Study of anthropometric measurements to predict contracted pelvis

Evaluation of sacral rhomboid dimensions to predict contracted pelvis: a pilot study of Indian primigravidae.

OBJECTIVE This prospective study aimed to evaluate dimensions of sacral rhomboid (quadrangular area at lower back) as predictors of Contracted pelvis (CP). METHODS In 300 uncomplicated primigravidae after 37 weeks gestation, transverse and vertical diagonal (TD and VD) of sacral rhomboid were recorded. Post- delivery, patients fell into two groups: Normal Deliveries (group 1) and CP (group 2,...

Application of alternative anthropometric measurements to predict metabolic syndrome

OBJECTIVE The association between rarely used anthropometric measurements (e.g., mid-upper arm, forearm, and calf circumference) and metabolic syndrome has not been proven. The aim of this study was to assess whether mid-upper arm, forearm, calf, and waist circumferences, as well as waist/height ratio and waist-to-hip ratio, were associated with metabolic syndrome. METHODS We enrolled 387 sub...

An Analysis of 306 Cases of Contracted Pelvis

Can foot anthropometric measurements predict dynamic plantar surface contact area?

BACKGROUND Previous studies have suggested that increased plantar surface area, associated with pes planus, is a risk factor for the development of lower extremity overuse injuries. The intent of this study was to determine if a single or combination of foot anthropometric measures could be used to predict plantar surface area. METHODS Six foot measurements were collected on 155 subjects (97 ...

Relationship between maternal pelvis height and other anthropometric measurements in a multisite cohort of Ugandan mothers

INTRODUCTION In sub Saharan Africa, childbirth remains a challenge that creates the need for additional screening tools. Maternal pelvis height, which is currently in use by automotive engineers has previously been shown to have significant associations with various childbirth related outcomes and events. This study set out to determine the associations between maternal: Age, height, weight and...