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This paper examines internal migrant selection in Italy using individual height data from the 1951 and 1980 birth cohorts of military conscripts. Information on both place of birth and residence of conscripts allows us to compare migrants' heights to the height distributions of their non-migrant peers at the national level and to their populations of origin. Results suggest that migrants from southern Italy were negatively selected at the national level, while a positive selection in height emerged if compared to conscripts who remained in their macro-area of origin.

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Decreased muscle strength and lower hand grip strength (HGS) values are observed in patients with type 2 diabetes (T2D). This study aimed to present the values of hand grip strength as a valuable tool in T2D treatment monitoring in the context of body size and lifestyle elements in 347 patients with type 2 diabetes from Ulaanbaatar, Mongolia. A retrospective cross-sectional study was performed at hospitals in Ulaanbaatar, Mongolia.

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Background/objectives: Despite the accumulating evidence on the detrimental impact of UPFs on health, a common limit of the available studies concerns the instruments used to collect information about the consumption of processed foods. Recently, a specific NOVA-FFQ was proposed for the evaluation of ultra-processed food (UPF) consumption, but it does not allow the simultaneous assessment of energy and nutrient intake. We evaluate the concordance between the NOVA-FFQ and a common questionnaire (EPIC-FFQ) when assessing (1) the intake of foods with different degrees of processing and (2) the relationship between diet composition and cardiometabolic profile.

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Background: Accurate body fat distribution assessment is essential for managing cardiovascular disease and metabolic disorders. Although several methods are available for segmental fat analysis, few studies have examined the validity of affordable methods such as Bioelectrical Impedance Analysis (BIA) against the reference method, Dual-Energy X-ray Absorptiometry (DXA). This study aimed to assess the validity of BIA as compared to DXA for segmental fat mass assessment, and to develop anthropometric multivariate regression models that offer a cost-effective alternative for health professionals in clinical and public health settings.

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Acquiring gait metrics and anthropometric data is crucial for evaluating an individual's physical status. Automating this assessment process alleviates the burden on healthcare professionals and accelerates patient monitoring. Current automation techniques depend on specific, expensive systems such as OptoGait or MuscleLAB, which necessitate training and physical space.

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