New BMI Cut-Off Points for Obesity in Middle-Aged and Older Adults in Clinical Nutrition Settings in Italy: A Cross-Sectional Study

Renzo, Laura Di; Itani, Leila; Gualtieri, Paola; Pellegrini, Massimo; Ghoch, Marwan El; Lorenzo, Antonino De

doi:10.3390/nu14224848

Cited by 14 publications

(12 citation statements)

References 37 publications

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“…Obesity is typically identified by body mass index (BMI), despite the BMI’s limitation in quantifying body adiposity. When we assess our female cohort by %BF, we found that they score obesity cut-offs by BMI and %BF [ 28 ]. Our study found that postmenopausal women had significantly higher BMI, %BF, and FMI than premenopausal women, which can be attributed to the hormonal changes associated with menopause [ 29 ].…”

Section: Discussionmentioning

confidence: 99%

High-Risk Lipoprotein(a) Levels in Saudi Women and Its Relationship to Menopause and Adiposity

2023

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Lipoprotein(a) is an inherent CVD risk biomarker that varies by race, and the levels of Lp(a) in Saudi women are relatively unexplored. We aimed to examine the effect of age and menopause on Lp(a) and explore the correlation between adiposity and cardiometabolic risk factors with Lp(a) in Saudi women. The third aim was to determine the predictors of elevated Lp(a) in this population. In this cross-sectional study of 229 women, we compared Lp(a) serum levels, adiposity indices, and lipid and glycemic profiles between menopausal groups. We used immunoturbidimetry to measure serum Lp(a) and BIA to assess body composition. We evaluated the relationship between Lp(a) and our parameters using ANOVA and Spearman’s correlations. Regression was used to determine the predictors of high-risk Lp(a) levels. The mean of Lp(a) was 28.37 mg/dL, and the concentration increased significantly in postmenopausal (premenopausal 20.98 ± 12.30; perimenopausal 29.92 ± 9.53; postmenopausal 32.49 ± 9.83 mg/dL; p < 0.001. High-risk levels were 57.1% in postmenopausal and 19.1% in premenopausal. The magnitude of Lp(a) increased significantly after age 50. Lp(a) was significantly associated with age and cholesterol and negatively associated with % FFM. Lp(a) increased by 0.41 units for every year of age, indicating the strongest correlation.

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Section: Discussionmentioning

confidence: 99%

High-Risk Lipoprotein(a) Levels in Saudi Women and Its Relationship to Menopause and Adiposity

2023

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“…Finally, we set the upper limits of fatty mass (FM) for defining obesity as FM > 25% in males and >35% in females with age <60 years, and with FM > 30% in males and >42% in females with age >60 years. These values correspond to a BMI of 30 kg/m 2 in Caucasians [ 22 , 23 ] and they were defined as High% FM.…”

Section: Methodsmentioning

confidence: 99%

Diagnosis, Prevalence and Significance of Obesity in a Cohort of CKD Patients

et al. 2023

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Background: data regarding the association between obesity and morbidity/mortality in patients with chronic kidney disease (CKD) are uncertain and sometimes contradictory. The aims of our study were to determine the associations among different measures of obesity and adiposity, and the risk of all-cause mortality or dialysis entry in stage 3–5 CKD patients. Materials: this observational cohort study included 178 CKD patients followed for a median of 71 months. Biochemistry, anthropometric measures such as body mass index (BMI), waist-to-hip ratio, mid-arm muscle circumference (MAMC) and body composition by bioimpedance analysis were evaluated. Results: we found a weak agreement between BMI and other measures of adiposity. In multivariable regression analysis, all measures of obesity such as BMI, waist circumference and waist-to-height ratio were not associated with dialysis entry and/or mortality. Instead, MAMC was associated with dialysis entry HR 0.82 [95%, CI: 0.75–0.89] and high FM% with mortality HR 2.08 [95%, CI: 1.04–4.18]. Conclusions: in our CKD population, lower MAMC was predictive of dialysis commencing, while a higher percentage of fatty mass was a predictor of mortality. Instead, obesity, as defined by BMI, is not associated with dialysis commencing or all-cause mortality.

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“…The study is a single-center observational study. Subjects were pooled from a cohort, previously admitted to the Nutritional Unit at the Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy during the period June 2018-May 2022, as described elsewhere [23]. The inclusion criteria were (i) an age ≥ 20 years and (ii) a normal body weight status, according to the WHO BMI cut-off points, ≥18.5 kg/m 2 and ≤24.9 kg/m 2 .…”

Section: Participants and Design Of The Studymentioning

confidence: 99%

“…As described previously [23], a DXA scanner (DXA, GE Medical Systems) was used to determine body composition, which assessed both total and segmental compartments in terms of fat and lean mass, according to a standardized procedure, as described elsewhere [28]. The risk of sarcopenia was defined as appendicular skeletal muscle mass (ASM) (kg), adjusted for body weight (kg) (ASM/weight) [29][30][31].…”

Section: Body Compositionmentioning

confidence: 99%

The Risk of Sarcopenia among Adults with Normal-Weight Obesity in a Nutritional Management Setting

et al. 2022

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Normal-weight obesity (NWO) is a phenotype characterized by excessive body fat (BF) despite normal body weight. We aimed to assess the association between NWO and the risk of sarcopenia. Two groups of patients with a normal body mass index [BMI (20–24.9 kg/m2)] were selected from a large cohort of participants. Body composition was measured using dual-energy X-ray absorptiometry (DXA), and 748 participants were categorized as NWO or normal-weight without obesity (NWNO) and were classed according to whether or not they were at risk of sarcopenia. The “NWO group” included 374 participants (cases), compared to 374 participants (controls) in the “NWNO group”, all of a similar BMI, age and gender. The participants in the “NWO group” displayed a higher prevalence of the risk of sarcopenia than the control group across both genders (0.6% vs. 14.1% in males; 1.4% vs. 36.5% in females). Regression analysis showed that being in the NWO category increased the risk of sarcopenia 22-fold in males (RR = 22.27; 95%CI: 3.35–147.98) and 25-fold in females (RR = 25.22; 95%CI: 8.12–78.36), compared to those in the NWNO category. In a “real-world” nutritional setting, the assessment of body composition to identify NWO syndrome is vital since it is also associated with a higher risk of sarcopenia.

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New BMI Cut-Off Points for Obesity in Middle-Aged and Older Adults in Clinical Nutrition Settings in Italy: A Cross-Sectional Study

Cited by 14 publications

References 37 publications

High-Risk Lipoprotein(a) Levels in Saudi Women and Its Relationship to Menopause and Adiposity

High-Risk Lipoprotein(a) Levels in Saudi Women and Its Relationship to Menopause and Adiposity

Diagnosis, Prevalence and Significance of Obesity in a Cohort of CKD Patients

The Risk of Sarcopenia among Adults with Normal-Weight Obesity in a Nutritional Management Setting

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