Impact of body mass index, metabolic health and weight change on incident diabetes in a Korean population

Jung, Hyun Suk; Chang, Yoosoo; Yun, Kyung Eun; Kim, Chan-Won; Choi, Eun Suk; Kwon, Min Jung; Cho, Juhee; Zhang, Yiyi; Rampal, Sanjay; Zhao, Di; Kim, Hyun Soo; Shin, Hocheol; Güallar, Eliseo; Ryu, Seungho

doi:10.1002/oby.20751

Cited by 41 publications

(39 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the results of our meta-analysis, through the applied dietary interventions, indicated only significantly beneficial association with the TG concentration within the MHO group. However, the inflammatory status in MHO can be reduced [36], partially stemming from more favorable fatty acid profiles [37] compared to MUHO, a significant decrease in hsCRP concentration was not observed in our analysis. As has been highlighted by Karelis et al [38] health status may strongly influence the response to diet.…”

Section: Discussionmentioning

confidence: 77%

Dietary Interventions and Changes in Cardio-Metabolic Parameters in Metabolically Healthy Obese Subjects: A Systematic Review with Meta-Analysis

Stelmach-Mardas

Walkowiak

2016

Nutrients

View full text Add to dashboard Cite

The aim of this systematic review was to assess the effect of diet on changes in parameters describing the body size phenotype of metabolically healthy obese subjects. The databases Medline, Scopus, Web of Knowledge and Embase were searched for clinical studies carried out between 1958 and June 2016 that reported the effect of dietary intervention on BMI, blood pressure, concentration of fasting triglyceride (TG), high density lipoprotein cholesterol (HDL-C), fasting glucose level, the homoeostatic model assessment of insulin resistance (HOMA-IR) and high sensitivity C-Reactive Protein (hsCRP) in metabolically healthy, obese subjects. Twelve clinical studies met inclusion criteria. The combined analyzed population consists of 1827 subjects aged 34.4 to 61.1 with a BMI > 30 kg/m2. Time of intervention ranged from eight to 104 weeks. The baseline characteristics related to lipid profile were more favorable for metabolically healthy obese than for metabolically unhealthy obese. The meta-analyses revealed a significant associations between restricted energy diet and BMI (95% confidence interval (CI): −0.88, −0.19), blood pressure (systolic blood pressure (SBP): −4.73 mmHg; 95% CI: −7.12, −2.33; and diastolic blood pressure (DBP): −2.75 mmHg; 95% CI: −4.30, −1.21) and TG (−0.11 mmol/l; 95% CI: −0.16, −0.06). Changes in fasting glucose, HOMA-IR and hsCRP did not show significant changes. Sufficient evidence was not found to support the use of specific diets in metabolically healthy obese subjects. This analysis suggests that the effect of caloric restriction exerts its effects through a reduction in BMI, blood pressure and triglycerides in metabolically healthy obese (MHO) patients.

show abstract

Section: Discussionmentioning

confidence: 77%

Dietary Interventions and Changes in Cardio-Metabolic Parameters in Metabolically Healthy Obese Subjects: A Systematic Review with Meta-Analysis

Stelmach-Mardas

Walkowiak

2016

Nutrients

View full text Add to dashboard Cite

show abstract

“…Subjects with obesity who are free of cardiometabolic disease risk factors are termed as having "metabolically healthy obesity" (11,12). However, the existence of the metabolically healthy obesity remains controversial, and it has been debated whether individuals with HO are in fact at lower risk for developing future cardiometabolic disease compared with subjects with equal BMI who are metabolically unhealthy (17)(18)(19)(20)(21)(22). For example, Thomsen and Nordestgaard (18) studied 71,527 individuals from the Copenhagen General Population Study with a median of 3.6 years follow-up and concluded that subjects with obesity, whether or not they had metabolic syndrome, had significantly higher risk for myocardial infarction compared with normal-weight individuals.…”

Section: Cardiometabolic Health In People With Homentioning

confidence: 99%

“…However, there has been an escalating debate (17)(18)(19)(20)(21)(22)(23)(24) disputing whether people with metabolically healthy obesity are indeed at low risk and the degree to which uncomplicated obesity places individuals at risk of cardiometabolic disease. Metabolically healthy obesity in these studies routinely included subjects with risk factors and who, therefore, would predictably be relatively insulin resistant (6) and at higher risk than those lacking all manifestations of cardiometabolic disease (10).…”

Section: Introductionmentioning

confidence: 99%

Cardiometabolic disease risk in metabolically healthy and unhealthy obesity: Stability of metabolic health status in adults

Guo

Garvey

2015

Obesity

View full text Add to dashboard Cite

Objective To assess the stability of metabolic status and BMI status, and their relative contribution to risk of diabetes, cardiovascular events, and mortality. Methods 14,685 participants from ARIC, and 4,990 from CARDIA. We defined people with healthy obesity (HO) as meeting all 3 indices of blood pressure, blood glucose, and blood lipids. People with unhealthy obesity crossed the risk threshold for all 3 criteria. Results In both healthy and unhealthy subgroups, risks for CHD, stroke, and mortality were comparable among BMI status during a mean 18.7-year follow-up. When compared with HO, hazard ratios were increased for diabetes (5.56, 95% CI 4.12–7.48), CHD (5.60, CI 3.14–9.98), stroke (4.84, CI 2.13–10.97), and mortality (2.6, CI 1.88–3.61) in people with unhealthy obesity. BMI only moderately increased the risks for diabetes among healthy subjects. In CARDIA over 20 years, 17.5 % of lean subjects and 67.3% of overweight subjects at baseline became obese during follow-up. Despite rising BMI, metabolic status remained relatively stable. Conclusions Metabolic status is relatively stable despite rising BMI. HO had lower risks for diabetes, CHD, stroke, and mortality than unhealthy subjects, but increased diabetes risks than healthy lean people. Cardiometabolic risk factors confer much higher risk than obesity per se.

show abstract

“…Yet, performing a proper health risk assessment can be a complicated and time-consuming process involving calculations and extrapolations from surveys of detailed health examination items [2]. In order to implement workplace health management in various workplaces, it is helpful to develop a simple, standardized and practical general metabolic health [3,4] risk assessment tool for different worksites. The count (from 0 to 5) of metabolic syndrome (MetS) [5,6] components [7][8][9] have been reported to be associated with a wide-range of risks of unfavorable health outcomes including cardiovascular, cerebrovascular diseases [2,[10][11][12] and several malignancies [13,14], of which the risks rise in proportion to the count of MetS components.…”

Section: Introductionmentioning

confidence: 99%

Utilizing the metabolic syndrome component count in workers’ health surveillance: An example of day-time vs. day-night rotating shift workers

Lin¹,

Hsieh²,

Chen³

2015

Int J Occup Med Environ Health

View full text Add to dashboard Cite

Objectives: To establish a practical method for assessing the general metabolic health conditions among different employee groups, this study utilized the total count of metabolic syndrome (MetS) elements as a parameter, and performed a retrospective analysis comparing changes of MetS component count (MSC) of 5 years among day-time work (DW) and day-andnight rotating shift work (RSW) employees. Material and Methods: The data of personal histories, physical examinations, blood tests, abdominal sonographic examinations and occupational records were collected from a cohort of workers in an electronics manufacturing company. We first defined the arithmetic mean value of MSC as MSC density (MSCD) for the employee group; then we compared the changes of MSCD over 5 years between DW and RSW workers. Occupational, personal and health records were analyzed for the 1077 workers with an initial mean age of 32.4 years (standard deviation (SD): 6.2 years), including 565 RSW workers (52%). Results: The initial MSCDs were 1.26 and 1.12 (p = 0.06) for DW and RSW workers, respectively; after 5 years, the increments of MSCD for DW and RSW workers were 0.10 and 0.39, respectively (p < 0.01). By performing multivariate logistic regression analyses, and comparing with DW co-workers, final results indicated that the workers exposed to RSW have 1.7-fold increased risk of elevated MSCD (95% confidence interval (CI): 1.28-2.25, p < 0.01); and are 38% less likely (adjusted rate ratio (aRR) 0.62, 95% CI: 0.45-0.86, p < 0.01) to attain decreased MSCD. Conclusions: These observations demonstrate that changes of MSCD are significantly different between DW and RSW workers, and are increasingly associated with RSW exposure. In conclusion, MSCD can represent the general metabolic health conditions of a given employee group; MSC, MSCD and their transitional changes can be applied as simple and standardized tools for monitoring metabolic health risk profiles when managing employee health, at both the individual and company levels.

show abstract

Impact of body mass index, metabolic health and weight change on incident diabetes in a Korean population

Cited by 41 publications

References 41 publications

Dietary Interventions and Changes in Cardio-Metabolic Parameters in Metabolically Healthy Obese Subjects: A Systematic Review with Meta-Analysis

Dietary Interventions and Changes in Cardio-Metabolic Parameters in Metabolically Healthy Obese Subjects: A Systematic Review with Meta-Analysis

Cardiometabolic disease risk in metabolically healthy and unhealthy obesity: Stability of metabolic health status in adults

Utilizing the metabolic syndrome component count in workers’ health surveillance: An example of day-time vs. day-night rotating shift workers

Contact Info

Product

Resources

About