Temporal Trend of Severe Obesity in Brazilian State Capitals (2006–2021)

Obesities Pub Date : 2023-04-01 DOI:10.3390/obesities3020010
F. B. Dias, Tiago Feitosa da Silva, Yara de Moura Magalhães Lima, Luana Silva de Farias, Jhonatan Gomes Gadelha, A. A. Ramalho
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Abstract

The aim of this study was to analyze the trend of severe obesity in the capitals of the Brazilian states and the Federal District, from 2006 to 2021. For this purpose, a time-series, population-based, observational study was designed using data from the VIGITEL Survey. The dependent variable of this study was the prevalence of severe obesity, which was defined as a body mass index ≥ 40 kg/m2. Time series analysis was conducted using Joinpoint Regression Analysis Software v.4.9.1.0. In this study, a normal distribution was assumed, and the average annual percentage change (AAPC) and 95% confidence intervals (95% CIs) were presented. In total, 778,445 individuals participated in the study (38.2% were male and 61.8% were female). The prevalence of severe obesity has increased from 1.1% in 2006 to 1.9% in 2021. The average annual percentage change indicates an upward trend for the period (AAPC: 4.7; 95% CI: 3.8; 5.7). When stratifying the trend of severe obesity by sex, a significant upward trend was observed for females (AAPC: 4.3; 95% CI: 1.9; 6.8). There was a significant upward trend for all age groups, skin colors, and education levels. However, the older age groups and those with less education had lower AAPC.
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巴西各州首府严重肥胖的时间趋势(2006-2021)
本研究的目的是分析2006年至2021年巴西各州首府和联邦区严重肥胖的趋势。为此,使用VIGITEL调查的数据设计了一项时间序列、基于人群的观察性研究。本研究的因变量是严重肥胖的患病率,其定义为体重指数≥40 kg/m2。使用Joinpoint回归分析软件4.9.1.0版进行时间序列分析。在本研究中,假设了正态分布,并给出了平均年百分比变化(AAPC)和95%置信区间(95%CI)。总共有778445人参与了这项研究(38.2%为男性,61.8%为女性)。严重肥胖的患病率从2006年的1.1%上升到2021年的1.9%。平均年百分比变化表明这一时期有上升趋势(AAPC:4.7;95%CI:3.8;5.7)。当按性别对严重肥胖的趋势进行分层时,女性有显著的上升趋势(APC:4.3;95%CI:1.9;6.8)。所有年龄组、肤色和教育水平都有显著的增长趋势。然而,年龄较大的人群和受教育程度较低的人群AAPC较低。
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