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2. Windows of susceptibility and joint effects of prenatal and postnatal ambient air pollution and temperature exposure on asthma and wheeze in Mexican children

Author

Hu, Cheng-Yang, Gutierrez-Avila, Ivan, He, Mike Z., Lavigne, Éric, Alcala, Cecilia S., Yitshak-Sade, Maayan, Lamadrid-Figueroa, Hector, Tamayo-Ortiz, Marcela, Mercado-Garcia, Adriana, Just, Allan C., Gennings, Chris, Téllez-Rojo, Martha M, Wright, Robert O., Wright, Rosalind J., and Rosa, Maria José

Published
2024
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10. Differential Fat Accumulation in Early Adulthood According to Adolescent-BMI and Heavy Metal Exposure

Author

Betanzos-Robledo, Larissa, Téllez-Rojo, Martha M., Lamadrid-Figueroa, Hector, Roldan-Valadez, Ernesto, Peterson, Karen E., Jansen, Erica C., Basu, Nil, and Cantoral, Alejandra

Abstract

Introduction: Heavy metals such as Lead (Pb) and Mercury (Hg) can affect adipose tissue mass and function. Considering the high prevalence of exposure to heavy metals and obesity in Mexico, we aim to examine if exposure to Pb and Hg in adolescence can modify how fat is accumulated in early adulthood. Methods: This study included 100 participants from the ELEMENT cohort in Mexico. Adolescent Pb and Hg blood levels were determined at 14-16 years. Age- and sex-specific adolescent BMI Z-scores were calculated. At early adulthood (21-22 years), fat accumulation measurements were performed (abdominal, subcutaneous, visceral, hepatic, and pancreatic fat). Linear regression models with an interaction between adolescent BMI Z-score and Pb or Hg levels were run for each adulthood fat accumulation outcome with normal BMI as reference. Results: In adolescents with obesity compared to normal BMI, as Pb exposure increased, subcutaneous (p-interaction = 0.088) and visceral (p-interaction < 0.0001) fat accumulation increases. Meanwhile, Hg was associated with subcutaneous (p-interaction = 0.027) and abdominal (p-interaction = 0.022) fat deposition among adolescents with obesity. Conclusions: Heavy metal exposure in adolescence may alter how fat is accumulated in later periods of life.

Published
2022
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19. Risk of Postpartum Hemorrhage in Hypertensive Disorders of Pregnancy: Stratified by Severity.

Author

Cagino, Kristen A., Wiley, Rachel L., Ghose, Ipsita, Ciomperlik, Hailie N., Sibai, Baha M., Mendez-Figueroa, Hector, and Chauhan, Suneet P.

Subjects
RISK assessment, HYSTERECTOMY, VENTILATION, CEREBRAL anoxia-ischemia, VEINS, MULTIPLE regression analysis, BRONCHOPULMONARY dysplasia, POSTPARTUM hemorrhage, SEVERITY of illness index, PREGNANCY outcomes, RETROSPECTIVE studies, MULTIVARIATE analysis, PERINATAL death, DESCRIPTIVE statistics, HYPERTENSION in pregnancy, LONGITUDINAL method, NEONATAL necrotizing enterocolitis, THROMBOEMBOLISM, INTENSIVE care units, PREECLAMPSIA, APGAR score, SEIZURES (Medicine), MECONIUM aspiration syndrome, CONFIDENCE intervals, CEREBRAL hemorrhage, NEONATAL sepsis, DISEASE risk factors
Abstract

Objective We aimed to determine the composite maternal hemorrhagic outcome (CMHO) among individuals with and without hypertensive disorders of pregnancy (HDP), stratified by disease severity. Additionally, we investigated the composite neonatal adverse outcome (CNAO) among individuals with HDP who had postpartum hemorrhage (PPH) versus did not have PPH. Study Design Our retrospective cohort study included all singletons who delivered at a Level IV center over two consecutive years. The primary outcome was the rate of CMHO, defined as blood loss ≥1,000 mL, use of uterotonics, mechanical tamponade, surgical techniques for atony, transfusion, venous thromboembolism, intensive care unit admission, hysterectomy, or maternal death. A subgroup analysis was performed to investigate the primary outcome stratified by (1) chronic hypertension, (2) gestational hypertension and preeclampsia without severe features, and (3) preeclampsia with severe features. A multivariable regression analysis was performed to investigate the association of HDP with and without PPH on a CNAO which included APGAR <7 at 5 minutes, bronchopulmonary dysplasia, intraventricular hemorrhage, necrotizing enterocolitis, seizures, neonatal sepsis, meconium aspiration syndrome, ventilation >6 hours, hypoxic–ischemic encephalopathy, or neonatal death. Results Of 8,357 singletons, 2,827 (34%) had HDP. Preterm delivery <37 weeks, induction of labor, prolonged oxytocin use, and magnesium sulfate usage were more common in those with versus without HDP (p < 0.001). CMHO was higher among individuals with HDP than those without HDP (26 vs. 19%; adjusted relative risk [aRR] = 1.11, 95% CI: 1.01–1.22). In the subgroup analysis, only individuals with preeclampsia with severe features were associated with higher CMHO (n = 802; aRR = 1.52, 95% CI: 1.32–1.75). There was a higher likelihood of CNAO in individuals with both HDP and PPH compared to those with HDP without PPH (aRR = 1.49, 95% CI: 1.06–2.09). Conclusion CMHO was higher among those with HDP. After stratification, only those with preeclampsia with severe features had an increased risk of CMHO. Among individuals with HDP, those who also had a PPH had worse neonatal outcomes than those without hemorrhage. Key Points Individuals with HDP had an 11% higher likelihood of CMHO. After stratification, increased CMHO was limited to those with preeclampsia with severe features. There was a higher likelihood of CNAO in those with both HDP and PPH compared to HDP without PPH. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Prediction of COVID-19 Severity at Delivery after Asymptomatic or Mild COVID-19 during Pregnancy.

Author

Sandoval, Grecio J., Metz, Torri D., Grobman, William A., Manuck, Tracy A., Hughes, Brenna L., Saade, George R., Longo, Monica, Simhan, Hyagriv N., Rouse, Dwight J., Mendez-Figueroa, Hector, Gyamfi-Bannerman, Cynthia, Ranzini, Angela C., Costantine, Maged M., Sehdev, Harish M., and Tita, Alan T.N.

Subjects
RISK assessment, PREDICTION models, RESEARCH funding, SECONDARY analysis, RECEIVER operating characteristic curves, PUERPERIUM, HYPERTENSION, SEVERITY of illness index, HOSPITALS, DESCRIPTIVE statistics, GESTATIONAL age, THEORY, CONFIDENCE intervals, SYSTOLIC blood pressure, COVID-19, DISEASE progression, PREGNANCY
Abstract

Objective This study aimed to develop a prediction model that estimates the probability that a pregnant person who has had asymptomatic or mild coronavirus disease 2019 (COVID-19) prior to delivery admission will progress in severity to moderate, severe, or critical COVID-19. Study Design This was a secondary analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients who delivered from March through December 2020 at hospitals across the United States. Those eligible for this analysis presented for delivery with a current or previous asymptomatic or mild SARS-CoV-2 infection. The primary outcome was moderate, severe, or critical COVID-19 during the delivery admission through 42 days postpartum. The prediction model was developed and internally validated using stratified cross-validation with stepwise backward elimination, incorporating only variables that were known on the day of hospital admission. Results Of the 2,818 patients included, 26 (0.9%; 95% confidence interval [CI], 0.6–1.3%) developed moderate–severe–critical COVID-19 during the study period. Variables in the prediction model were gestational age at delivery admission (adjusted odds ratio [aOR], 1.15; 95% CI, 1.08–1.22 per 1-week decrease), a hypertensive disorder in a prior pregnancy (aOR 3.05; 95% CI, 1.25–7.46), and systolic blood pressure at admission (aOR, 1.04; 95% CI, 1.02–1.05 per mm Hg increase). This model yielded an area under the receiver operating characteristic curve of 0.82 (95% CI, 0.72–0.91). Conclusion Among individuals presenting for delivery who had asymptomatic–mild COVID-19, gestational age at delivery admission, a hypertensive disorder in a prior pregnancy, and systolic blood pressure at admission were predictive of delivering with moderate, severe, or critical COVID-19. This prediction model may be a useful tool to optimize resources for SARS-CoV-2-infected pregnant individuals admitted for delivery. Key Points Three factors were associated with delivery with more severe COVID-19. The developed model yielded an area under the receiver operating characteristic curve of 0.82 and model fit was good. The model may be useful tool for SARS-CoV-2 infected pregnancies admitted for delivery. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Association Between Influenza Vaccination and SARS‐CoV‐2 Infection.

Author

Ma'ayeh, Marwan, de Voest, Jessica A., Hughes, Brenna L., Grobman, William A., Saade, George R., Manuck, Tracy A., Longo, Monica, Simhan, Hyagriv N., Rouse, Dwight J., Mendez‐Figueroa, Hector, Gyamfi‐Bannerman, Cynthia, Bailit, Jennifer L., Costantine, Maged M., Sehdev, Harish M., Tita, Alan T. N., and Metz, Torri D.

Subjects
PREGNANT women, INFLUENZA vaccines, PREGNANCY outcomes, TOBACCO smoke, SMOKING
Abstract

Background: Recent data in nonpregnant individuals suggest a protective effect of influenza vaccination against SARS‐CoV‐2 infection and its severity. Objectives: Our primary objective was to evaluate whether influenza vaccination was associated with COVID‐19 severity and pregnancy and neonatal outcomes among those infected with SARS‐CoV‐2. The secondary objective was to examine the association between influenza vaccination and SARS‐CoV‐2 infection. Study Design: Secondary analysis of a multicenter retrospective cohort of pregnant people who tested positive for SARS‐CoV‐2 between March and August 2020, and a cohort of random deliveries during the same time period. The associations between 2019 influenza vaccination and the primary outcome of moderate‐to‐critical COVID‐19 as well as maternal and perinatal outcomes were examined among all people who tested positive for SARS‐CoV‐2 between March and August 2020. The association between 2019 influenza vaccination and having a positive SARS‐CoV‐2 test was examined among a cohort of individuals who delivered on randomly selected dates between March and August 2020. Univariable and multivariable analyses were performed. Results: Of 2325 people who tested positive for SARS‐CoV‐2, 1068 (45.9%) were vaccinated against influenza in 2019. Those who received the influenza vaccine were older, leaner, more likely to have private insurance, and identify as White or Hispanic. They were less likely to smoke tobacco and identify as Black. Overall, 419 (18.0%) had moderate, 193 (8.3%) severe, and 52 (2.2%) critical COVID‐19. There was no association between influenza vaccination and moderate‐to‐critical COVID‐19 (29.2% vs. 28.0%, adjusted OR 1.10, 95% CI 0.90–1.34) or adverse maternal and perinatal outcomes among those who tested positive. Of 8152 people who delivered in 2020, 4658 (57.1%) received the influenza vaccine. Prior vaccination was not associated with a difference in the odds of SARS‐CoV‐2 infection (3.8% vs. 4.2%, adjusted OR 0.94, 95% CI 0.74–1.19). Conclusion: Prior influenza vaccination was not associated with decreased severity of COVID‐19 or lower odds of SARS‐CoV‐2 infection in pregnancy. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Association of SARS-CoV-2 Infection With Serious Maternal Morbidity and Mortality From Obstetric Complications

Author

Metz, Torri D., Clifton, Rebecca G., Hughes, Brenna L., Sandoval, Grecio J., Grobman, William A., Saade, George R., Manuck, Tracy A., Longo, Monica, Sowles, Amber, Clark, Kelly, Simhan, Hyagriv N., Rouse, Dwight J., Mendez-Figueroa, Hector, Gyamfi-Bannerman, Cynthia, Bailit, Jennifer L., Costantine, Maged M., Sehdev, Harish M., Tita, Alan T. N., and Macones, George A.

Published
2022
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31. A late presentation of scimitar syndrome in adult

Author

Farinacci-Vilaró Marlene, MD, Gerena-Montano Luis, MD, Nieves-Figueroa Hector, MD, Mendez-Melendez Omar, MD, Garcia-Puebla Juan, MD, Fernández Ricardo, MD, Hernandez Ricardo, MD, González Modesto, MD, and Quintana Cid, MD

Subjects
Scimitar Syndrome, Hemoptysis, Pulmonary Arterial Hypertension, Dyspnea, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Scimitar Syndrome is a rare congenital disorder and a variant of partial anomalous pulmonary venous connection (PAPVC) in which part or even the entire right lung is drained by right pulmonary veins that connect anomalously to the Inferior Vena Cava (IVC). It has various presentations including exertional dyspnea, recurrent chest infection, pulmonary artery hypertension, and hemoptysis. The initial diagnosis of PAPVC may be made by echocardiography and is typically confirmed by magnetic resonance imaging, computed tomography, or cardiac catheterization.We report a 69-year-old man with progressive dyspnea on exertion associated with palpitations of five years of evolution. The patient was diagnosed with cardiomyopathy, pulmonary hypertension and was started on treatment with anticoagulation, digoxin, and metoprolol for his atrial fibrillation. Despite the treatment, the dyspnea did not improve. The patient underwent cardiac catheterization, where the anomalous venous drainage was confirmed. Scimitar syndrome was corrected by surgical intervention with complete resolution of symptoms.

Published
2020
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32. First- or second-trimester SARS-CoV-2 infection and subsequent pregnancy outcomes

Author

Hughes, Brenna L., Sandoval, Grecio J., Metz, Torri D., Clifton, Rebecca G., Grobman, William A., Saade, George R., Manuck, Tracy A., Longo, Monica, Sowles, Amber, Clark, Kelly, Simhan, Hyagriv N., Rouse, Dwight J., Mendez-Figueroa, Hector, Gyamfi-Bannerman, Cynthia, Bailit, Jennifer, Costantine, Maged M., Sehdev, Harish M., Tita, Alan T.N., and Macones, George A.

Published
2023
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34. The Maternal and Infant Environmental Health Riskscape study of perinatal disparities in greater Houston: rationale, study design and participant profiles.

Author

Symanski, Elaine, Whitworth, Kristina W., Mendez-Figueroa, Hector, Aagaard, Kjersti M., Moussa, Iman, Alvarez, Juan, Fabian, Adrien Chardon, Kannan, Kurunthachalam, Walker, Cheryl L., Coarfa, Cristian, Suter, Melissa A., and Salihu, Hamisu M.

Subjects
ENVIRONMENTAL health, MATERNAL health services, AFRICAN Americans, RESEARCH funding, PREGNANT women, DESCRIPTIVE statistics, LONGITUDINAL method, ENVIRONMENTAL exposure, METROPOLITAN areas, PSYCHOLOGICAL stress, ELECTRONIC health records, WOMEN'S health, HEALTH equity, SOCIODEMOGRAPHIC factors, SOCIAL support, DATA analysis software
Abstract

Introduction: The Maternal and Infant Environmental Health Riskscape (MIEHR) Center was established to address the interplay among chemical and non-chemical stressors in the biological, physical, social, and built environments that disproportionately impact perinatal health among Black pregnant people in a large and diverse urban area with documented disparities in the U.S. Methods: The MIEHR cohort is recruiting non-Hispanic Black and non-Hispanic white pregnant people who deliver their infants at major obstetric hospitals in Houston, Texas. At enrollment, all participants are asked to provide urine samples for chemical [metals, cotinine, and polycyclic aromatic hydrocarbons (PAHs)] analyses and blood samples. A subset of the cohort is asked to provide oral and vaginal swabs, and fecal samples. Questionnaire and electronic health record data gather information about residential address history during pregnancy, pregnancy history and prenatal care, sociodemographic and lifestyle factors, experiences of discrimination and stress, and sources of social support. Using information on where a participant lived during their pregnancy, features of their neighborhood environment are characterized. We provide summaries of key individual- and neighborhood-level features of the entire cohort, as well as for Black and white participants separately. Results: Between April 2021 and February 2023, 1,244 pregnant people were recruited. Nearly all participants provided urine samples and slightly less than half provided blood samples. PAH exposure patterns as assessed on 47% of participants thus far showed varying levels depending on metabolite as compared to previous studies. Additionally, analyses suggest differences between Black and white pregnant people in experiences of discrimination, stress, and levels of social support, as well as in neighborhood characteristics. Discussion: Our findings to date highlight racial differences in experiences of discrimination, stress, and levels of support, as well as neighborhood characteristics. Recruitment of the cohort is ongoing and additional neighborhood metrics are being constructed. Biospecimens will be analyzed for metals and PAH metabolites (urine samples), miRNAs (plasma samples) and the microbiome (oral swabs). Once enrollment ends, formal assessments are planned to elucidate individual- and neighborhood-level features in the environmental riskscape that contribute to Black-White disparities in perinatal health. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Maternal Education Level Among People with Diabetes and Associated Adverse Outcomes.

Author

Fishel Bartal, Michal, Chen, Han-Yang, Ashby Cornthwaite, Joycelyn A., Wagner, Stephen M., Nazeer, Sarah A., Chauhan, Suneet P., and Mendez-Figueroa, Hector

Subjects
RISK assessment, HYSTERECTOMY, GESTATIONAL diabetes, PREGNANT women, PREGNANCY outcomes, PERINATAL death, MULTIVARIATE analysis, RELATIVE medical risk, PRENATAL care, LONGITUDINAL method, GESTATIONAL age, INTENSIVE care units, UTERINE rupture, APGAR score, PREGNANCY complications, BLOOD transfusion, CONFIDENCE intervals, EDUCATIONAL attainment, DISEASE risk factors, DISEASE complications
Abstract

Objective The aim of the study is to determine the relation between education and adverse outcomes in individuals with pregestational or gestational diabetes. Study Design This population-based cohort study, using the U.S. vital statistics datasets, evaluated individuals with pregestational or gestational diabetes who delivered between 2016 and 2019. The primary outcome was composite neonatal adverse outcome including any of the following: large for gestational age (LGA), Apgar's score 6 hours, neonatal seizure, or neonatal death. The secondary outcome was composite maternal adverse outcomes including any of the following: admission to intensive care unit, transfusion, uterine rupture, or unplanned hysterectomy. Multivariable analysis was used to estimate adjusted relative risks (aRR) and 95% confidence intervals (CIs). Results Of 15,390,962 live births in the United States, 858,934 (5.6%) were eligible for this analysis. Compared with individuals with a college education and above, the risk of composite neonatal adverse outcome was higher in individuals with some college (aRR = 1.08, 95% CI = 1.07–1.09), high school (aRR = 1.06, 95% CI = 1.04–1.07), and less than high school (aRR = 1.05, 95% CI = 1.03–1.07) education. The components of composite neonatal adverse outcome that differed significantly between the groups were LGA, Apgar's score 6 hours. Infant death differed when stratified by education level. An increased risk of composite maternal adverse outcome was also found with a lower level of education. Conclusion Among individuals with diabetes, lower education was associated with a modestly higher risk of adverse neonatal and maternal outcomes. Key Points Education levels were associated with adverse outcomes among individuals with diabetes. Lower education is associated with multiple neonatal complications, including infant death. Individuals with varying levels of education are at higher risk for adverse maternal outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Dissonant health transition in the states of Mexico, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

Author

Gómez-Dantés, Héctor, Fullman, Nancy, Lamadrid-Figueroa, Héctor, Cahuana-Hurtado, Lucero, Darney, Blair, Avila-Burgos, Leticia, Correa-Rotter, Ricardo, Rivera, Juan A, Barquera, Simon, González-Pier, Eduardo, Aburto-Soto, Tania, de Castro, Elga Filipa Amorin, Barrientos-Gutiérrez, Tonatiuh, Basto-Abreu, Ana C, Batis, Carolina, Borges, Guilherme, Campos-Nonato, Ismael, Campuzano-Rincón, Julio C, de Jesús Cantoral-Preciado, Alejandra, Contreras-Manzano, Alejandra G, Cuevas-Nasu, Lucia, de la Cruz-Gongora, Vanessa V, Diaz-Ortega, Jose L, de Lourdes García-García, María, Garcia-Guerra, Armando, de Cossío, Teresita González, González-Castell, Luz D, Heredia-Pi, Ileana, Hijar-Medina, Marta C, Jauregui, Alejandra, Jimenez-Corona, Aida, Lopez-Olmedo, Nancy, Magis-Rodríguez, Carlos, Medina-Garcia, Catalina, Medina-Mora, Maria E, Mejia-Rodriguez, Fabiola, Montañez, Julio C, Montero, Pablo, Montoya, Alejandra, Moreno-Banda, Grea L, Pedroza-Tobías, Andrea, Pérez-Padilla, Rogelio, Quezada, Amado D, Richardson-López-Collada, Vesta L, Riojas-Rodríguez, Horacio, Ríos Blancas, Maria J, Razo-Garcia, Christian, Mendoza, Martha P Romero, Sánchez-Pimienta, Tania G, Sánchez-Romero, Luz M, Schilmann, Astrid, Servan-Mori, Edson, Shamah-Levy, Teresa, Téllez-Rojo, Martha M, Texcalac-Sangrador, José L, Wang, Haidong, Vos, Theo, Forouzanfar, Mohammad H, Naghavi, Mohsen, Lopez, Alan D, Murray, Christopher J L, and Lozano, Rafael

Published
2016
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45. Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author

Kassebaum, Nicholas J, Barber, Ryan M, Bhutta, Zulfiqar A, Dandona, Lalit, Gething, Peter W, Hay, Simon I, Kinfu, Yohannes, Larson, Heidi J, Liang, Xiaofeng, Lim, Stephen S, Lopez, Alan D, Lozano, Rafael, Mensah, George A, Mokdad, Ali H, Naghavi, Mohsen, Pinho, Christine, Salomon, Joshua A, Steiner, Caitlyn, Vos, Theo, Wang, Haidong, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbas, Kaja M, Abd-Allah, Foad, Abdallat, Mahmud A, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abubakar, Ibrahim, Abu-Rmeileh, Niveen M E, Achoki, Tom, Adebiyi, Akindele Olupelumi, Adedeji, Isaac Akinkunmi, Adelekan, Ademola Lukman, Adou, Arsène Kouablan, Afanvi, Kossivi Agbelenko, Agarwal, Arnav, Kiadaliri, Aliasghar Ahmad, Ajala, Oluremi N, Akinyemiju, Tomi F, Akseer, Nadia, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore K M, Alasfoor, Deena, Aldhahri, Saleh Fahed, Aldridge, Robert William, Alhabib, Samia, Ali, Raghib, Alkerwi, Ala'a, Alla, François, Al-Raddadi, Rajaa, Alsharif, Ubai, Martin, Elena Alvarez, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amberbir, Alemayehu, Amegah, Adeladza Kofi, Ammar, Walid, Amrock, Stephen Marc, Andersen, Hjalte H, Anderson, Gregory M, Antoine, Rose Mayerline, Antonio, Carl Abelardo T, Aregay, Atsede Fantahun, Ärnlöv, Johan, Arora, Megha, Arsenijevic, Valentina S Arsic, Artaman, Al, Asayesh, Hamid, Atique, Suleman, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Bahit, Maria C, Balakrishnan, Kalpana, Banerjee, Amitava, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Basu, Sanjay, Bayou, Tigist Assefa, Bayou, Yibeltal Tebekaw, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Wang, Neeraj Haidong, Bedi, Bekele, Tolesa, Bell, Michelle L, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Beyene, Addisu Shunu, Biadgilign, Sibhatu, Bikbov, Boris, Abdulhak, Aref A Bin, Biroscak, Brian J, Biryukov, Stan, Bisanzio, Donal, Bjertness, Espen, Blore, Jed D, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Brugha, Traolach S, Butt, Zahid A, Campos-Nonato, Ismael Ricardo, Campuzano, Julio Cesar, Cárdenas, Rosario, Carrero, Juan Jesus, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Castro, Ruben Estanislao, Catalá-López, Ferrán, Cavalleri, Fiorella, Chang, Hsing-Yi, Chang, Jung-Chen, Chavan, Laxmikant, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Choi, Jee-Young Jasmine, Chowdhury, Rajiv, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Coates, Matthew M, Coggeshall, Megan, Colistro, Valentina, Colquhoun, Samantha M, Cooper, Cyrus, Cooper, Leslie Trumbull, Cortinovis, Monica, Dahiru, Tukur, Damasceno, Albertino, Danawi, Hadi, Dandona, Rakhi, das Neves, José, Leo, Diego De, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dharmaratne, Samath D, Dicker, Daniel J, Ding, Eric L, Dossou, Edem, Dubey, Manisha, Ebel, Beth E, Ellingsen, Christian Lycke, Elyazar, Iqbal, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshrati, Babak, Esteghamati, Alireza, Faraon, Emerito Jose Aquino, Farid, Talha A, Farinha, Carla Sofia e Sa, Faro, André, Farvid, Maryam S, Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fernandes, Joao C, Fischer, Florian, Fitchett, Joseph R A, Fleming, Tom, Foigt, Nataliya, Franca, Elisabeth Barboza, Franklin, Richard C, Fraser, Maya S, Friedman, Joseph, Fullman, Nancy, Fürst, Thomas, Futran, Neal D, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gebre, Teshome, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gebremedhin, Mengistu, Gebru, Alemseged Aregay, Geleijnse, Johanna M, Gibney, Katherine B, Giref, Ababi Zergaw, Giroud, Maurice, Gishu, Melkamu Dedefo, Glaser, Elizabeth, Goenka, Shifalika, Gomez-Dantes, Hector, Gona, Philimon, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Graetz, Nicholas, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Vipin, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hancock, Jamie, Handal, Alexis J, Hankey, Graeme J, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Harun, Kimani M, Havmoeller, Rasmus, Hoek, Hans W, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hoy, Damian G, Htet, Aung Soe, Hu, Guoqing, Huang, Hsiang, Huang, John J, Huybrechts, Inge, Huynh, Chantal, Iannarone, Marissa, Iburg, Kim Moesgaard, Idrisov, Bulat T, Iyer, Veena J, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jibat, Tariku, Jonas, Jost B, Kabir, Zubair, Kamal, Ritul, Kan, Haidong, Karch, André, Karletsos, Dimitris, Kasaeian, Amir, Kaul, Anil, Kawakami, Norito, Kayibanda, Jeanne Françoise, Kazanjan, Konstantin, Kazi, Dhruv S, Keiyoro, Peter Njenga, Kemmer, Laura, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khang, Young-Ho, Khonelidze, Irma, Khosravi, Ardeshir, Khubchandani, Jagdish, Kim, Yun Jin, Kivipelto, Miia, Knibbs, Luke D, Kokubo, Yoshihiro, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Krishnaswami, Sanjay, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kudom, Andreas A, Kulikoff, Xie Rachel, Kulkarni, Chanda, Kumar, G Anil, Kutz, Michael J, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lamadrid-Figueroa, Hector, Lan, Qing, Larsson, Anders, Laryea, Dennis Odai, Leigh, James, Leung, Ricky, Li, Yichong, Li, Yongmei, Lipshultz, Steven E, Liu, Patrick Y, Liu, Shiwei, Liu, Yang, Lloyd, Belinda K, Lotufo, Paulo A, Lunevicius, Raimundas, Ma, Stefan, Razek, Hassan Magdy Abd El, Razek, Mohammed Magdy Abd El, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Mapoma, Chabila C, Marcenes, Wagner, Margolis, David Joel, Marquez, Neal, Masiye, Felix, Marzan, Melvin Barrientos, Mason-Jones, Amanda J, Mazorodze, Tasara T, Meaney, Peter A, Mehari, Alem, Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Mekonnen, Alemayehu B, Melaku, Yohannes Adama, Memish, Ziad A, Mendoza, Walter, Meretoja, Atte, Meretoja, Tuomo J, Mhimbira, Francis Apolinary, Miller, Ted R, Mills, Edward J, Mirarefin, Mojde, Misganaw, Awoke, Ibrahim, Norlinah Mohamed, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Mola, Glen Liddell D, Monasta, Lorenzo, de la Cruz Monis, Jonathan, Hernandez, Julio Cesar Montañez, Montero, Pablo, Montico, Marcella, Mooney, Meghan D, Moore, Ami R, Moradi-Lakeh, Maziar, Morawska, Lidia, Mori, Rintaro, Mueller, Ulrich O, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Srinivas, Nachega, Jean B, Naheed, Aliya, Naldi, Luigi, Nand, Devina, Nangia, Vinay, Nash, Denis, Neupane, Subas, Newton, John N, Ng, Marie, Ngalesoni, Frida Namnyak, Nguhiu, Peter, Nguyen, Grant, Nguyen, Quyen Le, Nisar, Muhammad Imran, Nomura, Marika, Norheim, Ole F, Norman, Rosana E, Nyakarahuka, Luke, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Ojelabi, Foluke Adetola, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Opio, John Nelson, Oren, Eyal, Ota, Erika, Oyekale, Abayomi Samuel, PA, Mahesh, Pain, Amanda, Papantoniou, Nikolaos, Park, Eun-Kee, Park, Hye-Youn, Caicedo, Angel J Paternina, Patten, Scott B, Paul, Vinod K, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Pillay, Julian David, Pishgar, Farhad, Polinder, Suzanne, Pope, Daniel, Pourmalek, Farshad, Qorbani, Mostafa, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Ram, Usha, Ranabhat, Chhabi Lal, Rangaswamy, Thara, Rao, Paturi Vishnupriya, Refaat, Amany H, Remuzzi, Giuseppe, Resnikoff, Serge, Rojas-Rueda, David, Ronfani, Luca, Roshandel, Gholamreza, Roy, Ambuj, Ruhago, George Mugambage, Sagar, Rajesh, Saleh, Muhammad Muhammad, Sanabria, Juan R, Sanchez-Niño, Maria Dolores, Santos, Itamar S, Santos, Joao Vascos, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Saylan, Mete I, Schneider, Ione J C, Schwebel, David C, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Setegn, Tesfaye, Shackelford, Katya A, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Shibuya, Kenji, Shin, Min-Jeong, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Sigfusdottir, Inga Dora, Silpakit, Naris, Silva, Diego Augusto Santos, Silveira, Dayane Gabriele Alves, Silverberg, Jonathan I, Simard, Edgar P, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A, Singh, Om Prakash, Singh, Prashant Kumar, Singh, Virendra, Skirbekk, Vegard, Sligar, Amber, Sliwa, Karen, Smith, Jessica M, Soneji, Samir, Sorensen, Reed J D, Soriano, Joan B, Soshnikov, Sergey, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki, Stroumpoulis, Konstantinos, Sturua, Lela, Sunguya, Bruno F, Swaminathan, Soumya, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Talongwa, Roberto Tchio, Tavakkoli, Mohammad, Taye, Bineyam, Tedla, Bemnet Amare, Tefera, Worku Mekonnen, Tekle, Tesfaye, Shifa, Girma Temam, Terkawi, Abdullah Sulieman, Tesfay, Fisaha Haile, Tessema, Gizachew Assefa, Thomson, Alan J, Thorne-Lyman, Andrew L, Tobe-Gai, Ruoyan, Topor-Madry, Roman, Towbin, Jeffrey Allen, Tran, Bach Xuan, Dimbuene, Zacharie Tsala, Tura, Abera Kenay, Tyrovolas, Stefanos, Ukwaja, Kingsley N, Uthman, Olalekan A, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wagner, Joseph A, Wang, Linhong, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Westerman, Ronny, Wijeratne, Tissa, Wilkinson, James D, Wiysonge, Charles Shey, Woldeyohannes, Solomon Meseret, Wolfe, Charles D A, Wolock, Timothy, Won, Sungho, Wubshet, Mamo, Xiao, Qingyang, Xu, Gelin, Yadav, Ajit Kumar, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yano, Yuichiro, Yebyo, Henock Gebremedhin, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Yu, Shicheng, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zeeb, Hajo, Zhao, Yi, Zhao, Yong, Zhou, Maigeng, Zodpey, Sanjay, Zuhlke, Liesl Joanna, and Murray, Christopher J L

Published
2016
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50. Plasma Fatty Acid Biomarkers of Dairy Consumption Are Associated with Sex-Dependent Effects on Metabolic Syndrome Components in Mexican Adolescents.

Author

Trejo-Reyes, Rebeca, Cantoral, Alejandra, Lamadrid-Figueroa, Hector, Betanzos-Robledo, Larissa, Téllez-Rojo, Martha María, Peterson, Karen E., Baylin, Ana, and Jansen, Erica C.

Subjects
FATTY acid analysis, BIOMARKERS, HDL cholesterol, TRIGLYCERIDES, CARDIOVASCULAR diseases risk factors, SEDENTARY lifestyles, CONFIDENCE intervals, FOOD consumption, CROSS-sectional method, MULTIPLE regression analysis, DAIRY products, SEX distribution, METABOLIC syndrome, RESEARCH funding, DESCRIPTIVE statistics, SOCIAL classes, BODY mass index, FATTY acids
Abstract

Introduction: During adolescence, dairy product intake has shown conflicting associations with metabolic syndrome (MetS) components, which are risk factors for cardiovascular disease (CVD). This study aims to investigate the association between plasma fatty acids (FAs) C15:0, C17:0, and t-C16:1n-7, as biomarkers of dairy intake, with MetS and its components in Mexican adolescents. Methods: A sample of 311 participants from the Early Life Exposure in Mexico City to Environmental Toxicants (ELEMENT) cohort was included in this cross-sectional analysis. FA concentrations were measured in plasma as a percentage of total FA. We used quantile regression models stratified by sex to evaluate the association between FA quantiles and MetS components, adjusting for age, socioeconomic status (SES), sedentary behavior, BMI z-score, pubertal status, and energy intake. Results: We found significant associations between dairy biomarkers and the median of MetS variables. In females, t-C16:1n-7 was associated with a decrease of 2.97 cm in WC (Q4 vs. Q1; 95% CI: −5.79, −0.16). In males, C15:0 was associated with an increase of 5.84 mm/Hg in SBP (Q4 vs. Q1; CI: 1.82, 9.85). For HDL-C, we observed opposite associations by sex. C15:0 in males was associated with decreased HDL-C (Q3 vs. Q1: β = −4.23; 95% CI: −7.98, −0.48), while in females, C15:0 and t-C16:1n-7 were associated with increased HDL-C (Q3 vs. Q1: β = 4.75; 95% CI: 0.68, 8.82 and Q4 vs. Q1: β = 6.54; 95% CI: 2.01, 11.07), respectively. Additionally, in both sexes, different levels of C15:0, C17:0, and t-C16:1n-7 were associated with increased triglycerides (TG). Conclusion: Our results suggest that adolescent dairy intake may be associated in different directions with MetS components and that associations are sex-dependent. [ABSTRACT FROM AUTHOR]

Published
2023
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