FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891811027> ?p ?o ?g. }

• W2891811027 endingPage "e0203587" @default.
• W2891811027 startingPage "e0203587" @default.
• W2891811027 abstract "Non-communicable diseases (NCDs) have become a global public health problem, which threatens Sub-Sahara Africa (SSA) including Nigeria. Civil servants are at risk of NCDs because of the stressful and sedentary nature of their work. The study aimed to determine the prevalence and associated factors of the major risk factors of NCDs among civil servants in Ibadan, Nigeria.A cross-sectional study was conducted among 606 civil servants in Oyo State using a two-stage cluster sampling technique. The WHO Stepwise approach was used to assess the behavioural and metabolic risk factors. Anthropometric (weight, height, waist and hip circumferences), blood pressure and biochemical measurements (fasting blood sugar) were obtained. Prevalence rates and 95% confidence intervals were calculated. Multivariate logistic models with adjusted odds ratios and their 95% confidence intervals were used to assess the associated factors of NCD risk factors. Multiple Poisson regression was also performed to determine the effects of certain socio-demographic factors on the clustering of NCD risk factors.The mean age of the civil servants was 43.0±10.3 and 53.8% were males. The prevalence estimates and 95% confidence intervals of the risk factors were 6.5% (95% CI:4.5-8.5) for current smoking, 7.8% (95% CI:5.1-10.5) for harmful use of alcohol, 62.2% (95% CI:58.2-66.2) for low physical activity, 69.7% (95% CI:66.0-73.4) for insufficient fruit and vegetable intake, 37.1% (95% CI:33.2-41.0) for abdominal obesity, 57.3% (95% CI:53.3-61.3) for overweight and obesity, 33.1% (95% CI:29.3-36.8) for raised blood pressure and 7.1% (95% CI:5.0-9.1) for raised blood sugar. Over 75% of the population had at least two NCD risk factors and the study participants had an average of 3 NCD risk factors 3.01 (95% CI: 2.88-3.14) The female gender was significantly associated with an increased risk for abdominal obesity (AOR 27.9; 95% CI: 12.09-64.6) and being overweight or obese (AOR 6.78; 95% CI: 3.53-13.01), but was protective of smoking (AOR 0.21; 95% CI: 0.07-0.61) and binge drinking (AOR 0.04; 95% CI: 0.01-0.45). Also, the risk of hypertension increased with age- 30-39 years (AOR 12.29; 95% CI: 1.06-141.8), 40-49 years (AOR 14.28; 95% CI: 1.10-181.4) and 50 years and above (AOR 32.43; 95% CI: 2.44-413.7). Raised blood pressure was a strong correlate for having raised blood sugar (AOR 5.63; 95% CI: 1.48-21.3). Increasing age (IRR 1.02; 95% CI: 1.01-1.02) and being female (IRR 1.36; 95% CI: 1.23-1.49) were also important predictors of the clustering of risk factors.The feminization (i.e. the preponderance of risk factors among the females) and clustering of non-communicable disease risk factors were observed among Oyo State civil servants. Our findings highlight the high prevalence of cardio-metabolic risk factors among the working class. Hence the need for targeted preventive and therapeutic interventions among this population." @default.
• W2891811027 created "2018-09-27" @default.
• W2891811027 creator A5056261680 @default.
• W2891811027 creator A5082226446 @default.
• W2891811027 date "2018-09-13" @default.
• W2891811027 modified "2023-10-17" @default.
• W2891811027 title "The prevalence and associated factors of non-communicable disease risk factors among civil servants in Ibadan, Nigeria" @default.
• W2891811027 cites W141548595 @default.
• W2891811027 cites W1493524458 @default.
• W2891811027 cites W1506797362 @default.
• W2891811027 cites W1796941964 @default.
• W2891811027 cites W1926605577 @default.
• W2891811027 cites W1969766670 @default.
• W2891811027 cites W1972643702 @default.
• W2891811027 cites W1976329139 @default.
• W2891811027 cites W1981476547 @default.
• W2891811027 cites W1995133088 @default.
• W2891811027 cites W2016042041 @default.
• W2891811027 cites W2024206894 @default.
• W2891811027 cites W2042922276 @default.
• W2891811027 cites W2045993449 @default.
• W2891811027 cites W2050380049 @default.
• W2891811027 cites W2050951335 @default.
• W2891811027 cites W2061203532 @default.
• W2891811027 cites W2096431515 @default.
• W2891811027 cites W2101474772 @default.
• W2891811027 cites W2120509069 @default.
• W2891811027 cites W2123223233 @default.
• W2891811027 cites W2139889186 @default.
• W2891811027 cites W2141398296 @default.
• W2891811027 cites W2142211007 @default.
• W2891811027 cites W2151402544 @default.
• W2891811027 cites W2154369207 @default.
• W2891811027 cites W2154892323 @default.
• W2891811027 cites W2155057583 @default.
• W2891811027 cites W2161771038 @default.
• W2891811027 cites W2168296094 @default.
• W2891811027 cites W2177198902 @default.
• W2891811027 cites W2285799177 @default.
• W2891811027 cites W2329872375 @default.
• W2891811027 cites W2342341696 @default.
• W2891811027 cites W2417378097 @default.
• W2891811027 cites W2566455139 @default.
• W2891811027 doi "https://doi.org/10.1371/journal.pone.0203587" @default.
• W2891811027 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6136760" @default.
• W2891811027 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30212508" @default.
• W2891811027 hasPublicationYear "2018" @default.
• W2891811027 type Work @default.
• W2891811027 sameAs 2891811027 @default.
• W2891811027 citedByCount "28" @default.
• W2891811027 countsByYear W28918110272019 @default.
• W2891811027 countsByYear W28918110272020 @default.
• W2891811027 countsByYear W28918110272021 @default.
• W2891811027 countsByYear W28918110272022 @default.
• W2891811027 countsByYear W28918110272023 @default.
• W2891811027 crossrefType "journal-article" @default.
• W2891811027 hasAuthorship W2891811027A5056261680 @default.
• W2891811027 hasAuthorship W2891811027A5082226446 @default.
• W2891811027 hasBestOaLocation W28918110271 @default.
• W2891811027 hasConcept C126322002 @default.
• W2891811027 hasConcept C138816342 @default.
• W2891811027 hasConcept C142052008 @default.
• W2891811027 hasConcept C142724271 @default.
• W2891811027 hasConcept C144024400 @default.
• W2891811027 hasConcept C149923435 @default.
• W2891811027 hasConcept C151956035 @default.
• W2891811027 hasConcept C156957248 @default.
• W2891811027 hasConcept C159110408 @default.
• W2891811027 hasConcept C17744445 @default.
• W2891811027 hasConcept C199539241 @default.
• W2891811027 hasConcept C2776193436 @default.
• W2891811027 hasConcept C2776577793 @default.
• W2891811027 hasConcept C2777693730 @default.
• W2891811027 hasConcept C2908647359 @default.
• W2891811027 hasConcept C3018445945 @default.
• W2891811027 hasConcept C44249647 @default.
• W2891811027 hasConcept C511355011 @default.
• W2891811027 hasConcept C61427482 @default.
• W2891811027 hasConcept C71924100 @default.
• W2891811027 hasConcept C73269764 @default.
• W2891811027 hasConcept C94625758 @default.
• W2891811027 hasConcept C99454951 @default.
• W2891811027 hasConceptScore W2891811027C126322002 @default.
• W2891811027 hasConceptScore W2891811027C138816342 @default.
• W2891811027 hasConceptScore W2891811027C142052008 @default.
• W2891811027 hasConceptScore W2891811027C142724271 @default.
• W2891811027 hasConceptScore W2891811027C144024400 @default.
• W2891811027 hasConceptScore W2891811027C149923435 @default.
• W2891811027 hasConceptScore W2891811027C151956035 @default.
• W2891811027 hasConceptScore W2891811027C156957248 @default.
• W2891811027 hasConceptScore W2891811027C159110408 @default.
• W2891811027 hasConceptScore W2891811027C17744445 @default.
• W2891811027 hasConceptScore W2891811027C199539241 @default.
• W2891811027 hasConceptScore W2891811027C2776193436 @default.
• W2891811027 hasConceptScore W2891811027C2776577793 @default.
• W2891811027 hasConceptScore W2891811027C2777693730 @default.
• W2891811027 hasConceptScore W2891811027C2908647359 @default.
• W2891811027 hasConceptScore W2891811027C3018445945 @default.

• next