Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder
Abstract Background Mood disorders (MDS) are a type of mental health illness that effects millions of people in the United States. Early prediction of MDS can give providers greater opportunity to treat these disorders. We hypothesized that longitudinal cardiovascular health (CVH) measurements would...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-12-01
|
| Series: | BMC Medical Informatics and Decision Making |
| Online Access: | https://doi.org/10.1186/s12911-021-01674-9 |
| _version_ | 1818988429712556032 |
|---|---|
| author | Aixia Guo Kari A. Stephens Yosef M. Khan James R. Langabeer Randi E. Foraker |
| author_facet | Aixia Guo Kari A. Stephens Yosef M. Khan James R. Langabeer Randi E. Foraker |
| author_sort | Aixia Guo |
| collection | DOAJ |
| description | Abstract Background Mood disorders (MDS) are a type of mental health illness that effects millions of people in the United States. Early prediction of MDS can give providers greater opportunity to treat these disorders. We hypothesized that longitudinal cardiovascular health (CVH) measurements would be informative for MDS prediction. Methods To test this hypothesis, the American Heart Association’s Guideline Advantage (TGA) dataset was used, which contained longitudinal EHR from 70 outpatient clinics. The statistical analysis and machine learning models were employed to identify the associations of the MDS and the longitudinal CVH metrics and other confounding factors. Results Patients diagnosed with MDS consistently had a higher proportion of poor CVH compared to patients without MDS, with the largest difference between groups for Body mass index (BMI) and Smoking. Race and gender were associated with status of CVH metrics. Approximate 46% female patients with MDS had a poor hemoglobin A1C compared to 44% of those without MDS; 62% of those with MDS had poor BMI compared to 47% of those without MDS; 59% of those with MDS had poor blood pressure (BP) compared to 43% of those without MDS; and 43% of those with MDS were current smokers compared to 17% of those without MDS. Conclusions Women and ethnoracial minorities with poor cardiovascular health measures were associated with a higher risk of development of MDS, which indicated the high utility for using routine medical records data collected in care to improve detection and treatment for MDS among patients with poor CVH. |
| first_indexed | 2024-12-20T19:22:27Z |
| format | Article |
| id | doaj.art-1eec1433453441f7a0913419bfabb6db |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-12-20T19:22:27Z |
| publishDate | 2021-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-1eec1433453441f7a0913419bfabb6db2022-12-21T19:28:57ZengBMCBMC Medical Informatics and Decision Making1472-69472021-12-012111810.1186/s12911-021-01674-9Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorderAixia Guo0Kari A. Stephens1Yosef M. Khan2James R. Langabeer3Randi E. Foraker4Institute for Informatics (I2), Washington University School of MedicineFamily Medicine, University of Washington School of MedicineHealth Informatics and Analytics, Centers for Health Metrics and Evaluation, American Heart AssociationSchool of Biomedical Informatics, Health Science Center at Houston, The University of TexasInstitute for Informatics (I2), Washington University School of MedicineAbstract Background Mood disorders (MDS) are a type of mental health illness that effects millions of people in the United States. Early prediction of MDS can give providers greater opportunity to treat these disorders. We hypothesized that longitudinal cardiovascular health (CVH) measurements would be informative for MDS prediction. Methods To test this hypothesis, the American Heart Association’s Guideline Advantage (TGA) dataset was used, which contained longitudinal EHR from 70 outpatient clinics. The statistical analysis and machine learning models were employed to identify the associations of the MDS and the longitudinal CVH metrics and other confounding factors. Results Patients diagnosed with MDS consistently had a higher proportion of poor CVH compared to patients without MDS, with the largest difference between groups for Body mass index (BMI) and Smoking. Race and gender were associated with status of CVH metrics. Approximate 46% female patients with MDS had a poor hemoglobin A1C compared to 44% of those without MDS; 62% of those with MDS had poor BMI compared to 47% of those without MDS; 59% of those with MDS had poor blood pressure (BP) compared to 43% of those without MDS; and 43% of those with MDS were current smokers compared to 17% of those without MDS. Conclusions Women and ethnoracial minorities with poor cardiovascular health measures were associated with a higher risk of development of MDS, which indicated the high utility for using routine medical records data collected in care to improve detection and treatment for MDS among patients with poor CVH.https://doi.org/10.1186/s12911-021-01674-9 |
| spellingShingle | Aixia Guo Kari A. Stephens Yosef M. Khan James R. Langabeer Randi E. Foraker Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder BMC Medical Informatics and Decision Making |
| title | Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder |
| title_full | Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder |
| title_fullStr | Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder |
| title_full_unstemmed | Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder |
| title_short | Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder |
| title_sort | women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder |
| url | https://doi.org/10.1186/s12911-021-01674-9 |
| work_keys_str_mv | AT aixiaguo womenandethnoracialminoritieswithpoorcardiovascularhealthmeasuresassociatedwithahigherriskofdevelopingmooddisorder AT kariastephens womenandethnoracialminoritieswithpoorcardiovascularhealthmeasuresassociatedwithahigherriskofdevelopingmooddisorder AT yosefmkhan womenandethnoracialminoritieswithpoorcardiovascularhealthmeasuresassociatedwithahigherriskofdevelopingmooddisorder AT jamesrlangabeer womenandethnoracialminoritieswithpoorcardiovascularhealthmeasuresassociatedwithahigherriskofdevelopingmooddisorder AT randieforaker womenandethnoracialminoritieswithpoorcardiovascularhealthmeasuresassociatedwithahigherriskofdevelopingmooddisorder |