Prevalence of obesity and overweight and associated factors among financial institution workers in Accra Metropolis, Ghana: a cross sectional study

Addo, Prince Nii Ossah; Nyarko, Kofi Mensah; Sackey, Samuel Oko; Akweongo, Patricia; Sarfo, Bismark

doi:10.1186/s13104-015-1590-1

Cited by 66 publications

(83 citation statements)

References 48 publications

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“…This finding is consistent with several other studies in Nigeria 8,9 and other African countries. 26,27 This, however, is contrary to the report from most high-income countries 28,29 where male gender was reported to be associated with obesity. Several reasons have been proffered as being responsible for the higher prevalence of obesity found among females.…”

Section: Discussionmentioning

confidence: 63%

Pattern and correlates of obesity among public service workers in Ondo State, Nigeria: a cross-sectional study

Aladeniyi

Adeniyi

Fawole

et al. 2017

South African Family Practice

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Background: Obesity is the third leading cause of mortality and has become a global epidemic. There is a continuous increase in its prevalence both in the developed and in developing countries. Obesity is closely associated with chronic health conditions, thus increasing the overall burden of disease and disability at the population level. Several factors have been identified as contributors to the obesity epidemic, and may include the work environment and lifestyle behaviours. This study sought to determine the correlates of obesity among public service workers in Akure, Ondo State, Nigeria. Method: This was a cross-sectional study involving 4 828 public civil service workers across 47 ministries, departments and agencies in Ondo State, Nigeria. Relevant demographic and lifestyle measures were obtained using the World Health Organization (WHO) STEPwise Questionnaire. Height and weight were measured using standardised procedures. Obesity and overweight were defined according to the WHO Criteria as a body mass index (BMI) of ≥ 30 kg/m 2 and 25-29.9 kg/m 2 , respectively. Bivariate and multivariate (logistic regression models) analyses were used to determine the significant predictors of obesity. Results: Of the total participants (n = 4828), there was a male to female ratio of 1:1 (male = 2 299 and female = 2 529). One in every five participants was found to be obese with 55% of the participants having a BMI ≥ 25 kg/m 2 . In the bivariate analysis, female sex (p < 0.000), age above 41 years (p < 0.000), post-primary education level (p < 0.001), marriage (p < 0.000), no alcohol consumption (p < 0.001), diabetes (p < 0.000) as well as hypertension (p < 0.000) were significantly associated with obesity. In the multivariate analysis, after adjusting for confounders, only female sex (AOR = 5.7, CI = 4.7-6.9), age (AOR = 1.4, CI = 1.1-1.8), level of education (AOR = 0.8, CI = 0.7-0.9), marital status (AOR = 2.1, CI = 1.7-2.), alcohol consumption (AOR = 0.7, CI = 0.5-0.9), diabetes mellitus (AOR = 0.7, CI = 0.5-0.9) and hypertension (AOR = 0.5, CI = 0.4-0.6) were the significant and independent predictors of obesity. Conclusion: This study found a high prevalence of obesity among public service workers in Akure, Nigeria, possibly attributed to ageing, being of female gender, being married, and having other non-communicable diseases. A well-implemented workplace policy focusing on integrated screening for obesity and non-communicable diseases should be prioritised in Nigeria.

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Section: Discussionmentioning

confidence: 63%

Pattern and correlates of obesity among public service workers in Ondo State, Nigeria: a cross-sectional study

Aladeniyi

Adeniyi

Fawole

et al. 2017

South African Family Practice

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“…Similarly, a population survey among 1,521 Nigerian adults found overweight and obesity rates of 32.2% and 19.6% for men and 29.8% and 36% for women respectively [11]. Data from Ghana among financial institution workers showed over half of participants were either overweight (37.8%) or obese (17.8%), with physical inactivity, being married, female gender and increasing age being independently associated with increased body mass [12]. In Cameroon, Fezeu et al showed an almost doubling of the age-standardized prevalence of overweight and obesity in rural settings between 1994 and 2003 [13].…”

Section: Introductionmentioning

confidence: 99%

Body mass index–measured adiposity and population attributability of associated factors: a population-based study from Buea, Cameroon

et al. 2017

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BackgroundObesity is currently a global health challenge driven by a mix of behavioural, environmental and genetic factors. Up to date population-based disease burden estimates are needed to guide successful prevention and control efforts in African countries. We investigated the prevalence and population attributable fractions of overweight and obesity in Buea, the Southwest region of Cameroon.MethodsData are from a community-based cross-sectional study involving randomly selected adults conducted in 2016. Body mass index (BMI) was categorized according to the WHO classification. Multivariable logistic regressions were used to investigate factors independently associated with obesity. Corresponding population attributable fractions were estimated.ResultsAmong the 1,139 participants, age-standardized prevalence (95% CI) of overweight and obesity were; 36.5 (33.7–39.3) and 11.1 (9.3–12.9) percent respectively. Mean BMI was 25.3 ± 4.3 kg/m2; women were heavier than men (25.8 vs. 24.4 kg/m2; p <0.0001). Factors associated with obesity were; female gender [odds ratio 3.20 (95% CI: 1.93–5.59)], age > 31 years [3.21 (1.86–5.28)] and being married [2.10 (1.60–3.51)]. At the population level; older age, being married, low level of education, high monthly income and physical inactivity accounted respectively for 11.9%, 21.8%, 11.6%, 6.4% and 8.7% of overweight and obesity among the women, while older age and being married explained 9.2% and 28.3% of overweight and obesity in men.ConclusionThe prevalence of overweight and obesity in this semi-urban Cameroonian population is high, affecting over a third of individuals. Community-based interventions to control weight would need to take into account gender specificities and socio-economic status.

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“…Office workers have high-risk of overnutrition (overweight and obesity) as one of the risk factors of hypertension because of the higher rate of sit hours and long working hours in the workplace. In most cases, workers had long sitting hours as much as 3 hours/day in average and higher sitting hours related to higher BMI (3,13,14). Beside of BMI, the other indicators of over nutrition that was related to hypertension were waist circumference, waist to hip ratio (WHR), waist to height ratio (WHtR), and body composition such as total body fat (TBF) and visceral fat (VF)) (6-9).…”

Section: Discussionmentioning

confidence: 99%

Association of Body Composition and Anthropometric Measurement with Hypertension among Workers in Universitas Ahmad Dahlan

2020

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Purpose: This study aims to investigate the relationship between anthropometric and body composition measurement with the risk of hypertension among office workers. Methodology:This study was a cross-sectional study in office workers population in Universitas Ahmad Dahlan. The subjects of the study were 125 persons (72 males and 53 females) aged 20 -60 years. The measurement of anthropometry was using an electronic digital scale for weight, microtoise for height, and meter line for waist circumference. In analysing body composition such as total body fat and visceral fat, we were using Bioelectrical Impendence Analyzer (BIA) Body Composition Monitor Omron Karada Scan HBF-375. Blood pressure was measured by an automatic blood pressure monitor OMRON HEM-7120. Hypertension was classified if the blood pressure of systolic ≥140 and diastolic ≥90. The association between risk factors variables and hypertension status was analysed by chi-square test and multiple logistic regression. Results:The prevalence of hypertension was found 18.6% in male and 13.21% in female. All risk factors were similar between male and female (p>0.05). Body mass index (BMI), waist to hip ratio (WHtR), and total body fat were not statistically significant with hypertension status (p>0.05). The statistically significant risk factors of hypertension only found in waist circumference and visceral fat (p=0.036; p=0.002). Results of multivariate analysis, visceral fat remains significant in predicting hypertension, with 4.87 times higher risk of having hypertension in workers if having high visceral fat (95% CI 1.722-13.7831) Applications/Originality/Value: This study shows that the prevalence of pre-hypertension and hypertension among workers were high. Thus, controlling modifiable risk factors is very important. Maintain the waist circumference and visceral fat in normal range with proper healthy lifestyle were needed especially in office workers.

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Prevalence of obesity and overweight and associated factors among financial institution workers in Accra Metropolis, Ghana: a cross sectional study

Cited by 66 publications

References 48 publications

Pattern and correlates of obesity among public service workers in Ondo State, Nigeria: a cross-sectional study

Pattern and correlates of obesity among public service workers in Ondo State, Nigeria: a cross-sectional study

Body mass index–measured adiposity and population attributability of associated factors: a population-based study from Buea, Cameroon

Association of Body Composition and Anthropometric Measurement with Hypertension among Workers in Universitas Ahmad Dahlan

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