Metabolic Abnormalities Are Common among South American Hispanics Subjects with Normal Weight or Excess Body Weight: The CRONICAS Cohort Study

We aimed to characterize metabolic status by body mass index (BMI) status. The CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru's capital, costal urban, highly urbanized), urban and...

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Published inPloS one Vol. 10; no. 11; p. e0138968
Main Authors Benziger, Catherine P., Bernabé-Ortiz, Antonio, Gilman, Robert H., Checkley, William, Smeeth, Liam, Málaga, Germán, Miranda, J. Jaime
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 23.11.2015
Public Library of Science (PLoS)
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Abstract We aimed to characterize metabolic status by body mass index (BMI) status. The CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru's capital, costal urban, highly urbanized), urban and rural Puno (both high-altitude), and Tumbes (costal semirural). Data from the baseline study, conducted in 2010, was used. Individuals were classified by BMI as normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (≥30 kg/m2), and as metabolically healthy (0-1 metabolic abnormality) or metabolically unhealthy (≥2 abnormalities). Abnormalities included individual components of the metabolic syndrome, high-sensitivity C-reactive protein, and insulin resistance. A total of 3088 (age 55.6±12.6 years, 51.3% females) had all measurements. Of these, 890 (28.8%), 1361 (44.1%) and 837 (27.1%) were normal weight, overweight and obese, respectively. Overall, 19.0% of normal weight in contrast to 54.9% of overweight and 77.7% of obese individuals had ≥3 risk factors (p<0.001). Among normal weight individuals, 43.1% were metabolically unhealthy, and age ≥65 years, female, and highest socioeconomic groups were more likely to have this pattern. In contrast, only 16.4% of overweight and 3.9% of obese individuals were metabolically healthy and, compared to Lima, the rural and urban sites in Puno were more likely to have a metabolically healthier profile. Most Peruvians with overweight and obesity have additional risk factors for cardiovascular disease, as well as a majority of those with a healthy weight. Prevention programs aimed at individuals with a normal BMI, and those who are overweight and obese, are urgently needed, such as screening for elevated fasting cholesterol and glucose.
AbstractList ObjectiveWe aimed to characterize metabolic status by body mass index (BMI) status.MethodsThe CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru's capital, costal urban, highly urbanized), urban and rural Puno (both high-altitude), and Tumbes (costal semirural). Data from the baseline study, conducted in 2010, was used. Individuals were classified by BMI as normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (≥30 kg/m2), and as metabolically healthy (0-1 metabolic abnormality) or metabolically unhealthy (≥2 abnormalities). Abnormalities included individual components of the metabolic syndrome, high-sensitivity C-reactive protein, and insulin resistance.ResultsA total of 3088 (age 55.6±12.6 years, 51.3% females) had all measurements. Of these, 890 (28.8%), 1361 (44.1%) and 837 (27.1%) were normal weight, overweight and obese, respectively. Overall, 19.0% of normal weight in contrast to 54.9% of overweight and 77.7% of obese individuals had ≥3 risk factors (p<0.001). Among normal weight individuals, 43.1% were metabolically unhealthy, and age ≥65 years, female, and highest socioeconomic groups were more likely to have this pattern. In contrast, only 16.4% of overweight and 3.9% of obese individuals were metabolically healthy and, compared to Lima, the rural and urban sites in Puno were more likely to have a metabolically healthier profile.ConclusionsMost Peruvians with overweight and obesity have additional risk factors for cardiovascular disease, as well as a majority of those with a healthy weight. Prevention programs aimed at individuals with a normal BMI, and those who are overweight and obese, are urgently needed, such as screening for elevated fasting cholesterol and glucose.
Objective We aimed to characterize metabolic status by body mass index (BMI) status. Methods The CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru’s capital, costal urban, highly urbanized), urban and rural Puno (both high-altitude), and Tumbes (costal semirural). Data from the baseline study, conducted in 2010, was used. Individuals were classified by BMI as normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30 kg/m2), and as metabolically healthy (0–1 metabolic abnormality) or metabolically unhealthy (≥2 abnormalities). Abnormalities included individual components of the metabolic syndrome, high-sensitivity C-reactive protein, and insulin resistance. Results A total of 3088 (age 55.6±12.6 years, 51.3% females) had all measurements. Of these, 890 (28.8%), 1361 (44.1%) and 837 (27.1%) were normal weight, overweight and obese, respectively. Overall, 19.0% of normal weight in contrast to 54.9% of overweight and 77.7% of obese individuals had ≥3 risk factors (p<0.001). Among normal weight individuals, 43.1% were metabolically unhealthy, and age ≥65 years, female, and highest socioeconomic groups were more likely to have this pattern. In contrast, only 16.4% of overweight and 3.9% of obese individuals were metabolically healthy and, compared to Lima, the rural and urban sites in Puno were more likely to have a metabolically healthier profile. Conclusions Most Peruvians with overweight and obesity have additional risk factors for cardiovascular disease, as well as a majority of those with a healthy weight. Prevention programs aimed at individuals with a normal BMI, and those who are overweight and obese, are urgently needed, such as screening for elevated fasting cholesterol and glucose.
Objective We aimed to characterize metabolic status by body mass index (BMI) status. Methods The CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru’s capital, costal urban, highly urbanized), urban and rural Puno (both high-altitude), and Tumbes (costal semirural). Data from the baseline study, conducted in 2010, was used. Individuals were classified by BMI as normal weight (18.5–24.9 kg/m 2 ), overweight (25.0–29.9 kg/m 2 ), and obese (≥30 kg/m 2 ), and as metabolically healthy (0–1 metabolic abnormality) or metabolically unhealthy (≥2 abnormalities). Abnormalities included individual components of the metabolic syndrome, high-sensitivity C-reactive protein, and insulin resistance. Results A total of 3088 (age 55.6±12.6 years, 51.3% females) had all measurements. Of these, 890 (28.8%), 1361 (44.1%) and 837 (27.1%) were normal weight, overweight and obese, respectively. Overall, 19.0% of normal weight in contrast to 54.9% of overweight and 77.7% of obese individuals had ≥3 risk factors (p<0.001). Among normal weight individuals, 43.1% were metabolically unhealthy, and age ≥65 years, female, and highest socioeconomic groups were more likely to have this pattern. In contrast, only 16.4% of overweight and 3.9% of obese individuals were metabolically healthy and, compared to Lima, the rural and urban sites in Puno were more likely to have a metabolically healthier profile. Conclusions Most Peruvians with overweight and obesity have additional risk factors for cardiovascular disease, as well as a majority of those with a healthy weight. Prevention programs aimed at individuals with a normal BMI, and those who are overweight and obese, are urgently needed, such as screening for elevated fasting cholesterol and glucose.
We aimed to characterize metabolic status by body mass index (BMI) status. The CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru's capital, costal urban, highly urbanized), urban and rural Puno (both high-altitude), and Tumbes (costal semirural). Data from the baseline study, conducted in 2010, was used. Individuals were classified by BMI as normal weight (18.5-24.9 kg/m.sup.2 ), overweight (25.0-29.9 kg/m.sup.2 ), and obese ([greater than or equal to]30 kg/m.sup.2 ), and as metabolically healthy (0-1 metabolic abnormality) or metabolically unhealthy ([greater than or equal to]2 abnormalities). Abnormalities included individual components of the metabolic syndrome, high-sensitivity C-reactive protein, and insulin resistance. A total of 3088 (age 55.6±12.6 years, 51.3% females) had all measurements. Of these, 890 (28.8%), 1361 (44.1%) and 837 (27.1%) were normal weight, overweight and obese, respectively. Overall, 19.0% of normal weight in contrast to 54.9% of overweight and 77.7% of obese individuals had [greater than or equal to]3 risk factors (p<0.001). Among normal weight individuals, 43.1% were metabolically unhealthy, and age [greater than or equal to]65 years, female, and highest socioeconomic groups were more likely to have this pattern. In contrast, only 16.4% of overweight and 3.9% of obese individuals were metabolically healthy and, compared to Lima, the rural and urban sites in Puno were more likely to have a metabolically healthier profile. Most Peruvians with overweight and obesity have additional risk factors for cardiovascular disease, as well as a majority of those with a healthy weight. Prevention programs aimed at individuals with a normal BMI, and those who are overweight and obese, are urgently needed, such as screening for elevated fasting cholesterol and glucose.
Objective We aimed to characterize metabolic status by body mass index (BMI) status. Methods The CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru's capital, costal urban, highly urbanized), urban and rural Puno (both high-altitude), and Tumbes (costal semirural). Data from the baseline study, conducted in 2010, was used. Individuals were classified by BMI as normal weight (18.5-24.9 kg/m.sup.2 ), overweight (25.0-29.9 kg/m.sup.2 ), and obese ([greater than or equal to]30 kg/m.sup.2 ), and as metabolically healthy (0-1 metabolic abnormality) or metabolically unhealthy ([greater than or equal to]2 abnormalities). Abnormalities included individual components of the metabolic syndrome, high-sensitivity C-reactive protein, and insulin resistance. Results A total of 3088 (age 55.6±12.6 years, 51.3% females) had all measurements. Of these, 890 (28.8%), 1361 (44.1%) and 837 (27.1%) were normal weight, overweight and obese, respectively. Overall, 19.0% of normal weight in contrast to 54.9% of overweight and 77.7% of obese individuals had [greater than or equal to]3 risk factors (p<0.001). Among normal weight individuals, 43.1% were metabolically unhealthy, and age [greater than or equal to]65 years, female, and highest socioeconomic groups were more likely to have this pattern. In contrast, only 16.4% of overweight and 3.9% of obese individuals were metabolically healthy and, compared to Lima, the rural and urban sites in Puno were more likely to have a metabolically healthier profile. Conclusions Most Peruvians with overweight and obesity have additional risk factors for cardiovascular disease, as well as a majority of those with a healthy weight. Prevention programs aimed at individuals with a normal BMI, and those who are overweight and obese, are urgently needed, such as screening for elevated fasting cholesterol and glucose.
We aimed to characterize metabolic status by body mass index (BMI) status. The CRONICAS longitudinal study was performed in an age-and-sex stratified random sample of participants aged 35 years or older in four Peruvian settings: Lima (Peru's capital, costal urban, highly urbanized), urban and rural Puno (both high-altitude), and Tumbes (costal semirural). Data from the baseline study, conducted in 2010, was used. Individuals were classified by BMI as normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (≥30 kg/m2), and as metabolically healthy (0-1 metabolic abnormality) or metabolically unhealthy (≥2 abnormalities). Abnormalities included individual components of the metabolic syndrome, high-sensitivity C-reactive protein, and insulin resistance. A total of 3088 (age 55.6±12.6 years, 51.3% females) had all measurements. Of these, 890 (28.8%), 1361 (44.1%) and 837 (27.1%) were normal weight, overweight and obese, respectively. Overall, 19.0% of normal weight in contrast to 54.9% of overweight and 77.7% of obese individuals had ≥3 risk factors (p<0.001). Among normal weight individuals, 43.1% were metabolically unhealthy, and age ≥65 years, female, and highest socioeconomic groups were more likely to have this pattern. In contrast, only 16.4% of overweight and 3.9% of obese individuals were metabolically healthy and, compared to Lima, the rural and urban sites in Puno were more likely to have a metabolically healthier profile. Most Peruvians with overweight and obesity have additional risk factors for cardiovascular disease, as well as a majority of those with a healthy weight. Prevention programs aimed at individuals with a normal BMI, and those who are overweight and obese, are urgently needed, such as screening for elevated fasting cholesterol and glucose.
Audience Academic
Author Miranda, J. Jaime
Benziger, Catherine P.
Smeeth, Liam
Bernabé-Ortiz, Antonio
Málaga, Germán
Checkley, William
Gilman, Robert H.
AuthorAffiliation 6 Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
2 Division of Cardiology, University of Washington, Seattle, WA, United States of America
3 Program in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America
1 CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
University of the Balearic Islands, SPAIN
5 Division of Pulmonary and Critical Care, School of Medicine Johns Hopkins University, Baltimore, MD, United States of America
7 Facultad de Medicina “Alberto Hurtado”, Universidad Peruana Cayetano Heredia, Lima, Peru
4 Asociación Benéfica PRISMA, Lima, Peru
AuthorAffiliation_xml – name: 7 Facultad de Medicina “Alberto Hurtado”, Universidad Peruana Cayetano Heredia, Lima, Peru
– name: 1 CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
– name: 4 Asociación Benéfica PRISMA, Lima, Peru
– name: 5 Division of Pulmonary and Critical Care, School of Medicine Johns Hopkins University, Baltimore, MD, United States of America
– name: 6 Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
– name: University of the Balearic Islands, SPAIN
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/26599322$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Contributor Bernabé-Ortiz, Antonio
Málaga, Germán
Sacksteder, Katherine
García, Héctor H
Huicho, Luis
Casas, Juan P
León-Velarde, Fabiola
Gilman, Robert H
Diette, Gregory B
Davey Smith, George
Smeeth, Liam
Rivera, María
Miranda, J Jaime
Ebrahim, Shah
Checkley, William
Wise, Robert A
Montori, Víctor M
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Copyright COPYRIGHT 2015 Public Library of Science
2015 Benziger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2015 Benziger et al 2015 Benziger et al
Copyright_xml – notice: COPYRIGHT 2015 Public Library of Science
– notice: 2015 Benziger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2015 Benziger et al 2015 Benziger et al
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DocumentTitleAlternate Metabolic Abnormalities by Body Weight in South America
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Competing Interests: The authors have declared that no competing interests exist.
Membership of the CRONICAS Cohort Study group is provided in the Acknowledgments.
Conceived and designed the experiments: ABO RHG WC LS GM JJM. Performed the experiments: ABO RHG WC LS GM JJM. Analyzed the data: CPB ABO. Wrote the paper: CPB ABO JJM.
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Snippet We aimed to characterize metabolic status by body mass index (BMI) status. The CRONICAS longitudinal study was performed in an age-and-sex stratified random...
Objective We aimed to characterize metabolic status by body mass index (BMI) status. Methods The CRONICAS longitudinal study was performed in an age-and-sex...
We aimed to characterize metabolic status by body mass index (BMI) status. The CRONICAS longitudinal study was performed in an age-and-sex stratified random...
OBJECTIVEWe aimed to characterize metabolic status by body mass index (BMI) status.METHODSThe CRONICAS longitudinal study was performed in an age-and-sex...
ObjectiveWe aimed to characterize metabolic status by body mass index (BMI) status.MethodsThe CRONICAS longitudinal study was performed in an age-and-sex...
Objective We aimed to characterize metabolic status by body mass index (BMI) status. Methods The CRONICAS longitudinal study was performed in an age-and-sex...
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SubjectTerms Abnormalities
Adult
Age
Aged
Baseline studies
Behavior
Body mass
Body Mass Index
Body Size
Body Weight
C-reactive protein
Capital
Cardiovascular diseases
Cholesterol
Chronic illnesses
Cohort analysis
Cohort Studies
Correlation analysis
Demography
Exercise
Female
Females
Health aspects
Health risk assessment
Health risks
High altitude
High-altitude environments
Hispanic or Latino - statistics & numerical data
Humans
Insulin
Latin Americans
Longitudinal studies
Male
Metabolic disorders
Metabolic syndrome
Metabolic Syndrome - epidemiology
Metabolism
Middle Aged
Mortality
Multivariate Analysis
Obesity
Obesity - epidemiology
Obesity - metabolism
Overweight
Peru - epidemiology
Physiological aspects
Prevalence
Risk analysis
Risk Factors
Socio-economic aspects
Urban areas
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Title Metabolic Abnormalities Are Common among South American Hispanics Subjects with Normal Weight or Excess Body Weight: The CRONICAS Cohort Study
URI https://www.ncbi.nlm.nih.gov/pubmed/26599322
https://www.proquest.com/docview/1735663922
https://www.proquest.com/docview/1736679156
https://pubmed.ncbi.nlm.nih.gov/PMC4658165
https://doaj.org/article/f75b870876854182953327a27249576f
http://dx.doi.org/10.1371/journal.pone.0138968
Volume 10
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