{"title":"巴西肥胖症及相关非传染性疾病的成本:对入院人数、伤残退休福利和法定病假工资的分析。","authors":"Eduardo Botti Abbade","doi":"10.1016/j.puhe.2024.10.006","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>This study analyses the prevalence of overweight/obesity in Brazil, and its costs regarding hospital admissions (HA), disability retirement benefits (DRB), and statutory sick pay (SSP) associated with obesity-related non-communicable diseases (NCDs).</div></div><div><h3>Study design</h3><div>Time-series study.</div></div><div><h3>Methods</h3><div>This study analyses data from the VIGITEL system (2010–2019) to calculate the body-mass index (BMI) of adult residents in Brazil's state capitals. Data on HA, DRB, and SSP were obtained from Brazil's SIH/SUS and AEPS Infologo systems. Pearson's correlation and linear regression models were applied. The study selected 23 diseases of the International Classification of Disease (ICDs) belonging to chapters C; E; I; and K. Cost values in BRL were deflated using IPCA.</div></div><div><h3>Results</h3><div>The results showed a significant increase in overweight and obesity rates in Brazil, with BMI rising by 0.09 kg/m<sup>2</sup> annually. Regression analysis revealed that each 1-point increase in the average BMI of the population is associated with an increase of 81,772 (BRL 237.51 million/year) new HA per year, 5541 (BRL 18.8 million/year) new DRB granted per year, and 42,360 (BRL 131 million/year) new SSP per year. Also, every 1 % increase in the share of the Brazilian population with obesity is associated with an increase of 16,973 (BRL 48.8 million/year) new HA per year, 1202 (BRL 3.97 million/year) new DRB granted per year, and 8686 (BRL 26.8 million/year) new SSP per year. Regressions for deflated values showed lower significance, suggesting a strong impact of inflation on health costs in Brazil.</div></div><div><h3>Conclusions</h3><div>Obesity prevalence in Brazil implies high direct and indirect costs for the Brazilian government, especially considering circulatory system diseases.</div></div>","PeriodicalId":49651,"journal":{"name":"Public Health","volume":"237 ","pages":"Pages 184-192"},"PeriodicalIF":3.9000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The cost of obesity and related NCDs in Brazil: An analysis of hospital admissions, disability retirement benefits, and statutory sick pay\",\"authors\":\"Eduardo Botti Abbade\",\"doi\":\"10.1016/j.puhe.2024.10.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>This study analyses the prevalence of overweight/obesity in Brazil, and its costs regarding hospital admissions (HA), disability retirement benefits (DRB), and statutory sick pay (SSP) associated with obesity-related non-communicable diseases (NCDs).</div></div><div><h3>Study design</h3><div>Time-series study.</div></div><div><h3>Methods</h3><div>This study analyses data from the VIGITEL system (2010–2019) to calculate the body-mass index (BMI) of adult residents in Brazil's state capitals. Data on HA, DRB, and SSP were obtained from Brazil's SIH/SUS and AEPS Infologo systems. Pearson's correlation and linear regression models were applied. The study selected 23 diseases of the International Classification of Disease (ICDs) belonging to chapters C; E; I; and K. Cost values in BRL were deflated using IPCA.</div></div><div><h3>Results</h3><div>The results showed a significant increase in overweight and obesity rates in Brazil, with BMI rising by 0.09 kg/m<sup>2</sup> annually. Regression analysis revealed that each 1-point increase in the average BMI of the population is associated with an increase of 81,772 (BRL 237.51 million/year) new HA per year, 5541 (BRL 18.8 million/year) new DRB granted per year, and 42,360 (BRL 131 million/year) new SSP per year. Also, every 1 % increase in the share of the Brazilian population with obesity is associated with an increase of 16,973 (BRL 48.8 million/year) new HA per year, 1202 (BRL 3.97 million/year) new DRB granted per year, and 8686 (BRL 26.8 million/year) new SSP per year. Regressions for deflated values showed lower significance, suggesting a strong impact of inflation on health costs in Brazil.</div></div><div><h3>Conclusions</h3><div>Obesity prevalence in Brazil implies high direct and indirect costs for the Brazilian government, especially considering circulatory system diseases.</div></div>\",\"PeriodicalId\":49651,\"journal\":{\"name\":\"Public Health\",\"volume\":\"237 \",\"pages\":\"Pages 184-192\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0033350624004177\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033350624004177","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
The cost of obesity and related NCDs in Brazil: An analysis of hospital admissions, disability retirement benefits, and statutory sick pay
Objectives
This study analyses the prevalence of overweight/obesity in Brazil, and its costs regarding hospital admissions (HA), disability retirement benefits (DRB), and statutory sick pay (SSP) associated with obesity-related non-communicable diseases (NCDs).
Study design
Time-series study.
Methods
This study analyses data from the VIGITEL system (2010–2019) to calculate the body-mass index (BMI) of adult residents in Brazil's state capitals. Data on HA, DRB, and SSP were obtained from Brazil's SIH/SUS and AEPS Infologo systems. Pearson's correlation and linear regression models were applied. The study selected 23 diseases of the International Classification of Disease (ICDs) belonging to chapters C; E; I; and K. Cost values in BRL were deflated using IPCA.
Results
The results showed a significant increase in overweight and obesity rates in Brazil, with BMI rising by 0.09 kg/m2 annually. Regression analysis revealed that each 1-point increase in the average BMI of the population is associated with an increase of 81,772 (BRL 237.51 million/year) new HA per year, 5541 (BRL 18.8 million/year) new DRB granted per year, and 42,360 (BRL 131 million/year) new SSP per year. Also, every 1 % increase in the share of the Brazilian population with obesity is associated with an increase of 16,973 (BRL 48.8 million/year) new HA per year, 1202 (BRL 3.97 million/year) new DRB granted per year, and 8686 (BRL 26.8 million/year) new SSP per year. Regressions for deflated values showed lower significance, suggesting a strong impact of inflation on health costs in Brazil.
Conclusions
Obesity prevalence in Brazil implies high direct and indirect costs for the Brazilian government, especially considering circulatory system diseases.
期刊介绍:
Public Health is an international, multidisciplinary peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health.