Thayna Flores

Dr. Thayna Flores


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
16 March 2023 in Obesity Reviews
Verified
Journal Article
Closed access
FDFelipe Mendes Delpino
Felipe Mendes Delpino
ARAna Paula dos Santos Rodrigues
Ana Paula dos Santos Rodrigues
GPGlenda Blaser Petarli
Glenda Blaser Petarli
KMKarla Pereira Machado
Karla Pereira Machado
TFThayna Flores
Thayna Flores
BNBruno Pereira Nunes
Bruno Pereira Nunes

11 April 2024 in International Journal of Epidemiology
Verified
Journal Article
Open access
PDF file
JMJoseph Murray
Joseph Murray
OLOtavio Amaral de Andrade Leão
Otavio Amaral de Andrade Leão
TFThayna Flores
Thayna Flores
FDFlavio Fernando Demarco
Flavio Fernando Demarco
LTLuciana Tovo-Rodrigues
Luciana Tovo-Rodrigues
PHPedro Curi Hallal
Pedro Curi Hallal
The 2015 Pelotas (Brazil) Birth Cohort is a prospective study of all children born between 1 January and 31 December 2015 to women living in Pelotas city. 1 Pelotas is a relatively poor city in Southern Brazil; see Table 1 for comparisons between Pelotas and Brazil on several socioeconomic indicators, infant mortality rates and violence. The 2015 cohort is the fourth in a series of similar cohort studies in Pelotas, which included children born in 1982, 1993 and 2004. The 2015 cohort was the first to include an assessment during pregnancy. The original aims were to investigate early life exposures for health outcomes, with special attention to physical activity and social inequalities. The original cohort profile 1 described follow-ups in pregnancy, at birth and at ages 3 and 12 months. Two nested randomized trials of an exercise intervention in pregnancy 2 and an infant-sleep intervention 3 were also described.

12 February 2018 in European Journal of Clinical Nutrition
Verified
Journal Article
Closed access
PDF file
TFThayna Flores
Thayna Flores
GMGregore Mielke
Gregore Mielke
Andrea WendtAndrea Wendt
Andrea Wendt
BNBruno P Nunes
Bruno P Nunes
ABAndréa Dâmaso Bertoldi
Andréa Dâmaso Bertoldi

1 January 2021 in Cadernos de Saude Publica
Verified
Journal Article
Open access
FCFrancine Dos Santos Costa
Francine Dos Santos Costa
Andrea WendtAndrea Wendt
Andrea Wendt
CCCaroline Costa
Caroline Costa
LCLuiz Alexandre Chisini
Luiz Alexandre Chisini
BABernardo Agostini
Bernardo Agostini
FDFlavio FERNANDO Demarco
Flavio FERNANDO Demarco
The aim of the study is: (a) investigate the racial inequalities as one specific dimension that affects dental pain in Brazilian adolescents; and (b) investigate the regional variations of dental pain. This cross-sectional study used data from Brazilian National Survey of School Health (PeNSE), carried out with adolescents in 2009, 2012 and 2015. Dental pain was evaluated through the question: “Did you have dental pain in the last six months?”. The main exposures were race and Brazilian regions, used to evaluate inequalities related to the outcome. Sex, age, school type and maternal education were used as covariables. The statistical significance of the trends in dental pain was tested using linear regression. The analysis was conducted in Stata 13.0 statistical package using the svy command. The standard prevalence of dental pain was 18.8%, 21.1% and 23.7%, showing an increasing trend over time (p < 0.001). We observed absolute inequalities in dental pain related to race and regions. A higher prevalence was found in non-white girls of public schools and in the Northern Region. The indexes of inequalities increased in the group of black girls, related to an increase of dental pain predominantly in girls whose mothers had lower educational level. It was observed that the prevalence of dental pain in Brazilian adolescents increased over time as well as its inequalities, which remained in marginalized populations and linked to Brazilian regions.

3 May 2021 in International Journal of Obesity
Verified
Journal Article
Closed access
PDF file
WBWendy J Brown
Wendy J Brown
TFThayna Flores
Thayna Flores
SKShelley Keating
Shelley Keating
GMGregore Mielke
Gregore Mielke

1 January 2019 in Cadernos de Saude Publica
Verified
Journal Article
Open access
PDF file
Andrea WendtAndrea Wendt
Andrea Wendt
CCCaroline dos Santos Costa
Caroline dos Santos Costa
AMAdriana Machado
Adriana Machado
FCFrancine Dos Santos Costa
Francine Dos Santos Costa
RNRosália Garcia Neves
Rosália Garcia Neves
FWFernando César Wehrmeister
Fernando César Wehrmeister
This study aims to describe the prevalence of sleep disturbances and daytime fatigue and their association with socio-demographic and behavioral factors. Data from the Brazilian National Health Survey conducted in 2013 with 60,202 adults (≥ 18 years old) were used. The outcomes evaluated were self-reported sleep disturbances and daytime fatigue in the last two weeks. Sleep disturbance was defined as the presence of difficulty to fall asleep, frequently waking up during the night or sleeping more than usual; daytime fatigue was defined as the presence of not feeling rested and motivated during the day, feeling tired and lacking energy. Sociodemographic, lifestyle and chronic health aspects were explored as exposures for both outcomes. Prevalence of sleep disturbances and daytime fatigue were 14.9% (14.4-15.4) and 11.9% (11.4-12.3), respectively. Both outcomes were more common in women, older people, people with no formal education, smokers and among physically inactive individuals. The association with education was inverse (the highest the level of education the lower the prevalence ratio - PR - of sleep disturbances and daytime fatigue; adjusted p-value for trend < 0.001). Prevalence of sleep disturbances combined with daytime fatigue was 6.7% (6.4-7.1) and was about 6 times higher among those with three or more chronic health disturbances (PR = 6.2; 95%CI: 5.3-7.2). Strategies to decrease the prevalence of sleep disturbances and daytime fatigue should be encouraged and focused on chronically ill individuals that share other modifiable risk factors.