Prevalence and factors associated with overweight and obesity among rural and urban women in Burkina Faso

Prevalence and factors associated with overweight and obesity among rural and urban women in Burkina Faso

Jeoffray Diendéré^1,2,&, Jean Kaboré^1,2, Jérôme Winbetourefa Somé^1,2, Gauthier Tougri³, Augustin Nawidimbasba Zeba¹, Halidou Tinto^2,4

 

¹Research Institute for Health Sciences, Bobo-Dioulasso, Burkina Faso, ²Centre Muraz, Bobo-Dioulasso, Burkina Faso, ³Ministry of Health, Ouagadougou, Burkina Faso, ⁴Clinical Research Unit, Research Institute for Health Sciences, Nanoro, Burkina Faso

 

 

^&Corresponding author
Jeoffray Diendéré, Research Institute for Health Sciences, Bobo-Dioulasso, Burkina Faso

 

 

 

 

In low- and middle-income countries (LMICs), the nutrition transition process is accompanied by body weight changes [1,2]. Between 1980 and 2008, the weight gain (in body mass index (BMI), kg/m^²) per decade was estimated at 0.6 (95% CI: 0.0-1.1) and 0.9 (95% CI: 0.4-1.3) in West African men and women aged >20 years, respectively [3]. Overweight/obesity is known to be associated with increased cardiovascular risk [4,5]. During the same period (1980-2008), the increase in fasting blood sugar (mmol/l) per decade was estimated at 0,05 (95% CI: -0.15-0.24) in men versus 0.13 (95% CI: -0.07-0.34) in women in sub-Saharan Africa (SSA) [6]. There was also a gradual shift in the prevalence of individuals with high blood pressure (HBP) in SSA [7], and between 1994 and 2003, blood pressure levels significantly increased in rural Cameroon (for women: +18.2 mmHg for systolic blood pressure (SBP) and +11.9 mmHg for diastolic blood pressure (DBP), and for men: +18.8 mmHg for SBP and +11.6 mmHg for DBP), as well as in urban Cameroon (for women: +8.1 mmHg for SBP and +3.3 mmHg for DBP, and for men: +6.5 mmHg, p<0.001) [8]. Urbanization seems to be implied in the nutrition transition process and health-related change. Urbanization in SSA is coupled with a fundamental change [9] in the traditional lifestyle, dietary patterns, consumption behavior and level of physical activity [10]. The female sex was severely affected by weight gain [11]. In Burkina Faso, a low-income country in SSA, the last General Population and Housing Census (in 2006) counted 14,017,262 inhabitants, with 22.7% of them living in urban areas. No previous study has reported the national prevalence of overweight/obesity and the associated factors in women living in rural and urban Burkina Faso. This study aimed to assess the prevalence of overweight/obesity and the associated factors among rural and urban women in Burkina Faso by using nationally representative data.

 

 

We used data from the Burkina Faso first national survey conducted in 2013, based on the WHO STEPwise approach to Surveillance (STEPS) [12]. The sample size calculation and the data collection process used throughout the country have been reported in two previous papers [13,14]. Complete data from 2438 participating women were available and included data on nutritional status, biological features, and alcohol and tobacco consumption. We conducted the analysis using the data for 2191 women, after excluding those who were pregnant.

 

Variables of interest

 

Participant demographic information included age (ranging from 25 to 64 years), marital status (groups: i. married or cohabitating, ii. never married, iii. divorced or separated, iv. widowed), residence environment (i. urban, ii. rural), education levels (groups: i. no formal schooling, ii. primary or more), occupation (groups: i. public or private formal employment or self-employed, ii. student or homemaker or retired or unemployed or volunteer). Anthropometric data were weight (kg), height (m), BMI (weight/height², kg/m²) and waist circumference (cm). We defined overweight/obesity as BMI ≥25 kg/m². Biological data included total cholesterol (mmol/l), high density lipoprotein cholesterol (HDL-cholesterol in mmol/l, a cut-off of >1.2 mmol/l was defined as a high level) and fasting blood sugar (mmol/l, having a level ≥6.1 mmol/l was defined as high blood sugar). Blood pressure (systolic and diastolic values in mmHg) was measured three times, and we used the mean of the three values for each indicator. High blood pressure was defined as a mean value of SBP/DBP ≥140/90 mmHg or actively undergoing anti-hypertension treatment. Data on current (past month) alcohol use were recorded by the self-reported alcohol consumption technique. Current (past year) smoking tobacco use considered manufactured cigarette smoking, hand-rolled tobacco smoking, and pipe smoking. Urbanization was characterized using urbanization rates for the 13 Burkinabe regions provided by the “Institut National des Statistiques et de la Démographie (INSD)” in 2006. The urbanization rate of the region was calculated as the proportion of inhabitants living in urban areas in the region. The national mean rate of urbanization was 23.33% (minimum = 6.6%, maximum = 85.4%), and the quartile cutoffs were 8.1, 11.8 and 19.3. Four regions were included in the first quartile (Q1) or in the second quartile (Q2), three in the third quartile (Q3) and two (of the “Centre” and “Hauts-Bassins” regions) in the fourth quartile (Q4) (Figure 1). The two regions in this last quartile include the political capital Ouagadougou (located in the “Centre” region) and the economic capital Bobo-Dioulasso (in the “Hauts-Bassins” region) and were the living areas for approximately 62% of the urban dwellers of the country (46.4% for Ouagadougou, 15.4% for Bobo-Dioulasso). These two regions are densely urbanized (Figure 1).

 

Statistical analysis

 

We used Stata statistical software for Windows (Version 12.0, College Station, StataCorp, Texas, United States) for the analysis. First, we described the socio-demographic characteristics of the participants for the whole sample and for the rural and urban subgroups. Similarly, we described the clinical, nutritional and biological features based on the urbanicity status and overweight/obesity status. After that, we performed a multivariate logistic regression on the overall sample to estimate the odds ratios of factors associated with overweight/obesity in women. We included in the final model all variables with a p-value <0.20 in the univariate analyses, except for multinomial variables, where the overall p-value in the univariate analysis was considered. A backward stepwise approach was used to construct the final model, and interactions were tested in the overall sample and subgroup analyses (residence environment). For all statistical analyses, a p-value <0.05 was considered significant.

 

Ethical considerations

 

The protocol of the STEPS survey was approved by the Ethics Committee for Health Research of the Ministry of Health (deliberation N^o: 2012-12092; December 05, 2012). Informed consent was systematically sought from all participants. The “Centre Muraz” (to which the authors are affiliated), a Research Institute of the Ministry of Health, has a clearance to use the database.

 

 

The overweight/obesity prevalence was 19.6% (95% CI: 18.0-21.4) in the overall sample of women and was more pronounced in urban women than in rural women (44.0% (95% CI: 39.5-48.7) and 13.1% (95% CI: 11.6-14.8)) respectively with p<0.0001 and roughly increased with the quartile of urbanization rate (p<0.0001) (Table 1). Compared to rural women, urban women had significantly higher BMI, waist circumference, SBP, DBP, glycemia and total blood cholesterol and frequently had HBP (Table 2). Compared to those without overweight/obesity, overnourished women showed a similar trend (Table 2). Using a logistic regression model, we showed in Table 3 that a rural environment (adjusted odds ratio (aOR)=0.45; 95% CI: 0.33-0.62), low quartiles of urbanization rate (global p-value < 0.0001) and no education (aOR=0.68; 95% CI: 0.50-0.91) were protective factors and independently associated with overweight/obesity in the overall sample of women (Table 3). In addition, overweight/obesity was associated with increased DBP levels (aOR=1.04; 95% CI: 1.03-1.05) and total cholesterol (aOR=1.29; 95% CI: 1.14-1.46) for the whole sample. A marginally significant and positive interaction between age and glycemia was found (p=0.089).

 

In the subgroup (rural or urban) analyses (Table 4), there was a similar association between urbanization rate and overweight/obesity, with roughly the same strength. The odds ratio for overweight/obesity was associated with increased total cholesterol levels (aOR=1.26; 95% CI: 1.07-1.48) in rural women, while the interaction effect between total cholesterol and age category was significantly associated with overweight/obesity in urban women (overall p=0.08). Regarding blood pressure, only an increase in DBP (aOR=1.02; 95% CI: >1.00-1.04; p=0.032) and not in SBP (aOR=1.01; 95% CI: >0.99-1.02; p=0.062) was significantly associated with overweight/obesity in rural women, while in urban women, the increase in both DBP (aOR=1.15; 95% CI: 1.04-1.28) and SBP (aOR=1.08; 95% CI: 1.01-1.16) were significantly associated. Current alcohol intake was significantly protective against overweight/obesity in rural areas (aOR= 0.67; 95% CI: 0.46-0.96), whereas it had a marginal association with overweight/obesity (aOR=1.59; 95% CI: 0.98-2.58; p=0.062) in urban areas. In rural areas, the presence of dental symptoms was negatively associated with overweight/obesity in rural women. Among socio-demographic factors, education and marital status and age were associated with overweight/obesity in rural and urban women, respectively. Rural women with no education were less overweight/obese than single urban women or urban women aged 34-49 years. When testing the interaction between DBP and SBP in rural and urban women, a significant association was observed in the subgroup of urban women (p=0.042).

 

 

Overall, in this study, we found that approximately one out of five women was overweight/obese, with a large difference according to living area (13% and 44% in rural and urban women, respectively).

 

Overweight/obesity and cardiovascular risk factors in the overall sample

 

The findings in this study were consistent with the results reported in a previous study among peri-urban and urban residents in Uganda [15] and strongly suggested considering this phenomenon with regard to the environment. Indeed, living in rural areas (aOR=0.45; 95% CI: 0.33-0.62) or in regions belonging to the low quartiles of the urbanization rate (aORs=0.56 to 0.36; global-p=0.0001) were protective factors against overweight/obesity and reflected the impact of urbanization on the nutrition transition. Overweight/obesity was associated with cardiovascular disease risks in the overall sample, as it was in each subgroup of rural and urban women. The first concern was the risk of increased DBP, with an aOR=1.04 in women overall and 1.02 and 1.15 in rural and urban women, respectively (Table 3, Table 4). Only urban women with overweight/obesity had an additional risk of increased SBP, with an aOR=1.08 (Table 4). The prevalence of HBP was greater in urban women than in rural women (31.2% vs 13.5%, respectively; p=0.0001) (Table 2). The second serious cardiovascular concern was the increased total cholesterol level, with an aOR=1.29 in women overall, 1.26 in rural women and 1.73 in urban women (via an interaction in the 35-49 years subgroup). These concerns were in line with those of the WHO in LMICs and reported by some authors in SSA [16,17] as was cardiovascular risk worsening in urban areas [18].

 

Rural women

 

The overweight/obesity prevalence in rural Burkinabe women (13.1%, 95% CI: 11.6-14.8) was similar to the results of a previous study in rural women in Ghana (15.6% for those aged 19-49 and 18.4% for those aged 40-60 years) [19,20]. A low prevalence of 6.5% was observed, but only among women aged 40-60 years in rural Burkina Faso [21]. A number of studies in rural women in several other African countries reported a higher prevalence: 21.1% in Kenya [22], 22.0% in Tanzania [23], 22.3% in Senegal [24], 28.4% in Angola [25], 29.9% in Nigeria [26], 36.7% in Zambia [16] and 58.9% in Black South Africa [27]. No education had a protective effect on overweight/obesity (aOR=0.55; 95% CI: 0.36-0.83; Table 4), and Wagner et al. reported that in South Africa, a high level of education was a risk factor for overweight/obesity (using a multiple linear regression analysis, exp (β)=1.10, 95% CI: 1.03-1.18 for the tertiary level referring to no formal education) [11]. Women with a high-income level may have more food availability but an unhealthy consumption behavior, resulting in nutritional insecurity. Current alcohol consumption was negatively associated with a risk of overweight/obesity in rural areas (aOR=0.68; 95% CI: 0.47-0.98), as it was in South Africa (using a multiple linear regression analysis, exp (β)=0.70; 95% CI: 0.52-0.94 for current nonproblematic consumption referring to no history of consumption) [11]. Ghrelin hormone increased the gastric emptying rate in normal humans and lowered the hunger rate [28], and alcohol has an acute inhibitory effect on human ghrelin secretion [29]. Rural areas in Burkina Faso usually have a low food availability, and rural women adjust to hunger through alcohol consumption, which suggests an undernourished situation. The presence of oral or dental symptoms was also negatively associated with the presence of overweight/obesity (aOR=0.61, 95% CI: 0.42-0.89) (Table 4). These symptoms might be related to eating difficulties/swallowing impairment resulting in insufficient food intake, causing undernourishment. The hypothesis that alcohol consumption, or the presence of oral or dental symptoms, is positively associated with undernourishment in rural women needs to be tested.

 

Urban women

 

The overweight/obesity prevalence among urban Burkinabe women (44.0% using the WHO STEPwise database, 2013) was similar to the results reported in 2008 in women living in urban Benin using the same STEPS approach (41.3%) [30], and in Ghana (45.7%) [31], Mozambique (39.4%), Senegal (48%) [32] and Kenya (43.4% among Nairobi women) [33]. A lower prevalence (34.6%) was reported among urban Zambian women [34] and Ethiopians (12.1%, WHO STEPwise survey) [35]. The overweight/obesity trends mimicked urbanization features (prevalence of 10.2% to 42.0%, aORs=0.52 to 0.07, according to the quartile of urbanization rate, (Table 4)), and urbanized environments seemed not to favor healthy lifestyle behaviors. For instance, the use of motorcycles is common in Burkinabe cities and may increase sedentariness in citizens. In addition, women in cities might spend more time using screens (e.g. television and telephones with or without data services). These factors have been associated with obesity in women living in Accra (aOR=1.57, 95% CI: 1.20-2.07 for ownership of a television and aOR=1.55, 95% CI: 1.22-1.98 for telephone use) [36] and in Addis Ababa, where the odds ratio increased over time (aOR=1.89; 95% CI: 1.27-2.81 in 2005, and aOR=2.28; 95% CI: 1.12-4.65 in 2011, for women who watched television) [37]. The effect of these new behaviors on overweight/obesity development needs to be studied in Burkina Faso. Nonetheless, a regional and sex-specific variation in BMI distribution has been previously reported in SSA [38]. Women who used hormonal contraception (pills, intrauterine device, injections, or implants) were also more likely to be overweight than women not using any contraception method [37]. Unfortunately, we were not able to test the contraception use in the present study because this information was not collected. The subgroup of 35- to 49-year-old women was at lower risk of overweight/obesity, possibly because of the choice of our reference group (25-34 years), which might include more rural-to-urban migrants, usually considered to be at high risk for overweight/obesity [39]. Compared to married/cohabiting women, single women were less likely to be overweight/obese (aOR=0.52, 95% CI: 0.31-0.86); a similar relationship has been found in Kenyan women (when singles were the reference, aOR=1.73, 95% CI: 1.42-2.08 for married or living with a partner) [37]. Out-of-home food consumption was an emerging practice among Burkinabe citizens [40]. Those who were married/cohabiting might have a better socioeconomic position [41] and an increased number of mealtimes; they would be used to having out-of-home food for conviviality and friendship and in-home food intake to honor their partner. Current alcohol consumption was marginally associated with overweight/obesity in our results (aOR=1.59, 95% CI: 0.98-2.58; p=0.062); this was clearly shown by Asiki et al. in a previous study (using a bivariate analysis, an increase in BMI was associated with current nonproblematic alcohol use, β=+0.075; 95% CI: 0.003-0.148) [42]. Alcohol is a psychoactive substance, and Canton et al. reported that above a certain threshold, alcohol appears to stimulate appetite, in part due to elevated levels of subjective hunger [43].

 

 

The prevalence of overweight/obesity in urban women in Burkina Faso was among the highest levels in urban SSA. The distribution of overweight/obesity prevalence roughly mimicked the country's urbanization profile. The lower prevalence in rural Burkina Faso might be related to the impaired food availability and more frequent undernourishment. Risk factors for cardiovascular disease, such as increased levels of blood total cholesterol or DBP with or without increased levels of SBP, were associated with overweight/obesity. In particular, the worsening of both blood pressure and total cholesterol levels in women with overweight/obesity were more severe in urban Burkina Faso. Relevant modifiable risk factors for overweight/obesity, especially those related to positive lifestyle behavior, should be promoted to reduce the prevalence and related factors for overweight/obesity.

 

 

The authors declare no competing interests.

 

 

Jeoffray Diendéré, Jean Kaboré and Jerome W. Somé contributed to draft the manuscript. Gauthier Tougri, N. Augustin Zeba, Halidou Tinto reviewed and provided the first interpretation of the results. All authors read and approved the final manuscript.

 

 

The authors thank the Ministry of Health for providing them with the STEPS survey database, and Kaboré Ilyasse for figure management.

 

 

Table 1: socio-demographic characteristics according to living area in the overall sample (n=2191)

Table 2: nutritional, clinical and biological lifestyle features of women according to their living area and overweight and obesity status (n=2191)

Table 3: factors associated with overweight and obesity among overall women in Burkina Faso from the multivariate analysis (n=2191)

Table 4: factors associated with overweight and obesity in the subgroup of rural and urban women in Burkina Faso from the multivariate analysis

Figure 1: urbanization gradient of the 13 regions of Burkina Faso based on the last (2006) General Population and Housing Census

 

 

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