The association between muscle-to-fat ratio and cardiometabolic risks: The China National Health Survey

Impact of Early Life Famine Exposure on Body Composition and Metabolic Profiles in Adulthood

The relationship between the famine and metabolic syndrome has been reported, but there is a lack of more detailed changes in metabolic profiles. It is unclear how famine affects body composition. This study included 21,142 participants from the China National Health Survey. The body mass index (BMI), fat mass index (FMI), and fat-free mass index (FFMI) were calculated. Systolic blood pressure (SBP), diastolic blood pressure (DBP), blood lipids, and fasting blood glucose (FBG) were measured. Multivariate adjusted linear regression models were used to assess the association between famine and outcome. Our results shown that fetal-exposed group had higher BMI and FMI (β > 0). Childhood-exposed group showed an average decrease of 0.08 standard deviation (SD) in FFMI, and adolescence-exposed group had lower BMI and FFMI than non-exposed group. SBP were 0.38 SD higher in fetal-exposed group, 0.58 SD higher in childhood-exposed group and 0.85 SD higher in adolescence-exposed group than non-exposed group. Famine-exposed groups had higher total cholesterol (TC), low density lipoprotein-cholesterol (LDL-C), and FBG levels (β > 0). For females with famine exposure, they had a higher BMI, FMI, LDL-C, TG, and TC than males. Overall, early famine exposure is associated with increased blood pressure, LDL-C, TC, and FBG. Muscle mass loss in adulthood associated with childhood and adolescence famine exposure. Famine-exposed females appear to have higher levels of body fat and blood lipids.

ALM adjusted by BMI or weight predicts adverse health outcomes in middle-aged and elderly patients with type 2 diabetes

The role of skeletal muscle in the prognosis of patients with Type 2 Diabetes Mellitus (T2DM) remains unclear. This study aimed to systematically evaluate the impact of different muscle-mass adjustment standards on adverse health outcomes in middle-aged and elderly T2DM patients. Retrospective cohort study. A total of 1,818 T2DM patients aged 50 years or older were included in this study. The cohort comprised 45.7% females, with a median age of 63 years. Variables closely correlated with total lean mass (TLM) and appendicular lean mass (ALM) were selected as adjustment indicators. The primary composite endpoints were all-cause mortality, cardiovascular disease (CVD), and fragility fractures. Cox proportional hazards models were used to estimate the risk associated with each indicator, and phenotypic characteristics of high-risk patients were evaluated. During a median follow-up of 63 months, 436 patients reached the primary endpoint. ALM/BMI and ALM/weight were negatively correlated with adverse outcomes in both sexes, even after adjusting for confounding factors (males: ALM/BMI (hazard ratio [HR] = 0.998, 95% confidence interval [CI] = 0.996-0.999, P = 0.005) and ALM/weight (HR = 0.924, 95% CI = 0.864-0.987, P = 0.020); females: ALM/BMI (HR = 0.998, 95% CI = 0.996-1.000, P = 0.030) and ALM/weight (HR = 0.917, 95% CI = 0.860-0.978, P = 0.008), respectively). Individuals with lower ALM/BMI and ALM/weight have poorer metabolic status, greater fat accumulation, more complications, and a lower muscle-to-fat ratio. Our findings demonstrate that both ALM/BMI and ALM/weight can predict adverse health outcomes, suggesting their potential as practical, clinically relevant markers for sarcopenia in T2DM.

Sex-specific associations between total and regional Fat-to-muscle Mass ratio and cardiometabolic risk: findings from the China National Health Survey

BACKGROUND

The fat-to-muscle mass ratio (FMR), integrating the antagonistic effects of fat and muscle mass, has been suggested as a valuable indicator to assess cardiometabolic health independent of overall adiposity. However, the specific associations of total and regional FMR with cardiometabolic risk are poorly understood. We aimed to examine sex-specific associations of total and regional FMR with single and clustered cardiometabolic risk factors (CRFs).

METHODS

13,505 participants aged 20 years and above were included in the cross-sectional study. Fat mass and muscle mass were assessed using a bioelectrical impedance analysis device. FMR was estimated as fat mass divided by muscle mass in corresponding body parts (whole body, arm, leg, and trunk). Clustered CRFs was defined as the presence of two or more risk factors, including hypertension, elevated blood glucose, dyslipidemia, insulin resistance (IR), and hyperuricemia. IR was assessed by the triglyceride glucose (TyG) index. Multivariable logistic regression models were applied to explore the associations of FMR in the whole body and body parts with single and clustered CRFs.

RESULTS

The odds ratios (ORs) increased significantly for all single and clustered CRFs with the per quartile increase of total and regional FMR in both sexes (P for trend < 0.001), following adjustment for confounders. Among the regional parts, FMRs of the legs presented the strongest associations for clustered CRFs in both men and women, with adjusted OR of 8.54 (95% confidence interval (CI): 7.12-10.24) and 4.92 (95% CI: 4.24-5.71), respectively. Significant interactions (P for interaction < 0.05) were identified between age and FMRs across different body parts, as well as between BMI status and FMRs in different regions for clustered CRFs. Restricted cubic splines revealed significant non-linear relationships between FMRs of different body parts and clustered CRFs in both sexes (P for nonlinear < 0.05).

CONCLUSIONS

FMRs in the whole body and different regions were significantly associated with single and clustered CRFs in the general Chinese population. The association between FMR and clustered CRFs was more pronounced in youngers than in the elderly.

L-shaped association between lean body mass to visceral fat mass ratio with hyperuricemia: a cross-sectional study

BACKGROUND

Insufficient attention has been given to examining the correlation between body composition and hyperuricemia, leading to inconsistent findings. The primary objective of this research is to explore the association between lean body mass index (LMI), visceral fat mass index (VFMI), and hyperuricemia. A specific emphasis will be placed on assessing the link between the ratio of lean body mass to visceral fat mass (LMI/VFMI) and hyperuricemia.

METHODS

The present study employed a cross-sectional design and involved a total of 9,646 individuals who participated in the National Health and Nutrition Examination Survey (NHANES). To explore the associations among the variables, logistic and linear regressions were employed. Additionally, subgroup analyses and sensitivity analyses were conducted based on various characteristics.

RESULTS

The results showed that LMI was positively associated with hyperuricemia (for Per-SD: OR = 1.88, 95%CI: 1.75, 2.01; for quartiles [Q4:Q1]: OR = 5.37, 95%CI: 4.31, 6.69). Meanwhile, VFMI showed a positive association with hyperuricemia (for Per-SD: OR = 2.02, 95%CI: 1.88, 2.16; for quartiles [Q4:Q1]: OR =8.37, 95%CI: 6.70, 10.47). When considering the effects of In LMI/VFMI, an L-shaped negative association with hyperuricemia was observed (for Per-SD: OR = 0.45, 95%CI: 0.42, 0.49; for quartiles [Q4:Q1]: OR = 0.16, 95%CI: 0.13, 0.20). Subgroup and sensitivity analyses demonstrated the robustness of this association across different subgroups. Additionally, the segmented regression analysis indicated a saturation effect of 5.64 for the In LMI/VFMI with hyperuricemia (OR = 0.20, 95%CI: 0.17, 0.24). For every 2.72-fold increase of In LMI/VFMI, the risk of hyperuricemia was reduced by 80%.

CONCLUSION

The LMI/VFMI ratio is non-linearly associated with serum uric acid. Whether this association is causal needs to be confirmed in further longitudinal studies or Mendelian randomization.