Study of cephalic index in Vindhya region of Madhya Pradesh

Mishra, Meghana; Tiwari, Amrish; Naik, Deepak C

doi:10.5455/ijmsph.2014.120920141

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Head form prevalence: The results indicated a prevalence of Mesocephalic head form (45.1%) in the Malabar region of Kerala. Concordant results with predominance of mesocephalic head form were observed in the studies of Njemirovskij V et al, 5 Alves HA et al, 6 Nair SK et al, 7 Patro S et al, 8 Mishra M et al, 9 Akinbami BO, 10 Lakshmi KK et al, 11 Shah T et al, 12 Setiya M et al, 13 Ahmed SKN and Sreenivasan M, 14 Ranga MKS and Mallika MCV, 15 Doshi MA and Jadhav SD, 16 Mangeshkar A et al 17 and Thomas MW and Rajan SK. 18 The present study results showed Brachycephalic head form as the second most prevalent group with an incidence of 21% among the study subjects.…”

Section: Discussionsupporting

confidence: 68%

Correlation between cephalic index and facial index in skeletal malocclusions – An analytical cross-sectional study

Antony¹,

Prachodh

Shaloob³

et al. 2023

JCO

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: The study aimed to assess the correlation between Cephalic Index and Facial Index in patients with skeletal malocclusions reporting to the Department of Orthodontics and Dentofacial Orthopedics in a private Dental College in Kerala.: A study was conducted using analytical cross-sectional study design, on patients numbering 120 (40 Class I, 40 Class II & 40 Class III) between ages 18 to 30 years. Statistical analysis was carried out with SPSS version 22.0 (SPSS Inc., Chicago, IL). The data was assessed using the Shapiro-Wilk test for normality. Inferential statistics to find the difference between the Cephalic and Facial Indices was done using the independent t-test and Chi-square test for proportion analysis. Correlation coefficient between the Facial and Cephalic indices was assessed using Pearson Correlation Coefficient.: A weak negative correlation existed between the Cephalic Index and Facial Index in different skeletal malocclusions - (-0.28) in Class I, (-0.15) in Class II and (-0.08) in Class III malocclusion. : The present study observed that cranial morphology exerted a weak morphologic influence on the facial type as indicated by the weak negative correlation between the Cephalic Index and Facial Index in the different antero-posterior malocclusions.

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Section: Discussionsupporting

confidence: 68%

Correlation between cephalic index and facial index in skeletal malocclusions – An analytical cross-sectional study

Antony¹,

Prachodh

Shaloob³

et al. 2023

JCO

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“…We observed the mean CI of the male was 75.59±2.64. This finding was slightly lower than the studies conducted by Singh and Purkit [17] and Mishra et al [18]. Singh and Purkit [17] reported the mean CI of males was 77.71±4.91, and Mishra et al [18] reported 75.84 mean CI in males.…”

Section: Discussionmentioning

confidence: 53%

“…This finding was slightly lower than the studies conducted by Singh and Purkit [17] and Mishra et al [18]. Singh and Purkit [17] reported the mean CI of males was 77.71±4.91, and Mishra et al [18] reported 75.84 mean CI in males. Another Indian study from the Manipal region reported 77.92 mean CI in males [19] and Shah and Jadav [20] reported that CI's value was 80.42 in Gujrati males.…”

Section: Discussionmentioning

confidence: 53%

Establishment of Cephalic Index Using Cranial Parameters by Computed Tomography in a Sampled North Indian Population

Khanduri¹,

Malik²,

Khan³

et al. 2021

Cureus

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Background: Cephalic index (CI) also called cranial index is the ratio of maximum breadth to a maximum length of head. The purpose of the study was to study anthropometry of cranial parameters using the computed tomography (CT) scans to establish the CI of the sampled population in North India.Materials and methods: The cross-sectional study was carried on the subjects of age group ranging from 6 to 95 years of either sex (total 1000 subjects; 540 male and 460 female) in the radio-diagnosis department of Era's Medical College Lucknow, UP, India. The measurement of maximum cranial breadth (MCB) and maximum cranial length (MCL) were taken on a CT scan machine and recorded for analysis. When associating the measures of precision for different subgroups, a one-way analysis of variance (ANOVA) was used for modest and efficient errors. Multivariate logistic regression analysis was used to identify factors affecting the CI estimation like age, interzygomatic length (IZL), orbital length (OL), MCB, and MCL.Result: Out of 1000 studied subjects, the majority 234 (23.4%) of the subjects belong to the 21-30 years age group. MCB of heads and MCL of heads in different ages and on applying the one-way ANOVA association was statistically significant and CI was statistically insignificant. Pearson correlation between the CI and other parameters like age, MCB of heads, and MCL of heads, and a statistically significant correlation was seen with each other. Dolichocephalic types of the skull are found more in male subjects, and brachycephalic type of skull is more common in female subjects. Conclusion:The average CI of our study was 76.67±3.18. This shows that northern India's dominant head shape, especially in the Lucknow region, was dolichocephaly. Thus, the CT scan is proven an essential modality in the assessment of cranial parameters in anthropometry.

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A study on morphometry of cranium and its index in dry human skulls of north India

Kumar,

Ali

2024

IJCAP

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Cranial indices, derived from skull measurements, are fundamental tools in cranial anthropometry. Establishing standard values for these indices is crucial for anatomists and craniofacial surgeons performing cranial reconstructions. This study aimed to establish baseline data on cranial morphology and calculate cranial indices. One hundred dry skulls of unknown sex were measured in the Department of Anatomy at Shri Guru Ram Rai Institute of Medical and Health Sciences, Dehradun. Cranial length and breadth were measured, and the cranial index was calculated. Cranial types were also classified. The mean cranial length was 190.90 mm, with a mean breadth of 139.40 mm. The cranial index was 73.03. Mesocranic (48%) and dolichocranic (42%) skulls were the most prevalent, while brachycranic (8%) and hyper-brachycranic (2%) skulls were less common. This study provides baseline data on cranial morphometry in an unknown population sample. The results suggest a predominance of mesocranic and dolichocranic head shapes.

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Study of cephalic index in Vindhya region of Madhya Pradesh

Cited by 5 publications

References 3 publications

Correlation between cephalic index and facial index in skeletal malocclusions – An analytical cross-sectional study

Correlation between cephalic index and facial index in skeletal malocclusions – An analytical cross-sectional study

Establishment of Cephalic Index Using Cranial Parameters by Computed Tomography in a Sampled North Indian Population

A study on morphometry of cranium and its index in dry human skulls of north India

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