(WFRF:(Shiba R.))
Sökning: (WFRF:(Shiba R.)) > Importance of sex a...
LIBRIS Formathandbok (Information om MARC21)
| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02919naa a2200337 4500 | |
| 001 | oai:prod.swepub.kib.ki.se:149632090 | |
| 003 | SwePub | |
| 008 | 240701s2022 | |||||||||||000 ||eng| | |
| 024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1496320902 URI |
| 024 | 7 | a https://doi.org/10.1136/bmjopen-2021-0504502 DOI |
| 040 | a (SwePub)ki | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Azizi, Z4 aut |
| 245 | 1 0 | a Importance of sex and gender factors for COVID-19 infection and hospitalisation: a sex-stratified analysis using machine learning in UK Biobank data |
| 264 | c 2022-05-18 | |
| 264 | 1 | b BMJ,c 2022 |
| 520 | a To examine sex and gender roles in COVID-19 test positivity and hospitalisation in sex-stratified predictive models using machine learning.DesignCross-sectional study.SettingUK Biobank prospective cohort.ParticipantsParticipants tested between 16 March 2020 and 18 May 2020 were analysed.Main outcome measuresThe endpoints of the study were COVID-19 test positivity and hospitalisation. Forty-two individuals’ demographics, psychosocial factors and comorbidities were used as likely determinants of outcomes. Gradient boosting machine was used for building prediction models.ResultsOf 4510 individuals tested (51.2% female, mean age=68.5±8.9 years), 29.4% tested positive. Males were more likely to be positive than females (31.6% vs 27.3%, p=0.001). In females, living in more deprived areas, lower income, increased low-density lipoprotein (LDL) to high-density lipoprotein (HDL) ratio, working night shifts and living with a greater number of family members were associated with a higher likelihood of COVID-19 positive test. While in males, greater body mass index and LDL to HDL ratio were the factors associated with a positive test. Older age and adverse cardiometabolic characteristics were the most prominent variables associated with hospitalisation of test-positive patients in both overall and sex-stratified models.ConclusionHigh-risk jobs, crowded living arrangements and living in deprived areas were associated with increased COVID-19 infection in females, while high-risk cardiometabolic characteristics were more influential in males. Gender-related factors have a greater impact on females; hence, they should be considered in identifying priority groups for COVID-19 infection vaccination campaigns. | |
| 700 | 1 | a Shiba, Y4 aut |
| 700 | 1 | a Alipour, P4 aut |
| 700 | 1 | a Maleki, F4 aut |
| 700 | 1 | a Raparelli, V4 aut |
| 700 | 1 | a Norris, C4 aut |
| 700 | 1 | a Forghani, R4 aut |
| 700 | 1 | a Pilote, L4 aut |
| 700 | 1 | a El Emam, K4 aut |
| 773 | 0 | t BMJ opend : BMJg 12:5, s. e050450-q 12:5<e050450-x 2044-6055 |
| 856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:149632090 |
| 856 | 4 8 | u https://doi.org/10.1136/bmjopen-2021-050450 |
Hitta mer i SwePub
- Av författaren/redakt...
- Azizi, Z
- Shiba, Y
- Alipour, P
- Maleki, F
- Raparelli, V
- Norris, C
- visa fler...
- Forghani, R
- Pilote, L
- El Emam, K
- visa färre...
- Artiklar i publikationen
- BMJ open
- Av lärosätet
- Karolinska Institutet
Sök utanför SwePub
- Sök vidare i:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - Nationella bibliotekssystem
- LIBRIS.kb.se
