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Li D, Zhao Y, Zhang L, You Q, Jiang Q, Yin X, Cao S. Association between neck circumference and diabetes mellitus: a systematic review and meta-analysis. Diabetol Metab Syndr 2023; 15:133. [PMID: 37340489 DOI: 10.1186/s13098-023-01111-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/14/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Despite that several original researchers have investigated the association between neck circumference (NC) and the risk of diabetes mellitus (DM), their results remain controversial. This review aimed to quantitatively determine the risk of DM in relation to the NC. METHODS We conducted a literature search of PubMed, Embase, and the Web of Science from these databases' inception through September 2022 to identify observational studies that examined the association between NC and the risk of DM. A meta-analysis of the random-effects model was applied to combine the results of the enrolled studies. RESULTS Sixteen observational studies involving 4,764 patients with DM and 26,159 participants were assessed. The pooled results revealed that NC was significantly associated with the risk of type 2 DM (T2DM) (OR = 2.17; 95% CI: 1.30-3.62) and gestational DM (GDM) (OR = 1.31; 95% CI: 1.17-1.48). Subgroup analysis revealed that after controlling for BMI, the relationship between the NC and T2DM remained statistically significant (OR = 1.94; 95% CI: 1.35-2.79). Moreover, the pooled OR of T2DM was found to be 1.16 (95% CI: 1.07-1.27) for an increment per each centimeter in the NC. CONCLUSIONS Integrated epidemiological evidence supports the hypothesis that a greater NC is associated with an increased risk of T2DM and GDM.
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Affiliation(s)
- Dandan Li
- Department of Medical Records Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Yuxin Zhao
- Shenzhen Fuyong People's Hospital, Shenzhen, Guangdong, China
| | - Lifang Zhang
- Medical Service, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qiqi You
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qingqing Jiang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaoxv Yin
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shiyi Cao
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Rahnemaei FA, Abdi F, Pakzad R, Sharami SH, Mokhtari F, Kazemian E. Association of body composition in early pregnancy with gestational diabetes mellitus: A meta-analysis. PLoS One 2022; 17:e0271068. [PMID: 35969611 PMCID: PMC9377632 DOI: 10.1371/journal.pone.0271068] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 06/22/2022] [Indexed: 01/10/2023] Open
Abstract
INTRODUCTION Body composition as dynamic indices constantly changes in pregnancy. The use of body composition indices in the early stages of pregnancy has recently been considered. Therefore, the current meta-analysis study was conducted to investigate the relationship between body composition in the early stages of pregnancy and gestational diabetes. METHOD Valid databases searched for papers published from 2010 to December 2021 were based on PRISMA guideline. Newcastle Ottawa was used to assess the quality of the studies. For all analyses, STATA 14.0 was used. Mean difference (MD) of anthropometric indices was calculated between the GDM and Non-GDM groups. Pooled MD was estimated by "Metan" command, and heterogeneity was defined using Cochran's Q test of heterogeneity, and I 2 index was used to quantify heterogeneity. RESULTS Finally, 29 studies with a sample size of 56438 met the criteria for entering the meta-analysis. Pooled MD of neck circumference, hip circumference, waist hip ratio, and visceral adipose tissue depth were, respectively, 1.00 cm (95% CI: 0.79 to 1.20) [N = 5; I^2: 0%; p: 0.709], 7.79 cm (95% CI: 2.27 to 13.31) [N = 5; I2: 84.3%; P<0.001], 0.03 (95% CI: 0.02 to 0.04) [N = 9; I2: 89.2%; P<0.001], and 7.74 cm (95% CI: 0.11 to 1.36) [N = 4; I^2: 95.8%; P<0.001]. CONCLUSION Increased neck circumference, waist circumference, hip circumference, arm circumference, waist to hip ratio, visceral fat depth, subcutaneous fat depth, and short stature increased the possibility of developing gestational diabetes. These indices can accurately, cost-effectively, and affordably assess the occurrence of gestational diabetes, thus preventing many consequences with early detection of gestational diabetes.
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Affiliation(s)
- Fatemeh Alsadat Rahnemaei
- Department of Obstetrics & Gynecology, Midwifery, Reproductive Health Research Center, Al-zahra Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Fatemeh Abdi
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Reza Pakzad
- Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
| | - Seyedeh Hajar Sharami
- Department of Obstetrics & Gynecology, Reproductive Health Research Center, Al-zahra Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Fatemeh Mokhtari
- Department of Midwifery, Reproductive Health, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elham Kazemian
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, Unites States of America
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Ghorbani A, Hashemipour S, Mohammadi Z, Zohal M, Lalooha F. Appropriate neck/waist circumference cut-off points for gestational diabetes prediction in Iranian pregnant women: The baseline analysis of the Qazvin maternal and neonatal metabolic study (QMNMS), Iran. Diabetes Metab Syndr 2022; 16:102579. [PMID: 35921767 DOI: 10.1016/j.dsx.2022.102579] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Gestational diabetes is the most common complication during pregnancy and it is essential to identify the high-risk groups for gestational diabetes mellitus (GDM) in the first trimester. A large neck circumference (NC) in the first trimester is a measure of obesity. OBJECTIVE The present study investigated whether pregnant women's first-trimester NC and waist circumference (WC) measurements present a predictive index for GDM diagnosis. MATERIALS AND METHODS This longitudinal cohort study was conducted on 676 pregnant women aged ≥20 years. Pregnant women at 12-14th (baseline) gestational weeks underwent measurement of neck and other anthropometric indices. GDM was diagnosed with 75-g oral glucose tolerance test at 24-28th gestational week. RESULTS GDM was developed in 110 (16.3%) pregnant women. The logistic regression analysis showed that baseline NC > 33.5 cm (OR: 2.037, 95% CI: 1.313-3.161; P = 0.002) and WC > 90.5 (OR: 2.299, 95% CI: 1.510-3.501; p < 0.001) were independent predictors of GDM. The area under the receiver operating characteristic (ROC) curve analysis of baseline NC and WC for GDM prediction respectively yielded 0.614 (95% CI: 0.558-0.670, p < 0.001) and 0.641 (CI: 0.583-0.698, p < 0.001). The optimal cut-off level of maternal baseline NC was >33.5 cm, with 68.5% sensitivity and 48.3% specificity, and for baseline WC it was >90.5.50 cm, with 57% sensitivity and 63.4% specificity. CONCLUSION Pregnant women with an NC > 33.5 cm and a WC > 90.5 cm at baseline (12-14th gestational weeks) had a higher chance of developing GDM. first-trimester NC and waist circumference (WC) measurements present a predictive index for GDM diagnosis.
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Affiliation(s)
- Azam Ghorbani
- Metabolic Diseases Research Center, Research Institute for Prevention of Non-Communicable Disease, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Sima Hashemipour
- Metabolic Diseases Research Center, Research Institute for Prevention of Non-Communicable Disease, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Zahrasadat Mohammadi
- Metabolic Diseases Research Center, Research Institute for Prevention of Non-Communicable Disease, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Mohammadali Zohal
- Metabolic Diseases Research Center, Research Institute for Prevention of Non-Communicable Disease, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Fatemeh Lalooha
- Metabolic Diseases Research Center, Research Institute for Prevention of Non-Communicable Disease, Qazvin University of Medical Sciences, Qazvin, Iran.
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Heslehurst N, Ngongalah L, Bigirumurame T, Nguyen G, Odeniyi A, Flynn A, Smith V, Crowe L, Skidmore B, Gaudet L, Simon A, Hayes L. Association between maternal adiposity measures and adverse maternal outcomes of pregnancy: Systematic review and meta-analysis. Obes Rev 2022; 23:e13449. [PMID: 35467075 PMCID: PMC9285432 DOI: 10.1111/obr.13449] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/15/2022] [Accepted: 03/15/2022] [Indexed: 12/23/2022]
Abstract
Maternal obesity increases pregnancy-related risks. Women with a body mass index (BMI) ≥ 30 kg/m2 are considered to be at risk and should receive additional care, although approximately half will have uncomplicated pregnancies. This systematic review aimed to identify early pregnancy measures of adiposity associated with adverse maternal health outcomes. Searches included six databases, reference lists, citations, and contacting authors. Screening and quality assessment were carried out by two authors independently. Random effects meta-analysis and narrative synthesis were conducted. Seventy studies were included with a pooled sample of 89,588 women. Meta-analysis showed significantly increased odds of gestational diabetes mellitus (GDM) with higher waist circumference (WC) categories (1.40, 95% confidence interval [CI] 1.04, 1.88) and per unit increase in WC (1.31, 95% CI 1.03, 1.67). Women with GDM had higher WC than controls (mean difference [MD] 6.18 cm, 95% CI 3.92, 8.44). WC was significantly associated with hypertensive disorders, delivery-related outcomes, metabolic syndrome, and composite pregnancy outcomes. Waist to hip ratio was significantly associated with GDM, hypertensive disorders, and delivery-related outcomes. Fat mass, neck circumference, skinfolds, and visceral fat were significantly associated with adverse outcomes, although limited data were available. Our findings identify the need to explore how useful adiposity measures are at predicting risk in pregnancy, compared with BMI, to direct care to women with the greatest need.
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Affiliation(s)
- Nicola Heslehurst
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Lem Ngongalah
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Giang Nguyen
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Adefisayo Odeniyi
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Angela Flynn
- Department of Nutritional Sciences, King's College London, London, UK
| | - Vikki Smith
- Department of Nursing, Midwifery and Health, Northumbria University, Newcastle upon Tyne, UK
| | - Lisa Crowe
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Becky Skidmore
- Independent Information Specialist, Ottawa, Ontario, Canada
| | - Laura Gaudet
- Department of Obstetrics and Gynaecology, Queen's University, Kingston, Ontario, Canada
| | | | - Louise Hayes
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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de Souza Carvalho CR, Dualib PM, Mattar R, Dib SA, de Almeida-Pititto B. Neck circumference as a predictor of gestational diabetes and risk of adverse outcomes in pregnancy of Brazilian woman with overweight and obesity. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022; 66:439-445. [PMID: 35657131 PMCID: PMC10697636 DOI: 10.20945/2359-3997000000499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 04/09/2022] [Indexed: 06/15/2023]
Abstract
Objective To evaluate the association of neck circumference (NC) with gestational diabetes (GDM) and adverse outcomes in women with overweight and obesity. Subjects and methods This prospective study included 132 (BMI > 25 kg/m2) pregnant women without and with GDM. Standardized questionnaire and biochemical/physical evaluation were performed during the 1st to 3rd trimester. Fifth-five women were evaluated regarding hypertension in pregnancy, type of delivery and neonatal complications (death, intensive care unit admission and hypoglycemia). Results Women with (n = 61) and without (n = 71) GDM had similar mean (SD) pre-gestational BMI [30.3 (4.0) vs. 29.4 (3.5) kg/m2, p = 0.16]. Women with GDM were older [32 (6) vs. 28 (6) yrs, p < 0.001] and had greater NC [36.0 (2.7) vs. 34.5 (1.8) cm, p < 0.001]. NC was similar in women with GDM diagnosed in first or third trimester [p = 0.4] and was correlated with FPG [r 0.29, p = 0.01] and systolic [r 0.28, p = 0.001] and diastolic [r 0.25, p = 0.004] blood pressure. NC was associated with GDM [OR 1.25, 95%CI 1.03-1.52] adjusted for age, physical activity, education and familiar history of diabetes. In ROC analysis, the area under the curve was 0.655 and the cut-off value of 34.5 cm had 0.70 of sensitivity and 0.51 of specificity for GDM. Women who had NC ≥ 34.5 vs. < 34.5 cm had higher frequencies of hypertension [32.3 vs. 4.2%, p = 0.01]. Conclusion In a group of pregnant women with overweight or obesity, NC can be a useful tool for identifying risk of GDM and obstetric adverse outcomes.
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Affiliation(s)
| | - Patricia Medici Dualib
- Programa de Pós-graduação em Endocrinologia e Metabologia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina da Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - Rosiane Mattar
- Departamento de Obstetrícia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - Sérgio Atala Dib
- Programa de Pós-graduação em Endocrinologia e Metabologia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina da Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - Bianca de Almeida-Pititto
- Programa de Pós-graduação em Endocrinologia e Metabologia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina Preventiva, Universidade Federal de São Paulo, São Paulo, SP, Brasil,
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Barforoush TS, Ghadimi R, Pahlevan Z, Ahmadi N, Delavar MA. The relationship between neck circumference and gestational diabetes mellitus in Iranian women. Clin Diabetes Endocrinol 2021; 7:22. [PMID: 34906254 PMCID: PMC8672644 DOI: 10.1186/s40842-021-00136-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 11/29/2021] [Indexed: 12/31/2022] Open
Abstract
Background The aim of the present study was to assess the relationship between neck circumference and gestational diabetes. Methods This prospective study was conducted on 372 Iranian pregnant women. The criteria set by the American Diabetes Association through 2 h was used to classify subjects with regard to their gestational diabetes. At the 14–16th weeks of pregnancy, the neck circumference was measured. The maternal and fetal outcomes were measured as well. Results The adjusted logistic regression revealed that neck circumference was a predictor for gestational diabetes mellitus (OR = 1.20; 95% CI = 1.06, 1.34; P = 0.002). The ROC analysis depicted that the cut-off for neck circumference in indicating gestational diabetes was 34.3 cm, with the sensitivity of 53% and the specificity of 66%. Conclusion The findings of the present study revealed that the neck circumference of ≥34.3 cm can be deemed as a predictor of gestational diabetes in the case of Iranian pregnant women.
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Affiliation(s)
| | - Reza Ghadimi
- Department of Community Medicine, School of Medicine, Social Determinants of Health, Research Center, Research Institute for Health, Babol University of Medical Sciences, Babol, Iran
| | - Zaynab Pahlevan
- Department of Obstetrics & Gynecology, Infertility and Reproductive Health Research Center, Research Institute for Health, Babol University of Medical Sciences, Babol, Iran
| | - Niloufar Ahmadi
- Student Committee Research, Babol University of Medical Sciences, Babol, Iran
| | - Mouloud Agajani Delavar
- Infertility and Reproductive Health Research Center, Research Institute for Health, Babol University of Medical Sciences, Babol-Amol oldhighway, after Mohammadhasan Khan Bridge, Po. Box: 47135-547, Babol, Mazandaran, Iran.
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Hancerliogullari N, Kansu-Celik H, Asli Oskovi Kaplan Z, Oksuzoglu A, Ozgu-Erdinc AS, Engin-Ustun Y. Correlation of Maternal Neck/Waist Circumferences and Fetal Macrosomia in Low-Risk Turkish Pregnant Women, a Preliminary Study. Fetal Pediatr Pathol 2021; 40:181-188. [PMID: 31603015 DOI: 10.1080/15513815.2019.1675831] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Goals: Our aim in this study was to determine if the maternal neck and waist circumference measured in the first three months of pregnancy were effective in prediction of fetal macrosomia.Material and methods In this retrospective cohort study; body mass index, neck circumference (NC) and waist circumference (WC) was measured in low risk pregnant women at 11-13+6th weeks of pregnancy.Results Among the 361 women, 8% of newborns were over 4000 grams. The rate of fetal macrosomia increased with the increased NC and WC. In ROC analysis, optimum cutoff value of NC was >36.5 cm to predict fetal macrosomia with 68.97% sensitivity and 66.97% specifity and for WC it was >88 cm with 62.07% sensitivity and 61.26% specifity.Conclusion Risk of fetal macrosomia increased with the increased maternal NC and WC.
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Affiliation(s)
| | | | | | | | - A Seval Ozgu-Erdinc
- Zekai Tahir Burak Women's Health Care, Training and Research Hospital, Ankara, Turkey
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Yan Q, Sun D, Li X, Zheng Q, Long H, Feng B. Neck Circumference and Incidence of Type 2 Diabetes in Chinese Elderly Individuals: A Community-Based Cohort Study. Obes Facts 2021; 14:450-455. [PMID: 34428761 PMCID: PMC8546435 DOI: 10.1159/000514219] [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: 06/26/2020] [Accepted: 12/31/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION This study aimed to investigate whether neck circumference (NC) was associated with the incidence of type 2 diabetes in Chinese elderly individuals. METHODS A community-based cohort study was conducted on elderly inhabitants in Shanghai with a mean age of 71.0 ± 5.8 years (n = 2,646). Binary logistic regression analysis was performed to evaluate the association between NC and the prevalence of type 2 diabetes, while a Cox regression model was used to determine the association between NC and the incidence of type 2 diabetes after a follow-up of 2 years. RESULTS Logistic regression analysis showed that a larger NC was significantly associated with an increased risk for type 2 diabetes in men (odds ratio [OR] 1.18, 95% confidence interval [CI] 1.07-1.31; p = 0.001) and women (OR 1.25, 95% CI 1.13-1.38; p < 0.001). Cox regression analysis revealed that NC was independently associated with the incidence of type 2 diabetes in both men (hazard ratio [HR] 1.14, 95% CI 1.05-1.23; p = 0.002) and women (HR 1.18, 95% CI 1.10-1.27; p < 0.001). CONCLUSIONS A larger NC was associated with a higher risk of developing type 2 diabetes in Chinese elderly individuals. However, studies with larger sample sizes and longer follow-up durations are needed to definitively determine the relationship between NC and the risk of developing type 2 diabetes.
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Affiliation(s)
- Qun Yan
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dongmei Sun
- Shanghai Puxing Community Health-Care Center, Shanghai, China
| | - Xu Li
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - QingHu Zheng
- Shanghai Puxing Community Health-Care Center, Shanghai, China
| | - HaiNing Long
- Shanghai Puxing Community Health-Care Center, Shanghai, China
| | - Bo Feng
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- *Bo Feng,
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Hancerliogullari N, Kansu-Celik H, Asli Oskovi-Kaplan Z, Kisa B, Engin-Ustun Y, Ozgu-Erdinc AS. Optimal maternal neck and waist circumference cutoff values for prediction of gestational diabetes mellitus at the first trimester in Turkish population; a prospective cohort study. Gynecol Endocrinol 2020; 36:1002-1005. [PMID: 32274939 DOI: 10.1080/09513590.2020.1750003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Abstract
Aims: To investigate if the maternal neck (NC) and waist (WC) circumferences measured in the first trimester of pregnancy have a predictive value in diagnosing gestational diabetes mellitus (GDM).Materials and methods: In this prospective study NC and WC of pregnant women were measured at 11-14th weeks. GDM was evaluated with a two-step oral glucose tolerance test at 24-28th weeks.Result: A total of 525 women were recruited; 49(9%) developed GDM. NC was positively correlated with WC (r: 0.583, p < .001), BMI (r: 0.533, p < .001), age (r: 0.123, p = .002), parity (r: 0.170, p < .001), and 50 g OGTT levels (r: 0.206, p < .001). Regarding the area under receiver operating characteristic (ROC) curve (AUC) analysis of NC and WC for predicting GDM were 0.585 (95% confidence interval (CI): 0.50-0.66, p = .043), and 0.693 (95%CI: 0.61-0.76, p < .001). The optimal cut off level of maternal NC was >38.5 cm, with 69% sensitivity and 45% specificity, and WC was >84.50 cm with a sensitivity of 78% and a specificity of 54%. Increased WC >84.50 cm (OR: 3.58, 95% CI:1.77-7.27; p < .001) and age >25 (OR: 3.05, 95% CI:1.38-6.72; p = .006) were independent predictors for the development of GDM adjusted for age, gravidity, parity, BMI, and NC.Conclusion: Maternal NC and WC were significantly higher in women with GDM; however, only maternal WC was a significant predictive marker for GDM in low-risk pregnant women.
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Affiliation(s)
- Necati Hancerliogullari
- Ministry of Health, Department of Obstetrics and Gynecology, Ankara City Hospital, Ankara, Turkey
| | - Hatice Kansu-Celik
- Ministry of Health, Department of Obstetrics and Gynecology, Ankara City Hospital, Ankara, Turkey
| | - Z Asli Oskovi-Kaplan
- Ministry of Health, Department of Obstetrics and Gynecology, Ankara City Hospital, Ankara, Turkey
| | - Burcu Kisa
- Ministry of Health, Department of Obstetrics and Gynecology, Ankara City Hospital, Ankara, Turkey
| | - Yaprak Engin-Ustun
- Etlik Zubeyde Hanim Women's Health Education and Research Hospital, Ankara, Turkey
| | - A Seval Ozgu-Erdinc
- Ministry of Health, Department of Obstetrics and Gynecology, Ankara City Hospital, Ankara, Turkey
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Fu W, Zou L, Yin X, Wu J, Zhang S, Mao J, Cao S, Li W, Gan Y, Yan S, Gong Y, Lu Z. Association between neck circumference and cardiometabolic disease in Chinese adults: a community-based cross-sectional study. BMJ Open 2019; 9:e026253. [PMID: 31826885 PMCID: PMC6924785 DOI: 10.1136/bmjopen-2018-026253] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES Several studies have indicated that neck circumference (NC) was associated with cardiometabolic disease in some Western countries. However, there are limited data regarding this association among Chinese adults. DESIGN A community-based cross-sectional study. SETTING A multistage-stratified random cluster survey was conducted in Xixiang Street, Bao'an District of Shenzhen in southeast China. PARTICIPANTS This study included 4000 participants (1605 men and 2395 women) with a mean age of 56.0±9.8 years. MAIN OUTCOME MEASURES Categorical data were reported as percentage and continuous data were reported as mean±SD. Receiver operating characteristic analysis and logistic regression analysis were used to evaluate the association of NC with cardiometabolic disease. RESULTS The mean NC values were 35.50±4.23 cm for men and 32.32±3.59 cm for women. After adjusting for body mass index and waist circumference, NC was significantly associated with the risk of hypertension (OR: 1.42 in women), decreased high-density lipoprotein (HDL) levels (OR: 1.27 in men; OR: 1.12 in women), high triglyceride (TG) levels (OR: 1.54 in women) and diabetes (OR: 1.41 in men; OR: 1.37 in women). Among men, the optimal NC cut-off values were 38.10 cm for identifying hypertension, 32.32 cm for decreased HDL levels, 36.6 cm for high TG levels and 36.6 cm for diabetes. Among women, the optimal NC cut-off values were 32.35 cm for identifying hypertension, 33.40 cm for decreased HDL levels, 32.90 cm for high TG levels and 33.40 cm for diabetes. CONCLUSIONS NC was significantly associated with cardiometabolic disease in Chinese population. Although further studies are needed to confirm the optimal cut-off values, evaluating NC may be useful for predicting cardiometabolic disease risk during clinical assessments.
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Affiliation(s)
- Wenning Fu
- Department of Social Medicine and Health Management of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Zou
- Department of Neurology, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xiaoxu Yin
- Department of Social Medicine and Health Management of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiang Wu
- Deparment of Chronic disease management, Bao'an Central Hospital of Shenzhen, Shenzhen, China
| | - Shengchao Zhang
- Deparment of Chronic disease management, Bao'an Central Hospital of Shenzhen, Shenzhen, China
| | - Jing Mao
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiyi Cao
- Department of Social Medicine and Health Management of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Li
- Department of Social Medicine and Health Management of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yong Gan
- Department of Social Medicine and Health Management of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shijiao Yan
- Public Health, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Yanhong Gong
- Department of Social Medicine and Health Management of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zuxun Lu
- Department of Social Medicine and Health Management of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Ting MK, Liao PJ, Wu IW, Chen SW, Yang NI, Lin TY, Hsu KH. Predicting Type 2 Diabetes Mellitus Occurrence Using Three-Dimensional Anthropometric Body Surface Scanning Measurements: A Prospective Cohort Study. J Diabetes Res 2018; 2018:6742384. [PMID: 30116743 PMCID: PMC6079414 DOI: 10.1155/2018/6742384] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 02/07/2018] [Accepted: 02/27/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND An accurate and comprehensive anthropometric measure for predicting type 2 diabetes mellitus (T2DM) has not yet been depicted. METHODS A total of 8450 nondiabetic participants were recruited during 2000-2010 in Taiwan. The cohort was followed up to the end of 2013, over an average of 8.87 years. At recruitment, participants completed a questionnaire related to basic demographics, lifestyle variables, personal disease history, and family disease history. 3D body surface scanning was used to obtain 35 anatomical measurements. A Cox proportional hazard model was used to conduct multivariable analyses. RESULTS A total of 2068 T2DM cases at an incidence rate of 27.59 × 10-3 (year-1) were identified during the follow-up period. Multivariable-adjusted hazard ratios (HRs) demonstrated that neck circumference (NC) (HR = 1.048; 95% CI = 1.033-1.064), waist width (WW) (HR = 1.061; 95% CI = 1.040-1.081), and left thigh circumference (TC) (HR = 0.984; 95% CI = 0.972-0.995) were significant predictors of the occurrence of T2DM. While dividing body measurement into median high/low groups, an increased risk of T2DM was observed among participants with a larger NC and smaller TC (HR = 1.375; 95% CI = 1.180-1.601) and a larger WW and smaller TC (HR = 1.278; 95% CI = 1.085-1.505) relative to other participants. CONCLUSIONS This study suggests that as well as using traditional waist and TC measurements, NC can be used as an indicator to provide an early prediction of developing T2DM, while providing clues for future mechanistic investigations of T2DM.
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Affiliation(s)
- Ming-Kuo Ting
- Division of Endocrinology and Metabolism, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Pei-Ju Liao
- Department of Health Care Administration, Oriental Institute of Technology, New Taipei City, Taiwan
| | - I-Wen Wu
- Division of Nephrology, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Shuo-Wei Chen
- Division of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Ning-I Yang
- Division of Cardiology, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Tzu-Yu Lin
- Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Kuang-Hung Hsu
- Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
- Laboratory for Epidemiology, Department of Health Care Management, Chang Gung University, Taoyuan, Taiwan
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Urology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
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12
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Mendoza LC, Harreiter J, Simmons D, Desoye G, Adelantado JM, Juarez F, Chico A, Devlieger R, van Assche A, Galjaard S, Damm P, Mathiesen ER, Jensen DM, Andersen LLT, Tanvig M, Lapolla A, Dalfra MG, Bertolotto A, Mantaj U, Wender-Ozegowska E, Zawiejska A, Hill D, Jelsma JG, Snoek FJ, van Poppel MNM, Worda C, Bancher-Todesca D, Kautzky-Willer A, Dunne FP, Corcoy R. Risk factors for hyperglycemia in pregnancy in the DALI study differ by period of pregnancy and OGTT time point. Eur J Endocrinol 2018; 179:39-49. [PMID: 29739812 DOI: 10.1530/eje-18-0003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 05/08/2018] [Indexed: 01/20/2023]
Abstract
OBJECTIVE Risk factors are widely used to identify women at risk for gestational diabetes mellitus (GDM) without clear distinction by pregnancy period or oral glucose tolerance test (OGTT) time points. We aimed to assess the clinical risk factors for Hyperglycemia in pregnancy (HiP) differentiating by these two aspects. DESIGN AND METHODS Nine hundred seventy-one overweight/obese pregnant women, enrolled in the DALI study for preventing GDM. OGTTs were performed at ≤19 + 6, 24-28 and 35-37 weeks (IADPSG/WHO2013 criteria). Women with GDM or overt diabetes at one time point did not proceed to further OGTTs. Potential independent variables included baseline maternal and current pregnancy characteristics. STATISTICAL ANALYSIS Multivariate logistic regression. RESULTS Clinical characteristics independently associated with GDM/overt diabetes were at ≤19 + 6 weeks, previous abnormal glucose tolerance (odds ratio (OR): 3.11; 95% CI: 1.41-6.85), previous GDM (OR: 2.22; 95% CI: 1.20-4.11), neck circumference (NC) (OR: 1.58; 95% CI: 1.06-2.36 for the upper tertile), resting heart rate (RHR, OR: 1.99; 95% CI: 1.31-3.00 for the upper tertile) and recruitment site; at 24-28 weeks, previous stillbirth (OR: 2.92; 95% CI: 1.18-7.22), RHR (OR: 3.32; 95% CI: 1.70-6.49 for the upper tertile) and recruitment site; at 35-37 weeks, maternal height (OR: 0.41; 95% CI: 0.20-0.87 for upper tertile). Clinical characteristics independently associated with GDM/overt diabetes differed by OGTT time point (e.g. at ≤19 + 6 weeks, NC was associated with abnormal fasting but not postchallenge glucose). CONCLUSION In this population, most clinical characteristics associated with GDM/overt diabetes were non-modifiable and differed by pregnancy period and OGTT time point. The identified risk factors can help define the target population for future intervention trials.
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Affiliation(s)
- Lilian C Mendoza
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jürgen Harreiter
- Division of Endocrinology, Department of Medicine III, Gender Medicine Unit, Medical University of Vienna, Vienna, Austria
| | - David Simmons
- Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, UK
- Macarthur Clinical School, Western Sydney University, Sydney, Australia
| | - Gernot Desoye
- Department of Obstetrics and Gynecology, Medizinische Universitaet Graz, Graz, Austria
| | - J M Adelantado
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Fabiola Juarez
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Ana Chico
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- CIBER Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III, Zaragoza, Spain
| | - Roland Devlieger
- KU Leuven, Department of Development and Regeneration: Pregnancy, Fetus and Neonate, Leuven, Belgium
- Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Andre van Assche
- KU Leuven, Department of Development and Regeneration: Pregnancy, Fetus and Neonate, Leuven, Belgium
- Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Sander Galjaard
- KU Leuven, Department of Development and Regeneration: Pregnancy, Fetus and Neonate, Leuven, Belgium
- Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Peter Damm
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Copenhagen, Denmark
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elisabeth R Mathiesen
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Copenhagen, Denmark
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dorte M Jensen
- Departments of Endocrinology, Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | - Lise Lotte T Andersen
- Departments of Endocrinology, Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | - Mette Tanvig
- Departments of Endocrinology, Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | | | | | | | - Urszula Mantaj
- Division of Reproduction, Medical Faculty I, Poznan University of Medical Sciences, Poznan, Poland
| | - Ewa Wender-Ozegowska
- Division of Reproduction, Medical Faculty I, Poznan University of Medical Sciences, Poznan, Poland
| | - Agnieszka Zawiejska
- Division of Reproduction, Medical Faculty I, Poznan University of Medical Sciences, Poznan, Poland
| | - David Hill
- Recherche en Santé Lawson SA, St Gallen, Switzerland
| | - Judith G Jelsma
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, the Netherlands
| | - Frank J Snoek
- Department of Medical Psychology, VU University Medical Centre and Academic Medical Centre, Amsterdam, the Netherlands
| | - Mireille N M van Poppel
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, the Netherlands
- Institute of Sport Science, University of Graz, Graz, Austria
| | - Christof Worda
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria
| | - Dagmar Bancher-Todesca
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria
| | - Alexandra Kautzky-Willer
- Division of Endocrinology, Department of Medicine III, Gender Medicine Unit, Medical University of Vienna, Vienna, Austria
- Gender Medicine Institute, Gars am Kamp, Austria
| | | | - Rosa Corcoy
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- CIBER Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III, Zaragoza, Spain
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KhushBakht D, Mazhar S, Bhalli A, Rashid A, Khan K, Jahanzaib U. Correlation Between Neck Circumference and Gestational Diabetes Mellitus and Associated Risk Factors During Pregnancy. Cureus 2018; 10:e2699. [PMID: 30062073 PMCID: PMC6063385 DOI: 10.7759/cureus.2699] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Introduction Due to normal physiological changes in various anthropometric indices during pregnancy, the routine measurements of body weight, height, waist circumference, and waist-to-hip ratio are deemed inappropriate in predicting obesity and risk of gestational diabetes mellitus in pregnancy. Neck circumference is a novel marker to determine the risk of gestational diabetes in pregnancy. We conducted this study to determine the correlation between neck circumference and gestational diabetes mellitus and its associated risk factors. Methods This was an observational, cross-sectional study conducted at Jinnah Allama Iqbal Institute of Diabetes and Endocrinology (JAIDE), Allama Iqbal Medical College/ Jinnah Hospital, Lahore from July 2017 to March 2018. Pregnant females at 16 weeks of gestation underwent measurement of weight, height, body mass index, neck, and waist circumference. At the 24th gestational week, an oral glucose test was conducted and fasting lipid profile, serum albumin, and uric acid were measured. Pearson’s correlation was used to see any correlation between neck circumference and gestational diabetes and its associated risk factors. Results There were 90 subjects in the study with a mean age 30.8 ± 3.2 (range: 26 – 34) years. The waist and neck circumference at 16 weeks of gestation measured 104.2 ± 9.0 cm and 36.1 ± 2.8 cm, respectively. Age, weight, waist circumference, and body mass index were positively and significantly correlated with neck circumference (p-value < 0.05). After adjusting for age, the correlation between neck circumference and weight, waist circumference, and body mass index (BMI) was statistically significant with a p-value < 0.05. Analysis of the receiver operating curve revealed that the cut-off value of neck circumference for predicting gestational diabetes was 35.70 cm with a sensitivity of 51.4% and specificity of 81.2%. Conclusion Neck circumference at the 16th gestational week is a reliable and valid tool to predict gestational diabetes mellitus at 24 weeks of gestation.
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Affiliation(s)
- Dr KhushBakht
- Department of Internal Medicine, Fauji Foundation Hospital, Lahore
| | - Saadon Mazhar
- Department of Diagnostic Radiology, Lahore General Hospital, Lahore
| | - Amanullah Bhalli
- Jinnah Allama Iqbal Institute of Diabetes and Endocrinology (jaide), Jinnah Hospital, Allama Iqbal Medical College, Lahore, PAK
| | - Aqeela Rashid
- Jinnah Allama Iqbal Institute of Diabetes and Endocrinology (jaide), Jinnah Hospital, Allama Iqbal Medical College, Lahore, PAK
| | - Khurshid Khan
- Jinnah Allama Iqbal Institute of Diabetes and Endocrinology (jaide), Jinnah Hospital, Allama Iqbal Medical College, Lahore, PAK
| | - Uzma Jahanzaib
- Department of Internal Medicine, Division of Endocrinology, Mayo Hospital Lahore
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14
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Zhao L, Huang G, Xia F, Li Q, Han B, Chen Y, Chen C, Lin D, Wang N, Lu Y. Neck circumference as an independent indicator of visceral obesity in a Chinese population. Lipids Health Dis 2018; 17:85. [PMID: 29665813 PMCID: PMC5902833 DOI: 10.1186/s12944-018-0739-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 04/09/2018] [Indexed: 02/06/2023] Open
Abstract
Background Neck circumference (NC) was reported to be associated with visceral obesity in some specific subjects. However, no studies have reported whether NC could identify visceral obesity in the general population. Here, we mainly aimed to explore whether NC is suitable to identify visceral obesity in the general population. Methods Our data were from a cross-sectional survey on the prevalence of metabolic diseases and risk factors in East China from 2014 to 2015. A total of 9366 participants aged 18–93 were identified for analysis. Anthropometric indices, biochemical parameters and clinical characteristics were measured. The NC values were quartered according to sex. Spearman’s correlation coefficient was employed to test the correlations between different variables. Linear regression and logistic regression were conducted to explore the relationship of NC with visceral adiposity indices and visceral obesity. Results Among the 9366 participants, 3938 (42.05%) were male and 5428 (57.95%) were female. NC had a positive correlation with the visceral adiposity indices, regardless of sex. In all quartiles of NC, in both men and women, as NC values increased, the values of all the fatness indices showed a tendency to increase (all P < 0.001). After full adjustment for demographic variables and metabolic factors, linear regression showed that NC was still associated with the fatness indices for visceral obesity (all P < 0.001). In addition, logistic analysis showed that a larger NC was associated with a higher risk of visceral obesity in both males (OR 32.34, 95% CI 24.02–43.53; P < 0.001) and females (OR 21.43, 95% CI 17.30–26.55; P < 0.001) after adjusting for potential confounding factors. Conclusion NC can be a supplemental indicator for identifying visceral obesity in the general Chinese population.
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Affiliation(s)
- Li Zhao
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Guolan Huang
- Department of Endocrinology, Fengcheng Branch of Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Fangzhen Xia
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Qin Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Bing Han
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Yi Chen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Chi Chen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Dongping Lin
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China.
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China. .,Department of Endocrinology, Fengcheng Branch of Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China.
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15
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Li P, Lin S, Cui J, Li L, Zhou S, Fan J. First Trimester Neck Circumference as a Predictor for the Development of Gestational Diabetes Mellitus. Am J Med Sci 2018; 355:149-152. [DOI: 10.1016/j.amjms.2017.09.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 09/01/2017] [Accepted: 09/03/2017] [Indexed: 01/20/2023]
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16
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He F, He H, Liu W, Lin J, Chen B, Lin Y, Zhao Y, Tao W, Xia X. Neck circumference might predict gestational diabetes mellitus in Han Chinese women: A nested case-control study. J Diabetes Investig 2016; 8:168-173. [PMID: 27589681 PMCID: PMC5334293 DOI: 10.1111/jdi.12574] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Revised: 08/21/2016] [Accepted: 08/31/2016] [Indexed: 11/27/2022] Open
Abstract
AIMS/INTRODUCTION A large neck circumference might be an indicator of metabolic syndrome and its components, and for certain patients is more practical as an index than waist circumference. The demarcation value for neck circumference that suggests metabolic syndrome appears to vary by ethnic group. Gestational diabetes mellitus is considered a component of metabolic syndrome in pregnant women. We investigated whether neck circumference in Han Chinese women is associated with gestational diabetes mellitus in early pregnancy, and determined a predictive demarcation value. MATERIALS AND METHODS A nested case-control study was carried out with 255 women aged 18-35 years. Gestational diabetes mellitus was diagnosed according to the criteria of the American Diabetes Association through a 2-h, 75-g oral glucose tolerance test. RESULTS Of the total population, 41 (16%) women developed gestational diabetes mellitus by 24-28 weeks of gestation. Neck circumference at gestational week 16 positively correlated with pre-pregnancy waist circumference, bodyweight and body mass index, and maternal age (P = 0.029) and hemoglobin A1c at gestational week 24 (P ≤ 0.001). By binary logistic regression, neck circumference was an independent predictor of gestational diabetes mellitus (odds ratio 1.840, 95% confidence interval 1.040-3.254; P = 0.036). According to the receiver operating characteristic curve, for predicting gestational diabetes mellitus the optimal demarcation for neck circumference at gestational week 16 was 35.15 cm. CONCLUSIONS Neck circumference is a viable tool to screen for gestational diabetes mellitus. In this population of pregnant Han Chinese women, a neck circumference of ≥35.15 cm was a predictor of gestational diabetes mellitus.
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Affiliation(s)
- Fang He
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, China
| | - Hua He
- Institute for Viral Hepatitis, Key Laboratory of Molecular Biology for Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Wenqi Liu
- Texas A&M University, College Station, Texas, USA
| | - Junyu Lin
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bingjun Chen
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yucong Lin
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yitao Zhao
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wen Tao
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xuefeng Xia
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory for Major Obstetric Diseases of Guangdong Province, Guangzhou, China.,Houston Methodist Research Institute, Weill Cornell School of Medicine, Houston, Texas, USA
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