Physical activity is inversely associated with multimorbidity in elderly men: results from the KORA-Age Augsburg Study

The association between intensity-specific physical activity and the number of multiple chronic diseases among Chinese elderly: A study based on the China Health and Retirement Longitudinal study (CHARLS)

Background

With ageing, the elderly are facing a complex situation where multiple chronic diseases coexist. This paper aims to investigate the effect of intensity-specific physical activity on the number of multiple chronic diseases in the elderly.

Methods

Our data came from wave 4 of the China Health and Retirement Longitudinal Survey (CHARLS), which involved 10,341 residents aged ≥ 60 years. The intensity-specific physical activity was divided into two categories: moderate-intensity physical activity (MPA) lasting ≥ 150 min/week and vigorous-intensity physical activity (VPA) lasting ≥ 75 min/week. Data on 14 types of chronic diseases were collected. Propensity score matching (PSM) with controlling nine confounding factors were used to analyse the effects of intensity-specific physical activity.

Results

Among 10,341 samples, 40.12% of the elderly often participated in MPA and 25.72% participated in VPA. The PSM results showed that performing 150 min/week of MPA leads to 0.0675(P<0.05) fewer multiple chronic diseases than not achieving this standard, and VPA up to 75 min/week leads to 0.0785(P<0.05) fewer multiple chronic disease than that does not meet this criterion. Additionally, VPA is more effective than MPA.

Conclusion

Both MPA of at least 150 min/week and VPA of at least 75 min/week can significantly reduce the number of multiple chronic diseases in elderly. Elderly people should increase their exercise intensity as much as possible while ensuring safety.

Long-term multimorbidity trajectories in older adults: The role of cancer, demographics, and health behaviors

BACKGROUND

Multimorbidity is associated with premature mortality and excess health care costs. The burden of multimorbidity is highest among patients with cancer, yet trends and determinants of multimorbidity over time are poorly understood.

METHODS

Via Medicare claims linked to Cancer Prevention Study II data, group-based trajectory modeling was used to compare National Cancer Institute comorbidity index score trends for cancer survivors and older adults without a cancer history. Among cancer survivors, multinomial logistic regression analyses evaluated associations between demographics, health behaviors, and comorbidity trajectories.

RESULTS

In 82,754 participants (mean age, 71.6 years [SD, 5.1 years]; 56.9% female), cancer survivors (n = 11,265) were more likely than older adults without a cancer history to experience the riskiest comorbidity trajectories: (1) steady, high comorbidity scores (remain high; odds ratio [OR], 1.36; 95% CI, 1.29-1.45), and (2) high scores that increased over time (start high and increase; OR, 1.51; 95% CI, 1.38-1.65). Cancer survivors who were physically active postdiagnosis were less likely to fall into these two trajectories (OR, 0.73; 95% CI, 0.64-0.84, remain high; OR, 0.42; 95% CI, 0.33-0.53, start high and increase) compared to inactive survivors. Cancer survivors with obesity were more likely to have a trajectory that started high and increased (OR, 2.83; 95% CI, 2.32-3.45 vs. normal weight), although being physically active offset some obesity-related risk. Cancer survivors who smoked postdiagnosis were also six times more likely to have trajectories that started high and increased (OR, 6.86; 95% CI, 4.41-10.66 vs. never smokers).

CONCLUSIONS

Older cancer survivors are more likely to have multiple comorbidities accumulated at a faster pace than older adults without a history of cancer. Weight management, physical activity, and smoking avoidance postdiagnosis may attenuate that trend.

Multimorbidity is associated with lower total 24-hour movement activity among US adults

Objective

Having chronic conditions may result in reduced physical and cognitive function but less is known about multimorbidity with daily movement. We examined the association of multimorbidity and device-measured total daily movement in a nationally representative sample of US adults aged ≥ 30 years from the 2011-2014 National Health and Nutrition Examination Surveys.

Methods

Any multimorbidity (≥2 conditions) and complex multimorbidity (≥3 conditions across ≥ 3 body systems) were quantified using 16 chronic conditions via self-report and/or clinical thresholds. Total movement over 24-hours (Monitor-Independent Movement Summary units [MIMS-units]) was measured using a wrist-worn device (ActiGraph GT3X). Multivariable linear regression examined the association of 1) each chronic condition, 2) number of conditions, 3) any multimorbidity, and 4) complex multimorbidity with total movement. Covariates included age, gender, race/ethnicity, educational attainment, and smoking status.

Results

Among US adults (N = 7304, mean age: 53.2 ± 0.34 years, 53.2% female, 69.4% Non-Hispanic White), 62.2% had any multimorbidity with 34.2% having complex multimorbidity. After adjustment, a higher number of chronic conditions was associated with incrementally lower total movement (β MIMS-units [95% CI] compared to those with no chronic conditions; one: -419 [-772, -66], two: -605 [-933, -278], three: -1201 [-1506, -895], four: -1908 [-2351, -1465], 5+: -2972 [-3384, -2560]). Complex multimorbidity presence was associated with -1709 (95% CI: -2062, -1357) and -1269 (-1620, -918) lower total movement compared to those without multimorbidity and multimorbidity but not complex, respectively.

Conclusions

Multimorbidity was associated with lower 24-h movement among US adults and may be helpful for identifying adults at risk for low movement.

Sociodemographic and lifestyle determinants of multimorbidity among community-dwelling older adults: findings from 346,760 SHARE participants

BACKGROUND

This study aimed to investigate the prevalence of multimorbidity and its associated factors among the older population in China to propose policy recommendations for the management of chronic diseases in older adults.

METHODS

This study was conducted based on the 2021 Shenzhen Healthy Ageing Research (SHARE), and involved analysis of 346,760 participants aged 65 or older. Multimorbidity is defined as the presence of two or more clinically diagnosed or non self-reported chronic diseases among the eight chronic diseases surveyed in an individual. The Logistic analysis was adopted to explore the potential associated factors of multimorbidity.

RESULTS

The prevalences of obesity, hypertension, diabetes, anemia, chronic kidney disease, hyperuricemia, dyslipidemia and fatty liver disease were 10.41%, 62.09%, 24.21%, 12.78%, 6.14%, 20.52%, 44.32%, and 33.25%, respectively. The prevalence of multimorbidity was 63.46%. The mean count of chronic diseases per participant was 2.14. Logistic regression indicated that gender, age, marriage status, lifestyle (smoking status, drinking status, and physical activity), and socioeconomic status (household registration, education level, payment method of medical expenses) were the common predictors of multimorbidity for older adults, among which, being women, married, or engaged in physical activity was found to be a relative determinant as a protective factor for multimorbidity after the other covariates were controlled.

CONCLUSION

Multimorbidity is prevalent among older adults in Chinese. Guideline development, clinical management,and public intervention should target a group of diseases instead of a single condition.

Prevalence and factors associated with multimorbidity in adults in Brazil, according to sex: a population-based cross-sectional survey

Introduction

Multimorbidity, defined as the coexistence of two or more chronic diseases in the same individual, represents a significant health challenge. However, there is limited evidence on its prevalence and associated factors in developing countries, such as Brazil, especially stratified by sex. Thus, this study aims to estimate the prevalence and analyze the factors associated with multimorbidity in Brazilian adults according to sex.

Methods

Cross-sectional population-based household survey carried out with Brazilian adults aged 18 years or older. The sampling strategy consisted of a three-stage conglomerate plan. The three stages were performed through simple random sampling. Data were collected through individual interviews. Multimorbidity was classified based on a list of 14 self-reported chronic diseases/conditions. Poisson regression analysis was performed to estimate the magnitude of the association between sociodemographic and lifestyle factors with the prevalence of multimorbidity stratified by sex.

Results

A total of 88,531 individuals were included. In absolute terms, the prevalence of multimorbidity was 29.4%. The frequency in men and women was 22.7 and 35.4%, respectively. Overall, multimorbidity was more prevalent among women, the older people, residents of the South and Southeast regions, urban area residents, former smokers, current smokers, physically inactive, overweight, and obese adults. Individuals with complete high school/incomplete higher education had a lower prevalence of multimorbidity than those with higher educational level. The associations between education and multimorbidity differed between sexes. In men, multimorbidity was inversely associated with the strata of complete middle school/incomplete high school and complete high school/incomplete higher education, while in women, the association between these variables was not observed. Physical inactivity was positively associated with a higher prevalence of multimorbidity only in men. An inverse association was verified between the recommended fruit and vegetable consumption and multimorbidity for the total sample and both sexes.

Conclusion

One in four adults had multimorbidity. Prevalence increased with increasing age, among women, and was associated with some lifestyles. Multimorbidity was significantly associated with educational level and physical inactivity only in men. The results suggest the need to adopt integrated strategies to reduce the magnitude of multimorbidity, specific by gender, including actions for health promotion, disease prevention, health surveillance and comprehensive health care in Brazil.

Sex differences in non-communicable disease multimorbidity among adults aged 45 years or older in India

OBJECTIVE

Older male and female adults differ in key characteristics such as disease-specific life expectancy, health behaviours and clinical presentations and non-communicable disease multimorbidity (NCD-MM). Therefore, examining the sex differences in NCD-MM among older adults is vital, as this issue is understudied in low-income and middle-income country (LMIC) contexts such as India, and has been growing in the past few decades.

DESIGN

Large scale nationally representative cross-sectional study.

SETTINGS AND PARTICIPANTS

Longitudinal Ageing Study in India (LASI 2017-2018) had data on 27 343 men and 31 730 women aged 45+, drawn from a sample of 59 073 individuals across India.

PRIMARY AND SECONDARY OUTCOMES MEASURES

We operationalised NCD-MM based on prevalence of the presence of two or more long-term chronic NCD morbidities. Descriptive statistics and bivariate analysis along with multivariate statistics were used.

RESULTS

Women aged 75+ had a higher prevalence of multimorbidity as compared with men (52.1% vs 45.17%). NCD-MM was more common among widows (48.5%) than widowers (44.8%). The female-to-male ratios of ORs (RORs) for NCD-MM associated with overweight/obesity and prior history of chewing tobacco were 1.10 (95% CI: 1.01 to 1.20) and 1.42 (95% CI: 1.12 to 1.80), respectively. The female-to-male RORs show that the odds of NCD-MM were greater in formerly working women (1.24 (95% CI: 1.06 to 1.44)) relative to formerly working men. The effect of increasing NCD-MM on limitations in activities of daily living and instrumental ADL was greater in men than women but reversed for the hospitalisation.

CONCLUSIONS

We found significant sex differences in NCD-MM prevalence among older Indian adults, with various associated risk factors. The patterns underlying these differences warrant greater study, given existing evidence on differential longevity, health burdens and health-seeking patterns all of which operate in a larger structural context of patriarchy. Health systems in turn must respond to NCD-MM mindful of these patterns and aim to redress some of the larger inequities they reflect.

Physical activity and body mass index were interactively related to health-related quality of life among older adults

PURPOSE

The purpose of this study was to examine how meeting physical activity (PA) guidelines (i.e., moderate-to-vigorous aerobic activity, muscle strengthening activity) and weight status were interactively related to health-related quality of life (HRQoL) among older adults.

METHODS

A cross-sectional analysis was conducted using data from 87,495 older adults aged 65+ years who participated in the U.S. 2019 Behavioral Risk Factor Surveillance System. PA, weight status, and HRQoL were assessed by validated questionnaires via phone interviews. Binomial logistic regression models were used to examine the interactive effects of meeting PA guidelines and weight status on the odds of having poor HRQoL after controlling for key confounders.

RESULTS

Compared to participants meeting both PA guidelines and with normal weight, both underweight and obese older adults had significantly higher odds of having poor general health (OR= 1.55-6.16) regardless of meeting PA guideline status, and those meeting muscle strengthening activities only or meeting neither PA guideline reported higher odds of poor physical health (OR= 1.83-6.22) regardless of weight status. Similarly, those meeting neither PA guideline had significantly higher odds of having poor mental health (OR= 1.69-2.78) regardless of weight status, and those meeting muscle strengthening activities only or meeting neither PA guideline reported higher odds of having frequent activity limitation days (OR= 2.18-7.05).

CONCLUSIONS

The positive associations between moderate-to-vigorous aerobic PA and HRQoL indicate the need to promote aerobic PA in older adults. Both sex and weight status should be considered when designing PA interventions to improve HRQoL among older adults.

Patterns and Determinants of Multimorbidity in Older Adults: Study in Health-Ecological Perspective

(1) Background: Multimorbidity has become one of the key issues in the public health sector. This study aims to explore the patterns and health-ecological factors of multimorbidity in China to propose policy recommendations for the management of chronic diseases in the elderly. (2) Methods: A multi-stage random sampling method was used to conduct a questionnaire survey on 3637 older adults aged 60 and older in Shanxi, China. Association rule mining analysis (ARM) and network analysis were applied to analyze the patterns of multimorbidity. The health-ecological model was adopted to explore the potential associated factors of multimorbidity in a multidimensional perspective. A hierarchical multiple logistic model was employed to investigate the association strengths reflected by adjusted odds ratios and 95% confidence. (3) Results: Multimorbidity occurred in 20.95% of the respondents. The graph of network analysis showed that there were 6 combinations of chronic diseases with strong association strengths and 14 with moderate association strengths. The results of the ARM were similar to the network analysis; six dyadic chronic disease combinations and six triadic ones were obtained. Hierarchical multiple logistic regression indicated that innate personal traits (age, history of genetics, and body mass index), behavioral lifestyle (physical activity levels and medication adherence), interpersonal network (marital status), and socioeconomic status (educational level) were the common predictors of multimorbidity for older adults, among which, having no family history was found to be a relative determinant as a protective factor for multimorbidity after controlling the other covariates. (4) Conclusions: multimorbidity was prevalent in older adults and most disease combinations are associated with hypertension, followed by diabetes. This shows that diabetes and hypertension have a high prevalence among older adults and have a wide range of associations with other chronic diseases. Exploring the patterns and associated factors of multimorbidity will help the country prevent complications and avoid the unnecessary use of the health service, adopting an integrated approach to managing multimorbidity rather than an individual disease-specific approach and implementing different strategies according to the location of residence.

Physical Activity and Multimorbidity Among Community-Dwelling Older Adults: A Systematic Review With Meta-Analysis

OBJECTIVE

This study evaluated the relationship between physical activity (PA) and multimorbidity in community-dwelling older adults.

DATA SOURCE

A systematic review and meta-analysis in the following databases: Pubmed, Lilacs, Scielo, Web of Science, Scopus, and AgeLine.

STUDY INCLUSION AND EXCLUSION CRITERIA

It included observational studies investigating the association between physical activity and multimorbidity, with older adults, published until May 2021. Studies with institutionalized individuals or that assessed specific diseases were excluded.

DATA EXTRACTION

Two reviewers independently extracted the studies based on previous inclusion and exclusion criteria, started by selecting titles, followed by abstracts and full-text reading.

DATA SYNTHESIS

Meta-analysis results were reported as Odds Ratio (OR) with a 95% confidence interval using R language. The Newcastle Ottawa scale was used to assess the quality of the studies.

RESULTS

Fifteen studies were included in the systematic review, from which 12 reported an inverse association between physical activity and multimorbidity. In the meta-analysis, from over 77 000 older adults, there was an inverse association between physical activity and multimorbidity [OR: .81; 95% CI: .73-.89]. We found significant results only for men in the analysis by sex.

CONCLUSIONS

Low levels of physical activity were associated with a higher risk of multimorbidity in older adults. It is expected that public policies will be conducted aimed at the practice of physical activity among older adults.

Multimorbidity resilience and health behaviors among older adults: A longitudinal study using the Canadian Longitudinal Study on Aging

Objective

There has been a growing interest in examining why some individuals adapt and bounce back from multimorbidity (resilience) better than others. This paper investigates the positive role of protective health behaviors on multimorbidity resilience (MR) among older adults focusing on older persons with two or more concurrent chronic conditions, and separately for three multimorbidity chronic illness clusters.

Methods

Using Baseline and Follow-up One data from the Comprehensive Cohort of the Canadian Longitudinal Study on Aging, we studied 10,628 participants aged 65 years and older who reported two or more of 27 chronic conditions, and three multimorbidity clusters: Cardiovascular/metabolic, Musculoskeletal, and Mental health. Associations between health behaviors and MR were evaluated using Linear Mixed Models, adjusting for socio-demographic, social/environmental, and illness context social determinants of health.

Results

Among older adults with two or more illnesses, smoking, satisfaction with sleep, appetite, and skipping meals were associated with MR in the expected direction. Also, obesity (compared to normal weight) and skipping meals showed longitudinal interaction effects with survey wave. Most of the results were replicated for the physical multimorbidity clusters (Cardiovascular/metabolic and Musculoskeletal) compared to the full 2+ multimorbidity analyses; however, for the Mental health cluster, only satisfaction with sleep was supported as a lifestyle predictor of MR.

Discussion

Several modifiable health behaviors identified in the broader health and aging literature are important in affecting levels of multimorbidity resilience in older age. These factors are important strength-based areas to target. Additionally, several social determinants of health are also supported and parallel research on multimorbidity risk. The effects of lifestyle factors for resilience among older adults is dependent on the type of multimorbidity measured. We conclude that the results have significant public health, program intervention, and clinical implications for healthy aging among persons coping with multimorbidity.

A combination of moderate and vigorous physical activities reduces the burden of multimorbidity: findings from Longitudinal Ageing Study in India

Background

Physical inactivity is a significant factor contributing to the prevalence of non-communicable diseases (NCDs). The objective of this study is to examine the association between physical activity and multimorbidity among Indian adults aged 45 years and above by residence.

Methods

Data from Longitudinal Ageing Study in India (LASI) 2017–2018, wave 1, a nationally representative study, are used to examine the above objective. A total of 59,073 adults aged 45 years and above are enlisted in the study. Physical activities and other demographic and socioeconomic variables have been used to describe the distribution of multimorbidity and investigate their relationship. Logistic regression is employed to examine the adjusted impact of physical activity on multimorbidity among Indian adults (45 + years) by residence.

Results

The level of physical activity is inversely related to the prevalence of multimorbidity in India. The rate of multimorbidity ranges from 4 to 12% among moderately active individuals in rural areas, whereas it ranges from 9 to 34% in urban areas across the age groups of 45 to 75+ years. Notably, the individuals who engage in both moderate and vigorous activities have a lower prevalence of multimorbidity than those who engage in only moderate activities.

Conclusion

Our study shows that physical inactivity has an association with the rise in multimorbidity in both rural and urban areas; however, the intensity of multimorbidity is higher in urban areas. The policymakers should consider the influence of moderate and vigorous physical activity as a key prevention measure of non-communicable disease and multimorbidity.

Multimorbidity and depression among older adults in India: Mediating role of functional and behavioural health

Researchers have long been concerned about the association between depression and the prevalence of multiple chronic diseases or multimorbidity in older persons. However, the underlying pathway or mechanism in the multimorbidity-depression relationship is still unknown. Data were extracted from a baseline survey of the Longitudinal Ageing Survey of India (LASI) conducted during 2017–18 (N = 31,464; aged ≥ 60 years). Depression was assessed using the 10-item Centre for Epidemiological Studies Depression Scale (CES-D-10). Multivariable logistic regression was used to examine the association. The Karlson–Holm–Breen (KHB) method was adopted for mediation analysis. The prevalence of depression among older adults was nearly 29% (men: 26% and women 31%). Unadjusted and adjusted estimates in binary logistic regression models suggested an association between multimorbidity and depression (UOR = 1.28; 95% CIs 1.27–1.44 and AOR = 1.12; 95% CIs 1.12–1.45). The association was particularly slightly strong in the older men. In addition, the association was mediated by functional health such as Self Rated Health (SRH) (proportion mediated: 40%), poor sleep (35.15%), IADL disability (22.65%), ADL disability (21.49%), pain (7.92%) and by behavioral health such as physical inactivity (2.28%). However, the mediating proportion was higher among older women as compared to older men. Physical inactivity was not found to be significant mediator for older women. The findings of this population-based study revealed that older people with multimorbidity are more likely to suffer depressive symptoms in older ages, suggesting the need for more chronic disease management and research. Multimorbidity and depression may be mediated by certain functional health factors, especially in older women. Further longitudinal research is needed to better understand the underlying mechanisms of this association so that future preventive initiatives may be properly guided.

Physical activity and sedentary behaviour interventions for people living with both frailty and multiple long-term conditions: a scoping review protocol

INTRODUCTION

The number of people living with multiple long-term conditions (MLTCs) is predicted to rise. Within this population, those also living with frailty are particularly vulnerable to poor outcomes, including decreased function. Increased physical activity, including exercise, has the potential to improve function in those living with both MLTCs and frailty but, to date, the focus has remained on older people and may not reflect outcomes for the growing number of younger people living with MLTCs and frailty. For those with higher burdens of frailty and MLTCs, physical activity may be challenging. Tailoring physical activity in response to symptoms and periods of ill-health, involving family and reducing sedentary behaviour may be important in this population. How the tailoring of interventions has been approached within existing studies is currently unclear. This scoping review aims to map the available evidence regarding these interventions in people living with both frailty and MLTCs.

METHODS AND ANALYSIS

We will use a six-stage process: (1) identifying the research questions; (2) identifying relevant studies (via database searches); (3) selecting studies; (4) charting the data; (5) collating and summarising and (6) stakeholder consultation. Studies will be critically appraised using the Mixed Methods Appraisal Tool.

ETHICS AND DISSEMINATION

All data in this project will be gathered through database searches. Stakeholder consultation will be undertaken with an established patient and public involvement group. We will disseminate our findings via social media, publication and engagement meetings.

Decomposing urban-rural differences in multimorbidity among older adults in India: a study based on LASI data

BACKGROUND

Multimorbidity is defined as the co-occurrence of two or more than two diseases in the same person. With rising longevity, multimorbidity has become a prominent concern among the older population. Evidence from both developed and developing countries shows that older people are at much higher risk of multimorbidity; however, urban-rural differential remained scarce. Therefore, this study examines urban-rural differential in multimorbidity among older adults by decomposing the risk factors of multimorbidity and identifying the covariates that contributed to the change in multimorbidity.

METHODS

The study utilized information from 31,464 older adults (rural-20,725 and urban-10,739) aged 60 years and above from the recent release cross-sectional data of the Longitudinal Ageing Study in India (LASI). Descriptive, bivariate, and multivariate decomposition analysis techniques were used.

RESULTS

Overall, significant urban-rural differences were found in the prevalence of multimorbidity among older adults (difference: 16.3; p < 0.001). The multivariate decomposition analysis revealed that about 51% of the overall differences (urban-rural) in the prevalence of multimorbidity among older adults was due to compositional characteristics (endowments). In contrast, the remaining 49% was due to the difference in the effect of characteristics (Coefficient). Moreover, obese/overweight and high-risk waist circumference were found to narrow the difference in the prevalence of multimorbidity among older adults between urban and rural areas by 8% and 9.1%, respectively. Work status and education were found to reduce the urban-rural gap in the prevalence of multimorbidity among older adults by 8% and 6%, respectively.

CONCLUSIONS

There is a need to substantially increase the public sector investment in healthcare to address the multimorbidity among older adults, more so in urban areas, without compromising the needs of older adults in rural areas.

Gender differences in the association of obesity-related measures with multi-morbidity among older adults in India: evidence from LASI, Wave-1

Background

Co-existence of multiple chronic diseases is increasingly becoming a norm among ageing population. The study aims to investigate the prevalence of multimorbidity and the association between anthropometric measures of obesity and multimorbidity among men and women aged 60 years and above in India.

Methods

The present study is based on the first wave of the Longitudinal Aging Study in India. The analytical sample size for the study was 28,050 older adults aged 60 years and above. Descriptive statistics and multivariable analysis using logistic regression models were conducted.

Results

Body Mass Index (BMI) based-obesity is more prevalent among older women than men (26.3% vs. 17.6%). Similarly, higher proportion of older women was at high-risk waist circumference (37.1% vs 8.9%) and waist-hip ratio (78.5 vs 75.4%) than men respectively. In Model-I, after controlling for several covariates, older adults with overweight/obesity were 1.6 times more likely to have multi-morbidity than non-obese older adults (Adjusted OR = 1.61; 95% CI: 1.48–1.74). Similarly, older adults with high-risk waist circumference [Adjusted OR: 1.66; 95% CI: 1.52–1.80] and waist-hip ratio [Adjusted OR: 1.45; 95% CI: 1.33–1.59] also had higher odds of having multi-morbidity in reference to their counterparts. In model-3 it was found that females with high-risk waist-hip ratio had 14% lower odds of multimorbidity than males with high-risk waist-hip ratio [Adjusted OR: 0.86; 95%CI: 0.78–0.94].

Conclusion

The findings of the study show significant gender difference in the prevalence of multimorbidity, men being at increased risk in the multivariate analysis which is uncommon in the existing epidemiological research. Interactive effect of male gender with anthropometric measures on multimorbidity reported in our study probably due to increased unhealthy behaviours among men requires further research.

Social Determinants and Health Behaviours among Older Adults Experiencing Multimorbidity Using the Canadian Longitudinal Study on Aging

This study examines associations between lifestyle behavioural factors and appraisals of “healthy aging” among older adults experiencing multimorbidity. A Social Determinants and Health Behaviour Model (SDHBM) is used to frame the analyses. Using baseline data from the Canadian Longitudinal Study on Aging (CLSA), we studied 12,272 Canadians 65 years of age or older who reported 2 or more of 27 chronic conditions. Additional analyses were conducted using three multimorbidity clusters: cardiovascular/metabolic, musculoskeletal, and mental health. Using hierarchical logistic regression, it was found that, for multmorbidity and the three illness clusters, healthy aging is consistently associated with not smoking (except for the mental health cluster), an absence of obesity (except for the cardiovascular and metabolic cluster), better sleep, and a better appetite. It is not associated with inactivity. Several socio-demographic, environmental, and illness covariates were also supported. The findings are examined using the SDHBM coupled with a resilience lens in order to elucidate how modifiable health behaviours can act as resources to mitigate multimorbidity adversities. This has implications for healthy aging for persons with multimorbidity, especially during the COVID-19 pandemic.

Physical Activity in Women With Hypothyroidism on Thyroid Hormone Therapy: Associated Factors and Perceived Barriers and Benefits

BACKGROUND

The purpose of this study was to analyze factors associated with physical activity (PA) and to identify perceived barriers and benefits of PA among patients with hypothyroidism on thyroid hormone therapy.

METHODS

This survey-based cross-sectional study was conducted among members of the Dutch thyroid patient organization. Self-reported data on respondents' PA levels and demographic, clinical, and physical health variables were collected. Moreover, perceived barriers and benefits to PA were identified. Respondents were categorized as physically active when meeting the recommended Dutch PA guidelines and physically inactive otherwise. To compare physically active and inactive respondents, potential confounders were entered into univariate analyses. Factors showing significant correlations (P < .20) were added to a multivariate model to determine the associated factors of PA.

RESULTS

About 1724 female respondents (mean age 53.0 [11.6] y) were included; 16.1% reported meeting the PA recommendations. Multivariate analysis showed that factors associated with PA included levothyroxine/liothyronine therapy, comorbidities, self-perceived physical fitness, and diminished physical endurance. Overall, physically related barriers to PA were rated highest.

CONCLUSIONS

The vast majority of treated hypothyroid respondents are physically inactive and experience long-term exercise intolerance. Considering the health implications of physical inactivity, promotion of regular PA is of key importance in this population.

Promoting physical activity and physical function in people with long-term conditions in primary care: the Function First realist synthesis with co-design

Background

As people age and accumulate long-term conditions, their physical activity and physical function declines, resulting in disability and loss of independence. Primary care is well placed to empower individuals and communities to reduce this decline; however, the best approach is uncertain.

Objectives

To develop a programme theory to explain the mechanisms through which interventions improve physical activity and physical function in people with long-term conditions in different primary care contexts, and to co-design a prototype intervention.

Data sources

Systematic literature searches of relevant databases with forwards and backwards citation tracking, grey literature searches and further purposive searches were conducted. Qualitative data were collected through workshops and interviews.

Design

Realist evidence synthesis and co-design for primary care service innovation.

Setting

Primary care in Wales and England.

Participants

Stakeholders included people with long-term conditions, primary care professionals, people working in relevant community roles and researchers.

Methods

The realist evidence synthesis combined evidence from varied sources of literature with the views, experiences and ideas of stakeholders. The resulting context, mechanism and outcome statements informed three co-design workshops and a knowledge mobilisation workshop for primary care service innovation.

Results

Five context, mechanism and outcome statements were developed. (1) Improving physical activity and function is not prioritised in primary care (context). If the practice team culture is aligned to the elements of physical literacy (mechanism), then physical activity promotion will become routine and embedded in usual care (outcome). (2) Physical activity promotion is inconsistent and unco-ordinated (context). If specific resources are allocated to physical activity promotion (in combination with a supportive practice culture) (mechanism), then this will improve opportunities to change behaviour (outcome). (3) People with long-term conditions have varying levels of physical function and physical activity, varying attitudes to physical activity and differing access to local resources that enable physical activity (context). If physical activity promotion is adapted to individual needs, preferences and local resources (mechanism), then this will facilitate a sustained improvement in physical activity (outcome). (4) Many primary care practice staff lack the knowledge and confidence to promote physical activity (context). If staff develop an improved sense of capability through education and training (mechanism), then they will increase their engagement with physical activity promotion (outcome). (5) If a programme is credible with patients and professionals (context), then trust and confidence in the programme will develop (mechanism) and more patients and professionals will engage with the programme (outcome). A prototype multicomponent intervention was developed. This consisted of resources to nurture a culture of physical literacy, materials to develop the role of a credible professional who can promote physical activity using a directory of local opportunities and resources to assist with individual behaviour change.

Limitations

Realist synthesis and co-design is about what works in which contexts, so these resources and practice implications will need to be modified for different primary care contexts.

Conclusions

We developed a programme theory to explain how physical activity could be promoted in primary care in people with long-term conditions, which informed a prototype intervention.

Future work

A future research programme could further develop the prototype multicomponent intervention and assess its acceptability in practice alongside existing schemes before it is tested in a feasibility study to inform a future randomised controlled trial.

Study registration

This study is registered as PROSPERO CRD42018103027.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 16. See the NIHR Journals Library website for further project information.

'Function First': how to promote physical activity and physical function in people with long-term conditions managed in primary care? A study combining realist and co-design methods

OBJECTIVES

To develop a taxonomy of interventions and a programme theory explaining how interventions improve physical activity and function in people with long-term conditions managed in primary care. To co-design a prototype intervention informed by the programme theory.

DESIGN

Realist synthesis combining evidence from a wide range of rich and relevant literature with stakeholder views. Resulting context, mechanism and outcome statements informed co-design and knowledge mobilisation workshops with stakeholders to develop a primary care service innovation.

RESULTS

A taxonomy was produced, including 13 categories of physical activity interventions for people with long-term conditions.

ABRIDGED REALIST PROGRAMME THEORY

Routinely addressing physical activity within consultations is dependent on a reinforcing practice culture, and targeted resources, with better coordination, will generate more opportunities to address low physical activity. The adaptation of physical activity promotion to individual needs and preferences of people with long-term conditions helps affect positive patient behaviour change. Training can improve knowledge, confidence and capability of practice staff to better promote physical activity. Engagement in any physical activity promotion programme will depend on the degree to which it makes sense to patients and professions, and is seen as trustworthy.

CO-DESIGN

The programme theory informed the co-design of a prototype intervention to: improve physical literacy among practice staff; describe/develop the role of a physical activity advisor who can encourage the use of local opportunities to be more active; and provide materials to support behaviour change.

CONCLUSIONS

Previous physical activity interventions in primary care have had limited effect. This may be because they have only partially addressed factors emerging in our programme theory. The co-designed prototype intervention aims to address all elements of this emergent theory, but needs further development and consideration alongside current schemes and contexts (including implications relevant to COVID-19), and testing in a future study. The integration of realist and co-design methods strengthened this study.

Interaction of physical activity on the association of obesity-related measures with multimorbidity among older adults: a population-based cross-sectional study in India

OBJECTIVE

To explore the associations between obesity-related measures and multimorbidity among older Indian adults and the interactive effects of physical activity in those associations.

DESIGN

A cross-sectional study was conducted using large representative survey data.

SETTING AND PARTICIPANTS

The present study used data from the Longitudinal Aging Study in India (LASI) conducted during 2017-2018. Participants included 15 098 male and 16 366 female older adults aged 60 years and above in India.

PRIMARY AND SECONDARY OUTCOME MEASURES

The outcome variable was multimorbidity among older adults coded as no and yes. Descriptive statistics along with bivariate analysis are presented in the paper. Additionally, binary logistic regression analysis was used to fulfil the study objectives.

RESULTS

About 24% of older adults in the LASI cohort suffered from multimorbidity. Older adults who were overweight/obese (adjusted OR (AOR): 1.61, CI 1.48 to 1.74), had high-risk waist circumference (AOR: 1.66, CI 1.52 to 1.80) and had high-risk waist to hip ratio (AOR: 1.45, CI 1.33 to 1.59) were significantly more likely to suffer from multimorbidity compared with their counterparts. Older adults who were obese and physically inactive had significantly increased odds of suffering from multimorbidity compared with older adults who were obese and physically active. Similarly, older adults with high-risk waist circumference (AOR: 1.30, CI 1.11 to 1.53) and high-risk waist to hip ratio (AOR: 1.32, CI 1.20 to 1.46) along with being physically inactive had significantly higher odds of suffering from multimorbidity in comparison with older adults with high-risk waist circumference and waist to hip ratio along with being physically active.

CONCLUSION

While developing health strategies for older adults, physical activity needs to be recognised as a way of minimising comorbidities. Further, the study highlights the importance of using multiple obesity-related measures to predict chronic conditions in the older population.

Physical Activity as a Predictor of Cognitive Decline in an Elderly Essential Tremor Cohort: A Prospective, Longitudinal Study

Background: Essential tremor (ET), one of the most common neurological diseases, is associated with cognitive impairment. Surprisingly, predictors of cognitive decline in ET remain largely unidentified, as longitudinal studies are rare. In the general population, however, lower physical activity has been linked to cognitive decline.

Objectives: To determine whether baseline physical activity level is a predictor of cognitive decline in ET.

Methods: One hundred and twenty-seven ET cases (78.1 ± 9.5 years, range = 55–95), enrolled in a prospective, longitudinal study of cognition. At baseline, each completed the Physical Activity Scale for the Elderly (PASE), a validated, self-rated assessment of physical activity. Cases underwent an extensive battery of motor-free neuropsychological testing at baseline, 1.5 years, and 3 years, which incorporated assessments of cognitive subdomains. Generalized estimating equations (GEEs) were used to assess the predictive utility of baseline physical activity for cognitive change.

Results: Mean follow-up was 2.9 ± 0.4 years (range = 1.3–3.5). In cross-sectional analyses using baseline data, lower physical activity was associated with lower overall cognitive function as well as lower cognitive scores in numerous cognitive domains (memory, language, executive function, visuospatial function and attention, all p < 0.05). In adjusted GEE models, lower baseline physical activity level significantly predicted overall cognitive decline over time (p=0.047), and declines in the subdomains of memory (p = 0.001) and executive function (p = 0.03).

Conclusions: We identified reduced physical activity as a predictor of greater cognitive decline in ET. The identification of risk factors often assists clinicians in determining which patients are at higher risk of cognitive decline over time. Interventional studies, to determine whether increasing physical activity could modify the risk of developing cognitive decline in ET, may be warranted.

Associations between participation in, intensity of, and time spent on leisure time physical activity and risk of inflammatory bowel disease among older adults (PA-IBD): a prospective cohort study

Background

Inflammatory bowel diseases (IBDs) are diseases of the immune system that share some genetic and lifestyle-related predisposing factors. Increasing incidences have been reported in all age groups. Based on experimental studies suggesting a role of physical activity on intestinal inflammation, this study aimed to investigate the association between leisure time physical activity and the risk of IBD in older adults.

Methods

The study is a prospective cohort study using Danish registry data and questionnaire data from the Danish “Diet, Cancer and Health” cohort. The outcome IBD was defined as having at least two main diagnoses of Crohn’s disease or ulcerative colitis registered in the National Patient Registry from the period between December 1993 and May 1997 with an average follow-up of 25 years. Cox proportional hazard models were used to estimate hazard-ratios for IBD onset associated with being physically active and with levels of the metabolic equivalent of task (MET) hours/week of physical activity and hours/week spent on six types of physical activity. All analyses were adjusted for potential confounders. Furthermore, the analyses were stratified according to age-group, occupational physical activity, smoking, BMI and work status to test for effect modification.

Results

In total, 54,645 men and women aged between 50 and 64 years were included, and of which there were 529 cases. When comparing physically active with inactive participants measured by MET hours/week there was no statistically significant difference in risk of IBD (0.89 [0.13; 6.27]), regardless of how participation was measured. Results did not indicate any dose-response effect when comparing quartile groups of MET hours/week (HR = 0.97 [0.76; 1.22], HR = 0.82 [0.64; 1.05] and HR = 0.83 [0.65; 1.07] or whether five of the six types of activities were compared with the lowest quartile as reference. For do-it-yourself-work, the third quartile of hours/week was associated with a higher risk of IBD compared to the second quartile of hours/week (HR = 1.44 [1.10; 1.90]. No effect modification was found.

Conclusions

There was no association between physical activity and risk of IBD when comparing physically active with inactive participants. Neither did the results indicate any dose-response effect when comparing quartile groups of MET hours/week with the lowest quartile as reference. Do-it-yourself work, however, appeared to be associated with a higher risk of IBD when comparing the third quartile with the second quartile of hours/week. The study has clinical relevance by its contribution to the explanatory field of the causes of IBD. However, the study has some limitations, and further research is needed to clarify associations between physical activity and risk of IBD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10492-7.

Linear and non-linear associations between physical activity, body composition and multimorbidity over 10 years among community-dwelling older adults

BACKGROUND

This study aims to describe the relationships between physical activity (PA), body composition and multimorbidity over 10 years.

METHODS

Participants (N=373; 49% women; average age 61.3±6.7 years) were followed for 10 years. Multimorbidity was defined by self-report as the presence of two or more of 12 listed chronic conditions. PA (steps-per-day) at baseline was assessed by pedometer, handgrip strength (HGS) by dynamometer and appendicular lean mass (ALM) and total body fat mass by dual x-ray absorptiometry . Relative HGS and ALM were calculated by dividing each body mass index (BMI). Regression cubic splines were used to assess evidence for a non-linear relationship.

RESULTS

After 10 years, 45% participants had multimorbidity. There was a non-linear relationship between PA and multimorbidity - PA was associated with lower multimorbidity risk among individuals who engaged in <10,000 steps-per-day (RR=0.91, 95% CI: 0.85, 0.97, per 1000 steps-per-day), but not among those who participated in ≥10,000 steps-per-day (RR=1.04, 95% CI: 0.93, 1.09, per 1000 steps-per-day). Higher BMI (RR=1.05, 95% CI: 1.02, 1.08, per kg/m 2) and fat mass (RR=1.03, 95% CI: 1.01, 1.04, per kg), and lower relative HGS (RR=0.85, 95% CI: 0.77, 0.94, per 0.1 psi/kg/m 2) and ALM (RR=0.93, 95% CI: 0.88, 0.98, per 0.1 kg/kg/m 2) were linearly associated with a higher risk of multimorbidity. Absolute HGS and ALM were not significantly associated with multimorbidity.

DISCUSSION

These findings highlight the potential clinical importance of maintaining adequate levels of PA and of reducing adiposity and maintaining muscle function for minimising the risk of multimorbidity in older adults.

Prevalence of non-communicable chronic conditions, multimorbidity and its correlates among older adults in rural Nepal: a cross-sectional study

OBJECTIVES

This study's objectives were to estimate the prevalence of major non-communicable conditions and multimorbidity among older adults in rural Nepal and examine the associated socioeconomic and behavioural risk factors.

DESIGN

This was a community-based cross-sectional study conducted between January and April 2018.

SETTING

Rural municipalities of Sunsari and Morang districts in eastern Nepal.

PARTICIPANTS

794 older Nepalese adults, 60 years and older, were recruited using a multistage cluster sampling approach.

PRIMARY OUTCOME MEASURES

Prevalence of four major non-communicable chronic conditions (osteoarthritis, cardiovascular disease, diabetes and chronic obstructive pulmonary disease (COPD) and multimorbidity.

RESULTS

Almost half (48.9%: men 45.3%; women 52.4%) of the participants had at least one of four non-communicable chronic conditions, and 14.6% (men 12.5%; women 16.8%) had two or more conditions. The prevalence of individual conditions included: osteoarthritis-41.7% (men 37.5%; women 45.9%), cardiovascular disease-2.4% (men 2.8%; women 2.0%), diabetes-5.3% (men 6.0%; women 4.6%) and COPD-15.4% (men 13.3%; women 17.5%). In the adjusted model, older adults aged 70-79 years (adjusted OR (AOR): 1.62; 95% CI: 1.04 to 2.54), those from Madhesi and other ethnic groups (AOR: 1.08; 95% CI: 1.02 to 1.72), without a history of alcohol drinking (AOR: 1.53; 95% CI: 1.18 to 2.01) and those physically inactive (AOR: 5.02; 95% CI: 1.47 to 17.17) had significantly higher odds of multimorbidity.

CONCLUSIONS

This study found one in seven study participants had multimorbidity. The prevalence of multimorbidity and associated socioeconomic and behavioural correlates need to be addressed by integrating social programmes with health prevention and management at multiple levels. Moreover, a longitudinal study is suggested to understand the temporal relationship between lifestyle predictors and multimorbidity among older Nepalese adults.

Lifestyle factors and multimorbidity among older adults (ELSI-Brazil)

The objective of the study was to evaluate the association between unhealthy lifestyle factors (individual and combined) and multimorbidity stratified by sex, in a national sample representative of Brazilians aged 50 years or older. Data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) baseline, conducted in 2015-2016, were used. Multimorbidity was defined by the existence of two or more of the 19 chronic diseases. Four unhealthy lifestyle factors were considered: (1) at-risk alcohol consumption, (2) current or past smoking, (3) insufficient physical activity and (4) below-recommended consumption of fruits and vegetables. The association between unhealthy lifestyle factors, individual and combined, was assessed by logistic regression. Among the 7918 study participants, the prevalence of multimorbidity was 75.8% (95% CI 73.7-77.7) among women and 58.7% (95% CI 56.0-61.3) among men. Among women, none of the analyzed behaviors presented an independent and statistically significant association (p < 0.05) with multimorbidity. Among men, at-risk alcohol consumption was associated with lower odds of multimorbidity. On the other hand, current or past smoking and insufficient physical activity were associated with greater odds of this condition. In addition, the presence of three or four unhealthy lifestyle factors was associated with greater odds of multimorbidity among men. The results reinforce the need for interventions to promote healthy behaviors among older men with two or more chronic diseases. In addition, it is evident that the health services need to act in an attempt to modify unhealthy behaviors after medical diagnosis of chronic diseases to reduce the risk of future complications.

Association between chronic diseases, multimorbidity and insufficient physical activity among older adults in southern Brazil: a cross-sectional study

BACKGROUND

Being active has been shown to have beneficial effects for the health of individuals with chronic diseases. However, data on the association between multimorbidity and physical activity are limited.

OBJECTIVE

To investigate the association between chronic diseases, multimorbidity and insufficient physical activity among older adults in southern Brazil, according to sex.

DESIGN AND SETTING

Cross-sectional population-based and household-based study derived from the second wave (2013-2014) of the EpiFloripa Aging Cohort Study.

METHODS

Insufficiency of physical activity (outcome) was ascertained using the long version of the International Physical Activity Questionnaire (≤ 150 minutes/week). Eleven self-reported chronic diseases were identified. Multimorbidity was defined from the number of chronic diseases (none; 2 or 3; or 4 or more). The adjustment variables were age, schooling, marital status, income, smoking, alcohol consumption and cognition. Additionally, each chronic disease was adjusted for the others. Associations were tested using logistic regression (crude and adjusted).

RESULTS

Among the 1197 participants (≥ 63 years), women (54.0%) were more likely than men (39.6%) to be insufficiently active. In the adjusted analysis, women and men with depressive symptoms, and men with diabetes, were more likely to be insufficiently active than those without symptoms. Multimorbid women were more likely to be insufficiently active, and the magnitude of the effect was strongest for 4 or more diseases.

CONCLUSION

This study indicates that the associations were sex-specific. Depressive symptoms and multimorbidity were associated with insufficient physical activity among women, while diabetes was associated with insufficient physical activity among men.

Multimorbidity, Function, and Cognition in Aging

Multimorbidity is a global health challenge. Here, we define multimorbidity, describe ways multimorbidity is measured, discuss the prevalence of multimorbidity and how it differs across different populations, examine mechanisms of disease and disability, and discuss the effects of multimorbidity on outcomes such as survival and function.

Longitudinal association of type 2 diabetes and insulin therapy with muscle parameters in the KORA-Age study

AIMS

The aim of the current study was to investigate the association of type 2 diabetes (T2D) and insulin treatment with changes in muscle mass, muscle strength, and physical performance in older adults.

METHODS

In 731 participants of the population-based KORA-Age study aged 74.6 ± 6.2 years (T2D: n = 118; insulin treatment: n = 20), skeletal muscle index (SMI [kg/m²]), hand grip strength (GS [kg]), and a timed up and go test (TUG [s]) were performed at baseline and after a follow-up time of 3 years. The association of T2D and insulin therapy with changes in muscle parameters was analyzed using linear regression models.

RESULTS

After adjustment for sex, age, BMI, physical activity, smoking, and multimorbidity, T2D was associated with the change in SMI during follow-up (β - 0.1 (95% CI - 0.3 to - 0.02) kg/m²; p = 0.02), but not with a change in GS (β - 0.9 (95% CI - 1.9 to 0.04) kg) or TUG (β - 0.1 (95% CI - 0.7 to 0.5) s). Insulin therapy was positively associated with change in SMI (β 0.6 (95% CI 0.3-0.9) kg/m²; p = 0.001), but not in GS (β - 1.6 (95% CI - 4.1 to 0.8) kg) or TUG (β 1.6 (95% CI - 0.2-3.4) s) in comparison with treatment with oral anti-diabetic medication alone.

CONCLUSIONS

Participants with T2D showed an accelerated decline in muscle mass compared to non-diabetic participants. Insulin therapy was associated with preserved muscle mass, but not muscle function parameters, indicating a discrepancy between muscle mass and function in this high-risk population.

The patterns of Non-communicable disease Multimorbidity in Iran: A Multilevel Analysis

The prevalence of non-communicable diseases is increasing worldwide. Multimorbidity and long-term medical conditions is common among these patients. This study aimed to investigate the patterns of non-communicable disease multimorbidity and their risk factors at the individual and aggregated level. Data was inquired from the nationwide survey performed in 2011, according to the WHO stepwise approach on NCD risk factors. A latent class analysis on multimorbidity components (11 chronic diseases) was performed and the association of some individual and aggregated risk factors (urbanization) with the latent subclasses was accessed using multilevel multinomial logistic regression. Latent class analysis revealed four distinct subclasses of multimorbidity among the Iranian population (10069 participants). Musculoskeletal diseases and asthma classes were seen in both genders. In males, the odds of membership in the diabetes class was 41% less by increasing physical activity; but with increased BMI, the odds of membership in the diabetes class was 1.90 times higher. Tobacco smoking increased the odds of membership in the musculoskeletal diseases class, 1.37 and 2.30 times for males and females, respectively. Increased BMI and low education increased the chances of females' membership in all subclasses of multimorbidity. At the province level, with increase in urbanization, the odds of membership in the diabetes class was 1.28 times higher among males (P = 0.027). Increased age, higher BMI, tobacco smoking and low education are the most important risk factors associated with NCD multimorbidity among Iranians. Interventions and policies should be implemented to control these risk factors.

Physical multimorbidity and sedentary behavior in older adults: Findings from the Irish longitudinal study on ageing (TILDA)

BACKGROUND

Physical multimorbidity, defined as the presence of two or more chronic physical conditions, is widespread and reduces life expectancy and quality of life in older adults. Sedentary behavior (SB) is increasingly identified as a risk factor for a range of chronic physical conditions, independent of physical activity.

OBJECTIVES

To investigate associations between physical multimorbidity and SB in older adults.

STUDY DESIGN

We used cross-sectional data from a population-based sample of 6903 adults aged ≥50 years who participated in the Irish Longitudinal Study on Ageing (TILDA) in 2009-2011. We conducted multivariable linear and logistic regression analyses to assess associations between multimorbidity and SB.

MAIN OUTCOME MEASURES

Self-reported minutes/day of SB and high SB (≥ 8 h/day).

RESULTS

We found that most of the 14 individual chronic physical conditions included here were associated with greater SB. Those with stroke (OR = 2.63, 95 % CI = 1.69, 4.10) and cirrhosis (OR = 2.53, 95 %CI = 1.19, 5.41) were the most likely to be classified with high SB. Time spent in SB and the prevalence of high SB increased linearly with number of chronic conditions. Multivariable regression models adjusting for sociodemographic and psychological factors, disability, social network, and physical activity showed that, compared with people with none, those with ≥4 chronic physical conditions had 1.45 times greater odds (OR = 1.45, 95 % CI = 1.09, 1.93) of high SB and higher mean minutes/day of SB (β = 21.37, 95 % CI = 5.53, 37.20).

CONCLUSIONS

Our results suggest that physical multimorbidity is associated with SB and highlight the need for prospective research to examine the directionality and mechanisms of these associations.

Identifying subgroups of community-dwelling older adults and their prospective associations with long-term knee osteoarthritis outcomes

OBJECTIVES

To identify subgroups of community-dwelling older adults and to assess their longitudinal associations with long-term osteoarthritis (OA) outcomes.

METHODS

1046 older adults aged 50-80 years were studied. At baseline, body mass index (BMI), pedometer-measured ambulatory activity (AA), and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) determined knee pain and information on comorbidities were obtained. Tibial cartilage volume and bone-marrow lesions (BMLs) were assessed using MRI at baseline and 10 years and total knee replacements (TKR) by data linkage to the Australian Orthopaedic Association National Joint Replacement Registry. Latent class analysis was used to determine participant subgroups, considering baseline BMI, AA, pain and comorbidities, and linear mixed-effects or log-binomial models were used to assess the associations.

RESULTS

Three subgroups/classes were identified: subgroup 1 (43%): Normal/overweight participants with higher AA, lower pain and lower comorbidities; subgroup 2 (32%): Overweight participants with lower AA, mild pain and higher comorbidities; subgroup 3 (25%): Obese participants with lower AA, mild pain and higher comorbidities. Subgroup 3 had greater cartilage volume loss (β - 60.56 mm³, 95% CI - 105.91, - 15.21) and a higher risk of TKR (RR 3.19, 95% CI 1.75, 5.81), compared to subgroup 1. Subgroup 2 was not associated with cartilage volume change (β 13.06 mm³, 95% CI - 30.87, 57.00) or risk of TKR (RR 1.16, 95% CI 0.56, 2.36), compared to subgroup 1. Subgroup membership was not associated with worsening BMLs.

CONCLUSIONS

Our findings suggest the existence of homogeneous subgroups of participants and support the utility of identifying patterns of characteristics/risk factors that may cluster together and using them to identify subgroups of people who may be at a higher risk of developing and/or progressing OA. Key Points • Complex interplay among characteristics/factors leads to conflicting evidence between ambulatory activity and knee osteoarthritis. • Distinct subgroups are identifiable based on ambulatory activity, body mass index, knee pain, and comorbidities. • Identifying subgroups can be used to determine those who are at risk of developing/progressing osteoarthritis.

Health behaviors and multimorbidity resilience among older adults using the Canadian Longitudinal Study on Aging

OBJECTIVE

Recently, there has been a growing interest in examining forms of illness-related resilience. This study examines associations between lifestyle behavioral factors and multimorbidity resilience (MR) among older adults.

METHODS

Using baseline data from the Comprehensive Cohort of the Canadian Longitudinal Study on Aging, we studied 6,771 Canadian adults aged 65 or older who reported two or more of 27 chronic conditions, and three multimorbidity clusters: cardiovascular/metabolic, osteo-related, and mental health. Associations were explored using hierarchical linear regression modeling, controlling for sociodemographic, social/environmental, and illness context covariates.

RESULTS

Among older adults with two or more illnesses, as well as the cardiovascular/metabolic and osteo-related illness clusters, having a non-obese body mass, being a non-smoker, satisfaction with quality of sleep, having a good appetite, and not skipping meals are associated with MR. However, the mental-health cluster resulted in different behavioral lifestyle associations, where MR was not associated with obesity, smoking, or appetite, but inactivity demonstrated moderate positive associations with MR.

DISCUSSION

While there are similar patterns of lifestyle behaviors across multimorbidity and multimorbidity clusters involving physiological chronic illnesses, those associated with mental health are distinct. The results have implications for healthy aging among persons coping with multimorbidity.

Patterns of physical activity and health-related quality of life amongst patients with multimorbidity in a multi-ethnic Asian population

Background

The co-occurrence of two or more chronic medical conditions in an individual is defined as multimorbidity. Lifestyle factors, including poor dietary patterns, physical inactivity, tobacco use, and excessive alcohol consumption are key modifiable risk factors that play a role in the development of chronic medical conditions and potentially multimorbidity. The current study aimed to examine the level of physical activity among those with multimorbidity and its association with socio-demographic factors, clinical parameters, and health-related quality of life (HRQoL) among community-dwelling adults attending a primary care clinic in Singapore.

Methods

This cross-sectional study was conducted among patients with multimorbidity between August 2014 and June 2016. Physical activity was measured using the International Physical Activity Questionnaire (IPAQ) Short Form. HRQoL was measured using the EuroQol-5 Dimension (EQ-5D-3 L). Data on clinical parameters including hemoglobin A1c (HbA1C), low-density lipoprotein cholesterol (LDL-C), and blood pressure were collected from patient records. Multivariable logistic regression analysis and linear regression were performed to determine the association between IPAQ and clinical health outcomes, as well as HRQoL measures, respectively.

Results

In all, 932 respondents with multimorbidity were recruited for the study. Of these, 500 (53.8%) had low physical activity, 325 (35.0%) had moderate physical activity, while 104 (11.2%) had high physical activity. Respondents who were insufficiently active had significantly higher odds of being overweight/ obese (OR: 1.5, 95% confidence interval [CI]: 1.1–1.9, p = 0.01) as compared to those who were sufficiently physically active. The multiple linear regression model revealed that insufficient activity level was negatively associated with EQ-5D index score (β = − 0.05, p <  0.001) and the visual analogue scale (β = − 4.4, p <  0.001) measuring HRQoL as compared to sufficient activity levels in respondents with multimorbidity.

Conclusions

The low levels of physical activity among patients with multimorbidity, and its association with overweight status and poorer HRQoL emphasizes the importance of increasing physical activity in this population. Family physicians treating patients with chronic diseases need to continue encouraging and helping individuals to initiate and maintain appropriate physical activity levels.

Health behaviour, social support, socio-economic status and the 5-year progression of multimorbidity: Results from the MultiCare Cohort Study

Background:

Multimorbidity in elderly patients is a major challenge for physicians, because of a high prevalence of and associations with many adverse outcomes. However, the mechanisms of progressing multimorbidity are not well-understood. The aim of our study was to determine if the progression of multimorbidity is influenced by health behaviour and social support and to analyse if the patients’ socio-economic status had an effect on these prognostic factors.

Methods:

The study was designed as prospective cohort study based on interviews of 158 GPs and 3189 patients randomly selected from GP records (response rate: 46.2%). Patients were aged 65–85 years at recruitment and observed in four waves of data collection (dropout rate: 41.5%). Statistical analyses of the ‘hot deck’ imputed data included multilevel mixed-effects linear regression allowing for random effects at the study centre and GP practice within study centre level.

Results:

Regarding cardiovascular and metabolic diseases, multimorbidity progressed more rapidly in patients who reported less physical activity (ß = −0.28; 95% confidence interval = −0.35 to −0.20), had more tobacco-related pack years (0.15; 0.07–0.22) and consumed less alcohol (−0.21; −0.31 to −0.12) at baseline. Multimorbidity related to psychiatric and pain-related disorders progressed more rapidly if the patients had less perceived social support (−0.31; −0.55 to −0.07) and reported less physical activity (−0.08; −0.15 to −0.02) at baseline. Education and income only slightly modified the effects of these variables.

Conclusion:

Depending on the multimorbidity cluster, different strategies should be used for slowing down the progression of multimorbidity. Changing lifestyle and increasing social support are beneficial for the entire group of elderly multimorbid patients – regardless of their socio-economic status.

Registration:

ISRCTN89818205

The prevalence of cardiometabolic multimorbidity and its association with physical activity, diet, and stress in Canada: evidence from a population-based cross-sectional study

Background

Cardiometabolic multimorbidity (CM) is defined as having a diagnosis of at least two of stroke, heart disease, or diabetes, and is an emerging health concern, but the prevalence of CM at a population level in Canada is unknown. The objectives of this study were to quantify the: 1) prevalence of CM in Canada; and 2) association between CM and lifestyle behaviours (e.g., physical activity, consumption of fruits and vegetables, and stress).

Methods

Using data from the 2016 Canadian Community Health Survey, we estimated the overall and group prevalence of CM in individuals aged ≥50 years (n = 13,226,748). Multiple logistic regression was used to quantify the association between CM and lifestyle behaviours compared to a group without cardiometabolic conditions.

Results

The overall prevalence of CM was 3.5% (467,749 individuals). Twenty-two percent (398,755) of people with diabetes reported having another cardiometabolic condition and thus CM, while the same was true for 32.2% (415,686) of people with heart disease and 48.4% (174,754) of stroke survivors. 71.2% of the sample reported eating fewer than five servings of fruits and vegetables per day. The odds of individuals with CM reporting zero minutes of physical activity was 2.35 [95% CI = 1.87 to 2.95] and having high stress was 1.89 [95% CI = 1.49 to 2.41] times the odds of the no cardiometabolic condition reference group. The odds of individuals with all three cardiometabolic conditions reporting zero minutes of physical activity was 4.31 [95% CI = 2.21 to 8.38] and having high stress was 3.93 [95% CI = 2.03 to 7.61].

Conclusion

The number of Canadians with CM or at risk of CM is high and these individuals have lifestyle behaviours that are associated with adverse health outcomes. Lifestyle behaviours tend to diminish with increasing onset of cardiometabolic conditions. Lifestyle modification interventions focusing on physical activity and stress management for the prevention and management CM are warranted.

Do Older Adults with Multimorbidity Meet the Recommended Levels of Physical Activity? An Analysis of Scottish Health Survey

There is a positive association between physical activity (PA) and improved health in older adults. The objective of this study was to assess the prevalence and determinants of meeting recommended levels of PA among older adults with multimorbidity. Data has been derived from the nationally representative Scottish Health Surveys (2014–2017). A sub-sample of 2230 older adults (aged 65+) with multimorbidity were the study participants. Physical activity was evaluated using current recommended guidelines. Overall, 32.3% of the participants met the recommended levels of PA. Independent predictors of meeting the recommended levels of PA include male gender [odds ratio (OR) 2.00 (95% confidence interval (CI) 1.58–2.54)], living in the least deprived areas [OR 1.79 (95% CI 1.20–2.69)]; being a non-smoker [OR 2.22 (95% CI 1.48–3. 34)]. Also, meeting recommended PA decreased with age [OR 0.92 (95% CI 0.90–0.94)] and body mass index [OR 0.93 (95% CI 0.91–0.95]; but increased per additional portion of fruit and vegetables taken [OR 1.19 (95% CI 1.12–1.25)] and with increase in well-being scale score [OR 1.05 (95% CI 1.03 to 1.06)]. Adherence to PA guidelines seems to be more related to age, BMI, gender (i.e. higher PA adherence in men vs. women), social support (i.e. social deprivation), dietary habits (i.e. fruit and vegetable intake) and social isolation among the elderly. In the one-third of older population, adherence to PA was associated to better mental health. Therefore, adaptation of PA guideline to suit theses determinants factors would reduce the gap difference among older adults with multimorbidity and enhance their mental well-being.

What Is the Impact of Physical Activity and Physical Function on the Development of Multimorbidity in Older Adults Over Time? A Population-Based Cohort Study

Background

Multimorbidity is recognized internationally as having a serious impact on health outcomes. It is associated with reduced quality of life, increased health care utilization, and future functional decline. Physical activity is associated with good health and psychological well-being. The aim of this study was to identify the impact of physical activity and physical function on the development and worsening of multimorbidity over time.

Methods

Using The Irish Longitudinal Study on Ageing (TILDA), we analyzed 4,823 participants ≥50 years with and without multimorbidity. Multimorbidity was defined as the presence of ≥2 chronic conditions. Development of multimorbidity was measured as the accrual of additional conditions over a 2-year period. Physical activity and physical function were measured using the International Physical Activity Questionnaire (IPAQ), gait speed (m/sec), and grip strength (kg).

Results

Sixteen groups of chronic conditions were included in analyses. 53.7% of included participants had multimorbidity at baseline and 71.7% at follow-up. Six hundred and thirty-eight of 2,092 (30.4%) participants without multimorbidity and 1,005 of 2,415 (41.6%) with existing multimorbidity developed new condition/s. Gait speed (relative risk [RR] = 0.67, confidence interval [CI]: 0.49–0.90), grip strength (RR = 0.98, CI: 0.97–0.99), and age (compared to 50–59 years, 60–69: RR = 1.30, CI: 1.11–1.52; ≥70: RR = 1.35, CI: 1.03–1.77) were significantly associated with the development of multimorbidity and accrual of additional conditions.

Conclusion

These results show that physical function is associated with the development and worsening of multimorbidity over time. They support the recent National Institute for Health & Care Excellence (NICE) Guidance on multimorbidity that suggests that patients with multimorbidity and reduced gait speed should be identified and targeted for interventions to improve health outcomes.

Device-Assessed Physical Activity and Sedentary Behaviors in Canadians with Chronic Disease(s): Findings from the Canadian Health Measures Survey

Physical activity and sedentary behaviors (SB) are major determinants of quality of life in adults with one or more chronic disease(s). The aim of this study is to compare objectively measured physical activity and SB in a representative sample of Canadian adults with and without chronic disease(s). The Canadian Health Measures Survey (CHMS) (2007-2013) was used in this study. Daily time spent in physical activities and sedentary behaviors were assessed by an accelerometer in Canadians aged 35-79 years. Data are characterized as daily mean time spent in moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), steps accumulated per day and SB. Chronic diseases (chronic obstructive pulmonary disease, diabetes, heart diseases, cancer) were assessed via self-report diagnostic or laboratory data. Weighted multivariable analyses of covariance comparing physical activity and SB variables among adults without and with chronic disease(s) were conducted; 6270 participants were included. Analyses indicated that 23.9%, 4.9% and 0.5% had one, two, and three or more chronic diseases. Adults with two and more chronic diseases had significantly lower daily duration of MVPA and LPA, daily step counts, and higher daily duration of SB compared to adults without chronic diseases. Interventions targeting physical activity improvement and SB reduction might be beneficial for Canadian multimorbid adults.

Perception of parks and trails as mobility facilitators and transportation walking in older adults: a study using digital geographical maps

BACKGROUND

Transportation walking represents a promising target for physical activity promotion in older adults. Perceived characteristics of the neighbourhood physical environment may affect older adults' choice of transportation mode for a routine activity such as walking to the grocery store.

AIMS

To (1) evaluate associations between older adults' perception of parks and trails as outdoor mobility facilitators and transportation walking, specifically to the grocery store; and (2) explore whether the spatial relationship between people's home, perceived facilitator and store was relevant for their transportation choice.

METHODS

Cross-sectional data were collected in a subsample of the 'Life-space mobility in old age' cohort. Multivariable logistic regression analysis on the binary outcome 'transportation walking' (vs. 'motorized transportation') was used to evaluate the association with perceived mobility facilitators in the neighborhood; in step (1) without and in step (2) with taking spatial relationships into account.

RESULTS

Perceiving a park as facilitator increased the odds of walking (N = 179; Odds Ratio 9.89; 95% Confidence interval 3.11-31.50). Spatial relationships did not affect transportation choice. Reporting a trail as facilitator was not significantly associated with walking.

CONCLUSIONS

Our findings suggest that the perception of environmental characteristics in the neighbourhood has an influence on older people's transportation choices. Taking environmental measures or informing older adults on their options in the neighbourhood might be possible ways to increase older adults' transportation walking on a population level.

John P, Menec V. The prevalence of multimorbidity and associations with lifestyle factors among middle-aged Canadians: an analysis of Canadian Longitudinal Study on Aging data

BACKGROUND

Multimorbidity can be defined as the presence of more than one chronic condition in an individual. Research on multimorbidity has predominantly focused on older adults and few studies have examined multimorbidity in middle-aged people. The objectives of this study were to: 1) examine the prevalence of multimorbidity among middle-aged Canadians; and 2) examine the association between lifestyle factors (smoking, alcohol intake, physical activity) and multimorbidity in this age group.

METHODS

In this analysis of the Canadian Longitudinal Study on Aging (CLSA) baseline data, we extracted data from 29,841 participants aged 45-64 years from a database of 51,338 people aged 45-85 years. Self-reported data on 27 chronic physical health conditions were used to derive different multimorbidity definitions. We estimated the prevalence of 3+ to 5+ chronic physical health conditions in different subgroups for descriptive purposes. Multivariable logistic regression analyses were performed to determine the association between socio-demographic and lifestyle factors, and multimorbidity using a 3+ multimorbidity case definition.

RESULT

We found that 39.6% (99% CI 38.4-40.7) of participants had three or more chronic conditions with a mean number of chronic condition of 2.41 (99% CI 2.37-2.46). The prevalence of multimorbidity increased with age from 29.7% in the 45-49-year-old age group to 52% in individuals aged 60-64 years. The prevalence of 4+ and 5+ chronic conditions was 24.5 and 14.2% respectively. Analyses indicated that female sex and low income were associated with higher odds of multimorbidity, whereas daily or weekly alcohol intake were associated with lower odds of multimorbidity. Exercise was not associated with multimorbidity. Results were similar when analyses were conducted separately for women and men.

CONCLUSIONS

Multimorbidity is not limited to older adults, but is a common phenomenon among middle-aged people. Longitudinal research is needed to better understand the temporal relationship between lifestyle factors and multimorbidity.

Movement through Active Personalised engagement (MAP) - a self-management programme designed to promote physical activity in people with multimorbidity: study protocol for a randomised controlled trial

Background

Multimorbidity, defined as two or more concurrent chronic diseases within the same individual, is becoming the clinical norm within primary care. Given the burden of multimorbidity on individuals, carers and health care systems, there is a need for effective self-management programmes. Promoting active participation within their clinical care and following a healthy lifestyle will help empower patients and target lifestyle factors that are exacerbating their conditions. The aim of this study is to establish whether a tailored, structured self-management programme can improve levels of physical activity at 12 months, in people with multimorbidity.

Methods/design

This study is a single-centre randomised controlled trial, with follow-up at 6 and 12 months. The primary outcome is change in objectively assessed average daily physical activity at 12 months. Secondary outcomes include medication adherence, lifestyle behaviours, quality of life, chronic disease self-efficacy and self-efficacy for exercise. Anthropometric and clinical measurements include blood pressure, muscle strength, lipid profile, kidney function and glycated haemoglobin (HbA1c). Participants are recruited from primary care. Those between 40 and 85 years of age with multimorbidity, with a good understanding of written and verbal English, who are able to give informed consent, have access to a mobile phone for use in study activities and are able to walk independently will be invited to participate. Multimorbidity is defined as two or more of the chronic conditions listed in the Quality and Outcomes Framework. A total of 338 participants will be randomly assigned, with stratification for gender and ethnicity, to either the control group, receiving usual care, or the intervention group, who are invited to the Movement through Active Personalised engagement programme. This involves attending four group-based self-management sessions aimed at increasing physical activity, mastering emotions, managing treatments and using effective communication. The sessions are delivered by trained facilitators, and regular text messages during the study period provide ongoing support. Changes in primary and secondary outcomes will be assessed, and an economic evaluation of the intervention undertaken.

Discussion

This study will provide new evidence on whether physical activity can be promoted alongside other self-management strategies in a multimorbid population and whether this leads to improvements in clinical, biomedical, psychological and quality of life outcomes.

Trial registration

ISRCTN, ISRCTN 42791781. Registered on 14 March 2017.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-2939-2) contains supplementary material, which is available to authorized users.

Childhood adversity: A gateway to multimorbidity in older age?

BACKGROUND

Multimorbidity, or co-occurrence of several chronic diseases, has major consequences in terms of function, quality of life and mortality. Recent advances suggest that the aetiology of multimorbidity includes a life-long process. The purpose of this study was to determine the association between childhood adversity and multimorbidity in community-dwelling older adults, and to investigate variation in participants born immediately before, during and at the end of the Second World War.

METHODS

Participants were 4731 community-dwelling older adults who enrolled in the Lausanne cohort 65+ study (Switzerland) at age 65-70 years in 2004/2009/2014. A baseline questionnaire provided several indicators of childhood adversity including premature birth, food restrictions, child labour, family economic environment, serious illness/accident, and stressful life events. Multimorbidity at age 67-72 years was defined as ≥2 active chronic diseases at the 2-year follow-up questionnaire.

RESULTS

All childhood adversity indicators except premature birth were significantly associated with multimorbidity. Odds ratio (OR) ranged from 1.23 (P = 0.034) for poor family economic environment to 1.74 (P < 0.001) for stressful life events. In a multivariable model adjusted for socioeconomic status, health behaviours and stressful life events in adulthood (>16 years), a history of serious illness/accident (OR = 1.45; P < 0.001) and stressful life events (OR = 1.42; P = 0.001) in childhood remained significantly associated with multimorbidity. Comparisons between cohorts indicated substantial variations in the prevalence of childhood adversity indicators but similar associations with multimorbidity.

CONCLUSION

There was an independent association between childhood adversity and multimorbidity after age 65. This study encourages a comprehensive life-course perspective to better understand and potentially prevent multimorbidity.

Change in physical activity level and clinical outcomes in older adults with knee pain: a secondary analysis from a randomised controlled trial

Background

Exercise interventions improve clinical outcomes of pain and function in adults with knee pain due to osteoarthritis and higher levels of physical activity are associated with lower severity of pain and higher levels of physical functioning in older adults with knee osteoarthritis in cross-sectional studies. However, to date no studies have investigated if change in physical activity level during exercise interventions can explain clinical outcomes of pain and function. This study aimed to investigate if change in physical activity during exercise interventions is associated with future pain and physical function in older adults with knee pain.

Methods

Secondary longitudinal data analyses of a three armed exercise intervention randomised controlled trial. Participants were adults with knee pain attributed to osteoarthritis, over the age of 45 years old (n = 514) from Primary Care Services in the Midlands and Northwest regions of England.

Crude and adjusted associations between absolute change in physical activity from baseline to 3 months (measured by the self-report Physical Activity Scale for the Elderly (PASE)) and i) pain ii) physical function (Western Ontario and McMaster Universities Osteoarthritis Index) and iii) treatment response (OMERACT-OARSI responder criteria) at 3 and 6 months follow-up were investigated using linear and logistic regression.

Results

Change in physical activity level was not associated with future pain, function or treatment response outcomes in crude or adjusted models at 3 or 6 months (P > 0.05). A 10 point increase in PASE was not associated with pain β = − 0.01 (− 0.05, 0.02), physical function β = − 0.09 (− 0.19, 0.02) or likelihood (odds ratio) of treatment response 1.02 (0.99, 1.04) at 3 months adjusting for sociodemographics, clinical covariates and the trial intervention arm. Findings were similar for 6 month outcome models.

Conclusions

Change in physical activity did not explain future clinical outcomes of pain and function in this study. Other factors may be responsible for clinical improvements following exercise interventions. However, the PASE may not be sufficiently responsive to measure change in physical activity level. We also recommend further investigation into the responsiveness of commonly used physical activity measures.

Trial registration

(ISRCTN93634563). Registered 29th September 2011.

Electronic supplementary material

The online version of this article (10.1186/s12891-018-1968-z) contains supplementary material, which is available to authorized users.

Exercise merging physical and cognitive stimulation improves physical fitness and cognitive functioning in older nursing home residents: a pilot study

The main purpose of this pilot study was to examine the feasibility and the effects of a multimodal exercise intervention on the physical and cognitive functioning of institutionalized older people. Twenty-one older adults (83.5 ± 4.9 years) living in two nursing home residences, were tested on two occasions 4 weeks apart to establish a baseline measure, and then engage in the exercise program twice weekly for 8 weeks. Participants were tested again after the exercise program. Almost all physical fitness and cognitive tests were unchanged at baseline measures, but after the exercise program, significant improvements (p < 0.05) were found in all physical fitness variables (strength, cardiorespiratory endurance, flexibility and balance) and in the majority of cognitive variables (visual attention, executive functioning and information processing speed). Exercise merging physical and cognitive stimulation could have broad impacts in the individual's level of functioning and should be promoted in nursing home residences for the elderly.

Combined Healthy Behaviors and Healthcare Services Use in Older Adults

INTRODUCTION

Data on the combined impact of healthy behaviors on healthcare use in older adults are limited.

METHODS

Study with community-dwelling individuals aged ≥60 years from the Spanish Seniors-ENRICA cohort, recruited in 2008-2010, followed through 2012-2013, and analyzed in 2016 (N=2,021). At baseline, the following healthy behaviors were self-reported: three traditional (never smoking, being physically active, having a healthy diet) and three emerging (sleeping 7-8 hours/day, sitting <8 hours/day, not living alone). Outcomes were self-reported polypharmacy (five or more drugs per day), primary care physician visits (one or more per month), medical specialist visits (more than one per year), and hospitalization (one or more in the last year). The associations between baseline healthy behaviors and healthcare services used in 2012-2013 were summarized with ORs and 95% CIs from multiple logistic regression, adjusting for demographics, lifestyles, comorbidities, and baseline health services used.

RESULTS

Most single healthy behaviors were associated with lower use of most health services. Compared with participants with zero or one healthy behavior, those with five or six healthy behaviors showed lower risk of polypharmacy (OR=0.46, 95% CI=0.24, 0.85, p-trend=0.001), visits to the primary care physician (OR=0.50, 95% CI=0.26, 0.96, p-trend=0.013), and hospitalization (OR=0.50, 95% CI=0.24, 1.01, p-trend=0.016). No association was found with visits to the medical specialist.

CONCLUSIONS

The combination of five to six healthy behaviors in older adults is associated with half the risk of polypharmacy and using several healthcare services. In an era of constrained resources in most countries, this information may help inform health policy to control healthcare spending in the future.

Multimorbidity in Atlantic Canada and association with low levels of physical activity

Owing to an aging population and medical advances, the anticipated growth and prevalence of multimorbidity has been recognized as a significant challenge and priority in health care settings. Although physical activity has been shown to play a vital role in the primary and secondary prevention of chronic disease, much less is known about the relationship between physical activity and multimorbidity. The objective of the present study was to examine the relationship between physical activity levels and multimorbidity in male and female adults after adjusting for key demographic, geographical, and lifestyle factors. The study drew data from a prospective cohort in Atlantic Canada (2009-2015). The sample included 18,709 participants between the ages of 35-69. Eighteen chronic diseases were identified. Physical activity levels were estimated based on the long form of the International Physical Activity Questionnaire. Using logistic regression analysis, we found that multimorbid individuals were significantly more likely to be physically inactive (OR=1.26; 95% CI 1.10, 1.44) after adjusting for key sociodemographic and lifestyle characteristics. Additional stratified analyses suggest that the magnitude of the effect between multimorbidity and physical activity was stronger for men (OR=1.41; 95% CI 1.12, 1.79) than women (OR=1.18; CI 1.00, 1.39) and those living in rural (OR=1.43; CI 1.10, 1.85) versus urban (OR=1.20; CI 1.02, 141) areas. Given the generally low levels of physical activity across populations and a growing prevalence of multimorbidity, there is a need for a prospective study to explore causal associations between physical activity, multimorbidity, and health outcomes.

Dyadic effects of depressive symptoms on medical morbidity in middle-aged and older couples

OBJECTIVE

Depressive symptoms in middle and later life are associated with an increased risk of greater medical morbidity (i.e., number of chronic health conditions). Yet little is known about mutual influences that may occur within married couples. This study examined the effects of wives' and husbands' depressive symptoms on their own and their partner's number of chronic health conditions over an 8-year period. It was also determined whether these effects varied by gender.

METHOD

The U.S. sample included 992 heterosexual couples (M = 63.58 years at baseline) drawn from 5 waves of the Health and Retirement Study (2006-2014). Dyadic growth curve models were estimated to evaluate the effects of own and partner baseline depressive symptoms on medical morbidity across time. Models controlled for baseline marital duration and negative marital quality along with age, education, minority status, health-related self-efficacy, body mass index, disability status, alcohol use, smoking, and moderate and vigorous physical activity.

RESULTS

Husbands' higher baseline depressive symptoms were significantly linked to their own higher number of chronic conditions. When wives had higher depressive symptoms at baseline, husbands showed significantly greater increases in their number of chronic conditions over time. Own and partner depressive symptoms were not significantly associated with baseline levels or changes in wives' number of chronic conditions.

CONCLUSIONS

This study demonstrates that depressive symptoms within middle-aged and older couples may have long-term associations with medical morbidity. Findings underscore the value of considering the implications of depressive symptoms for chronic health conditions among individuals and couples. (PsycINFO Database Record

The contribution of musculoskeletal disorders in multimorbidity: Implications for practice and policy

People frequently live for many years with multiple chronic conditions (multimorbidity) that impair health outcomes and are expensive to manage. Multimorbidity has been shown to reduce quality of life and increase mortality. People with multimorbidity also rely more heavily on health and care services and have poorer work outcomes. Musculoskeletal disorders (MSDs) are ubiquitous in multimorbidity because of their high prevalence, shared risk factors, and shared pathogenic processes amongst other long-term conditions. Additionally, these conditions significantly contribute to the total impact of multimorbidity, having been shown to reduce quality of life, increase work disability, and increase treatment burden and healthcare costs. For people living with multimorbidity, MSDs could impair the ability to cope and maintain health and independence, leading to precipitous physical and social decline. Recognition, by health professionals, policymakers, non-profit organisations, and research funders, of the impact of musculoskeletal health in multimorbidity is essential when planning support for people living with multimorbidity.

Physical chronic conditions, multimorbidity and sedentary behavior amongst middle-aged and older adults in six low- and middle-income countries

Background

Sedentary behavior (SB) is, irrespective of a person’s physical activity levels, associated with a wide range of deleterious outcomes such as diabetes, stroke and associated premature mortality. There are no nationally representative, multi-national, population-based studies investigating the relationship between SB, chronic conditions, and physical multimorbidity (i.e., two or more chronic physical conditions). Thus, this cross-sectional study aimed to assess the association between chronic conditions, physical multimorbidity and SB among community-dwelling adults in six low- and middle-income countries (LMICs). We also explored the influential factors of these relationships.

Method

The Study on Global Ageing and Adult Health (SAGE) survey included 34,129 adults aged ≥50 years. SB was self-reported and expressed as a categorical variable [<8 or ≥8 h per day (high SB)]. Eleven chronic physical conditions (angina, arthritis, asthma, chronic back pain, chronic lung disease, diabetes, edentulism, hearing problems, hypertension, stroke, visual impairment) were assessed. Multivariable logistic regression and mediation analyses were conducted.

Results

The prevalence of physical multimorbidity and high SB (≥8 h/day) were 45.5% (43.7%–47.4%) and 10.8% (9.7%–12.1%), respectively. The prevalence of high SB increased in a linear fashion from 7.1% in people with no chronic condition to 24.1% in those with ≥4 chronic conditions. In the multivariable analysis, visual impairment (OR = 2.62), stroke (OR = 2.02), chronic back pain (OR = 1.70) hearing problems (OR = 1.58), chronic lung disease (OR = 1.48), asthma (OR = 1.39), arthritis (OR = 1.22) and multimorbidity (OR = 1.41) were significantly associated with high SB. Disability explained more than 50% of the association for all chronic conditions with particularly high percentages (>80%) for arthritis, asthma, and multimorbdity. Mobility problems explained 88.1% and 85.1% of the association of SB with arthritis and physical multimorbidiy, respectively. Pain was highly influential in the SB-arthritis relationship (85.6%). Sleep/energy problems explained between 9.3% (stroke) to 49.1% (arthritis) of the association, and cognitive problems from 21.5% (stroke) to 33.4% (hearing problems). Findings for anxiety and depression were mixed.

Conclusion

In LMICs, those with chronic conditions and physical multimorbidity are significantly more sedentary. Targeted messages to reduce time spent sedentary among individuals with chronic conditions may ameliorate associated disability, mobility difficulties and pain that are themselves the most important risk factors for SB.

Electronic supplementary material

The online version of this article (10.1186/s12966-017-0602-z) contains supplementary material, which is available to authorized users.

Male sex and poverty predict abrupt health decline: Deficit accumulation patterns and trajectories in the KORA-Age cohort study

Ageing individuals differ both in their deficit accumulation (DA) trajectories and resulting DA patterns (improvement, stability, gradual or abrupt decline). This heterogeneity is still incompletely understood. The objectives of this study were thus to identify determinants of DA trajectories and DA patterns in people aged 65 and older. Data originates from the 2009 baseline assessment and 2012 follow-up of the KORA (Cooperative Health Research in the Region of Augsburg)-Age study from Southern Germany. DA was measured with a Frailty Index (FI). The effects of socio-demographic, socio-economic and lifestyle factors were analyzed using generalized linear mixed models and multinomial regressions. FI scores were available for 1076 participants at baseline (mean age 76years, 50% female) and 808 participants at follow-up. Higher baseline FI levels were significantly associated with higher age, female sex, lower physical activity, moderate alcohol consumption and obesity. Longitudinal increase in FI levels over 3years was 31% (CL: [-3%; 77%]) independent of all examined predictors. The most frequent DA patterns were stability (59%) and gradual decline (30%). Compared to stability, higher age, male sex and low income predicted (mostly fatal) abrupt decline. In conclusion, several factors are associated with FI levels at baseline whereas the change in FI levels over time seems hardly modifiable. Thus, future research should investigate if the same factors predicting older-age FI levels constitute predictors of DA onset earlier in life. Towards the end of life, being male with low income may increase the risk for abrupt decline, indicating need for early detection.