Diana Parra

Dr. Diana Parra

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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1 July 2012 in The Lancet
Verified
Journal Article
Closed access
Gregory Wayne HeathGregory Wayne Heath
Gregory Wayne Heath
DPDiana Parra
Diana Parra
OSOlga Sarmiento
Olga Sarmiento
LALars Bo Andersen
Lars Bo Andersen
NONeville Owen
Neville Owen
RBRoss C Brownson
Ross C Brownson

1 January 2010 in Journal of Physical Activity and Health
Verified
Journal Article
Closed access
PDF file
PHPedro C. Hallal
Pedro C. Hallal
LGLuis Gomez
Luis Gomez
DPDiana Parra
Diana Parra
FLFelipe Lobelo
Felipe Lobelo
JMJaneth Mosquera
Janeth Mosquera
OSOlga Sarmiento
Olga Sarmiento
Background: To describe the lessons learned after 10 years of use of the International Physical Activity Questionnaire (IPAQ) in Brazil and Colombia, with special emphasis on recommendations for future research in Latin America using this instrument.Methods: We present an analytical commentary, based on data from a review of the Latin American literature, as well as expert consultation and the authors' experience in administering IPAQ to over 43,000 individuals in Brazil and Colombia between 1998 and 2008.Results: Validation studies in Latin America suggest that the IPAQ has high reliability and moderate criteria validity in comparison with accelerometers. Cognitive interviews suggested that the occupational and housework sections of the long IPAQ lead to confusion among respondents, and there is evidence that these sections generate overestimated scores of physical activity. Because the short IPAQ considers the 4 physical activity domains altogether, people tend to provide inaccurate answers to it as well.Conclusions: Use of the leisure-time and transport sections of the long IPAQ is recommended for surveillance and studies aimed at documenting physical activity levels in Latin America. Use of the short IPAQ should be avoided, except for maintaining consistency in surveillance when it has already been used at baseline.

1 April 2010 in Social Science & Medicine
Verified
Journal Article
Closed access
DPDiana Parra
Diana Parra
LGLuis Gomez
Luis Gomez
OSOlga Sarmiento
Olga Sarmiento
DBDavid Buchner
David Buchner
RBRoss Brownson
Ross Brownson
FLFelipe Lobelo
Felipe Lobelo

1 June 2010 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
LGLuis Gomez
Luis Gomez
DPDiana Parra
Diana Parra
DBDavid Buchner
David Buchner
RBRoss C. Brownson
Ross C. Brownson
OSOlga Sarmiento
Olga Sarmiento
FLFelipe Lobelo
Felipe Lobelo

1 March 2008 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
CHChristine M. Hoehner
Christine M. Hoehner
JSJesus Soares
Jesus Soares
DPDiana Parra
Diana Parra
IRIsabela C. Ribeiro
Isabela C. Ribeiro
CJCorinne E. Joshu
Corinne E. Joshu
RBRoss C. Brownson
Ross C. Brownson

7 December 2017 in PeerJ
Verified
Journal Article
Open access
PDF file
KRKarthik W. Rohatgi
Karthik W. Rohatgi
RTRachel A. Tinius
Rachel A. Tinius
WCW. Todd Cade
W. Todd Cade
ESEuridice Martínez Steele
Euridice Martínez Steele
ACAlison G. Cahill
Alison G. Cahill
DPDiana Parra
Diana Parra
Background: An increasingly large share of diet comes from ultra-processed foods (UPFs), which are assemblages of food substances designed to create durable, convenient and palatable ready-to-eat products. There is increasing evidence that high UPF consumption is indicative of poor diet and is associated with obesity and metabolic disorders. This study sought to examine the relationship between percent of energy intake from ultra-processed foods (PEI-UPF) during pregnancy and maternal gestational weight gain, maternal lipids and glycemia, and neonatal body composition. We also compared the PEI-UPF indicator against the US government’s Healthy Eating Index-2010 (HEI-2010).Methods: Data were used from a longitudinal study performed in 2013–2014 at the Women’s Health Center and Obstetrics & Gynecology Clinic in St. Louis, MO, USA. Subjects were pregnant women in the normal and obese weight ranges, as well as their newborns (n = 45). PEI-UPF and the Healthy Eating Index-2010 (HEI-2010) were calculated for each subject from a one-month food frequency questionnaire (FFQ). Multiple regression (ANCOVA-like) analysis was used to analyze the relationship between PEI-UPF or HEI-2010 and various clinical outcomes. The ability of these dietary indices to predict clinical outcomes was also compared with the predictive abilities of total energy intake and total fat intake.Results: An average of 54.4 ± 13.2% of energy intake was derived from UPFs. A 1%-point increase in PEI-UPF was associated with a 1.33 kg increase in gestational weight gain (p = 0.016). Similarly, a 1%-point increase in PEI-UPF was associated with a 0.22 mm increase in thigh skinfold (p = 0.045), 0.14 mm in subscapular skinfold (p = 0.026), and 0.62 percentage points of total body adiposity (p = 0.037) in the neonate.Discussion: PEI-UPF (percent of energy intake from ultra-processed foods) was associated with and may be a useful predictor of increased gestational weight gain and neonatal body fat. PEI-UPF was a better predictor of all tested outcomes than either total energy or fat intake, and a better predictor of the three infant body fat measures than HEI-2010. UPF consumption should be limited during pregnancy and diet quality should be maximized in order to improve maternal and neonatal health.