Daniela Saes Sartorelli

Prof. Dr. Daniela Saes Sartorelli

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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1 March 2013 in The American Journal of Clinical Nutrition
Verified
Journal Article
Open access
PDF file
GFGuy Fagherazzi
Guy Fagherazzi
AVAlice Vilier
Alice Vilier
DSDaniela Saes Sartorelli
Daniela Saes Sartorelli
MLMartin Lajous
Martin Lajous
BBBeverley Balkau
Beverley Balkau
FCFrançoise Clavel-Chapelon
Françoise Clavel-Chapelon
Background: It has been extensively shown, mainly in US populations, that sugar-sweetened beverages (SSBs) are associated with increased risk of type

1 July 2011 in Value in Health
Verified
Journal Article
Closed access
LBLuciana R. Bahia
Luciana R. Bahia
DADenizar Vianna Araujo
Denizar Vianna Araujo
BSBeatriz Schaan
Beatriz Schaan
SDSérgio A. Dib
Sérgio A. Dib
CNCarlos Antônio Negrato
Carlos Antônio Negrato
LFLaércio J. Franco
Laércio J. Franco

1 January 2003 in Cadernos de Saude Publica
Verified
Journal Article
Open access
PDF file
DSDaniela Saes Sartorelli
Daniela Saes Sartorelli
LFLaércio Joel Franco
Laércio Joel Franco
A prevalência do diabetes mellitus tipo 2 tem se elevado vertiginosamente e espera-se ainda um maior incremento. Na América Latina há uma tendência do aumento da freqüência entre as faixas etárias mais jovens, cujo impacto negativo sobre a qualidade de vida e a carga da doença ao sistema de saúde é relevante. O aumento das taxas de sobrepeso e obesidade associado às alterações do estilo de vida e ao envelhecimento populacional, são os principais fatores que explicam o crescimento da prevalência do diabetes tipo 2. As modificações no consumo alimentar da população brasileira - baixa freqüência de alimentos ricos em fibras, aumento da proporção de gorduras saturadas e açúcares da dieta - associadas a um estilo de vida sedentário compõem um dos principais fatores etiológicos da obesidade, diabetes tipo 2 e outras doenças crônicas. Programas de prevenção primária do diabetes vêm sendo desenvolvidos em diversos países, cujos resultados demonstram um impacto positivo sobre a qualidade de vida da população.

1 April 2010 in The American Journal of Clinical Nutrition
Verified
Journal Article
Open access
PDF file
DSDaniela Saes Sartorelli
Daniela Saes Sartorelli
GFGuy Fagherazzi
Guy Fagherazzi
BBBeverley Balkau
Beverley Balkau
MTMarina S Touillaud
Marina S Touillaud
MBMarie-Christine Boutron-Ruault
Marie-Christine Boutron-Ruault
FCFrançoise Clavel-Chapelon
Françoise Clavel-Chapelon
Background: Coffee consumption has been associated with a lower risk of diabetes, but little is known about the mechanisms responsible for this assoc

1 May 2008 in Nutrition
Verified
Journal Article
Closed access
FFFernanda Fumagalli
Fernanda Fumagalli
JMJacqueline Pontes Monteiro
Jacqueline Pontes Monteiro
DSDaniela Saes Sartorelli
Daniela Saes Sartorelli
MVMarta Neves Campanelli Marçal Vieira
Marta Neves Campanelli Marçal Vieira
MBMaria de Lourdes Pires Bianchi
Maria de Lourdes Pires Bianchi

1 January 2019 in Cadernos de Saude Publica
Verified
Journal Article
Open access
PDF file
DSDaniela Saes Sartorelli
Daniela Saes Sartorelli
LCLívia Castro Crivellenti
Lívia Castro Crivellenti
DZDaniela Cristina Candelas Zuccolotto
Daniela Cristina Candelas Zuccolotto
LFLaércio Joel Franco
Laércio Joel Franco
This study aimed to investigate the relationship between food intake (considering the nature, extent, and purpose of food processing) during pregnancy and overweight, obesity, and gestational diabetes mellitus conditions. This is a cross-sectional study conducted among 785 adult women in singleton pregnancies (between 24th and 39th weeks of gestation) in Brazil. Usual food intake was estimated by the Multiple Source Method, using two 24-hour dietary recalls. The food groups of interest in this study were the unprocessed or minimally processed foods and ultra-processed foods. The World Health Organization criteria for the diagnosis of gestational diabetes mellitus and the Atalah criteria for excess weight were used. Adjusted multinomial logistic regression models were used to assess the relationship between energy contribution (%E) from foods with overweight and obesity conditions and, adjusted logistic regression models for gestational diabetes mellitus. In total, 32.1% participants were overweight, 24.6% were obese, and 17.7% of women were diagnosed with gestational diabetes mellitus . After adjustments, an inverse association between the highest tertile of %E from the intake of unprocessed or minimally processed foods and obesity was found [0.49 (0.30-0.79)]. Moreover, a positive association between the highest tertile of %E from ultra-processed food intake [3.06 (1.27-3.37)] and obesity was observed. No association between food intake (considering the nature, extent, and purpose of food processing) during pregnancy and overweight or gestational diabetes mellitus was found. The findings suggest a role of food processing in obesity but not in gestational diabetes mellitus. Further research is warranted to provide robust evidence on the relationship between the role of processed foods in obesity and gestational diabetes mellitus.