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Observational Study
. 2018 Sep 19;8(9):e021232.
doi: 10.1136/bmjopen-2017-021232.

Sarcopenic obesity associated with high-sensitivity C-reactive protein in age and sex comparison: a two-center study in South Korea

Affiliations
Observational Study

Sarcopenic obesity associated with high-sensitivity C-reactive protein in age and sex comparison: a two-center study in South Korea

Chul-Hyun Park et al. BMJ Open. .

Abstract

Objectives: To evaluate the association between high-sensitivity C-reactive protein (hs-CRP) and sarcopenic obesity, and to determine age or sex differences underlying the relationship between hs-CRP and sarcopenic obesity.

Design: Observational study.

Participants: The study included 237 838 participants whose body composition and hs-CRP were analysed at the two health promotion centres in South Korea. Participants were divided into four groups based on body composition: normal, obesity only, sarcopenia only and sarcopenic obesity.

Primary measures: The levels of hs-CRP and proportion of participants with high (≥1.0 mg/L) hs-CRP. Sarcopenic obesity was defined as subjects fulfilling the criteria for sarcopenia (below 2 SD of mean of Skeletal Muscle Mass Index for young adults) and obesity (waist circumference ≥90 cm for men and ≥85 cm for women).

Results: The level of hs-CRP was highest in the sarcopenic obesity group. Following adjustment for various confounders including age, sex, comorbidities, metabolic, health-related behaviour and demographic factors, the adjusted ORs (95% CI) for subjects with high hs-CRP associated with obesity, sarcopenia and sarcopenic obesity compared with normal group (reference) were 1.17 (1.05 to 1.31), 2.23 (1.21 to 4.07) and 3.23 (2.71 to 3.83), respectively. In age subgroup analyses, multivariate logistic regression analysis revealed that the association of high hs-CRP with sarcopenic obesity was stronger in younger (<60 years) participants than in older (≥60 years) participants (p for interaction <0.001). In subgroup analyses for sex, the association of high hs-CRP with sarcopenic obesity was higher in female participants than in males (p for interaction <0.001).

Conclusions: This study demonstrated that high level of hs-CRP was independently associated with sarcopenic obesity in Korean population. We found for the first time that there was a strong association between increased hs-CRP and sarcopenic obesity in female and younger (<60 years) subjects.

Keywords: high-sensitivity C reactive protein; sarcopenia; sarcopenic obesity.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Comparison of hs-CRP between study groups according to body composition. Adjusted means of hs-CRP in the study groups were estimated from ANCOVA after adjustments for age, sex, comorbidities (HTN, DM, heart disease, stroke), LDL-C, HOMA-IR, ALT, eGFR, health behavioural (smoking, heavy drinking, physical activity, energy intake) and demographic factors (marital status, education level). *Adjusted p<0.001 versus normal group in post hoc analysis. †Adjusted p<0.001 versus obesity only group in post hoc analysis. ‡Adjusted p<0.001 versus sarcopenia only group in post hoc analysis. #Adjusted p<0.001 versus sarcopenic obesity group in post hoc analysis. ANCOVA, analysis of covariance; ALT, alanine aminotransferase; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HOMA-IR, homoeostasis model assessment of insulin resistance; HTN, hypertension; hs-CRP, high-sensitivity C-reactive protein; LDL-C, low-density lipoprotein cholesterol.
Figure 2
Figure 2
*Multivariate-adjusted coefficients (95% CI) for increasing hs-CRP according to groups of body composition (A) in male and female subjects, and (B) in younger (<60 years) and older subjects (≥60 years). The p value for the interaction by sex or age between body composition and increasing hs-CRP was indicated. *Estimated from multivariate general linear models used with natural log (hs-CRP +1) as the outcome. Multivariate model (model 2) was adjusted for sex, comorbidities (HTN, DM, heart disease, stroke), LDL-C, HOMA-IR, ALT, eGFR, health behavioural (smoking, heavy drinking, physical activity, energy intake) and demographic factors (marital status, education level). ALT, alanine aminotransferase; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HOMA-IR, homoeostasis model assessment of insulin resistance; HTN, hypertension; hs-CRP, high-sensitivity C-reactive protein; LDL-C, low-density lipoprotein cholesterol.

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