Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Flores TR

PROVIDER: S-EPMC8277594 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Publications

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

Flores Thaynã Ramos TR Rodrigues Ana Paula Dos Santos APDS Neves Rosália Garcia RG Batista Sandro Rodrigues SR Teixeira Doralice Severo da Cruz DSDC Silveira Erika Aparecida da EAD Malta Deborah Carvalho DC Nunes Bruno Pereira BP

Journal of obesity & metabolic syndrome 20210601 2

<h4>Background</h4>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.<h4>Methods</h4>This was a cross-sectional population-based study with data from the National Health Survey (2013) including individuals age ...[more]

PMID: 33972471

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Project description:BackgroundOral diseases are a significant global public health challenge. Current evidence indicates that several chronic conditions are individually associated with tooth loss. People are living with more than one chronic condition, known as multimorbidity (MM). Considering the common risk factors for oral and chronic diseases, this study aimed to evaluate the association between MM and tooth loss in the Chilean population.MethodsCross-sectional study with secondary data from the latest Chilean National Health Survey (ENS 2016-17). The number of remaining teeth was classified into four groups: functional dentition (≥ 20 remaining teeth), moderate tooth loss (10 to 19), severe tooth loss (1 to 9), and edentulism (0). MM was defined based on the number of chronic conditions as a binary variable (MM≥ 2) and as a 4-level categorical variable (MMG0-G3), G0: none, G1: 1, G2: 2-4, and G3: ≥5 conditions. Stratified analysis by age group (< 65, ≥ 65 years) was performed. Mean and SD were calculated for crude and adjusted remaining teeth. Significance level was set to 0.05. Prevalence ratios were estimated with Poisson regression models with robust variance, crude and adjusted for sex, age, geographic area, and educational level. Logistic regressions models were fitted to calculate odds ratios as a sensitivity analysis.ResultsOf 4,151 adults aged 17-98, 54.9% had MM and the prevalence of moderate, severe tooth loss and edentulism was 25.4%, 6.9% and 4.8% respectively. Adults aged ≥ 65 years with MM≥ 2 were 1.66 [1.04-2.66] times more likely to have severe tooth loss than those without MM. Adults aged < 65 years with MMG3 were 1.76 [1.12-2.77] times more likely to have moderate tooth loss and 2.55 [1.02-6.36] times more likely to have severe tooth loss than those without MM.ConclusionsIn this study, we found statistically significant associations between the number of chronic conditions and moderate/severe tooth loss in both analyzed age groups. These findings highlight the need to provide oral health care for adults with multimorbidity using a person-centred model and to seek strategies to prioritize health care.

Project description:The analyses of geographic variations in the prevalence of major chronic conditions, such as overweight and obesity, are an important public health tool to identify "hot spots" and inform allocation of funding for policy and health promotion campaigns, yet rarely performed. Here we aimed at exploring, for the first time in Luxembourg, potential geographic patterns in overweight/obesity prevalence in the country, adjusted for several demographic, socioeconomic, behavioural and health status characteristics. Data came from 720 men and 764 women, 25-64 years old, who participated in the European Health Examination Survey in Luxembourg (2013-2015). To investigate the geographical variation, geo-additive semi-parametric mixed model and Bayesian modelisations based on Markov Chain Monte Carlo techniques for inference were performed. Large disparities in the prevalence of overweight and obesity were found between municipalities, with the highest rates of obesity found in 3 municipalities located in the South-West of the country. Bayesian approach also underlined a nonlinear effect of age on overweight and obesity in both genders (significant in men) and highlighted the following risk factors: 1. country of birth for overweight in men born in a non-European country (Posterior Odds Ratio (POR): 3.24 [1.61-8.69]) and women born in Portugal (POR: 2.44 [1.25-4.43]), 2. low educational level (secondary or below) for overweight (POR: 1.66 (1.06-2.72)] and obesity (POR:2.09 [1.05-3.65]) in men, 3. single marital status for obesity in women (POR: 2.20 [1.24-3.91]), 4.fair (men: POR: 3.19 [1.58-6.79], women: POR: 2.24 [1.33-3.73]) to very bad health perception (men: POR: 15.01 [2.16-98.09]) for obesity, 5. sleeping more than 6 hours for obesity in unemployed men (POR: 3.66 [2.02-8.03]). Protective factors highlighted were: 1. single marital status against overweight (POR: [0.60 (0.38-0.96)]) and obesity (POR: 0.39 [0.16-0.84]) in men, 2. the fact to be widowed against overweight in women (POR: [0.30 (0.07-0.86)], as well as a non European country of birth (POR: 0.49 [0.19-0.98]), tertiary level of education (POR: 0.34 [0.18-0.64]), moderate alcohol consumption (POR: 0.54 [0.36-0.90]) and aerobic physical activity practice (POR: 0.44 [0.27-0.77]) against obesity in women. A double burden of environmental exposure due to historic mining and industrial activities and past economic vulnaribility in the South-West of the country may have participated to the higher prevalence of obesity found in this region. Other demographic, socioeconomic, behavioural and health status covariates could have been involved as well.

Dataset Information

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

Background

Methods

Results

Conclusion

Publications

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

Similar Datasets

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