Study of Health in Pomerode (SHIP-Brazil): aims, methodological issues and descriptive results

• Autor(a) principal: Santa Helena, Ernani Tiaraju de
• Data de Publicação: 2023
• Outros Autores: Sousa, Clóvis Arlindo de, Silveira, João Luiz Gurgel Calvet da, Nunes, Carlos Roberto de Oliveira, Azevedo, Luciane Coutinho de, Nilson, Luana Gabriele, Valente, Caroline, Prado, Rosana Leal do, Cordova, Caio Mauricio Mendes de, Batista, Keila Zaniboni Siqueira, Botelho, Tatiani Karini Rensi, Cunha, Angela Duebbers, Starke, Siegmar, Zimmermann, Sergio Luiz, Damasceno, Nágila Raquel Teixeira, Santos, Raul Dias, Ittermann, Till, Völzke, Henry, Markus, Marcello Ricardo Paulista
• Tipo de documento: preprint
• Idioma: eng
• Título da fonte: SciELO Preprints
• Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/7276
• topic: Métodos epidemiológicos; Coleta de dados; estudos epidemiológicos; coorte; Condições de saúde dos grupos étnicos; Epidemiological Methods; Data Collection; Epidemiologic studies; Cohort; Health of Ethnic Minorities

Background Few studies compared populations with similar genetic and culture background on different continents with standardized methods. Objective To describe methodological issues of the Study of Health in Pomerode - SHIP-Brazil and some characteristics of the participants of the baseline examination. Design and Setting Prospective, population-based cohort study of a representative sample of residents (aged 20 to 79 years) of Pomerode, Santa Catarina, Brazil. Methods Data for the baseline survey (from 2014 to 2018) were collected through interviews and medical examinations, including socio-demographic and lifestyle information, clinical and subclinical conditions, oral and mental health, among others. Biosamples (blood, urine, stool, and saliva) were collected and stored. Methods of data collection and quality control are described. Preliminary descriptive statistics were performed. Results The response rate was 67.6% (n=2,488 individuals). The Kappa test-retest of some variables varied from 0.54 to 1.0. German culture participants are older (46.5 vs 38.7 years), self-declared white (97.3% vs 82.1%), more frequently never smokers (71.4% vs 66.9%) but had higher risk of consuming alcohol (16.9% vs 13.4%) compared to participants with non-German background. Germans were taller (169 cm vs 166 cm), had greater abdominal circumference among men (101.9 cm vs 97.3 cm). Furthermore, they reported more multimorbidity (56.7% vs 43.6%) , had more arterial hypertension (30.7% vs 18.5%), but less depression (15.4% vs 19,1%) than non-Germans. Conclusions The interaction of genetic and social/environmental issues should be examined to understand the role of risk factors on clinical conditions observed.