- Home
- Medical news & Guidelines
- Anesthesiology
- Cardiology and CTVS
- Critical Care
- Dentistry
- Dermatology
- Diabetes and Endocrinology
- ENT
- Gastroenterology
- Medicine
- Nephrology
- Neurology
- Obstretics-Gynaecology
- Oncology
- Ophthalmology
- Orthopaedics
- Pediatrics-Neonatology
- Psychiatry
- Pulmonology
- Radiology
- Surgery
- Urology
- Laboratory Medicine
- Diet
- Nursing
- Paramedical
- Physiotherapy
- Health news
- Fact Check
- Bone Health Fact Check
- Brain Health Fact Check
- Cancer Related Fact Check
- Child Care Fact Check
- Dental and oral health fact check
- Diabetes and metabolic health fact check
- Diet and Nutrition Fact Check
- Eye and ENT Care Fact Check
- Fitness fact check
- Gut health fact check
- Heart health fact check
- Kidney health fact check
- Medical education fact check
- Men's health fact check
- Respiratory fact check
- Skin and hair care fact check
- Vaccine and Immunization fact check
- Women's health fact check
- AYUSH
- State News
- Andaman and Nicobar Islands
- Andhra Pradesh
- Arunachal Pradesh
- Assam
- Bihar
- Chandigarh
- Chattisgarh
- Dadra and Nagar Haveli
- Daman and Diu
- Delhi
- Goa
- Gujarat
- Haryana
- Himachal Pradesh
- Jammu & Kashmir
- Jharkhand
- Karnataka
- Kerala
- Ladakh
- Lakshadweep
- Madhya Pradesh
- Maharashtra
- Manipur
- Meghalaya
- Mizoram
- Nagaland
- Odisha
- Puducherry
- Punjab
- Rajasthan
- Sikkim
- Tamil Nadu
- Telangana
- Tripura
- Uttar Pradesh
- Uttrakhand
- West Bengal
- Medical Education
- Industry
Handgrip force simple and efficient method for predicting Bite Force among dentate and edentulous women
Handgrip force simple and efficient method for predicting Bite Force using predictive models developed for women with good health suggests a new study published in the Journal of Oral Rehabilation
The literature is unclear about bite force (BF) and handgrip force (HF) in a specific group of different ages and dentate conditions, or even a predictive model for each specific group, using BF and HF as factors.
A study was done to establish the correlation between HF and BF in female participants with distinct ages and dentate conditions; also create a predictive model of BF as a function of HF.
Participants were divided into three groups (GI: young natural dentate women, n = 65; GII: adult natural dentate women, n = 67; and GIII: edentulous women users of bimaxillary complete dentures, n = 67) and subjected to an HF measurement test using a digital dynamometer. Subsequently, BF was measured using a digital gnathodynamometer in the molar region. Pearson correlation coefficient (r) and multivariate analysis of variance (α = 0.05) were performed, and simple linear regression was used to obtain a model to predict BF from HF for each group separately (α = 0.05).
Results
All groups presented moderate and strong correlations among the variables (GI: r = 0.838; GII: r = 0.714; GIII: r = 0.646). A significant difference in BF was observed (GI > GII > GIII; p < .05). GIII presented a significantly lower HF than the other groups (p < .05). Besides, three equations predicting BF, using HF, were obtained for use in young/adult dentate and edentulous women.
All groups found a positive and significant correlation between BF, HF and groups. HF can be a simple and efficient method for predicting BF using the predictive models developed for women with good health.
Reference:
Jabr, CL, Oliveira, LP, Campos, LA, et al. Handgrip force and bite force in dentulous and edentulous individuals. J Oral Rehabil. 2023; 00: 1- 7. doi:10.1111/joor.13461
Keywords:
Handgrip, force, simple, efficient, method, predicting, Bite Force, using, predictive, models, developed, women with good health, Jabr, CL, Oliveira, LP, Campos, LA, J Oral Rehabil
Dr. Shravani Dali has completed her BDS from Pravara institute of medical sciences, loni. Following which she extensively worked in the healthcare sector for 2+ years. She has been actively involved in writing blogs in field of health and wellness. Currently she is pursuing her Masters of public health-health administration from Tata institute of social sciences. She can be contacted at editorial@medicaldialogues.in.
Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751