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Background: Body fat distribution influences the risk of cardio-metabolic disease in people with overweight. This study was aimed at identifying the anthropometric parameters more strongly associated with the majority of cardio-metabolic risk factors., Methods: This study included 1214 subjects (840 women), with a body-mass-index (BMI) ≥ 25 Kg/m2, aged 39.2 ± 13 years. Fasting blood glucose (FBG), triglycerides (TG), total, HDL- and LDL-cholesterol, uric acid, vitamin D, high-sensitive C-reactive protein (hs-CRP), white blood cells (WBC), platelets, insulin and insulin resistance (HOMA-IR), systolic (SBP) and diastolic blood pressure (DBP), smoking habit and snoring were evaluated as cardio-metabolic risk factors.We also included the Systematic COronary Risk Evaluation (SCORE) to estimate cardiovascular risk in our study population. BMI, waist circumference (WC), waist-to-height-ratio (WHtR) and neck circumference (NC) were evaluated as anthropometric parameters., Results: All four anthropometric parameters were positively associated to SBP, DBP, TG, FBG, insulin, HOMA-IR, WBC, and snoring (p<0.001), and negatively associated with HDL-cholesterol (p<0.001). NC showed a positive association with LDL-cholesterol (β = 0.76; p = 0.01; 95% C.I. 0.19 to 1.32), while vitamin D was negatively associated to WC (β = -0.16; p<0.001; 95% C.I. -0.24 to -0.09), BMI (β = 0.42); p<0.001; 95% C.I. -0.56 to -0.28) and WHtR (β = -24.46; p<0.001; 95% C.I. -37 to -11.9). Hs-CRP was positively correlated with WC (β = 0.003; p = 0.003; 95% C.I. 0.001 to 0.006), BMI (β = 0.01; p = 0.02; 95% C.I. 0.001 to 0.012) and WHtR (β = 0.55; p = 0.01; 95% C.I. 0.14 to 0.96). SCORE was associated to NC (β = 0.15; 95% CI 0.12 to 0.18; p<0.001), BMI (β = -0.18; 95% CI -0.22 to 0.14; p<0.001) and WHtR (β = 7.56; 95% CI 5.30 to 9.82; p<0.001)., Conclusions: NC, combined with BMI and WC or WHtR could represent an essential tool for use in clinical practice to define the cardio-metabolic risk in individuals with excess body weight., Competing Interests: The authors have declared that no competing interests exist.

Purpose: Growing awareness of the biological and clinical value of nutrition in frailty settings calls for further efforts to investigate dietary gaps to act sooner to achieve focused management of aging populations. We cross-sectionally examined the eating habits of an older Mediterranean population to profile dietary features most associated with physical frailty. Methods: Clinical and physical examination, routine biomarkers, medical history, and anthropometry were analyzed in 1502 older adults (65 +). CHS criteria were applied to classify physical frailty, and a validated Food Frequency Questionnaire to assess diet. The population was subdivided by physical frailty status (frail or non-frail). Raw and adjusted logistic regression models were applied to three clusters of dietary variables (food groups, macronutrients, and micronutrients), previously selected by a LASSO approach to better predict diet-related frailty determinants. Results: A lower consumption of wine (OR 0.998, 95% CI 0.997–0.999) and coffee (OR 0.994, 95% CI 0.989–0.999), as well as a cluster of macro and micronutrients led by PUFAs (OR 0.939, 95% CI 0.896–0.991), zinc (OR 0.977, 95% CI 0.952–0.998), and coumarins (OR 0.631, 95% CI 0.431–0.971), was predictive of non-frailty, but higher legumes intake (OR 1.005, 95%CI 1.000–1.009) of physical frailty, regardless of age, gender, and education level. Conclusions: Higher consumption of coffee and wine, as well as PUFAs, zinc, and coumarins, as opposed to legumes, may work well in protecting against a physical frailty profile of aging in a Mediterranean setting. Longitudinal investigations are needed to better understand the causal potential of diet as a modifiable contributor to frailty during aging. [ABSTRACT FROM AUTHOR]

Unbalanced diets and altered micronutrient intake are prevalent in the aging adult population. We conducted a systematic review to appraise the evidence regarding the association between single (α-carotene, β-carotene, lutein, lycopene, β-cryptoxanthin) or total carotenoids and frailty syndrome in the adult population. The literature was screened from study inception to December 2021, using six different electronic databases. After establishing inclusion criteria, two independent researchers assessed the eligibility of 180 retrieved articles. Only 11 fit the eligibility requirements, reporting five carotenoid entries. No exclusion criteria were applied to outcomes, assessment tools, i.e., frailty constructs or surrogates, recruitment setting, general health status, country, and study type (cohort or cross-sectional). Carotenoid exposure was taken as either dietary intake or serum concentrations. Cross-sectional design was more common than longitudinal design (n = 8). Higher dietary and plasma levels of carotenoids, taken individually or cumulatively, were found to reduce the odds of physical frailty markedly, and the evidence showed consistency in the direction of association across all selected studies. Overall, the methodological quality was rated from moderate (27%) to high (73%). Prevention of micronutrient deficiencies has some potential to counteract physical decline. Considering carotenoids as biological markers, when monitoring micronutrient status, stressing increased fruit and vegetable intake may be part of potential multilevel interventions to prevent or better manage disability. [ABSTRACT FROM AUTHOR]

Background: Age-related hearing loss (ARHL) and retinal vessel changes have both been associated to neurodegeneration/dementia, suggesting a possible link between these 2 conditions in older age. We aimed to determine whether superficial and deep vascular density (SVD and DVD) of the capillary plexi of macular vasculature can be associated with peripheral ARHL and age-related central auditory central processing (CAPD).Method: We analyzed data on 886 older participants (65 years+, age range: 65-92 years) in the cross-sectional population-based Salus in Apulia Study. Optical coherence tomography angiography was used to measure SVD and DVD of the capillary plexi of the macula at the 3-mm circle area centered on the fovea (whole retina), the parafoveal quadrant, and foveal quadrant. Disabling peripheral ARHL was defined as >40 dB hearing level of pure tone average on the frequencies from 0.5, 1, 2, and 4 KHz in the better ear, and age-related CAPD as <50% at the Synthetic Sentence Identification with Ipsilateral Competitive Message test in at least one ear.Results: DVD at the whole retina and at the parafoveal quadrant were inversely associated only with age-related CAPD (odds ratio [OR]: 0.93, 95% confidence interval [CI]: 0.88-0.96 and OR: 0.94, 95 CI: 0.90-0.99, respectively). No further associations with peripheral ARHL were evident.Conclusions: Retinal vasculature is associated with central auditory processing pathology, possibly playing an important role in early detection and intervention. The association of retinal vascular density with age-related CAPD may bring us a further step forward in understanding the biological mechanisms underlying the links between neurodegeneration/dementia and ARHL. [ABSTRACT FROM AUTHOR]

Background and purpose: In older age, physical and cognitive declines have been shown to occur simultaneously or consequent to one another, and several operational definitions have been proposed to consider the co‐presence of the two declines; for example, "Motoric cognitive risk syndrome" (MCR) has been proposed as a definition for the coexistence of slow gait plus subjective cognitive complaints. Given the increasing interest in MCR and its potential role as both biomarker and therapeutic target, we aimed to estimate its prevalence in a large cohort of non‐demented older subjects, and to examine the associations between physical status, global cognitive dysfunction, and impairment in various cognitive domains in MCR. Methods: A population‐based sample of 1041 older people in Southern Italy (mean age 75.15 years) was enrolled. We defined MCR using slowness and a single question for subjective cognitive complaints. We also administered a comprehensive neuropsychological test battery, together with tests assessing physical function. Results: The prevalence of MCR was 9.9% (95% confidence interval 8.2–11.9). MCR was associated with decreased processing speed and executive function after adjusting for all relevant confounders. However, we found no significant association of MCR with decreased global cognition and immediate/delayed free recall of verbal memory. MCR was also associated with increased exhaustion, low muscle strength, and low physical activity, and increased levels of C‐reactive protein and interleukin‐6. Conclusions: The present findings on MCR prevalence and associated cognitive and physical domains and inflammatory biomarkers may help to uncover altered pathways and therapeutic targets for intervention during the long preclinical phase of neurodegenerative dementia. [ABSTRACT FROM AUTHOR]

Age is a major contributor to the liver fibrosis rate and its adverse health-related outcomes, including mortality, but older populations are still under-explored. We investigated multimorbidity and inflammatory biomarkers in relation to the increasing liver fibrosis risk to delineate 8-year all-cause mortality trajectories in 1929 older adults from the population-based Salus in Apulia Study. Liver fibrosis risk was assumed using the fibrosis-4 (FIB-4) score, assigned to three liver fibrosis risk groups (low, intermediate, high). In the secondary analyses, the APRI score was also calculated to allow for comparisons. Male subjects (prevalence difference: −13.49, 95% confidence interval (CI): −18.96 to −8.03), a higher multimorbidity burden (effect size, ES: −0.14, 95% CI: −0.26 to −0.02), a higher prevalence of physical frailty (ES: 6.77, 95% CI: 0.07 to 13.47), and a more pronounced inflammatory pattern as indicated by tumor growth factor-α circulating levels (ES: −0.12, 95% CI: −0.23 to −0.01) were significantly more common in the highest-risk FIB-4 score group. Liver function characterized by lipid profile and platelet levels worsened with increasing FIB-4 risk score. The 8-year risk of death was nearly double in subjects in the highest-risk FIB-4 score group, even after controlling for possible confounders. Furthermore, a steeper mortality curve was clearly observed for FIB-4 scores as compared with the APRI scoring system with respect to liver fibrosis risk. In conclusion, using a scoring tool based on simple routine biomarkers to detect liver fibrosis risk may enhance biological knowledge of age-related outcomes of chronic liver disease and be helpful in the clinical setting to identify subjects at risk for adverse health-related outcomes, including mortality. [ABSTRACT FROM AUTHOR]

We first estimated the prevalence of physical frailty in older subjects from the population-based Salus in Apulia Study (Apulia, Southern Italy), and its impact on all-cause mortality. Second, we explored the relationship between multimorbidity and physical frailty. Cross-sectional and longitudinal analyses from a population-based study. We analyzed data from the Salus in Apulia study, a population-based sample of 1929 subjects aged 65 years and older. These older participants underwent clinical, physical, and laboratory assessments. Physical frailty was operationalized using slightly modified Fried criteria. Multimorbidity status was defined as the co-presence of 2 or more chronic conditions. The overall prevalence of physical frailty in this older population from Southern Italy was 14.8% [95% confidence interval (CI): 13.26–16.49]. Physical frailty subjects were significantly older (P <.01), had a lower educational level (P <.01), increased executive dysfunction (P <.01), higher serum levels interleukin-6 (P <.01), and white blood cells (P =.01). Multimorbidity status (P <.01), diabetes mellitus (P =.05), peripheral age-related hearing loss (P <.01), cognitive impairment (P <.01), chronic obstructive pulmonary disease (P =.02), and metabolic syndrome (P =.02) were also directly related to physical frailty. Apathy increased according to the severity of physical frailty status (P =.02). There was a significant increased risk of all-cause mortality for physical frailty subjects (hazard ratio: 1.48; 95% CI: 1.03–2.12, adjusted for age and sex) during the observation from the date of enrollment to the date of death (mean ± SD: 55.70 ± 22.19 months, median: 54 months). Frailty is the consequence of the contributory action of the aging process and some chronic diseases that hasten some of the changes concurrent with aging. [ABSTRACT FROM AUTHOR]