FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3025283419> ?p ?o ?g. }

• W3025283419 endingPage "11" @default.
• W3025283419 startingPage "1" @default.
• W3025283419 abstract "Due to long-hour outdoor working environment, policemen have been subjected to tremendous health risks including blood pressure (BP) and heart rate (HR). In tropical countries, the temperature is extremely harsh which may get peak at above 40 Celsius degrees or drops under 8 Celsius degrees. However, the existing data on the effects of weather variation on BP and HR among police task force has been scarce in Vietnam.This study aimed to describe the variation of 24-hour BP and HR and identify factors associated with BP and HR for further appropriate interventions in order to reduce health risks from occupational exposure.Multilevel regression analysis (MLRA) was applied with two levels of influent factors. 24-hour holter measured systolic blood pressure (SBP), diastolic blood pressure (DBP), and HR values were the first level which should then be nested in the second level (individual). 24-hour temperature and humidity variations were extracted, respectively, from Hanoi Hydrometeorology Department. All individual characteristics and risk behaviours were measured within 24 studying hours.Temperature and humidity were major factors that influenced (74%-78%) the variation of BP and HR among the policemen population. When each of the Celsius degree temperature or percentage humidity increases, the SBP goes down by 0.44 (0.11-0.77) and by 0.2 (0.33-0.77), respectively, and the DBP goes down by 0.21 (-0.05-0.48) and by 0.12 (0.02-0.22), respectively, and vice versa. Interaction between temperature and humidity was significantly influent to SBP. The farther the time section from the first time section (0-6AM) the more the variation of the BP and HR. Transition from winter to summer made SBP and DBP decrease and vice versa. Individual characteristics including body mass index (BMI), bad life styles, and stress contributed 22% to 26% to the variation of BP and HR. Traffic policemen were at the greatest risks of the outdoor ambient variation in comparison with the firefighters and office-based policemen.Designing and equipping appropriate uniform and outdoor facilities could help to reduce influence of temperature and humidity variation in the outdoor workplace. Besides, training and educating programs that aimed at controlling BMI, risk behaviours, and stress for police taskforce, especially the traffic policemen, should be implemented." @default.
• W3025283419 created "2020-05-21" @default.
• W3025283419 creator A5005073533 @default.
• W3025283419 creator A5043957508 @default.
• W3025283419 creator A5048451797 @default.
• W3025283419 creator A5048684482 @default.
• W3025283419 creator A5048699753 @default.
• W3025283419 creator A5064513320 @default.
• W3025283419 creator A5066480954 @default.
• W3025283419 date "2020-05-16" @default.
• W3025283419 modified "2023-09-27" @default.
• W3025283419 title "Multilevel Analysis of 24-Hour Blood Pressure, Heart Rate, and Associated Factors among Police Officers in Hanoi, Vietnam" @default.
• W3025283419 cites W1904619067 @default.
• W3025283419 cites W1964784924 @default.
• W3025283419 cites W1972369175 @default.
• W3025283419 cites W1974441085 @default.
• W3025283419 cites W1991115106 @default.
• W3025283419 cites W2024288376 @default.
• W3025283419 cites W2026291210 @default.
• W3025283419 cites W2033075344 @default.
• W3025283419 cites W2041076889 @default.
• W3025283419 cites W2043607030 @default.
• W3025283419 cites W2044453351 @default.
• W3025283419 cites W2067148661 @default.
• W3025283419 cites W2072564163 @default.
• W3025283419 cites W2085607684 @default.
• W3025283419 cites W2118313291 @default.
• W3025283419 cites W2118814992 @default.
• W3025283419 cites W2121680741 @default.
• W3025283419 cites W2138167174 @default.
• W3025283419 cites W2143978441 @default.
• W3025283419 cites W2179549096 @default.
• W3025283419 cites W2530588595 @default.
• W3025283419 cites W2582811494 @default.
• W3025283419 cites W2588630819 @default.
• W3025283419 cites W2756007062 @default.
• W3025283419 cites W2756721819 @default.
• W3025283419 cites W2769887372 @default.
• W3025283419 cites W2783418334 @default.
• W3025283419 cites W2788003116 @default.
• W3025283419 cites W2789794974 @default.
• W3025283419 cites W2913221730 @default.
• W3025283419 cites W2945758445 @default.
• W3025283419 doi "https://doi.org/10.1155/2020/7494906" @default.
• W3025283419 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7255014" @default.
• W3025283419 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32550233" @default.
• W3025283419 hasPublicationYear "2020" @default.
• W3025283419 type Work @default.
• W3025283419 sameAs 3025283419 @default.
• W3025283419 citedByCount "2" @default.
• W3025283419 countsByYear W30252834192020 @default.
• W3025283419 countsByYear W30252834192023 @default.
• W3025283419 crossrefType "journal-article" @default.
• W3025283419 hasAuthorship W3025283419A5005073533 @default.
• W3025283419 hasAuthorship W3025283419A5043957508 @default.
• W3025283419 hasAuthorship W3025283419A5048451797 @default.
• W3025283419 hasAuthorship W3025283419A5048684482 @default.
• W3025283419 hasAuthorship W3025283419A5048699753 @default.
• W3025283419 hasAuthorship W3025283419A5064513320 @default.
• W3025283419 hasAuthorship W3025283419A5066480954 @default.
• W3025283419 hasBestOaLocation W30252834191 @default.
• W3025283419 hasConcept C121332964 @default.
• W3025283419 hasConcept C126322002 @default.
• W3025283419 hasConcept C140793950 @default.
• W3025283419 hasConcept C144024400 @default.
• W3025283419 hasConcept C149923435 @default.
• W3025283419 hasConcept C151420433 @default.
• W3025283419 hasConcept C153294291 @default.
• W3025283419 hasConcept C164705383 @default.
• W3025283419 hasConcept C205649164 @default.
• W3025283419 hasConcept C2777953023 @default.
• W3025283419 hasConcept C2908647359 @default.
• W3025283419 hasConcept C33070731 @default.
• W3025283419 hasConcept C39432304 @default.
• W3025283419 hasConcept C57900726 @default.
• W3025283419 hasConcept C6425155 @default.
• W3025283419 hasConcept C71924100 @default.
• W3025283419 hasConcept C84393581 @default.
• W3025283419 hasConcept C86803240 @default.
• W3025283419 hasConcept C97355855 @default.
• W3025283419 hasConcept C99454951 @default.
• W3025283419 hasConceptScore W3025283419C121332964 @default.
• W3025283419 hasConceptScore W3025283419C126322002 @default.
• W3025283419 hasConceptScore W3025283419C140793950 @default.
• W3025283419 hasConceptScore W3025283419C144024400 @default.
• W3025283419 hasConceptScore W3025283419C149923435 @default.
• W3025283419 hasConceptScore W3025283419C151420433 @default.
• W3025283419 hasConceptScore W3025283419C153294291 @default.
• W3025283419 hasConceptScore W3025283419C164705383 @default.
• W3025283419 hasConceptScore W3025283419C205649164 @default.
• W3025283419 hasConceptScore W3025283419C2777953023 @default.
• W3025283419 hasConceptScore W3025283419C2908647359 @default.
• W3025283419 hasConceptScore W3025283419C33070731 @default.
• W3025283419 hasConceptScore W3025283419C39432304 @default.
• W3025283419 hasConceptScore W3025283419C57900726 @default.
• W3025283419 hasConceptScore W3025283419C6425155 @default.
• W3025283419 hasConceptScore W3025283419C71924100 @default.
• W3025283419 hasConceptScore W3025283419C84393581 @default.

• next