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Qu Q, Guo Q, Shi J, Chen Z, Sun J, Cheang I, Gao R, Zhou Y, Zhang H, Liao S, Yao W, Li X. Trends in cardiovascular risk factor prevalence, treatment, and control among US adolescents aged 12 to 19 years, 2001 to March 2020. BMC Med 2024; 22:245. [PMID: 38872207 PMCID: PMC11170826 DOI: 10.1186/s12916-024-03453-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 05/28/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Early-life cardiovascular risk factors (CVRFs) are known to be associated with target organ damage during adolescence and premature cardiovascular morbidity and mortality during adulthood. However, contemporary data describing whether the prevalence of CVRFs and treatment and control rates have changed are limited. This study aimed to examine the temporal trends in the prevalence, treatment, and control of CVRFs among US adolescents over the past 2 decades. METHODS This is a serial cross-sectional study using data from nine National Health and Nutrition Examination Survey cycles (January 2001-March 2020). US adolescents (aged 12 to 19 years) with information regarding CVRFs (including hypertension, elevated blood pressure [BP], diabetes, prediabetes, hyperlipidemia, obesity, overweight, cigarette use, inactive physical activity, and poor diet quality) were included. Age-adjusted trends in CVRF prevalence, treatment, and control were examined. Joinpoint regression analysis was performed to estimate changes in the prevalence, treatment, and control over time. The variation by sociodemographic characteristics were also described. RESULTS A total of 15,155 US adolescents aged 12 to 19 years (representing ≈ 32.4 million people) were included. From 2001 to March 2020, there was an increase in the prevalence of prediabetes (from 12.5% [95% confidence interval (CI), 10.2%-14.9%] to 37.6% [95% CI, 29.1%-46.2%]) and overweight/obesity (from 21.1% [95% CI, 19.3%-22.8%] to 24.8% [95% CI, 21.4%-28.2%]; from 16.0% [95% CI, 14.1%-17.9%] to 20.3% [95% CI, 17.9%-22.7%]; respectively), no improvement in the prevalence of elevated BP (from 10.4% [95% CI, 8.9%-11.8%] to 11.0% [95% CI, 8.7%-13.4%]), diabetes (from 0.7% [95% CI, 0.2%-1.2%] to 1.2% [95% CI, 0.3%-2.2%]), and poor diet quality (from 76.1% [95% CI, 74.0%-78.2%] to 71.7% [95% CI, 68.5%-74.9%]), and a decrease in the prevalence of hypertension (from 8.1% [95% CI, 6.9%-9.4%] to 5.5% [95% CI, 3.7%-7.3%]), hyperlipidemia (from 34.2% [95% CI, 30.9%-37.5%] to 22.8% [95% CI, 18.7%-26.8%]), cigarette use (from 18.0% [95% CI, 15.7%-20.3%] to 3.5% [95% CI, 2.0%-5.0%]), and inactive physical activity (from 83.0% [95% CI, 80.7%-85.3%] to 9.5% [95% CI, 4.2%-14.8%]). Sex and race/ethnicity affected the evolution of CVRF prevalence differently. Whilst treatment rates for hypertension and diabetes did not improve significantly (from 9.6% [95% CI, 3.5%-15.8%] to 6.0% [95% CI, 1.4%-10.6%]; from 51.0% [95% CI, 23.3%-78.7%] to 26.5% [95% CI, 0.0%-54.7%]; respectively), BP control was relatively stable (from 75.7% [95% CI, 56.8%-94.7%] to 73.5% [95% CI, 40.3%-100.0%]), while glycemic control improved to a certain extent, although it remained suboptimal (from 11.8% [95% CI, 0.0%-31.5%] to 62.7% [95% CI, 62.7%-62.7%]). CONCLUSIONS From 2001 to March 2020, although prediabetes and overweight/obesity increased, hypertension, hyperlipidemia, cigarette use, and inactive physical activity decreased among US adolescents aged 12 to 19 years, whereas elevated BP, diabetes, and poor diet quality remained unchanged. There were disparities in CVRF prevalence and trends across sociodemographic subpopulations. While treatment and control rates for hypertension and diabetes plateaued, BP control were stable, and improved glycemic control was observed.
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Affiliation(s)
- Qiang Qu
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Qixin Guo
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Jinjing Shi
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Ziqi Chen
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Jinyu Sun
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Iokfai Cheang
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Rongrong Gao
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Yanli Zhou
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China
| | - Haifeng Zhang
- Department of Cardiology, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, 26 Daoqian Street, Suzhou, 215002, China
- Department of Cardiology, Jiangsu Province Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Shengen Liao
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
| | - Wenming Yao
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
| | - Xinli Li
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
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Argenio KL, Day SE, D’Agostino EM, Neshteruk C, Wagner BE, Konty KJ. Increasing disparities in obesity and severe obesity prevalence among public elementary and middle school students in New York City, school years 2011-12 through 2019-20. PLoS One 2024; 19:e0302099. [PMID: 38748634 PMCID: PMC11095699 DOI: 10.1371/journal.pone.0302099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/26/2024] [Indexed: 05/19/2024] Open
Abstract
Recent national trends in the United States indicate a significant increase in childhood obesity, a major public health concern with documented physical and mental comorbidities and sociodemographic disparities. We aimed to estimate the prevalence of obesity and severe obesity among youth in New York City (NYC) before the COVID-19 pandemic and examine time trends overall and by key characteristics. We included all valid height and weight measurements of kindergarten through 8th grade public school students aged 5 to 15 from school years 2011-12 through 2019-20 (N = 1,370,890 unique students; 5,254,058 observations). Obesity and severe obesity were determined using age- and sex-specific body mass index percentiles based on the Centers for Disease Control and Prevention growth charts. Analyses were performed using multivariate logistic regression models with repeated cross-sectional observations weighted to represent the student population for each year and clustered by student and school. Among youth attending public elementary and middle schools in NYC, we estimate that 20.9% and 6.4% had obesity and severe obesity, respectively, in 2019-20. While consistent declines in prevalence were observed overall from 2011-12 to 2019-20 (2.8% relative decrease in obesity and 0.2% in severe obesity, p<0.001), increasing trends were observed among Black, Hispanic, and foreign-born students, suggesting widening disparities. Extending previous work reporting prevalence estimates in this population, nearly all groups experienced significant increases in obesity and severe obesity from 2016-17 to 2019-20 (relative change = 3.5% and 6.7%, respectively, overall; p<0.001). Yet, some of the largest increases in obesity were observed among those already bearing the greatest burden, such as Black and Hispanic students and youth living in poverty. These findings highlight the need for greater implementation of equity-centered obesity prevention efforts. Future research should consider the influence of the COVID-19 pandemic and changes in clinical guidance on childhood obesity and severe obesity in NYC.
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Affiliation(s)
- Kira L. Argenio
- New York City Department of Health and Mental Hygiene, Office of School Health, New York, New York, United States of America
| | - Sophia E. Day
- New York City Department of Health and Mental Hygiene, Office of School Health, New York, New York, United States of America
| | - Emily M. D’Agostino
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Cody Neshteruk
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Brooke E. Wagner
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Kevin J. Konty
- New York City Department of Health and Mental Hygiene, Office of School Health, New York, New York, United States of America
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Maldonado LE, Farzan SF, Toledo-Corral CM, Dunton GF, Habre R, Eckel SP, Johnson M, Yang T, Grubbs BH, Lerner D, Chavez T, Breton CV, Bastain TM. A Vegetable, Oil, and Fruit Dietary Pattern in Late Pregnancy is Linked to Reduced Risks of Adverse Birth Outcomes in a Predominantly Low-Income Hispanic and Latina Pregnancy Cohort. J Nutr 2023; 152:2837-2846. [PMID: 36055799 PMCID: PMC9840002 DOI: 10.1093/jn/nxac209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/28/2022] [Accepted: 08/30/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Studies examining diet and its links to birth outcomes among socioeconomically disadvantaged populations in the United States are scarce. OBJECTIVES We aimed to identify prenatal dietary patterns, examine their relationships with birth outcomes, and evaluate the variation of these associations by maternal diabetes status [no diabetes, gestational diabetes mellitus (GDM), preexisting diabetes]. METHODS Women in the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study (n = 465)-an ongoing, prospective pregnancy cohort of predominantly low-income Hispanic/Latina women in Los Angeles-completed up to two 24-hour dietary recalls in the third trimester of pregnancy. We identified prenatal dietary patterns via factor analysis and evaluated their associations with infant birth weight and gestational age at birth (GA) z-scores, separately, using linear regression, as well as the associations of the dietary patterns with premature births, having an infant that was small for gestational age (SGA), and having an infant that was large for gestational age, using logistic regression and adjusting for relevant covariates. We additionally tested interaction terms between prenatal dietary patterns and maternal diabetes status in separate models. We adjusted for multiple comparisons using the false discovery rate. RESULTS We identified 2 dietary patterns: 1) a dietary pattern of solid fats, refined grains, and cheese (SRC); and 2) a dietary pattern of vegetables, oils, and fruit (VOF). Comparing the highest to lowest quartiles, the VOF was significantly associated with a greater infant birth weight (β = 0.40; 95% CIs: 0.10, 0.70; Ptrend = 0.011), a greater GA (β = 0.32; 95% CIs: 0.03, 0.61; Ptrend = 0.036), lower odds of a premature birth (OR = 0.31; 95% CIs: 0.10, 0.95; Ptrend = 0.049), and lower odds of having an infant that was SGA (OR = 0.18; 95% CIs: 0.06, 0.58; Ptrend = 0.028). Only among women with GDM, a 1-SD score increase in the prenatal SRC was significantly associated with a lower infant birth weight (β = -0.20; 95% CIs -0.39, -0.02; Pinteraction = 0.040). CONCLUSIONS Among low-income Hispanic/Latina pregnant women, greater adherence to the prenatal VOF may lower the risk of a premature birth and having an infant that is SGA. Greater adherence to the SRC, however, may adversely affect newborn birth weight among mothers with GDM, but future research is needed to verify our findings.
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Affiliation(s)
- Luis E Maldonado
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claudia M Toledo-Corral
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Health Sciences, California State University, Northridge, Northridge, CA, USA
| | - Genevieve F Dunton
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark Johnson
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, Los Angeles, CA, USA
| | | | - Thomas Chavez
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Nicole W. Paradox Lost? The Waning Health Advantage among the U.S. Hispanic Population. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:12001. [PMID: 36607287 PMCID: PMC9819285 DOI: 10.1289/ehp11618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 07/01/2022] [Indexed: 06/17/2023]
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Garcia-Oropesa EM, Martinez-Lopez YE, Ruiz-Cejudo SM, Martínez-Ezquerro JD, Diaz-Badillo A, Ramirez-Pfeiffer C, Bustamante-Fuentes A, Lopez-Sosa EB, Moctezuma-Chavez OO, Nava-Gonzalez EJ, Perales-Torres AL, Perez-Navarro LM, Rosas-Diaz M, Carter K, Tapia B, Lopez-Alvarenga JC. Looking for Crumbs in the Obesity Forest: Anti-obesity Interventions and Obesity-Associated Cardiometabolic Traits in the Mexican Population. History and Systematic Review With Meta-Analyses. Front Med (Lausanne) 2021; 8:665023. [PMID: 34805192 PMCID: PMC8595206 DOI: 10.3389/fmed.2021.665023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 09/24/2021] [Indexed: 11/30/2022] Open
Abstract
Mexicans and Mexican Americans share culture, genetic background, and predisposition for chronic complications associated with obesity and diabetes making imperative efficacious treatments and prevention. Obesity has been treated for centuries focused-on weight loss while other treatments on associated conditions like gout, diabetes (T2D), and hypertriglyceridemia. To date, there is no systematic review that synthesizes the origin of obesity clinics in Mexico and the efforts to investigate treatments for obesity tested by randomized clinical trials (RCT). We conducted systematic searches in Pubmed, Scopus, and Web of Science to retrieve anti-obesity RCT through 2019 and without an inferior temporal limit. The systematic review included RCT of anti-obesity treatments in the Mexican adult population, covering alternative medicine, pharmacological, nutritional, behavioral, and surgical interventions reporting metabolism-associated traits such as BMI, weight, waist circumference, triglycerides, glucose, among others. Only the studies with at least 3 months of treatment were included in the meta-analyses in order to reduce placebo effects. We found 634 entries, after removal of duplicates and screening the studies based on eligibility criteria, we analyzed 43 national, and 2 multinational-collaborative studies. Most of the national studies had small sample sizes, and the implemented strategies do not have replications in the population. The nutrition/behavioral interventions were difficult to blind, and most studies have medium-to-high risk of bias. Nutritional/behavioral interventions and medications showed effects on BMI, waist circumference, and blood pressure. Simple measures like pure water instead of sweet beverages decrease triglycerides and systolic blood pressure. Dark chocolate showed the highest effect for BMI and high blood pressure, and treatment with insulin increased weight in those with T2D. The study of obesity in Mexico has been on-going for more than four decades, the interest on RCT just increased until this millennium, but with small sample sizes and lack of replication. The interventions affect different cardiometabolic associated traits, which should be analyzed in detail in the population living near the Mexico-U.S. border; therefore, bi-national collaboration is desirable to disentangle the cultural effects on this population's treatment response. Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020221436, identifier: CRD42020221436.
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Affiliation(s)
- Esperanza M Garcia-Oropesa
- Laboratorio de Biología Molecular, Unidad Académica Multidisciplinaria Reynosa Aztlán (UAMRA), Universidad Autónoma de Tamaulipas, Reynosa, Mexico
| | - Yoscelina E Martinez-Lopez
- Programa de Doctorado en Ciencias Médicas y de la Salud, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Sonia María Ruiz-Cejudo
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Área Envejecimiento (UIESSAE), Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico.,Programa de Maestría y Doctorado en Música, Cognición Musical, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - José Darío Martínez-Ezquerro
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Área Envejecimiento (UIESSAE), Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico.,Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Alvaro Diaz-Badillo
- Department of Human Genetics, School of Medicine, The University of Texas Rio Grande Valley, Edinburg, TX, United States.,Programa de Maestría en Salud Pública, Universidad México-Americana del Norte (UMAN), Reynosa, Mexico
| | - Carlos Ramirez-Pfeiffer
- Programa de Maestría en Salud Pública, Universidad México-Americana del Norte (UMAN), Reynosa, Mexico
| | | | | | | | - Edna J Nava-Gonzalez
- Facultad de Salud Pública y Nutrición, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Adriana L Perales-Torres
- Laboratorio de Bromatología, Unidad Académica Multidisciplinaria Reynosa Aztlán (UAMRA), Universidad Autónoma de Tamaulipas Reynosa-Aztlán, Reynosa, Mexico
| | - Lucia M Perez-Navarro
- Servicio de Nefrología, Dirección de Investigación, Hospital General de México Dr. Eduardo Liceaga, Mexico City, Mexico
| | - Marisol Rosas-Diaz
- Laboratorio de Biología Molecular, Unidad Académica Multidisciplinaria Reynosa Aztlán (UAMRA), Universidad Autónoma de Tamaulipas, Reynosa, Mexico
| | - Kathleen Carter
- Research and Education Library of the School of Medicine, Education & Academic Affairs, University of Texas Rio Grande Valley, Edinburg, TX, United States
| | - Beatriz Tapia
- Office of Faculty Affairs and Department of Pediatrics, School of Medicine, The University of Texas Rio Grande Valley, Harlingen, TX, United States
| | - Juan C Lopez-Alvarenga
- Department of Human Genetics, School of Medicine, The University of Texas Rio Grande Valley, Edinburg, TX, United States.,Programa de Maestría en Salud Pública, Universidad México-Americana del Norte (UMAN), Reynosa, Mexico
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Maldonado LE, Adair LS, Sotres-Alvarez D, Mattei J, Mossavar-Rahmani Y, Perreira KM, Daviglus ML, Van Horn LV, Gallo LC, Isasi CR, Albrecht SS. Dietary Patterns and Years Living in the United States by Hispanic/Latino Heritage in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). J Nutr 2021; 151:2749-2759. [PMID: 34320207 PMCID: PMC8417926 DOI: 10.1093/jn/nxab165] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 04/08/2021] [Accepted: 05/03/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Previous diet findings in Hispanics/Latinos rarely reflect differences in commonly consumed and culturally relevant foods across heritage groups and by years lived in the United States. OBJECTIVES We aimed to identify and compare a posteriori heritage-specific dietary patterns (DPs) and evaluate their associations with "healthfulness" [using the Alternative Healthy Eating Index-2010 (AHEI-2010)] and years living in the United States. METHODS We used baseline data from a population-based cohort of 14,099 Hispanics/Latinos aged 18-74 y in the Hispanic Community Health Study/Study of Latinos. We performed principal factor analysis using two 24-h recalls to derive DPs, separately, in each heritage group (Cuban, Dominican, Mexican, Puerto Rican, Central American, and South American), and identified overarching DPs based on high-loading foods shared by ≥2 groups. We used multivariable linear regression to test associations of DPs with AHEI-2010 and years living in the United States. RESULTS We identified 5 overarching DPs (Burgers, Fries, & Soft Drinks; White Rice, Beans, & Red Meats; Fish; Egg & Cheese; and Alcohol). All Burgers, Fries, & Soft Drinks DPs were inversely associated with AHEI-2010, whereas all Fish DPs (except Dominican) were positively associated with this index (all P-trend < 0.001). White Rice, Beans, & Red Meats DPs showed inverse associations in Cuban and Central American groups and positive associations in Mexican-origin individuals (all P-trend < 0.001). Fewer years living in the United States was associated with higher scores for White Rice, Beans, & Red Meats DPs in Cuban and Mexican heritage groups and lower scores on Burgers, Fries, & Soft Drinks DPs in Cuban, Mexican, and Puerto Rican groups (all P-trend < 0.01). CONCLUSIONS Our findings show substantial variation in DPs across Hispanics/Latinos and adherence to DPs by time in the United States, which could inform dietary interventions targeting this diverse US population. This trial was registered at clinicaltrials.gov as NCT02060344.
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Affiliation(s)
- Luis E Maldonado
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Linda S Adair
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Daniela Sotres-Alvarez
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Josiemer Mattei
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Krista M Perreira
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Social Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago, IL, USA
| | - Linda V Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sandra S Albrecht
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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Stierman B, Ogden CL, Yanovski JA, Martin CB, Sarafrazi N, Hales CM. Changes in adiposity among children and adolescents in the United States, 1999-2006 to 2011-2018. Am J Clin Nutr 2021; 114:1495-1504. [PMID: 34291279 PMCID: PMC8645193 DOI: 10.1093/ajcn/nqab237] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 06/22/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Data from the NHANES indicate that BMI has increased in some subgroups of children and adolescents in the United States over the past 20 y; however, BMI is an indirect measure of body fatness. OBJECTIVES We assessed changes in DXA-derived measures of adiposity in a nationally representative population of US children and adolescents aged 8-19 y from 1999-2006 to 2011-2018. METHODS Using data from the NHANES, we compared the means and distributions of DXA-derived percentage body fat (%BF) and fat mass index (FMI; fat mass/height2 in kg/m2) between 1999-2006 (n = 10,231) and 2011-2018 (n = 6923) among males and females by age group, race and Hispanic origin, and BMI categories. Estimates were standardized by age and race and Hispanic origin. RESULTS From 1999-2006 to 2011-2018, mean %BF increased from 25.6% to 26.3% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P < 0.01) among all males, whereas mean %BF increased from 33.0% to 33.7% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P = 0.01) and mean FMI increased from 7.7 to 8.0 fat mass kg/m2 (change in FMI: 0.3 fat mass kg/m2; 95% CI: 0.0, 0.6 fat mass kg/m2; P = 0.02) among all females. Changes were not consistent across all age, race and Hispanic origin, and BMI categories. Both %BF and FMI increased among Mexican-American children and adolescents, but not other race and Hispanic origin groups. CONCLUSIONS Among US children and adolescents, DXA-derived measures of adiposity increased from 1999-2006 to 2011-2018, albeit not consistently in every age, race and Hispanic origin, and BMI subgroup. These data reinforce the need to consider other measures, besides BMI categories, when studying adiposity in children and adolescents.
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Affiliation(s)
| | - Cynthia L Ogden
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA
| | - Jack A Yanovski
- Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, MD, USA
| | - Crescent B Martin
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA
| | - Neda Sarafrazi
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA
| | - Craig M Hales
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD, USA,United States Public Health Service, Rockville, MD, USA
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Differences in Diet Quality and Snack Intakes Among Non-Hispanic White and Mexican American Adolescents from Different Acculturation Groups. J Racial Ethn Health Disparities 2020; 7:1090-1099. [PMID: 32144631 DOI: 10.1007/s40615-020-00732-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 02/16/2020] [Accepted: 02/19/2020] [Indexed: 10/24/2022]
Abstract
Mexican American adolescents have an increased risk for obesity compared to non-Hispanic whites (NHWs), especially as their degree of acculturation increases. Snack intakes can impact diet quality and may affect obesity risk, yet little is known about differences in snack intakes among NHW and Mexican American adolescents from different acculturation groups. This study compared diet quality and snack intakes among NHW and Mexican American adolescents from different acculturation groups. This study used cross-sectional data from 3636 Mexican American and NHW adolescents in the 2005-2014 National Health and Nutrition Examination Survey. Acculturation was defined based on generational status and language use. Outcomes were Healthy Eating Index-2015 (HEI-2015) score, daily energy intake from snacks, snack frequency, energy value of snacks, and percent contribution of snacks to total daily energy. Analysis of covariance was used to compare outcomes across groups, after adjustment for sex and income. In the full sample, mean HEI-2015 score was 45 ± 0.4. Non-Hispanic white adolescents had modestly poorer diet quality compared to US-born adolescents with a foreign-born parent and Mexican-born adolescents (P < 0.001). Mean daily snack intake was 583 ± 16 kcal. Items in the Snacks and Sweets and Beverages categories contributed more than half of the energy provided by snacks. Non-Hispanic white adolescents had a greater total snack intake compared to all language use at home groups, except equal Spanish and English use. Improving the types of foods consumed as snacks has the potential to partially mitigate differences in snack intakes and diet quality among non-Hispanic white and Mexican American adolescents.
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Chatham RE, Mixer SJ. Cultural Influences on Childhood Obesity in Ethnic Minorities: A Qualitative Systematic Review. J Transcult Nurs 2019; 31:87-99. [PMID: 31423926 DOI: 10.1177/1043659619869428] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Introduction: Childhood obesity remains an unrelenting public health problem disproportionately affecting ethnic minorities. Although research has examined ethnicity as a factor of childhood obesity, few studies have examined cultural influences. The purpose of this systematic review was to examine the qualitative evidence of cultural influences on childhood obesity in ethnic minority groups. Methodology: Selective sampling of studies since 2008 yielded 251 articles. Twelve articles that addressed cultural influences on childhood obesity were identified for review. The Culture Care Theory Sunrise Enabler factors were used as an a priori framework for theme coding. Results: Nine themes emerged: child feeding, family, gender roles, food, healthy child appearance, physical activity, sedentary activity, food cost, and obesogenic environment. Discussion: Cultural care practices such as traditional foods and family meals are protective factors in childhood obesity and should be encouraged by nurses caring for and working with ethnic minority populations.
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