental health conditions with no significant difference plant for anorexia/bulimia. The biggest difference after standardisation for age, sex and deprivation was for schizophrenia/bipolar (OR seven.xvi, 95 % CI 6.49–7.89), followed by anxiety (OR 2.62, 95 % CI 2.41–two.84). The highest prevalence for a mental health condition was plant for low with prevalence 15.8 % for those with intellectual disabilities compared to 10.one % of controls (OR one.88, 95 % CI 1.76–two.00). (The lower prevalence of dementia in the raw data is because the proportion of people with intellectual disabilities who have dementia is minor, given the age distribution of people with intellectual disabilities. However the OR is standardized for age, and so reflects the fact that people with intellectual disabilities, specially Downwardly syndrome, experience dementia at a much earlier age than the general population.)

Table 4 Prevalence and odds ratios for individual mental health atmospheric condition (standardised past age, gender, and deprivation score). Conditions are ordered by size of odds ratio (largest to smallest)

Full size table

Issue of impecuniousness

Figure 1 shows the per centum of individuals with ii or more physical conditions and ii or more mental health conditions by deprivation quintile subsequently age and sex standardisation. Prevalence is college in the intellectual disabilities group for both physical and mental health conditions across all quintiles. A articulate gradient is seen for the full general population in whom the per centum with two or more weather increases every bit the extent of neighbourhood deprivation increases. No such slope is seen for the adults with intellectual disabilities; indeed the proportion with 2 or more than physical wellness conditions, or 2 or more mental health conditions, is similar in both the most affluent and most deprived areas.

Fig. 1
figure 1

Proportion of people with two or more physical conditions, and 2 or more mental health conditions (excluding intellectual disabilities) by deprivation quintile (standardised by age and sexual practice)

Full size image

Consequence of age and gender

Figure 2 shows the per centum of individuals with two or more than concrete weather past age group and gender after standardisation by deprivation. Prevalence is college in the intellectual disabilities group for both men and women for all age groups with the exception of those anile 75 and to a higher place for males. Differences peak at 45–49 for males and 50–54 for females. Women have higher rates for both groups beyond all ages. In the adults with intellectual disabilities, co-morbidity increased with age just is highly prevalent at all ages, with its extent at age xx–25 being similar to that of l–54 year olds in the general population.

Fig. two
figure 2

Proportion of people with two or more physical atmospheric condition by gender and historic period group (standardised by deprivation)

Total size prototype

Figure 3 shows the percentage of individuals with two or more mental health atmospheric condition past age grouping and gender, later on standardisation by deprivation. A similar trend was institute as with physical conditions, with prevalence consistently higher in the intellectual disabilities grouping for both men and women, and higher rates in women for both groups across all ages.

Fig. iii
figure 3

Proportion of people with ii or more mental health conditions past gender and age group (standardised past deprivation)

Full size image

Monitoring/recording

In that location was no divergence in claret pressure monitoring in our population; 83.iii % of the people with intellectual disabilities aged 50 and over had a blood pressure recorded in the previous three years compared to 84.9 % of those without intellectual disabilities.

Discussion

Key results

The extent of multi-morbidity experienced past adults with intellectual disabilities, and its directly comparison with the general population, is a novel and of import finding, with implications for services, including the age at which they are likely to exist needed. Consequently, any policy initiatives or guidelines on multi-morbidity need to be relevant at a much before age in people with intellectual disabilities. This difference has not been previously reported. Morbidity burden and multimorbidity is higher in the population with intellectual disabilities than in the full general population, due to higher rates of some physical conditions, for example epilepsy, gastro-intestinal disorders, and sensory impairments, and higher rates of a range of mental health weather. Whereas multi-morbidity is common in the general population only in older age groups, especially those aged 50–54 and older, it is common in all age groups in adults with intellectual disabilities. The pattern of illness also differs from the general population with some conditions existence less common, such equally cardiovascular disease. Additionally, prevalence of multi-morbidity did not follow the typical gradient seen in the general population across areas of increasing neighbourhood deprivation, importantly highlighting that services are equally needed in all areas.

Two previous studies from holland and Ireland have reported loftier rates of multimorbidity in older people with intellectual disabilities [half dozen, 7], and we as well found this, and extended this finding down the age range to all adults with intellectual disabilities.

Strengths and limitations

Scottish GP practices accept held a register of people with intellectual disabilities since a change in their contract introducing pay-for-performance, which precedes the data extraction this study used. Intellectual inability is a lifetime diagnosis, and once coded at nascence or in childhood this remains on the medical tape indefinitely. The sample with intellectual disabilities appears to be representative, and benefits from its very big size. As expected, compared with people without intellectual disabilities, there were more men, they were younger, and they were more than likely to live in deprived areas. Rates of morbidity were compared with the general population registered at the aforementioned general practices, and standardised by age, gender, and neighbourhood deprivation. It is possible that some people with intellectual disabilities were not coded as such, for example people with Down syndrome, notwithstanding the prevalence of the population identified is similar to that reported for adults with intellectual disabilities in a contempo meta-assay of prevalence studies (0.5 %) [16], and the odds ratio for dementia for the intellectual disabilities grouping compared with the full general population suggests people with Down's syndrome, who have dementia at a much earlier age than the general public, were included.

At that place may be under-reporting of health conditions in the population with intellectual disabilities. This may be so for conditions that are not overtly obvious to paid carers, or where carers aspect the effects of conditions to other reasons. The similarity in extent of claret pressure level recording in the population with intellectual disabilities compared with the general population is reassuring in this regard. If there was under-reporting, so the difference between the two groups would be even more marked than that we written report, and the key message of our newspaper still stands i.e. that multi-morbidity is markedly more common in adults with intellectual disabilities than in the general population, and occurs at a much younger age.

Trouble behaviours, which occur in 22.v % of adults with intellectual disabilities [17] were not included in the study, due to the lack of suitable Read codes for these disorders, hampering their recording/consequent recording. Comparable problem behaviours are rare in the full general population, hence the extent of the deviation in multimorbidity would have been greater if these could have been included. We also did not include autism and attention deficit hyperactivity disorder, both of which are known to exist more mutual in people with intellectual disabilities than in the general population. Conditions are coded during routine health intendance, including chief intendance encounters and based on messages from secondary care, and at that place could be some variation between practices.

We do not accept information on type of accommodation/support the people with intellectual disabilities had.

Interpretation of findings

Some causes of intellectual disabilities likewise crusade physical and/or mental sick-health, for case Down syndrome is associated with thyroid disorder and sensory impairments; nevertheless, Down syndrome accounts for only about fifteen % of the population with intellectual disabilities. Adults with intellectual disabilities are also more probable to lead sedentary lives and not exercise [18], accept more mobility problems [19], obesity [twenty], and are less likely to eat healthily [21] than the general public, and well-nigh a quarter take antipsychotic drugs [22], which may contribute to some of these conditions. They are as well more likely to be prescribed multiple drugs, which tin can adversely bear upon wellness through side-effects and drug interactions [21]. They do not always have the knowledge or understanding to make good for you choices, and are reliant on others for back up and communication. These problems are often compounded by difficulties accessing the health services they need.

Xi of the conditions were recorded statistically less ordinarily in adults with intellectual disabilities than in the general population. The lower rates of smoking and alcohol utilise among the population with intellectual inability may well business relationship for several of these conditions being diagnosed at a lower frequency, peculiarly cardiovascular affliction and chronic obstructive pulmonary disease. The majority of adults with intellectual disabilities do not drink alcohol at all, although some do misuse information technology, and at a slightly college rate than the general population in this study.

Despite the higher prevalence of comorbidity experienced past the adults with intellectual disabilities, the extent of their morbidities may be nether-recorded. Mental and physical health conditions may be unrecognised, nether-investigated and untreated [23–26], with ill-heath presenting late, at more severe stages of illness progression which may be less responsive to handling. Chronic illness monitoring is also less well addressed [27, 28]. Several factors are implicated, such as express verbal communication skills, impaired mobility, and trouble behaviours. People with intellectual disabilities are reliant on carers recognising they may have a problem and seeking help, and dependent upon carers communicating effectively within the team, and indeed across care teams (e.g. day care squad and dwelling house care team). Sometimes, health conditions are misattributed past paid carers or wellness professionals as being role of the adult's intellectual disabilities (diagnostic overshadowing), and not addressed for this reason. These issues are compounded across the entire lifecourse, rather than just beingness due to advice bug in late life.

The apparent driblet-off in the charge per unit of multimorbidity in men anile 75 and older is likely to be a reflection of the very small numbers in these age groups. Virtually people with intellectual disabilities practise non live to such old ages [29, xxx], so these individuals are the "healthy survivors". Older people with intellectual disabilities typically have milder intellectual disabilities than those who die earlier, and people with milder intellectual disabilities are likely to have fewer health problems than people with more than astringent intellectual disabilities. Of the full of 4518 men with intellectual disabilities in the study, there were only threescore (i.32 %) aged 75–79, 32 (0.71 %) anile 80–84, and xvi (0.35 %) anile 85 or older. This compares with 24,831 (3.57 %) aged 75–79 out of the total of 694,911 men without intellectual disabilities, 15,921 (two.29 %) aged fourscore–84, and 11,017 (1.59 %) aged 85 or older.

The lack of clan between neighbourhood impecuniousness and multimorbidity in this population is probable to be due to area based measures of deprivation not accurately reflecting the relative degree of affluence or poverty experienced past people with intellectual disabilities, in the face of the extensive difficulties they have to cope with in life. Many adults with intellectual disabilities are non integrated within their communities. They do not necessarily take shared values and lifestyles with their local community. Rented adaptation in which adults with intellectual disabilities are placed with individual tenancies, or shared tenancies with other adults with intellectual disabilities, tend to be in less affluent areas. 1 can speculate that their paid carers are more likely to live in the local expanse, merely the adult may still have regular contact with family, whom they grew up with and who may have different levels of affluence and lifestyles compared to the area their adult kid with intellectual disabilities now lives in. The interaction of these factors is probable to be complex. Additionally, some of the more congregate care mode of housing is more probable to exist in flush areas where there are larger houses; but large group living can effect in less individual time from paid carers who are shared by several adults, and less time for customs integration. Very few adults with intellectual disabilities have paid employment, so are likely to be of low socio-economical status, and dependant on state benefits, regardless of the expanse they live in.

Generalisability of findings

The broader dataset is representative of the Scottish population in terms of historic period, sex activity, and deprivation [12]. Intellectual disabilities was constitute in 0.56 % of the sample. This is slightly higher than the 0.5 % recorded in GP registers for pay-for-performance, reflecting that we used a somewhat broader set up of Read Codes (http://www.isdscotland.org/Wellness-Topics/General-Practice/Quality-And-Outcomes-Framework/ Accessed 23.12.14.). Equally expected, there were more than men than women with intellectual disabilities (as more boys than girls are born with intellectual disabilities), a smaller proportion at older age groups than in the general population (due to premature death [29, 30]), and more lived in areas of neighbourhood deprivation. This suggests that the sample with intellectual disabilities is representative of the Scottish population, and hence that these findings are generalisable.

Conclusions

This study is important every bit information technology demonstrates, in a very large cohort, the increased burden of multi-morbidity experienced by adults with intellectual disabilities compared with the general population, and with much earlier age of onset. Their extent of co-morbidity at age 20–25 is similar to that of the general population anile l–54. Additionally, their profile of health conditions differs from the general population and does not have the same associations with neighbourhood deprivation. There may also be under-recording of some conditions due to access difficulties, including carers non recognising issues nor seeking health care, and conditions not existence diagnosed or managed accordingly [30]. The implication is that policy initiatives to benefit the majority of the population (i.e. the general population) are unlikely to as benefit the population with intellectual disabilities, despite their greater overall morbidity. Examples include focussing initiatives and resources in areas of greatest neighbourhood deprivation, and smoking cessation programmes. Assumptions about people with intellectual disabilities' wellness profiles and determinants of health cannot necessarily be drawn from the general population. Reducing the health inequality gap will require specific initiatives for adults with intellectual disabilities, and we have demonstrated that people with intellectual disabilities demand focussed services irrespective of where they live, and from an early age. This presents challenges for main care, and highlights a potentially key office for paid carers in supporting access to and across services.

Abbreviations

CI:

Confidence intervals

NHS:

National Health Service

OR:

Odds ratio

References

  1. NHS Wellness Scotland. People with Learning Disabilities in Scotland: The Health Needs Cess Report. Scotland, Glasgow: NHS; 2004.

    Google Scholar

  2. Barnett Grand, Mercer SW, Norbury Grand, Watt 1000, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical didactics: a cantankerous-sectional study. Lancet. 2012;380(9836):37–43.

    Article  PubMed  Google Scholar

  3. Cooper S-A, Smiley E, Morrison J, Allan L, Williamson A. Prevalence of and associations with mental ill-wellness in adults with intellectual disabilities. Br J Psychiatr. 2007;190:27–35.

    Article  Google Scholar

  4. Airaksinen EM, Matilainen R, Mononen T, Mustonen One thousand, Partanen J, Jokela V, et al. A population-based study on epilepsy in mentally retarded children. Epilepsia. 2000;iv:1214–20.

    Commodity  Google Scholar

  5. Böhmer CJ, Niezen-de Boer MC, Klinkenberg-Knol EC, Deville WL, Nadorp JH, Meuwissen SG. The prevalence of gastroesophageal reflux disease in institutionalized intellectually disabled individuals. Am J Gastroenterol. 1999;94:804–10.

    Commodity  PubMed  Google Scholar

  6. McCarron Grand, Swinburne J, Burke Due east, McGlinchey Due east, Carroll R, McCallion P. Patterns of multimorbidity in an older population of persons with an intellectual disability: results from the intellectual disability supplement to the Irish gaelic longitudinal written report on aging (IDS-TILDA). Res Evolution Disabilit. 2013;34:521–7.

    Article  Google Scholar

  7. Hermans H, Evenhuis HM. Multimorbidity in older adults with intellectual disabilities. Res Evolution Disabilit. 2014;35:776–83.

    Commodity  Google Scholar

  8. Emerson E, Graham H, Hatton C. Household income and wellness status in children and adolescents in United kingdom. European J Public Wellness. 2006;16:354–60.

    Article  Google Scholar

  9. Leonard H, Petterson B, De Klerk N, Zubrick SR, Glasson Eastward, Sanders R, et al. Association of sociodemographic characteristics of children with intellectual disability in Western Australia. Soc Sci Med. 2005;threescore:1499–513.

    Article  PubMed  Google Scholar

  10. Cooper S-A, McConnachie A, Allan L, Melville C, Smiley E, Morrison J. Neighbourhood impecuniousness, health inequalities, and service use of adults with intellectual disabilities. Cross-sectional study J Intellect Disabilit Res. 2011;55:313–23.

    Commodity  Google Scholar

  11. Morgan CL, Ahmed Z, Kerr MP. Health care provision for people with a learning disability: record linkage study of epidemiology and factors contributing to hospital intendance uptake. B J Psychiatr. 2000;176:37–41.

    CAS  Article  Google Scholar

  12. Elder R, Kirkpatrick M, Ramsay W, MacLeod M, Guthrie B, Sutton Grand, et al. Measuring quality in chief medical services using data from SPICE. Edinburgh: Information and Statistics Division: NHS National Services Scotland; 2007.

    Google Scholar

  13. Carstairs V, Morris R. Impecuniousness and health in Scotland. Aberdeen: Aberdeen Academy Press; 1991.

    Google Scholar

  14. Smith DJ, Martin DJ, McLean G, Langan Martin J, Guthrie B, Mercer SW. Multimorbidity in bipolar disorder and under treatment of cardiovascular illness: cantankerous sectional study. BMC Medicine. 2013;eleven:263–74.

    Commodity  PubMed  PubMed Fundamental  Google Scholar

  15. Court H, McLean Thousand, Guthrie B, Mercer Due south, Smith D. Visual impairment is associated with physical and mental comorbidities in older adults: a cantankerous-sectional written report. BMC Medicine. 2014;12:181.

    Article  PubMed  PubMed Primal  Google Scholar

  16. Maulik PK, Mascarenhas MN, Mathers CD, Dua T, Saxena S. Prevalence of intellectual disability: a meta-analysis of population-based studies. Res Dev Disabil. 2011;32:419–36.

    Article  PubMed  Google Scholar

  17. Jones S, Cooper S-A, Smiley E, Allan L, Williamson A, Morrison J. Prevalence of, and factors associated with, problem behaviours in adults with intellectual disabilities. Periodical of Nervous and Mental Diseas. 2008;196:678–86.

    Article  Google Scholar

  18. Finlayson J, Jackson A, Cooper S-A, Morrison J, Melville C, Smiley E, et al. Understanding predictors of low physical exercise in adults with intellectual disabilities. J Applied Res Intellect Disabilit. 2009;22:236–47.

    Commodity  Google Scholar

  19. Finlayson J, Morrison J, Jackson A, Mantry D, Cooper Due south-A. Injuries, falls, and accidents in the population of adults with intellectual disabilities. J Intellect Disabilit Res. 2010;54:966–80.

    CAS  Article  Google Scholar

  20. Melville C, Cooper Due south-A, Morrison J, Allan L, Smiley E, Williamson A. The prevalence and determinants of obesity in adults with intellectual disabilities. J Applied Res Intellect Disabilit. 2008;21:425–37.

    Article  Google Scholar

  21. Draheim CC, Stanish HI, Williams DP, McCubbin JA. Dietary intake of adults with mental retardation who reside in community settings. Am J Ment Retard. 2007;2007(112):392–400.

    Article  Google Scholar

  22. Doan TN, Lennox NG, Taylor-Gomez M, Ware RS. Medication apply among Australian adults with intellectual disability in main healthcare settings: a cross-exclusive study. J Intellect Dev Disabil. 2013;2013(38):177–81.

    Article  Google Scholar

  23. Beange H, McElduff A, Baker W. Medical disorders of adults with learning disabilities: A population written report. Am J Ment Retard. 1995;99:595–604.

    CAS  PubMed  Google Scholar

  24. Kapell D, Nightingale B, Rodriguez A, et al. Prevalence of chronic medical conditions in adults with mental retardation: comparison with the general population. Ment Retard. 1998;36:269–79.

    CAS  Article  PubMed  Google Scholar

  25. Baxter H, Lowe G, Houston H, Jone One thousand, Felce D, Kerr M. Previously unidentified morbidity in patients with intellectual disability. Br J General Practise. 2006;56:93–viii.

    Google Scholar

  26. Felce D, Baxter H, Lowe K, et al. The affect of repeated health checks for adults with intellectual disabilities. J Applied Res Intellectual Disabilities. 2008;21:585–96.

    Article  Google Scholar

  27. Chauhan U, Kontopantelis E, Campbell South, Jarrett H, Lester H. Hypothesis: Health checks in principal treat adults with intellectual disabilities: how extensive should they be? J Intellectual Disabilities Res. 2010;54:479–86.

    CAS  Commodity  Google Scholar

  28. Cooper South-A, Morrison J, Allan Fifty, McConnachie A, Melville C, Baltzer M, et al. Practise nurse health checks for adults with intellectual disabilities: a cluster design randomised controlled trial. Lancet Psychiatry. 2014;1:511–21.

    Article  PubMed  Google Scholar

  29. Tyrer F, Smith LK, McGrother CW. Bloodshed in adults with moderate to profound intellectual disability: a population–based study. J Intellect Disabilit Res. 2007;51:520–7.

    CAS  Article  Google Scholar

  30. Pauline Heslop P, Blair P, Fleming P, Hoghton M, Marriott A, Russ L. Confidential Research into premature deaths of people with learning disabilities (CIPOLD). Final report; 2013. http://www.bris.ac.united kingdom/media-library/sites/cipold/migrated/documents/fullfinalreport.pdf accessed 16.one.15.

Download references

Acknowledgements

The data contained herein were provided past the Main Care Clinical Informatics Unit (PCCIU) at the University of Aberdeen. The views in this publication are not necessarily the views of the University of Aberdeen, its agents, or employees. The original study which created the data was funded past Scottish Government Chief Scientist Office Applied Research Programme Grant 07/01.

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Corresponding author

Correspondence to Sally-Ann Cooper.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

Due south-AC conceived the study and planned it with FS, SM and JM. GMcL carried out the analysis with support from AMcC. SM and BG conceived and conducted the original study which created the information used in this analysis. All authors were involved in drafting the manuscript or revising it critically for important intellectual content. S-AC is the guarantor. All authors read and approved the final manuscript.

Additional file

Additional file i:

Appendix 1: Information lexicon. Appendix 2: Read Codes used to ascertain the presence of intellectual disability (DOCX 21 kb)

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Cooper, SA., McLean, G., Guthrie, B. et al. Multiple concrete and mental health comorbidity in adults with intellectual disabilities: population-based cross-exclusive analysis. BMC Fam Pract 16, 110 (2015). https://doi.org/10.1186/s12875-015-0329-three

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  • DOI : https://doi.org/x.1186/s12875-015-0329-3

Keywords

  • Intellectual disabilities
  • Mental retardation
  • Multi-morbidity
  • Concrete health
  • Mental health
  • Inequalities
  • Deprivation

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Source: https://bmcprimcare.biomedcentral.com/articles/10.1186/s12875-015-0329-3

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