BACKGROUND: Stature contributes as a crucial element of an individual\'s physical appearance and can be instrumental in establishing their identity. In cases where the body is extensively mutilated, decomposed, or reduced to skeletal remains, stature becomes an essential component in identifying the unknown by means of measuring the skeletal remains. Its estimation relies on the principle that an individual\'s height has a definite and linear relationship with specific body parts and long bones. This process, together with assessing age, sex, and race constitutes the essential components of the anthropological protocol. Stature estimation can be accomplished through both anatomical and mathematical approaches. The present study clearly defines regression models for height estimation from finger lengths. The formula derived can prove particularly valuable in Medico-legal scenarios, as it can be applied effectively even when only a portion of the body is accessible.
OBJECTIVE: The purpose of the present study is to estimate the stature of individuals by measuring the length of the index and ring fingers.
METHODS: The current study acquired three measurements, such as stature, right/left index finger length (RIFL/LIFL), and ring finger length (RFL), from 220 samples, including 110 males and 110 females, respectively, between the age groups of 20 and 60 years.
RESULTS: The application of the length of the index and ring finger in forensic investigations holds significance due to their potential as reliable predictors of an individual\'s height. According to the findings of the study, males showed significantly higher stature than females. A statistically significant correlation was also observed (p-value = 0) between stature and finger lengths (IFL, RFL) in both hands. The highest correlation coefficients were found for the left RFL (r = 0.688) in females and the LIFL (r = 0.552) in males. Additionally, males showed significantly longer index and RFL than females. Linear regression models for the estimation of stature from ring and index finger length were also derived successfully.
CONCLUSIONS:  The results obtained from the present study exhibit potential use to evaluate the utility of measuring index and RFLs for determining stature and predicting the precision of regression models by employing those parameters. The models derived from this study can serve as corroborative evidence for identifying mutilated body parts or unknown remains.

Background: For the past 50 years, standard guidelines have recommended the use of sex-adjusted mid-parental height to predict a child\'s final height. Here, we studied the accuracy of this procedure. Methods: We used height data in a cohort of 23 very large nuclear families (mean = 11 adult children per family). We compared the actual final height of the children to their height predicted by the standard procedure, as well as to alternative height predictions that incorporate corrections of mid-parental height for age, sex, and regression to the mean. Results: Standard mid-parental height explained 36% of the variance in children\'s heights, with a heritability of 74%, and children were on average 2.7 cm taller than predicted by their target heights. When we introduced a nonlinear correction for the age of the parents, employed a multiplicative (rather than additive) correction for sex, and accounted for regression to the mean, the variance explained increased to 40%, heritability increased to 80%, and prediction bias was reduced from 2.7 cm to 0.14 cm (representing an improvement in prediction by half a standard deviation of the height distribution). We further measured the empirical distribution of the heights of adult children around their predicted height. We describe how this distribution can be used to estimate the probability that a child\'s height is within the normal expected range. Conclusions and Relevance: Based on these observations, we propose an improved method for predicting children\'s target heights. Our procedure for determining whether the deviation of a child\'s projected height from the target height is in the normal range can be used to assess whether the child should be tested further for potential medical abnormalities.

Dental anthropology provides a deep insight into biological, ecological and cultural aspects associated with human individuality, behaviour and living conditions and the environment. Our study uses a correlation analysis to test the metric relationships between tooth sizes and jaw dimensions and juxtaposes them with biological sex and stature. A sample of n = 100 dental casts was used to record metric dental data including the mesio-distal and bucco-lingual tooth crown diameters and nine upper and lower jaw dimensions. All crown diameters were highly correlated with both stature and biological sex, with the canines exhibiting the highest correlation. The majority of jaw dimensions exhibited similar correlations. Our results suggest that the differences between the sexes in most crown diameters and some jaw dimensions may be related to the stature of the individuals measured. Two groups of closely correlating features emerged among the jaw dimensions, differing in their degree of correlation with crown diameters and with sex. The results and insights obtained are highly relevant for evolutionary biology, dentistry, craniofacial research, bioarchaeology and forensic odontology.

Knee height can be a proxy for height when standing height cannot be reliably measured. We compared two commonly used equations (Chumlea and Rumapea) that estimate standing height from knee height. We prospectively enrolled 210 children without scoliosis or kyphosis aged 7-12 years (mean age: 10.2 years, 47.6% males) and measured their knee heights and standing heights. A two-tailed T-test was used to compare predicted heights from each of the equations to actual standing height. Chumlea equation was found to be unreliable (p = 0.0376) while Rumapea equation was found to be reliable in estimating standing height (p = 0.878). Additionally, Rumapea equation was also found to be more accurate than Chumlea equation when results were segregated based on gender and race. In conclusion, the Rumapea equation yields more accurate estimates of standing heights than the Chumlea equation in US children aged 7-12 years.

Dental measurements have been proposed as parameters for stature estimation for at least 85 years. The scientific literature on the topic, however, is controversial regarding the performance of the method. This systematic literature review of observational cross-sectional studies aimed to compile evidence to support decisions in the forensic practice regarding the use of dental measurements for stature estimation. Embase, LILACS, MedLine (via PubMed), SciELO, Scopus, Web of Science, DansEasy and Open Access Thesis and Dissertations (OATD) were searched. Data regarding the rate of correct stature classifications were extracted. A meta-analysis with a Random Intercept Logistic Regression model and a Logit Transformation was conducted. The search led to 10.803 entries, out of which 15 were considered eligible (n = 1486 individuals). The studies were published between 1990 and 2020 and were authored by South American (n = 7) and Asian (n = 8) research teams. Dental measurements were predominantly (93.34 %) performed on dental casts or via intraoral inspection. The overall rate of correct classifications based on stature was 68 %. Excluding outliers, the overall accuracy of the method decreased to 64 % (95 %CI: 54-73 %). Significant heterogeneity was detected (I² = 72.4 %, τ2 = 0.24, H = 1.91, p < 0.001). Egger\'s test (p = 0.94) and the funnel plot did not reveal publication bias. Dental measurements are not reliable for stature estimation in the forensic field.

In clinical settings, standing height measurement is often difficult to perform due to patients\' inability to stand upright. Height prediction equations derived from measurements of the length of other body segments have been published; however, they are not readily applicable to all populations since ethnic differences affect the relationship between standing height and body segment length. This cross-sectional study aimed to examine the accuracy of height prediction using the Malnutrition Universal Screening Tool (MUST) height predictive equations among Greek patients and to develop new, nationally representative equations. The study population consisted of 1198 Greek adult outpatients able to stand upright without assistance and without medical conditions that affected their height. Standing height, ulna length, knee height and demi-span measurements were obtained from 599 males and 599 females. Patients were stratified into age groups of <55 and ≥55 years, <60 and ≥60 years and <65 and ≥65 years according to the categories indicated by the MUST for height prediction from alternative measurements. There were positive correlations between standing height and ulna length and knee height and demi-span length (p < 0.001) in both sexes and all age categories. A strong correlation was observed between the measured and predicted standing height using ulna length (rho = 0.870, p < 0.001), knee height (rho = 0.923, p < 0.001) and demi-span length (rho = 0.906, p < 0.001). The average difference between the MUST indicative equations\' height predictions from alternative measurements and actual height was -3.04 (-3.32, -2.76), -1.21 (-1.43, -0.988) and 2.16 (1.92, 2.41), respectively. New height prediction equations for Greek patients were identified, with the predicted values closer to the measured standing heights than those predicted with the MUST indicative equations for height prediction from alternative measurements.

OBJECTIVE: In the clinical routine of pediatricians, height is the most reliable indicator for assessing growth. However, there are situations where it is not possible to measure this parameter directly, making the estimation of height or length a useful alternative. The main goal of this study is to identify which segmental measure, including upper arm length (UAL), tibial length (TL), and knee-heel length (KHL), provides the stature estimate that most closely approximates directly measured height in the study participants.
METHODS: Analytical cross-sectional study of the anthropometric and segmental measures of 248 participants, aged 0 to 14 years old, using Stevenson\'s and Kihara\'s equations to estimate indirectly measured height.
RESULTS: The segmental measure that provided a measurement that deviated the least from the actual height was the KHL, followed by TL, both calculated using Stevenson\'s equations.
CONCLUSIONS: The use of segmental measures to infer a child\'s stature is valuable in clinical practice, particularly in bedridden and incapacitated patients. Based on the present findings, the KHL and TL segments yielded more accurate results than the UAL.

BACKGROUND: We aimed to characterize stature in pediatric patients with avoidant/restrictive food intake disorder (ARFID), including associations between body size and nutrient intake and height.
METHODS: We conducted a secondary analysis of pre-treatment data from 60 patients diagnosed with ARFID that were collected from the electronic medical record. Anthropometric measurements were converted to age- and sex-specific Z-scores using pediatric CDC growth charts. Spearman correlations were performed to test the relationship between height and weight/BMI Z-scores as well as height Z-score and diet variables.
RESULTS: On average, height (-0.35 ± 1.38), weight (-0.58 ± 1.56), and BMI (-0.56 ± 1.48) Z-scores tended to be lower than what would be expected in a generally healthy pediatric population. Percent of individuals with height, weight, or BMI Z-score < -2.0 was 8%, 20%, and 17%, respectively. BMI (P < 0.05) and weight (P < 0.05) were positively associated with height Z-score. Further, intake of some nutrients (e.g., calcium, vitamin D) correlated positively with height Z-score (all P < 0.05).
CONCLUSIONS: The cross-sectional relationships reported in this study suggest that in children with ARFID, body weight and consumption of bone-augmenting nutrients such as calcium and vitamin D correlated with height. A thorough understanding of the clinical manifestations of malnutrition and longitudinal effects of restrictive eating in patients with ARFID is critical.
We examined data on growth and height for a sample of 60 children with highly selective eating consistent with an eating/feeding disorder termed avoidant/restrictive food intake disorder (ARFID). These children received treatment in an intensive multidisciplinary intervention program. We found that children had significantly lower weight and body mass index (BMI) compared to same sex and age peers, with a trend toward lower height. Greater body size and intake of specific nutrients was related to taller stature in this sample. Children with ARFID may be at greater risk of impaired growth secondary to highly restricted food intake, a health outcome which should be studied to inform screening and intervention practices.

BACKGROUND: Height loss in aging has been recognized to reflect a decline in musculoskeletal health but not investigated in relation to dietary factors, such as sugar-sweetened beverages (SSBs), the consumption of which may deteriorate musculoskeletal health.
OBJECTIVE: This study aimed to evaluate the longitudinal association of habitual consumption of total SSBs and its subtypes with height loss and examine effect-modification by age, sex, and anthropometry.
METHODS: We evaluated 16,230 adults aged 40-79 y in the European Prospective Investigation into Cancer and Nutrition-Norfolk cohort. At baseline (1993-1997), SSB consumption (soft drinks, squashes, sweetened milk beverages, sweetened coffee/tea, and sweetened alcoholic beverages) was assessed using 7-d food diaries. Height was objectively measured at the baseline, second (1997-2000), and third (2004-2011) health checks. Multivariable linear regression was used to examine baseline SSB consumption and the rate of height change over the follow-up.
RESULTS: The median (IQR) height change was -1.07 (-2.09 to -0.28) cm/10 y. Adjusted for potential confounders including behavioral factors, medications, and baseline body mass index (BMI), total SSB consumption was associated with height loss (β: -0.024; 95% CI: -0.046, -0.001 cm/10 y per 250 g/d of SSB), and similar results were seen for the individual beverages, except for sweetened milk beverages (β: +0.07; 95% CI: -0.16, 0.30), with wide CIs. No effect-modification by prespecified factors was evident, except for baseline BMI (P-interaction = 0.037). Total SSB consumption was associated with height loss (-0.038; 95% CI: -0.073, -0.004) in participants with BMI ≤ 25 kg/m2 but not apparently in those with BMI > 25 kg/m2.
CONCLUSIONS: SSB consumption was modestly associated with height loss, particularly in adults with normal weight status.

Linear growth during three distinct stages of life determines attained stature in adulthood: namely, in utero, early postnatal life, and puberty and the adolescent period. Individual host factors, genetics, and the environment, including nutrition, influence attained human stature. Each period of physical growth has its specific biological and environmental considerations. Recent epidemiologic investigations reveal a strong influence of prenatal factors on linear size at birth that in turn influence the postnatal growth trajectory. Although average population height changes have been documented in high-income regions, stature as a complex human trait is not well understood or easily modified. This review summarizes the biology of linear growth and its major drivers, including nutrition from a life-course perspective, the genetics of programmed growth patterns or height, and gene-environment interactions that determine human stature in toto over the life span. Implications for public health interventions and knowledge gaps are discussed.