1
|
Elmagarmid KA, Fadlalla M, Jose J, Arredouani A, Bensmail H. Investigation of the risk factors associated with prediabetes in normal-weight Qatari adults: a cross-sectional study. Sci Rep 2024; 14:23116. [PMID: 39367088 PMCID: PMC11452400 DOI: 10.1038/s41598-024-73476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 09/17/2024] [Indexed: 10/06/2024] Open
Abstract
Type 2 diabetes is one of the most prevalent chronic diseases in the world, and more people than ever before have impaired glucose tolereance, or prediabetes. Many patients with impaired glucose tolerance and undiagnosed diabetes do not know that their glucose metabolism system has been in a state of disorder. Every year, about 5-10% of prediabetics develop diabetes. One of the important achieving factors may be the increase in blood lipids. However, it is not clear whether triglyceride is associated with impaired glucose tolerance and prediabetes in the Qatari population. Therefore, we investigated the relationship between the first several clinical variables and prediabetes status in normal and overweight populations. We conducted a cross-sectional study using data from the Qatar Biobank program. The study included 5,996 participants who were adults over the age of 20. We collected information about participants' fasting blood glucose levels with other clinical measurements and used various machine learning models and logistic regression to study the association between the clinical measurements and prediabetes for normal and overobese weight groups. The use of several machine learning models showed that, after adjusting the potential confounding factors such as age and sex, Triglyceride has been demonstrated to be positively correlated with prediabetes, and there was a special population dependence phenomenon. Among them, nonobese people (p < 0.05). The effect value and 95% confidence interval and OR of triglyceride on prediabetes was 2.79 and (e0.78, e1.28), respectively.
Collapse
Affiliation(s)
| | - Mohamed Fadlalla
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | - Johann Jose
- Delhi Technological University, New Delhi, India
| | - Abdelilah Arredouani
- Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar.
- College of Life and Health sciences, Hamad bin Khalifa University, Doha, Qatar.
| | - Halima Bensmail
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar.
| |
Collapse
|
2
|
Wang M, Meng H. Association between cardiovascular health assessed by life's essential 8 and hyperuricemia in U.S. adults: the NHANES 2009-2020. Front Endocrinol (Lausanne) 2024; 15:1445787. [PMID: 39296712 PMCID: PMC11408204 DOI: 10.3389/fendo.2024.1445787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 08/20/2024] [Indexed: 09/21/2024] Open
Abstract
Background This study presented the new Life's Essential 8 (LE8) framework for examining cardiovascular health (CVH) to analyze the potential relationship between the latter and hyperuricemia (HUA) in the U.S. population. Methods Data on individuals aged at least 20 years were collected from the National Health and Nutrition Examination Survey (NHANES) 2009-2020. Smoothed curve fitting and multivariate logistic regression analyses were then performed on a sample of 25,681 adults to explore the association between LE8 and HUA. A sensitivity analysis was conducted to examine the robustness of the research findings. Results The study found a strong negative association between LE8 and HUA, with an odds ratio (OR) of 0.71 and a 95% confidence interval (CI) from 0.69 to 0.73 after adjusting for multiple confounding factors. The sensitivity analysis further validated the robustness of this association. This analysis consistently showed negative associations across different genders, ages, races, and education levels (p < 0.05), but there were no significant relationships with marital status. The association between uric acid levels and LE8 displayed an inverted L-shaped curve, with an inflection point around 41.43. Conclusions The findings indicate a strong negative relationship between LE8 and HUA among the U.S. population, suggesting that higher scores on the LE8, which assesses CVH, were associated with reduced uric acid levels. The consistent negative association underscores the LE8 framework's potential as a valuable tool for understanding and managing HUA in CVH.
Collapse
Affiliation(s)
- Meng Wang
- Department of Computer and Simulation Technology, Faculty of Health Service, Naval Medical University, Shanghai, China
| | - Heyu Meng
- China-Japan Union Hospital of Jilin University, Changchun, China
| |
Collapse
|
3
|
Liu X, Chen TY, Gao TY, Shi KQ, Yin FQ, Yu YX, Zhang C. Pro-inflammatory diets promote the formation of hyperuricemia. Front Endocrinol (Lausanne) 2024; 15:1398917. [PMID: 38974578 PMCID: PMC11224156 DOI: 10.3389/fendo.2024.1398917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 06/07/2024] [Indexed: 07/09/2024] Open
Abstract
Background Hyperuricemia, as a very prevalent chronic metabolic disease with increasing prevalence year by year, poses a significant burden on individual patients as well as on the global health care and disease burden, and there is growing evidence that it is associated with other underlying diseases such as hypertension and cardiovascular disease. The association between hyperuricemia and dietary inflammatory index (DII) scores was investigated in this study. Methods This study enrolled 13, 040 adult subjects (aged ≥ 20 years) from the US National Health and Nutrition Survey from 2003 to 2018. The inflammatory potential of the diet was assessed by the DII score, and logistic regression was performed to evaluate the relationship between the DII score and the development of hyperuricemia; subgroup analyses were used to discuss the influence of other factors on the relationship. Results Participants in the other quartiles had an increased risk of hyperuricemia compared to those in the lowest quartile of DII scores. Stratification analyses stratified by body mass index (BMI), sex, hypertension, drinking, diabetes, education level and albumin-creatinine-ratio (ACR) revealed that the DII score was also associated with the risk of hyperuricemia (P<0.05). There was an interaction in subgroup analysis stratified by sex, age, and hypertension (P for interaction <0.05). The results showed a linear-like relationship between DII and hyperuricemia, with a relatively low risk of developing hyperuricemia at lower DII scores and an increased risk of developing hyperuricemia as DII scores increased. Conclusions This study showed that the risk of hyperuricemia increased at slightly higher DII scores (i.e., with pro-inflammatory diets), but not significantly at lower levels (i.e., with anti-inflammatory diets). The contribution of the DII score to the development of hyperuricemia increased with higher scores. The relationship between inflammatory diets and hyperuricemia requires more research on inflammation, and this study alerts the public that pro-inflammatory diets may increase the risk of developing hyperuricemia.
Collapse
Affiliation(s)
- Xin Liu
- Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Ting-Yu Chen
- West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Teng-Yu Gao
- Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Ke-Qin Shi
- Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Fu-Qiang Yin
- Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yun-Xiang Yu
- Department of Orthopedics, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chao Zhang
- Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| |
Collapse
|
4
|
Suthar H, Manea T, Pak D, Woodbury M, Eick SM, Cathey A, Watkins DJ, Strakovsky RS, Ryva BA, Pennathur S, Zeng L, Weller D, Park JS, Smith S, DeMicco E, Padula A, Fry RC, Mukherjee B, Aguiar A, Geiger SD, Ng S, Huerta-Montanez G, Vélez-Vega C, Rosario Z, Cordero JF, Zimmerman E, Woodruff TJ, Morello-Frosch R, Schantz SL, Meeker JD, Alshawabkeh AN, Aung MT. Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:8264-8277. [PMID: 38691655 PMCID: PMC11097396 DOI: 10.1021/acs.est.4c00094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 05/03/2024]
Abstract
Prenatal per- and poly-fluoroalkyl substances (PFAS) exposure may influence gestational outcomes through bioactive lipids─metabolic and inflammation pathway indicators. We estimated associations between prenatal PFAS exposure and bioactive lipids, measuring 12 serum PFAS and 50 plasma bioactive lipids in 414 pregnant women (median 17.4 weeks' gestation) from three Environmental influences on Child Health Outcomes Program cohorts. Pairwise association estimates across cohorts were obtained through linear mixed models and meta-analysis, adjusting the former for false discovery rates. Associations between the PFAS mixture and bioactive lipids were estimated using quantile g-computation. Pairwise analyses revealed bioactive lipid levels associated with PFDeA, PFNA, PFOA, and PFUdA (p < 0.05) across three enzymatic pathways (cyclooxygenase, cytochrome p450, lipoxygenase) in at least one combined cohort analysis, and PFOA and PFUdA (q < 0.2) in one linear mixed model. The strongest signature revealed doubling in PFOA corresponding with PGD2 (cyclooxygenase pathway; +24.3%, 95% CI: 7.3-43.9%) in the combined cohort. Mixture analysis revealed nine positive associations across all pathways with the PFAS mixture, the strongest signature indicating a quartile increase in the PFAS mixture associated with PGD2 (+34%, 95% CI: 8-66%), primarily driven by PFOS. Bioactive lipids emerged as prenatal PFAS exposure biomarkers, deepening insights into PFAS' influence on pregnancy outcomes.
Collapse
Affiliation(s)
- Himal Suthar
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - Tomás Manea
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - Dominic Pak
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - Megan Woodbury
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Stephanie M. Eick
- Gangarosa
Department of Environmental Health, Emory
University Rollins School of Public Health, Atlanta, Georgia 30322, United States
| | - Amber Cathey
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Deborah J. Watkins
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Rita S. Strakovsky
- Institute
for Integrative Toxicology, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Food Sciences and Human Nutrition, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Brad A. Ryva
- Institute
for Integrative Toxicology, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Pharmacology and Toxicology, Michigan
State University, East Lansing, Michigan 48824, United States
- College
of Osteopathic Medicine, Michigan State
University, East Lansing, Michigan 48824, United States
| | - Subramaniam Pennathur
- Department
of Internal Medicine-Nephrology, University
of Michigan, Ann Arbor, Michigan 48824, United States
- Department
of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Lixia Zeng
- Department
of Internal Medicine-Nephrology, University
of Michigan, Ann Arbor, Michigan 48824, United States
| | - David Weller
- NSF International, Ann Arbor, Michigan 48105, United States
| | - June-Soo Park
- Environmental Chemistry Laboratory, Department of Toxic
Substances
Control, California Environmental Protection
Agency, Berkeley, California 94710, United States
| | - Sabrina Smith
- Environmental Chemistry Laboratory, Department of Toxic
Substances
Control, California Environmental Protection
Agency, Berkeley, California 94710, United States
| | - Erin DeMicco
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
| | - Amy Padula
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
| | - Rebecca C. Fry
- Department
of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, Gillings
School of Global Public Health, Chapel Hill, North Carolina 27599, United States
| | - Bhramar Mukherjee
- Department of Biostatistics, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Andrea Aguiar
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
| | - Sarah Dee Geiger
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
- Department of Kinesiology and Community Health, University of Illinois at Urbana−Champaign, Champaign, Illinois 61801, United States
| | - Shukhan Ng
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
| | - Gredia Huerta-Montanez
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Carmen Vélez-Vega
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia 30606, United States
| | - Zaira Rosario
- University of Puerto Rico Graduate School of Public Health, San Juan, Puerto Rico 00935, United States
| | - Jose F. Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia 30606, United States
| | - Emily Zimmerman
- Department of Communication Sciences and Disorders, Northeastern University, Boston, Massachusetts 02115, United States
| | - Tracey J. Woodruff
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
| | - Rachel Morello-Frosch
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
- Department of Environmental Science, Policy and Management
and School of Public Health, University
of California, Berkeley, Berkeley, California 94720, United States
| | - Susan L. Schantz
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
| | - John D. Meeker
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Akram N. Alshawabkeh
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Max T. Aung
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - on behalf of Program Collaborators
for Environmental Influences on Child Health Outcomes
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
- Gangarosa
Department of Environmental Health, Emory
University Rollins School of Public Health, Atlanta, Georgia 30322, United States
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
- Institute
for Integrative Toxicology, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Food Sciences and Human Nutrition, Michigan
State University, East Lansing, Michigan 48824, United States
- Department
of Pharmacology and Toxicology, Michigan
State University, East Lansing, Michigan 48824, United States
- College
of Osteopathic Medicine, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Internal Medicine-Nephrology, University
of Michigan, Ann Arbor, Michigan 48824, United States
- Department
of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109, United States
- NSF International, Ann Arbor, Michigan 48105, United States
- Environmental Chemistry Laboratory, Department of Toxic
Substances
Control, California Environmental Protection
Agency, Berkeley, California 94710, United States
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
- Department
of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, Gillings
School of Global Public Health, Chapel Hill, North Carolina 27599, United States
- Department of Biostatistics, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
- Department of Kinesiology and Community Health, University of Illinois at Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia 30606, United States
- University of Puerto Rico Graduate School of Public Health, San Juan, Puerto Rico 00935, United States
- Department of Communication Sciences and Disorders, Northeastern University, Boston, Massachusetts 02115, United States
- Department of Environmental Science, Policy and Management
and School of Public Health, University
of California, Berkeley, Berkeley, California 94720, United States
| |
Collapse
|
5
|
Gutiérrez-Esparza G, Martinez-Garcia M, Ramírez-delReal T, Groves-Miralrio LE, Marquez MF, Pulido T, Amezcua-Guerra LM, Hernández-Lemus E. Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study. Nutrients 2024; 16:612. [PMID: 38474741 DOI: 10.3390/nu16050612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.
Collapse
Affiliation(s)
- Guadalupe Gutiérrez-Esparza
- Researcher for Mexico CONAHCYT, National Council of Humanities, Sciences and Technologies, Mexico City 08400, Mexico
- Clinical Research, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Mireya Martinez-Garcia
- Department of Immunology, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Tania Ramírez-delReal
- Center for Research in Geospatial Information Sciences, Aguascalientes 20313, Mexico
| | | | - Manlio F Marquez
- Department of Electrocardiology, National Institute of Cardiology 'Ignacio Chavez', Mexico City 14080, Mexico
| | - Tomás Pulido
- Cardiopulmonary Department, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Luis M Amezcua-Guerra
- Department of Immunology, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico
- Center for Complexity Sciences, Universidad Nacional Autónoma de Mexico, Mexico City 04510, Mexico
| |
Collapse
|
6
|
Huang X, Chen X, Liu Q, Zhang Z, Miao J, Lai Y, Wu J. The relationship between education attainment and gout, and the mediating role of modifiable risk factors: a Mendelian randomization study. Front Public Health 2024; 11:1269426. [PMID: 38259784 PMCID: PMC10800502 DOI: 10.3389/fpubh.2023.1269426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024] Open
Abstract
Objective To investigate the causal relationship between educational attainment (EA) and gout, as well as the potential mediating effects of individual physical status (IPS) such as body mass index (BMI) and systolic blood pressure (SBP) and lifestyle habits (LH) including alcohol intake frequency (drinking), current tobacco smoking (smoking), and time spent watching television (TV). Methods Utilizing two-sample Mendelian randomization (MR), we analyzed the causal effects of EA on gout risk, and of IPS (BMI and SBP) and LH (smoking, drinking, and TV time) on gout risk. Multivariable MR (MVMR) was employed to explore and quantify the mediating effects of IPS and LH on the causal relationship between EA and gout risk. Results An elevation of educational attainment by one standard deviation (4.2 years) exhibited a protective effect against gout (odds ratio 0.724, 95% confidence interval 0.552-0.950; p = 0.020). We did not observe a causal relationship between smoking and gout, but BMI, SBP, drinking, and TV time were found to be causal risk factors for gout. Moreover, BMI, SBP, drinking, and TV time acted as mediating factors in the causal relationship between EA and gout risk, explaining 27.17, 14.83, 51.33, and 1.10% of the causal effects, respectively. Conclusion Our study indicates that having a genetically predicted higher level of EA may provide protection against gout. We found that this relationship is influenced by IPS factors such as BMI and SBP, as well as LH including drinking and TV time.
Collapse
Affiliation(s)
- Xin Huang
- Department of Orthopedics, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian Province, China
| | - Xin Chen
- Department of Urology, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian Province, China
| | - Qixi Liu
- Department of Nursing, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian Province, China
| | - Zhiwei Zhang
- Department of Orthopedics, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian Province, China
| | - Juan Miao
- Department of Nursing, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian Province, China
| | - Yuchan Lai
- Department of Nursing, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian Province, China
| | - Jinqing Wu
- Department of Orthopedics, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian Province, China
| |
Collapse
|
7
|
Mestre Font M, Busquets-Cortés C, Ramírez-Manent JI, Tomás-Gil P, Paublini H, López-González ÁA. Influence of Sociodemographic Variables and Healthy Habits on the Values of Insulin Resistance Indicators in 386,924 Spanish Workers. Nutrients 2023; 15:5122. [PMID: 38140381 PMCID: PMC10746000 DOI: 10.3390/nu15245122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/12/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Insulin resistance (IR) is an alteration of the action of insulin in cells, which do not respond adequately to this action, leading to an increase in blood glucose levels. IR produces a very diverse clinical picture and increases the cardiometabolic risk of the population that suffers from it. Among the factors that influence IR are genetics, unhealthy lifestyle habits, overweight, and obesity. The objective of this work was to determine how different sociodemographic variables and healthy habits influence the values of different scales that assess the risk of presenting IR in a group of Spanish workers. METHODS An observational, cross-sectional, descriptive study was carried out in 386,924 workers from different Spanish regions. Different sociodemographic variables and lifestyle habits were studied (age, social class, educational level, smoking, Mediterranean diet, physical exercise) along with their association with four scales to evaluate the risk of insulin resistance (TyG index, TyG-BMI, METS-IR, TG/HDL-c). To analyse the quantitative variables, Student's t test was used, while the Chi-squared test was used for the qualitative variables. A multinomial logistic regression analysis was performed, calculating the odds ratio with its 95% confidence intervals. The accepted level of statistical significance was set at p < 0.05. RESULTS In the multivariate analysis, all variables, except educational level, increased the risk of presenting high values on the IR risk scales, especially a sedentary lifestyle and low adherence to the Mediterranean diet. CONCLUSIONS Our results demonstrate an association between the practice of regular physical exercise and a reduction in the risk of IR; a strong role of the Mediterranean diet as a protective factor for IR; an association between aging and increased IR, which has also been suggested in other studies; and, finally, a relationship between a low socioeconomic level and an increase in IR.
Collapse
Affiliation(s)
- Miguel Mestre Font
- ADEMA-Health Group, Instituto Universitario en Ciencias de la Salud, University of Balearic Islands, 07122 Palma, Spain; (M.M.F.); (C.B.-C.); (P.T.-G.); (H.P.); (Á.A.L.-G.)
| | - Carla Busquets-Cortés
- ADEMA-Health Group, Instituto Universitario en Ciencias de la Salud, University of Balearic Islands, 07122 Palma, Spain; (M.M.F.); (C.B.-C.); (P.T.-G.); (H.P.); (Á.A.L.-G.)
| | - José Ignacio Ramírez-Manent
- ADEMA-Health Group, Instituto Universitario en Ciencias de la Salud, University of Balearic Islands, 07122 Palma, Spain; (M.M.F.); (C.B.-C.); (P.T.-G.); (H.P.); (Á.A.L.-G.)
- Familiy Medicine, Balearic Islands Health Service, 07003 Palma, Spain
| | - Pilar Tomás-Gil
- ADEMA-Health Group, Instituto Universitario en Ciencias de la Salud, University of Balearic Islands, 07122 Palma, Spain; (M.M.F.); (C.B.-C.); (P.T.-G.); (H.P.); (Á.A.L.-G.)
| | - Hernán Paublini
- ADEMA-Health Group, Instituto Universitario en Ciencias de la Salud, University of Balearic Islands, 07122 Palma, Spain; (M.M.F.); (C.B.-C.); (P.T.-G.); (H.P.); (Á.A.L.-G.)
| | - Ángel Arturo López-González
- ADEMA-Health Group, Instituto Universitario en Ciencias de la Salud, University of Balearic Islands, 07122 Palma, Spain; (M.M.F.); (C.B.-C.); (P.T.-G.); (H.P.); (Á.A.L.-G.)
| |
Collapse
|
8
|
Günter T. Problem-based learning (PBL) application in 'metabolic syndrome (MetS)' among common diseases of the modern age: A case study. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2023; 51:616-626. [PMID: 37565593 DOI: 10.1002/bmb.21773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 07/06/2023] [Accepted: 07/31/2023] [Indexed: 08/12/2023]
Abstract
The present study was to teach metabolic syndrome (MetS) disease through a scenario developed according to the problem-based learning (PBL) approach in the biochemistry class. The study was designed as a single group pre-test and post-test research. The study group consisted of first-year students (N = 183) from the nursing department within the health sciences faculty of a state university in Turkey. The study findings indicated that PBL increased students' understanding and learning performances about MetS. It may be suggested that those learned by the scenario developed according to the PBL are effective in learning about the MetS.
Collapse
Affiliation(s)
- Tuğçe Günter
- Department of Medical Laboratory Techniques, Ahmet Erdogan Vocational School of Health Services, Zonguldak Bulent Ecevit University, Zonguldak, Turkey
| |
Collapse
|
9
|
López-Cuevas JA, Martínez-García M, Hernández-Lemus E, de Anda-Jáuregui G. Exploring disparities and novel insights into metabolic and cardiovascular comorbidities among COVID-19 patients in Mexico. Front Public Health 2023; 11:1270404. [PMID: 37927854 PMCID: PMC10623435 DOI: 10.3389/fpubh.2023.1270404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/27/2023] [Indexed: 11/07/2023] Open
Abstract
Introduction The COVID-19 pandemic, especially its early stages, sparked extensive discussions regarding the potential impact of metabolic and cardiovascular comorbidities on the severity and fatality of SARS-CoV-2 infection, yielding inconclusive outcomes. In this study, we delve into the prevalence of metabolic and cardiovascular comorbidities within COVID-19 patients in Mexico. Methods Employing a retrospective observational study design, we collected data from official databases encompassing COVID-19 patients admitted to both public and private hospitals in Mexico City. Results Our investigation unveiled a noteworthy incongruity in the prevalence of metabolic and cardiovascular comorbidities among COVID-19 patients, with a particular emphasis on obesity, hypertension, and diabetes. This incongruity manifests as location-dependent phenomena, where the prevalence of these comorbidities among COVID-19 patients significantly deviates from the reported values for the general population in each specific location. Discussion These findings underscore the critical importance of screening for metabolic and cardiovascular comorbidities in COVID-19 patients and advocate for the necessity of tailored interventions for this specific population. Furthermore, our study offers insights into the intricate interplay between COVID-19 and metabolic and cardiovascular comorbidities, serving as a valuable foundation for future research endeavors and informing clinical practice.
Collapse
Affiliation(s)
- Jonathan Ariel López-Cuevas
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Immunology Department, National Institute of Cardiology Ignacio Chávez, Mexico City, Mexico
| | - Mireya Martínez-García
- Immunology Department, National Institute of Cardiology Ignacio Chávez, Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Guillermo de Anda-Jáuregui
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City, Mexico
- Investigadores e Investigadoras for Mexico (formerly Cátedras Conacyt), National Council on Humanities, Science and Technology, Mexico City, Mexico
| |
Collapse
|
10
|
Shita A, Teshome H, Ayalew M, Yesuf W, Getachew D. Metabolic syndrome and its associated factors among type 2 diabetic patients in Mizan-Tepi University Teaching Hospital, Southwest Ethiopia Region. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1234674. [PMID: 37790676 PMCID: PMC10542573 DOI: 10.3389/fcdhc.2023.1234674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/17/2023] [Indexed: 10/05/2023]
Abstract
Background Patients with diabetes mellitus (DM) are prone to modifiable and non-modifiable complications, which can be grouped under metabolic syndrome (MetS). Evaluating MetS in patients with diabetes is critical for the prevention of cardiovascular disease among patients with DM. In Ethiopia, more specifically in the southwest of Ethiopia, these kinds of information are lacking. Thus, this study estimated the prevalence of metabolic syndrome among type 2 diabetic patients and its associated factors. Methods A health facility-based cross-sectional study was done from May 1 to 30, 2021. The data were collected using structured questionnaires, laboratory investigations, and anthropometric measurements. MetS was diagnosed using the modified International Diabetic Federation guidelines (IDF) and the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. The data was entered into Epidata and analyzed using SPSS software. Bivariable and multiple variable logistic regression was done to identify the factors associated with MetS. In multiple-variable logistic regression analysis, variables that have a p-value ≤ 0.05 were declared to have statistical significance. Result The majority (31.4%) of study participants were within the age group of 41-50 years and the mean ± SD of age is 51.75 ± 11.66, and 54.9% of them were men. In this study, the prevalence of MetS was 31.4% and 41.2% using the IDF and NCEP-ATP III criteria, respectively. Being a woman (AOR = 11.33, 95% CI; 3.73, 34.34; p < 0.001), having a lower level of education (AOR=7.10, 95% CI; 1.88, 26.70; p <0.004), and performing high physical activities (AOR=0.08, 95%CI; 0.01, 0.40; p <0.002) were significantly associated with MetS. Conclusion According to this study, the magnitude of Metabolic Syndrome in Mizan-Teppi University Teaching Hospital was 31.4% and 41.2% using IDF and NCEP-ATP III criteria, respectively. Being a woman and having a lower level of education increased the odds of MetS among patients with DM while performing high physical activities decreased the odds of MetS among patients with DM. Therefore, to prevent metabolic syndrome among type 2 DM patients in the study area, it is crucial to focus on women and individuals who have not had access to adequate education. One way to do this is by prioritizing interventions that involve physical activity.
Collapse
Affiliation(s)
- Abel Shita
- Department of Public Health, Mizan Aman College of Health Science, Mizan Aman, Ethiopia
| | - Habtamu Teshome
- Department of Public Health, Mizan Aman College of Health Science, Mizan Aman, Ethiopia
| | - Mulugeta Ayalew
- Department of Public Health, Mizan Aman College of Health Science, Mizan Aman, Ethiopia
| | - Wudu Yesuf
- Department of Public Health, Mizan Aman College of Health Science, Mizan Aman, Ethiopia
| | - Dawit Getachew
- Department of Public Health, School of Public Health, Mizan Tepi University College of Health Science, Mizan Aman, Ethiopia
| |
Collapse
|
11
|
Ou YJ, Lee JI, Huang SP, Chen SC, Geng JH, Su CH. Association between Menopause, Postmenopausal Hormone Therapy and Metabolic Syndrome. J Clin Med 2023; 12:4435. [PMID: 37445470 DOI: 10.3390/jcm12134435] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/17/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
(1) Background: We aimed to explore the associations between menopause, postmenopausal hormone therapy, and metabolic syndrome in a large community-based group of Asian women. (2) Methods: This is a cross-sectional study in which we enrolled women aged 30 to 70 years with sufficient information about menopausal status from the Taiwan Biobank. The definition for metabolic syndrome used in this study aligns with the Bureau of Health Promotion's (Taiwan) proposed definition. (3) Results: A total of 17,460 women were recruited. The postmenopausal group had a higher metabolic syndrome prevalence (30% vs. 14%) and 1.17 times higher odds ratio (OR) than the premenopausal group (95% confidence interval [CI] = 1.02 to 1.33). Regarding the types of menopause, surgical menopause was associated with metabolic syndrome (OR = 1.40; 95% CI = 1.20 to 1.63); however, natural menopause was not associated with metabolic syndrome. Interestingly, postmenopausal hormone therapy was associated with a lower risk of metabolic syndrome in the women with natural menopause (OR = 0.79; 95% CI = 0.70 to 0.89), but not in those with surgical menopause. (4) Conclusions: Our results suggest that menopause is associated with an increased prevalence of metabolic syndrome, while postmenopausal hormone therapy is associated with a lower prevalence of metabolic syndrome in women with natural menopause.
Collapse
Affiliation(s)
- Ying-Ju Ou
- Department of Pharmacy, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
- Department of Pharmacology, Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Jia-In Lee
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
| | - Shu-Pin Huang
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Szu-Chia Chen
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 81267, Taiwan
- Department of Internal Medicine, Division of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Jiun-Hung Geng
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Department of Urology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 81267, Taiwan
| | - Chia-Hung Su
- Department of Surgery, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 81267, Taiwan
| |
Collapse
|
12
|
Guizar-Heredia R, Noriega LG, Rivera AL, Resendis-Antonio O, Guevara-Cruz M, Torres N, Tovar AR. A New Approach to Personalized Nutrition: Postprandial Glycemic Response and its Relationship to Gut Microbiota. Arch Med Res 2023; 54:176-188. [PMID: 36990891 DOI: 10.1016/j.arcmed.2023.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/19/2023] [Accepted: 02/28/2023] [Indexed: 03/29/2023]
Abstract
A prolonged and elevated postprandial glucose response (PPGR) is now considered a main factor contributing for the development of metabolic syndrome and type 2 diabetes, which could be prevented by dietary interventions. However, dietary recommendations to prevent alterations in PPGR have not always been successful. New evidence has supported that PPGR is not only dependent of dietary factors like the content of carbohydrates, or the glycemic index of the foods, but is also dependent on genetics, body composition, gut microbiota, among others. In recent years, continuous glucose monitoring has made it possible to establish predictions on the effect of different dietary foods on PPGRs through machine learning methods, which use algorithms that integrate genetic, biochemical, physiological and gut microbiota variables for identifying associations between them and clinical variables with aim of personalize dietary recommendations. This has allowed to improve the concept of personalized nutrition, since it is now possible to recommend through these predictions specific dietary foods to prevent elevated PPGRs that are highly variable among individuals. Additional components that can enrich the predictive algorithms are findings of nutrigenomics, nutrigenetics and metabolomics. Thus, this review aims to summarize the evidence of the components that integrate personalized nutrition focused on the prevention of PPGRs, and to show the future of personalized nutrition by laying the groundwork for the development of individualized dietary management and its impact on the improvement of metabolic diseases.
Collapse
|
13
|
Anand VV, Goh RSJ, Nah B, Koh SWC, Lim J, Neo NWS, Chew J, Lee YY, Chin YH, Chong B, Kong G, Tan B, Low Z, Khoo CM, Goh LH, Loh PH, Chai P, Dalakoti M, Chan M, Foo R, Muthiah M, Chew NWS. General Public's knowledge, awareness, and perception of Cardiometabolic diseases: data from a Singapore study population. Front Med (Lausanne) 2023; 10:1193829. [PMID: 37168269 PMCID: PMC10165106 DOI: 10.3389/fmed.2023.1193829] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 04/06/2023] [Indexed: 05/13/2023] Open
Abstract
Background Health literacy and illness perception play crucial roles in tackling the cardiometabolic disease epidemic. We aim to compare the attitudes, knowledge, self-perceived risks and actions taken, between individuals with and without metabolic risk factors (MFs). Methods From 5 June to 5 October 2022, participants of the general public were invited to complete a self-administered questionnaire. MF status was defined as the presence of hypertension, hyperlipidemia, diabetes mellitus and/or current/previous smoking. Participants were assessed based on four categories (knowledge-based, attitude-based, perceived risk, and action-based) of questions pertaining to four cardiometabolic diseases - diabetes mellitus, hypertension, hyperlipidemia, and non-alcoholic fatty liver disease. Results A total of 345 participants were enrolled, of whom 34.5% had at least one MF. Compared to those without MFs, participants with MFs had lower knowledge scores, but higher perceived risk scores across all cardiometabolic diseases. The largest knowledge gap pertained to hypertension-related questions. After adjustment, linear regression demonstrated that the presence of MFs (β:2.752, 95%CI: 0.772-4.733, p = 0.007) and higher knowledge scores (β:0.418, 95%CI: 0.236-0.600, p < 0.001) were associated with higher perceived risk. Despite increased perceived risk in those with MFs, this translated to only few increased self-reported preventive actions, when compared to those without MFs, namely the reduction in red meat/processed food consumption (p = 0.045) and increase in fruits/vegetables consumption (p = 0.009). Conclusion This study identified a vulnerable subpopulation living with MFs, with high perceived risks, and discordant levels of knowledge and preventive actions taken. Nationwide efforts should be channeled into addressing the knowledge-to-action gap.
Collapse
Affiliation(s)
- Vickram Vijay Anand
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Rachel Sze Jen Goh
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Benjamin Nah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Sky Wei Chee Koh
- National University Polyclinics, National University Health System, Singapore, Singapore
- Division of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jieyu Lim
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Nicholas W. S. Neo
- Nursing Department, National University Heart Centre, Singapore, Singapore
| | - Jocelyn Chew
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Yuan Ying Lee
- Nursing Department, National University Heart Centre, Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Bryan Chong
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Gwyneth Kong
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Bryan Tan
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Zhiwen Low
- Faculty of Science, Monash University, Melbourne, VIC, Australia
| | - Chin Meng Khoo
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Department of Endocrinology, National University Hospital, Singapore, Singapore
| | - Lay Hoon Goh
- National University Polyclinics, National University Health System, Singapore, Singapore
- Division of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Poay Huan Loh
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
- Division of Cardiology, Department of Medicine, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Ping Chai
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
| | - Mayank Dalakoti
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
| | - Mark Chan
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
| | - Roger Foo
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore
| | - Nicholas W. S. Chew
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
- *Correspondence: Nicholas W. S. Chew,
| |
Collapse
|
14
|
Wen Y, Liu T, Li S, Gong R, Li C. Trends in the prevalence of metabolically healthy and unhealthy obesity in the US adult population: analysis of eight NHANES cross-sectional survey cycles, 1999-2014. BMJ Open 2022; 12:e062651. [PMID: 36450425 PMCID: PMC9716838 DOI: 10.1136/bmjopen-2022-062651] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVE To exam the time trend of the prevalence of metabolically healthy obesity (MHO) in the US adult population. DESIGN Eight cross-sectional survey cycles. SETTING National Health and Nutrition Examination Survey (NHANES), 1999-2014. PARTICIPANTS 16 459 NHANES participants aged 20 years and older. PRIMARY OUTCOME MEASURE MHO was defined as central obesity (waist circumference ≥102 cm for men and ≥88 cm for women) without any of the following conditions: elevated levels of blood pressure (≥130/85 mm Hg), glucose (≥100 mg/dL) and triglycerides (≥150 mm/dL); reduced levels of high-density lipoprotein cholesterol (<40 mg/dL for men and <50 mg/dL for women) or any medication use for high cholesterol, hypertension or diabetes. RESULTS The prevalence of central obesity significantly increased from 45.2% in 1999-2000 to 56.7% in 2013-2014 (p=0.003). Over the same period, MHO prevalence among those with central obesity only slightly and non-significantly increased from 11.0% to 15.7% (p=0.38). However, MHO prevalence among women increased significantly (p=0.04) from 7.1% to 13.7%. Female gender, a younger age, being Hispanic and non-Hispanic black and high education (some college or above) were significantly (p<0.05) associated with higher prevalence of MHO. CONCLUSIONS While the prevalence of central obesity in the US population has increased since 1999, the prevalence of MHO among those who are centrally obese remained fairly stable.
Collapse
Affiliation(s)
- Yue Wen
- Department of Gastrointestinal Surgery, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Tingting Liu
- College of Nursing, Florida State University, Tallahassee, Florida, USA
| | - Shengxu Li
- Children's Minnesota Research Institute, Tulane University School of Public Health and Tropical Medicine, Minneapolis, Minnesota, USA
| | - Renrong Gong
- Department of Surgery, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| |
Collapse
|
15
|
Kim Y, Kim YM, Shin MH, Koh SB, Chang Kim H, Kim MK. Empirically identified dietary patterns and metabolic syndrome risk in a prospective cohort study: the Cardiovascular Disease Association Study. Clin Nutr 2022; 41:2156-2162. [DOI: 10.1016/j.clnu.2022.07.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/11/2022] [Accepted: 07/29/2022] [Indexed: 11/03/2022]
|
16
|
Pérez-Castro E, Godínez-Jaimes F, Vázquez-Medina MU, Ocharan-Hernández ME, Vargas-De-León C. Derivation and validation of sex-specific continuous metabolic syndrome scores for the Mexican adult population. Sci Rep 2022; 12:9659. [PMID: 35688913 PMCID: PMC9187334 DOI: 10.1038/s41598-022-10963-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 03/31/2022] [Indexed: 11/09/2022] Open
Abstract
Traditionally the diagnosis of Metabolic syndrome (MetS) is binary (present/absent). The goal of this work is to propose a sex-specific continuous score to measure the severity of MetS in Mexican adults using waist circumference and body mass index as adiposity measures. MetSx-WC and MetSx-BMI indexes by sex were derived by confirmatory factor analysis (CFA) using data for 6567 adult participants of the National Health and Nutrition Survey 2018. The overall fit of the two proposed CFA models was excellent. We then validated these scores using a community-based health study of 862 university participants and determined that the reliability and strength of agreement between the MetSx-WC and MetSx-BMI scores were excellent. The ROC analysis of the resulting indexes indicates that they have excellent ability to discriminate a MetS classification according to the different criteria. The correlations of MetSx scores and surrogate markers of insulin resistance and obesity ranged from weak to strong. Subsequently, a retrospective study of 310 hospitalized patients with COVID-19 was used to determined that MetSx-BMI score was associated with the mortality of patients with COVID-19. The proposed indices provide a continuous measure in the identification of MetS risk in Mexican adults.
Collapse
Affiliation(s)
- Eduardo Pérez-Castro
- Maestría en Matemáticas Aplicadas, Facultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico
| | - Flaviano Godínez-Jaimes
- Maestría en Matemáticas Aplicadas, Facultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico
| | - Martín Uriel Vázquez-Medina
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City, Mexico
- Departamento de Investigación, Hospital Central Militar, Secretaria de la Defensa Nacional, Mexico City, Mexico
| | - María Esther Ocharan-Hernández
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City, Mexico
| | - Cruz Vargas-De-León
- Maestría en Matemáticas Aplicadas, Facultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City, Mexico.
- Divisón de Investigación, Hospital Juárez de México, Mexico City, Mexico.
| |
Collapse
|
17
|
Vujkovic M, Ramdas S, Lorenz KM, Guo X, Darlay R, Cordell HJ, He J, Gindin Y, Chung C, Myers RP, Schneider CV, Park J, Lee KM, Serper M, Carr RM, Kaplan DE, Haas ME, MacLean MT, Witschey WR, Zhu X, Tcheandjieu C, Kember RL, Kranzler HR, Verma A, Giri A, Klarin DM, Sun YV, Huang J, Huffman JE, Creasy KT, Hand NJ, Liu CT, Long MT, Yao J, Budoff M, Tan J, Li X, Lin HJ, Chen YDI, Taylor KD, Chang RK, Krauss RM, Vilarinho S, Brancale J, Nielsen JB, Locke AE, Jones MB, Verweij N, Baras A, Reddy KR, Neuschwander-Tetri BA, Schwimmer JB, Sanyal AJ, Chalasani N, Ryan KA, Mitchell BD, Gill D, Wells AD, Manduchi E, Saiman Y, Mahmud N, Miller DR, Reaven PD, Phillips LS, Muralidhar S, DuVall SL, Lee JS, Assimes TL, Pyarajan S, Cho K, Edwards TL, Damrauer SM, Wilson PW, Gaziano JM, O'Donnell CJ, Khera AV, Grant SFA, Brown CD, Tsao PS, Saleheen D, Lotta LA, Bastarache L, Anstee QM, Daly AK, Meigs JB, Rotter JI, Lynch JA, Rader DJ, Voight BF, Chang KM. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation. Nat Genet 2022; 54:761-771. [PMID: 35654975 PMCID: PMC10024253 DOI: 10.1038/s41588-022-01078-z] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/18/2022] [Indexed: 02/05/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a growing cause of chronic liver disease. Using a proxy NAFLD definition of chronic elevation of alanine aminotransferase (cALT) levels without other liver diseases, we performed a multiancestry genome-wide association study (GWAS) in the Million Veteran Program (MVP) including 90,408 cALT cases and 128,187 controls. Seventy-seven loci exceeded genome-wide significance, including 25 without prior NAFLD or alanine aminotransferase associations, with one additional locus identified in European American-only and two in African American-only analyses (P < 5 × 10-8). External replication in histology-defined NAFLD cohorts (7,397 cases and 56,785 controls) or radiologic imaging cohorts (n = 44,289) replicated 17 single-nucleotide polymorphisms (SNPs) (P < 6.5 × 10-4), of which 9 were new (TRIB1, PPARG, MTTP, SERPINA1, FTO, IL1RN, COBLL1, APOH and IFI30). Pleiotropy analysis showed that 61 of 77 multiancestry and all 17 replicated SNPs were jointly associated with metabolic and/or inflammatory traits, revealing a complex model of genetic architecture. Our approach integrating cALT, histology and imaging reveals new insights into genetic liability to NAFLD.
Collapse
Affiliation(s)
- Marijana Vujkovic
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Shweta Ramdas
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kim M Lorenz
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Rebecca Darlay
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Heather J Cordell
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Jing He
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Robert P Myers
- Gilead Sciences, Inc., Foster City, CA, USA
- The Liver Company, Palo Alto, CA, USA
| | - Carolin V Schneider
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Joseph Park
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kyung Min Lee
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Marina Serper
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rotonya M Carr
- Division of Gastroenterology, University of Washington, Seattle, WA, USA
| | - David E Kaplan
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Mary E Haas
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew T MacLean
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Walter R Witschey
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Xiang Zhu
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Statistics, The Pennsylvania State University, University Park, PA, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Catherine Tcheandjieu
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Rachel L Kember
- Mental Illness Research Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Henry R Kranzler
- Mental Illness Research Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Anurag Verma
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ayush Giri
- Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Derek M Klarin
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Division of Vascular Surgery, Stanford University School of Medicine, Palo Alto, CA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yan V Sun
- Atlanta VA Medical Center, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Jie Huang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | | | - Kate Townsend Creasy
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nicholas J Hand
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Michelle T Long
- Department of Medicine, Section of Gastroenterology, Boston University School of Medicine, Boston, MA, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Matthew Budoff
- Department of Cardiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jingyi Tan
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xiaohui Li
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Henry J Lin
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Ruey-Kang Chang
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Ronald M Krauss
- Departments of Pediatrics and Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Silvia Vilarinho
- Section of Digestive Diseases, Department of Internal Medicine, and Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Joseph Brancale
- Section of Digestive Diseases, Department of Internal Medicine, and Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | | | | | | | | | - Aris Baras
- Regeneron Genetics Center, Tarrytown, NY, USA
| | - K Rajender Reddy
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Jeffrey B Schwimmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Arun J Sanyal
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Naga Chalasani
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen A Ryan
- Program for Personalized and Genomic Medicine, Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Braxton D Mitchell
- Program for Personalized and Genomic Medicine, Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Andrew D Wells
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elisabetta Manduchi
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yedidya Saiman
- Department of Medicine, Section of Hepatology, Lewis Katz School of Medicine at Temple University, Temple University Hospital, Philadelphia, PA, USA
| | - Nadim Mahmud
- Department of Medicine, Division of Gastroenterology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Donald R Miller
- Center for Healthcare Organization and Implementation Research, Bedford VA Healthcare System, Bedford, MA, USA
- Center for Population Health, Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Peter D Reaven
- Phoenix VA Health Care System, Phoenix, AZ, USA
- College of Medicine, University of Arizona, Phoenix, AZ, USA
| | - Lawrence S Phillips
- Atlanta VA Medical Center, Decatur, GA, USA
- Division of Endocrinology, Emory University School of Medicine, Atlanta, GA, USA
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC, USA
| | - Scott L DuVall
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Jennifer S Lee
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Themistocles L Assimes
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Saiju Pyarajan
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kelly Cho
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Todd L Edwards
- Nashville VA Medical Center, Nashville, TN, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Scott M Damrauer
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Peter W Wilson
- Atlanta VA Medical Center, Decatur, GA, USA
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - J Michael Gaziano
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Boston, MA, USA
| | - Christopher J O'Donnell
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Amit V Khera
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Struan F A Grant
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christopher D Brown
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Danish Saleheen
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Cardiology, Columbia University Irving Medical Center, New York, NY, USA
- Center for Non-Communicable Diseases, Karachi, Sindh, Pakistan
| | | | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Quentin M Anstee
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Ann K Daly
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - James B Meigs
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Julie A Lynch
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- College of Nursing and Health Sciences, University of Massachusetts, Lowell, MA, USA
| | - Daniel J Rader
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Benjamin F Voight
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute of Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| |
Collapse
|
18
|
Gholizade M, Farhadi A, Marzban M, Mahmudpour M, Nabipour I, Kalantarhormozi M, Shafiee G, Ostovar A, Larijani B, Darabi AH, Safavi E. Association between platelet, white blood cell count, platelet to white blood cell ratio and sarcopenia in community-dwelling older adults: focus on Bushehr Elderly Health (BEH) program. BMC Geriatr 2022; 22:300. [PMID: 35395731 PMCID: PMC8991783 DOI: 10.1186/s12877-022-02954-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 03/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sarcopenia is a progressive age-related skeletal muscle disorder associated with harmful impacts on health. The present study aimed to investigate the relation between sarcopenia, platelet (PLT), white blood cell (WBC), and PLT to WBC ratio (PWR) due to the importance of early sarcopenia diagnosis. METHODS This cross-sectional study was conducted based on the second stage of the Bushehr Elderly Health (BEH) Program. Sarcopenia was defined based on the revised edition of the European Working Group on Sarcopenia in Older People (EWGSOP2) in accordance with the Iranian cut-off point. Univariate and adjusted multivariate logistic regression and linear regression were used to evaluate the associations. RESULTS The prevalence of sarcopenia among participants was 35.73%. PLT count and PWR were statistically higher in severe sarcopenic participants, while no differences were seen in WBC. In crude analysis, sarcopenia was not associated with quartiles of PLT, WBC, and PWR, while after adjusting for age, marital status, and sex, the association was seen in the fourth quartile of PLT and PWR [OR (95%CI) = 1.40 (1.08 to 1.81), p-value = 0.009 for PLT; OR (95%CI) =1.55 (1.20 to 2.00), p-value =0.001 for PWR]. This association remained significant in the fully adjusted model [OR (95%CI) =1.82 (1.20 to 2.78), p-value =0.005 for PLT; OR (95%CI) =1.57 (1.03 to 2.40), p-value =0.035 for PWR]. Among sarcopenia parameters, PLT count was more likely to be associated with handgrip strength and muscle mass. After stratifying the participants by gender, sarcopenia parameters were no longer statistically significant in men. CONCLUSION This study showed that PLT and PWR were associated with sarcopenia after considering confounding factors, while this association was not seen in WBC. Moreover, results showed that gender had an important impact on sarcopenia parameters.
Collapse
Affiliation(s)
- Mohamad Gholizade
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Akram Farhadi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.,Department of Health Education and Promotion, Faculty of Health, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Maryam Marzban
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran. .,Department of Biostatistics and Epidemiology, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran.
| | - Mehdi Mahmudpour
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Iraj Nabipour
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Mohammadreza Kalantarhormozi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.,Department of Internal Medicine, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Gita Shafiee
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Hossein Darabi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Eisa Safavi
- Department of Paraclinic, Bushehr University of Medical Sciences, Bushehr, Iran
| |
Collapse
|
19
|
Agulló V, García-Viguera C, Domínguez-Perles R. The use of alternative sweeteners (sucralose and stevia) in healthy soft-drink beverages, enhances the bioavailability of polyphenols relative to the classical caloric sucrose. Food Chem 2022; 370:131051. [PMID: 34530345 DOI: 10.1016/j.foodchem.2021.131051] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/23/2021] [Accepted: 09/01/2021] [Indexed: 12/21/2022]
Abstract
The comparison of non-caloric sweeteners (stevia and sucralose) and sucrose, on the plasma concentration and cumulative effects of phenolic compounds, was achieved. A long-term intervention, consisting of the daily intake of 330 mL of healthy citrus-maqui soft drinks, for 60 days, by 138 healthy overweight adults, was followed. A total of 24 bioavailable metabolites derived from caffeic acid, 3,4-di-hydroxyphenylacetic acid, eriodictyol, homoeriodictyol, hippuric acid, naringenin, 2,4,6-tri-hydroxybenzaldehyde, and vanillic acid were detected in peripheral blood plasma. A similar augment of bioactive compounds in plasma concentrations were found for the three beverages, in the range 12.3% (day 0)- 85.3% (day 60), depending on the analyte considered. Due to this, the present study highlights sucralose and stevia as valuable alternatives to sucrose, providing and non-significantly different plasma concentration and cumulative effect in the plasma, thus contributing to prevent a diversity of metabolic disorders and health constraints.
Collapse
Affiliation(s)
- Vicente Agulló
- Phytochemistry and Healthy Foods Lab. (LabFAS) Department of Food Science and Technology, (CEBAS-CSIC), University Campus of Espinardo, Edif. 25, 30100 Murcia, Spain
| | - Cristina García-Viguera
- Phytochemistry and Healthy Foods Lab. (LabFAS) Department of Food Science and Technology, (CEBAS-CSIC), University Campus of Espinardo, Edif. 25, 30100 Murcia, Spain.
| | - Raúl Domínguez-Perles
- Phytochemistry and Healthy Foods Lab. (LabFAS) Department of Food Science and Technology, (CEBAS-CSIC), University Campus of Espinardo, Edif. 25, 30100 Murcia, Spain
| |
Collapse
|
20
|
Barajas-Martínez A, Ibarra-Coronado E, Fossion R, Toledo-Roy JC, Martínez-Garcés V, López-Rivera JA, Tello-Santoyo G, Lavin RD, Gómez JL, Stephens CR, Aguilar-Salinas CA, Estañol B, Torres N, Tovar AR, Resendis-Antonio O, Hiriart M, Frank A, Rivera AL. Sex Differences in the Physiological Network of Healthy Young Subjects. Front Physiol 2021; 12:678507. [PMID: 34045977 PMCID: PMC8144508 DOI: 10.3389/fphys.2021.678507] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 04/12/2021] [Indexed: 01/21/2023] Open
Abstract
Within human physiology, systemic interactions couple physiological variables to maintain homeostasis. These interactions change according to health status and are modified by factors such as age and sex. For several physiological processes, sex-based distinctions in normal physiology are present and defined in isolation. However, new methodologies are indispensable to analyze system-wide properties and interactions with the objective of exploring differences between sexes. Here we propose a new method to construct complex inferential networks from a normalization using the clinical criteria for health of physiological variables, and the correlations between anthropometric and blood tests biomarkers of 198 healthy young participants (117 women, 81 men, from 18 to 27 years old). Physiological networks of men have less correlations, displayed higher modularity, higher small-world index, but were more vulnerable to directed attacks, whereas networks of women were more resilient. The networks of both men and women displayed sex-specific connections that are consistent with the literature. Additionally, we carried out a time-series study on heart rate variability (HRV) using Physionet's Fantasia database. Autocorrelation of HRV, variance, and Poincare's plots, as a measure of variability, are statistically significant higher in young men and statistically significant different from young women. These differences are attenuated in older men and women, that have similar HRV distributions. The network approach revealed differences in the association of variables related to glucose homeostasis, nitrogen balance, kidney function, and fat depots. The clusters of physiological variables and their roles within the network remained similar regardless of sex. Both methodologies show a higher number of associations between variables in the physiological system of women, implying redundant mechanisms of control and simultaneously showing that these systems display less variability in time than those of men, constituting a more resilient system.
Collapse
Affiliation(s)
- Antonio Barajas-Martínez
- Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Elizabeth Ibarra-Coronado
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Ruben Fossion
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Juan Claudio Toledo-Roy
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Vania Martínez-Garcés
- Plan de Estudios Combinados en Medicina (PECEM-MD/PhD), Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Juan Antonio López-Rivera
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Rusland D Lavin
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - José Luis Gómez
- Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Christopher R Stephens
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Bruno Estañol
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán", Mexico City, Mexico
| | - Nimbe Torres
- Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán", Mexico City, Mexico
| | - Armando R Tovar
- Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán", Mexico City, Mexico
| | - Osbaldo Resendis-Antonio
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto Nacional de Medicina Genómica, Coordinación de la Investigación Científica-Red de Apoyo a la Investigación, UNAM, Mexico City, Mexico
| | - Marcia Hiriart
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Fisiología Celular, Mexico City, Mexico
| | - Alejandro Frank
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico.,El Colegio Nacional, Mexico City, Mexico
| | - Ana Leonor Rivera
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| |
Collapse
|
21
|
Zhao Y, Zhang P, Lee JT, Oldenburg B, van Heusden A, Haregu TN, Wang H. The Prevalence of Metabolic Disease Multimorbidity and Its Associations With Spending and Health Outcomes in Middle-Aged and Elderly Chinese Adults. Front Public Health 2021; 9:658706. [PMID: 34012951 PMCID: PMC8126686 DOI: 10.3389/fpubh.2021.658706] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/31/2021] [Indexed: 12/28/2022] Open
Abstract
Objective: Metabolic diseases have been a clinical challenge worldwide and a major public health issue. Very few studies from China investigated the impact of metabolic multimorbidity on healthcare and health outcomes at the national level. This study aims to examine the association of metabolic multimorbidity with health service utilization, spending, functional and mental health. Materials and Methods: This is a nationally representative cross-sectional study, utilizing the data from the China Health and Retirement Longitudinal Study in 2015, including 11,377 participants aged 45 years and older. Multivariable regression models were used to assess the association of metabolic multimorbidity with healthcare, out-of-pocket expenditure (OOPE), the activities of daily living (ADL) limitation, the instrumental activities of daily living (IADL) limitation, and depression. Results: Overall, 30.50% of total participants had metabolic multimorbidity in 2015 in China. Compared with single disease, metabolic multimorbidity were associated with the number of outpatient visits [incident rate ratio (IRR) = 1.30, 95% CI = 1.05, 1.62] and days of inpatient care (IRR = 1.52, 95% CI = 1.28, 1.81). Metabolic multimorbidity was positively associated with the OOPE on outpatient care (coefficient = 82.99, 95% CI = 17.70, 148.27) and physical functional difficulties, including ADL limitation (odds ratio = 1.36, 95% CI = 1.18, 1.57). Conclusions: Metabolic multimorbidity is associated with higher levels of health-care service use, greater expenditure for outpatient care, and more difficulties in ADL among Chinese adults. China's health-care systems need to shift from single-disease models to new financing and service delivery models to effectively manage metabolic multimorbidity.
Collapse
Affiliation(s)
- Yang Zhao
- Stroke and Women and Children Health Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China.,Non-communicable Disease Unit, The Nossal Institute for Global Health, The University of Melbourne, Melbourne, VIC, Australia.,WHO Collaborating Centre on Implementation Research for Prevention and Control of Non-communicable Diseases, The University of Melbourne, Melbourne, VIC, Australia
| | - Puhong Zhang
- Stroke and Women and Children Health Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China.,Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - John Tayu Lee
- Non-communicable Disease Unit, The Nossal Institute for Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Brian Oldenburg
- Non-communicable Disease Unit, The Nossal Institute for Global Health, The University of Melbourne, Melbourne, VIC, Australia.,WHO Collaborating Centre on Implementation Research for Prevention and Control of Non-communicable Diseases, The University of Melbourne, Melbourne, VIC, Australia
| | - Alexander van Heusden
- Non-communicable Disease Unit, The Nossal Institute for Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Tilahun Nigatu Haregu
- Non-communicable Disease Unit, The Nossal Institute for Global Health, The University of Melbourne, Melbourne, VIC, Australia.,WHO Collaborating Centre on Implementation Research for Prevention and Control of Non-communicable Diseases, The University of Melbourne, Melbourne, VIC, Australia
| | - Haipeng Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,NHC Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| |
Collapse
|
22
|
Beverages Based on Second Quality Citrus Fruits and Maqui Berry, a Source of Bioactive (Poly)phenols: Sorting Out Urine Metabolites upon a Longitudinal Study. Nutrients 2021; 13:nu13020312. [PMID: 33499139 PMCID: PMC7910882 DOI: 10.3390/nu13020312] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/14/2021] [Accepted: 01/19/2021] [Indexed: 12/12/2022] Open
Abstract
The intake of sugar-sweetened beverages has been associated with an augmented prevalence of metabolic diseases, namely, obesity, type II diabetes, and metabolic syndrome. On the other hand, nowadays, it is broadly accepted that foods and beverages rich in (poly)phenols could contribute to reducing the incidence of these pathologies. In this sense, the objective of the work was to revalue second quality citrus fruits for the development of new beverages, rich in anthocyanins and flavanones (maqui berry and second qualities citrus-based), and evaluate the influence of alternative sweeteners (sucralose, sucrose, or stevia), regarding the bioaccessibility and bioavailability of these bioactive compounds in the frame of a chronic (longitudinal) intervention. To fulfill this objective, a longitudinal study of the urinary excretion of anthocyanins and flavanones, after 2-months of ingestion of the developed maqui-citrus beverage, by 138 volunteers (n = 46 per beverage) and the analysis of the resulting phenolic metabolites by ultra-high performance liquid chromatography coupled to mass spectrometry (UHPLC-ESI-QqQ-MS/MS) was carried out. As major results, the bioavailable metabolites of caffeic acid (CA), catechol (CAT), 3,4-di-hydroxyphenylacetic acid (DHPAA), eriodictyol (E), homoeriodictyol (HE), hippuric acid (HA), naringenin (N), trans-ferulic acid (TFA), 2,4,6-tri-hydroxybenzaldehyde (THBA), trans-isoferulic acid (TIFA), and vanillic acid (VA) were detected. Accordingly, significantly different bioavailability was dependent on the sweetener used, allowing proposing stevia and, to a lower extent, sucralose, as valuable alternatives to sucrose.
Collapse
|
23
|
Barajas-Martínez A, Easton JF, Rivera AL, Martínez-Tapia R, de la Cruz L, Robles-Cabrera A, Stephens CR. Metabolic Physiological Networks: The Impact of Age. Front Physiol 2020; 11:587994. [PMID: 33117199 PMCID: PMC7577192 DOI: 10.3389/fphys.2020.587994] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 09/14/2020] [Indexed: 11/13/2022] Open
Abstract
Metabolic homeostasis emerges from the interplay between several feedback systems that regulate the physiological variables related to energy expenditure and energy availability, maintaining them within a certain range. Although it is well known how each individual physiological system functions, there is little research focused on how the integration and adjustment of multiple systems results in the generation of metabolic health. The aim here was to generate an integrative model of metabolism, seen as a physiological network, and study how it changes across the human lifespan. We used data from a transverse, community-based study of an ethnically and educationally diverse sample of 2572 adults. Each participant answered an extensive questionnaire and underwent anthropometric measurements (height, weight, and waist), fasting blood tests (glucose, HbA1c, basal insulin, cholesterol HDL, LDL, triglycerides, uric acid, urea, and creatinine), along with vital signs (axillar temperature, systolic, and diastolic blood pressure). The sample was divided into 6 groups of increasing age, beginning with less than 25 years and increasing by decades up to more than 65 years. In order to model metabolic homeostasis as a network, we used these 15 physiological variables as nodes and modeled the links between them, either as a continuous association of those variables, or as a dichotomic association of their corresponding pathological states. Weight and overweight emerged as the most influential nodes in both types of networks, while high betweenness parameters, such as triglycerides, uric acid and insulin, were shown to act as gatekeepers between the affected physiological systems. As age increases, the loss of metabolic homeostasis is revealed by changes in the network’s topology that reflect changes in the system−wide interactions that, in turn, expose underlying health stages. Hence, specific structural properties of the network, such as weighted transitivity, i.e., the density of triangles in the network, can provide topological indicators of health that assess the whole state of the system. Overall, our findings show the importance of visualizing health as a network of organs and/or systems, and highlight the importance of triglycerides, insulin, uric acid and glucose as key biomarkers in the prevention of the development of metabolic disorders.
Collapse
Affiliation(s)
- Antonio Barajas-Martínez
- Department of Physiology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Jonathan F Easton
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Ana Leonor Rivera
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Ricardo Martínez-Tapia
- Department of Physiology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Lizbeth de la Cruz
- Department of Physiology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Adriana Robles-Cabrera
- Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Christopher R Stephens
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
| |
Collapse
|