The influence of socioeconomic deprivation on multimorbidity at different ages: a cross-sectional study

<b>Background</b> Multimorbidity occurs at a younger age in individuals in areas of high socioeconomic deprivation but little is known about the 'typology' of multimorbidity in different age groups and its association with socioeconomic status.<p></p> <b>Aim</b> To characterise multimorbidity type and most common conditions in a large nationally representative primary care dataset in terms of age and deprivation.<p></p> <b>Design and setting</b> Cross-sectional analysis of 1 272 685 adults in Scotland.<p></p> <b>Method</b> Multimorbidity type of participants (physical-only, mental-only, mixed physical, and mental) and most common conditions were analysed according to age and deprivation.<p></p> <b>Results</b> Multimorbidity increased with age, ranging from 8.1% in those aged 25–34 to 76.1% for those aged ≥75 years. Physical-only (56% of all multimorbidity) was the most common type of multimorbidity in those aged ≥55 years, and did not vary substantially with deprivation. Mental-only was uncommon (4% of all multimorbidity), whereas mixed physical and mental (40% of all multimorbidity) was the most common type of multimorbidity in those aged <55 years and was two- to threefold more common in the most deprived compared with the least deprived in most age groups. Ten conditions (seven physical and three mental) accounted for the top five most common conditions in people with multimorbidity in all age groups. Depression and pain featured in the top five conditions across all age groups. Deprivation was associated with a higher prevalence of depression, drugs misuse, anxiety, dyspepsia, pain, coronary heart disease, and diabetes in multimorbid patients at different ages.<p></p> <b>Conclusion</b> Mixed physical and mental multimorbidity is common across the life-span and is exacerbated by deprivation from early adulthood onwards

Comorbidity and polypharmacy in people with dementia:insights from a large, population-based cross-sectional analysis of primary care data

Background: The care of older people with dementia is often complicated by physical comorbidity and polypharmacy, but the extent and patterns of these have not been well described. This paper reports analysis of these factors within a large, cross-sectional Methods: Data were extracted for 291,169 people aged 65 years or older registered with 314 general practices in the UK, of whom 10,258 had an electronically recorded dementia diagnosis. Differences in the number and type of 32 physical conditions and the number of repeat prescriptions in those with and without dementia were examined. Age–gender standardised rates were used to calculate odds ratios (ORs) of physical comorbidity and polypharmacy. Results: People with dementia, after controlling for age and sex, had on average more physical conditions than controls (mean number of conditions 2.9 versus 2.4; P < 0.001) and were on more repeat medication (mean number of repeats 5.4 versus 4.2; P < 0.001). Those with dementia were more likely to have 5 or more physical conditions (age–sex standardised OR [sOR] 1.42, 95% confidence interval (CI) 1.35–1.50; P < 0.001) and were also more likely to be on 5 or more (sOR 1.46; 95% CI 1.40–1.52; P < 0.001) or 10 or more repeat prescriptions (sOR 2.01; 95% CI 1.90–2.12; P < 0.001). Conculsions: People with dementia have a higher burden of comorbid physical disease and polypharmacy than those without dementia, even after accounting for age and sex differences. Such complex needs require an integrated response from general health professionals and multidisciplinary dementia specialists

Patient and public involvement in the ongoing applied artificial intelligence and complex health interventions co-design work

This briefing paper describes how we involved Patient and Public Involvement (PPI) methods in the ongoing applied artificial intelligence (AI) and complex interventions co-design project seeking to improve pathways of care for people with multiple long-term conditions (MLTCs) in Scotland. This project is part of the wider NIHR-funded programme called AIM-CISC (www.aim-cisc) which aims to use AI and state-of-the-art data science, social science, genomics, and health service research methods to understand the clustering of MLTCs within individuals, communities, and in key clinical contexts

How does sex influence multimorbidity? Secondary analysis of a large nationally representative dataset

Multimorbidity increases with age and is generally more common in women, but little is known about sex effects on the “typology” of multimorbidity. We have characterized multimorbidity in a large nationally representative primary care dataset in terms of sex in ten year age groups from 25 years to 75 years and over, in a cross-sectional analysis of multimorbidity type (physical-only, mental-only, mixed physical and mental; and commonest conditions) for 1,272,685 adults in Scotland. Our results show that women had more multimorbidity overall in every age group, which was most pronounced in the 45–54 years age group (women 26.5% vs. men 19.6%; difference 6.9 (95% CI 6.5 to 7.2). From the age of 45, physical-only multimorbidity was consistently more common in men, and physical-mental multimorbidity more common in women. The biggest difference in physical-mental multimorbidity was found in the 75 years and over group (women 30.9% vs. men 21.2%; difference 9.7 (95% CI 9.1 to 10.2). The commonest condition in women was depression until the age of 55 years, thereafter hypertension. In men, drugs misuse had the highest prevalence in those aged 25–34 years, depression for those aged 35–44 years, and hypertension for 45 years and over. Depression, pain, irritable bowel syndrome and thyroid disorders were more common in women than men across all age groups. We conclude that the higher overall prevalence of multimorbidity in women is mainly due to more mixed physical and mental health problems. The marked difference between the sexes over 75 years especially warrants further investigation. © 2016 by the authors; licensee MDPI, Basel, Switzerland