Lucas B M Machado1, Bianca L S Silva1, Ana P Garcia1, Renata A M Oliveira1, Sandhi M Barreto2, Maria de Jesus M Fonseca3, Paulo A Lotufo4, Isabela M Bensenor4, Itamar S Santos5. 1. Centro de Pesquisa Clínica do Hospital Universitário da Universidade de São Paulo, Brazil; Programa de Residência Médica em Medicina de Família e Comunidade da Faculdade de Medicina da Universidade de São Paulo, Brazil. 2. Departamento de Medicina Preventiva e Social da Faculdade de Medicina da Universidade Federal de Minas Gerais, Brazil. 3. Departamento de Epidemiologia e Métodos Quantitativos da Escola Nacional de Saúde Pública da Fundação Oswaldo Cruz, Brazil. 4. Centro de Pesquisa Clínica do Hospital Universitário da Universidade de São Paulo, Brazil; Departamento de Clínica Médica da Faculdade de Medicina da Universidade de São Paulo, Brazil. 5. Centro de Pesquisa Clínica do Hospital Universitário da Universidade de São Paulo, Brazil; Departamento de Clínica Médica da Faculdade de Medicina da Universidade de São Paulo, Brazil. Electronic address: itamarss@usp.br.
Abstract
BACKGROUND: The American Heart Association's ideal cardiovascular health (ICH) define criteria for seven metrics, four classified as lifestyle factors (diet, physical activity, smoking and body-mass index) and four classified as health factors (smoking, blood pressure, fasting plasma glucose and total cholesterol). We aimed to analyze ICH scores at the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline assessment and the associations with sociodemographic characteristics (age, sex, race, educational level, and family income). METHODS: We analyzed 13,356 ELSA-Brasil participants without cardiovascular disease using quasi-Poisson regression models to study the association between the ICH score and sociodemographic characteristics. RESULTS: Mean ICH scores were 2.5±1.3. Only 1047 (7.8%) participants had 5 or more ICH metrics. In adjusted models, age 65-74years was associated with lower ICH scores (-35.4%; 95% confidence interval [CI]: -37.6% to -33.1%) compared to age 35-44years. Women had higher ICH scores compared to men (+13.8%; 95%CI: +11.8% to +15.7%), mainly due to differences in the health factor ICH metrics. Participants of Black race had lower ICH scores compared to those of White race (-9.4%; 95%CI: -11.8% to -7.0%). Individuals with less than high school education had lower ICH scores than college-educated individuals (-17.2%; 95%CI: -20.0% to -14.2%). Low (<1245 USD) family income was also associated with lower ICH scores compared to those with high (≥3320 USD) family income (-4.4%, 95%CI: -7.2% to -1.6%). CONCLUSIONS: We found a low proportion of individuals with 5 or more ICH metrics. Age, sex, race, educational level and income were associated with ICH scores.
BACKGROUND: The American Heart Association's ideal cardiovascular health (ICH) define criteria for seven metrics, four classified as lifestyle factors (diet, physical activity, smoking and body-mass index) and four classified as health factors (smoking, blood pressure, fasting plasma glucose and total cholesterol). We aimed to analyze ICH scores at the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline assessment and the associations with sociodemographic characteristics (age, sex, race, educational level, and family income). METHODS: We analyzed 13,356 ELSA-Brasil participants without cardiovascular disease using quasi-Poisson regression models to study the association between the ICH score and sociodemographic characteristics. RESULTS: Mean ICH scores were 2.5±1.3. Only 1047 (7.8%) participants had 5 or more ICH metrics. In adjusted models, age 65-74years was associated with lower ICH scores (-35.4%; 95% confidence interval [CI]: -37.6% to -33.1%) compared to age 35-44years. Women had higher ICH scores compared to men (+13.8%; 95%CI: +11.8% to +15.7%), mainly due to differences in the health factor ICH metrics. Participants of Black race had lower ICH scores compared to those of White race (-9.4%; 95%CI: -11.8% to -7.0%). Individuals with less than high school education had lower ICH scores than college-educated individuals (-17.2%; 95%CI: -20.0% to -14.2%). Low (<1245 USD) family income was also associated with lower ICH scores compared to those with high (≥3320 USD) family income (-4.4%, 95%CI: -7.2% to -1.6%). CONCLUSIONS: We found a low proportion of individuals with 5 or more ICH metrics. Age, sex, race, educational level and income were associated with ICH scores.
Authors: Gisoo Alizadeh; Kamal Gholipour; Saber Azami-Aghdash; Reza Dehnavieh; Mohammad Asghari JafarAbadi; Mehrdad Azmin; Rahim Khodayari-Zarnaq Journal: Int J Prev Med Date: 2022-04-27
Authors: Priscila T P Rocco; Isabela M Bensenor; Rosane H Griep; Sandhi M Barreto; Arlinda B Moreno; Airlane P Alencar; Paulo A Lotufo; Itamar S Santos Journal: J Am Heart Assoc Date: 2019-10-10 Impact factor: 5.501
Authors: Tiana C L Moreira; Jefferson L Polizel; Itamar de Souza Santos; Demóstenes F Silva Filho; Isabela Bensenor; Paulo A Lotufo; Thais Mauad Journal: Int J Environ Res Public Health Date: 2020-01-22 Impact factor: 3.390