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Yang G, Jiang H, Xie D, Yuan S, Wu J, Zhang J, Zhang L, Yuan J, Lin J, Chen J, Yin Y. Association of obesity with osteoporotic fracture risk in individuals with bone metabolism-related conditions: a cross sectional analysis. Front Nutr 2024; 11:1365587. [PMID: 39166135 PMCID: PMC11333327 DOI: 10.3389/fnut.2024.1365587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 07/17/2024] [Indexed: 08/22/2024] Open
Abstract
Introduction This study aimed to investigate the individual and composite associations of different indices of obesity on osteoporotic fractures at three different sites among individuals affected by conditions influencing bone metabolism. Methods Participants were included from the National Health and Nutrition Examination Survey (NHANES), a national cross-sectional survey. BMI and WC were used separately and in combination to evaluate the presence of obesity. Obesity was defined as BMI ≥ 30 kg/m2, WC ≥ 88 cm in females, and WC ≥ 102 cm in males. Associations between obesity and osteoporotic fractures were assessed using multivariable logistic regression and OR curves. Associations modified by age, sex, race, and alcohol consumption were also evaluated. Results A total of 5377 participants were included in this study. In multivariable logistic regression analyses, we found that BMI, WC, BMI defining obesity, and WC defining obesity were negatively associated with hip fracture (all p < 0.05). However, harmful associations between WC and BMI defining obesity and spine fracture were found (all p < 0.05). OR curves revealed that BMI and WC had a linear relationship with hip and spine fractures (all P for non-linearity >0.05). Further analyses showed that the highest WC quartile was harmfully associated with a higher risk of spine fractures (p < 0.05). Obese participants diagnosed by both BMI and WC were less likely to have hip fractures but more likely to have spine fractures (all P for trend <0.05). A significant interaction between age (Ref: age < 50 years) and BMI and WC was detected for hip fractures (all P for interaction <0.05). Discussion In people with conditions influencing bone metabolism, obesity diagnosed by BMI and WC was associated with a lower risk of hip fracture, while obesity diagnosed by BMI and the highest WC quartile were associated with a higher risk of spine fracture.
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Affiliation(s)
- Guijun Yang
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hejun Jiang
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Xie
- Department of Respiratory Medicine, Sanya Women and Children’s Hospital Affiliated to Hainan Medical College, Hainan Branch of Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Sanya, Hainan, China
| | - Shuhua Yuan
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinhong Wu
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Zhang
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Zhang
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiajun Yuan
- Medical Department of Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai, China
- Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Shanghai, China
| | - Jilei Lin
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai, China
- Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Shanghai, China
- Child Health Advocacy Institute, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Jiande Chen
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong Yin
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Respiratory Medicine, Sanya Women and Children’s Hospital Affiliated to Hainan Medical College, Hainan Branch of Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Sanya, Hainan, China
- Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai, China
- Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Shanghai, China
- Child Health Advocacy Institute, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
- Department of Respiratory Medicine, Linyi Maternal and Child Healthcare Hospital, Linyi Branch of Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Linyi, Shandong, China
- Shanghai Children’s Medical Center Pediatric Medical Complex (Pudong), Shanghai, China
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Aghaei M, Joukar F, Hasanipour S, Ranjbar ZA, Naghipour M, Mansour-Ghanaei F. The association between waist-to-hip ratio (WHR) with diabetes in the PERSIAN Guilan cohort study population. BMC Endocr Disord 2024; 24:113. [PMID: 39010068 PMCID: PMC11247774 DOI: 10.1186/s12902-024-01641-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 07/02/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Waist circumference (WC), or waist-to-hip ratio (WHR), potentially offers a more accurate reflection of intra-abdominal fat accumulation and could serve as a superior predictor of type 2 diabetes mellitus (T2DM) risk compared to BMI. The current study investigated the relationship between WHR and its influencing factors among diabetes patients enrolled in the Prospective Epidemiological Research Studies in Iran (PERSIAN) Guilan Cohort study (PGCS). METHOD In this cross-sectional study of 10,520 participants, 2,531 had T2DM. Waist and hip circumference, body mass index (BMI), underlying diseases, and demographical data of participants were recorded. Also, fasting blood sugar (FBS), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides (TG) were assessed. All data was analyzed using SPSS version 16; the significant level was < 0.05. RESULTS The mean age of participants was 51.52 ± 8.90 years, and 39.9% had a BMI between 25 and 30 kg/m2. The prevalence of diabetes was 24.1% (n = 2531). About 7628 (72.5%) individuals had abnormal WHR, and 2072 (19.7%) were diabetics. Among patients with diabetes, abnormal WHR was significantly associated with age over 50, female gender, higher BMI, and lower LDL (P < 0.05). CONCLUSION The study showed a higher prevalence of abnormal WHR in diabetic patients. Abnormal WHR in patients with diabetes was significantly associated with age, gender, and BMI.
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Affiliation(s)
- Masoome Aghaei
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Farahnaz Joukar
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Soheil Hasanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Zahra Abbasi Ranjbar
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mohammadreza Naghipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Fariborz Mansour-Ghanaei
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
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Amin SN, El-Akabawy G, Abuqasem MA, AL-Rawashdeh AA, Ayyad MM, Ibrahim AK, AlShawagfeih AM, Ebdah SK, AlHajri RJ, Ismail AA. Assessment of Cognitive Flexibility in Jordanian Diabetic Patients by Wisconsin Card Sorting and Trail Making Tests: Implications with Demographic, Anthropometric and Therapeutic Variables. Diabetes Metab Syndr Obes 2024; 17:2655-2670. [PMID: 38974950 PMCID: PMC11225956 DOI: 10.2147/dmso.s457799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 06/15/2024] [Indexed: 07/09/2024] Open
Abstract
Purpose Cognitive flexibility is a mental ability that aids in smoothly alternating between them tasks in the brain. Diabetes Mellitus (DM) is a, common disorder that has been associated with impairments in cognitive functions. This research is a retrospective case-control study aimed at establishing a clear relationship between cognitive flexibility and diabetes among Jordanians, considering demographic, anthropometric, and therapeutic variables. Patients and Methods The Wisconsin Card Sorting Test (WCST)-64 item and the Trail Making Test (TMT) assessed cognitive flexibility in 268 people with diabetes and healthy control. Demographic, therapeutic data were collected. We also measured waist-to-hip ratio (WHR) and body mass index (BMI). As the variables were non-normally distributed, non-parametric statistical tests were used to examine differences (Kruskal-Wallis) and correlation (Spearman) between variables. Results The patient group did worse on the WCST In contrast to the control group, patients exhibited more significant delays for both Part A and Part B of the TMT (p<0.05). Males had higher WCST conceptual level responses than females. In addition, participants with professional jobs showed less delay in TMT Part A (p<0.05). Age was positively correlated with WCST's total errors and TMT's Parts A and B (p<0.05). BMI was negatively correlated with the WCST's conceptual level of responses and positively correlated with TMT's Part B (p<0.05). In addition, urea and albumin levels were positively correlated with TMT's Part A (p<0.05). Furthermore, creatinine was positively correlated with WCST's total errors and TMT's Part A (p<0.05). Conclusion Some measures of cognitive flexibility are associated with DM status in the studied sample of Jordanians and other variables (educational levels, occupation, lifestyle, average duration of illness, and age).
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Affiliation(s)
- Shaimaa Nasr Amin
- Department of Anatomy, Physiology and Biochemistry, Faculty of Medicine, The Hashemite University, Zarqa, Jordan
- Department of Physiology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Gehan El-Akabawy
- Department of Basic Medical Sciences, College of Medicine, Ajman University, Ajman, United Arab Emirates
- Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
- Department of Anatomy and Embryology, Faculty of Medicine, Menoufia University, Menoufia, Egypt
| | - Mohammad Adel Abuqasem
- House Officer, Medical Graduates Training Program, Jordan Medical Council, Amman, Jordan
| | | | - Maram Mohamed Ayyad
- House Officer, Medical Graduates Training Program, Jordan Medical Council, Amman, Jordan
| | - Ahmad Khalid Ibrahim
- House Officer, Medical Graduates Training Program, Jordan Medical Council, Amman, Jordan
| | | | - Sara Khaled Ebdah
- House Officer, Medical Graduates Training Program, Jordan Medical Council, Amman, Jordan
| | - Rana Jassem AlHajri
- House Officer, Medical Graduates Training Program, Jordan Medical Council, Amman, Jordan
| | - Ahmed A Ismail
- Department of Public Health and Community Medicine, Faculty of Medicine, Menoufia University, Menoufia, Egypt
- Department of Health and Environment, College of Public Health, University of Iowa, Iowa, KS, USA
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Asgari S, Khalili D, Azizi F, Hadaegh F. Weight change and risk of incident type 2 diabetes: short, medium and long-term follow-up in tehran lipid and glucose study. Cardiovasc Diabetol 2024; 23:207. [PMID: 38890609 PMCID: PMC11186083 DOI: 10.1186/s12933-024-02297-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 06/05/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Despite the high burden of obesity and Type 2 diabetes (T2DM) in the Middle East/West Asia region, the effect of weight change on the development of T2DM is poorly addressed. Therefore, we aimed to assess the impact of 3-year body weight change on incident of T2DM over 3-, 6-, and 9-year periods among Iranian adults. METHODS A total of 6930 participants (men = 2567) aged ≥ 20 years free of T2DM or cancer at baseline were included. Weight measurements were taken at baseline (2002-2005) and approximately 3 years later. Participants were categorized based on their weight change ratio into ≥ 5% loss, stable (± 5%), and ≥ 5% gain. Generalized estimating equations (GEE), adjusted with age, sex, education levels, baseline measurements of fasting plasma glucose, weight, waist circumference, triglycerides to high-density lipoprotein cholesterol ratio, family history of diabetes, current smoker, hypertension, and prevalent cardiovascular disease were applied to estimate the Odds ratios (ORs) and 95% confidence intervals (CIs) of weight change categories for incident T2DM, considering stable weight as a reference. RESULTS During median follow-ups of 3-, 6-, and 9-year, 295, 505, and 748 cases of T2DM occurred, respectively. Weight gain of ≥ 5%, as compared to stable weight group (± 5%), was associated with increased T2DM risk, with ORs of 1.58 (95% CI 1.16-2.14), 1.76 (1.41-2.20), and 1.70 (1.40-2.05) for the 3-, 6-, and 9-year follow-ups, respectively, in multivariable analysis; corresponding values for weight loss ≥ 5% were 0.48 (0.29-0.80), 0.57 (0.40-0.81), and 0.51 (0.38-0.68), respectively. This association persisted even after adjusting for attained weight. Subgroup analysis showed consistent associations across age, gender, and body mass index categories. CONCLUSION Weight gain and loss of ≥ 5% were associated with increased and decreased risks of incident T2DM, respectively, regardless of attained weight. This association was consistent over various follow-up durations among the Iranian population as recommended by guidelines.
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Affiliation(s)
- Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Islamic Republic of Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Islamic Republic of Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Islamic Republic of Iran.
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Minato-Inokawa S, Honda M, Tsuboi-Kaji A, Takeuchi M, Kitaoka K, Kurata M, Wu B, Kazumi T, Fukuo K. Associations of adipose insulin resistance index with leg (gluteofemoral) fat (inverse) and serum alanine aminotransferase (positive) in young Japanese women. Metabol Open 2024; 22:100289. [PMID: 38872905 PMCID: PMC11169472 DOI: 10.1016/j.metop.2024.100289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/15/2024] Open
Abstract
Aim Associations of the adipose tissue insulin resistance index (AT-IR, a product of fasting insulin and free fatty acid) with body fat distribution and the ratio of alanine to aspartate aminotransferase (ALT/AST), a marker of hepatosteatosis, were examined in the context of the metabolic syndrome. Methods Legs, the trunk and body fat by DXA, blood pressure (BP) and blood chemistry were measured in 284 young Japanese female university students and 148 middle-aged biological mothers whose BMI averaged <23 kg/m2. Results Young women had higher leg fat/body fat and lower trunk fat/body fat ratio (both p < 0.001) compared with middle-aged women but AT-IR did not differ between the two groups. We had multivariable linear regression analysis for AT-IR as a dependent variable including leg fat/body fat ratio, trunk fat/body fat ratio, fasting glucose, triglyceride, HDL cholesterol and systolic BP as independent variables. Leg fat/body fat ratio, fasting glucose and triglyceride (p = 0.013, 0.009 and 0.016, respectively) emerged as determinants of AT-IR in young women. Trunk fat/body fat ratio and fasting glucose (p = 0.003 and 0.019, respectively) emerged in middle-aged women. In a model which included ALT/AST as an additional independent variable, ALT/AST (p = 0.016) was the fourth independent determinant in young women and the single determinant of AT-IR in middle-aged women (p < 0.001). Conclusion In young Japanese women, adipose tissue insulin resistance was associated with reduced leg fat, a subtle partial lipodystrophy-like phenotype associated with reduced adipose tissue expandability. It was associated with elevated trunk (abdominal) fat in middle-aged women and with ALT/AST, a marker of hepatosteatosis, in two groups of Japanese women, suggesting ectopic fat deposition associated with reduced adipose tissue expandability.
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Affiliation(s)
- Satomi Minato-Inokawa
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Laboratory of Community Health and Nutrition, Department of Bioscience, Graduate School of Agriculture, Ehime University, Matsuyama, Ehime, Japan
| | - Mari Honda
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Department of Health, Sports, and Nutrition, Faculty of Health and Welfare, Kobe Women's University, Kobe, Hyogo, Japan
| | - Ayaka Tsuboi-Kaji
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Department of Nutrition, Osaka City Juso Hospital, Osaka, Japan
| | - Mika Takeuchi
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
| | - Kaori Kitaoka
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Department of Advanced Epidemiology, Noncommunicable Disease (NCD) Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Miki Kurata
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Department of Food Sciences and Nutrition, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
| | - Bin Wu
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Department of Endocrinology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Tsutomu Kazumi
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Department of Medicine, Kohan Kakogawa Hospital, Kakogawa, Hyogo, Japan
| | - Keisuke Fukuo
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
- Department of Food Sciences and Nutrition, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
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Cai N, Luo W, Ding L, Chen L, Huang Y. Obesity-related indicators and tuberculosis: A Mendelian randomization study. PLoS One 2024; 19:e0297905. [PMID: 38557966 PMCID: PMC10984409 DOI: 10.1371/journal.pone.0297905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 01/15/2024] [Indexed: 04/04/2024] Open
Abstract
PURPOSE Obesity is a strong risk factor for many diseases, with controversy regarding the cause(s) of tuberculosis (TB) reflected by contradictory findings. Therefore, a larger sample population is required to determine the relationship between obesity and TB, which may further inform treatment. METHODS Obesity-related indicators and TB mutation data were obtained from a genome-wide association study database, while representative instrumental variables (IVs) were obtained by screening and merging. Causal relationships between exposure factors and outcomes were determined using two-sample Mendelian randomization (MR) analysis. Three tests were used to determine the representativeness and stability of the IVs, supported by sensitivity analysis. RESULTS Initially, 191 single nucleotide polymorphisms were designated as IVs by screening, followed by two-sample MR analysis, which revealed the causal relationship between waist circumference [odds ratio (OR): 2.13 (95% confidence interval (CI): 1.19-3.80); p = 0.011] and TB. Sensitivity analysis verified the credibility of the IVs, none of which were heterogeneous or horizontally pleiotropic. CONCLUSION The present study determined the causal effect between waist circumference and TB by two-sample MR analysis and found both to be likely to be potential risk factors.
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Affiliation(s)
- Nuannuan Cai
- Pulmonary and Critical Care Medicine, Hainan Provincial People’s Hospital, Haikou, Hainan, China
| | - Weiyan Luo
- Pulmonary and Critical Care Medicine, Hainan Provincial People’s Hospital, Haikou, Hainan, China
| | - Lili Ding
- Pulmonary and Critical Care Medicine, Hainan Provincial People’s Hospital, Haikou, Hainan, China
| | - Lijin Chen
- Pulmonary and Critical Care Medicine, Hainan Provincial People’s Hospital, Haikou, Hainan, China
| | - Yuanjiang Huang
- Infectious and Tropical Disease Dept (Tuberculosis), The Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan, China
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Gebremedhin S, Mekonene M, Hagos S, Baye K, Shikur B, Berhane A, Bekele T. Association between normal-weight obesity and cardiometabolic risk factors among adults in Addis Ababa, Ethiopia. Sci Rep 2023; 13:22772. [PMID: 38123576 PMCID: PMC10733390 DOI: 10.1038/s41598-023-49039-8] [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: 01/15/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023] Open
Abstract
The relationship between normal-weight obesity (NWO)-high percent body fat (%BF) in individuals with normal body mass index (BMI)-and cardiometabolic abnormalities has not been explored in Africa. We determined the prevalence of the NWO and evaluated its association with hypertension, elevated blood sugar and dyslipidaemia among adults in Addis Ababa, Ethiopia. A cross-sectional study was conducted among adults 18-64 years (n = 600). Blood pressure, blood glucose, lipid profile, and anthropometric measurements were completed. As a function of skinfold thickness, body density and %BF were estimated using Durnin & Womersley and Siri Equations, respectively. The relationship between the NWO and the outcomes of interest, assessed using adjusted linear and logit models. The age- and sex-standardised prevalence of NWO was 18.9% (95% confidence interval (CI) 15.8, 22.2%). Comparison between normal-weight lean (normal %BF and BMI) and normal-weight obese individuals suggested no difference in systolic blood pressure (β = 2.55; 95% CI - 0.82, 5.92); however, diastolic blood pressure (β = 3.77: 95% CI 1.37, 6.18) and odds of hypertension (adjusted odds ratio (AOR) = 2.46: 95% CI 1.18, 5.13) were significantly raised in the latter. Similarly, adults with NWO had elevated blood glucose (β = 2.30; 95% CI 1.23, 15.66) and increased odds of high blood sugar level (AOR = 1.68; 95% CI 1.05, 2.67). LDL (β = 8.73: 1.56, 15.90), triglyceride (β = 20.99: 0.78, 41.22), total cholesterol (β = 10.47: 1.44, 19.50), and Cholesterol to HDL ratio (β = 0.65: 0.27, 1.04) were also raised among adults with NWO. NWO is common among adults in Addis Ababa and is associated with cardiometabolic derangements.
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Affiliation(s)
| | - Mulugeta Mekonene
- Sport Science Academy, Wollo University, Dessie, Ethiopia
- Center for Food Science and Nutrition, Addis Ababa University, Addis Ababa, Ethiopia
| | - Seifu Hagos
- School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - Kaleab Baye
- Center for Food Science and Nutrition, Addis Ababa University, Addis Ababa, Ethiopia
| | - Bilal Shikur
- School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - Adugnaw Berhane
- School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tilahun Bekele
- Center for Food Science and Nutrition, Addis Ababa University, Addis Ababa, Ethiopia
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Surendran AK, Deepanjali S. Validating a linear regression equation using mid-upper arm circumference to predict body mass index. Clin Nutr ESPEN 2023; 57:613-616. [PMID: 37739713 DOI: 10.1016/j.clnesp.2023.08.010] [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: 07/23/2023] [Accepted: 08/08/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND Estimating body mass index (BMI) in hospitalised patients for nutritional assessment is challenging when measurement of weight and height is not feasible. The study aimed to validate a previously published regression equation to predict BMI using mid-upper arm circumference (MUAC). We also evaluated the proposed global MUAC cut-off of ≤24 cm to detect undernutrition. METHODS We measured standing height, weight, and MUAC prospectively in a sample of stable patients. Agreement between calculated and predicted BMI was evaluated using Bland-Altman analysis. RESULTS We studied 201 patients; 102 (51%) were male. Median (IQR age was 42 (29-50) years. 95% limits of agreement between predicted and calculated BMI were +0.6767 to +1.712 and the bias was +1.076. MUAC ≤24 cm was 97% sensitive and 83% specific to detect undernutrition. CONCLUSION BMI derived from MUAC had poor calibration for estimating actual BMI. However, low MUAC has good discriminative accuracy to detect undernutrition.
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Affiliation(s)
| | - Surendran Deepanjali
- Department of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.
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Hadjari M, Bereksi K. Lipid Profile, Renal Function Tests and Inflammatory Markers in Algerian Type 2 Diabetic Patients. IRANIAN JOURNAL OF PUBLIC HEALTH 2023; 52:732-740. [PMID: 37551187 PMCID: PMC10404330 DOI: 10.18502/ijph.v52i4.12441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/14/2022] [Indexed: 08/09/2023]
Abstract
Background Several studies show the relationship between chronic hyperglycemia and the appearance of macroangiopathy, microangiopathy and neuropathy. The major objective of this study was to investigate the serum lipids, renal function tests and inflammatory markersin type 2 diabetes patients. Methods The study lasted eight years between Feb-2013 and Mar-2021 (Mascara, Algeria). Overall,197 patients and 197 controls were selected during general medicine examinations; enzymatic and immunoturbidimetric colorimetric methods were used to determine the serum levels offasting glycaemia, total cholesterol, highdensity lipoprotein cholesterol, triglycerides, low-density lipoprotein cholesterol, fibrinogen, urea, acid uric, albumin and creatinine, C protein reactive; the glomerular filtration rate is calculated according to the MDRD equation; the glycatedhaemoglobin levels were determined by an ion-exchange resin separation method. Results Patients had 2.44 times higher fasting glycaemia, 1.71 times higher HbA1c, 1.23 times higher body mass index, 1.30 times higher waist circumference and 1.25times higher systolic blood pressure than control subjects; the findings of the present study also indicate that a significant differences between patients and controls were observed regarding triglycerides (P=0.008), LDL-cholesterol (P=0.011), HDL-cholesterol (P=0.009), urea (P=0.013), uric acid (P=0.015), creatinine (P=0.007), glomerular filtration rate (P=0.006), albumin (P=0.018), fibrinogen (P=0.023) and C protein reactive (P=0.019). Conclusion All this metabolic disordercould facilitate the appearance of serious complications in future.
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Affiliation(s)
- Mohammed Hadjari
- Department of Biology, Faculty of Nature and Life, University of Mascara, Mascara, Algeria
| | - Karima Bereksi
- Department of Biology, Faculty of Sciences, Djilali Liabes University of Sidi-Bel-Abbès, Sidi-Bel-Abbès, Algeria
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Ortiz-Prado E, Mendieta G, Simbaña-Rivera K, Gomez-Barreno L, Landazuri S, Vasconez E, Calvopiña M, Viscor G. Genotyped indigenous Kiwcha adults at high altitude are lighter and shorter than their low altitude counterparts. J Physiol Anthropol 2022; 41:8. [PMID: 35272696 PMCID: PMC8908589 DOI: 10.1186/s40101-022-00280-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 02/24/2022] [Indexed: 11/16/2022] Open
Abstract
Background Anthropometric measures have been classically used to understand the impact of environmental factors on the living conditions of individuals and populations. Most reference studies on development and growth in which anthropometric measures were used were carried out in populations that are located at sea level, but there are few studies carried out in high altitude populations. Objective The objective of this study was to evaluate the anthropometric and body composition in autochthonous Kiwcha permanently living at low and high altitudes. Methodology A cross-sectional study of anthropometric and body composition between genetically matched lowland Kiwcha from Limoncocha (n = 117), 230 m in the Amazonian basin, and high-altitude Kiwcha from Oyacachi (n = 95), 3800 m in Andean highlands. Student’s t-test was used to analyze the differences between continuous variables, and the chi-square test was performed to check the association or independence of categorical variables. Fisher’s exact test or Spearman’s test was used when the variable had evident asymmetries with histograms prior to the selection of the test. Results This study shows that high altitude men are shorter than their counterparts who live at low altitude, with p = 0.019. About body muscle percentage, women at high altitudes have less body muscle percentage (− 24.8%). In comparison, men at high altitudes have significantly more muscle body mass percentage (+ 13.5%) than their lowland counterparts. Body fat percentage was lower among low altitude women (− 15.5%), and no differences were found among men. Conclusions This is the first study to be performed in two genotyped controlled matching populations located at different altitudes to our best knowledge. The anthropometric differences vary according to sex, demonstrating that high altitude populations are, in general, lighter and shorter than their low altitude controls. Men at high altitude have more muscled bodies compared to their lowland counterparts, but their body age was older than their actual age. Supplementary Information The online version contains supplementary material available at 10.1186/s40101-022-00280-6.
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11
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LaMonte MJ, Manson JE, Anderson GL, Baker LD, Bea JW, Eaton CB, Follis S, Hayden KM, Kooperberg C, LaCroix AZ, Limacher MC, Neuhouser ML, Odegaard A, Perez MV, Prentice RL, Reiner AP, Stefanick ML, Van Horn L, Wells GL, Whitsel EA, Rossouw JE. Contributions of the Women's Health Initiative to Cardiovascular Research: JACC State-of-the-Art Review. J Am Coll Cardiol 2022; 80:256-275. [PMID: 35835498 DOI: 10.1016/j.jacc.2022.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 11/25/2022]
Abstract
The WHI (Women's Health Initiative) enrolled 161,808 racially and ethnically diverse postmenopausal women, ages 50-79 years, from 1993 to 1998 at 40 clinical centers across the United States. In its clinical trial component, WHI evaluated 3 randomized interventions (menopausal hormone therapy; diet modification; and calcium/vitamin D supplementation) for the primary prevention of major chronic diseases, including cardiovascular disease, in older women. In the WHI observational study, numerous clinical, behavioral, and social factors have been evaluated as predictors of incident chronic disease and mortality. Although the original interventions have been completed, the WHI data and biomarker resources continue to be leveraged and expanded through ancillary studies to yield novel insights regarding cardiovascular disease prevention and healthy aging in women.
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Affiliation(s)
- Michael J LaMonte
- Department of Epidemiology and Environmental Health, University at Buffalo-SUNY, Buffalo, New York, USA.
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Garnet L Anderson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Laura D Baker
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennifer W Bea
- Department of Health Promotion Science, University of Arizona, Tucson, Arizona, USA
| | - Charles B Eaton
- Department of Family Medicine and Epidemiology, Brown University, Providence, Rhode Island, USA
| | - Shawna Follis
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, USA
| | - Kathleen M Hayden
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Andrea Z LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, California, USA
| | - Marian C Limacher
- Department of Internal Medicine, University of Florida, Gainesville, Florida, USA
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Andrew Odegaard
- Department of Epidemiology, University of California, Irvine, California, USA
| | - Marco V Perez
- Department of Medicine, Stanford University, Palo Alto, California, USA
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Marcia L Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, USA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, USA
| | - Gretchen L Wells
- Department of Medicine, University of Alabama, Birmingham, Alabama, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jacques E Rossouw
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
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12
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The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients. Int J Hypertens 2022; 2022:6842825. [PMID: 35620321 PMCID: PMC9129951 DOI: 10.1155/2022/6842825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 04/08/2022] [Accepted: 05/03/2022] [Indexed: 11/17/2022] Open
Abstract
Left ventricular hypertrophy (LVH) has been classified separately as an independent risk factor for hypertension. However, comparisons between different body size indices and left ventricular hypertrophy (LVH) in hypertensive populations have not been reported yet. In this study, we enrolled 4,639 hypertensive patients from rural China. Anthropometric indices and cardiovascular disease risk factor variables were measured and analyzed using Spearman's correlation, logistic regression, and receiver operating characteristic (ROC) curve analyses. Patients in the highest quartile of body size indices were more likely to have left ventricular hypertrophy than those in the lowest quartile; these indices were BMI (adjusted OR: 3.55, 95% CI: 2.90; 4.35), WC (adjusted OR: 2.23, 95% CI: 1.84; 2.70), WHR (adjusted OR: 1.44, 95% CI: 1.18; 1.75), and WHtR (adjusted OR: 3.23, 95% CI: 2.62; 3.99). The areas under the ROC curves of BMI (AUC: 0.628, 95% CI: 0.612; 0.644), WHtR (AUC: 0.628, 95% CI: 0.560; 0.593), WHR (AUC: 0.530, 95% CI: 0.513; 0.547), and WC (AUC: 0.576, 95% CI: 0.513; 0.547) were all above 0.5, which indicated that the four anthropometric indicators may be associated with LVH. The four anthropometric indicators of obesity were identified as risk factors for LVH. Weight control might help reduce the risk of left ventricular hypertrophy.
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13
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Tsukahara Y, Mason RA, Macznik A. Training and physiological characteristics of American and Japanese female track and field athletes. J Sports Med Phys Fitness 2022; 62:1184-1190. [PMID: 35084164 DOI: 10.23736/s0022-4707.22.13045-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Intensive training without appropriate recovery can predispose athletes to injury. Balancing these two facets-training and recovery-is crucial for keeping athletes at their highest possible performance level while lowering their risk of training-related injury. Cultural differences may also affect athletes' training and daily routines, but research investigating the effects of cultural background on female track and field athletes is lacking. METHODS In total, 49 Japanese and 28 American track and field athletes competing at the national level were included in this study. Their body composition was evaluated and Eating Attitudes Test (EAT-26) and a survey regarding training schedules, recovery practices, and performance levels were conducted. RESULTS Compared with the Japanese athletes, the American athletes had significantly higher height, weight, and body mass index measurements, although their performance levels did not differ. Japanese athletes trained for significantly longer hours both on school days and non-school days and spent significantly fewer days per week on weight training. The Japanese athletes slept, on average, for 1 hour less per day than the American athletes, and their EAT-26 scores were significantly higher than those of the American athletes (both p < 0.01). The number of days off per week was positively correlated with performance, but training hours on school days and fat mass percentage were negatively correlated with performance (p < 0.05). Further, days off per week and nationality were correlated with EAT-26 scores (both p < 0.05). CONCLUSIONS The American and Japanese athletes performed similarly, but the Japanese athletes were achieving their performance level with less sleep, longer training hours, and a higher risk of developing an eating disorder.
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Affiliation(s)
- Yuka Tsukahara
- Waseda Institute of Sport Sciences, Waseda University, Tokorozawa, Japan - .,Tokyo Women's College of Physical Education, Faculty of Physical Education, Tokyo, Japan -
| | - Rudolph A Mason
- Sports Medicine and Spine, Emory University, Atlanta, GA, USA
| | - Alexandra Macznik
- Tokyo Women's College of Physical Education, Faculty of Physical Education, Tokyo, Japan
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Zhang X, Yan W, Wang B, Wang L, Mu Y, Wang S. Association Between Some Different Obesity Anthropometric Indices and Type 2 Diabetes Mellitus in Middle-Aged and Elderly Chinese Men and Women in Beijing, China: A Cross-Sectional Study. Diabetes Metab Syndr Obes 2022; 15:1799-1807. [PMID: 35719246 PMCID: PMC9199527 DOI: 10.2147/dmso.s359657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 05/10/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Obesity can lead to the development of type 2 diabetes mellitus (T2DM). However, the predictive power of different obesity anthropometric indices (ObAIs) for T2DM varies with race and geographical area. Therefore, the study aimed to investigate the association between different ObAIs and T2DM and determine the best index for screening T2DM in middle-aged and elderly men and women in Beijing, China. METHODS A cross-sectional study was conducted in Shijingshan district (Beijing, China) from November 2011 to August 2012, involving a total of 14,558 subjects aged ≥40 years. Data on demographic information, lifestyle, history of T2DM, hypertension and dyslipidemia were collected. Body height, body weight, waist circumference (WC), hip circumference, and blood pressure were recorded. The oral glucose tolerance test or a standard meal test and blood lipid test were performed. The relationship between different ObAIs and T2DM was analyzed using multiple logistic regression. RESULTS After adjustment for age, smoking status, alcohol intake, occupation and education degree, diabetes family history, hypertension and dyslipidemia, body mass index (BMI), WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were positively associated with T2DM in both men and women. Compared with the lowest BMI, WC, WHR, and WHtR quartiles, ORs of the highest quartiles were 2.131 (95% CI: 1.465-3.099), 1.752 (95% CI: 1.270-2.417), 1.342 (95% CI: 1.072-1.678), 2.739 (95% CI: 2.293-3.271) in men and 1.837 (95% CI: 1.584-2.130), 3.122 (95% CI: 1.980-4.924), 3.781 (95% CI: 2.855-5.007), 2.379 (85% CI: 2.040-2.775), respectively, in women. The areas under ROC curve of BMI, WC, WHR, and WHtR for men were 0.584 (95% CI: 0.568-0.600), 0.509 (95% CI: 0.492-0.525), 0.501 (95% CI: 0.485-0.518), and 0.642 (95% CI: 0.627-0.658) and 0.619 (95% CI: 0.607-0.632), 0.709 (95% CI: 0.697-0.720), 0.741 (95% CI: 0.730-0.752), and 0.654 (95% CI: 0.642-0.666), respectively, for women. CONCLUSION WHtR and WHR have been found to perform better as predictors of T2DM in middle-aged and elderly Chinese men and women, respectively.
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Affiliation(s)
- Xuebing Zhang
- Department of Endocrinology, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, 100700, People’s Republic of China
| | - Wenhua Yan
- Department of Endocrinology, First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China
| | - Bing Wang
- Department of Endocrinology, Emergency General Hospital, Beijing, 100028, People’s Republic of China
| | - Lianjie Wang
- Department of Endocrinology, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, 100700, People’s Republic of China
| | - Yiming Mu
- Department of Endocrinology, First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China
| | - Shidong Wang
- Department of Endocrinology, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, 100700, People’s Republic of China
- Correspondence: Shidong Wang, Tel +86 13910965659, Email
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15
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Hajian-Tilaki K, Heidari B. Accuracy of obesity indices alone or in combination for prediction of diabetes: A novel risk score by linear combination of general and abdominal measures of obesity. CASPIAN JOURNAL OF INTERNAL MEDICINE 2022; 13:326-334. [PMID: 35919647 PMCID: PMC9301217 DOI: 10.22088/cjim.13.2.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 05/29/2021] [Accepted: 08/10/2021] [Indexed: 11/19/2022]
Abstract
Background The predictive power of obesity measures varies according to the presence of coexistent measures. The present study aimed to determine the predictive power of combinations of obesity measures for diabetes by calculation of a linear risk score. Methods Data from a population-based cross-sectional study of 994 representative samples of Iranian adults in Babol, Iran were analyzed. Measures of obesity including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), and waist to hip ratio (WHR) were calculated, and diabetes was diagnosed by fasting blood sugar >126 mg/dl or taking antidiabetic medication. Multiple logistic regression model was used to develop a logit risk score based on BMI, WC, WHtR, and WHR. The ROC analysis was applied to determine the priority of every single index and combined logit score for the prediction of diabetes. Results All four measures of general and abdominal obesity were predictors of diabetes individually in both sexes (P=0.0001). Calculation of risk score for a combination of all measures use full model improved predictive power. Adjustment for age resulted in further improvement in diagnostic power and combined novel risk score differentiated individuals with and without diabetes with an accuracy of 0.747 (95%CI: 0.690-0.808) in men and 0.789 (95%CI: 0.740, 0.837) in women. Conclusion These findings indicate that the simultaneous calculation of age-adjusted risk score for all measures provides stronger diagnostic accuracy in both sexes. This issue suggests the calculation of combined risk scores for all obesity indices especially in a population at borderline risk.
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Affiliation(s)
- Karimollah Hajian-Tilaki
- Department of Biostatistics and Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, Iran,Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Behzad Heidari
- Department of Internal Medicine, Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran
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16
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McGraw MB, Kohler LN, Shaibi GQ, Mandarino LJ, Coletta DK. A performance review of novel adiposity indices for assessing insulin resistance in a pediatric Latino population. Front Pediatr 2022; 10:1020901. [PMID: 36275055 PMCID: PMC9582658 DOI: 10.3389/fped.2022.1020901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 09/21/2022] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION Body mass index (BMI) percentile or BMI adjusted for age and sex is the most common anthropometric index to monitor and assess obesity in children. However, the ability of BMI to accurately predict insulin resistance (IR) in youth is debated. Determining the best method to noninvasively measure IR in the pediatric population is especially important due to the growing prevalence of type 2 diabetes mellitus (T2DM), which is more likely to develop in people with IR. Therefore, this study analyzed the performance of BMI against newer anthropometric indices in assessing IR in a pediatric Latino identifying sample. METHODS We studied 127 pediatric Latino participants from the Arizona Insulin Resistance (AIR) registry and performed linear regression analyses between various measures of IR and adiposity indices, including body mass index (BMI), triponderal mass index (TMI), body adiposity index (BAI), pediatric body adiposity index (pBAI), a body shape index (ABSI), abdominal volume index (AVI), waist to height ratio (WtHR) and waist to hip ratio (WHR). Log transformations of each index adjusted for age and sex and IR were used for the linear regressions. Additionally, we generated receiver operating characteristics (ROC) from logistic regressions between HOMA-IR and HOMA2IR against the same indices. RESULTS Using the homeostatic assessment of insulin resistance (HOMA-IR), HOMA2IR, the quantitative insulin-sensitivity check index (QUICKI), fasting serum insulin, and FPG/FSI to measure IR, we showed that BMI adjusted for age and sex performs similarly to many of the newer indices in our sample. The correlation coefficients for pBAI [R2: 0.27, 95% confidence interval: 0.88-1.81, p < 0.001] and BMI [R2: 0.27, 95% confidence interval: 0.92-1.92, p < 0.001] were the highest for HOMA-IR. Similarly, pBAI [R2: 0.29, 95% confidence interval: 0.88-1.72, p < 0.001] and BMI [R2: 0.29, 95% confidence interval: 0.93-1.83, p < 0.001] were the highest for HOMA2IR. A similar trend was observed with QUICKI, FSI, and FPG/FSI. ABSI had the lowest R 2 value for all measures of IR. Area under the curve (AUC) values for the receiver operating characteristics (ROC) for HOMA-IR and HOMA2IR support these conclusions. CONCLUSIONS BMI adjusted for age and sex, despite its usage and simplicity, still stacks up well against newer indices in our Latino sample. Testing these indices across larger samples is necessary to generalize these findings and translate performance to adults.
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Affiliation(s)
- Mac B McGraw
- Department of Physiology, The University of Arizona College of Medicine, Tucson, AZ, United States
| | - Lindsay N Kohler
- Center for Disparities in Diabetes, Obesity and Metabolism, The University of Arizona, Tucson, AZ, United States.,Exos, Phoenix, AZ, United States
| | - Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, Arizona State University, Phoenix, AZ, United States
| | - Lawrence J Mandarino
- Center for Disparities in Diabetes, Obesity and Metabolism, The University of Arizona, Tucson, AZ, United States.,Department of Medicine, Division of Endocrinology, The University of Arizona College of Medicine, Tucson, AZ, United States
| | - Dawn K Coletta
- Department of Physiology, The University of Arizona College of Medicine, Tucson, AZ, United States.,Center for Disparities in Diabetes, Obesity and Metabolism, The University of Arizona, Tucson, AZ, United States.,Department of Medicine, Division of Endocrinology, The University of Arizona College of Medicine, Tucson, AZ, United States
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17
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DeLacey S, Josefson JL. A Mini-Review of Pediatric Anthropometrics as Predictors of Future Insulin Resistance. Front Endocrinol (Lausanne) 2022; 13:826430. [PMID: 35185801 PMCID: PMC8848350 DOI: 10.3389/fendo.2022.826430] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/07/2022] [Indexed: 12/16/2022] Open
Abstract
The impact of rising rates of childhood obesity is far reaching. Metabolic syndrome in children is increasing, yet for most children the consequences of excess adiposity will manifest in adulthood. Excess early fat accrual is a risk factor for future insulin resistance. However, certain types of fat and patterns of fat distribution are more relevant than others to metabolic risk. Therefore, adiposity measures are important. The link between childhood obesity and future insulin resistance was initially established with body mass index (BMI), but BMI is an in imperfect measure of adiposity. It is worthwhile to evaluate other anthropometrics as they may more accurately capture metabolic risk. While measures such as waist to height ratio are established as superior screening measures in adulthood - the findings are not as robust in pediatrics. Emerging evidence suggests that alternative anthropometrics may be slightly superior to BMI in identifying those youth most at risk of developing insulin resistance, but the clinical significance of that superiority appears limited. Increasing study is needed in longitudinal and varied cohorts to identify which pediatric anthropometric best predicts adult insulin resistance. We review alternative anthropometrics as predictors of future insulin resistance and identify current gaps in knowledge and potential future directions of inquiry.
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Affiliation(s)
- Sean DeLacey
- Department of Pediatrics, Division of Endocrinology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- *Correspondence: Sean DeLacey,
| | - Jami L. Josefson
- Department of Pediatrics, Division of Endocrinology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
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18
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Wang J, Du J, Ge X, Peng W, Guo X, Li W, Huang S. Circulating Ism1 Reduces the Risk of Type 2 Diabetes but not Diabetes-Associated NAFLD. Front Endocrinol (Lausanne) 2022; 13:890332. [PMID: 35712241 PMCID: PMC9195582 DOI: 10.3389/fendo.2022.890332] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE To examine the association of serum Ism1, a new adipokine that can regulate glucose uptake, with type 2 diabetes (T2D) in a Chinese population. Considering high prevalence of Nonalcoholic Fatty Liver Disease in patients with type 2 diabetes and the regulating role of Ism1 on glucose uptake of peripheral tissues, we further explored the association between Ism1 and diabetes-associated nonalcoholic fatty liver disease. METHODS A total of 120 newly diagnosed T2D patients and 60 control subjects with normal glucose were recruited in the case-control study. Serum Ism1 concentrations were determined by ELISA. Multivariate logistic regression analysis was used to evaluate the independent association of serum Ism1 concentration with the risk of T2D. The 120 newly diagnosed T2D patients were divided into uncomplicated T2D group and diabetes-associated NAFLD group according to the FLI score. RESULTS The Ism1 level of normoglycemic controls was higher than that of T2D patients (3.91 ± 0.24 ng/ml vs 3.01 ± 0.16 ng/ml, P=0.001). Based on quartile analysis of Ism1 level, the proportion of high circulating Ism1 levels in the control group increased while T2D group decreased, and the distribution difference was statistically significant (P=0.015). Logistic regression analysis indicated that the serum Ism1 level was an independent protective factor of type 2 diabetes (OR=0.69, 95%CI: 0.54-0.89). The decrease of Ism1 level did not increase the risk of non-alcoholic fatty liver disease in diabetic patients by Binary logistic regression analysis (OR=1.08, 95% CI: 0.69-1.69). CONCLUSIONS The increase of serum Ism1 was associated with a decreased risk of diabetes, and it did not reduce the risk of non-alcoholic fatty liver disease in diabetic patients.
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Affiliation(s)
| | | | | | | | - Xirong Guo
- *Correspondence: Xirong Guo, ; Wenyi Li, ; Shan Huang,
| | - Wenyi Li
- *Correspondence: Xirong Guo, ; Wenyi Li, ; Shan Huang,
| | - Shan Huang
- *Correspondence: Xirong Guo, ; Wenyi Li, ; Shan Huang,
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U-Shaped Association between Waist-to-Hip Ratio and All-Cause Mortality in Stage 3-5 Chronic Kidney Disease Patients with Body Mass Index Paradox. J Pers Med 2021; 11:jpm11121355. [PMID: 34945829 PMCID: PMC8703404 DOI: 10.3390/jpm11121355] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 12/20/2022] Open
Abstract
The obesity paradox, referring to the association of high body mass index (BMI) with low all-cause mortality risk, is found in patients with chronic kidney disease (CKD). Central obesity is associated with metabolic syndrome and may have better prognostic value than BMI for all-cause mortality. Whether central obesity is associated with all-cause mortality in cases of obesity paradox in CKD patients remains unknown. We included 3262 patients with stage 3–5 CKD, grouped into five quintiles (Q1–5) by waist-to-hip ratio (WHR). Low WHR and BMI were associated with malnutrition and inflammation. In Cox regression, high BMI was not associated with all-cause mortality, but BMI < 22.5 kg/m2 increased the mortality risk. A U-shaped association between central obesity and all-cause mortality was found: WHR Q1, Q4, and Q5 had higher risk for all-cause mortality. The hazard ratio (95% confidence interval) of WHR Q5 and Q1 for all-cause mortality was 1.39 (1.03–1.87) and 1.53 (1.13–2.05) in male and 1.42 (1.02–1.99) and 1.28 (0.88–1.85) in female, respectively. Waist-to-height ratio and conicity index showed similar results. Low WHR or low BMI and high WHR, but not high BMI, are associated with all-cause mortality in advanced CKD.
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20
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Laddu DR, Qin F, Hedlin H, Stefanick ML, Manson JE, Zaslavsky O, Eaton C, Martin LW, Rohan T, Assimes TL. DXA Versus Clinical Measures of Adiposity as Predictors of Cardiometabolic Diseases and All-Cause Mortality in Postmenopausal Women. Mayo Clin Proc 2021; 96:2831-2842. [PMID: 34479738 PMCID: PMC8570974 DOI: 10.1016/j.mayocp.2021.04.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 04/08/2021] [Accepted: 04/27/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To investigate whether dual-energy x-ray absorptiometry (DXA) estimates of adiposity improve risk prediction for cardiometabolic diseases over traditional surrogates, body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) in older women. PATIENTS AND METHODS We analyzed up to 9744 postmenopausal women aged 50 to 79 years participating in the Women's Health Initiative who underwent a DXA scan and were free of cardiovascular disease and diabetes at baseline (October 1993 to December 1998) and followed through September 2015. Baseline BMI, WC, WHR, and DXA-derived percent total-body and trunk fat (%TrF) were incorporated into multivariable Cox proportional hazards models to estimate the risk of incident diabetes, atherosclerosis-related cardiovascular diseases (ASCVDs), heart failure, and death. Concordance probability estimates assessed the relative discriminatory value between pairs of adiposity measures. RESULTS A total of 1327 diabetes cases, 1266 atherosclerotic cardiovascular disease (ASCVD) cases, 292 heart failure cases, and 1811 deaths from any cause accrued during a median follow-up of up to 17.2 years. The largest hazard ratio observed per 1 standard deviation increase of an adiposity measure was for %TrF and diabetes (1.77; 95% CI, 1.66-1.88) followed by %TrF and broadly defined ASCVD (1.22; 95% CI, 1.15-1.30). These hazard ratios remained significant for both diabetes (1.47; 95% CI, 1.37-1.57) and ASCVD (1.22; 95% CI, 1.14-1.31) even after adjusting for the best traditional surrogate measure of adiposity, WC. Percentage of trunk fat was also the only adiposity measure to demonstrate statistically significant improved concordance probability estimates over BMI, WC, and WHR for diabetes and ASCVD (all P<0.05). CONCLUSION DXA-derived estimates of abdominal adiposity in postmenopausal women may allow for substantially improved risk prediction of diabetes over standard clinical risk models. Larger DXA studies with complete lipid biomarker profiles and clinical trials are needed before firm conclusions can be made.
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Affiliation(s)
- Deepika R Laddu
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL.
| | - FeiFei Qin
- Quantitative Sciences Unit, School of Medicine, Stanford, CA
| | - Haley Hedlin
- Quantitative Sciences Unit, School of Medicine, Stanford, CA
| | - Marcia L Stefanick
- Stanford Prevention Research Center, School of Medicine, Stanford University, Stanford, CA
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Oleg Zaslavsky
- School of Nursing, University of Washington, Seattle, WA
| | - Charles Eaton
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI; Center for Primary Care and Prevention, Kent Hospital, Pawtucket, RI; Department of Family Medicine, Brown University Alpert Medical School, Providence, RI
| | - Lisa Warsinger Martin
- Division of Cardiology, School of Medicine and Health Sciences, George Washington University, Washington, DC
| | - Thomas Rohan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Themistocles L Assimes
- Division of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA; Palo Alto VA Healthcare System, Palo Alto, CA
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21
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Muniz Carvalho C, Wendt FR, Pathak GA, Maihofer AX, Stein DJ, Sumner JA, Hemmings SM, Nievergelt CM, Koenen KC, Gelernter J, Belangero SI, Polimanti R. Disentangling sex differences in the shared genetic architecture of posttraumatic stress disorder, traumatic experiences, and social support with body size and composition. Neurobiol Stress 2021; 15:100400. [PMID: 34611531 PMCID: PMC8477211 DOI: 10.1016/j.ynstr.2021.100400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 09/04/2021] [Accepted: 09/14/2021] [Indexed: 11/03/2022] Open
Abstract
There is a well-known association of traumatic experiences and posttraumatic stress disorder (PTSD) with body size and composition, including consistent differences between sexes. However, the biology underlying these associations is unclear. To understand the genetic underpinnings of this complex relationship, we investigated genome-wide datasets informative of African and European ancestries from the Psychiatric Genomic Consortium, the UK Biobank, the GIANT Consortium, and the Million Veteran Program. We used genome-wide association statistics to estimate sex-specific genetic correlations (r g ) of traumatic experiences, social support, and PTSD with multiple anthropometric traits. After multiple testing corrections (false discovery rate, FDR q < 0.05), we observed 58 significant r g relationships in females (e.g., childhood physical abuse and body mass index, BMI r g = 0.245, p = 3.88 × 10-10) and 21 significant r g relationships in males (e.g., been involved in combat or exposed to warzone and leg fat percentage; r g = 0.405, p = 4.42 × 10-10). We performed causal inference analyses of these genetic overlaps using Mendelian randomization and latent causal variable approaches. Multiple female-specific putative causal relationships were observed linking body composition/size with PTSD (e.g., leg fat percentage→PTSD; beta = 0.319, p = 3.13 × 10-9), traumatic experiences (e.g., childhood physical abuse→waist circumference; beta = 0.055, p = 5.07 × 10-4), and childhood neglect (e.g., "someone to take you to doctor when needed as a child"→BMI; beta = -0.594, p = 1.09 × 10-5). In males, we observed putative causal effects linking anthropometric-trait genetic liabilities to traumatic experiences (e.g., BMI→childhood physical abuse; beta = 0.028, p = 8.19 × 10-3). Some of these findings were replicated in individuals of African descent although the limited sample size available did not permit us to conduct a sex-stratified analysis in this ancestry group. In conclusion, our findings provide insights regarding sex-specific causal networks linking anthropometric traits to PTSD, traumatic experiences, and social support.
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Affiliation(s)
- Carolina Muniz Carvalho
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Frank R. Wendt
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Gita A. Pathak
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Adam X. Maihofer
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Dan J. Stein
- MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Jennifer A. Sumner
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Sian M.J. Hemmings
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Caroline M. Nievergelt
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Sintia I. Belangero
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
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22
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Does Physical Activity Level Affect Homocysteine and Obesity Variables in Women with Cardiovascular Disease? MEDICAL LABORATORY JOURNAL 2021. [DOI: 10.52547/mlj.15.4.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
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23
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Rodriguez LA, Bradshaw PT, Shiboski SC, Fernandez A, Vittinghoff E, Herrington D, Ding J, Kanaya AM. Examining if the relationship between BMI and incident type 2 diabetes among middle-older aged adults varies by race/ethnicity: evidence from the Multi-Ethnic Study of Atherosclerosis (MESA). Diabet Med 2021; 38:e14377. [PMID: 32750175 PMCID: PMC7858695 DOI: 10.1111/dme.14377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 06/22/2020] [Accepted: 07/27/2020] [Indexed: 01/03/2023]
Abstract
AIMS Disparities persist on the prevalence of undiagnosed type 2 diabetes in racial/ethnic minorities in the USA. This study evaluated the association between BMI and incident type 2 diabetes risk by racial/ethnic group, to determine whether BMI and presence of type 2 diabetes risk factors may help clinicians better target type 2 diabetes screening. METHODS This prospective cohort analysis included 5659 adults free of type 2 diabetes at baseline from the Multi-Ethnic Study of Atherosclerosis (MESA), a population-based cohort (2000-2011). BMI was measured at baseline and time-updated at subsequent visits. Incident type 2 diabetes was defined as fasting glucose ≥ 7.0 mmol/l, or use of any diabetes medications. RESULTS The mean (sd) age was 62 (10) years and 42% of participants were white, 26% African American, 20% Hispanic and 12% Chinese American. During follow-up, 696 (12%) new type 2 diabetes cases were observed. In age- and sex-adjusted models, in the presence of one or more type 2 diabetes risk factors (the most common scenario), a 10% risk of incident type 2 diabetes was observed at a BMI of 21.7 kg/m2 [95% confidence interval (CI) 20.1 to 22.8] in Chinese Americans, 23.8 kg/m2 (22.7 to 24.9) in Hispanics, 24.7 kg/m2 (23.7 to 25.6) in African Americans and 26.2 kg/m2 (25.1 to 26.9) in white participants. CONCLUSIONS This study supports including BMI and presence of type 2 diabetes risk factors as action points for clinicians to prioritize which adults aged ≥ 45 years should be screened. The application of race/ethnicity-specific BMI thresholds may reduce the disparity of undiagnosed type 2 diabetes observed in minority groups.
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Affiliation(s)
- L A Rodriguez
- Department of Epidemiology & Biostatistics, San Francisco, USA
| | - P T Bradshaw
- School of Public Health, Division of Epidemiology & Biostatistics, University of California, Berkeley, Berkeley, CA, USA
| | - S C Shiboski
- Department of Epidemiology & Biostatistics, San Francisco, USA
| | | | - E Vittinghoff
- Department of Epidemiology & Biostatistics, San Francisco, USA
| | - D Herrington
- Department of Internal Medicine, Winston-Salem, NC, USA
| | - J Ding
- Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - A M Kanaya
- Department of Epidemiology & Biostatistics, San Francisco, USA
- Division of General Internal Medicine, University of California, San Francisco, San Francisco, USA
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24
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Dai H, Xiang J, Hou Y, Xuan L, Wang T, Li M, Zhao Z, Xu Y, Lu J, Chen Y, Wang W, Ning G, Bi Y, Xu M. Fat mass to fat-free mass ratio and the risk of non-alcoholic fatty liver disease and fibrosis in non-obese and obese individuals. Nutr Metab (Lond) 2021; 18:21. [PMID: 33608033 PMCID: PMC7893940 DOI: 10.1186/s12986-021-00551-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/11/2021] [Indexed: 01/04/2023] Open
Abstract
Context Body composition may explain partially why non-obese individuals still at the risk of developing non-alcoholic fatty liver disease (NAFLD). The ratio of fat mass to fat-free mass (FM/FFM) has been proposed to assess the combined effect of different body compositions. Objective We aimed to investigate the associations of FM/FFM ratio with the risk of developing NAFLD and fibrosis and to identify the potential mediators according to obesity status. Methods This cohort study comprised 3419 adults age ≥ 40 years and free of NAFLD at baseline. Body composition was measured by bioelectrical impedance analysis. NAFLD was ascertained by ultrasonography and fibrosis was assessed by non-invasive score systems. Results For each 1 standard deviation increment in FM/FFM ratio, the odds ratio for the risk of NAFLD was 1.55 (95% confidence interval [CI] 1.23–1.95) in non-obese men, 1.33 (95% CI 1.08–1.65) in obese men, 1.42 (95% CI 1.44–1.67) in non-obese women, and 1.29 (95% CI 1.12–1.50) in obese women. Similar associations were also found between FM/FFM ratio and NAFLD with fibrosis. Mediation analysis showed that insulin resistance, triglycerides, high-density lipoprotein cholesterol, white blood cells, and total cholesterol mediated the association of FM/FFM ratio with NAFLD risk in specific sex and obesity subgroups. Conclusions The FM/FFM ratio significantly associated with the NAFLD and fibrosis risk in both non-obese and obese individuals. Different factors may mediate the association between body composition and NAFLD risk according to different obesity status.
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Affiliation(s)
- Huajie Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiali Xiang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanan Hou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liping Xuan
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China. .,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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25
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Zhang FL, Ren JX, Zhang P, Jin H, Qu Y, Yu Y, Guo ZN, Yang Y. Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China. J Diabetes Res 2021; 2021:8812431. [PMID: 34056007 PMCID: PMC8147550 DOI: 10.1155/2021/8812431] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 03/21/2021] [Accepted: 04/27/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUNDS The prevalence of diabetes has increased with the increase of obesity, and finding indicators to predict diabetes risk has become an urgent need. The purpose of this study is to compare the correlation between four anthropometric indices and the prevalence of diabetes. METHODS A total of 4052 participants aged 40 years and above were selected in Dehui City, Jilin Province, using a multistage stratified whole group sampling method. Face-to-face interviews and physical examinations were conducted. Multivariate logistic analysis was used. The values of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were divided into quartiles (Q1: <25%; Q2: ~25%; Q3: ~50%; and Q4: ~75%). The median of each quartile was used for a linear trend test. RESULTS For all four body fat-measuring indices of body mass index (adjusted OR: 3.300, 95% CI: 2.370, 4.595), WC (adjusted OR: 5.131, 95% CI: 3.433, 7.669), WHR (adjusted OR: 3.327, 95% CI: 2.386, 4.638), and WHtR (adjusted OR: 5.959, 95% CI: 3.922, 9.054), patients in the highest quartile were more likely to have diabetes than those in the lowest quartile. The areas under the curve of WHtR, WC, WHR, and BMI for diabetes were 0.683, 0.669, 0.654, and 0.629, respectively. In female participants, the areas under the curve of the waist-height ratio and WC were 0.710 (95% CI: 0.679-0.741) and 0.701 (95% CI: 0.670-0.732), respectively. CONCLUSIONS The WC and WHtR were more closely related to diabetes than BMI and WHR among study participants ≥ 40 years of age, especially in females.
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Affiliation(s)
- Fu-Liang Zhang
- China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
| | - Jia-Xin Ren
- China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
| | - Peng Zhang
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Jilin Provincial Key Laboratory, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
| | - Hang Jin
- China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
| | - Yang Qu
- China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
| | - Yao Yu
- China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
| | - Zhen-Ni Guo
- China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Jilin Provincial Key Laboratory, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
| | - Yi Yang
- China National Comprehensive Stroke Center, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Clinical Trial and Research Center for Stroke, Department of Neurology, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
- Jilin Provincial Key Laboratory, The First Hospital of Jilin University, Xinmin Street No. 1, Changchun 130021, China
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Yang H, Liu C, Jin C, Yu R, Ding L, Mu L. Neck Circumference Is Associated With Hyperuricemia in Women With Polycystic Ovary Syndrome. Front Endocrinol (Lausanne) 2021; 12:712855. [PMID: 34552558 PMCID: PMC8450923 DOI: 10.3389/fendo.2021.712855] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 07/29/2021] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To evaluate the association between neck circumference (NC) and hyperuricemia in women with polycystic ovary syndrome (PCOS). METHODS This is a cross-sectional study that recruited 601 women with PCOS from January 2018 to January 2021. PCOS was diagnosed according to the Rotterdam definition. Hyperuricemia was defined as serum uric acid level of at least 357 μmol/L. RESULTS PCOS females with hyperuricemia had significantly greater values of NC, body mass index (BMI), waist circumference (WC) and hip circumference (HC). NC was positively associated with serum uric acid levels, with a standardized regression coefficient of 0.34 after adjusting for confounding factors. Furthermore, logistic regression analysis showed that NC was significantly associated with an increased risk of hyperuricemia, with an adjusted odds ratio of 1.36. The associations between NC and serum uric acid levels were more considerable in those with medium/high BMI (BMI ≥ 21.63 kg/m2), all ranges of WC or medium/high HC (HC ≥ 90 cm). The optimal cut-off point of NC in predicting hyperuricemia was 32.0 cm (Youden index = 0.48), with the sensitivity and negative predictive value of 84.81% and 92.08%, respectively. CONCLUSIONS NC was positively correlated with serum uric acid levels and the prevalence of hyperuricemia in women with PCOS. Therefore, we suggest NC as a simple, novel, and reliable anthropometric measure to be used in the routine clinical assessment of women with PCOS to screen those at high risk of hyperuricemia.
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Affiliation(s)
- Haiyan Yang
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chang Liu
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Congcong Jin
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Rong Yu
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lin Ding
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital, Jinan, China
- *Correspondence: Lin Ding, ; Liangshan Mu,
| | - Liangshan Mu
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Department of Reproductive Endocrinology, Women's Hospital and Key Laboratory of Reproductive Genetics (Ministry of Education), Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Lin Ding, ; Liangshan Mu,
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Prolonged, Controlled Daytime versus Delayed Eating Impacts Weight and Metabolism. Curr Biol 2020; 31:650-657.e3. [PMID: 33259790 DOI: 10.1016/j.cub.2020.10.092] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 09/24/2020] [Accepted: 10/29/2020] [Indexed: 12/13/2022]
Abstract
A delayed eating schedule is associated with increased risk of obesity and metabolic dysfunction in humans.1-9 However, there are no prolonged, highly controlled experimental studies testing the effects of meal timing on weight and metabolism in adults with a body mass index (BMI) of 19-27 kg/m2.10-18 Twelve healthy adults (age: 26.3 ± 3.4 years; BMI: 21.9 ± 1.7 kg/m2; 5 females) participated in a randomized crossover study in free-living conditions. Three meals and two snacks with comparable energy and macronutrient contents were provided during two, 8-week, counterbalanced conditions separated by a 2-week washout period: (1) daytime (intake limited to 0800 h-1900 h) and (2) delayed (intake limited to 1200 h-2300 h). Sleep-wake cycles and exercise levels were held constant. Weight, adiposity, energy expenditure, and circadian profiles of hormones and metabolites were assessed during four inpatient visits occurring before and after each condition. Body weight, insulin resistance (homeostatic model assessment of insulin resistance [HOMA-IR]), trunk-to-leg fat ratio, resting energy expenditure, respiratory quotient, and fasting glucose, insulin, total and high-density lipoprotein (dHDL) cholesterol, and adiponectin decreased on the daytime compared to the delayed schedule. These measures, as well as triglycerides, increased on the delayed compared to the daytime schedule (effect size range: d = 0.397-1.019). Circadian phase and amplitude of melatonin, cortisol, ghrelin, leptin, and glucose were not differentially altered by the eating schedules. Overall, an 8-week daytime eating schedule, compared to a delayed eating schedule, promotes weight loss and improvements in energy metabolism and insulin in adults with BMI 19-27 kg/m2, underscoring the efficacy and feasibility of daytime eating as a behavioral modification for real-world conditions.
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Ching YK, Chin YS, Appukutty M, Gan WY, Chan YM. Comparisons of conventional and novel anthropometric obesity indices to predict metabolic syndrome among vegetarians in Malaysia. Sci Rep 2020; 10:20861. [PMID: 33257810 PMCID: PMC7705716 DOI: 10.1038/s41598-020-78035-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 11/18/2020] [Indexed: 02/07/2023] Open
Abstract
Our study aimed to compare the ability of anthropometric obesity indices to predict MetS and to determine the sex-specific optimal cut-off values for MetS among Malaysian vegetarians. Body weight, height, waist circumference (WC), blood pressure (BP), fasting venous blood sample were collected from 273 vegetarians in Selangor and Kuala Lumpur, Malaysia. The abilities of body mass index (BMI), body fat percentage (BF%), waist to height ratio (WHtR), lipid accumulation product (LAP), visceral adiposity index (VAI), a body shape index (ABSI), and body roundness index (BRI) to identify MetS were tested using receiver operating characteristic (ROC) curve analyses. MetS was defined according to the Joint Interim Statement 2009. The ROC curve analyses show that BMI, BF%, WHtR, LAP and VAI were able to discriminate MetS in both sexes. LAP was a better predictor to predict MetS, followed by WHtR for male and female vegetarians. The suggested WHtR’s optimal cut-offs and LAP’s optimal cut-offs for MetS for male and female vegetarians were 0.541, 0.532, 41.435 and 21.743, respectively. In conclusion, LAP was a better predictor to predict MetS than other anthropometric obesity indices. However, WHtR could be an alternative obesity index in large epidemiology survey due to its convenient and cost-effective characteristics.
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Affiliation(s)
- Yuan Kei Ching
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Yit Siew Chin
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. .,Research Centre of Excellence, Nutrition and Non-Communicable Diseases, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
| | - Mahenderan Appukutty
- Programme of Sports Science, Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
| | - Wan Ying Gan
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Yoke Mun Chan
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.,Research Centre of Excellence, Nutrition and Non-Communicable Diseases, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
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Kitaoka K, Tsuboi A, Minato-Inokawa S, Honda M, Takeuchi M, Yano M, Kurata M, Wu B, Kazumi T, Fukuo K. Determinants and correlates of adipose tissue insulin resistance index in Japanese women without diabetes and obesity. BMJ Open Diabetes Res Care 2020; 8:8/1/e001686. [PMID: 32900700 PMCID: PMC7477970 DOI: 10.1136/bmjdrc-2020-001686] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 07/10/2020] [Accepted: 07/30/2020] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Determinants and correlates of a novel index of adipose tissue insulin resistance (AT-IR) (the product of fasting insulin and free fatty acid concentrations) were investigated in Japanese women without diabetes and obesity. RESEARCH DESIGN AND METHODS Cross-sectional associations of AT-IR with fat mass and distribution, and IR-related cardiometabolic variables were examined in 210 young and 148 middle-aged women whose average body mass index (BMI) was <23 kg/m2 and waist was <80 cm. Multivariate linear regression analyses were used to identify most important determinants of AT-IR. RESULTS Young and middle-aged women did not differ in AT-IR (3.5±2.7 and 3.2±2.1, respectively). In both young and middle-aged women, AT-IR was positively associated with trunk/leg fat ratio, a sophisticated measure of abdominal fat accumulation, fasting plasma glucose (FPG), fasting triglycerides (FTG), serum alanine aminotransferase and γ-glutamyl-transpeptidase (all p<0.05). Furthermore, in middle-aged but not in young women, AT-IR showed positive associations with BMI, waist, fat mass index, low-density lipoprotein cholesterol, apolipoprotein B and systolic and diastolic blood pressure (BP) (all p<0.05). AT-IR showed no association with hemoglobin A1c, high-density lipoprotein (HDL) cholesterol and apolipoprotein A1 in two groups of women. On multivariate analysis including waist, FPG, FTG, HDL cholesterol and systolic BP as independent variables, FPG, FTG and HDL cholesterol emerged as independent determinants of AT-IR in young women (cumulative R2=0.141) and waist in middle-aged women (cumulative R2=0.056). In a model which included trunk/leg fat ratio instead of waist, trunk/leg fat ratio and systolic BP were determinants of AT-IR in middle-aged women (cumulative R2=0.093). Results did not alter in young women. CONCLUSIONS AT-IR may be a simple and useful surrogate index of adipose tissue insulin resistance even in populations without diabetes and obesity.
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Affiliation(s)
- Kaori Kitaoka
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Japan
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Ayaka Tsuboi
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Japan
- Department of Nutrition, Osaka City Juso Hospital, Osaka, Japan
| | - Satomi Minato-Inokawa
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Japan
- Laboratory of Community Health and Nutrition, Department of Bioscience, Graduate School of Agriculture, Ehime University, Matsuyama, Japan
| | - Mari Honda
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Japan
- Department of Health, Sports, and Nutrition, Faculty of Health and Welfare, Kobe Women's University, Kobe, Japan
| | - Mika Takeuchi
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Japan
| | - Megumu Yano
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Japan
| | - Miki Kurata
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Japan
- Department of Food Sciences and Nutrition, Mukogawa Women's University, Nishinomiya, Japan
| | - Bin Wu
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Japan
- Department of Endocrinology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Tsutomu Kazumi
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Japan
- Mukogawa Joshi Daigaku Eiyo kagakukenkyujo nitsu, Nishinomiya, Japan
- Department of Medicine, Kohnan Kakogawa Hospital, Kakogawa, Japan
| | - Keisuke Fukuo
- Research Institute for Nutrition Sciences, Mukogawa Women's University, Nishinomiya, Japan
- Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Japan
- Department of Food Sciences and Nutrition, Mukogawa Women's University, Nishinomiya, Japan
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Frenzel A, Binder H, Walter N, Wirkner K, Loeffler M, Loeffler-Wirth H. The aging human body shape. NPJ Aging Mech Dis 2020; 6:5. [PMID: 32218988 PMCID: PMC7093543 DOI: 10.1038/s41514-020-0043-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 02/20/2020] [Indexed: 01/09/2023] Open
Abstract
Body shape and composition are heterogeneous among humans with possible impact for health. Anthropometric methods and data are needed to better describe the diversity of the human body in human populations, its age dependence, and associations with health risk. We applied whole-body laser scanning to a cohort of 8499 women and men of age 40–80 years within the frame of the LIFE (Leipzig Research Center for Civilization Diseases) study aimed at discovering health risk in a middle European urban population. Body scanning delivers multidimensional anthropometric data, which were further processed by machine learning to stratify the participants into body types. We here applied this body typing concept to describe the diversity of body shapes in an aging population and its association with physical activity and selected health and lifestyle factors. We find that aging results in similar reshaping of female and male bodies despite the large diversity of body types observed in the study. Slim body shapes remain slim and partly tend to become even more lean and fragile, while obese body shapes remain obese. Female body shapes change more strongly than male ones. The incidence of the different body types changes with characteristic Life Course trajectories. Physical activity is inversely related to the body mass index and decreases with age, while self-reported incidence for myocardial infarction shows overall the inverse trend. We discuss health risks factors in the context of body shape and its relation to obesity. Body typing opens options for personalized anthropometry to better estimate health risk in epidemiological research and future clinical applications.
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Affiliation(s)
- Alexander Frenzel
- 1Interdisciplinary Centre for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
| | - Hans Binder
- 1Interdisciplinary Centre for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany.,2LIFE, Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Straße 27, 04103 Leipzig, Germany
| | - Nadja Walter
- 3Faculty of Sport Science, Leipzig University, Jahnallee 59, 04109 Leipzig, Germany
| | - Kerstin Wirkner
- 2LIFE, Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Straße 27, 04103 Leipzig, Germany.,4Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
| | - Markus Loeffler
- 1Interdisciplinary Centre for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany.,2LIFE, Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Straße 27, 04103 Leipzig, Germany.,4Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
| | - Henry Loeffler-Wirth
- 1Interdisciplinary Centre for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany.,2LIFE, Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Straße 27, 04103 Leipzig, Germany
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Abstract
Obesity is a major and growing global health problem. It is associated with increased mortality as a result of an increasing number of complications, including type 2 diabetes, dyslipidaemia, hypertension, non-alcoholic hepatic steatosis, cardiovascular disease, sleep apnoea, gallbladder disease, obesity-related renal disease, increased risk of falls and injuries, and mental health problems as well as increased risk of certain malignancies. This article discusses the metabolic derangements associated with obesity. These include insulin resistance, dysglycaemia, low and dysfunctional high-density lipoprotein, formation of small dense and oxidised low-density lipoprotein, and high circulating levels of free fatty acids. This article reviews the aetiology of these derangements and their relationship to cardiovascular disease, and discusses the concept of metabolic health.
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Affiliation(s)
| | - Rachel Agius
- Lecturer, University of Malta Medical School, University of Malta, Malta
| | - Stephen Fava
- Professor, Department of Medicine, University of Malta and Mater Dei Hospital, Msida, MSD2090, Malta
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Kerkadi A, Suleman D, Abu Salah L, Lotfy C, Attieh G, Bawadi H, Shi Z. Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity. Diabetes Metab Syndr Obes 2020; 13:175-183. [PMID: 32021363 PMCID: PMC6983675 DOI: 10.2147/dmso.s238748] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 01/10/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND In Qatar more than 70% 0f the adults are overweight and obese. Different adiposity assessment methods have been proposed to identify individuals at cardio-metabolic risk. PURPOSE This study aimed to compare anthropometric indicators with Dual-energy X-ray absorptiometry (DXA) -derived adiposity indicators in predicting cardio-metabolic risk among Qatari adults. PATIENTS AND METHODS A random sample of five hundred and fifty-eight (558) healthy Qatari adults (men and women) aged 20 to 50 years was obtained from Qatar Biobank survey data. Anthropometric data (weight, height, and waist circumference), the DXA-derived data, and cardio-metabolic (CM) risk parameters were analyzed. A Spearman partial correlation coefficient, Receiver Operating Characteristics (ROC) curve and an area under curve (AUC) were used to assess the predicting ability of adiposity indicators for CM risk factors. RESULTS Adiposity indices (anthropometric and DXA) were significantly correlated with most of the CM indicators (r= -0.292 to 0.486, p< 0.001). The AUC of waist to height ratio (WHtR) was significantly higher than that of body mass index (BMI) and waist circumference (WC) in the prediction of low high density lipoprotein (HDL) (AUC=0.65, AUC=0.59; AUC=0.64), high low density lipoprotein (LDL) (AUC=0.67; AUC=0.62; AUC=0.66), high cholesterol (AUC=0.66; AUC=0.63; AUC=0.63), and high Homeostatic Model Assessment- (HOMA) (AUC= 0.81; AUC= 0.78; AUC=0.78). Among DXA- parameters, trunk fat had the highest AUCs for total cholesterol (AUC= 0.64, CI=0.56, 0.73), triglycerides and glucose index (TyG) (AUC=0.69, CI=0.64, 0.74), and HOMA (AUC=0.78, CI= 0.73, 0.84). CONCLUSION Results of the present study show that adiposity indicators (WC and WHtR) are clinically valuable tools to identify individuals at risk of CVD compared to DXA-derived parameters, while DXA can provide more accurate estimates.
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Affiliation(s)
- Abdelhamid Kerkadi
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
- Correspondence: Abdelhamid Kerkadi Tel +974 4403 4806Fax +974 4403 4801 Email
| | - Dana Suleman
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Lana Abu Salah
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Christina Lotfy
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Grace Attieh
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Hiba Bawadi
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Zumin Shi
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
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Kraege V, Vollenweider P, Waeber G, Sharp SJ, Vallejo M, Infante O, Mirjalili MR, Ezoddini-Ardakani F, Mozaffari-Khosravi H, Lotfi MH, Mirzaei M, Méan M, Marques-Vidal P. Development and multi-cohort validation of a clinical score for predicting type 2 diabetes mellitus. PLoS One 2019; 14:e0218933. [PMID: 31596852 PMCID: PMC6785081 DOI: 10.1371/journal.pone.0218933] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 06/12/2019] [Indexed: 12/14/2022] Open
Abstract
Background and aims Many countries lack resources to identify patients at risk of developing Type 2 diabetes mellitus (diabetes). We aimed to develop and validate a diabetes risk score based on easily accessible clinical data. Methods Prospective study including 5277 participants (55.0% women, 51.8±10.5 years) free of diabetes at baseline. Comparison with two other published diabetes risk scores (Balkau and Kahn clinical, respectively 5 and 8 variables) and validation on three cohorts (Europe, Iran and Mexico) was performed. Results After a mean follow-up of 10.9 years, 405 participants (7.7%) developed diabetes. Our score was based on age, gender, waist circumference, diabetes family history, hypertension and physical activity. The area under the curve (AUC) was 0.772 for our score, vs. 0.748 (p<0.001) and 0.774 (p = 0.668) for the other two. Using a 13-point threshold, sensitivity, specificity, positive and negative predictive values (95% CI) of our score were 60.5 (55.5–65.3), 77.1 (75.8–78.2), 18.0 (16.0–20.1) and 95.9 (95.2–96.5) percent, respectively. Our score performed equally well or better than the other two in the Iranian [AUC 0.542 vs. 0.564 (p = 0.476) and 0.513 (p = 0.300)] and Mexican [AUC 0.791 vs. 0.672 (p<0.001) and 0.778 (p = 0.575)] cohorts. In the European cohort, it performed similarly to the Balkau score but worse than the Kahn clinical [AUC 0.788 vs. 0.793 (p = 0.091) and 0.816 (p<0.001)]. Diagnostic capacity of our score was better than the Balkau score and comparable to the Kahn clinical one. Conclusion Our clinically-based score shows encouraging results compared to other scores and can be used in populations with differing diabetes prevalence.
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Affiliation(s)
- Vanessa Kraege
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
- * E-mail:
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Stephen J. Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, England, United Kingdom
| | - Maite Vallejo
- Tlalpan 2020 Study, Department of Socio-Medical Research, National Institute of Cardiology, Ignacio Chávez, Mexico City, Mexico
| | - Oscar Infante
- Tlalpan 2020 Study, Department of Socio-Medical Research, National Institute of Cardiology, Ignacio Chávez, Mexico City, Mexico
| | | | | | | | | | - Masoud Mirzaei
- Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Marie Méan
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
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Zhang Y, Gu Y, Wang N, Zhao Q, Ng N, Wang R, Zhou X, Jiang Y, Wang W, Zhao G. Association between anthropometric indicators of obesity and cardiovascular risk factors among adults in Shanghai, China. BMC Public Health 2019; 19:1035. [PMID: 31375086 PMCID: PMC6679475 DOI: 10.1186/s12889-019-7366-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 07/24/2019] [Indexed: 01/21/2023] Open
Abstract
Background To determine the optimal cut-off values and evaluate the associations of body mass index (BMI), waist circumference (WC) and waist-height ratio (WHtR) with cardiovascular disease (CVD) risk factors. Methods A large-scale cross-sectional survey was conducted among 35,256 adults aged 20–74 years in Shanghai between June 2016 and December 2017. Receiver operating characteristic (ROC) analyses were conducted to assess the optimal cut-off anthropometric indices of CVD risk factors including hypertension, diabetes, dyslipidemia and hyperuricemia. Multivariate Logistic regression models were preformed to evaluate the odds ratio of CVD risk factors. Results The area under the curve (AUC) of WHtR was significantly greater than that of BMI or WC in the prediction of hypertension and diabetes, and AUCs were higher in women than men. The optimal cut-off values of WHtR were approximately 0.51 in both sexes, while the cut-off values of BMI and WC were higher for men compared with women. The optimal cutoff values of BMI and WC varied greatly across different age groups, but the difference in WHtR was relatively slight. Among women, the optimal threshold of anthropometric indices appeared to increase with age for hypertension and diabetes. The odds ratio between anthropometric indices and CVD risk factors were attenuated with age. WHtR had the greatest odds ratio for CVD risk factors among adults under 60 years old except for women with hypertension, while among 60–74 years, BMI yielded the greatest odds ratio in terms of all CVD outcomes except for women with diabetes. Conclusions WHtR had the best performance for discriminating hypertension and diabetes and potentially be served as a standard screening tool in public health. The associations between three anthropometric indices and CVD risk factors differed by sex and decreased with age. These findings indicated a need to develop age- and gender-specific difference and make effective strategies for primary prevention of CVDs. Electronic supplementary material The online version of this article (10.1186/s12889-019-7366-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yue Zhang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Yi'an Gu
- Department of Epidemiology, Columbia University, New York, USA
| | - Na Wang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Nawi Ng
- Department of Public Health and Clinical Medicine, Unit for Demography and Aging Research at Umeå University, Umeå, Sweden
| | - Ruiping Wang
- Songjiang Disease Prevention and Control Center, Shanghai, 201600, China
| | - Xiaoyan Zhou
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Yonggen Jiang
- Songjiang Disease Prevention and Control Center, Shanghai, 201600, China
| | - Weibing Wang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
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Wang Y, Shirore RM, Ramakrishnan C, Tan NC, Jafar TH. Adiposity measures and pre‐diabetes or diabetes in adults with hypertension in Singapore polyclinics. J Clin Hypertens (Greenwich) 2019; 21:953-962. [DOI: 10.1111/jch.13587] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/25/2019] [Accepted: 05/06/2019] [Indexed: 12/18/2022]
Affiliation(s)
- Yeli Wang
- Program in Health Services and Systems Research Duke‐NUS Medical School Singapore Singapore
| | - Rupesh M. Shirore
- Program in Health Services and Systems Research Duke‐NUS Medical School Singapore Singapore
| | - Chandrika Ramakrishnan
- Program in Health Services and Systems Research Duke‐NUS Medical School Singapore Singapore
| | - Ngiap Chuan Tan
- Health Services Research Centre SingHealth Singapore Singapore
- SingHealth Polyclinics Singapore Singapore
- SingHealth‐Duke NUS Family Academic Clinical Program Singapore Singapore
| | - Tazeen H. Jafar
- Program in Health Services and Systems Research Duke‐NUS Medical School Singapore Singapore
- Health Services Research Centre SingHealth Singapore Singapore
- Department of Renal Medicine Singapore General Hospital Singapore Singapore
- Duke Global Health Institute Duke University Durham North Carolina
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36
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Kong X, Xing X, Zhang X, Hong J, Yang W. Sexual Dimorphism of a Genetic Risk Score for Obesity and Related Traits among Chinese Patients with Type 2 Diabetes. Obes Facts 2019; 12:328-343. [PMID: 31167208 PMCID: PMC6696887 DOI: 10.1159/000500490] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Accepted: 04/16/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Obesity is more prevalent in men than in women in China, especially within the middle-aged population. OBJECTIVES The present study aims to determine the contribution of sexual dimorphisms to obesity and related traits in terms of the mechanisms involving the obesity-related genetic variants among patients of Chinese Han ancestry with type 2 diabetes. METHOD In the Chinese National Diabetes and Metabolic Disorders Study, 2,555 out of 4,036 patients with type 2 diabetes were treatment naive, including 1,142 men and 1,413 women. Single-nucleotide polymorphisms (SNP) from 18 genomic loci previously found to be associated with obesity-related traits were successfully genotyped, and a genetic risk score (GRS) was constructed by summing the risk alleles for obesity. RESULTS Single SNP analysis showed that genetic variants in SLC30A10, TMEM18, GNPDA2, PRL, TFAP2B, BDNF, MTCH2, FTO, and MC4R were nominally associated with waist circumference (WC), BMI, and risk for abdominal or general obesity in the untreated patients with type 2 diabetes, as well as in the total group of patients with type 2 diabetes (untreated and treated) (p < 0.05). Interactions between sex and SNP in PRL, MTCH2,and FTO were detected (p < 0.05). In the untreated patients with diabetes, the GRS was nominally associated with WC (β = 0.0032, SE = 0.0011; p = 0.003), BMI (β = 0.0030, SE = 0.0013; p = 0.027), and increased risk for abdominal (OR = 1.08; 95% CI 1.02-1.13; p = 0.004) or general obesity (OR = 1.07; 95% CI 1.02-1.13; p = 0.011) in men but not in women. GRS-sex interactions were detected in the determinant of WC (p = 0.019) and abdominal obesity (p = 0.016). Among patients aged 30-60 years, GRS was found to be significantly associated with WC (β = 0.0050, SE = 0.0016; p = 0.002) and abdominal obesity (OR = 1.10; 95% CI 1.04-1.17; p = 0.001) and nominally associated with BMI (β = 0.0057, SE = 0.0020; p = 0.005) and general obesity (OR = 1.07; 95% CI 1.01-1.14; p = 0.027) in men, whereas in women none of the associations were detected. GRS-sex interactions were present in the determinant of WC (p = 0.015), BMI (p = 0.032), and abdominal obesity (p = 0.012). Among patients aged 60 years or older, neither an association of GRS with obesity-related traits nor GRS-sex interactions were detected. CONCLUSIONS Genetic factors contribute to obesity-related traits in a sex-dependent pattern among middle-aged Chinese, and men tend to be more susceptible to the genetic risk of obesity.
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Affiliation(s)
- Xiaomu Kong
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Xiaoyan Xing
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Xuelian Zhang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Jing Hong
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Wenying Yang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China,
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