Body composition patterns among normal glycemic, pre-diabetic, diabetic health Chinese adults in community: NAHSIT 2013–2016

Abstract

Background Central obesity is known to be associated with diabetes. Increasing lower extremity circumference was hypothesized in association with lower risk of diabetes. Objective This study determined which anthropometric patterns correlates the best with pre-diabetic and diabetic status among healthy adults. Design Cross-sectional study with nationwide population sampling of participants was designed. Participants In total, 1,358 ethnic Chinese adult participants were recruited from the Nutrition and Health Survey in Taiwan 2013–2016; the whole-body composition was measured through dual-energy X-ray absorptiometry. Main outcome measures Fat and lean mass in whole and specific parts of body among heathy Asian adults with normal glycemic, pre-diabetic, and diabetic states were measured, separately. Statistical analyses performed The generalized linear model was used to investigate the association between body composition (lean and fat mass) and hyperglycemic status. The reduced rank regression (RRR) was used to confirm the correlation between glycemic status and predicting factors (body composition parameters). Results Trunk fat positively correlated with the fasting glucose level ( r = 0.327, P < 0.001) and HbA1c ( r = 0.329, P < 0.001), whereas limb fat negatively correlated with the fasting glucose level ( r = −0.325, P < 0.001) and HbA1c (ρ = −0.342, P < 0.001), respectively. In RRR analyses, fasting glucose and HbA1c exhibited a high positive association on fat amount per lean mass of the trunk (factor loading = 0.5319 and 0.5599, respectively) and of android area (0.6422 and 0.6104) and a high negative association fat amount per lean mass of the legs (−0.3863 and −0.3083) and gynoid area (−0.3414 and −0.3725). Conclusions For healthy community participants, increasing trunk fat had a greater risk of hyperglycemic status. Increasing lower extremity mass may confer lower risk of diabetes.

Bone and Lean Mass Loss and Cognitive Impairment for Healthy Elder Adults: Analysis of the Nutrition and Health Survey in Taiwan 2013–2016 and a Validation Study With Structural Equation Modeling

“…Additionally, to ensure the representativeness for the total population in Taiwan, the NAHSIT 2013–2016 adopted the stratified sampling design by the characteristics of population density (with consideration of age and sex distribution) and geographical area. The enrollment protocol of the latest NAHSIT 2013–2016 ( 45 ) and the previous NAHSIT 2005–2008 ( 46 ) has been previously published. Consequently, we considered that the representative of the enrolled participants was not threatened.…”

Effects of socioeconomic status on the control of hypertension in patients <65 and ≥65 years of age in Taiwan: a nationwide cross-sectional study

“…The NAHSIT 2013–2016 is a population-based cross-sectional survey of the health and nutritional status of the residents of Taiwan. 10 11 Participants were systemically sampled from among 359 districts and townships nationwide in Taiwan according to population density, geographical area and degree of urbanisation. 10 11 In addition, strata within districts and townships were selected by a method of probability proportional to their size.…”

“… 10 11 Participants were systemically sampled from among 359 districts and townships nationwide in Taiwan according to population density, geographical area and degree of urbanisation. 10 11 In addition, strata within districts and townships were selected by a method of probability proportional to their size. A door-to-door interview survey and physical examination of each household were conducted by trained interviewers.…”

Sex differences in the associations between adiposity distribution and cardiometabolic risk factors in overweight or obese individuals: a cross-sectional study

“…Among the studies explored the associations between DXA-measured fat distribution and cardiometabolic indicators in Chinese population [ 33 – 40 ], participants were children in two studies [ 34 , 40 ], women only in two studies [ 37 , 39 ], and middle-aged women and men with a mean age over 46 years in four studies [ 33 , 35 , 36 , 38 ]. While body composition or fat distribution varies substantially with age [ 41 ], limited studies had examined the associations of adiposity distribution and cardiometabolic risk among Chinese young adults.…”

“…Furthermore, previous work had focused on two to four metabolic syndrome components, whereas the relationship of fat distribution with clustered cardiometabolic risk factors or inflammatory cytokine is not comprehensively demonstrated [ 35 , 36 ]. In the present study, we included a comprehensive profile of cardiometabolic risk factors, which were two lipid indicators (high triglyceride [TG] and low high-density lipids cholesterol [HDL]), two blood pressure (BP) indicators (systolic and diastolic BP), one blood glucose indicator (fasting glucose) and two inflammatory indicators (high sensitivity C-reactive protein, hs-CRP and adiponectin, ADI) respectively.…”