The site of waist measurement impacts the estimation of visceral fat: results from three-dimensional photonic body scanning

Associations between waist circumference and nocturia in adults: National health and nutrition examination survey 2005-2020

BACKGROUND

The relationship between waist circumference and nocturia has not been previously studied. This study investigated the association between waist circumference and the occurrence of nocturia in adults.

METHODS

We analyzed data from the National Health and Nutrition Examination Survey covering 2005-2020, encompassing 6287 adults aged ≥20. Nocturia was defined as the need to urinate two or more times during the night. First, we compared baseline characteristics between the nocturia and non-nocturia groups. Subsequently, we used multivariate logistic regression analysis to investigate the relationship between waist circumference and nocturia prevalence. We also employed restricted cubic spline analysis to study the potential nonlinear correlation between waist circumference and the prevalence of nocturia. Recognizing the baseline data's heterogeneity based on nocturia prevalence, we conducted subgroup analyses according to age, sex, body mass index (BMI), and ethnicity.

RESULTS

Our findings indicated that females, individuals aged ≥50, citizens, Non-Hispanic Black, those with lower education levels (high school or less), higher BMIs, lower family income-to-poverty ratios, higher waist circumference, hypertension, and diabetes were more likely to experience nocturia. Compared with individuals in the lowest waist circumference quartile (Q1), those in the higher quartiles (Q4) exhibited an increased risk of nocturia in Model 1 (Q4, OR:2.00, 95% CI:1.64, 2.45, p < 0.0001). These results remained consistent after adjusting for covariates in models 2 and 3. A restricted cubic spline analysis suggested a linear association between waist circumference and nocturia (P for nonlinearity = 0.066). Subgroup analyses based on age, sex, BMI, and ethnicity revealed no significant differences in the interaction tests between waist circumference and nocturia (P for interaction = 0.437, 0.331, 0.121, and 0.889, respectively), indicating that these baseline characteristics did not influence the association.

CONCLUSIONS

Our findings indicated an association between increased waist circumference and a higher prevalence of nocturia. Knowledge of this association reinforces the importance of lifestyle modifications in maintaining a healthy waist circumference and informs public health strategies to address other potential risk factors for nocturia.

Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study

BACKGROUND

Low relative fat free mass (FFM) is associated with a greater risk of chronic diseases and mortality. Unfortunately, FFM is currently not being measured regularly to allow for individuals therapy.

OBJECTIVE

One reason why FFM is not being used may be related to additional equipment and resources, thus we aimed to identify easily accessible anthropometric markers related with FFM.

MATERIALS AND METHODS

We analyzed data of 1,593 individuals (784 women; 49.2%, age range 28-88 years) enrolled in the population-based Study of Health in Pomerania (SHIP-TREND 1). Forty-seven anthropometric markers were derived from a 3D optical body-scanner. FFM was assessed by bioelectrical impedance analysis (FFMBIA) or air displacement plethysmography (FFMADP). In sex-stratified linear regression models, FFM was regressed on anthropometric measurements adjusted for body height and age. Anthropometric markers were ranked according to the coefficient of determination (R2) derived from these regression models.

RESULTS

Circumferences of high hip, belly, middle hip, waist and high waist showed the strongest inverse associations with FFM. These relations were stronger in females than in males. Associations of anthropometric markers with FFMAPD were greater compared to FFMBIA.

CONCLUSION

Anthropometric measures were more strongly associated with FFMADP compared to FFMBIA. Anthropometric markers like circumferences of the high or middle hip, belly or waist may be appropriate surrogates for FFM to aid in individualized therapy. Given that the identified markers are representative of visceral adipose tissue, the connection between whole body strength as surrogate for FFM and fat mass should be explored in more detail.