Contextual and individual inequalities of multimorbidity in Brazilian adults: a cross-sectional national-based study

Complex multimorbidity in hemodialysis patients: Study in a metropolitan region in Brazil

The objective of this article was to analyze the factors associated with complex multimorbidity (CMM) among hemodialysis patients in a metropolitan region in southeastern Brazil. To this end, a cross-sectional epidemiological survey was carried out with 1,024 individuals in the year 2019. CMM data were collected through the application of a questionnaire to hemodialysis patients. The binary logistic regression model was used to estimate odds ratios (OR) and 95% confidence intervals (95%CI) between independent variables and CMM. The prevalence of CMM was 81% and the results indicated that: living in cities with a low rate of general mortality (OR = 0.395, 95%CI = 0.179-0.870), being aged between 18 and 29 (OR = 0.402, 95%CI = 0.196-0.825), having an elementary education (OR = 0.536, 95%CI = 0.290-0.966) and assessing health as good/very good (OR = 0.446, 95%CI = 0.301-0.661) are factors that reduced the chances of having CMM, whereas a longer period of hemodialysis (OR = 1.779 and 95%CI = 1.057-2.997) increased the chances of CMM. The findings show that characteristics of the social and individual context are associated with CMM in hemodialysis patients, signaling the need for public health policies that include monitoring the complex multimorbidity condition among individuals undergoing hemodialysis treatment.

Regular source of primary care and health services utilisation among Brazilian elderly with mental-physical multimorbidity

BACKGROUND

In ageing populations, multimorbidity is a complex challenge to health systems, especially when the individuals have both mental and physical morbidities. Although a regular source of primary care (RSPC) is associated with better health outcomes, its relation with health service utilisation in elderly patients with mental-physical multimorbidity (MP-MM) is scarce.

OBJECTIVE

This study explored the relations among health service utilisation, presence of RSPC and MP-MM among elderly Brazilians.

METHODS

A national cross-sectional study performed with data from national representative samples from the Brazilian National Health Research (PNS, in Portuguese; Pesquisa Nacional de Saúde) carried out in 2013 with 11,177 elderly Brazilian people. MP-MM was defined as the presence of two or more morbidities, including at least one mental morbidity, and was evaluated using a list of 16 physical and mental morbidities. The RSPC was analysed by the presence of regular font of care in primary care and health service utilisation according to the demand for health services ≤ 15 days, medical consultation ≤ 12 months, and hospitalisation ≤ 1 year. Frequency description of variables and bivariate association were performed using Stata v.15.2 software.

RESULTS

The majority of individuals was female (56.4%), and their mean age was 69.8 years. The observed prevalence of MP-MM was 12.2%. Individuals with MP-MM had higher utilisation of health services when compared to those without MP-MM. RSPC was present at 36.5% and was higher in women (37.8% vs. 34.9%). There was a lower occurrence of hospitalisation ≤ 1 year among MP-MM individuals with RSPC and without a private plan of health.

CONCLUSION

Our findings demonstrate that RSPC can be an important component of care in elderly individuals with MP-MM because it was associated with lower occurrence of hospitalisation, mainly in those that have not a private plan of health. Longitudinal studies are necessary to confirm these findings.

Prevalence of multimorbidity in Brazilian individuals: A population-based study

This study aimed to estimate the prevalence of multimorbidity in Brazilian individuals and its association with sociodemographic and lifestyle factors. This cross-sectional study used data from the National Health Survey conducted in 2019 with 88,531 Brazilian adults Multimorbidity is the presence of two or more non-communicable chronic diseases. Associated factors were assessed by calculating the prevalence ratio (PR) obtained using Poisson regression with robust variance. Multimorbidity was estimated in 29.9% (95%CI: 29.33% to 30.48%) of Brazilian individuals. In the multiple models, the prevalence was high in women (PR: 1.37; 95%CI: 1.32 to 1.42), individuals over 60 years (PR: 4.26; 95%CI: 3.87 to 4.69), non-employed (PR: 1.20; 95%CI: 1.15 to 1.26), individuals with obesity (PR: 1.49; 95%CI: 1.43 to 1.56), and smokers (PR: 1.24; 95%CI: 1.19 to 1.29). This study identified a high prevalence of multimorbidity and its association with sociodemographic and lifestyle factors. The monitoring of these outcomes may support the development of policies and services.

Physical activity among older adults with multimorbidity: Evidence from a population-based health survey

INTRODUCTION

The promotion of physical activity has been recognized as an important component in the management and prevention of multimorbidity, a condition that is increasing prevalent worldwide, including in Brazil. However, there is a scarcity of studies exploring the disparity in physical activity levels between individuals with and without multimorbidity. Therefore, the study aimed to estimate the prevalence of multimorbidity and physical activity among older adults, as well as analyze the relationship of a sufficient level of physical activity and multimorbidity, while considering sociodemographic characteristics of residents in São Paulo, Brazil.

MATERIALS AND METHODS

Data from 1.019 participants aged 60 years or older (59.7% female; mean age 69.7±7.7) were collected from the Health Survey (ISA-Capital, 2015) conducted in the city of São Paulo, Brazil. We defined multimorbidity as the presence of two or more chronic conditions, and for physical activity, classified a sufficient level (≥150 min/week). Prevalence Ratios (PR) with 95% Confidence Intervals (95%CI) were estimated using univariate and multivariate Poisson regression to examine the relationship between multimorbidity and sufficient level of physical activity.

RESULTS

67.7% of the participants lived with multimorbidity, while 30.1% had achieved a sufficient level of physical activity. There was a higher prevalence of sufficient level of physical activity among older adults with two (PR = 1.38; 95%CI 1.02-1.88) and four (PR = 1.37; 95%CI 1.00-1.87) chronic conditions. Older adults with multimorbidity who were 70 years or older (PR = 1.77; 95%IC 1.13-2.77), female (PR = 1.65; 95%CI 1.16-2.36), without a partner (PR = 1.43; 95%IC 1.03-1.99), and had a per capita income of 1 to 2.5 (PR = 1.83; 95%IC 1.00-3.33) were more likely to achieve a sufficient level of physical activity compared to their peers without multimorbidity.

CONCLUSIONS

The study highlights sociodemographic disparities in the sufficient level of physical activity among multimorbidity, suggesting the importance of considering these factors when planning public policies aimed at promoting physical activity.

A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods

OBJECTIVES

Multimorbidity, the presence of two or more long-term conditions, is a growing public health concern. Many studies use analytical methods to discover multimorbidity patterns from data. We aimed to review approaches used in published literature to validate these patterns.

STUDY DESIGN AND SETTING

We systematically searched PubMed and Web of Science for studies published between July 2017 and July 2023 that used analytical methods to discover multimorbidity patterns.

RESULTS

Out of 31,617 studies returned by the searches, 172 were included. Of these, 111 studies (64%) conducted validation, the number of studies with validation increased from 53.13% (17 out of 32 studies) to 71.25% (57 out of 80 studies) in 2017-2019 to 2022-2023, respectively. Five types of validation were identified: assessing the association of multimorbidity patterns with clinical outcomes (n = 79), stability across subsamples (n = 26), clinical plausibility (n = 22), stability across methods (n = 7) and exploring common determinants (n = 2). Some studies used multiple types of validation.

CONCLUSION

The number of studies conducting a validation of multimorbidity patterns is clearly increasing. The most popular validation approach is assessing the association of multimorbidity patterns with clinical outcomes. Methodological guidance on the validation of multimorbidity patterns is needed.

Could an optimally fitted categorization of difference between multi-disease score and multi-symptom score be a practical indicator aiding in improving the cost-effectiveness of healthcare delivery for older adults in developing countries?

BACKGROUND

Physio-psycho-socioeconomical health comprehensively declines during aging, the complexity of which is challenging to measure. Among the complexity, multiple chronic disorders continuously cumulated during aging, further aggravating the challenge.

METHODS

A population-based survey on Comprehensive Ageing Health Assessment was conducted in older adults (age >  = 60) enrolled from hospital settings and community settings in 13 working centers in six subnational regions in China. Cross-sectional datasets of 8,093 older participants with approximately complete assessment results were collected for the present analysis. Individual's multi-disease or multi-symptom was respectively scored by summing coexistent multiple diseases or multiple symptoms by respective weighting efficient for Self-Rated Health (SRH). Individual's age-dependent health decline was further summed of four SRH-weighted scores for daily function (activity of daily life, ADL), physical mobility (an average of three metrics), cognitive function (mini mental state examination, MMSE) and mental being (geriatric depression scale, GDS) plus multi-disease score (MDS) and multi-symptom score (MSS).Multi-disease patten among 18 diseases or multi-symptom pattern among 15 symptoms was latent-clustered in the older adults, the optimal outcome of which was categorized into high, moderate or low aging-associated clusters, respectively. Percentage distribution was compared between overall health decline score and multi-disease pattern cluster or multi-symptom patten cluster. A new variable of difference between MDS and MSS (hereinafter terming DMM) that displayed linear variation with socioeconomic factors was further fitted using multilevel regression analyses by substantial adjustments on individual confounders (level-1) and subnational region variation (level-2).

RESULTS

Consistent gradient distribution was shown between health decline and multimorbidity pattern cluster in the older adults. DMM was found linearly varied with personal education attainment and regional socioeconomic status. Using optimally fitted stratification of DMM (DMM interval = 0.02), an independent U-shaped interrelated tendency was shown between health decline, multi-disease and multi-symptom, which could be well explained by regional disparities in socioeconomic status.

CONCLUSION

Newly developed metrics for age-dependent health decline and aging-associated multimorbidity patten were preliminarily validated from within. The new variable of optimally fitted categorization of DMM might function as a practical indicator aiding in improving the cost-effectiveness and reduce inequity of healthcare delivery for older adults in developing countries.

Ethnic and geographic variations in multiple chronic conditions among community-dwelling older people in Xinjiang: a cross-sectional study

BACKGROUND

Multiple chronic conditions (MCC) refer to the presence of two or more chronic diseases. The incidence of MCC is higher in older people, and increases with age. Studies have shown an association between MCC and increased adverse outcome, as well as the higher mortality, decline of physical function, and poor quality of life in older populations. Herein, for the first time we provide the data of ethnic and geographic variations in the prevalence of MCC among community-dwelling older people in Xinjiang, China.

METHODS

A multilevel random sampling method was employed to perform an epidemiological survey in community-dwelling older adults in southern, northern, and eastern Xinjiang between January 2019 to December 2019. In total, 87,000 participants volunteered, with a response rate of 96.67%; 490 participants with incomplete data were excluded and data from 86,510 participants were analyzed.

RESULTS

Our analysis demonstrated that hypertension (51.5%), obesity (27.0%), diabetes (16.9%), heart disease (8.2%), and anxiety/depression (4.5%) were the five main chronic diseases in Xinjiang. The prevalence of MCC in the population surveyed was 33.4% (95%CI, 33.1-33.7). The prevalence in females was 36.6% (95%CI, 36.1-37), which was higher than that in male (30%,95%CI, 29.5-30.4). The prevalence of MCC in older people aged 60-69, 70-79, 80-89, and ≥ 90 years was 32.7% (95%CI, 32.2-33.3), 34.3% (95%CI, 33.9-34.7), 32.5% (95% CI, 31.7-33.3), and 25.9% (95% CI, 23.5-28.3) respectively. As far as the ethnic group was concerned, the prevalence of MCC in Uygur, Han, Kazak, Hui, and Mongolian was 31.3% (95%CI, 30.9-31.7), 34.4% (95%CI, 33.9-35), 40.4% (95%CI, 39.1-41.8), 40.8% (95%CI, 38.9-42.7), 44.4% (95%CI, 38.1-50.6), respectively. The prevalence of MCC was 32.8% (95%CI, 32.1-33.5), 31.7% (95%CI, 31.2-32.1), 36.0% (95%CI, 35.3-36.7) and 39.2% (95%CI, 38.1-40.3) among uneducated, educated for 1-6, 7-9, and more than 10 years. After adjusting for age, sex, smoking, alcohol consumption, and education by level, the binary logistic analysis showed that, compared with eastern Xinjiang, the risk of MCC in the southern area was increased (odds ratio [OR], 1.418; 95% confidence interval [CI], 1.367-1.471), and it was relatively higher in northern Xinjiang (OR, 2.021; 95% CI, 1.944-2.102). Compared with Uygur, Han, Kazakh, Hui and Mongolian had an increased risk of MCC, which was (OR, 1.075; 95% CI, 1.040-1.111), (OR, 1.414; 95% CI, 1.332-1.501), (OR, 1.515; 95% CI, 1.396-1.644), (OR, 1.566; 95% CI, 1.216-2.017), respectively.

CONCLUSIONS

There are ethnic and geographic variations in multiple chronic conditions among community-dwelling older people in Xinjiang. The older adults living in northern and southern Xinjiang and Han, Kazakh, Mongolian and Hui older adults have a higher risk of MCC.

The Multimorbidity and Lifestyle Correlates in Chinese Population Residing in Macau: Findings from a Community-Based Needs Assessment Study

Multimorbidity has become one of the most pressing public health concerns worldwide. The objectives of this study were to understand the prevalence of multimorbidity and its relationship with lifestyle factors among Chinese adults in Macau, and to investigate the combined contribution of common lifestyle factors in predicting multimorbidity. Data were collected through face-to-face interviews using a self-reported questionnaire on common chronic diseases, lifestyle factors and sociodemographics. BMI, physical activity, drinking status, smoking status and sleep quality were assessed, and a composite lifestyle score (0 to 9 points) was calculated, and the higher the score, the healthier the lifestyle. A total of 1443 participants were included in the analysis, of whom 55.2% were female, 51.8% were middle aged or elderly and 30.5% completed tertiary education or higher. The prevalence of multimorbidity was 10.3%. The combination of hypertension and hyperlipidaemia was the most common (22.2%) multimorbidity among the participants with multimorbidity. After the adjustment of the covariates, it was found that the participants who were overweight (OR: 1.95, 95% CI: 1.18-3.20, p = 0.009) or obese (OR: 3.76, 95% CI: 2.38-5.96, p < 0.001), former drinkers (OR: 2.43, 95% CI: 1.26-4.69, p = 0.008), and those who reported poor sleep quality (OR: 2.25, 95% CI: 1.49-3.40, p < 0.001) had a high risk of developing multimorbidity. A one-unit increase in the lifestyle score was associated with a 0.33-times reduction in the risk of developing multimorbidity (OR: 0.67; 95% CI: 0.59-0.77, p < 0.001). A combination of lifestyle factors can influence a variety of multimorbidity among the Chinese adults in Macau. Thus, comprehensively assessing the combined contribution of several lifestyle factors in predicting multimorbidity is important.

Social determinants of multimorbidity patterns: A systematic review

Social determinants of multimorbidity are poorly understood in clinical practice. This review aims to characterize the different multimorbidity patterns described in the literature while identifying the social and behavioral determinants that may affect their emergence and subsequent evolution. We searched PubMed, Embase, Scopus, Web of Science, Ovid MEDLINE, CINAHL Complete, PsycINFO and Google Scholar. In total, 97 studies were chosen from the 48,044 identified. Cardiometabolic, musculoskeletal, mental, and respiratory patterns were the most prevalent. Cardiometabolic multimorbidity profiles were common among men with low socioeconomic status, while musculoskeletal, mental and complex patterns were found to be more prevalent among women. Alcohol consumption and smoking increased the risk of multimorbidity, especially in men. While the association of multimorbidity with lower socioeconomic status is evident, patterns of mild multimorbidity, mental and respiratory related to middle and high socioeconomic status are also observed. The findings of the present review point to the need for further studies addressing the impact of multimorbidity and its social determinants in population groups where this problem remains invisible (e.g., women, children, adolescents and young adults, ethnic groups, disabled population, older people living alone and/or with few social relations), as well as further work with more heterogeneous samples (i.e., not only focusing on older people) and using more robust methodologies for better classification and subsequent understanding of multimorbidity patterns. Besides, more studies focusing on the social determinants of multimorbidity and its inequalities are urgently needed in low- and middle-income countries, where this problem is currently understudied.

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.

Microbiota dysbiosis influences immune system and muscle pathophysiology of dystrophin-deficient mice

Duchenne muscular dystrophy (DMD) is a progressive severe muscle-wasting disease caused by mutations in DMD, encoding dystrophin, that leads to loss of muscle function with cardiac/respiratory failure and premature death. Since dystrophic muscles are sensed by infiltrating inflammatory cells and gut microbial communities can cause immune dysregulation and metabolic syndrome, we sought to investigate whether intestinal bacteria support the muscle immune response in mdx dystrophic murine model. We highlighted a strong correlation between DMD disease features and the relative abundance of Prevotella. Furthermore, the absence of gut microbes through the generation of mdx germ-free animal model, as well as modulation of the microbial community structure by antibiotic treatment, influenced muscle immunity and fibrosis. Intestinal colonization of mdx mice with eubiotic microbiota was sufficient to reduce inflammation and improve muscle pathology and function. This work identifies a potential role for the gut microbiota in the pathogenesis of DMD.

Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis

BACKGROUND

Knowing the prevalence of multimorbidity among adults across continents is a crucial piece of information for achieving Sustainable Development Goal 3.4, which calls for reducing premature death due to non-communicable diseases. A high prevalence of multimorbidity indicates high mortality and increased healthcare utilization. We aimed to understand the prevalence of multimorbidity across WHO geographic regions among adults.

METHODS

We performed a systematic review and meta-analysis of surveys designed to estimate the prevalence of multimorbidity among adults in community settings. We searched PubMed, ScienceDirect, Embase and Google Scholar databases for studies published between January 1, 2000, and December 31, 2021. The random-effects model estimated the pooled proportion of multimorbidity in adults. Heterogeneity was quantified using I² statistics. We performed subgroup analyses and sensitivity analyses based on continents, age, gender, multimorbidity definition, study periods and sample size. The study protocol was registered with PROSPERO (CRD42020150945).

FINDINGS

We analyzed data from 126 peer-reviewed studies that included nearly 15.4 million people (32.1% were male) with a weighted mean age of 56.94 years (standard deviation of 10.84 years) from 54 countries around the world. The overall global prevalence of multimorbidity was 37.2% (95% CI = 34.9-39.4%). South America (45.7%, 95% CI = 39.0-52.5) had the highest prevalence of multimorbidity, followed by North America (43.1%, 95% CI = 32.3-53.8%), Europe (39.2%, 95% CI = 33.2-45.2%), and Asia (35%, 95% CI = 31.4-38.5%). The subgroup study highlights that multimorbidity is more prevalent in females (39.4%, 95% CI = 36.4-42.4%) than males (32.8%, 95% CI = 30.0-35.6%). More than half of the adult population worldwide above 60 years of age had multimorbid conditions (51.0%, 95% CI = 44.1-58.0%). Multimorbidity has become increasingly prevalent in the last two decades, while the prevalence appears to have stayed stable in the recent decade among adults globally.

INTERPRETATION

The multimorbidity patterns by geographic regions, time, age, and gender suggest noticeable demographic and regional differences in the burden of multimorbidity. According to insights about prevalence among adults, priority is required for effective and integrative interventions for older adults from South America, Europe, and North America. A high prevalence of multimorbidity among adults from South America suggests immediate interventions are needed to reduce the burden of morbidity. Furthermore, the high prevalence trend in the last two decades indicates that the global burden of multimorbidity continues at the same pace. The low prevalence in Africa suggests that there may be many undiagnosed chronic illness patients in Africa.

FUNDING

None.

Gender and Socioeconomic Differences in the Prevalence and Patterns of Multimorbidity among Middle-Aged and Older Adults in China

BACKGROUND

Multimorbidity has become a global public health concern. Knowledge about the prevalence and patterns of multimorbidity will provide essential information for public intervention and clinical management. This study aimed to examine gender and socioeconomic differences in the prevalence and patterns of multimorbidity among a nationally representative sample of middle-aged and older Chinese individuals.

METHODS

Data were obtained from the 2018 wave of the China Health and Retirement Longitudinal Study. Latent class analysis was conducted to discriminate among the multimorbidity patterns. Multinomial logit analysis was performed to explore gender and socioeconomic factors associated with various multimorbidity patterns.

RESULTS

A total of 19,559 respondents over 45 years old were included in the study. The findings showed that 56.73% of the respondents reported multimorbidity, with significantly higher proportions among women. Four patterns, namely "relatively healthy class", "respiratory class", "stomach-arthritis class" and "vascular class", were identified. The women were more likely to be in the stomach-arthritis class. Respondents with a higher SES, including higher education, urban residence, higher consumption, and medical insurance, had a higher probability of being in the vascular class. Conclusions: Significant gender and socioeconomic differences were observed in the prevalence and patterns of multimorbidity. The examination of gender and socioeconomic differences for multimorbidity patterns has great implications for clinical practice and health policy. The results may provide insights to aid in the management of multimorbidity patients and improve health resource allocation.

Prevalence of multimorbidity in older adults in São Paulo, Brazil: a study with ISA-Capital

OBJECTIVE

To estimate the prevalence of multimorbidity in older adults in São Paulo, Brazil.

METHODS

A cross-sectional study based on the 2015 ISA-Capital population-based survey, with a subsample of 1,019 older adults aged ≥ 60 years old. Multimorbidity was categorized considering two or more chronic diseases, based on a previously defined list. The data were analyzed in univariate and multiple models with Poisson regression.

RESULTS

The prevalence of multimorbidity was 40% (95%CI: 36.6-43.8), being higher in women (PR a = 1.95 [compared to men]; 95%CI: 1.58-2.40), in individuals aged ≥ 75 years old (PR a = 1.25 [compared to individuals aged ≥ 60 to 64 years old]; 95%CI: 1.01-1.60), in Black people (PR a = 1.28 [compared to White people]; 95%CI: 1.04-1.59), in high-income people (PR a = 1.27 [compared to low income]; 95%CI: 1.09-1.50) and in former smokers (PR a = 1.30 [compared to those who never smoked]; 95%CI: 1.05-1.60), and lower in smokers (PR a = 0.72 [compared to those who never smoked]; 95%CI: 1.09-1.50).

CONCLUSION

The prevalence of multimorbidity was lower than that reported in most of the reviewed studies, but consistently associated with gender, age, race/skin color, smoking habit and socioeconomic status. The standardization of conceptual and methodological criteria for estimation is a challenge to relieve problems in the planning and management of health care systems for older populations.

Identifying multimorbidity clusters among Brazilian older adults using network analysis: Findings and perspectives

In aging populations, multimorbidity (MM) is a significant challenge for health systems, however there are scarce evidence available in Low- and Middle-Income Countries, particularly in Brazil. A national cross-sectional study was conducted with 11,177 Brazilian older adults to evaluate the occurrence of MM and related clusters in Brazilians aged ≥ 60 years old. MM was assessed by a list of 16 physical and mental morbidities and it was defined considering ≥ 2 morbidities. The frequencies of MM and its associated factors were analyzed. After this initial approach, a network analysis was performed to verify the occurrence of clusters of MM and the network of interactions between coexisting morbidities. The occurrence of MM was 58.6% (95% confidence interval [CI]: 57.0–60.2). Hypertension (50.6%) was the most frequent morbidity and it was present all combinations of morbidities. Network analysis has demonstrated 4 MM clusters: 1) cardiometabolic; 2) respiratory + cancer; 3) musculoskeletal; and 4) a mixed mental illness + other diseases. Depression was the most central morbidity in the model according to nodes’ centrality measures (strength, closeness, and betweenness) followed by heart disease, and low back pain. Similarity in male and female networks was observed with a conformation of four clusters of MM and cancer as an isolated morbidity. The prevalence of MM in the older Brazilians was high, especially in female sex and persons living in the South region of Brazil. Use of network analysis could be an important tool for identifying MM clusters and address the appropriate health care, research, and medical education for older adults in Brazil.

Racial inequalities in multimorbidity: baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

BACKGROUND

Evidence of multimorbidity has come mainly from high-income regions, while disparities among racial groups have been less explored. This study examined racial differences in multimorbidity in the multiracial cohort of the Longitudinal Study of Adult Health (Estudo Longitudinal de Saúde do Adulto), ELSA-Brasil.

METHODS

The study examined baseline (2008-2010) data for 14 099 ELSA-Brasil participants who self-reported being white, mixed-race, or black. A list of 16 morbidities was used to evaluate multimorbidity, operationalised by simple count into ≥ 2, ≥ 3, ≥ 4, ≥ 5 and ≥ 6 morbidities, in addition to evaluating the number of coexisting conditions. Prevalence ratios (PR) were estimated from logistic models and a quantile model was used to examine racial differences graphically in the distribution quantiles for the number of morbidities.

RESULTS

Overall prevalence of multimorbidity (≥ 2 morbidities) was 70% and, after controlling for age and sex, was greater among mixed-race and black participants - by 6% (PR: 1.06; 95% CI: 1.03-1.08) and 9% (PR: 1.09; 95% CI: 1.06-1.12), respectively - than among white participants. As the cutoff value for defining multimorbidity was raised, so the strength of the association increased, especially among blacks: if set at ≥ 6 morbidities, the prevalence was 27% greater for those of mixed-race (PR: 1.27; 95% CI: 1.07-1.50) and 47% greater for blacks (PR: 1.47; 95% CI: 1.22-1.76) than for whites. The disparities were smaller in the lower morbidity distribution quantiles and larger in the upper quantiles, indicating a heavier burden of disease, particularly on blacks.

CONCLUSIONS

Multimorbidity was common among adults and older adults in a Brazilian cohort, but important racial inequalities were found. Raising the cutoff point for defining multimorbidity revealed stronger associations between race/skin colour and multimorbidity, indicating a higher prevalence of multimorbidity among mixed-race and black individuals than among whites and that the former groups coexisted more often with more complex health situations (with more coexisting morbidities). Interventions to prevent and manage the condition of multimorbidity that consider the social determinants of health and historically discriminated populations in low- and middle-income regions are necessary.

Adequacy of care for people with arterial hypertension in Brazil: National Health Survey, 2013 and 2019

OBJECTIVE

To analyze adequacy of care received by adults and elderly people with arterial hypertension, and its association with region of the country, demographic, socioeconomic and health system characteristics in Brazil in 2013 and 2019.

METHODS

This was a cross-sectional study using National Health Survey data. People aged ≥18 years with diagnosis of hypertension and medical consultation for this reason in the last three years were included. Adequacy of care was analyzed based on 11 indicators and using Poisson regression.

RESULTS

Adequate care was provided to 11,129 people with hypertension (25.3%; 95%CI 24.5;26.1) in 2013 and to 19,107 (18.8%; 95%CI 18.2;19.3) in 2019. Adequate care prevalence was 2.54 (95%CI 2.03;3.17) times higher in 2013, and 3.53 (95%CI 2.94;4.23) times higher in 2019 among individuals belonging to the highest socioeconomic quintile compared to those belonging to the poorest.

CONCLUSION

We identified that care decreased, and economic inequalities intensified in the period 2013-2019.

Lifestyle, high Body Mass Index, and markers of socioeconomic conditions associated with multimorbidity in women

OBJECTIVE

This study aimed to identify the prevalence of multimorbidity and its associated factors in women in southern Brazil.

METHODS

We conducted a cross-sectional, population-based study with a sample of 1,128 women (age 20-69 years), living in São Leopoldo, southern Brazil. Multimorbidity was defined as two or more chronic conditions measured using the therapeutic and chemical anatomical classification of continuous use medications prescribed by a physician. Poisson regression model with robust variance was used to assess the association between sociodemographic and lifestyle variables and multimorbidity.

RESULTS

The prevalence of multimorbidity was 21.7% (95%CI 19.3-24.2), and 26 chronic conditions were identified. A direct linear association was observed with age and income and an inverse association with education. Being unemployed was a risk factor for multimorbidity (PR 1.95; 95%CI 1.51-2.52). Alcohol consumption (moderate or excessive) had a protective effect. Overweight and obese women were 53% (PR 1.53; 95%CI 1.09-2.15) and 76% (PR 1.76; 95%CI 1.27-2.45) more likely to have multimorbidity than eutrophic women.

CONCLUSION

Over 20% of the adult women had multimorbidity, and its occurrence was strongly associated with socioeconomic characteristics, such as fewer years of schooling, higher income, and not having an occupation. The results regarding alcohol consumption are still insufficient to propose a public policy for the prevention of multimorbidity. Excess weight was an independent risk factor and should be addressed in public health policies for the prevention and management of multimorbidity.

Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review

OBJECTIVE

To document socioepidemiological theories used to explain the relationship between socioeconomic disadvantage and multimorbidity.

DESIGN

Scoping review.

METHODS

A search strategy was developed and then applied to multiple electronic databases including Medline, Embase, PsychInfo, Web of Science, Scielo, Applied Social Sciences, ERIC, Humanities Index and Sociological Abstracts. After the selection of studies, data were extracted using a data charting plan. The last search was performed on the 28 September 2021. Extracted data included: study design, country, population subgroups, measures of socioeconomic inequality, assessment of multimorbidity and conclusion on the association between socioeconomic variables and multimorbidity. Included studies were further assessed on their use of theory, type of theories used and context of application. Finally, we conducted a meta-narrative synthesis to summarise the results.

RESULTS

A total of 64 studies were included in the review. Of these, 33 papers included theories as explanations for the association between socioeconomic position and multimorbidity. Within this group, 16 explicitly stated those theories and five tested at least one theory. Behavioural theories (health behaviours) were the most frequently used, followed by materialist (access to health resources) and psychosocial (stress pathways) theories. Most studies used theories as post hoc explanations for their findings or for study rationale. Supportive evidence was found for the role of material, behavioural and life course theories in explaining the relationship between social inequalities and multimorbidity.

CONCLUSION

Given the widely reported social inequalities in multimorbidity and its increasing public health burden, there is a critical gap in evidence on pathways from socioeconomic disadvantage to multimorbidity. Generating evidence of these pathways will guide the development of intervention and public policies to prevent multimorbidity among people living in social disadvantage. Material, behavioural and life course pathways can be targeted to reduce the negative effect of low socioeconomic position on multimorbidity.

Multimorbidity of non-communicable diseases in low-income and middle-income countries: a systematic review and meta-analysis

INTRODUCTION

Multimorbidity is a major public health challenge, with a rising prevalence in low/middle-income countries (LMICs). This review aims to systematically synthesise evidence on the prevalence, patterns and factors associated with multimorbidity of non-communicable diseases (NCDs) among adults residing in LMICs.

METHODS

We conducted a systematic review and meta-analysis of articles reporting prevalence, determinants, patterns of multimorbidity of NCDs among adults aged >18 years in LMICs. For the PROSPERO registered review, we searched PubMed, EMBASE and Cochrane libraries for articles published from 2009 till 30 May 2020. Studies were included if they reported original research on multimorbidity of NCDs among adults in LMICs.

RESULTS

The systematic search yielded 3272 articles; 39 articles were included, with a total of 1 220 309 participants. Most studies used self-reported data from health surveys. There was a large variation in the prevalence of multimorbidity; 0.7%-81.3% with a pooled prevalence of 36.4% (95% CI 32.2% to 40.6%). Prevalence of multimorbidity increased with age, and random effect meta-analyses showed that female sex, OR (95% CI): 1.48, 1.33 to 1.64, being well-off, 1.35 (1.02 to 1.80), and urban residence, 1.10 (1.01 to 1.20), respectively were associated with higher odds of NCD multimorbidity. The most common multimorbidity patterns included cardiometabolic and cardiorespiratory conditions.

CONCLUSION

Multimorbidity of NCDs is an important problem in LMICs with higher prevalence among the aged, women, people who are well-off and urban dwellers. There is the need for longitudinal data to access the true direction of multimorbidity and its determinants, establish causation and identify how trends and patterns change over time.

PROSPERO REGISTRATION NUMBER

CRD42019133453.

Inequalities in the use of health services by adults and elderly people with and without noncommunicable diseases in Brazil, 2019 National Health Survey

OBJECTIVE

The objective of this study was to investigate the use of health services and limitations in performing usual activities by adults and elderly people with and without noncommunicable chronic diseases (NCDs), according to sociodemographic strata.

METHODS

This is a cross-sectional study in which data from the 2019 National Health Survey were analyzed. The final sample corresponded to 88,531 households with interviews carried out, referring to individuals aged 18 years and above. The prevalence of use of services by the population with NCDs was compared with that of the population without NCDs and stratified by socioeconomic and demographic variables. Prevalence ratios (PRs) and 95% confidence intervals (95%CI) were calculated.

RESULTS

In 2019, 47.6% (95%CI 47.0-48.3) of the population reported having one or more NCDs. Population with NCDs had more medical consultations in the last 12 months (adjusted PR [APR]=1.21; 95%CI 1.20-1.23), used more health services in the last 2 weeks (APR=2.01; 95%CI 1.91-2.11), were referred to more hospitalization (APR=2.11; 95%CI 1.89-2.36), and had more limitations in performing usual activities (APR=2.52; 95%CI 2.30-2.76), compared with the population without NCDs. A positive dose-response gradient was observed between the number of comorbidities and the use of services. In all socioeconomic and demographic strata, the prevalence of indicators was higher in people with NCDs.

CONCLUSION

The presence of NCDs was associated with a higher frequency of use of health services (i.e., consultation, use of services, and hospitalization) and the restriction of usual activities in all socioeconomic and demographic strata.

Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study

BACKGROUND

Multimorbidity is the co-occurrence of two or more chronic diseases.

OBJECTIVE

This study, based on self-reported medical diagnosis, aims to investigate the dynamic distribution of multimorbidity across sociodemographic levels and its impacts on health-related issues over 15 years in Brazil using national data.

METHODS

Data were analyzed using descriptive statistics, hypothesis tests, and logistic regression. The study sample comprised 679,572 adults (18-59 years of age) and 115,699 elderly people (≥60 years of age) from the two latest cross-sectional, multiple-cohort, national-based studies: the National Sample Household Survey (PNAD) of 1998, 2003, and 2008, and the Brazilian National Health Survey (PNS) of 2013.

RESULTS

Overall, the risk of multimorbidity in adults was 1.7 times higher in women (odds ratio [OR] 1.73, 95% CI 1.67-1.79) and 1.3 times higher among people without education (OR 1.34, 95% CI 1.28-1.41). Multiple chronic diseases considerably increased with age in Brazil, and people between 50 and 59 years old were about 12 times more likely to have multimorbidity than adults between 18 and 29 years of age (OR 11.89, 95% CI 11.27-12.55). Seniors with multimorbidity had more than twice the likelihood of receiving health assistance in community services or clinics (OR 2.16, 95% CI 2.02-2.31) and of being hospitalized (OR 2.37, 95% CI 2.21-2.56). The subjective well-being of adults with multimorbidity was often worse than people without multiple chronic diseases (OR=12.85, 95% CI: 12.07-13.68). These patterns were similar across all 4 cohorts analyzed and were relatively stable over 15 years.

CONCLUSIONS

Our study shows little variation in the prevalence of the multimorbidity of chronic diseases in Brazil over time, but there are differences in the prevalence of multimorbidity across different social groups. It is hoped that the analysis of multimorbidity from the two latest Brazil national surveys will support policy making on epidemic prevention and management.

Effect of education and multimorbidity on mortality among older adults: findings from the health, well-being and ageing cohort study (SABE)

OBJECTIVES

This study assessed the moderating role of education on the relationship between multimorbidity and mortality among older adults in Brazil.

STUDY DESIGN

This was a cohort study.

METHODS

This study used data from 1768 participants of the Health, Well-Being and Ageing Cohort Study (SABE) who were assessed between 2006 and 2015. The Cox Proportional Risks Model was used to evaluate the association between multimorbidity (two or more chronic diseases) and mortality. An interaction term between education and multimorbidity was included to test the moderating role of education in this association.

RESULTS

The average follow-up time was 4.5 years, with a total of 589 deaths in the period. Multimorbidity increased the risk of mortality (hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.27-1.91), and this association was not moderated by education (HR 1.06, 95% CI 1.00-1.13; P value = 0.07).

CONCLUSIONS

The impact of education and multimorbidity on mortality emphasises the need for an integrated approach directed towards the social determinants of health to prevent multimorbidity and its burden among older adults.

Profile of multimorbidity in outpatients attending public healthcare settings: A descriptive cross-sectional study from Odisha, India

Background

Multimorbidity, the co-occurrence of two or more long-term conditions (LTC) in individuals, is associated with greater healthcare utilization, expenditure, and premature mortality, thus positing a challenge for patients and healthcare providers. Given its sparsely available epidemiological evidence, we aimed to describe the profile of multimorbidity in a representative sample of public healthcare outpatients in India.

Methods

A facility-based cross-sectional study was conducted from 1^st July to 31^st December 2015 in Odisha, India. Fifteen public healthcare facilities were selected by stratified random sampling. Data was collected from 1,870 adult outpatients attending these settings using Multimorbidity Assessment Questionnaire for Primary Care (MAQ-PC) tool.

Result

Nearly 3/4^th of both women and men outpatients were either obese or overweight. >1/2 had multimorbidity (≥2 LTC) while 1/3^rd had ≥3 LTC. Most prevalent condition was hypertension (63%), followed by chronic backache and arthritis. Cancer and psychiatric illness were least reported. Multimorbidity increased with age group, socioeconomic status, and education level. Females across all age groups had higher reported multimorbidity than males. Diabetes--hypertension was frequently occurring dyad. Both physical and mental component of quality of life was reduced in multimorbidity.

Conclusion

Multimorbidity is becoming a norm in healthcare practice with high prevalence in females and older adults. Health services for non-communicable diseases need to include commonly occurring dyads along with health promotion. Higher prevalence in females reinforces the need to incorporate gender differences while studying multimorbidity. Analysis of multimorbidity epidemiology through an equity lens could illuminate the underpinning complexities and heterogeneities of this phenomenon.

Machine learning analysis to predict health outcomes among emergency department users in Southern Brazil: a protocol study

OBJECTIVE

Emergency services are essential to the organization of the health care system. Nevertheless, they face different operational difficulties, including overcrowded services, largely explained by their inappropriate use and the repeated visits from users. Although a known situation, information on the theme is scarce in Brazil, particularly regarding longitudinal user monitoring. Thus, this project aims to evaluate the predictive performance of different machine learning algorithms to estimate the inappropriate and repeated use of emergency services and mortality.

METHODS

To that end, a study will be conducted in the municipality of Pelotas, Rio Grande do Sul, with around five thousand users of the municipal emergency department.

RESULTS

If the study is successful, we will provide an algorithm that could be used in clinical practice to assist health professionals in decision-making within hospitals. Different knowledge dissemination strategies will be used to increase the capacity of the study to produce innovations for the organization of the health system and services.

CONCLUSION

A high performance predictive model may be able to help decisionmaking in the emergency services, improving quality of care.

Multimorbidity in Latin America and the Caribbean: a systematic review and meta-analysis

OBJECTIVE

To estimate the pooled prevalence of multimorbidity (≥2 non-communicable diseases in the same individual) among adults of the general population of Latin American and the Caribbean (LAC).

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

MEDLINE, Embase, Global Health, Scopus and LILACS up to 1 July 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

The outcome was the prevalence of multimorbidity. Reports were selected whether they enrolled adult individuals (age ≥18 years) from the general population.

DATA EXTRACTION AND SYNTHESIS

Reviewers extracted relevant data and assessed risk of bias independently. A random-effects meta-analysis was conducted to report pooled prevalence estimates of multimorbidity; pooled estimates by pre-specified subgroups (eg, national studies) were also pursued.

RESULTS

From 5830 results, we selected 28 reports, mostly from Brazil and 16 were based on a nationally representative sample. From the 28 selected reports, 26 were further included in the meta-analysis revealing a pooled multimorbidity prevalence of 43% (95% CI: 35% to 51%; I²: 99.9%). When only reports with a nationally representative sample were combined, the pooled prevalence was 37% (95% CI: 27% to 47%; I²: 99.9%). When the ascertainment of multimorbidity was based on self-reports alone, the pooled prevalence was 40% (95% CI: 31% to 48%; I²: 99.9%); this raised to 52% (95% CI: 33% to 70%; I²: 99.9%) for reports including self-reported and objective diagnosis.

CONCLUSIONS

Our results complement and advance those from global efforts by incorporating much more reports from LAC. We revealed a larger presence of multimorbidity in LAC than previously reported.

PROSPERO REGISTRATION NUMBER

CRD42020196177.

Health care for people with diabetes and hypertension in Brazil: cross-sectional study of Program for Improving Access and Quality of Primary Care, 2014

OBJECTIVE

To assess health care for people with diabetes and hypertension, comparing the teams according to their participation in both cycles I and II of the Program for Improving Primary Health Care Access and Quality (PMAQ), and to verify its association with the characteristics of service users and municipalities.

METHODS

This was a cross-sectional study using PMAQ data from 2014. The following variables were used: team organization, request for tests and health care reported by service users.

RESULTS

Thirty-five percent of the teams presented adequate organization and 88% requested all tests. Among the users, 31% had their feet examined and 18% received adequate health care. Municipalities in the Southeast region, with more than 300,000 inhabitants and the highest human development index, presented the best indicators. The teams that took part in both cycles I and II showed greater prevalence of organization and request for tests.

CONCLUSION

Health care for people with diabetes and hypertension in primary health care in Brazil needs improvement.

Racial and socioeconomic disparities in multimorbidity and associated healthcare utilisation and outcomes in Brazil: a cross-sectional analysis of three million individuals

BACKGROUND

Evidence is limited on racial/ethnic group disparities in multimorbidity and associated health outcomes in low- and middle-income countries hampering effective policies and clinical interventions to address health inequalities.

METHODS

This study assessed race/ethnic and socioeconomic disparities in the prevalence of multimorbidity and associated healthcare utilisation, costs and death in Rio de Janeiro, Brazil. A cross-sectional analysis was carried out of 3,027,335 individuals registered with primary healthcare (PHC) services. Records included linked data to hospitalisation, mortality, and welfare-claimant (Bolsa Família) records between 1 Jan 2012 and 31 Dec 2016. Logistic and Poisson regression models were carried out to assess the likelihood of multimorbidity (two or more diagnoses out of 53 chronic conditions), PHC use, hospital admissions and mortality from any cause. Interactions were used to assess disparities.

RESULTS

In total 13,509,633 healthcare visits were analysed identifying 389,829 multimorbid individuals (13%). In adjusted regression models, multimorbidity was associated with lower education (Adjusted Odds Ratio (AOR): 1.26; 95%CI: 1.23,1.29; compared to higher education), Bolsa Família receipt (AOR: 1.14; 95%CI: 1.13,1.15; compared to non-recipients); and black race/ethnicity (AOR: 1.05; 95%CI: 1.03,1.06; compared to white). Multimorbidity was associated with more hospitalisations (Adjusted Rate Ratio (ARR): 2.75; 95%CI: 2.69,2.81), more PHC visits (ARR: 3.46; 95%CI: 3.44,3.47), and higher likelihood of death (AOR: 1.33; 95%CI: 1.29,1.36). These associations were greater for multimorbid individuals with lower educational attainment (five year probability of death 1.67% (95%CI: 1.61,1.74%) compared to 1.13% (95%CI: 1.02,1.23%) for higher education), individuals of black race/ethnicity (1.48% (95%CI: 1.41,1.55%) compared to 1.35% (95%CI: 1.31,1.40%) for white) and individuals in receipt of welfare (1.89% (95%CI: 1.77,2.00%) compared to 1.35% (95%CI: 1.31,1.38%) for non-recipients).

CONCLUSIONS

The prevalence of multimorbidity and associated hospital admissions and mortality are greater in individuals with black race/ethnicity and other deprived socioeconomic groups in Rio de Janeiro. Interventions to better prevent and manage multimorbidity and underlying disparities in low- and middle-income country settings are needed.

The Risk of Multimorbidity Associated with Overweight and Obesity: Data from the Brazilian National Health Survey 2013

Background

An increase in body mass index (BMI) is strongly associated with the occurrence of multimorbidity, and overweight and obesity are contributing factors for the increase in morbidities. Thus, the present study aimed to evaluate the occurrence of multimorbidity and associated factors in Brazilian adults with and without overweight or obesity.

Methods

This was a cross-sectional population-based study with data from the National Health Survey (2013) including individuals aged 18 years or older. Multimorbidity was defined as having ≥2 diseases from the list of 15 morbidities on the self-reported questionnaire (self-reported medical diagnosis in life). BMI was categorized as: ≤24.9 kg/m² (low weight and eutrophy), 25.0–29.9 kg/m² (overweight), and ≥30.0 kg/m² (obesity). Sex, age, and schooling were the covariates. Poisson regression was used for crude and adjusted analyses for the variables representing access to health services estimating the prevalence ratio (PR) and 95% confidence interval (CI).

Results

The total sample consisted of 59,402 individuals. The prevalence of multimorbidity was 25% overall and was higher among overweight (25.8%) and obese (32.5%) individuals. Obese women 60 years or older had a higher occurrence of multimorbidity (80%). In the adjusted analysis, a lower prevalence of multimorbidity was observed among those with higher educational levels in all BMI classifications: low weight/eutrophy, PR=0.66 (95% CI, 0.58–0.75); overweight, PR=0.62 (95% CI, 0.56–0.70); and obesity, PR=0.75 (95% CI, 0.67–0.85).

Conclusion

A higher prevalence of multimorbidity was found among obese women who were 60 years of age or older. Schooling was an associated factor regardless of BMI.

Multimorbidity and Its Outcomes Among Patients Attending Psychiatric Care Settings: An Observational Study From Odisha, India

Background: Multimorbidity, the presence of two or more chronic health conditions is linked to premature mortality among psychiatric patients since the presence of one can further complicate the management of either. Little research has focused on the magnitude and effect of multimorbidity among psychiatric patients in low-and middle-income settings. Our study, provides the first ever data on multimorbidity and its outcomes among patients attending psychiatric clinics in Odisha, India. It further explored whether multimorbidity was associated with higher medical expenditure and the interaction effect of psychiatric illness on this association.

Methods: This cross-sectional study included 500 adult patients presenting to the psychiatric clinic of a medical college hospital in Odisha over a period of 6 months (February 2019–July 2019). A validated structured questionnaire, “multimorbidity assessment questionnaire for psychiatric care” (MAQ-PsyC) was used for data collection. We used multinomial logistic model for the effect estimation. Odds ratios (OR) and 95% confidence intervals (CI) for high healthcare utilization and expenditure were calculated by number and pattern of multimorbidity. Data was analyzed by STATA 14.

Results: Half (50%) of the psychiatric outpatients had multimorbidity. The relative probabilities of having one additional condition were 5.3 times (RRR = 5.3; 95% CI: 2.3, 11.9) and multiple morbidities were 6.6 times (RRR = 6.6; 95%CI: 3.3, 13.1) higher for patients in 60+ age group. Healthcare utilization i.e., medication use and physician consultation was significantly higher for psychiatric conditions such as mood disorders, schizophrenia, schizotypal and delusional disorders, and for hypertension, cancer, diabetes, among somatic conditions. Out of pocket expenditure (OOPE) was found to be highest for laboratory investigations, followed by medicines and transport expenditure. Within psychiatric conditions, mood disorders incurred highest OOPE ($93.43) while hypertension was the most leading for OOPE in physical morbidities ($93.43). Psychiatric illnesses had a significant interaction effect on the association between multimorbidity and high medical expenditure (P = 0.001).

Conclusion: Multimorbidity is highly prevalent in psychiatric patients associated with significantly high healthcare utilization and medical expenditure. Such disproportionate effect of psychiatric multimorbidity on healthcare cost and use insinuates the need for stronger financial protection and tailor-made clinical decision making for these vulnerable patient subgroups.

Factors Associated with Mortality among Hospitalized Patients with COVID-19: A Retrospective Cohort Study

Information on the risk factors for COVID-19 mortality in low- and middle-income countries is still scarce. In this retrospective cohort study, we analyzed the factors associated with COVID-19 mortality in hospitalized patients in a poor area of Brazil. Logistic regression was used to identify factors independently associated with mortality, including gender, age, and the presence of underlying medical conditions. A total of 1,207 patients were included in the analysis, and a 1.5-fold increase in COVID-19 mortality was found among patients aged > 65 years with hypertension and diabetes (odds ratio [OR]: 1.50, 95% CI: 1.02–2.19). Moreover, infectious disease (OR: 4.31, 95% CI: 1.39–13.39), kidney disease (OR: 2.59, 95% CI: 1.27–5.27), and heart disease (OR: 2.00, 95% CI: 1.31–3.04) were also predictive for COVID-19 in-hospital death. This large cohort provides important data on potential factors associated with COVID-19 mortality in Brazil.

Does socioeconomic inequality occur in the multimorbidity among Brazilian adults?

OBJECTIVE

To assess the prevalence of multimorbidity among Brazilian adults and its association with socioeconomic indicators.

METHODS

Cross-sectional study that used data from the Pesquisa Nacional Sobre Acesso, Utilização e Promoção do Uso Racional de Medicamentos no Brasil (PNAUM - Brazilian National Survey on Access, Use and Promotion of Rational Use of Medicines), carried out between 2013 and 2014. The definition of multimorbidity was the coexistence, in a single individual, of two or more chronic diseases, measured through a list of 14 morbidities (self-reported medical diagnosis throughout life). Economic status and educational level were the socioeconomic indicators used, being the inequalities assessed through the Slope Index of Inequality (SII) and the Concentration Index, stratified by gender.

RESULTS

The study comprehended 23,329 adults (52.8% of which were women), with an average age of 37.9 years. Hypertension and high cholesterol levels were the most prevalent conditions. The prevalence of multimorbidity was of 10.9% (95%CI 10.1-11.7) representing nearly 11 million individuals in Brazil, of which 14.5% (95%CI 13.5-15.4) were women and 6.8% (95%CI 5.9-7.8) were men. The occurrence of multimorbidity was similar according to the socioeconomic indicators. In the inequality analysis, we observed absolute and relative differences in men with a higher purchasing power (SII = 3.7; 95%CI 0.3-7.0) and higher educational level (CIX = 7.1; 95%CI 0.9-14.7), respectively.

CONCLUSIONS

The frequency of comorbidities in Brazilian adults is high, especially in absolute terms. We only observed socioeconomic inequalities in multimorbidities among men.

Protective behaviors for COVID-19 among Brazilian adults and elderly living with multimorbidity: the ELSI-COVID-19 initiative

To measure the occurrence of protective behaviors for COVID-19 and sociodemographic factors according to the occurrence of multimorbidity in the Brazilian population aged 50 or over was the objective of this study. We used data from telephone surveys among participants of ELSI-Brazil (Brazilian Longitudinal Study of Aging), conducted between May and June 2020. The use of non-pharmacological prevention measures for COVID-19, reasons for leaving home according to the presence of multimorbidity and sociodemographic variables were evaluated. among 6,149 individuals. Multimorbidity was more frequent in females, married, aged 50-59 years and residents of the urban area. Most of the population left home between once and twice in the last week, increasing according to the number of morbidities (22.3% no morbidities and 38% with multimorbidity). Leaving home every day was less common among individuals with multimorbidity (10.3%) and 9.3% left home in the last week to access health care. Hand hygiene (> 98%) and always wearing a mask when leaving home (> 96%) were almost universal habits. Greater adherence to social isolation was observed among women with multimorbidity when compared to men (PR = 1.49, 95%CI: 1.23-1.79). This adherence increased proportionally with age and inversely with the level of education. The protective behavior in people with multimorbidity seems to be greater in relation to the others, although issues related to social isolation and health care deserve to be highlighted. These findings can be useful in customizing strategies for coping with the current pandemic.

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

BACKGROUND

Multimorbidity is rising in low- and middle-income countries (LMICs). However, the evidence on its epidemiology from LMICs settings is limited and the available literature has not been synthesized as yet.

OBJECTIVES

To review the available evidence on the epidemiology of multimorbidity in LMICs.

METHODS

PubMed, Scopus, PsycINFO and Grey literature databases were searched. We followed the PRISMA-ScR reporting guideline.

RESULTS

Of 33, 110 articles retrieved, 76 studies were eligible for the epidemiology of multimorbidity. Of these 76 studies, 66 (86.8%) were individual country studies. Fifty-two (78.8%) of which were confined to only six middle-income countries: Brazil, China, South Africa, India, Mexico and Iran. The majority (n = 68, 89.5%) of the studies were crosssectional in nature. The sample size varied from 103 to 242, 952. The largest proportion (n = 33, 43.4%) of the studies enrolled adults. Marked variations existed in defining and measuring multimorbidity. The prevalence of multimorbidity in LMICs ranged from 3.2% to 90.5%.

CONCLUSION AND RECOMMENDATIONS

Studies on the epidemiology of multimorbidity in LMICs are limited and the available ones are concentrated in few countries. Despite variations in measurement and definition, studies consistently reported high prevalence of multimorbidity. Further research is urgently required to better understand the epidemiology of multimorbidity and define the best possible interventions to improve outcomes of patients with multimorbidity in LMICs.

Multimorbidity and complex multimorbidity in Brazilian rural workers

OBJECTIVE

To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition.

METHODS

This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity.

RESULTS

The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06-5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03-3.44), high waist circumference (OR 2.82, CI 95% 1.98-4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52-2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity.

CONCLUSION

We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population.

[Multimorbidity and use of health services by individuals with restrictions on habitual activities: the Pró-Saúde Study]

The study aimed to assess the use of health services and the association with different measures of multimorbidity. This was a cross-sectional study nested in the Pró-Saúde Study, a longitudinal study of municipal technical and administrative employees in Rio de Janeiro, Brazil. Data were analyzed from phase 2 (2001-2002), and the study population consisted of 733 individuals who reported restrictions on habitual activities due to health problems in the 15 days prior to the data collection. The search for a health service (outcome variable) was used as the proxy for use of health services. Multimorbidity was assessed by simple count and the Cumulative Illness Rating Scale, generating four exposure variables: number of self-reported diseases, multimorbidity (2 or more diseases), and total score and number of systems affected. The analyses stratified by sex used Poisson regression models with robust variance, adjusted by age and schooling. Women showed higher mean values than men for all the measures, with 51% classified as having multimorbidity. In men, multimorbidity increased by 43% (95%CI: 1.11-1.84) the probability of using health services, while there was no statistically significant association in women. For men, each additional disease increased the probability of use of a health service by 14% (95%CI: 1.05-1.24). There were evident differences in the use of health services and multimorbidity according to sex. Explaining these patterns becomes relevant for the provision of efficient, coordinated, and safe care for persons with multimorbidity.

Do replicable profiles of multimorbidity exist? Systematic review and synthesis

This systematic review aimed to synthesise multimorbidity profiling literature to identify replicable and clinically meaningful groupings of multimorbidity. We searched six electronic databases (Medline, EMBASE, PsycINFO, CINAHL, Scopus, and Web of Science) for articles reporting multimorbidity profiles. The identified profiles were synthesised with multidimensional scaling, stratified by type of statistical analysis used in the derivation of profiles. The 51 studies that met inclusion criteria reported results of 98 separate analyses of multimorbidity profiling, with a total of 407 multimorbidity profiles identified. The statistical techniques used to identify multimorbidity profiles were exploratory factor analysis, cluster analysis of diseases, cluster analysis of people, and latent class analysis. Reporting of methodological details of statistical methods was often incomplete. The discernible groupings of multimorbidity took the form of both discrete categories and continuous dimensions. Mental health conditions and cardio-metabolic conditions grouped along identifiable continua in the synthesised results of all four methods. Discrete groupings of chronic obstructive pulmonary disease with asthma, falls and fractures with sensory deficits and of Parkinson's disease and cognitive decline where partially replicable (identifiable in the results of more than one method), while clustering of musculoskeletal conditions and clustering of reproductive systems were each observed only in one statistical approach. The two most replicable multimorbidity profiles were mental health conditions and cardio-metabolic conditions. Further studies are needed to understand aetiology and evolution of these multimorbidity groupings. Guidelines for strengthening the reporting of multimorbidity profiling studies are proposed.

Socioeconomic determinants of chronic health diseases among older Indian adults: a nationally representative cross-sectional multilevel study

OBJECTIVE

Study uses multilevel modelling to examine the effect of individual, household and contextual characteristics on chronic diseases among older Indian adults.

DESIGN

Nationally representative cross-sectional study.

PARTICIPANTS

Data from the nationally representative, India Human Development Survey conducted in 2011-2012 was used in this study. The survey asked information related to the diagnosed chronic illnesses such as cataract, tuberculosis, hypertension, heart disease and others. The sample size of this study comprised 39 493 individuals who belonged to the age group 50 years and above.

MEASURES

Self-reported diagnosed chronic illness.

METHOD

Considering the hierarchal structure of the data multilevel logistic regression analysis was applied to attain the study objective.

RESULTS

Older adults aged 80 years and older were found with three times more chances (OR: 3.99, 95% CI 2.91 to 5.48) of suffering from a chronic ailment than 50-54 years old. Lifestyle risk factors such as alcohol and tobacco (smoked and smokeless) consumption were noted to be significantly associated with the presence of chronic illness whereas older adults who have never consumed smokeless tobacco stood 20% fewer chances (OR: 0.80, 95% CI 0.68 to 0.94) of having any chronic illness. Contextual level variables such as older adults residing in the rural areas were found with 17% fewer chances (OR: 0.83, 95% CI 0.70 to 0.97) of suffering from a chronic illness.

CONCLUSION

Even after controlling for various characteristics at the individual, household and contextual levels, significant variations in chronic illness remain unexplained at the community and state level, respectively. The findings of this study could effectively be utilised to consider more contextual variables to examine the chronic health status among the growing older population of India.

Use of health services by adults in Manaus, 2019: Protocol of a population-based survey

INTRODUCTION

Health services utilization is an indirect measure of the rights and equity of a health system. A 2015 survey conducted in the Manaus metropolitan region showed that in the previous year, over 70% of adults visited the doctor and 1 in 3 had visited a dentist. Socioeconomic factors and inequality played a central role in the usage of healthcare services and health situation in this population. Since then, political and economic crisis are evolving in Brazil. This project aims to estimate the prevalence of use of health services and the health status of the adults residing in Manaus in 2019.

METHODS AND ANALYSIS

This is a population-based survey of adults (≥18 years old) residing in Manaus. This survey will be conducted in the first half of 2019 with 2300 participants who will be interviewed at home, selected from a probabilistic sampling in 3 stages (census tracts, household, and dweller), and stratified by sex and age quotas based on official estimates. The participants will be interviewed using previously validated tools and questions employed in Brazilian official surveys, which will cover use of health services and supplies, health status, and lifestyle. Primary outcome will be any healthcare usage in the last 15 days. Associations between health services usage and socioeconomic data and health outcomes will be assessed using a Poisson regression with a complex sampling design correction. Results will be reported according to the strengthening the reporting of observational studies in epidemiology statement.

ETHICS AND DISSEMINATION

This project was approved by the Ethics Committee of the Federal University of Amazonas, Manaus, Amazonas, Brazil. All participants will sign an informed consent before the interview. The results will be disseminated in peer-reviewed manuscripts, reports, conference presentations, and through the media.

Multilevel Analysis of the Patterns of Physical-Mental Multimorbidity in General Population of São Paulo Metropolitan Area, Brazil

Chronic diseases are often comorbid and present a weighty burden for communities in the 21st century. The present investigation depicted patterns of multimorbidity in the general population and examined its association with the individual- and area-level factors in an urban sample of non-elderly adults of Brazil. Data were from the cross-sectional São Paulo Megacity Mental Health Survey, a stratified multistage area probability sampling investigation. Trained interviewers assessed mental morbidities and asked about physical conditions for 1,571 community-dwelling women and 1,142 men, aged between 18 and 64 years. Principal component analysis depicted patterns of physical-mental multimorbidity, by sex. Following, the patterns of multimorbidity were subjected to multilevel regression analysis, taking into account individual- and area-level variables. Three patterns of clustering were found for women: 'irritable mood and headache', 'chronic diseases and pain', and 'substance use disorders'. Among men, the patterns were: 'chronic pain and respiratory disease', 'psychiatric disorders', and 'chronic diseases'. Multilevel analyses showed associations between multimorbidity patterns and both individual- and area-level determinants. Our findings call for a reformulation of health-care systems worldwide, especially in low-resource countries. Replacing the single-disease framework by multi-disease patterns in health-care settings can improve the ability of general practitioners in the health-care of person-centred needs.

Prevalence and patterns of multimorbidity in Amazon Region of Brazil and associated determinants: a cross-sectional study

OBJECTIVES

To estimate the prevalence of multimorbidity and to identify factors associated with it in the adult population from the metropolitan region of Manaus.

DESIGN

Cross-sectional population-based study.

SETTING

Interviews conducted between May and August of 2015 in eight cities that compose the metropolitan region of Manaus, Amazonas, Brazil.

PARTICIPANTS

4001 adults aged ≥18 years.

PRIMARY OUTCOME MEASURES

Multimorbidity, measured by the occurrence of ≥2 and ≥3 chronic diseases, was the primary outcome. The associated factors were investigated by calculating the prevalence ratio (PR) obtained by Poisson regression, with robust adjustment of the variance in a hierarchical model. A factor analysis was conducted to investigate multimorbidity clusters.

RESULTS

Half of the interviewees were women. The presence of a chronic disease was reported by 57.2% (95% CI 56.6% to 59.7%) of the interviewees, and the mean morbidity was 1.2 (1.1-1.2); 29.0% (95% CI 27.6% to 30.5%) reported ≥2 morbidities and 15.2% (95% CI 14.1% to 16.4%) reported ≥3 chronic conditions. Back pain was reported by one-third of the interviewees. Multimorbidity was highest in women, PR=1.66 (95% CI 1.50 to 1.83); the elderly, PR=5.68 (95% CI 4.51 to 7.15) and individuals with worse health perception, PR=3.70 (95% CI 2.73 to 5.00). Associated factors also included undergoing medical consultations, hospitalisation in the last year, suffering from dengue in the last year and seeking the same healthcare service. Factor analysis revealed a pattern of multimorbidity in women. The factor loading the most strength of association in women was heart disease. In men, an association was identified in two groups, and lung disease was the disease with the highest factorial loading.

CONCLUSION

Multimorbidity was frequent in the metropolitan region of Manaus. It occurred most often in women, in the elderly and in those with worse health perception.

Multimorbidity: The Brazilian Longitudinal Study of Aging (ELSI-Brazil)

OBJECTIVE

To evaluate the occurrence and factors associated with multimorbidity among Brazilians aged 50 years and over.

METHODS

This is a cross-sectional study in a nation-based cohort of the non-institutionalized population in Brazil. Data were collected between 2015 and 2016. Multimorbidity was assessed from a list of 19 morbidities, which were categorized into ≥ 2 and ≥ 3 diseases. The analysis included the calculation of frequencies and the most frequent 10 pairs and triplets of combinations of diseases. The crude and adjusted analyses evaluated the demographic, socioeconomic, behavioral, and contextual variables (area of residence, geopolitical region, and coverage of the Family Health Strategy) using Poisson regression.

RESULTS

From the total of 9,412 individuals, 67.8% (95%CI 65.6–69.9) and 47.1% (95%CI 44.8–49.4) showed ≥ 2 and ≥ 3 diseases, respectively. In the adjusted analysis, women, older persons, and those who did not consume alcohol had increased multimorbidity. There were no associations with race, area of residence, geopolitical region, and coverage of the Family Health Strategy. The 10 pairs (frequencies observed between 11.6% and 23.2%) and the 10 triplets (frequencies observed between 4.9% and 9.5%) of the most frequent diseases mostly included back problems (15 times) and systemic arterial hypertension (11 times). All combinations were statistically higher than expected by chance.

CONCLUSIONS

The occurrence of multimorbidity was high even among younger individuals (50 to 59 years). Approximately two in three (≥ 2 diseases) and one in two (≥ 3 diseases) individuals aged 50 years and over presented multimorbidity, which represents 26 and 18 million persons in Brazil, respectively. We observed high frequencies of combinations of morbidities.