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Exploring the optimal allostatic load scoring method in women of reproductive age

dc.contributor.authorLi, Yang
dc.contributor.authorRosemberg, Marie‐anne S.
dc.contributor.authorDalton, Vanessa K.
dc.contributor.authorLee, Shawna J.
dc.contributor.authorSeng, Julia S.
dc.date.accessioned2019-11-12T16:21:40Z
dc.date.availableWITHHELD_13_MONTHS
dc.date.available2019-11-12T16:21:40Z
dc.date.issued2019-11
dc.identifier.citationLi, Yang; Rosemberg, Marie‐anne S. ; Dalton, Vanessa K.; Lee, Shawna J.; Seng, Julia S. (2019). "Exploring the optimal allostatic load scoring method in women of reproductive age." Journal of Advanced Nursing (11): 2548-2558.
dc.identifier.issn0309-2402
dc.identifier.issn1365-2648
dc.identifier.urihttps://hdl.handle.net/2027.42/151983
dc.description.abstractAimsThe aim of this study was to determine the optimal allostatic load scoring method.DesignThis is a secondary analysis of data on women of reproductive age from the 2001-2006 National Health and Nutrition Examination Survey.MethodsWe created allostatic load summary scores using five scoring methods including the count-based, Z-Score, logistic regression, factor analysis and grade of membership methods. Then, we examined the predictive performance of each allostatic load summary measure in relation to three outcomes: general health status, diabetes and hypertension.ResultsWe found that the allostatic load summary measure by the logistic regression method had the highest predictive validity with respect to the three outcomes. The logistic regression method performed significantly better than the count-based and grade of membership methods for predicting diabetes as well as performed significantly better for predicting hypertension than all of the other methods. But the five scoring methods performed similarly for predicting poor health status.ConclusionWe recommended the logistic regression method when the outcome information is available, otherwise the frequently used simpler count-based method may be a good alternative.ImpactThe study compared different scoring methods and made recommendations for the optimal scoring approach. We found that allostatic load summary measure by the logistic regression method had the strongest predictive validity with respect to general health status, diabetes and hypertension. The study may provide empirical evidence for future research to use the recommended scoring approach to score allostatic load. The allostatic load index may serve as an -early warning- indicator for health risk.ç ®ç è¿ é¡¹ç  ç©¶ç ç ®ç å ¨äº ,ç¡®å® æ ä½³é åº è´ è ·è¯ å æ ¹æ³ ã è®¾è®¡è¿ æ ¯å¯¹2001å¹´è ³2006æ é ´å ¨å ½å ¥åº·å è ¥å »æ£ æ ¥è° æ ¥ä¸­è ²é¾ å¦ å¥³æ °æ ®ç äº æ¬¡å æ ã æ ¹æ³ æ ä»¬ä½¿ç ¨äº äº ç§ è¯ å æ ¹æ³ (å æ ¬å ºäº è®¡æ °æ³ ã Z计å æ³ ã é »è¾ å å½ æ³ ã å  å­ å æ æ³ å é ¶å± åº¦æ ¹æ³ )æ ¥å å»ºäº é åº è´ è ·æ± æ »å æ °ã ç ¶å ,æ ä»¬æ£ æ ¥äº ä¸ ä¸ ä¸ªç» æ ç ¸å ³ç å ç§ é åº è´ è ·æ± æ »æ °å ¼ç é¢ æµ æ §è ½:æ ´ä½ å ¥åº·ç ¶æ ã ç³ å°¿ç å é« è¡ å ã ç» æ æ 们å ç °,é »è¾ å å½ æ³ ç é åº è´ è ·æ± æ »å æ °å¯¹è¿ ä¸ ä¸ªç» æ å ·æ æ é« ç é¢ æµ æ 度ã é »è¾ å å½ æ³ å ¨é¢ æµ ç³ å°¿ç æ ¹é ¢ç è¡¨ç °æ æ ¾ä¼ äº å ºäº è®¡æ °æ³ å é ¶å± åº¦æ ¹æ³ ,å ¨é¢ æµ é« è¡ å æ ¹é ¢ç è¡¨ç °ä¹ æ æ ¾ä¼ äº æ æ å ¶ä» æ ¹æ³ ã ä½ è¿ äº ç§ è¯ å æ ¹æ³ å ¨é¢ æµ ä¸ è ¯å ¥åº·ç ¶æ æ ¹é ¢ç è¡¨ç °ç ¸ä¼¼ã ç» è®ºå½ ç» æ èµ æ å ¯ç ¨æ ¶,æ ä»¬æ ¨è é »è¾ å å½ æ³ ,å ¨å ¶ä» æ ¹é ¢,å¸¸ç ¨ä¸ æ ´ç® å ç å ºäº è®¡æ °æ³ å ¯è ½ä¹ æ ¯ä¸ ä¸ªä¸ é ç é æ ©ã å½±å è¯¥ç  ç©¶æ¯ è¾ äº ä¸ å ç è¯ å æ ¹æ³ ,并æ å ºäº æ ä½³è¯ å æ ¹æ³ ç 建议ã æ 们å ç °ç ¨é »è¾ å å½ æ³ è¿ è¡ ç é åº è´ è ·æ± æ »å æ °å¯¹æ ´ä½ å ¥åº·ç ¶æ ã ç³ å°¿ç å é« è¡ å å ·æ æ 强ç é¢ æµ æ æ æ §ã è¯¥ç  ç©¶å ¯ä»¥ä¸ºä» å ä½¿ç ¨æ ¨è ç è¯ å æ ¹æ³ å¯¹æ æ é åº è´ è ·è¯ å æ ä¾ å® éª æ §è¯ æ ®ã é åº è´ è ·æ æ °å ¯ä»¥ä½ ä¸ºå ¥åº·é£ é ©ç -é¢ è­¦-æ æ  ã
dc.publisherWiley Periodicals, Inc.
dc.publisherR Foundation for Statistical Computing
dc.subject.otherallostatic load
dc.subject.othernursing
dc.subject.otherscoring
dc.subject.otherwomen of reproductive age
dc.titleExploring the optimal allostatic load scoring method in women of reproductive age
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelNursing
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151983/1/jan14014_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151983/2/jan14014.pdf
dc.identifier.doi10.1111/jan.14014
dc.identifier.sourceJournal of Advanced Nursing
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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