Sara Angleman

Aging with multimorbidity: A systematic review of the literature

A literature search was carried out to summarize the existing scientific evidence concerning occurrence, causes, and consequences of multimorbidity (the coexistence of multiple chronic diseases) in the elderly as well as models and quality of care of persons with multimorbidity. According to pre-established inclusion criteria, and using different search strategies, 41 articles were included (four of these were methodological papers only). Prevalence of multimorbidity in older persons ranges from 55 to 98%. In cross-sectional studies, older age, female gender, and low socioeconomic status are factors associated with multimorbidity, confirmed by longitudinal studies as well. Major consequences of multimorbidity are disability and functional decline, poor quality of life, and high health care costs. Controversial results were found on multimorbidity and mortality risk. Methodological issues in evaluating multimorbidity are discussed as well as future research needs, especially concerning etiological factors, combinations and clustering of chronic diseases, and care models for persons affected by multiple disorders. New insights in this field can lead to the identification of preventive strategies and better treatment of multimorbid patients.

Association of cardiovascular burden with mobility limitation among elderly people: a population-based study.

Background Cardiovascular risk factors (CRFs) such as smoking and diabetes have been associated with mobility limitations among older adults. We seek to examine to what extent individual and aggregated CRFs and cardiovascular diseases (CVDs) are associated with mobility limitation. Methods The study sample included 2725 participants (age ≥60 years, mean age 72.7 years, 62% women) in the Swedish National Study on Aging and Care in the Kungsholmen district of central Stockholm, Sweden, who were living either at their own home or in institutions. Data on demographic features, CRFs, and CVDs were collected through interview, clinical examination, self-reported history, laboratory tests, and inpatient register. Mobility limitation was defined as walking speed <0.8 m/s. Data were analyzed using multiple logistic models controlling for potential confounders. Results Of the 2725 participants, 581 (21.3%) had mobility limitation. The likelihood of mobility limitation increased linearly with the increasing number of CRFs (i.e., hypertension, high C-reactive protein, obesity, diabetes and smoking) (p for linear trend<0.010) and of CVDs (i.e., ischemic heart disease, atrial fibrillation, heart failure and stroke) (p for linear trend<0.001). There were statistical interactions of aggregated CRFs with age and APOE ε4 allele on mobility limitation (p interaction<0.05), such that the association of mobility limitation with aggregated CRFs was statistically evident only among people aged <80 years and among carriers of the APOE ε4 allele. Conclusion Aggregations of multiple CRFs and CVDs are associated with an increased likelihood of mobility limitation among older adults; however the associations of CRFs with mobility limitation vary by age and genetic susceptibility.

The influence of multimorbidity on clinical progression of dementia in a population-based cohort

Introduction Co-occurrence with other chronic diseases may influence the progression of dementia, especially in case of multiple chronic diseases. We aimed to verify whether multimorbidity influenced cognitive and daily functioning during nine years after dementia diagnosis compared with the influence in persons without dementia. Methods In the Kungsholmen Project, a population-based cohort study, we followed 310 persons with incident dementia longitudinally. We compared their trajectories with those of 679 persons without dementia. Progression was studied for cognition and activities of daily life (ADLs), measured by MMSE and Katz Index respectively. The effect of multimorbidity and its interaction with dementia status was studied using individual growth models. Results The mean (SD) follow-up time was 4.7 (2.3) years. As expected, dementia related to both the decline in cognitive and daily functioning. Irrespective of dementia status, persons with more diseases had significantly worse baseline daily functioning. In dementia patients having more diseases also related to a significantly faster decline in daily functioning. Due to the combination of lower functioning in ADLs at baseline and faster decline, dementia patients with multimorbidity were about one to two years ahead of the decline of dementia patients without any co-morbidity. In persons without dementia, no significant decline in ADLs over time was present, nor was multimorbidity related to the decline rate. Cognitive decline measured with MMSE remained unrelated to the number of diseases present at baseline. Conclusion Multimorbidity was related to baseline daily function in both persons with and without dementia, and with accelerated decline in people with dementia but not in non-demented individuals. No relationship of multimorbidity with cognitive functioning was established. These findings imply a strong interconnection between physical and mental health, where the greatest disablement occurs when both somatic and mental disorders are present.

Adherence to physical exercise recommendations in people over 65—The SNAC-Kungsholmen study

BACKGROUND There is limited knowledge regarding to what extent the older population meet the recommendations of physical exercise, especially fitness-enhancing exercise. This study assessed participation in health- and fitness-enhancing exercises in people aged >65, and explored to what extent the possible differences in meeting current recommendations differs by age, gender and education. METHODS The study population was derived from the Swedish National study on Aging and Care, and consisted of a random sample of 2593 subjects, aged 65+ years. Participation in health- and fitness-enhancing exercise according to the WHO and the American College of Sports Medicines recommendations in relation to age, gender and education was evaluated using multinomial logistic regression adjusted for health indicators and physical performance. RESULTS According to the recommendations, 46% of the participants fulfilled the criteria for health-enhancing and 16% for fitness-enhancing exercises. Independent of health indicators and physical performance, women <80 years of age were less likely than men to participate in fitness-enhancing exercise, but they participated more in health-enhancing exercise. In the advanced age group (80+ years), women were less likely to participate both in fitness- and health-enhancing exercise. Advanced age and low education were negatively related to participation in both health- and fitness-enhancing exercise independent of health indicators, but the association was not observed among people with fast walking speed. CONCLUSION Promoting physical exercise and encouraging participation among older adults with lower education, especially among those with initial functional decline, may help to reduce adverse health outcomes.

The Benefits of Staying Active in Old Age : Physical Activity Counteracts the Negative Influence of PICALM, BIN1, and CLU Risk Alleles on Episodic Memory Functioning

PICALM, BIN1, CLU, and APOE are top candidate genes for Alzheimers disease, and they influence episodic memory performance in old age. Physical activity, however, has been shown to protect against age-related decline and counteract genetic influences on cognition. The aims of this study were to assess whether (a) a genetic risk constellation of PICALM, BIN1, and CLU polymorphisms influences cognitive performance in old age; and (b) if physical activity moderates this effect. Data from the SNAC-K population-based study were used, including 2,480 individuals (age range = 60 to 100 years) free of dementia at baseline and at 3- to 6-year follow-ups. Tasks assessing episodic memory, perceptual speed, knowledge, and verbal fluency were administered. Physical activity was measured using self-reports. Individuals who had engaged in frequent health- or fitness-enhancing activities within the past year were compared with those who were inactive. Genetic risk scores were computed based on an integration of risk alleles for PICALM (rs3851179 G allele, rs541458 T allele), BIN1 (rs744373 G allele), and CLU (rs11136000 T allele). High genetic risk was associated with reduced episodic memory performance, controlling for age, education, vascular risk factors, chronic diseases, activities of daily living, and APOE gene status. Critically, physical activity attenuated the effects of genetic risk on episodic memory. Our findings suggest that participants with high genetic risk who maintain a physically active lifestyle show selective benefits in episodic memory performance.

Age-Related Variation in Health Status after Age 60

Background Disability, functionality, and morbidity are often used to describe the health of the elderly. Although particularly important when planning health and social services, knowledge about their distribution and aggregation at different ages is limited. We aim to characterize the variation of health status in a 60+ old population using five indicators of health separately and in combination. Methods 3080 adults 60+ living in Sweden between 2001 and 2004 and participating at the SNAC-K population-based cohort study. Health indicators: number of chronic diseases, gait speed, Mini Mental State Examination (MMSE), disability in instrumental-activities of daily living (I-ADL), and in personal-ADL (P-ADL). Results Probability of multimorbidity and probability of slow gait speed were already above 60% and 20% among sexagenarians. Median MMSE and median I-ADL showed good performance range until age 84; median P-ADL was close to zero up to age 90. Thirty% of sexagenarians and 11% of septuagenarians had no morbidity and no impairment, 92% and 80% of them had no disability. Twenty-eight% of octogenarians had multimorbidity but only 27% had some I-ADL disability. Among nonagenarians, 13% had severe disability and impaired functioning while 12% had multimorbidity and slow gait speed. Conclusions Age 80-85 is a transitional period when major health changes take place. Until age 80, most people do not have functional impairment or disability, despite the presence of chronic disorders. Disability becomes common only after age 90. This implies an increasing need of medical care after age 70, whereas social care, including institutionalization, becomes a necessity only in nonagenarians.

Incidence and Predictors of Multimorbidity in the Elderly: A Population-Based Longitudinal Study

Background We aimed to calculate 3-year incidence of multimorbidity, defined as the development of two or more chronic diseases in a population of older people free from multimorbidity at baseline. Secondly, we aimed to identify predictors of incident multimorbidity amongst life-style related indicators, medical conditions and biomarkers. Methods Data were gathered from 418 participants in the first follow up of the Kungsholmen Project (Stockholm, Sweden, 1991–1993, 78+ years old) who were not affected by multimorbidity (149 had none disease and 269 one disease), including a social interview, a neuropsychological battery and a medical examination. Results After 3 years, 33.6% of participants who were without disease and 66.4% of those with one disease at baseline, developed multimorbidity: the incidence rate was 12.6 per 100 person-years (95% CI: 9.2–16.7) and 32.9 per 100 person-years (95% CI: 28.1–38.3), respectively. After adjustments, worse cognitive function (OR, 95% CI, for 1 point lower Mini-Mental State Examination: 1.22, 1.00–1.48) was associated with increased risk of multimorbidity among subjects with no disease at baseline. Higher age was the only predictor of multimorbidity in persons with one disease at baseline. Conclusions Multimorbidity has a high incidence at old age. Mental health-related symptoms are likely predictors of multimorbidity, suggesting a strong impact of mental disorders on the health of older people.

Assessing and Measuring Chronic Multimorbidity in the Older Population: A Proposal for Its Operationalization

Abstract Background Although the definition of multimorbidity as “the simultaneous presence of two or more chronic diseases” is well established, its operationalization is not yet agreed. This study aims to provide a clinically driven comprehensive list of chronic conditions to be included when measuring multimorbidity. Methods Based on a consensus definition of chronic disease, all four-digit level codes from the International Classification of Diseases, 10th revision (ICD-10) were classified as chronic or not by an international and multidisciplinary team. Chronic ICD-10 codes were subsequently grouped into broader categories according to clinical criteria. Last, we showed proof of concept by applying the classification to older adults from the Swedish National study of Aging and Care in Kungsholmen (SNAC-K) using also inpatient data from the Swedish National Patient Register. Results A disease or condition was considered to be chronic if it had a prolonged duration and either (a) left residual disability or worsening quality of life or (b) required a long period of care, treatment, or rehabilitation. After applying this definition in relation to populations of older adults, 918 chronic ICD-10 codes were identified and grouped into 60 chronic disease categories. In SNAC-K, 88.6% had ≥2 of these 60 disease categories, 73.2% had ≥3, and 55.8% had ≥4. Conclusions This operational measure of multimorbidity, which can be implemented using either or both clinical and administrative data, may facilitate its monitoring and international comparison. Once validated, it may enable the advancement and evolution of conceptual and theoretical aspects of multimorbidity that will eventually lead to better care.

Prevalence of disability according to multimorbidity and disease clustering: a population-based study

Background The prevalence of chronic diseases has increased with population ageing, and research has attempted to elucidate the correlation between chronic diseases and disability. However, most studies in older populations have focused on the effect of single disabling conditions, even though most older adults have more than one chronic disease (multimorbidity). Objective The aims of this study were to evaluate the association of disability with disease, in terms of multimorbidity and specified pairs of diseases, in a population-based study of older adults. Materials and Methods Using the Kungsholmen Project, we estimated the prevalence of disability by the number of chronic diseases, disease status by organ systems, and in specific pairs of chronic conditions, in a Swedish population (n=1,099; ≥77 years). Disability was defined as need of assistance in at least one activity of daily living (Katz index). Results Functional disability was seen in 17.9% of participants. It increased as the number of chronic diseases increased. The prevalence of disability varied greatly amongst specific pairs of diseases: from 6.7% in persons affected by hypertension and atrial fibrillation to 82.4% in persons affected by dementia and hip fracture. In multivariate logistic regression models, the disease pairs that were significantly associated with the highest increased relative odds of disability contained dementia (dementia–hip fracture, dementia–CVD, and dementia–depression). Conclusions Our findings suggest specific pairs of diseases are much more highly associated with disability than others, particularly diseases coupled with dementia. This knowledge may improve prevention of disablement and planning of resource distribution.

Can chronic multimorbidity explain the age-related differences in strength, speed and balance in older adults?

Background and aims: It is known that physical performance declines with age in general, however there remains much to be understood in terms of age-related differences amongst older adults across a variety of physical components (such as speed, strength and balance), and particularly in terms of the role played by multimorbidity of chronic diseases. We aimed to detect the age-related differences across four components of physical performance and to explore to what extent chronic diseases and multimorbidity may explain such differences. Methods: We analyzed cross-sectional data from a population-based sample of 3323 people, aged 60 years and older from the SNAC-K study, Stockholm, Sweden. Physical performance was assessed by trained nurses using several tests (grip strength, walking speed, balance and chair stands). Clinical diagnoses were made by the examining physician based on clinical history and examination. Results: Censored normal regression analyses showed that the 72–90+ year-old persons had 17–40% worse grip strength, 44–86% worse balance, 30–86% worse chair stand score, and 21–59% worse walking speed, compared with the 60–66 year-old persons. Chronic diseases were strongly associated with physical impairment, and this association was particularly strong among the younger men. However, chronic diseases explained only some of the age-related differences in physical performance. When controlling for chronic diseases in the analyses, the age-related differences in physical performance changed 1–11%. Conclusion: In spite of the strong association between multimorbidity and physical impairment, chronic morbidities explained only a small part of the age-related differences in physical performance.