Prevalence and factors associated with hypertension and obesity among civil servants in Kaduna, Kaduna State, June 2012

Oladimeji, Abisola; Fawole, Olufunmilayo I.; Nguku, Patrick; Nsubuga, Peter

doi:10.11604/pamj.supp.2014.18.1.3260

Cited by 20 publications

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“…Age was a ubiquitous risk factor present among the same group of workers such as civil servants [ 9 – 11 , 17 , 59 ], health workers [ 13 , 15 , 27 , 29 ], or university workers [ 23 , 26 ] or among different groups of workers [ 38 , 49 ].…”

Section: Resultsmentioning

confidence: 99%

“…It was more common in nonhypertensives than in hypertensives [ 31 , 46 ] with the difference being statistically significant in some studies [ 31 ]. After stratifying civil servants into two age groups (<40 years or ≥40 years), the prevalence of hypertension was found to be higher in those with a positive family history of hypertension than in those without, but the difference was not statistically significant [ 13 ].…”

Section: Resultsmentioning

confidence: 99%

“…The prevalence of overweight or obesity, as reported by 16 studies, ranged from 25.6% among pharmaceutical industry workers [ 40 ] to 97.7% among Senegalese workers of an information technology (IT) company [ 51 ]. It was more than 50% among civil servants [ 9 , 13 ], health workers [ 27 , 31 ], traders [ 35 , 37 ], medical school lecturers [ 22 ], traffic wardens [ 46 ], and IT company workers [ 51 ].…”

Section: Resultsmentioning

confidence: 99%

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Determinants of Mean Blood Pressure and Hypertension among Workers in West Africa

Bosu

2016

International Journal of Hypertension

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Background. This review was undertaken to estimate the mean blood pressure and evaluate its determinants as well as the determinants of hypertension among workers in West Africa. Methods. In a follow-up to an earlier study, a systematic search for articles published between 1980 and August 2015 was undertaken using major databases. Results. A total of 55 articles involving 34,919 different cadres of workers from six countries were retrieved. The mean systolic blood pressure (BP) ranged from 116.6 ± 1.3 mmHg to 151.7 ± 13.6 mmHg while the mean diastolic BP ranged from 69.6 ± 11.0 mmHg to 97.1 ± 9.1 mmHg. Population-wide prehypertension was common. The major determinants of mean BP and hypertension were similar and included male sex, older age group, higher socioeconomic status, obesity, alcohol consumption, plasma glucose, and sodium excretion. Ethnicity and educational level were inconsistently associated with hypertension. Workers at higher risk of cardiovascular event did not perceive themselves as such. Conclusion. The prevailing mean prehypertensive BP, low perception of risk, and clustering of risk factors call for interventions such as healthy diets, improved physical activity, and a favourable work environment. Successful models for improving the cardiovascular health of sedentary informal sector workers in Africa are urgently needed.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Determinants of Mean Blood Pressure and Hypertension among Workers in West Africa

Bosu

2016

International Journal of Hypertension

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“…35,36 Conversely, low prevalence rates have been reported among the working class in some other parts of Nigeria. 31,37,38 These differences could be as a result of civil servants being the focus of previous studies as against this study which participants were general community residents and traders. The sex differences in smoking in this study is in keeping with similar reports in other parts of the country where more males smoked cigarettes than females.…”

Section: Discussionmentioning

confidence: 92%

Prevalence of Non-Communicable Diseases and its Risk Factors among Ijegun-Isheri Osun Residents in Lagos State, Nigeria: A Community Based Cross-Sectional Study

Idris

Oguntade

Mensah³

et al. 2020

Preprint

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Background: The rapid epidemiologic transition of diseases has adverse implications for low-and middle-income countries (LMICs) like Nigeria due to their limited healthcare, weaker health systems and the westernization of lifestyle. There is a need to evaluate the enormity or otherwise of non-communicable diseases (NCDs) burden in such low resource settings. We performed this survey to determine the prevalence of NCDs and its risk factors among the Ijegun- Isheri Osun community residents of Lagos, Nigeria.Methods: A community-based cross-sectional survey was performed on 215 respondents recruited consecutively during a population preventive health campaign. Prevalence of three NCDs (hypertension, diabetes and dyslipidaemia) were calculated. Associations between each of these NCDs and selected risk factors were determined using chi square test. Multivariable logistic regression was used to estimate the risk factors of each of the three NCDs.Results: The prevalence of hypertension was 35.3% (95%CI 29.0-42.1), diabetes 4.6% (95%CI 2.2-8.4) and dyslipidaemia 47.1% (95%CI 41.1-54.8). Among the NCD risk factors, the prevalence of smoking was 41.3% (95%CI 34.2-48.6), alcohol consumption 72.5% (95% CI 65.5-78.7), and physical activity 52.9 (95%CI 45.5-60.2). The independent significant predictors of hypertension were age ≥60 years (aOR 4.56; 95%CI: 1.72-12.09) and dyslipidaemia (aOR 5.01; 95%CI: 2.26-11.13). Age ≥60 years (aOR 8.83; 95%CI: 1.88-41.55) was an independent predictor of diabetes. Age ≥60 years (aOR 29.32; 95%CI: 4.78-179.84), being employed (aOR 11.12; 95%CI: 3.10-39.92), smoking (aOR 2.34; 95%CI: 1.03-5.33) and physical activity (aOR 0.34; 95%CI: 0.15-0.76) were independent predictors of having dyslipidaemia.Conclusions: The prevalence of hypertension, diabetes and dyslipidaemia and their associated risk factors are high among the respondents of Ijegun-Isheri Osun community of Lagos state, Nigeria. This highlights the need for further implementation research and policy directions to tackle NCD burden in urban communities in Nigeria. These strategies must be community specific, prioritizing the various risk factors and addressing them accordingly.

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“…Our study shows that almost one in three individuals were overweight or obese and had some of the highest prevalence of hypertension (33.4% and 46%, respectively). Obesity and overweight are known risk factors for hypertension [22,[27][28][29] and independently contributed to 26.2% and 10.8% of the observed inequality. Being obese/overweight increases an individual risk of hypertension especially among individual belonging to the poorest group [12,28,33].…”

Section: Discussionmentioning

confidence: 99%

Socioeconomic Inequalities in Hypertension in Kenya: A Decomposition Analysis of 2015 Kenya STEPwise Survey on Non-communicable Diseases Risk Factors

Gatimu

John²

2020

Preprint

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IntroductionOne in four Kenyans have raised blood pressure. Despite this high prevalence of hypertension and known association between socioeconomic status and hypertension, there is a paucity of evidence on inequality in raised blood pressure in Kenya. Hence, we quantified the socioeconomic inequality in hypertension in Kenya and decomposed the determinants contributing to such inequality.MethodsWe used data from the 2015 Kenya STEP wise survey for non-communicable diseases risk factors. We included 4,398 respondents aged 18–69 years. We estimated the socioeconomic inequality using the concentration index (C) and decomposed the C using Wag staff decomposition analysis.ResultsThe overall concentration index of hypertension in Kenya was − 0.08 (95% CI: −0.14, − 0.02; p = 0.007), showing socioeconomic inequalities in hypertension disfavouring the poor population. Half (52.8%) of the pro-rich inequalities in hypertension was explained by body mass index (52.8%) while 21.1% by socioeconomic factors (paid employment (9.3%), education (7.7%) and poorest wealth quintile (4.1%)) and 17.6% by demographic factors (female gender (11.8%), age (5.2%) and marital status (0.6%)). Regional differences explained 8.1% of the estimated inequality with the Central region alone explaining 6.9% of the observed inequality. Our model explained 98.3% of the estimated socioeconomic inequality in hypertension in Kenya with a small non-explained part of the inequality (− 0.001).ConclusionThe present study shows substantial socioeconomic inequalities in hypertension in Kenya, mainly explained by metabolic risk factors (body mass index), individual health behaviours, and socioeconomic factors. Kenya needs gender- and equity-focused interventions to curb the rising burden of hypertension and inequalities in hypertension.

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Prevalence and factors associated with hypertension and obesity among civil servants in Kaduna, Kaduna State, June 2012

Cited by 20 publications

References 0 publications

Determinants of Mean Blood Pressure and Hypertension among Workers in West Africa

Determinants of Mean Blood Pressure and Hypertension among Workers in West Africa

Prevalence of Non-Communicable Diseases and its Risk Factors among Ijegun-Isheri Osun Residents in Lagos State, Nigeria: A Community Based Cross-Sectional Study

Socioeconomic Inequalities in Hypertension in Kenya: A Decomposition Analysis of 2015 Kenya STEPwise Survey on Non-communicable Diseases Risk Factors

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