Table 1 Main characteristics of the included studies involving neck circumference and the risk of diabetes mellitus
From: Association between neck circumference and diabetes mellitus: a systematic review and meta-analysis
Author | Year | Disease | Country (state) | Study design | Age (years) | Simple size | Cutoff point (cm) | Adjustment | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
Total | Case | Male | Female | ||||||||
Sarah Rosner Preis et al. | 2010 | T2DM | USA (North America) | Cross-sectional | 49.8 ± 10.7 (M) 52.1 ± 9.9 (F) | 3307 | 193 | 1718 | 1589 | NR | gender, BMI, waist, age, smoking, alcohol, menopausal status, and hormone replacement therapy use |
Nam H. Cho et al. | 2015 | T2DM | Korea (Asia) | Cohort | 49.8 ± 7.1(M) 50.6 ± 7.6 (F) | 2623 | 632 | NR | NR | NR | age, gender, BMI, family history of DM |
Mykolay Khalangot et al. | 2016 | T2DM | Ukraine (Europe) | Cross-sectional | ≥ 44 | 196 | 54 | 46 | 150 | 38.5 (M) 36.5 (F) | gender, BMI |
Aline Marcadenti et al. | 2017 | T2DM | Brazil (South America) | Cross-sectional | 18–80 | 430 | 142 | 145 | 285 | NR | age, physical activity, smoking and BMI |
Yavor Assyov et al. | 2017 | T2DM | Bulgaria (Europe) | Cross-sectional | 49 ± 12 | 255 | 29 | 102 | 153 | 38 (M) 35 (F) | gender |
Mingkuo Ting et al. | 2018 | T2DM | China (Asia) | Cohort | 51.1 ± 11.9 | 8450 | 2068 | 4431 | 4019 | NR | age, sex, education, marital status, occupation, betel nut chewing, and hypertension history, waist width, left thigh circumference, right upper arm circumference |
Aléxei Volaco et al. | 2018 | T2DM | Brazil (South America) | Cross-sectional | 46.5 ± 18.6 (M) 47.4 ± 17.6 (F) | 950 | 170 | 329 | 621 | 39.5 (M) 34.5 (F) | gender, education, race, smoking, excessive alcohol consumption |
Wenning Fu et al. | 2019 | T2DM | China (Asia) | Cross-sectional | 56.0 ± 9.8 | 4000 | 387 | 1605 | 2395 | 36.6 (M) 33.40 (F) | age, sex, smoking, drinking and education |
Qun Yan et al. | 2021 | T2DM | China (Asia) | Cohort | 71.0 ± 5.8 | 2646 | 219 | 1288 | 1358 | NR | age, exercise, current smoking, alcohol use, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, triglycerides, total cholesterol, alanine aminotransferase |
Fang He et al. | 2017 | GDM | China (Asia) | Case-control | 29.1 ± 3.7 | 255 | 41 | NA | 255 | NR | hemoglobin A1c, 1-h glucose, 2-h glucose, waist circumference, fasting blood glucose |
Ping Li et al. | 2018 | GDM | China (Asia) | Cross-sectional | 30 (27–32) | 371 | 97 | NA | 371 | 33.8 | BMI, maternal age, gravidity and parity |
Lilian C Mendoza et al. | 2018 | GDM | Spain, Austria, Belgium, Denmark, Poland, Italy, Ireland, The Netherlands, The United Kingdom (Europe) | Cross-sectional | 32.1 ± 5.3 | 971 | 425 | NA | 971 | NR | maternal age, ethnicity, education, marital status, working status, obstetric history, BMI |
Necati Hancerliogullari et al. | 2020 | GDM | Turkey (Asia) | Cohort | 31 (19–41) (GDM); 27 (18–44) (control) | 525 | 49 | NA | 525 | 38.5 | age, gravidity, parity, BMI |
Tahoora Sedighi Barforoush et al. | 2021 | GDM | Iran (Asia) | Cohort | 28.1 ± 4.4 | 372 | 74 | NA | 372 | 34.3 | age, BMI, fasting blood glucose |
Azam Ghorbani er al. | 2022 | GDM | Iran (Asia) | Cohort | 29.78 ± 4.91 | 676 | 110 | NA | 676 | 33.5 | age, gravid, BMI, waist circumference |
Camila Rodrigues de Souza Carvalho et al. | 2022 | GDM | Brazil (South America) | Cohort | 32(6) (GDM); 28(6) (without GDM) | 372 | 74 | NA | 372 | 34.5 | age, physical activity, education, and familiar history of diabetes |