Cargando…
Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey
AIMS: To examine longitudinal associations of obesity profiles, continuous BMI, and waist circumference (WC) with the risk of type 2 diabetes in Chinese adults. METHODS: Data were derived from three waves (2009, 2015, and 2018) of the China Health and Nutrition Survey, and 3,595 adults aged 18–65 ye...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513418/ https://www.ncbi.nlm.nih.gov/pubmed/36176634 http://dx.doi.org/10.3389/fnut.2022.922824 |
_version_ | 1784798058419060736 |
---|---|
author | Zhang, Siting Li, Weiyi Jia, Xiaofang Zhang, Jiguo Jiang, Hongru Wang, Liusen Wang, Huijun Zhang, Bing Wang, Zhihong Ding, Gangqiang |
author_facet | Zhang, Siting Li, Weiyi Jia, Xiaofang Zhang, Jiguo Jiang, Hongru Wang, Liusen Wang, Huijun Zhang, Bing Wang, Zhihong Ding, Gangqiang |
author_sort | Zhang, Siting |
collection | PubMed |
description | AIMS: To examine longitudinal associations of obesity profiles, continuous BMI, and waist circumference (WC) with the risk of type 2 diabetes in Chinese adults. METHODS: Data were derived from three waves (2009, 2015, and 2018) of the China Health and Nutrition Survey, and 3,595 adults aged 18–65 years who participated in at least two waves of the survey and had completed data were analyzed. Obesity profiles included BMI- or WC-related single obesity and combined obesity. Combined obesity was categorized into six groups including Group 1 with normal BMI and WC, Group 2 with normal BMI but pre-abdominal obesity, Group 3 with normal BMI but abdominal obesity, Group 4 with abnormal BMI (overweight and general obesity) and normal WC, Group 5 with abnormal BMI and pre-abdominal obesity, and Group 6 with abnormal BMI and abdominal obesity. Three-level mixed-effects logistic regressions with random intercept stratified by gender and restricted cubic splines were performed to examine ORs and 95%CIs for the risk of type 2 diabetes. RESULTS: In men, compared with subjects of Group 1, those in Group 3 had higher risk, with an OR of 4.83 (95% CI: 1.99–11.74), followed by those in Group 6 (OR = 4.05, 95%CI: 2.32–7.08) and Group 5 (OR = 2.98, 95%CI: 1.51–5.87) after adjusting for all potential confounders. For women, the subject of Group 6 had highest risk (OR = 8.79, 95%CI: 4.04–19.12), followed by Group 3 (OR = 3.30, 95%CI: 1.23–8.86) and Group 5 (OR = 3.16, 95%CI: 1.21–8.26). No significant association between abnormal BMI and normal WC (Group 4) was observed in both genders. Type 2 diabetes risk increased steeply at BMI of 23.5 kg/m(2) and 22.5 kg/m(2) or higher, and WC of 82.0 cm and 83.0 cm or higher in Chinese adult men and women, respectively (p for overall <0.001). CONCLUSION: Chinese adults with pre-abdominal or abdominal obesity had a relative high risk of type 2 diabetes independent of BMI levels. Lower BMI (≤23.5 kg/m(2) for men and ≤22.5 kg/m(2) for women) and lower WC (82.0 cm for men and ≤83.0 cm for women) values than the current Chinese obesity cut-offs were found to predict the risk of type 2 diabetes. These findings urge to inform WC modification and optimization of early screening guidelines. |
format | Online Article Text |
id | pubmed-9513418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95134182022-09-28 Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey Zhang, Siting Li, Weiyi Jia, Xiaofang Zhang, Jiguo Jiang, Hongru Wang, Liusen Wang, Huijun Zhang, Bing Wang, Zhihong Ding, Gangqiang Front Nutr Nutrition AIMS: To examine longitudinal associations of obesity profiles, continuous BMI, and waist circumference (WC) with the risk of type 2 diabetes in Chinese adults. METHODS: Data were derived from three waves (2009, 2015, and 2018) of the China Health and Nutrition Survey, and 3,595 adults aged 18–65 years who participated in at least two waves of the survey and had completed data were analyzed. Obesity profiles included BMI- or WC-related single obesity and combined obesity. Combined obesity was categorized into six groups including Group 1 with normal BMI and WC, Group 2 with normal BMI but pre-abdominal obesity, Group 3 with normal BMI but abdominal obesity, Group 4 with abnormal BMI (overweight and general obesity) and normal WC, Group 5 with abnormal BMI and pre-abdominal obesity, and Group 6 with abnormal BMI and abdominal obesity. Three-level mixed-effects logistic regressions with random intercept stratified by gender and restricted cubic splines were performed to examine ORs and 95%CIs for the risk of type 2 diabetes. RESULTS: In men, compared with subjects of Group 1, those in Group 3 had higher risk, with an OR of 4.83 (95% CI: 1.99–11.74), followed by those in Group 6 (OR = 4.05, 95%CI: 2.32–7.08) and Group 5 (OR = 2.98, 95%CI: 1.51–5.87) after adjusting for all potential confounders. For women, the subject of Group 6 had highest risk (OR = 8.79, 95%CI: 4.04–19.12), followed by Group 3 (OR = 3.30, 95%CI: 1.23–8.86) and Group 5 (OR = 3.16, 95%CI: 1.21–8.26). No significant association between abnormal BMI and normal WC (Group 4) was observed in both genders. Type 2 diabetes risk increased steeply at BMI of 23.5 kg/m(2) and 22.5 kg/m(2) or higher, and WC of 82.0 cm and 83.0 cm or higher in Chinese adult men and women, respectively (p for overall <0.001). CONCLUSION: Chinese adults with pre-abdominal or abdominal obesity had a relative high risk of type 2 diabetes independent of BMI levels. Lower BMI (≤23.5 kg/m(2) for men and ≤22.5 kg/m(2) for women) and lower WC (82.0 cm for men and ≤83.0 cm for women) values than the current Chinese obesity cut-offs were found to predict the risk of type 2 diabetes. These findings urge to inform WC modification and optimization of early screening guidelines. Frontiers Media S.A. 2022-09-13 /pmc/articles/PMC9513418/ /pubmed/36176634 http://dx.doi.org/10.3389/fnut.2022.922824 Text en Copyright © 2022 Zhang, Li, Jia, Zhang, Jiang, Wang, Wang, Zhang, Wang and Ding. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Zhang, Siting Li, Weiyi Jia, Xiaofang Zhang, Jiguo Jiang, Hongru Wang, Liusen Wang, Huijun Zhang, Bing Wang, Zhihong Ding, Gangqiang Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey |
title | Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey |
title_full | Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey |
title_fullStr | Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey |
title_full_unstemmed | Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey |
title_short | Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey |
title_sort | association of obesity profiles with type 2 diabetes in chinese adults: findings from the china health and nutrition survey |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513418/ https://www.ncbi.nlm.nih.gov/pubmed/36176634 http://dx.doi.org/10.3389/fnut.2022.922824 |
work_keys_str_mv | AT zhangsiting associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT liweiyi associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT jiaxiaofang associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT zhangjiguo associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT jianghongru associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT wangliusen associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT wanghuijun associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT zhangbing associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT wangzhihong associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey AT dinggangqiang associationofobesityprofileswithtype2diabetesinchineseadultsfindingsfromthechinahealthandnutritionsurvey |