Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis
| ISSN: |
1432-0428
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|---|---|
| Keywords: |
Hypoglycaemia ; neuroglycopenia ; autonomic ; factor analysis ; insulin
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| Source: |
Springer Online Journal Archives 1860-2000
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| Topics: |
Medicine
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| Notes: |
Summary The allocation of hypoglycaemic symptoms to autonomie or neuroglycopenic groups tends to occur on an a priori basis. In view of the practical need for clear symptom markers of hypoglycaemia more scientific approaches must be pursued. Substantial evidence is presented from two large scale studies we performed which support a three factor model of hypoglycaemic symptomatology, based on the statistical associations discovered among symptoms reported by diabetic patients. Study 1 involved 295 insulin-treated outpatients and found that 11 key hypoglycaemic symptoms segregated into three clear factors: autonomie (sweating, palpitation, shaking and hunger) neuroglycopenic (confusion, drowsiness, odd behaviour, speech difficulty and incoordination), and malaise (nausea and headache). The three factors were validated on a separate group of 303 insulin-treated diabetic out-patients. Confirmatory factor analyses showed that the three factor model was the optimal model for explaining symptom covariance in each group. A multi-sample confirmatory factor analysis tested the rigorous assumptions that the relative loadings of symptoms on factors across groups were equal, and that the residual variance for each symptom was identical across groups. These assumptions were successful, indicating that the three factor model was replicated in detail across these two large samples. It is suggested that the results indicate valid groupings of symptoms that may be used in future research and in clinical practice.
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| Type of Medium: |
Electronic Resource
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| URL: |
| _version_ | 1798295379955941376 |
|---|---|
| autor | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. |
| autorsonst | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. |
| book_url | http://dx.doi.org/10.1007/BF00401150 |
| datenlieferant | nat_lic_papers |
| hauptsatz | hsatz_simple |
| identnr | NLM199926778 |
| iqvoc_descriptor_keyword | iqvoc_00000708:analysis |
| iqvoc_descriptor_title | iqvoc_00000708:analysis |
| issn | 1432-0428 |
| journal_name | Diabetologia |
| materialart | 1 |
| notes | Summary The allocation of hypoglycaemic symptoms to autonomie or neuroglycopenic groups tends to occur on an a priori basis. In view of the practical need for clear symptom markers of hypoglycaemia more scientific approaches must be pursued. Substantial evidence is presented from two large scale studies we performed which support a three factor model of hypoglycaemic symptomatology, based on the statistical associations discovered among symptoms reported by diabetic patients. Study 1 involved 295 insulin-treated outpatients and found that 11 key hypoglycaemic symptoms segregated into three clear factors: autonomie (sweating, palpitation, shaking and hunger) neuroglycopenic (confusion, drowsiness, odd behaviour, speech difficulty and incoordination), and malaise (nausea and headache). The three factors were validated on a separate group of 303 insulin-treated diabetic out-patients. Confirmatory factor analyses showed that the three factor model was the optimal model for explaining symptom covariance in each group. A multi-sample confirmatory factor analysis tested the rigorous assumptions that the relative loadings of symptoms on factors across groups were equal, and that the residual variance for each symptom was identical across groups. These assumptions were successful, indicating that the three factor model was replicated in detail across these two large samples. It is suggested that the results indicate valid groupings of symptoms that may be used in future research and in clinical practice. |
| package_name | Springer |
| publikationsjahr_anzeige | 1993 |
| publikationsjahr_facette | 1993 |
| publikationsjahr_intervall | 8009:1990-1994 |
| publikationsjahr_sort | 1993 |
| publisher | Springer |
| reference | 36 (1993), S. 771-777 |
| schlagwort | Hypoglycaemia neuroglycopenia autonomic factor analysis insulin |
| search_space | articles |
| shingle_author_1 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. |
| shingle_author_2 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. |
| shingle_author_3 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. |
| shingle_author_4 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. |
| shingle_catch_all_1 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Summary The allocation of hypoglycaemic symptoms to autonomie or neuroglycopenic groups tends to occur on an a priori basis. In view of the practical need for clear symptom markers of hypoglycaemia more scientific approaches must be pursued. Substantial evidence is presented from two large scale studies we performed which support a three factor model of hypoglycaemic symptomatology, based on the statistical associations discovered among symptoms reported by diabetic patients. Study 1 involved 295 insulin-treated outpatients and found that 11 key hypoglycaemic symptoms segregated into three clear factors: autonomie (sweating, palpitation, shaking and hunger) neuroglycopenic (confusion, drowsiness, odd behaviour, speech difficulty and incoordination), and malaise (nausea and headache). The three factors were validated on a separate group of 303 insulin-treated diabetic out-patients. Confirmatory factor analyses showed that the three factor model was the optimal model for explaining symptom covariance in each group. A multi-sample confirmatory factor analysis tested the rigorous assumptions that the relative loadings of symptoms on factors across groups were equal, and that the residual variance for each symptom was identical across groups. These assumptions were successful, indicating that the three factor model was replicated in detail across these two large samples. It is suggested that the results indicate valid groupings of symptoms that may be used in future research and in clinical practice. 1432-0428 14320428 Springer |
| shingle_catch_all_2 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Summary The allocation of hypoglycaemic symptoms to autonomie or neuroglycopenic groups tends to occur on an a priori basis. In view of the practical need for clear symptom markers of hypoglycaemia more scientific approaches must be pursued. Substantial evidence is presented from two large scale studies we performed which support a three factor model of hypoglycaemic symptomatology, based on the statistical associations discovered among symptoms reported by diabetic patients. Study 1 involved 295 insulin-treated outpatients and found that 11 key hypoglycaemic symptoms segregated into three clear factors: autonomie (sweating, palpitation, shaking and hunger) neuroglycopenic (confusion, drowsiness, odd behaviour, speech difficulty and incoordination), and malaise (nausea and headache). The three factors were validated on a separate group of 303 insulin-treated diabetic out-patients. Confirmatory factor analyses showed that the three factor model was the optimal model for explaining symptom covariance in each group. A multi-sample confirmatory factor analysis tested the rigorous assumptions that the relative loadings of symptoms on factors across groups were equal, and that the residual variance for each symptom was identical across groups. These assumptions were successful, indicating that the three factor model was replicated in detail across these two large samples. It is suggested that the results indicate valid groupings of symptoms that may be used in future research and in clinical practice. 1432-0428 14320428 Springer |
| shingle_catch_all_3 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Summary The allocation of hypoglycaemic symptoms to autonomie or neuroglycopenic groups tends to occur on an a priori basis. In view of the practical need for clear symptom markers of hypoglycaemia more scientific approaches must be pursued. Substantial evidence is presented from two large scale studies we performed which support a three factor model of hypoglycaemic symptomatology, based on the statistical associations discovered among symptoms reported by diabetic patients. Study 1 involved 295 insulin-treated outpatients and found that 11 key hypoglycaemic symptoms segregated into three clear factors: autonomie (sweating, palpitation, shaking and hunger) neuroglycopenic (confusion, drowsiness, odd behaviour, speech difficulty and incoordination), and malaise (nausea and headache). The three factors were validated on a separate group of 303 insulin-treated diabetic out-patients. Confirmatory factor analyses showed that the three factor model was the optimal model for explaining symptom covariance in each group. A multi-sample confirmatory factor analysis tested the rigorous assumptions that the relative loadings of symptoms on factors across groups were equal, and that the residual variance for each symptom was identical across groups. These assumptions were successful, indicating that the three factor model was replicated in detail across these two large samples. It is suggested that the results indicate valid groupings of symptoms that may be used in future research and in clinical practice. 1432-0428 14320428 Springer |
| shingle_catch_all_4 | Deary, I. J. Hepburn, D. A. MacLeod, K. M. Frier, B. M. Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Hypoglycaemia neuroglycopenia autonomic factor analysis insulin Summary The allocation of hypoglycaemic symptoms to autonomie or neuroglycopenic groups tends to occur on an a priori basis. In view of the practical need for clear symptom markers of hypoglycaemia more scientific approaches must be pursued. Substantial evidence is presented from two large scale studies we performed which support a three factor model of hypoglycaemic symptomatology, based on the statistical associations discovered among symptoms reported by diabetic patients. Study 1 involved 295 insulin-treated outpatients and found that 11 key hypoglycaemic symptoms segregated into three clear factors: autonomie (sweating, palpitation, shaking and hunger) neuroglycopenic (confusion, drowsiness, odd behaviour, speech difficulty and incoordination), and malaise (nausea and headache). The three factors were validated on a separate group of 303 insulin-treated diabetic out-patients. Confirmatory factor analyses showed that the three factor model was the optimal model for explaining symptom covariance in each group. A multi-sample confirmatory factor analysis tested the rigorous assumptions that the relative loadings of symptoms on factors across groups were equal, and that the residual variance for each symptom was identical across groups. These assumptions were successful, indicating that the three factor model was replicated in detail across these two large samples. It is suggested that the results indicate valid groupings of symptoms that may be used in future research and in clinical practice. 1432-0428 14320428 Springer |
| shingle_title_1 | Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis |
| shingle_title_2 | Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis |
| shingle_title_3 | Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis |
| shingle_title_4 | Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis |
| sigel_instance_filter | dkfz geomar wilbert ipn albert fhp |
| source_archive | Springer Online Journal Archives 1860-2000 |
| timestamp | 2024-05-06T09:35:17.019Z |
| titel | Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis |
| titel_suche | Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis |
| topic | WW-YZ |
| uid | nat_lic_papers_NLM199926778 |