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.

Multimorbidity and complex multimorbidity in Brazilians with severe obesity.

To investigate the prevalence of multimorbidity and complex multimorbidity and their association with sociodemographic and health variables in individuals with severe obesity. This is a baseline data analysis of 150 individuals with severe obesity (body mass index ≥ 35.0 kg/m2) aged 18-65 years. The outcomes were multimorbidity and complex multimorbidity. Sociodemographic, lifestyle, anthropometric and self-perceived health data were collected. Poisson multiple regression was conducted to identify multimorbidity risk factors. The frequency of two or more morbidities was 90.7%, three or more morbidities was 76.7%, and complex multimorbidity was 72.0%. Living with four or more household residents was associated with ≥ 3 morbidities and complex multimorbidity. Fair and very poor self-perceived health was associated with ≥ 2 morbidities, ≥ 3 morbidities and complex multimorbidity. A higher BMI range (45.0-65.0 kg/m2) was associated with ≥ 2 morbidities and ≥ 3 morbidities. Anxiety (82.7%), varicose veins of lower limbs (58.7%), hypertension (56.0%) were the most frequent morbidities, as well as the pairs and triads including them. The prevalence of multimorbidity and complex multimorbidity in individuals with severe obesity was higher and the risk for multimorbidity and complex multimorbidity increased in individuals living in households of four or more residents, with fair or poor/very poor self-perceived health and with a higher BMI.

Childhood health and educational disadvantage are associated with adult multimorbidity in the global south: findings from a cross-sectional analysis of nationally representative surveys in India and Brazil.

INTRODUCTION: Multimorbidity has emerged as a major healthcare challenge in low/middle-income countries (LMICs) such as India and Brazil. Life course epidemiology suggests that adverse events in early life contribute to an individual's later health in adulthood. However, little is known about the influence of early life health and social factors on the development of multimorbidity in adulthood in LMICs. We aimed to explore the association of adult multimorbidity with childhood health and social disadvantages among two LMICs, India and Brazil. METHODS: We conducted a secondary data analysis of older adults aged ≥50 years using nationally representative surveys from Longitudinal Ageing Study in India, 2017-2018 (n=51 481) and 'Estudo Longitudinal da Saude e Bem-Estar dos Idosos Brasileirous', 2015-2016 (n=8730). We estimated the prevalence of multimorbidity along with 95% CI as a measure of uncertainty for all weighted proportions. Log link in generalised linear model was used to assess the association between childhood health and disadvantages with multimorbidity, reported as adjusted prevalence ratio (APR). RESULTS: The prevalence of multimorbidity was 25.53% and 55.24% in India and Brazil, respectively. Participants who perceived their childhood health as poor and missed school for a month or more due to illness had the highest level of multimorbidity across both countries. After adjusting for age and gender, a significant association between adult multimorbidity and poor self-rated childhood health (APR: (India: 1.38, 1.16 to 1.65) and (Brazil: 1.19, 1.09 to 1.30)); and missed school for a month due to illness (AOR: (India: 1.73, 1.49 to 2.01) and (Brazil: 1.16, 1.08 to 1.25)) was observed. CONCLUSION: Early life health, educational and economic disadvantages are associated with adult multimorbidity and appear to contribute to the later course of life. A life course approach to the prevention of multimorbidity in adulthood in LMICs may be useful in health programmes and policies.

Associations of hospitalisation - admission, readmission and length to stay - with multimorbidity patterns by age and sex in adults and older adults: the ELSI-Brazil study.

BACKGROUND: Although the association between multimorbidity (MM) and hospitalisation is known, the different effects of MM patterns by age and sex in this outcome needs to be elucidated. Our study aimed to analyse the association of hospitalisations' variables (occurrence, readmission, length of stay) and patterns of multimorbidity (MM) according to sex and age. METHODS: Data from 8.807 participants aged ≥ 50 years sourced from the baseline of the Brazilian Longitudinal Study of Ageing (ELSI-Brazil) were analysed. Multimorbidity was defined as ≥ 2 (MM2) and ≥ 3 (MM3) chronic conditions. Poisson regression was used to verify the association between the independent variables and hospitalisation according to sex and age group. Multiple linear regression models were constructed for the outcomes of readmission and length of stay. Ising models were used to estimate the networks of diseases and MM patterns. RESULTS: Regarding the risk of hospitalisation among those with MM2, we observed a positive association with male sex, age ≥ 75 years and women aged ≥ 75 years. For MM3, there was a positive association with hospitalisation among males. For the outcomes hospital readmission and length of stay, we observed a positive association with male sex and women aged ≥ 75 years. Network analysis identified two groups that are more strongly associated with occurrence of hospitalisation: the cardiovascular-cancer-glaucoma-cataract group stratified by sex and the neurodegenerative diseases-renal failure-haemorrhagic stroke group stratified by age group. CONCLUSION: We conclude that the association between hospitalisation, readmission, length of stay, and MM changes when sex and age group are considered. Differences were identified in the MM patterns associated with hospitalisation according to sex and age group.

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.

Overweight, obesity and risk of multimorbidity: A systematic review and meta-analysis of longitudinal studies.

This study aimed to review and quantify the association between overweight and obesity in the risk of multimorbidity among the general population. We conducted a systematic review and meta-analysis in the databases of Pubmed, Lilacs, Web of Science, Scopus, and Embase. We included cohort studies that assessed the association between overweight and/or obesity with the risk of multimorbidity. The Newcastle-Ottawa assessed the studies' individual quality. A random-effect model meta-analysis was performed to evaluate the association between overweight and obesity with the relative risk (RR) of multimorbidity; the I2 test evaluated heterogeneity. After excluding duplicates, we found 1.655 manuscripts, of which eight met the inclusion criteria. Of these, seven (87.5%) evidenced an increased risk of multimorbidity among subjects with overweight and/or obesity. Overall, we observed an increased risk of multimorbidity among subjects with overweight (RR: 1.26; CI95%: 1.12; 1.40, I2 = 98%) and obesity (RR: 1.99; CI95%: 1.45;2.72, I2 = 99%) compared to normal weight. According to the I2 test, the heterogeneities of the meta-analyses were high. The Newcastle-Ottawa scale showed that all studies were classified as high quality. Further longitudinal studies are needed, including different populations and stratifications by sex, age, and other variables.

Emergency department use and Artificial Intelligence in Pelotas: design and baseline results.

OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency services in a representative sample of adults from the urban area of Pelotas, Southern Brazil. METHODS: The study is entitled "Emergency department use and Artificial Intelligence in PELOTAS (RS) (EAI PELOTAS)" (https://wp.ufpel.edu.br/eaipelotas/). Between September and December 2021, a baseline was carried out with participants. A follow-up was planned to be conducted after 12 months in order to assess the use of urgent and emergency services in the last year. Afterwards, machine learning algorithms will be tested to predict the use of urgent and emergency services over one year. RESULTS: In total, 5,722 participants answered the survey, mostly females (66.8%), with an average age of 50.3 years. The mean number of household people was 2.6. Most of the sample has white skin color and incomplete elementary school or less. Around 30% of the sample has obesity, 14% diabetes, and 39% hypertension. CONCLUSION: The present paper presented a protocol describing the steps that were and will be taken to produce a model capable of predicting the demand for urgent and emergency services in one year among residents of Pelotas, in Rio Grande do Sul state.

Emergency department use and Artificial Intelligence in Pelotas: design and baseline results / Uso serviços de serviços de urgência e emergência e Inteligência Artificial em Pelotas: protocolo e resultados iniciais

RESUMO Objetivo: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency services in a representative sample of adults from the urban area of Pelotas, Southern Brazil. Methods: The study is entitled "Emergency department use and Artificial Intelligence in PELOTAS (RS) (EAI PELOTAS)" (https://wp.ufpel.edu.br/eaipelotas/). Between September and December 2021, a baseline was carried out with participants. A follow-up was planned to be conducted after 12 months in order to assess the use of urgent and emergency services in the last year. Afterwards, machine learning algorithms will be tested to predict the use of urgent and emergency services over one year. Results: In total, 5,722 participants answered the survey, mostly females (66.8%), with an average age of 50.3 years. The mean number of household people was 2.6. Most of the sample has white skin color and incomplete elementary school or less. Around 30% of the sample has obesity, 14% diabetes, and 39% hypertension. Conclusion: The present paper presented a protocol describing the steps that were and will be taken to produce a model capable of predicting the demand for urgent and emergency services in one year among residents of Pelotas, in Rio Grande do Sul state.

RESUMO Objetivo: Descrever os resultados iniciais da linha de base de um estudo de base populacional, bem como um protocolo para avaliar o desempenho de diferentes algoritmos de aprendizado de máquina, com o objetivo de predizer a demanda de serviços de urgência e emergência em uma amostra representativa de adultos da zona urbana de Pelotas, no Sul do Brasil. Métodos: O estudo intitula-se "Emergency department use and Artificial Intelligence in PELOTAS (RS) (EAI PELOTAS)" (https://wp.ufpel.edu.br/eaipelotas/). Entre setembro e dezembro de 2021, foi realizada uma linha de base com os participantes. Está previsto um acompanhamento após 12 meses para avaliar a utilização de serviços de urgência e emergência no último ano. Em seguida, serão testados algoritmos de machine learning para predizer a utilização de serviços de urgência e emergência no período de um ano. Resultados: No total, 5.722 participantes responderam à pesquisa, a maioria do sexo feminino (66,8%), com idade média de 50,3 anos. O número médio de pessoas no domicílio foi de 2,6. A maioria da amostra tem cor da pele branca e ensino fundamental incompleto ou menos. Cerca de 30% da amostra estava com obesidade, 14% com diabetes e 39% eram hipertensos. Conclusão: O presente trabalho apresentou um protocolo descrevendo as etapas que foram e serão tomadas para a produção de um modelo capaz de prever a demanda por serviços de urgência e emergência em um ano entre moradores de Pelotas, no estado do Rio Grande do Sul.

Access and Use of Health Services by People with Diabetes from the Item Response Theory.

The objective of this study was to analyze the indicators of access and use of health services in people with diabetes mellitus. This study used data from the National Health Survey, conducted in Brazil in 2013. The National Health Survey was carried out with adults aged 18 years or older residing in permanent private households in Brazil. Indicators from 492 individuals with self-reported diabetes mellitus living in the Central-West region of the country were analyzed. Item response theory was used to estimate the score for access to and use of health services. Multiple linear regression was used to analyze factors associated with scores of access and use of health services by people with diabetes mellitus. The mean score of access estimated by the item response theory and use estimated was 51.4, with the lowest score of zero (lowest access and use) and the highest 100 (highest access and use). Among the indicators analyzed, 74.6% reported having received medical care in the last 12 months and 46.4% reported that the last visit occurred in primary care. Only 18.9% had their feet examined and 29.3% underwent eye examinations. Individuals of mixed-race/skin color and those residing outside capital and metropolitan regions had lower access and use scores when compared to white individuals and residents of state capitals, respectively. The study shows several gaps in the indicators of access and use of health services by people with diabetes. People of mixed race/skin color and residents outside the capitals and metropolitan regions had lower scores for access and use, suggesting the need to increase health care in these groups.

Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over.

Multimorbidity is highly prevalent in older adults and can lead to hospitalisation. We investigate the prevalence, associated factors, and multimorbidity pattern associated to hospitalisation, readmission, and length of stay in the population aged 50 years and older. We analysed baseline data (2015-2016) from the ELSI-Brazil cohort, a representative sample of non-institutionalised Brazilians aged ≥ 50 years. In total, 8807 individuals aged ≥ 50 years were included. Poisson regression with robust variance adjusted for confounders was used to verify the associations with hospitalisation. Multiple linear regression was used to analyse the associations with readmission and length of stay. Network analysis was conducted using 19 morbidities and the outcome variables. In 8807 participants, the prevalence of hospitalisation was 10.0% (95% CI 9.1, 11), mean readmissions was 1.55 ± 1.191, and mean length of stay was 6.43 ± 10.46 days. Hospitalisation was positively associated with male gender, not living with a partner, not having ingested alcoholic beverages in the last month, and multimorbidity. For hospital readmission, only multimorbidity ≥ 3 chronic conditions showed a statistically significant association. Regarding the length of stay, the risk was positive for males and negative for living in rural areas. Five disease groups connected to hospitalisation, readmission and length of stay were identified. To conclude, sociodemographic variables, such as gender, age group, and living in urban areas, and multimorbidity increased the risk of hospitalisation, mean number of readmissions, and mean length of stay. Through network analysis, we identified the groups of diseases that increased the risk of hospitalisation, readmissions, and length of stay.

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.

Predictors of hospital readmission after fractures: One-year follow-up study.

OBJECTIVE: Identify the incidence and predictive factors for readmissions of elderly hospitalized with fractures. METHOD: Prospective cohort study on 376 elderly people from a trauma referral large hospital in central Brazil. Data were collected from medical records of elderly people with radiological diagnosis of fractures. Readmission that occurs up to one year after the first discharge was defined the outcome variable. Pre- and post-admission characteristics were analyzed as predictive factors. Multiple analysis was performed using robust Poisson regression. RESULTS: The main cause of hospitalization was fracture of the femur (53.2%) and the most frequent trauma mechanism was fall from standing height (72.9%). The incidence of readmission was 20.7%, of which 30.5% were related to the fracture itself, with emphasis on Surgical Site Infection. The predictors of readmissions were: age range 60 to 69 years, COPD, delirium and fracture of the femur. CONCLUSIONS: The incidence of readmissions was high, with various causes and associated conditions pre-admission (age range 60-69, presenting COPD) and post-admission (delirium). The monitoring of these factors in the hospital environment is essential for prevention of readmissions.

Factors associated with uncontrolled blood pressure in hypertensive Brazilians

ABSTRACT: Uncontrolled hypertension has a high prevalence and is related to numerous negative health outcomes. This study aimed to investigate the factors associated with the lack of blood pressure control in hypertensive Brazilians treated in public and private services. This is an analytical, multicentric, and national cross-sectional study, carried out with adult hypertensive patients, monitored in 45 outpatient clinics (September 2013 to October 2015) in a prospective record interview, clinical, and anthropometric assessment. Outcome variables included uncontrolled pressure (systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg). Simple and multiple logistic regression analyses were performed. Two thousand six hundred forty-three participants were assessed with a mean age of 61.6 ± 11.9 years, 55.7% of women, and 46.4% with uncontrolled blood pressure (BP). The following were associated with uncontrolled BP: age over 60 years (OR: 1.31 [1.11­1.55]); practice of irregular physical activity (OR: 1.28 [1.06­1.55]); attending the emergency room for hypertensive crises in the last six months (OR: 1.80 [1.46­2.22]); increased body mass index (OR: 1.02 [1.01­1.04]); low adherence to drug treatment (OR: 1.22 [1.04­1.44]) and menopause (OR: 1.36 [1.07­1.72]). The following were negatively associated: fruit consumption (OR: 0.90 [0.85­0.94]); presence of dyslipidemia (OR: 0.75 [0.64­0.89]), acute myocardial infarction (OR: 0.59 [0.46­0.76]), and peripheral arterial disease (OR: 0.52 [0.34-0.78]). Factors associated with difficult-to-control blood pressure are the same that increase the risk for hypertension, while the presence of atherosclerotic disease and its outcomes were associated with better control.

Factors associated with uncontrolled blood pressure in hypertensive Brazilians.

Uncontrolled hypertension has a high prevalence and is related to numerous negative health outcomes. This study aimed to investigate the factors associated with the lack of blood pressure control in hypertensive Brazilians treated in public and private services. This is an analytical, multicentric, and national cross-sectional study, carried out with adult hypertensive patients, monitored in 45 outpatient clinics (September 2013 to October 2015) in a prospective record interview, clinical, and anthropometric assessment. Outcome variables included uncontrolled pressure (systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg). Simple and multiple logistic regression analyses were performed. Two thousand six hundred forty-three participants were assessed with a mean age of 61.6 ± 11.9 years, 55.7% of women, and 46.4% with uncontrolled blood pressure (BP). The following were associated with uncontrolled BP: age over 60 years (OR: 1.31 [1.11-1.55]); practice of irregular physical activity (OR: 1.28 [1.06-1.55]); attending the emergency room for hypertensive crises in the last six months (OR: 1.80 [1.46-2.22]); increased body mass index (OR: 1.02 [1.01-1.04]); low adherence to drug treatment (OR: 1.22 [1.04-1.44]) and menopause (OR: 1.36 [1.07-1.72]). The following were negatively associated: fruit consumption (OR: 0.90 [0.85-0.94]); presence of dyslipidemia (OR: 0.75 [0.64-0.89]), acute myocardial infarction (OR: 0.59 [0.46-0.76]), and peripheral arterial disease (OR: 0.52 [0.34-0.78]). Factors associated with difficult-to-control blood pressure are the same that increase the risk for hypertension, while the presence of atherosclerotic disease and its outcomes were associated with better control.

Atenção, regulação e vigilância / Attention, regulation and surveillance

Relato de experiências das unidades da Secretaria de Estado da Saúde de Goiás, no período de 2019 a 2022. Relata sobre a regionalização dos serviços de saúde, processo que possibilita a definição de recortes espaciais para fins de planejamento, organização e gestão de redes de ações e serviços de saúde. Discorre sobre o financiamento da Atenção Primária em Saúde, a estruturação da Rede Estadual de Policlínicas, o planejamento da alta hospitalar responsável ou desospitalização, os avanços e equipes especializadas em saúde mental

Report on the experiences of the units of the State Department of Health of Goiás, from 2019 to 2022. It reports on the regionalization of health services, a process that allows the definition of spatial cuts for planning, organization and management of action networks and health services. Discusses the financing of Primary Health Care, the structuring of the State Network of Polyclinics, the planning of responsible hospital discharge or dehospitalization, advances and specialized teams in mental health

Occurrence and inequalities by education in multimorbidity in Brazilian adults between 2013 and 2019: evidence from the National Health Survey.

OBJECTIVE: The aims of this study were: 1) to estimate the prevalence of multimorbidity in 2013 and 2019 in adults aged 20-59 years; 2) to assess inequalities in the prevalence of multimorbidity in 2013 and 2019 according to educational level. METHODS: Data from two cross-sectional surveys from the Brazilian National Health Survey in 2013 and 2019 were used. Multimorbidity was assessed from 14 lifetime self-reported morbidities (except back problems) and defined using the cutoff point of ≥2 diseases. The prevalence of multimorbidity and individual morbidities were described according to gender, age, skin color, and education. For education, crude, and relative inequalities in prevalence of multimorbidity were calculated using the Slope Index of Inequality and the Concentration Index, respectively. RESULTS: The prevalence of multimorbidity increased from 18.7% (95%CI 18.0-19.3) in 2013 to 22.3% (95%CI 21.7-22.9) in 2019, being higher among women and adults between 30-59 years in both periods. Asthma/bronchitis, depression, and back problems were the conditions that increased the most in the study period. Absolute and relative inequalities by education status were observed in the study period, with worse multimorbidity profiles among the less educated. CONCLUSION: The prevalence of multimorbidity increased between 2013 and 2019. Inequalities in the prevalence of multimorbidity were observed according to educational level.

Occurrence and inequalities by education in multimorbidity in Brazilian adults between 2013 and 2019: evidence from the National Health Survey / Ocorrência e desigualdades por escolaridade em multimorbidade em adultos brasileiros entre 2013 e 2019: evidências da Pesquisa Nacional de Saúde

Objective The objectives of this study were: 1) to estimate the prevalence of multimorbidity in 2013 and 2019 in adults aged 20 to 59 years; 2) assess inequalities in the prevalence of multimorbidity in 2013 and 2019 according to educational level. Methods We used data from two cross-sectional surveys from the Brazilian National Health Survey (PNS) in 2013 and 2019. Multimorbidity was assessed from 14 lifetime self-reported morbidities (except back problems) and defined using the cutoff point of ≥ 2 diseases. The prevalence of multimorbidity and individual morbidities were described according to sex, age, skin color, and education. For education, crude, and relative inequalities in prevalence of multimorbidity were calculated using the Slope Index of Inequality (SII) and the Concentration Index (CIX), respectively. Results The prevalence of multimorbidity increased from 18.7% (95%: CI 18.0-19.3) in 2013 to 22.3% (95%: CI 21.7-22.9) in 2019, being higher among women and adults between 30-59 years. Asthma/bronchitis, depression, and back problems were the conditions that increased the most in the study period. Absolute and relative inequalities by education status were observed in the study period, with worse multimorbidity profiles among the less educated. Conclusion The prevalence of multimorbidity increased between 2013 and 2019. Inequalities in the prevalence of multimorbidity were observed according to educational level.

Objetivos Os objetivos do presente estudo foram: 1) estimar a prevalência de multimorbidade nos anos de 2013 e 2019 em adultos de 18 a 59 anos; 2) avaliar as desigualdades na prevalência de multimorbidade em 2013 e 2019 de acordo com escolaridade. Métodos Foram utilizados dados de dois inquéritos transversais da Pesquisa Nacional de Saúde (PNS) de 2013 e 2019. A multimorbidade foi avaliada a partir de 14 morbidades autorreferidas a partir de diagnóstico médico na vida (exceto problema na coluna) e definida usando o ponto de corte de ≥ 2 doenças. As prevalências de multimorbidade e morbidades individuais foram descritas de acordo com sexo, idade, cor da pele e escolaridade. Desigualdades brutas e relativas nas prevalências conforme escolaridade foram calculadas utilizando o Slope Index of Inequality (SII) e o Concentration Index (CIX), respectivamente. Resultados A prevalência de multimorbidade aumentou de 18,7% (IC 95%: 18,0-19,3) em 2013 para 22,3% (IC 95%: 21,7-22,9) em 2019, sendo maior entre mulheres e adultos entre 30-59 anos em ambos os períodos. Asma/bronquite, depressão e problemas na coluna foram as condições que mais aumentaram no período. Desigualdades absolutas e relativas foram observadas, com prevalências superiores entre os menos escolarizados e sem diferença entre os anos. Conclusões A prevalência de multimorbidade aumentou no período entre 2013 e 2019. Desigualdades na prevalência de multimorbidade foram observadas de acordo com escolaridade.

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.