Are clusters of mental retardation correlated with clusters of developmental delay?
Mental retardation (MR) is a subset of developmental delay (DD), a broader classification of childhood disability. The purpose of this study was to determine if clusters of these two conditions were statistically significantly correlated. The residential addresses of 81,935 Medicaid insured pregnant...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2009-11-01
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| Series: | Geospatial Health |
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| Online Access: | http://www.geospatialhealth.net/index.php/gh/article/view/207 |
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| author | Huiling Zhen Suzanne McDermott Andrew B. Lawson C. Marjorie Aelion |
| author_facet | Huiling Zhen Suzanne McDermott Andrew B. Lawson C. Marjorie Aelion |
| author_sort | Huiling Zhen |
| collection | DOAJ |
| description | Mental retardation (MR) is a subset of developmental delay (DD), a broader classification of childhood disability. The purpose of this study was to determine if clusters of these two conditions were statistically significantly correlated. The residential addresses of 81,935 Medicaid insured pregnant women during each month of pregnancy were used to identify clusters of MR and DD in their children. Correlations between MR and DD were computed based on the sets of P-value surface from selected centroid points, where the P-value for cumulative relative risk of MR and DD was known. The correlations are quite small for all the 10 gestational months for which maternal addresses were available, but they are all statistically significant. This indicates MR and DD are correlated, but they are not linear. When MR was used as the centroid point to identify a cluster the only correlations that were statistically significant were for gestational month 5 and 6 with correlation 0.14 (P = 0.007) for both months. When the centroid points were selected based on the significance of risk of DD, the correlations between MR and DD are not statistically significant for any month. Correlation between MR and DD based on the sets of P-value surfaces from 4 MR clusters are significant in gestational month 5, 6 and 7 with correlation 0.17 (P = 0.047), 0.16 (P = 0.060) and 0.17 (P = 0.044), respectively. Our finding suggests that locations of high risk for the more severe condition, MR, also identify a spatial area where less severe cases of DD might be present, however the reverse is not the case. |
| first_indexed | 2024-12-10T21:49:25Z |
| format | Article |
| id | doaj.art-b8c4439478f24ac3a1ba00f478a88865 |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-10T21:49:25Z |
| publishDate | 2009-11-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-b8c4439478f24ac3a1ba00f478a888652022-12-22T01:32:15ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962009-11-0141172610.4081/gh.2009.207207Are clusters of mental retardation correlated with clusters of developmental delay?Huiling Zhen0Suzanne McDermott1Andrew B. Lawson2C. Marjorie Aelion3Department of Epidemiology and Biostatistics, University of South Carolina, South Carolina, ColumbiaDepartment of Family and Preventive Medicine, University of South Carolina, South Carolina, ColumbiaDivision of Biostatistics and Epidemiology, College of Medicine, Medical University of South Carolina, South Carolina, ColumbiaSchool of Public Health, University of Massachusetts, AmherstMental retardation (MR) is a subset of developmental delay (DD), a broader classification of childhood disability. The purpose of this study was to determine if clusters of these two conditions were statistically significantly correlated. The residential addresses of 81,935 Medicaid insured pregnant women during each month of pregnancy were used to identify clusters of MR and DD in their children. Correlations between MR and DD were computed based on the sets of P-value surface from selected centroid points, where the P-value for cumulative relative risk of MR and DD was known. The correlations are quite small for all the 10 gestational months for which maternal addresses were available, but they are all statistically significant. This indicates MR and DD are correlated, but they are not linear. When MR was used as the centroid point to identify a cluster the only correlations that were statistically significant were for gestational month 5 and 6 with correlation 0.14 (P = 0.007) for both months. When the centroid points were selected based on the significance of risk of DD, the correlations between MR and DD are not statistically significant for any month. Correlation between MR and DD based on the sets of P-value surfaces from 4 MR clusters are significant in gestational month 5, 6 and 7 with correlation 0.17 (P = 0.047), 0.16 (P = 0.060) and 0.17 (P = 0.044), respectively. Our finding suggests that locations of high risk for the more severe condition, MR, also identify a spatial area where less severe cases of DD might be present, however the reverse is not the case.http://www.geospatialhealth.net/index.php/gh/article/view/207mental retardation, developmental delay, spatial clusters, South Carolina. |
| spellingShingle | Huiling Zhen Suzanne McDermott Andrew B. Lawson C. Marjorie Aelion Are clusters of mental retardation correlated with clusters of developmental delay? Geospatial Health mental retardation, developmental delay, spatial clusters, South Carolina. |
| title | Are clusters of mental retardation correlated with clusters of developmental delay? |
| title_full | Are clusters of mental retardation correlated with clusters of developmental delay? |
| title_fullStr | Are clusters of mental retardation correlated with clusters of developmental delay? |
| title_full_unstemmed | Are clusters of mental retardation correlated with clusters of developmental delay? |
| title_short | Are clusters of mental retardation correlated with clusters of developmental delay? |
| title_sort | are clusters of mental retardation correlated with clusters of developmental delay |
| topic | mental retardation, developmental delay, spatial clusters, South Carolina. |
| url | http://www.geospatialhealth.net/index.php/gh/article/view/207 |
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