251
|
Avilés-Santa ML, Schneiderman N, Savage PJ, Kaplan RC, Teng Y, Pérez CM, Suárez EL, Cai J, Giachello AL, Talavera GA, Cowie CC. IDENTIFYING PROBABLE DIABETES MELLITUS AMONG HISPANICS/LATINOS FROM FOUR U.S. CITIES: FINDINGS FROM THE HISPANIC COMMUNITY HEALTH STUDY/STUDY OF LATINOS. Endocr Pract 2016; 22:1151-1160. [PMID: 27295013 DOI: 10.4158/ep151144.or] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE The aim of this study was to compare the ability of American Diabetes Association (ADA) diagnostic criteria to identify U.S. Hispanics/Latinos from diverse heritage groups with probable diabetes mellitus and assess cardiovascular risk factor correlates of those criteria. METHODS Cross-sectional analysis of data from 15,507 adults from 6 Hispanic/Latino heritage groups, enrolled in the Hispanic Community Health Study/Study of Latinos. The prevalence of probable diabetes mellitus was estimated using individual or combinations of ADA-defined cut points. The sensitivity and specificity of these criteria at identifying diabetes mellitus from ADA-defined prediabetes and normoglycemia were evaluated. Prevalence ratios of hypertension, abnormal lipids, and elevated urinary albumin-creatinine ratio for unrecognized diabetes mellitus-versus prediabetes and normoglycemia-were calculated. RESULTS Among Hispanics/Latinos (mean age, 43 years) with diabetes mellitus, 39.4% met laboratory test criteria for probable diabetes, and the prevalence varied by heritage group. Using the oral glucose tolerance test as the gold standard, the sensitivity of fasting plasma glucose (FPG) and hemoglobin A1c-alone or in combination-was low (18, 23, and 33%, respectively) at identifying probable diabetes mellitus. Individuals who met any criterion for probable diabetes mellitus had significantly higher (P<.05) prevalence of most cardiovascular risk factors than those with normoglycemia or prediabetes, and this association was not modified by Hispanic/Latino heritage group. CONCLUSION FPG and hemoglobin A1c are not sensitive (but are highly specific) at detecting probable diabetes mellitus among Hispanics/Latinos, independent of heritage group. Assessing cardiovascular risk factors at diagnosis might prompt multitarget interventions and reduce health complications in this young population. ABBREVIATIONS 2hPG = 2-hour post-glucose load plasma glucose ADA = American Diabetes Association BMI = body mass index CV = cardiovascular FPG = fasting plasma glucose HbA1c = hemoglobin A1c HCHS/SOL = Hispanic Community Health Study/Study of Latinos HDL-C = high-density-lipoprotein cholesterol NGT = normal glucose tolerance NHANES = National Health and Nutrition Examination Survey OGTT = oral glucose tolerance test TG = triglyceride UACR = urine albumin-creatinine ratio.
Collapse
|
252
|
Ai AL, Appel HB, Lee J. Acculturation Factors Related to Obesity of Latino American Men Nationwide. Am J Mens Health 2016; 12:1421-1430. [PMID: 27283432 DOI: 10.1177/1557988316653182] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Obesity is a public health epidemic, particularly among underrepresented populations. With a large proportion of immigrants, Latino Americans comprise the largest minority population in the United States. This study examined the association of acculturation factors with obesity among Latino American men ( n = 1,127) using the National Latino and Asian American Study. The result identified two acculturation-related factors (being U.S.-born and living in the United States for the longest period/5-10 years) as positive correlates. In contrast, a different study on obesity in Latino American women demonstrated discrimination, but not the above factors, as significant correlates. The men's pattern suggests that the Hispanic/Latino paradox might have greater implications for men with respect to weight issues. Furthermore, Mexican American and Other Latino American men presented a greater likelihood of being obese than Cuban and Puerto Rican men. The findings, if replicated in prospective research, suggest the need for gender- and ethnic-specific intervention for obesity in Latino American men, particularly for the largest subgroup, Mexican Americans.
Collapse
Affiliation(s)
- Amy L Ai
- 1 Florida State University, Tallahassee, FL, USA
| | - Hoa B Appel
- 2 University of Washington Bothell, Bothell, WA, USA
| | - Jungup Lee
- 1 Florida State University, Tallahassee, FL, USA
| |
Collapse
|
253
|
Kołtuniuk A, Rosińczuk J. The prevalence of risk factors for cardiovascular diseases among Polish surgical patients over 65 years. Clin Interv Aging 2016; 11:631-9. [PMID: 27257376 PMCID: PMC4874638 DOI: 10.2147/cia.s105201] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) are the leading cause of mortality among adults in Poland. A number of risk factors have significant influence on CVD incidence. Early identification of risk factors related to our lifestyle facilitates taking proper actions aiming at the reduction of their negative impact on health. AIM The aim of the study was to compare the prevalence of CVD risk factors between patients aged over 65 years and patients of other age groups in surgical wards. MATERIAL AND METHODS The study was conducted for assessment and finding the distribution of major risk factors of CVD among 420 patients aged 18-84 years who were hospitalized in surgical wards. Interview, anthropometric measurements, blood pressure, and fasting blood tests for biochemical analysis were conducted in all subjects. Statistical analysis of the material was performed using Student's t-test, chi-square test, Fisher's exact test, Mann-Whitney U-test, and analysis of variance. RESULTS While abdominal obesity (83.3%), overweight and obesity (68%), hypertension (65.1%), hypercholesterolemia (33.3%), and low level of physical activity (29.1%) were the most common CVD risk factors among patients over 65 years old, abdominal obesity (36.2%), overweight and obesity (36.1%), and current smoking were the most common CVD risk factors among patients up to the age of 35. In the age group over 65, the least prevalent risk factors for CVD were diabetes mellitus (14.8%), depressive episodes (13.6%), abuse of alcohol (11.4%), and smoking (7.8%). In the group under 35 years, we have not reported any cases of hypercholesterolemia and a lesser number of patients suffered from diabetes and HTN. CONCLUSION Distribution of the major risk factors for CVD is quite high in the adult population, especially in the age group over 65, which can result in serious problems of health and increased rates of chronic diseases, especially CVDs.
Collapse
Affiliation(s)
- Aleksandra Kołtuniuk
- Department of Nervous System Diseases, Faculty of Health Science, Wroclaw Medical University, Wroclaw, Poland
| | - Joanna Rosińczuk
- Department of Nervous System Diseases, Faculty of Health Science, Wroclaw Medical University, Wroclaw, Poland
| |
Collapse
|
254
|
Cespedes EM, Dudley KA, Sotres-Alvarez D, Zee PC, Daviglus ML, Shah NA, Talavera GA, Gallo LC, Mattei J, Qi Q, Ramos AR, Schneiderman N, Espinoza-Giacinto RA, Patel SR. Joint associations of insomnia and sleep duration with prevalent diabetes: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). J Diabetes 2016; 8:387-97. [PMID: 25952169 PMCID: PMC5021506 DOI: 10.1111/1753-0407.12308] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Revised: 04/08/2015] [Accepted: 04/29/2015] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Inadequate sleep quantity and quality are associated with a higher risk of type 2 diabetes. This relationship is not well-examined in U.S. Hispanics/Latinos, and prior analyses may be confounded by sleep apnea. This cross-sectional study examined joint associations of sleep duration and insomnia with diabetes among diverse U.S. Hispanic/Latinos. METHODS Baseline data on sleep quantity and quality were obtained from 15,227 participants (mean age 41; range 18-74 years) from the Hispanic Community Health Study/Study of Latinos. Complex survey multinomial logistic regression was used to examine associations between prevalent diabetes and six phenotypes defined by cross-classifying sleep duration (short ≤6 h, average >6-9 h, long >9 h) and insomnia, adjusting for sex, age, site and Hispanic/Latino background interaction, education, physical activity, diet quality, and sleep apnea. RESULTS In the weighted population, 14% had diabetes, 28% had insomnia, 9% were short sleepers, and 19% were long sleepers. Compared with those with average sleep and no insomnia, those with short sleep and insomnia were more likely to have diabetes (odds ratio [OR] 1.46; 95% confidence interval [CI] 1.02, 2.11). Average sleepers with insomnia (1.28; 95% CI 1.02, 1.61) and long sleepers without insomnia (1.33; 95% CI 1.07, 1.65) also had elevated odds of diabetes. Further adjustment for body mass index attenuated associations, except with long sleep without insomnia. CONCLUSIONS Both decreased quantity and quality of sleep are associated with diabetes in Hispanic/Latinos, with the greatest odds among those with short sleep duration and insomnia. The association is largely explained by obesity.
Collapse
Affiliation(s)
- Elizabeth M Cespedes
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Katherine A Dudley
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Collaborative Studies Coordinating Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Phyllis C Zee
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Martha L Daviglus
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Neomi A Shah
- Montefiore Medical Center, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York, USA
| | - Gregory A Talavera
- Division of Health Promotion and Behavioral Science, Graduate School of Public Health, San Diego State University, San Diego, California, USA
| | - Linda C Gallo
- Departments of Psychology, University of California San Diego, San Diego, California, USA
| | - Josiemer Mattei
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Neil Schneiderman
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
| | - Rebeca A Espinoza-Giacinto
- Medicine, Division of Global Public Health, University of California San Diego, San Diego, California, USA
| | - Sanjay R Patel
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA
| |
Collapse
|
255
|
Balfour PC, Ruiz JM, Talavera GA, Allison MA, Rodriguez CJ. Cardiovascular Disease in Hispanics/Latinos in the United States. ACTA ACUST UNITED AC 2016; 4:98-113. [PMID: 27429866 DOI: 10.1037/lat0000056] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Cardiovascular diseases (CVD) are the leading cause of mortality in the United States and Western world for all groups with one exception: CVDs are the number 2 cause of death for Hispanics/Latinos behind cancer with overall cancer rates lower for Latinos relative to non-Hispanic Whites (NHWs). Despite a significantly worse risk factor profile marked by higher rates of traditional and non-traditional determinants, some CVD prevalence and mortality rates are significantly lower among Latinos relative NHWs. These findings support a need for greater understanding of CVDs specifically among Latinos in order to better document prevalence, appropriately model risk and resilience, and improve targeting of intervention efforts. The current aim is to provide a state-of-the-science review of CVDs amongst Latinos including a review of the epidemiological evidence, risk factor prevalence, and evaluation of the breadth and quality of the data. Questions concerning the generalizability of current risk models, the Hispanic paradox as it relates to CVDs, contributing psychosocial and sociocultural factors, and future directions are discussed.
Collapse
Affiliation(s)
- Pelbreton C Balfour
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine
| | - John M Ruiz
- Department of Psychology, University of Arizona
| | - Gregory A Talavera
- Division of Health Promotion and Behavioral Science, Graduate School of Public Health, San Diego State University
| | - Matthew A Allison
- Divison of Preventive Medicine, Department of Family and Preventive Medicine, University of California San Diego School of Medicine
| | - Carlos J Rodriguez
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine; Section of Cardiovascular Medicine, Department of Medicine, Wake Forest School of Medicine
| |
Collapse
|
256
|
Shane-McWhorter L, McAdam-Marx C, Lenert L, Petersen M, Woolsey S, Coursey JM, Whittaker TC, Hyer C, LaMarche D, Carroll P, Chuy L. Augmenting Telemonitoring Interventions by Targeting Patient Needs in a Primarily Hispanic Underserved Population. Diabetes Spectr 2016; 29:121-7. [PMID: 27182183 PMCID: PMC4865385 DOI: 10.2337/diaspect.29.2.121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
| | | | - Leslie Lenert
- Medical University of South Carolina, Charleston, SC
| | - Marta Petersen
- University of Utah, Salt Lake City, UT
- Utah Telehealth Network, Salt Lake City, UT
| | | | - Jeffrey M. Coursey
- University of Utah, Salt Lake City, UT
- Community Health Centers, Inc., Salt Lake City, UT
| | | | | | | | | | - Libbey Chuy
- Association for Utah Community Health, Salt Lake City, UT
| |
Collapse
|
257
|
Abstract
Although disproportionately affected by increasing rates of type 2 diabetes and dyslipidemias, Hispanic populations are underrepresented in efforts to understand genetic susceptibility to these disorders. Where research has been undertaken, these populations have provided substantial insight into identification of novel risk-associated genes and have aided in the ability to fine map previously described risk loci. Genome-wide analyses in Hispanic and trans-ethnic populations have resulted in identification of more than 40 replicated or novel genes with significant effects for type 2 diabetes or lipid traits. Initial investigations into rare variant effects have identified new risk-associated variants private to Hispanic populations, and preliminary results suggest metagenomic approaches in Hispanic populations, such as characterizing the gut microbiome, will enable the development of new predictive tools and therapeutic targets for type 2 diabetes. Future genome-wide studies in expanded cohorts of Hispanics are likely to result in new insights into the genetic etiology of metabolic health.
Collapse
Affiliation(s)
- Jennifer E Below
- The Human Genetics Center, University of Texas School of Public Health, Houston, TX, USA.
| | - Esteban J Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada
| |
Collapse
|
258
|
Ethnic differences in the relationships between diabetes, early age adiposity and mortality among breast cancer survivors: the Breast Cancer Health Disparities Study. Breast Cancer Res Treat 2016; 157:167-78. [DOI: 10.1007/s10549-016-3810-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 04/19/2016] [Indexed: 02/07/2023]
|
259
|
Wang X, Jung M, Mossavar-Rahmani Y, Sotres-Alvarez D, Espinoza Giacinto RA, Pirzada A, Reina SA, Casagrande SS, Wang T, Avilés-Santa ML, Kaplan RC, Qi Q. Macronutrient Intake, Diagnosis Status, and Glycemic Control Among US Hispanics/Latinos With Diabetes. J Clin Endocrinol Metab 2016; 101:1856-64. [PMID: 26950682 PMCID: PMC4880152 DOI: 10.1210/jc.2015-3237] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
CONTEXT Diet modification is a mainstay of diabetes management. US Hispanics/Latinos are disproportionately affected by diabetes, but few studies have examined dietary intake among US Hispanics/Latinos with diabetes, and little is known regarding the influence of diabetes awareness on dietary intake. OBJECTIVE We evaluated macronutrient intake and its associations with diabetes awareness and glycemic control among US Hispanics/Latinos with diabetes. PARTICIPANTS This analysis included 3310 diabetic adults aged 18–74 years from the Hispanic Community Health Study/Study of Latinos (2008–2011). MAIN OUTCOME MEASURES Diabetes was defined as diagnosed (based on medical history or antihyperglycemic medication use) or undiagnosed diabetes (based on fasting glucose ≥ 126 mg/dL, glycated hemoglobin [HbA1c] ≥ 6.5%, or 2 h glucose ≥ 200 mg/dL in the absence of a physician diagnosis). Dietary intake was assessed using two 24-hour recalls. RESULTS Among Hispanic/Latino adults with diabetes, 21.2%, 55.7%, and 71.2% met the American Diabetes Association recommendations for fiber (≥14 g per 1000 kcal), saturated fat (<10% of total energy), and cholesterol intake (<300 mg), respectively. Compared with those with undiagnosed diabetes, people with diagnosed diabetes consumed less carbohydrate (50.3 vs 52.4% of total energy; P = .017), total sugar (19.1 vs 21.5% of total energy; P = .002), added sugar (9.8 vs 12.1% of total energy; P < .001), and more total fat (30.7 vs 29.3% of total energy; P = .048) and monounsaturated fat (11.5 vs 10.7% of total energy; P = .021). Association between diabetes awareness and low total and added sugar intake was observed in individuals of Mexican and Puerto Rican background but not in other groups (P for interaction < .05). Among people with diagnosed diabetes, those with HbA1c of 7% or greater consumed more total fat, saturated fat, and cholesterol than those with HbA1c less than 7% (all P < .05). CONCLUSIONS Among US Hispanics/Latinos with diabetes, fiber intake is low, and diabetes awareness is associated with reduced carbohydrate and sugar intake and increased monounsaturated fat intake. Sugar intake may require special attention in certain Hispanic/Latino background groups.
Collapse
Affiliation(s)
- Xueyin Wang
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Molly Jung
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Daniela Sotres-Alvarez
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Rebeca A Espinoza Giacinto
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Amber Pirzada
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Samantha A Reina
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Sarah S Casagrande
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Tao Wang
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - M Larissa Avilés-Santa
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Robert C Kaplan
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| | - Qibin Qi
- Department of Epidemiology and Population Health (X.W., M.J., Y.M.-R., T.W., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, New York 10461; Department of Epidemiology and Biostatistics (X.W.), School of Public Health, Peking University Health Science Center, Beijing 100191, China; Collaborative Studies Coordinating Center (D.S.-A.), Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; San Diego State University (R.A.E.G.), San Diego, California 92182; Institute for Minority Health Research (A.P.), University of Illinois at Chicago, Chicago, Illinois 60637; Department of Psychology (S.A.R.), University of Miami, Miami, Florida 33136; National Institute of Diabetes and Digestive and Kidney Diseases (S.S.C.), National Institutes of Health, Bethesda, Maryland 20892; and Division of Cardiovascular Sciences (M.L.A.-S.), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20824
| |
Collapse
|
260
|
Mehta H, Armstrong A, Swett K, Shah SJ, Allison MA, Hurwitz B, Bangdiwala S, Dadhania R, Kitzman DW, Arguelles W, Lima J, Youngblood M, Schneiderman N, Daviglus ML, Spevack D, Talavera GA, Raisinghani A, Kaplan R, Rodriguez CJ. Burden of Systolic and Diastolic Left Ventricular Dysfunction Among Hispanics in the United States: Insights From the Echocardiographic Study of Latinos. Circ Heart Fail 2016; 9:e002733. [PMID: 27048764 PMCID: PMC4826756 DOI: 10.1161/circheartfailure.115.002733] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 02/10/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Population-based estimates of cardiac dysfunction and clinical heart failure (HF) remain undefined among Hispanics/Latino adults. METHODS AND RESULTS Participants of Hispanic/Latino origin across the United States aged 45 to 74 years were enrolled into the Echocardiographic Study of Latinos (ECHO-SOL) and underwent a comprehensive echocardiography examination to define left ventricular systolic dysfunction (LVSD) and left ventricular diastolic dysfunction (LVDD). Clinical HF was defined according to self-report, and those with cardiac dysfunction but without clinical HF were characterized as having subclinical or unrecognized cardiac dysfunction. Of 1818 ECHO-SOL participants (mean age 56.4 years; 42.6% male), 49.7% had LVSD or LVDD or both. LVSD prevalence was 3.6%, whereas LVDD was detected in 50.3%. Participants with LVSD were more likely to be males and current smokers (all P<0.05). Female sex, hypertension, diabetes mellitus, higher body mass index, and renal dysfunction were more common among those with LVDD (all P<0.05). In age-sex adjusted models, individuals of Central American and Cuban backgrounds were almost 2-fold more likely to have LVDD compared with those of Mexican backgrounds. Prevalence of clinical HF with LVSD (HF with reduced EF) was 7.3%; prevalence of clinical HF with LVDD (HF with preserved EF) was 3.6%. 96.1% of the cardiac dysfunction seen was subclinical or unrecognized. Compared with those with clinical cardiac dysfunction, prevalent coronary heart disease was the only factor independently associated with subclinical or unrecognized cardiac dysfunction (odds ratio: 0.1; 95% confidence interval: 0.1-0.4). CONCLUSIONS Among Hispanics/Latinos, most cardiac dysfunction is subclinical or unrecognized, with a high prevalence of diastolic dysfunction. This identifies a high-risk population for the development of clinical HF.
Collapse
Affiliation(s)
- Hardik Mehta
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Anderson Armstrong
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Katrina Swett
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Sanjiv J Shah
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Matthew A Allison
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Barry Hurwitz
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Shrikant Bangdiwala
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Rupal Dadhania
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Dalane W Kitzman
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - William Arguelles
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Joao Lima
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Marston Youngblood
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Neil Schneiderman
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Martha L Daviglus
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Daniel Spevack
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Greg A Talavera
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Ajit Raisinghani
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Robert Kaplan
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.)
| | - Carlos J Rodriguez
- From the Department of Medicine, Section on Cardiovascular Medicine and Department of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC (H.M., K.S., R.D., D.W.K., C.J.R.); Department of Cardiology, Johns Hopkins University, Baltimore, MD (A.A., J.L.); Department of Medicine and Cardiology, Northwestern University, Chicago, IL (S.J.S.); Department of Family Medicine and Public Health, Division of Preventive Medicine (M.A.A.), and Division of Cardiovascular Medicine (A.R.), University of California at San Diego; Department of Psychology, University of Miami (B.H., W.A., N.S.); Departments of Biostatistics, University of North Carolina, Chapel Hill (S.B., M.Y.); Department of Medicine, University of Illinois at Chicago (M.L.D.); Department of Epidemiology and Population Health, Albert Einstein School of Medicine, Bronx, NY (D.S., R.K.); and Department of Public Health, San Diego State University, CA (G.A.T.).
| |
Collapse
|
261
|
Abstract
Persons of Mexican origin and some other Latino groups in the United States have experienced a survival advantage compared with their non-Latino White counterparts, a pattern known as the Latino, Hispanic, or epidemiological paradox. However, high rates of obesity and diabetes among Latinos relative to Whites and continued increases in the prevalence of these conditions suggest that this advantage may soon disappear. Other phenomena, including high rates of disability in the older Latino population compared with Whites, new evidence of health declines shortly after migration to the United States, increasing environmental stressors for immigrants, and high-risk values of inflammatory markers among Latinos compared with Whites support this prediction. One powerful counterargument, however, is substantially lower smoking-attributable mortality among Latinos. Still, it is questionable as to whether smoking behavior can counteract the many forces at play that may impede Latinos from experiencing future improvements in longevity on a par with Whites.
Collapse
Affiliation(s)
- Noreen Goldman
- Office of Population Research, Princeton University, Princeton, NJ, USA
| |
Collapse
|
262
|
López L, Tan-McGrory A, Horner G, Betancourt JR. Eliminating disparities among Latinos with type 2 diabetes: Effective eHealth strategies. J Diabetes Complications 2016; 30:554-60. [PMID: 26774790 PMCID: PMC5006182 DOI: 10.1016/j.jdiacomp.2015.12.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Revised: 11/16/2015] [Accepted: 12/03/2015] [Indexed: 11/19/2022]
Abstract
Latinos are at increased risk for obesity and type 2 diabetes (T2D). Well-designed information technology (IT) interventions have been shown to be generally efficacious in improving diabetes self-management. However, there are very few published IT intervention studies focused on Latinos. With the documented close of the digital divide, Latinos stand to benefit from such advances. There are limited studies on how best to address the unique socio-cultural-linguistic characteristics that would optimize adoption, use and benefit among Latinos. Successful e-health programs involve frequent communication, bidirectionality including feedback, and multimodal delivery of the intervention. The use of community health workers (CHWs) has been shown consistently to improve T2D outcomes in Latinos. Incorporating CHWs into eHealth interventions is likely to address barriers with technology literacy and improve patient activation, satisfaction and adherence. Additionally, tailored interventions are more successful in improving patient activation. It is important to note that tailoring is more than linguistic translation; tailoring interventions to the Latino population will need to address educational, language, literacy and acculturation levels, along with unique illness beliefs and attitudes about T2D found among Latinos. Interventions will need to go beyond the lone participant and include shared decision making models that incorporate family members and friends.
Collapse
Affiliation(s)
- Lenny López
- Disparities Solutions Center, Massachusetts General Hospital, Boston, MA; Mongan Institute for Health Policy, Massachusetts General Hospital, Boston, MA; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA; Brigham and Women's Hospital, Boston, MA.
| | - Aswita Tan-McGrory
- Disparities Solutions Center, Massachusetts General Hospital, Boston, MA; Mongan Institute for Health Policy, Massachusetts General Hospital, Boston, MA
| | - Gabrielle Horner
- Mongan Institute for Health Policy, Massachusetts General Hospital, Boston, MA
| | - Joseph R Betancourt
- Disparities Solutions Center, Massachusetts General Hospital, Boston, MA; Mongan Institute for Health Policy, Massachusetts General Hospital, Boston, MA
| |
Collapse
|
263
|
Carlson JA, Remigio-Baker RA, Anderson CAM, Adams MA, Norman GJ, Kerr J, Criqui MH, Allison M. Walking mediates associations between neighborhood activity supportiveness and BMI in the Women's Health Initiative San Diego cohort. Health Place 2016; 38:48-53. [PMID: 26798961 PMCID: PMC4819420 DOI: 10.1016/j.healthplace.2016.01.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Revised: 12/28/2015] [Accepted: 01/04/2016] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To investigate whether walking mediates neighborhood built environment associations with weight status in middle- and older-aged women. METHODS Participants (N=5085; mean age=64 ± 7.7; 75.4% White non-Hispanic) were from the Women's Health Initiative San Diego cohort baseline visits. Body mass index (BMI) and waist circumference were measured objectively. Walking was assessed via survey. The geographic information system (GIS)-based home neighborhood activity supportiveness index included residential density, street connectivity, land use mix, and number of parks. RESULTS BMI was 0.22 units higher and the odds ratio for being obese (vs. normal or overweight) was 8% higher for every standard deviation decrease in neighborhood activity supportiveness. Walking partially mediated these associations (22-23% attenuation). Findings were less robust for waist circumference. CONCLUSIONS Findings suggest women who lived in activity-supportive neighborhoods had a lower BMI than their counterparts, in part because they walked more. Improving neighborhood activity supportiveness has population-level implications for improving weight status and health.
Collapse
Affiliation(s)
- Jordan A Carlson
- Children's Mercy Hospital, 610 E. 22nd St., Kansas City, MO 64108, USA.
| | | | - Cheryl A M Anderson
- University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
| | - Marc A Adams
- Arizona State University, 500 N. Third St., Phoenix, AZ 85006, USA.
| | - Gregory J Norman
- University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
| | - Jacqueline Kerr
- University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
| | - Michael H Criqui
- University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
| | - Matthew Allison
- University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
| |
Collapse
|
264
|
Arroyo-Johnson C, Mincey KD, Ackermann N, Milam L, Goodman MS, Colditz GA. Racial and Ethnic Heterogeneity in Self-Reported Diabetes Prevalence Trends Across Hispanic Subgroups, National Health Interview Survey, 1997-2012. Prev Chronic Dis 2016; 13:E10. [PMID: 26796518 PMCID: PMC4722936 DOI: 10.5888/pcd13.150260] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Introduction We examined racial/ethnic heterogeneity in self-reported diabetes prevalence over 15 years. Methods We used National Health Interview Survey data for 1997 through 2012 on 452,845 adults aged 18 years or older. Annual self-reported diabetes prevalence was estimated by race/ethnicity and education. We tested for trends over time by education and race/ethnicity. We also analyzed racial/ethnic and education trends in average annual prevalence. Results During the 15 years studied, diabetes prevalence differed significantly by race/ethnicity (P < .001) and by Hispanic subgroup (P < .001). Among participants with less than a high school education, the 5-year trend in diabetes prevalence was highest among Cubans and Cuban Americans (β5YR = 4.8, P = .002), Puerto Ricans (β5YR = 2.2, P = .06), non-Hispanic blacks (β5YR = 2.2, P < .001), and non-Hispanic whites (β5YR = 2.1, P < .001). Among participants with more than a high school education, non-Hispanic blacks had the highest average annual prevalence (5.5%) and Puerto Ricans had the highest 5-year trend in annual diabetes prevalence (β5YR = 2.6, P = .001). Conclusions In this representative sample of US adults, results show ethnic variations in diabetes prevalence. The prevalence of diabetes is higher among Hispanics than among non-Hispanic whites, unevenly distributed across Hispanic subgroups, and more pronounced over time and by education. Findings support disaggregation of data for racial/ethnic populations in the United States to monitor trends in diabetes disparities and the use of targeted, culturally appropriate interventions to prevent diabetes.
Collapse
Affiliation(s)
- Cassandra Arroyo-Johnson
- Health Sciences, Department of Surgery, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8100, St Louis, MO 63110.
| | | | | | - Laurel Milam
- Washington University in St Louis, St Louis, Missouri
| | | | | |
Collapse
|
265
|
Coughlin SS, Hardy D, Caplan LS. The need for culturally-tailored smartphone applications for weight control. JOURNAL OF THE GEORGIA PUBLIC HEALTH ASSOCIATION 2016; 5:228-232. [PMID: 27034994 PMCID: PMC4811606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Approximately 35% of U.S. adults are obese, and this rate is expected to increase by almost 50% by 2030. New media such as smartphone applications (apps) provide a useful and low-cost way to disseminate weight control information. For many culturally distinctive population subgroups, however, there is currently an absence of research-tested smartphone apps for weight control. METHODS In this commentary, we highlight the need for culturally tailored smartphone apps for weight control and offer recommendations for further research by providing two specific examples: 1) the characteristic dietary patterns and absence of smartphone apps for weight loss for Hispanic Americans, in English and Spanish, and 2) and need for smartphone apps for weight loss for Brazilian Americans, including those who speak Portuguese. RESULTS Smartphone apps can be an effective intervention for improving diet and nutrition, encouraging physical activity, and reducing obesity, but few randomized controlled trials have been conducted of stand-alone smartphone apps for weight loss that focus primarily on self-monitoring of diet and physical activity. Further, there have been no published studies of apps for promoting healthy diet, better nutrition, increasing levels of physical activity, and weight loss among Hispanic Americans or Brazilian Americans. CONCLUSIONS Low-cost, effective e-Health interventions (healthcare practices supported by electronic processes) are needed to promote physical activity, healthy eating, and weight control in culturally distinctive subgroups of the population. For weight loss, apps should be developed by use of evidence-based approaches that relate to behavioral theories. Additional public health research is needed to identify low-cost, effective strategies for weight loss for people who have varying levels of health literacy, and for non-English speakers. Culturally tailored e-Health interventions for weight control are more likely to address the needs of individuals and increase their motivation to engage in health promoting behaviors.
Collapse
Affiliation(s)
- Steven S Coughlin
- Department of Community Health and Sustainability, Division of Public Health, University of Massachusetts, Lowell, MA ; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Dale Hardy
- College of Allied Health Sciences, Augusta University, Augusta, GA
| | - Lee S Caplan
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA
| |
Collapse
|
266
|
Greenblatt AP, Salazar CR, Northridge ME, Kaplan RC, Taylor GW, Finlayson TL, Qi Q, Badner V. Association of diabetes with tooth loss in Hispanic/Latino adults: findings from the Hispanic Community Health Study/Study of Latinos. BMJ Open Diabetes Res Care 2016; 4:e000211. [PMID: 27239319 PMCID: PMC4873949 DOI: 10.1136/bmjdrc-2016-000211] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 03/20/2016] [Accepted: 04/02/2016] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES To investigate the association between diabetes mellitus and missing teeth in Hispanic/Latino adults from diverse heritage groups who reside in the USA. RESEARCH DESIGN AND METHODS The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) is a multicenter, population-based study of 18-74 years old who underwent a physical and oral examination (n=15 945). Glycemic status was categorized as diabetes, impaired, or normal, based on medication use, and American Diabetes Association criteria for fasting glucose and glycosylated hemoglobin (HbA1c). HbA1c<7% indicated good glycemic control, and HbA1c>7% indicated uncontrolled diabetes. We estimated ORs and 95% CIs for missing >9 teeth and being edentulous (missing all natural teeth), after adjustment for age, income, education, Hispanic background, study site/center, nativity, last dental visit, health insurance, diet quality, cigarette smoking, obesity, periodontitis, and C reactive protein. RESULTS Persons with uncontrolled diabetes had a significant increased likelihood of missing >9 teeth and being edentulous as compared with persons with normal glycemic status (adjusted OR=1.92, 95% CI 1.44 to 2.55 and adjusted OR=1.73, 95% CI 1.22 to 2.46, respectively). The association appeared to be stronger at younger ages (18-44 years old; p for interaction <0.0001). However, we found no associations of either impaired glycemia or controlled diabetes with tooth loss in adjusted models. CONCLUSIONS Dentists should be aware of their Hispanic patients' diabetes status and whether or not they are well controlled, because these may affect tooth loss and impair oral function, which can lead to poor nutrition and complications of diabetes.
Collapse
Affiliation(s)
- Ariel P Greenblatt
- Jacobi Medical Center, Bronx, New York, USA
- New York University College of Dentistry, New York, New York, USA
| | | | | | | | - George W Taylor
- University of California San Francisco School of Dentistry, San Francisco, California, USA
| | - Tracy L Finlayson
- Graduate School of Public Health, San Diego State University, San Diego, California, USA
| | - Qibin Qi
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Victor Badner
- Jacobi Medical Center, Bronx, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| |
Collapse
|
267
|
Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, Huffman MD, Isasi CR, Jiménez MC, Judd SE, Kissela BM, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Magid DJ, McGuire DK, Mohler ER, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Rosamond W, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Woo D, Yeh RW, Turner MB. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation 2015; 133:e38-360. [PMID: 26673558 DOI: 10.1161/cir.0000000000000350] [Citation(s) in RCA: 3739] [Impact Index Per Article: 415.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
268
|
Lazo M, Bilal U, Perez-Escamilla R. Epidemiology of NAFLD and Type 2 Diabetes: Health Disparities Among Persons of Hispanic Origin. Curr Diab Rep 2015; 15:116. [PMID: 26468154 DOI: 10.1007/s11892-015-0674-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver condition in the USA and worldwide and affects Hispanics disproportionally. In this review, we aim to document and contrast the epidemiology of NAFLD and type 2 diabetes, provide a framework to study health disparities in NAFLD in Hispanic populations, and identify points of action within the health care system to tackle these health disparities. NAFLD shares many common risk factors with type 2 diabetes, specially obesity and insulin resistance, but shows different prevalence patterns by ethnicity: while Hispanics are disproportionately affected by both NAFLD and type 2 diabetes, non-Hispanic black populations have a low prevalence of NAFLD. The current literature suggests a strong role of polymorphisms in the PNPLA3 gene and potential interactions with environmental factors in the pathogenesis of NAFLD. However, given potential interactions and the shared risk factors with type 2 diabetes, a health disparity approach that acknowledges upstream determinants is needed. Solutions to these determinants can also be found in the health system. The role of interventions that have shown efficacy in type 2 diabetes, like community health workers, may be implemented to prevent and control NAFLD.
Collapse
Affiliation(s)
- Mariana Lazo
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, 2024 E. Monument Street 2-615, Baltimore, MD, 21205, USA.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, W6604, Baltimore, MD, 21205, USA.
| | - Usama Bilal
- The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, 2024 E. Monument Street 2-615, Baltimore, MD, 21205, USA.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, W6604, Baltimore, MD, 21205, USA.
| | - Rafael Perez-Escamilla
- Department of Chronic Disease Epidemiology, Yale School of Public Health, 135 College St. (Suite 200), New Haven, CT, 06510, USA.
| |
Collapse
|
269
|
Kaltman S, Serrano A, Talisman N, Magee MF, Cabassa LJ, Pulgar-Vidal O, Peraza D. Type 2 Diabetes and Depression. DIABETES EDUCATOR 2015; 42:87-95. [DOI: 10.1177/0145721715617536] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Purpose The purpose of the current study was to determine the feasibility, acceptability, and preliminary effectiveness of an integrated self-management intervention that simultaneously targets diabetes and depression self-management in a primary care clinic that serves the Latino immigrant community. Methods The integrated intervention included behavioral activation and motivational interviewing techniques. It was developed with patient, family member, and provider stakeholders, and it comprised 6 individual sessions, followed by 2 monthly booster sessions. Eighteen Latino immigrants participated in an open trial of the intervention. A1C levels were examined at baseline and postintervention. Participants also completed measures of depression, diabetes self-management behaviors, patient activation, and diabetes-related self-efficacy and gave open-ended feedback about the intervention. Results Feasibility of delivering the intervention in the primary care setting and acceptability to the target population were demonstrated. Among participants completing the intervention, A1C levels decreased significantly from baseline. A significant reduction in depressive symptoms and an improvement in diabetes self-management behaviors, patient activation, and diabetes-related self-efficacy were observed. Qualitative responses from participants indicated unilateral positive responses to the intervention and endorsed its continuation in the clinic. Conclusions This pilot trial demonstrated the feasibility and acceptability of an integrated self-management intervention for diabetes and depression. In addition, preliminary data suggest that the intervention may have a positive impact on diabetes and depression-related outcomes. Further evaluation is warranted.
Collapse
Affiliation(s)
- Stacey Kaltman
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Ms Serrano, Mr Talisman)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- School of Social Work, Columbia University, and the Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
| | - Adriana Serrano
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Ms Serrano, Mr Talisman)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- School of Social Work, Columbia University, and the Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
| | - Nicholas Talisman
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Ms Serrano, Mr Talisman)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- School of Social Work, Columbia University, and the Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
| | - Michelle F. Magee
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Ms Serrano, Mr Talisman)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- School of Social Work, Columbia University, and the Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
| | - Leopoldo J. Cabassa
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Ms Serrano, Mr Talisman)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- School of Social Work, Columbia University, and the Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
| | - Olga Pulgar-Vidal
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Ms Serrano, Mr Talisman)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- School of Social Work, Columbia University, and the Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
| | - Dorys Peraza
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Ms Serrano, Mr Talisman)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- School of Social Work, Columbia University, and the Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
| |
Collapse
|
270
|
Kaltman S, Talisman N, Serrano A, Cabassa LJ, Magee MF, Pulgar-Vidal O, Peraza D, Cohen NR. Type 2 Diabetes and Depression. DIABETES EDUCATOR 2015; 41:763-72. [DOI: 10.1177/0145721715608954] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Purpose The purpose of the current study was to engage a local primary care clinic community that serves the Latino immigrant population to obtain their input regarding the design and implementation of a proposed integrated behavioral intervention that will simultaneously target T2DM and depression self-management in this high risk patient population. Methods Nine key informant interviews and 3 focus groups were conducted. Key informant interviews were conducted with the medical director, a primary care provider, a diabetes educator, and a medical assistant from each site, as well as the counselor who serves both sites. Fourteen patients with T2DM who screened positive for depression and 7 of their family members participated in the focus groups. Key informants and focus group participants were asked about patient challenges with diabetes management, the role of depression in T2DM, their impressions of the proposed intervention, and motivators and barriers to participation in the intervention. Results Commonly reported challenges with diabetes management included the struggle with healthy eating and information exchange upon diagnosis. T2DM and depression were seen as interrelated and described by many as having a cyclical relationship. Key informants and focus group participants uniformly supported the proposed intervention and recommended the involvement of family members. Conclusions Results of this study support the need and acceptability of individualized behavioral interventions that target T2DM and depression simultaneously.
Collapse
Affiliation(s)
- Stacey Kaltman
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| | - Nicholas Talisman
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| | - Adriana Serrano
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| | - Leopoldo J. Cabassa
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| | - Michelle F. Magee
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| | - Olga Pulgar-Vidal
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| | - Dorys Peraza
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| | - Nancy R. Cohen
- Department of Psychiatry, Georgetown University Medical Center, Washington, DC (Dr Kaltman, Mr Talisman, Mrs Serrano)
- School of Social Work, Columbia University, and Center of Excellence for Cultural Competence, New York State Psychiatric Institute, New York, New York (Dr Cabassa)
- MedStar Diabetes Institute and MedStar Health Research Institute, Washington, DC (Dr Magee)
- Spanish Catholic Center, Washington, DC (Ms Pulgar-Vidal, Ms Peraza)
- American University, Washington, DC (Ms Cohen)
| |
Collapse
|
271
|
Cruickshanks KJ, Dhar S, Dinces E, Fifer RC, Gonzalez F, Heiss G, Hoffman HJ, Lee DJ, Newhoff M, Tocci L, Torre P, Tweed TS. Hearing Impairment Prevalence and Associated Risk Factors in the Hispanic Community Health Study/Study of Latinos. JAMA Otolaryngol Head Neck Surg 2015; 141:641-8. [PMID: 26021283 DOI: 10.1001/jamaoto.2015.0889] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
IMPORTANCE Hearing impairment is common in adults, but few studies have addressed it in the US Hispanic/Latino population. OBJECTIVE To determine the prevalence of hearing impairment among US Hispanic/Latino adults of diverse backgrounds and determine associations with potential risk factors. DESIGN, SETTING, AND PARTICIPANTS The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) is a population-based sample of Hispanics/Latinos in four US communities (Bronx, New York; Chicago, Illinois; Miami, Florida; and San Diego, California). Examinations were conducted from 2008 through 2011. The HCHS/SOL examined 16,415 self-identified Hispanic/Latino persons aged 18 to 74 years recruited from randomly selected households using a stratified 2-stage area probability sample design based on census block groups and households within block groups. MAIN OUTCOMES AND MEASURES Hearing thresholds were measured by pure-tone audiometry. Hearing impairment was defined as a pure-tone average (PTA) of thresholds at 0.5, 1, 2, and 4 kHz greater than 25 dB hearing level. Bilateral hearing impairment required a PTA greater than 25 dB hearing level in both ears. Multivariable analyses included adjustments for sociodemographic and lifestyle variables, body mass index, and medical conditions. RESULTS The prevalence of hearing impairment was 15.06% (SE, 0.44%) overall, and 8.24% (SE, 0.33%) had bilateral hearing impairment. The prevalence of hearing impairment was higher among people 45 years and older, ranging by Hispanic/Latino background from 29.35% to 41.20% among men and 17.89% to 32.11% among women. The multivariable-adjusted odds of hearing impairment was greater for participants of Puerto Rican background compared with Mexican background (odds ratio [OR], 1.57 [95% CI, 1.10-2.25]). The odds of hearing impairment were lower with more education (OR, 0.71 [95% CI, 0.59-0.86] for at least high school) and higher income (OR, 0.58 [95% CI, 0.36-0.92] for >$75,000 vs ≤$10,000). Noise exposure (OR, 1.35 [95% CI, 1.07-1.70]), diabetes (OR, 1.57 [95% CI, 1.27-1.94]), and prediabetes (OR, 1.37 [95% CI, 1.12-1.67]) were associated with hearing impairment. CONCLUSIONS AND RELEVANCE Hearing impairment is a common problem for older Hispanics/Latinos in these communities and is associated with socioeconomic factors, noise exposure, and abnormal glucose metabolism. Longitudinal studies are needed to determine whether these factors are involved in the etiology of hearing impairment and to identify ways to prevent or delay age-related changes in hearing.
Collapse
Affiliation(s)
- Karen J Cruickshanks
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison2Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison
| | - Sumitrajit Dhar
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois
| | - Elizabeth Dinces
- Department of Otorhinolaryngology-Head and Neck Surgery, Montefiore Medical Center, University Hospital for Albert Einstein College of Medicine, Bronx, New York
| | - Robert C Fifer
- Mailman Center for Child Development, Department of Pediatrics, University of Miami Miller School of Medicine, Miami, Florida
| | - Franklyn Gonzalez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill
| | - Gerardo Heiss
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill
| | - Howard J Hoffman
- Epidemiology and Statistics Program, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, Maryland
| | - David J Lee
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida
| | - Marilyn Newhoff
- College of Health and Human Services, San Diego State University, San Diego, California10School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, California
| | - Laura Tocci
- Department of Otorhinolaryngology-Head and Neck Surgery, Montefiore Medical Center, University Hospital for Albert Einstein College of Medicine, Bronx, New York
| | - Peter Torre
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, California
| | - Ted S Tweed
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison
| |
Collapse
|
272
|
González G, Wilson-Frederick Wilson SM, Thorpe RJ. Examining Place As a Social Determinant of Health: Association Between Diabetes and US Geographic Region Among Non-Hispanic Whites and a Diverse Group of Hispanic/Latino Men. FAMILY & COMMUNITY HEALTH 2015; 38:319-331. [PMID: 26291192 DOI: 10.1097/fch.0000000000000081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Place (geographic location), birthplace, the number of years in the United States, and gender are important social determinants of health essential to our understanding of health disparities. In this study, we examined the association between place and diabetes in white and Hispanic/Latino men and found that place and the number of years in the United States are important social determinants of health. Our findings provide implications for a nuanced perspective by highlighting the importance of examining social determinants of health to identify tailored interventions to address disparities in diabetes for diverse groups of Hispanic/Latino men.
Collapse
Affiliation(s)
- Gloria González
- Hopkins Center for Health Disparities Solutions (Dr González), Department of Epidemiology (Dr Wilson-Frederick Wilson), and Program for Men's Health Research, Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | | |
Collapse
|
273
|
Grineski SE, Herrera JM, Bulathsinhala P, Staniswalis JG. Is there a Hispanic Health Paradox in Sensitivity to Air Pollution? Hospital Admissions for Asthma, Chronic Obstructive Pulmonary Disease and Congestive Heart Failure Associated with NO 2 and PM 2.5 in El Paso, TX, 2005-2010. ATMOSPHERIC ENVIRONMENT (OXFORD, ENGLAND : 1994) 2015; 119:314-321. [PMID: 26557023 PMCID: PMC4635518 DOI: 10.1016/j.atmosenv.2015.08.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
STUDY OBJECTIVE Linkages between pollution and morbidity have been observed in numerous studies. But race/ethnicity has been underemphasized as a modifier of that association, and few studies have tested for a Hispanic Health Paradox in sensitivity to air pollution. METHODS Daily asthma, chronic obstructive pulmonary disease (COPD) and congestive heart failure (CHF) hospital admissions in El Paso, Texas were studied in age groups and insurance groups. Daily PM2.5 and NO2 were calculated from pollution monitors and all models adjusted for apparent temperature and wind speed. Conditional logistic regression for the case-crossover design was used for a between-group comparison and for a within-group comparison for Hispanics. RESULTS Hispanics were at lower risk than non-Hispanic whites and non-Hispanics of other races for NO2-associated admissions, but at greater risk for PM2.5-associated admissions. While Hispanics were generally protected with regards to NO2, Hispanic children (vs. elderly) faced increased risk for asthma and uninsured Hispanics (vs. Private) faced increased risk for COPD admissions. While Hispanics were at increased risk of PM2.5-associated admissions, certain characteristics heightened their risks: being a Hispanic child (vs. Elderly) for asthma; being a Hispanic with Medicare (vs. Private) for asthma; and being a Hispanic with private insurance (vs. all other insurance types) for CHF. The main effect of pollution on admissions was more significant for asthma and CHF than for COPD, which had the fewest cases. CONCLUSIONS There was heterogeneity in sensitivity to air pollution based on social characteristics and moderate evidence for a Hispanic Health Paradox in sensitivity to NO2.
Collapse
Affiliation(s)
- Sara Elizabeth Grineski
- University of Texas at El Paso, 500 West University Avenue, El Paso, TX, USA 79902, , 915-747-8471 (tele), 915-747-5505 (fax)
| | - Juana M Herrera
- Center for Institutional Evaluation, Research and Planning, University of Texas at El Paso, El Paso, TX, USA
| | | | | |
Collapse
|
274
|
Qi Q, Strizich G, Merchant G, Sotres-Alvarez D, Buelna C, Castañeda SF, Gallo LC, Cai J, Gellman MD, Isasi CR, Moncrieft AE, Sanchez-Johnsen L, Schneiderman N, Kaplan RC. Objectively Measured Sedentary Time and Cardiometabolic Biomarkers in US Hispanic/Latino Adults: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Circulation 2015; 132:1560-9. [PMID: 26416808 DOI: 10.1161/circulationaha.115.016938] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Accepted: 08/03/2015] [Indexed: 01/17/2023]
Abstract
BACKGROUND Sedentary behavior is recognized as a distinct construct from lack of moderate-vigorous physical activity and is associated with deleterious health outcomes. Previous studies have primarily relied on self-reported data, whereas data on the relationship between objectively measured sedentary time and cardiometabolic biomarkers are sparse, especially among US Hispanics/Latinos. METHODS AND RESULTS We examined associations of objectively measured sedentary time (via Actical accelerometers for 7 days) and multiple cardiometabolic biomarkers among 12 083 participants, aged 18 to 74 years, from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Hispanics/Latinos of diverse backgrounds (Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American) were recruited from 4 US cities between 2008 and 2011. Sedentary time (<100 counts/min) was standardized to 16 hours/d of wear time. The mean sedentary time was 11.9 hours/d (74% of accelerometer wear time). After adjustment for moderate-vigorous physical activity and confounding variables, prolonged sedentary time was associated with decreased high-density lipoprotein cholesterol (P=0.04), and increased triglycerides, 2-hour glucose, fasting insulin, and homeostatic model assessment of insulin resistance (all P<0.0001). These associations were generally consistent across age, sex, Hispanic/Latino backgrounds, and physical activity levels. Even among individuals meeting physical activity guidelines, sedentary time was detrimentally associated with several cardiometabolic biomarkers (diastolic blood pressure, high-density lipoprotein cholesterol, fasting and 2-hour glucose, fasting insulin and homeostatic model assessment of insulin resistance; all P<0.05). CONCLUSIONS Our large population-based, objectively derived data showed deleterious associations between sedentary time and cardiometabolic biomarkers, independent of physical activity, in US Hispanics/Latinos. Our findings emphasize the importance of reducing sedentary behavior for the prevention of cardiometabolic diseases, even in those who meet physical activity recommendations.
Collapse
Affiliation(s)
- Qibin Qi
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.).
| | - Garrett Strizich
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Gina Merchant
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Daniela Sotres-Alvarez
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Christina Buelna
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Sheila F Castañeda
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Linda C Gallo
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Jianwen Cai
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Marc D Gellman
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Carmen R Isasi
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Ashley E Moncrieft
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Lisa Sanchez-Johnsen
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Neil Schneiderman
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| | - Robert C Kaplan
- From Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (Q.Q., G.S., C.R.I., R.C.K.); San Diego State University, Graduate School of Public Health, San Diego, CA (G.M., C.B., S.F.C.); University of North Carolina, Collaborative Studies Coordinating Center, Department of Biostatistics, Chapel Hill, NC (D.S.-A., J.C.); San Diego State University, Department of Psychology, San Diego, CA (L.C.G.); University of Miami, Department of Psychology, Miami, FL (M.D.G., A.E.M., N.S.); and University of Illinois at Chicago, Department of Psychiatry, Chicago, IL (L.S.-J.)
| |
Collapse
|
275
|
Ell K, Katon W, Lee PJ, Guterman J, Wu S. Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care. Gen Hosp Psychiatry 2015; 37:414-9. [PMID: 26059979 DOI: 10.1016/j.genhosppsych.2015.05.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Revised: 05/15/2015] [Accepted: 05/22/2015] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Identify biopsychosocial factors associated with depression for patients with Type 2 diabetes. METHOD A quasi-experimental clinical trial of 1293 patients was predominantly Hispanic (91%) female (62%), mean age 53 and average diabetes duration 10 years; 373 (29%) patients were depressed and assessed by Patient Health Questionnaire-9. Demographic, baseline clinical and psychosocial variables were compared between depressed and nondepressed patients. RESULTS Bivariate analyses found depression significantly associated (p<0.05) with female gender, diabetes emotional burden and regimen distress, BMI ≥ 30, lack of an A1C test, diabetes duration, poor self-care, number of diabetes symptoms and complications, functional and physical characteristics (pain, self-rated health condition, Short-Form Health Survey SF-physical, disability score and comorbid illnesses), as well as higher number of ICD-9 diagnoses and emergency room use. A multivariable regression model with stepwise selection identified six key risk factors: greater disability, diabetes symptoms and regimen distress, female gender, less diabetes self-care and lack of A1C. In addition, after controlling for identified six factors, the number of psychosocial stressors significantly associated with increased risk of depression (adjusted odds ratio=1.37, 95% confidence intervals: 1.18-1.58, p<.0001). CONCLUSION Knowing biopsychosocial factors could help primary care physicians and endocrinologists identify a high-risk group of patients needing depression screening.
Collapse
Affiliation(s)
- Kathleen Ell
- School of Social Work, University of Southern California.
| | - Wayne Katon
- Department of Psychiatry and Behavioral Sciences, University of Washington.
| | - Pey-Jiuan Lee
- School of Social Work, University of Southern California.
| | - Jeffrey Guterman
- David Geffen School of Medicine at UCLA and the Los Angeles County Department of Health Services.
| | - Shinyi Wu
- School of Social Work, University of Southern California; Edward R. Roybal Institute on Aging, University of Southern California; Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California.
| |
Collapse
|
276
|
Qi Q, Strizich G, Hanna DB, Giacinto RE, Castañeda SF, Sotres-Alvarez D, Pirzada A, Llabre MM, Schneiderman N, Aviles-Santa L, Kaplan RC. Comparing measures of overall and central obesity in relation to cardiometabolic risk factors among US Hispanic/Latino adults. Obesity (Silver Spring) 2015; 23:1920-8. [PMID: 26260150 PMCID: PMC4551609 DOI: 10.1002/oby.21176] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Accepted: 05/04/2015] [Indexed: 01/15/2023]
Abstract
OBJECTIVE US Hispanics/Latinos have high prevalence of obesity and related comorbidities. We compared overall and central obesity measures in associations with cardiometabolic outcomes among US Hispanics/Latinos. METHODS Multivariable regression assessed cross-sectional relationships of six obesity measures with cardiometabolic outcomes among 16,415 Hispanics/Latinos aged 18-74 years. RESULTS BMI was moderately correlated with waist-to-hip ratio (WHR; women, r = 0.37; men, r = 0.58) and highly correlated with other obesity measures (r ≥ 0.87) (P < 0.0001). All measures of obesity were correlated with unfavorable levels of glycemic traits, blood pressure, and lipids, with similar r-estimates for each obesity measure (P < 0.05). Multivariable-adjusted prevalence ratios (PRs) for diabetes (women, 6.7 [3.9, 11.5]; men, 3.9 [2.2, 6.9]), hypertension (women, 2.4 [1.9, 3.1]; men, 2.5 [1.9, 3.4]), and dyslipidemia (women, 2.1 [1.8, 2.4]; men, 2.2 [1.9, 2.6]) were highest for individuals characterized as overweight/obese (BMI ≥ 25 kg/m(2)) and with abnormal WHR (women ≥0.85; men, ≥0.90), compared with those with normal BMI and WHR (P < 0.0001). Among normal-weight individuals, abnormal WHR was associated with increased cardiometabolic condition prevalence (P < 0.05), particularly diabetes (women, PR = 4.0 [2.2, 7.1]; men, PR = 3.0 [1.6, 5.7]). CONCLUSIONS Obesity measures were associated with cardiometabolic risk factors to a similar degree in US Hispanics/Latinos. WHR is useful to identify individuals with normal BMI at increased cardiometabolic risk.
Collapse
Affiliation(s)
- Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Garrett Strizich
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - David B. Hanna
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Rebeca E. Giacinto
- Graduate School of Public Health, San Diego State University, San Diego, CA
| | | | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, University of North Carolina, Chapel Hill, NC
| | - Amber Pirzada
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL
| | | | | | - Larissa Aviles-Santa
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| |
Collapse
|
277
|
Bianco A, Chiefari E, Nobile CGA, Foti D, Pavia M, Brunetti A. The Association between HMGA1 rs146052672 Variant and Type 2 Diabetes: A Transethnic Meta-Analysis. PLoS One 2015; 10:e0136077. [PMID: 26296198 PMCID: PMC4546600 DOI: 10.1371/journal.pone.0136077] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 07/29/2015] [Indexed: 12/16/2022] Open
Abstract
The high-mobility group A1 (HMGA1) gene has been previously identified as a potential novel candidate gene for susceptibility to insulin resistance and type 2 diabetes (T2D) mellitus. For this reason, several studies have been conducted in recent years examining the association of the HMGA1 gene variant rs146052672 (also designated IVS5-13insC) with T2D. Because of non-univocal data and non-overlapping results among laboratories, we conducted the current meta-analysis with the aim to yield a more precise and reliable conclusion for this association. Using predetermined inclusion criteria, MEDLINE, PubMed, Web of Science, Scopus, Google Scholar and Embase were searched for all relevant available literature published until November 2014. Two of the authors independently evaluated the quality of the included studies and extracted the data. Values from the single studies were combined to determine the meta-analysis pooled estimates. Heterogeneity and publication bias were also examined. Among the articles reviewed, five studies (for a total of 13,789 cases and 13,460 controls) met the predetermined criteria for inclusion in this meta-analysis. The combined adjusted odds ratio estimates revealed that the rs146052672 variant genotype had an overall statistically significant effect on increasing the risk of development of T2D. As most of the study subjects were Caucasian, further studies are needed to establish whether the association of this variant with an increased risk of T2D is generalizable to other populations. Also, in the light of this result, it would appear to be highly desirable that further in-depth investigations should be undertaken to elucidate the biological significance of the HMGA1 rs146052672 variant.
Collapse
Affiliation(s)
- Aida Bianco
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Eusebio Chiefari
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Carmelo G. A. Nobile
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Daniela Foti
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Maria Pavia
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Antonio Brunetti
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| |
Collapse
|
278
|
McCurley JL, Mills PJ, Roesch SC, Carnethon M, Giacinto RE, Isasi CR, Teng Y, Sotres-Alvarez D, Llabre MM, Penedo FJ, Schneiderman N, Gallo LC. Chronic stress, inflammation, and glucose regulation in U.S. Hispanics from the HCHS/SOL Sociocultural Ancillary Study. Psychophysiology 2015; 52:1071-9. [PMID: 25898909 PMCID: PMC4640890 DOI: 10.1111/psyp.12430] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Accepted: 02/06/2015] [Indexed: 12/12/2022]
Abstract
Diabetes prevalence is rising rapidly, and diabetes disproportionately affects Hispanics and other underserved groups. Chronic stress may contribute to diabetes risk, but few studies have examined this relationship in U.S. Hispanics. We examined associations of chronic stress with fasting glucose, glucose tolerance, and glycosylated hemoglobin (HbA1c) in Hispanics without diabetes, and also assessed indirect effects of stress through inflammation (CRP). Participants were 3,923 men and women, aged 18-74, without diabetes, from the four U.S. field centers (Bronx, NY; Chicago, IL; Miami, FL; San Diego, CA) of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sociocultural Ancillary study. Participants completed a measure of chronic life stress and a physical exam with oral glucose tolerance test. In a multivariate regression analysis with adjustment for demographic and health covariates, higher chronic stress was related to higher fasting glucose (standardized regression coefficient: β = .09, p < .01), postload glucose (β = .07, p < .05), and HbA1c levels (β = .08, p < .01). However, there was no indirect effect of stress through inflammation. Findings suggest that higher chronic stress is associated with poorer glucose regulation in Hispanics, prior to the onset of a clinical diabetes diagnosis.
Collapse
Affiliation(s)
- Jessica L. McCurley
- SDSU/UCSD Joint Doctoral Program in Clinical Psychology, University of California, San Diego
| | - Paul J. Mills
- Department of Psychiatry, University of California, San Diego
| | | | - Mercedes Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University
| | | | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
| | - Yanping Teng
- Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | | | - Frank J. Penedo
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University
| | | | | |
Collapse
|
279
|
Mossavar-Rahmani Y, Jung M, Patel SR, Sotres-Alvarez D, Arens R, Ramos A, Redline S, Rock CL, Van Horn L. Eating behavior by sleep duration in the Hispanic Community Health Study/Study of Latinos. Appetite 2015; 95:275-84. [PMID: 26189885 DOI: 10.1016/j.appet.2015.07.014] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 06/08/2015] [Accepted: 07/14/2015] [Indexed: 02/03/2023]
Abstract
UNLABELLED Sleep is an important pillar of health and a modifiable risk factor for diabetes, stroke and obesity. Little is known of diet and sleep patterns of Hispanics/Latinos in the US. Here we examine eating behavior as a function of sleep duration in a sub-sample of 11,888 participants from the Hispanic Community Health Study/Study of Latinos, a community-based cohort study of Hispanics aged 18-74 years in four US cities. Using a cross-sectional probability sample with self-report data on habitual sleep duration and up to two 24-h dietary recalls, we quantified the Alternative Healthy Eating Index (AHEI-2010) score, a measure of diet quality, and intake of selected nutrients related to cardiovascular health. Linear regression models were fit to estimate least-square means of usual nutrient intake of saturated fats, potassium density, fiber, calcium, caffeine and the AHEI-2010 score by sleep duration adjusting for age, sex, Hispanic/Latino background, income, employment status, education, depressive symptomology, and years lived in the US. Distribution of calories over the day and association with sleep duration and BMI were also examined. Short sleepers (≤6 h) had significantly lower intake of potassium, fiber and calcium and long sleepers (≥9 h) had significantly lower intake of caffeine compared to others sleepers after adjusting for covariates. However no difference in the AHEI-2010 score was seen by sleep duration. Significantly more long sleepers, compared to intermediate and short sleepers, reported having ≥30% total daily calories before bedtime. Not consuming a snack or meal within 3 h before bedtime was associated with higher AHEI-2010 scores. These findings identify novel differences in dietary patterns by sleep duration in a Hispanic/Latino cohort in the U.S. CLINICALTRIALS. GOV IDENTIFIER NCT02060344.
Collapse
Affiliation(s)
- Yasmin Mossavar-Rahmani
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Block Bldg. 339, 1300 Morris Park Ave., Bronx, NY 10461, USA.
| | - Molly Jung
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Sanjay R Patel
- Department of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
| | - Raanan Arens
- Division of Respiratory & Sleep Medicine, Children's Hospital at Montefiore, Bronx, NY, USA.
| | - Alberto Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Susan Redline
- Department of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Cheryl L Rock
- Department of Family & Preventive Medicine, University of California, San Diego, La Jolla, CA, USA.
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| |
Collapse
|
280
|
Ferguson S, Swan M, Smaldone A. Does Diabetes Self-management Education in Conjunction With Primary Care Improve Glycemic Control in Hispanic Patients? DIABETES EDUCATOR 2015; 41:472-84. [DOI: 10.1177/0145721715584404] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Purpose The purpose of this systematic review and meta-analysis is to evaluate the effectiveness of diabetes self-management education (DSME) interventions delivered in conjunction with primary care among Hispanic adults with type 2 diabetes mellitus (T2DM). Methods A systematic search of PubMed, Cochrane Library, and the Cumulative Index to Nursing and Allied Health Literature identified randomized controlled trials (RCT) that tested the effect of DSME interventions in Hispanic adults with T2DM. Studies reporting hemoglobin A1C (A1C) pre and post intervention or change in A1C were eligible for inclusion in the meta-analysis. Results Of 625 studies identified, 13 RCTs met criteria for inclusion in the systematic review; of these, 11 studies were included in the meta-analysis. The 13 RCTs represent data from 2784 adult Hispanic subjects. DSME interventions (individual, group, telephone/electronic, and multimodal sessions) varied in intensity from 1-time DSME sessions with phone follow-up to contact every 4 to 6 weeks over 5 years. At ≥6 months following intervention, pooled A1C reduction was −0.25 (95% CI, −0.42 to −0.07), favoring the intervention group. Conclusions DSME in conjunction with primary care is effective in improving glycemic control in Hispanic adults with T2DM. Future comparative effectiveness research is needed to identify best delivery methods to optimize effectiveness of DSME delivered to the Hispanic population.
Collapse
Affiliation(s)
- Sacha Ferguson
- Columbia University School of Nursing, New York, New York (Ms Ferguson, Ms Swan, Dr Smaldone)
| | - Melanie Swan
- Columbia University School of Nursing, New York, New York (Ms Ferguson, Ms Swan, Dr Smaldone)
| | - Arlene Smaldone
- Columbia University School of Nursing, New York, New York (Ms Ferguson, Ms Swan, Dr Smaldone)
| |
Collapse
|
281
|
Ortiz MS, Myers HF, Dunkel Schetter C, Rodriguez CJ, Seeman TE. Psychosocial Predictors of Metabolic Syndrome among Latino Groups in the Multi-Ethnic Study of Atherosclerosis (MESA). PLoS One 2015; 10:e0124517. [PMID: 25906072 PMCID: PMC4408074 DOI: 10.1371/journal.pone.0124517] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 03/15/2015] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE We sought to determine the contribution of psychological variables to risk for metabolic syndrome (MetS) among Latinos enrolled in the Multi-Ethnic Study of Atherosclerosis (MESA), and to investigate whether social support moderates these associations, and whether inflammatory markers mediate the association between psychological variables and MetS. RESEARCH DESIGN AND METHODS Cross-sectional analyses at study baseline were conducted with a national Latino cohort (n = 1,388) that included Mexican Americans, Dominican Americans, Puerto Rican Americans and Central/South Americans. Hierarchical logistic regression analyses were conducted to test the effects of psychosocial variables (chronic stress, depressive symptoms, and social support) on MetS. In addition, separate subgroup-specific models, controlling for nationality, age, gender, socioeconomic position, language spoken at home, exercise, smoking and drinking status, and testing for the effects of chronic stress, depressive symptoms and inflammation (IL-6, CRP, fibrinogen) in predicting risk for MetS were conducted. RESULTS In the overall sample, high chronic stress independently predicted risk for MetS, however this association was found to be significant only in Mexican Americans and Puerto Rican Americans. Social support did not moderate the associations between chronic stress and MetS for any group. Chronic stress was not associated with inflammatory markers in either the overall sample or in each group. CONCLUSIONS Our results suggest a differential contribution of chronic stress to the prevalence of MetS by national groups.
Collapse
Affiliation(s)
- Manuel S. Ortiz
- Department of Psychology, Universidad de La Frontera, Temuco, Chile
- * E-mail:
| | - Hector F. Myers
- Center for Medicine, Health & Society and Psychology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Christine Dunkel Schetter
- Department of Psychology, University of California Los Angeles, Los Angeles, California, United States of America
| | - Carlos J. Rodriguez
- Division of Public Health Sciences, Department of Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Teresa E. Seeman
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America
| |
Collapse
|
282
|
Yracheta JM, Alfonso J, Lanaspa MA, Roncal-Jimenez C, Johnson SB, Sánchez-Lozada LG, Johnson RJ. Hispanic Americans living in the United States and their risk for obesity, diabetes and kidney disease: Genetic and environmental considerations. Postgrad Med 2015; 127:503-10. [PMID: 25746679 DOI: 10.1080/00325481.2015.1021234] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The Hispanic American, the largest minority population in the United States, is at increased risk for obesity, diabetes and end-stage renal disease. Here we review genetic and environmental factors that might account for their increased risk for these conditions. Whereas many environmental and genetic factors have important roles in driving the increased risk for obesity and kidney disease in this population, a case is made that excessive intake of sugary beverages is a contributory cause. Studies focusing on decreasing intake of sugary beverages among the Hispanic American could potentially reduce renal and cardiovascular complications in this population.
Collapse
Affiliation(s)
- Joseph M Yracheta
- Department of Pharmaceutics, School of Pharmacy, University of Washington , Seattle, WA , USA
| | | | | | | | | | | | | |
Collapse
|
283
|
Gallo LC, Fortmann AL, McCurley JL, Isasi CR, Penedo FJ, Daviglus ML, Roesch SC, Talavera GA, Gouskova N, Gonzalez F, Schneiderman N, Carnethon MR. Associations of structural and functional social support with diabetes prevalence in U.S. Hispanics/Latinos: results from the HCHS/SOL Sociocultural Ancillary Study. J Behav Med 2015; 38:160-70. [PMID: 25107504 PMCID: PMC4349398 DOI: 10.1007/s10865-014-9588-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Accepted: 07/25/2014] [Indexed: 12/25/2022]
Abstract
Little research has examined associations of social support with diabetes (or other physical health outcomes) in Hispanics, who are at elevated risk. We examined associations between social support and diabetes prevalence in the Hispanic Community Health Study/Study of Latinos Sociocultural Ancillary Study. Participants were 5,181 adults, 18-74 years old, representing diverse Hispanic backgrounds, who underwent baseline exam with fasting blood draw, oral glucose tolerance test, medication review, sociodemographic assessment, and sociocultural exam with functional and structural social support measures. In adjusted analyses, one standard deviation higher structural and functional social support related to 16 and 15% lower odds, respectively, of having diabetes. Structural and functional support were related to both previously diagnosed diabetes (OR = .84 and .88, respectively) and newly recognized diabetes prevalence (OR = .84 and .83, respectively). Higher functional and structural social support are associated with lower diabetes prevalence in Hispanics/Latinos.
Collapse
Affiliation(s)
- Linda C Gallo
- Department of Psychology, San Diego State University, 9245 Sky Park Court, Suite 115, San Diego, CA, 92123, USA,
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
284
|
Schneiderman N, Chirinos DA, Avilés-Santa ML, Heiss G. Challenges in preventing heart disease in hispanics: early lessons learned from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Prog Cardiovasc Dis 2014; 57:253-61. [PMID: 25212986 PMCID: PMC4252509 DOI: 10.1016/j.pcad.2014.08.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The challenge of preventing cardiovascular disease (CVD) in US Hispanics depends upon being able to understand and communicate about the diversity within this population in terms of environmental exposures, health behaviors, socio-cultural experiences and genetic background to CVD risk factor profiles and disease burdens. Recent publications from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) launched by the National Institutes of Health (NIH) have begun to accomplish this task. In this article we review some of the HCHS/SOL findings concerning cardiometabolic and other CVD risk factors and relate them to the need for increased access to health care and attention to lifestyle variables including nutrition. A major challenge that needs to be accomplished is to alert our lawmakers, public health officials, health care providers and the Hispanic population at large about how to lighten the CVD risk factor and disease burdens now carried by our Hispanic population.
Collapse
Affiliation(s)
- Neil Schneiderman
- Department of Psychology and Behavioral Medicine Research Center, University of Miami, Miami, FL.
| | - Diana A Chirinos
- Department of Psychology and Behavioral Medicine Research Center, University of Miami, Miami, FL
| | - M Larissa Avilés-Santa
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Gerardo Heiss
- Department of Epidemiology, UNC at Chapel Hill, Chapel Hill, NC
| |
Collapse
|
285
|
Kaplan RC, Avilés‐Santa ML, Parrinello CM, Hanna DB, Jung M, Castañeda SF, Hankinson AL, Isasi CR, Birnbaum‐Weitzman O, Kim RS, Daviglus ML, Talavera GA, Schneiderman N, Cai J. Body mass index, sex, and cardiovascular disease risk factors among Hispanic/Latino adults: Hispanic community health study/study of Latinos. J Am Heart Assoc 2014; 3:e000923. [PMID: 25008353 PMCID: PMC5680614 DOI: 10.1161/jaha.114.000923] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Accepted: 05/24/2014] [Indexed: 11/16/2022]
Abstract
BACKGROUND All major Hispanic/Latino groups in the United States have a high prevalence of obesity, which is often severe. Little is known about cardiovascular disease (CVD) risk factors among those at very high levels of body mass index (BMI). METHODS AND RESULTS Among US Hispanic men (N=6547) and women (N=9797), we described gradients across the range of BMI and age in CVD risk factors including hypertension, serum lipids, diabetes, and C-reactive protein. Sex differences in CVD risk factor prevalences were determined at each level of BMI, after adjustment for age and other demographic and socioeconomic variables. Among those with class II or III obesity (BMI ≥35 kg/m(2), 18% women and 12% men), prevalences of hypertension, diabetes, low high-density lipoprotein cholesterol level, and high C-reactive protein level approached or exceeded 40% during the fourth decade of life. While women had a higher prevalence of class III obesity (BMI ≥40 kg/m(2)) than did men (7% and 4%, respectively), within this highest BMI category there was a >50% greater relative prevalence of diabetes, hypertension, and hyperlipidemia in men versus women, while sex differences in prevalence of these CVD risk factors were ≈20% or less at other BMI levels. CONCLUSIONS Elevated BMI is common in Hispanic/Latino adults and is associated with a considerable excess of CVD risk factors. At the highest BMI levels, CVD risk factors often emerge in the earliest decades of adulthood and they affect men more often than women.
Collapse
Affiliation(s)
- Robert C. Kaplan
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNY
| | - M. Larissa Avilés‐Santa
- Division of Cardiovascular SciencesNational Heart, Lung and Blood InstituteNational Institutes of HealthBethesdaMD
| | - Christina M. Parrinello
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNY
- Department of Epidemiology and the Welch Center for PreventionEpidemiology and Clinical ResearchJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | - David B. Hanna
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNY
| | - Molly Jung
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNY
| | | | - Arlene L. Hankinson
- Department of Preventive MedicineFeinberg School of MedicineNorthwestern UniversityChicagoIL
| | - Carmen R. Isasi
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNY
| | | | - Ryung S. Kim
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNY
| | - Martha L. Daviglus
- Institute for Minority Health ResearchUniversity of Illinois‐ChicagoMiamiFL
| | | | | | - Jianwen Cai
- Collaborative Studies Coordinating CenterDepartment of BiostatisticsGillings School of Global Public HealthUniversity of North CarolinaChapel HillNC
| |
Collapse
|
286
|
Flynn MA, Carreón T, Eggerth DE, Johnson AI. Immigration, Work, and Health: A Literature Review of Immigration Between Mexico and the United States. REVISTA DE TRABAJO SOCIAL 2014; 6:129-149. [PMID: 28260831 PMCID: PMC5334002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Understanding the influence someone's job or career has on their health goes beyond the physical, emotional and social hazards, risks and conditions that they face at work. One's job or career also exerts a significant influence over other aspects of life that contribute or detract from their health and that of their family. Work is the major incentive for Latin American migration to the United States. Latino immigrants experience increasingly poorer outcomes for physical health and chronic diseases the longer they remain in the U.S. The strong link between work and immigration suggests that, for many Latin Americans, immigration can be understood as a career path which puts them, and their family members, in situations that can change their physical, emotional, and social health as a condition of their employment. Given the large number of Latin Americans who emigrate for work, it is essential that the unique physical, mental and social impacts of emigration are accounted for when working with clients impacted by emigration at the individual, family and community level as well as those social workers practicing at the system level. This paper is a literature review that explores the impact that emigrating for work has on the health of those that emigrate and their family members that stay behind.
Collapse
Affiliation(s)
- Michael A Flynn
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
| | - Tania Carreón
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
| | - Donald E Eggerth
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
| | - Antoinette I Johnson
- Centers for Disease Control and Prevention National Institute for Occupational Safety and Health
| |
Collapse
|