BACKGROUND: The associations between adiposity and metabolic risk factors have been suggested to vary across ethnicities. Studies in Caucasians have shown that after adjusting for waist circumference and body mass index (BMI), a larger hip circumference may be protective for metabolic risk factors. To our knowledge, these associations have never been examined in a Chinese population. METHODS: Baseline (1987-1988) and follow-up (1993-1994) data were from the People's Republic of China Study (n = 1,144 men, n = 1,776 women). Logistic models were stratified by sex and adjusted for age, smoking, center, and education. Incidence differences (ID) comparing the sex specific 85(th) percentile to the 15(th) percentile of hip circumference were computed for elevated blood pressure, blood glucose and triglycerides, low high-density lipoprotein cholesterol (HDL-C), and multiple metabolic abnormalities (three or more of the aforementioned). RESULTS: In models adjusted for waist circumference and BMI, the ID [95% confidence interval (CI)] per 1,000 persons associated with a 12-cm larger hip were -132 (-237, -26) for low HDL-C; -85 (-138, -31) for elevated triglycerides; and -49 (-83, -4) for multiple metabolic abnormalities. In males, a larger hip circumference was not associated with a reduction of incident risk factors, although the ID tended to be negative. CONCLUSIONS: In Chinese women, greater mass in the lower trunk region was inversely associated with incident high triglycerides, low HDL-C, and multiple metabolic abnormalities when adjusted for general and central adiposity. This association was not detected in men. Additional research is needed to better understand the mechanisms by which fat at different depots results in differential risk.
BACKGROUND: The associations between adiposity and metabolic risk factors have been suggested to vary across ethnicities. Studies in Caucasians have shown that after adjusting for waist circumference and body mass index (BMI), a larger hip circumference may be protective for metabolic risk factors. To our knowledge, these associations have never been examined in a Chinese population. METHODS: Baseline (1987-1988) and follow-up (1993-1994) data were from the People's Republic of China Study (n = 1,144 men, n = 1,776 women). Logistic models were stratified by sex and adjusted for age, smoking, center, and education. Incidence differences (ID) comparing the sex specific 85(th) percentile to the 15(th) percentile of hip circumference were computed for elevated blood pressure, blood glucose and triglycerides, low high-density lipoprotein cholesterol (HDL-C), and multiple metabolic abnormalities (three or more of the aforementioned). RESULTS: In models adjusted for waist circumference and BMI, the ID [95% confidence interval (CI)] per 1,000 persons associated with a 12-cm larger hip were -132 (-237, -26) for low HDL-C; -85 (-138, -31) for elevated triglycerides; and -49 (-83, -4) for multiple metabolic abnormalities. In males, a larger hip circumference was not associated with a reduction of incident risk factors, although the ID tended to be negative. CONCLUSIONS: In Chinese women, greater mass in the lower trunk region was inversely associated with incident high triglycerides, low HDL-C, and multiple metabolic abnormalities when adjusted for general and central adiposity. This association was not detected in men. Additional research is needed to better understand the mechanisms by which fat at different depots results in differential risk.
Authors: Marieke B Snijder; Jacqueline M Dekker; Marjolein Visser; Lex M Bouter; Coen D A Stehouwer; Piet J Kostense; John S Yudkin; Robert J Heine; Giel Nijpels; Jacob C Seidell Journal: Am J Clin Nutr Date: 2003-05 Impact factor: 7.045
Authors: Marieke B Snijder; Jacqueline M Dekker; Marjolein Visser; Lex M Bouter; Coen D A Stehouwer; John S Yudkin; Robert J Heine; Giel Nijpels; Jacob C Seidell Journal: Diabetes Care Date: 2004-02 Impact factor: 19.112
Authors: Marieke B Snijder; Jacqueline M Dekker; Marjolein Visser; John S Yudkin; Coen D A Stehouwer; Lex M Bouter; Robert J Heine; Giel Nijpels; Jacob C Seidell Journal: Obes Res Date: 2003-01
Authors: J de Toro-Martín; F Guénard; A Tchernof; Y Deshaies; L Pérusse; S Biron; O Lescelleur; L Biertho; S Marceau; M-C Vohl Journal: Obes Sci Pract Date: 2016-10-21
Authors: José M Furtado; Sílvia M Almeida; Paulo Mascarenhas; Maria E Ferraz; José C Ferreira; Manuel Vilanova; Mariana P Monteiro; Fernando P Ferraz Journal: PLoS One Date: 2018-06-01 Impact factor: 3.240
Authors: Benson M Hamooya; Lloyd B Mulenga; Sepiso K Masenga; Isaac Fwemba; Lameck Chirwa; Mpanji Siwingwa; Hikabasa Halwiindi; John R Koethe; Loren Lipworth; Douglas C Heimburger; Patrick Musonda; Wilbroad Mutale Journal: Medicine (Baltimore) Date: 2021-04-09 Impact factor: 1.817
Authors: Mohammed S Obsa; Getu Ataro; Nefsu Awoke; Bedru Jemal; Tamiru Tilahun; Nugusu Ayalew; Beshada Z Woldegeorgis; Gedion A Azeze; Yusuf Haji Journal: Front Cardiovasc Med Date: 2022-02-23