Background: Nutritional status assessment is the cornerstone of the Nutrition Care Process, guiding diagnosis, intervention, and monitoring. The classical ABCD model (Anthropometry, Biochemical, Clinical, Dietary) has been widely applied; however, it presents limitations in addressing current nutritional and epidemiological challenges. Objective: This narrative review aims to synthesize and update the scientific evidence on the expanded nutritional assessment model, known as ABCDEFG, which incorporates the Ecological–microbiota (E), Functional (F), and Genomic–nutrigenomic (G) approaches. Methods: A narrative review of the literature was conducted through PubMed, Scopus, and Web of Science, covering publications from 2013 to 2025. Articles were selected based on relevance to at least one of the seven assessment domains. Findings were synthesized descriptively and critically, highlighting applications, strengths, and limitations. Results: The ABCDEFG framework offers a multidimensional perspective of nutritional assessment. While anthropometric, biochemical, clinical, and dietary methods remain essential, the inclusion of ecological dimensions (gut microbiota, environmental influences), functional measures (e.g., muscle strength, physical performance), and genomics enables a more sensitive and personalized evaluation. This integrative approach supports better clinical decision-making and research innovation in nutrition and health sciences. Conclusions: The seven-method model broadens the scope of nutritional assessment, bridging traditional and emerging tools. Its application enhances the capacity to identify nutritional risks, design targeted interventions, and advance precision nutrition.

Background: Field-based body-fat estimates may differ substantially across methods, but similarity in group averages does not necessarily indicate close individual-level agreement. This study characterized pairwise numerical agreement among four field-based body-fat estimation methods without designating a criterion reference. Methods: Forty physically active adults (19 women and 21 men) underwent same-session assessment using archived Carter-derived and Faulkner-derived anthropometric estimates, single-frequency bioelectrical impedance analysis (BIA; Omron HBF-514C), and multifrequency BIA (InBody 120). Agreement was evaluated using paired differences, 95% limits of agreement (LoA), bootstrap confidence intervals, and analyses of non-constant mean and variance structures. Difference-on-paired-mean patterns were additionally examined considering mathematical coupling and unequal method variances. Results: Carter-derived estimates averaged 4.16 percentage points (pp) lower than Faulkner-derived estimates, whereas Omron estimates averaged 5.34 pp higher than InBody estimates. Carter–Faulkner showed an approximately stable mean difference but increasing dispersion across the measurement range, supporting level-specific LoA. Faulkner–InBody showed a small mean difference (−1.48 pp) despite wide global LoA (−12.91 to 9.94 pp). Anthropometry–BIA comparisons showed negative difference-on-paired-mean slopes (−0.58 to −0.72); however, these patterns were algebraically consistent with mathematical coupling and unequal method variances and were not interpreted as independent evidence of adiposity-level effects. Conclusions: The methods showed systematic pairwise differences and substantial individual-level disagreement. Because no criterion method, replicate measurements, or prespecified application-specific acceptability threshold was available, the findings establish neither accuracy, superiority, nor interchangeability among the methods.

Background: Excess adiposity has been associated with endocrine and metabolic alterations that may affect ovarian physiology and outcomes in assisted reproductive technology (ART). Objectives: The purpose of this study was to evaluate whether body mass index (BMI) was independently associated with ovarian follicular response in women undergoing assisted reproductive procedures. Methods: A cross-sectional study was conducted including 259 women aged 18 to 43 years. Analyses included nutritional status, diet quality, and follicular response. Associations were analyzed using chi-square and Kruskal–Wallis tests and negative binomial regression adjusted for age and indication. Results: Mean age was 32.8 ± 6.3 years, and mean BMI was 24.7 ± 3.2 kg/m². Diet quality was not associated with follicle number or morphological quality. Overall, 47.5% of participants had normal weight, 42.9% were overweight, and 6.9% had class I obesity. Follicular yield differed across BMI categories in unadjusted analyses (p = 0.017), but BMI was not independently associated with follicle count after adjustment (IRR = 1.010; 95% CI: 0.983–1.036; p = 0.488). Age remained the only independent predictor, with each additional year associated with a 5.9% reduction in expected follicle count (IRR = 0.941; 95% CI: 0.920–0.963; p < 0.001). Conclusions: BMI was not independently associated with follicular yield after adjustment, whereas age remained the principal determinant of ovarian response. These findings should be confirmed in prospective studies incorporating ovarian reserve markers and stimulation-related variables.