Orthodontic treatment demand and need in third and fourth grade schoolchildren.
There have been few reports worldwide addressing orthodontic need and demand in children and no recent reports in the United States. The purpose of this study was to examine the orthodontic need and demand in third and fourth grade children (n = 3696). Data including age, sex, race, orthodontic status, socioeconomic status, availability of specialist treatment services, as well as thorough occlusal data, were collected. Orthodontic demand was significantly higher in girls (9.5%) than boys (6.8%), whereas need had the inverse relationship (41.8%, 44.2%, respectively). There were no meaningful differences in age among the demand, need, and no need groups. Demand was greater in white than in black children (11.8% versus 1.2%); however, need was observed to be less in black (35.3%) than in white children (47.2%). Demand was greater in the urban schools (8.9%) than in the rural schools (6.3%), whereas need was found to be similar. There was more demand in the higher socioeconomic groups (11.7%) than in the lower groups (1.8%), whereas need was similar in all the groups. The demand group had a significantly greater number of orthodontists within a radius of up to 5 miles of the school than the need and no need groups. Logistic regression models to examine factors that distinguish the groups show that when demand versus need/no need groups are compared, those students with an increased "risk" of previous treatment are more likely to have more orthodontists nearby, to be in higher socioeconomic groups, and to be female students.
Wheeler
T T
TT
Department of Orthodontics, University of Florida College of Dentistry, Gainesville.
McGorray
S P
SP
Yurkiewicz
L
L
Keeling
S D
SD
King
G J
GJ
D001741:Black or African American; D000704:Analysis of Variance; D016009:Chi-Square Distribution; D002648:Child; D005260:Female; D005431:Florida / Q000453:epidemiology; D006297:Health Services Accessibility; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008310:Malocclusion / Q000453:epidemiology* / Q000208:ethnology; D016017:Odds Ratio; D009970:Orthodontics; D009971:Orthodontics, Corrective / Q000706:statistics & numerical data*; D012424:Rural Population; D012737:Sex Factors; D012923:Social Class; D014505:Urban Population; D044465:White People; D000078329:Workforce