Influence of Digit Sucking Habit on Masseter Muscle Thickness and Upper Airway Dimensions in Nigerian Children
Ada Njokanma; Olayinka Otuyemi; Kikelomo Kolawole · 2023 · Nigerian Dental Journal
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background: Digit sucking habit (DSH) generates functional forces that can influence craniofacial morphology. Although the dental effects have been widely reported, its influence on the masseter muscle thickness (MMT) and upper airway (UA) dimensions is not well known. Methods: Thirty (30) children selected from the orthodontic clinic (OAUTHC), with a DSH were matched with a group of 30 children without a DSH. Each group comprised of 16 males and 14 females. Ultrasonographic evaluation of the masseter muscle (MM) was performed to measure the left and right MMT in the relaxed and contracted sta
Abstract by Ada Njokanma; Olayinka Otuyemi; Kikelomo Kolawole, Nigerian Dental Journal (2023) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Accuracy of four intraoral scanners in oral implantology: a comparative in vitro study
Negative / Null Result ReportBioactivity evaluation of three calcium silicate‐based endodontic materials
Negative / Null Result ReportIncidence of impacted mandibular and maxillary third molars-a radiographic study in a Southeast Iran population
Negative / Null Result ReportAnti‐infective therapy of peri‐implantitis with adjunctive local drug delivery or photodynamic therapy: 12‐month outcomes of a randomized controlled clinical trial
Negative / Null Result ReportExploring the genetic basis of chronic periodontitis: a genome-wide association study
Negative / Null Result ReportIn Vitro Biofilm Formation on Titanium and Zirconia Implant Surfaces
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.61172/ndj.v31i2.255
