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Original Research

Prevalence and pattern of overweight and obesity in three rural communities in southwest Nigeria

, , , , &
Pages 153-158 | Published online: 10 May 2014

Abstract

Background

Limited data exist on the prevalence of overweight and obesity in the Nigerian adult rural population. This study therefore assessed the prevalence and pattern of overweight and obesity in adults in three rural communities of the Ife North Local Government Area, Nigeria.

Materials and methods

A total of 777 adults between 20 and 90 years of age were recruited into this cross-sectional study, which was performed over a 6-month period using a multistage proportional stratified random sampling technique. Sociodemographic data and anthropometric variables were obtained.

Results

A total of 385 (49.5%) men and 395 (50.5%) women participated in the study. The mean age and body mass index of the participants were 36.3±14.3 years and 23.53±4.6 kg/m2, respectively. The overall crude prevalence of overweight and obesity in the total population were 20.8% and 8.4%, respectively. Obesity increased across the age gradient, peaking in the 51- to 60-year age-group in men and women. Among the overweight and obese subjects (n=227), 70.9% of them were overweight and the remaining 29.1% were obese, with class I obesity accounting for 20.7% of these overweight and obese subjects.

Conclusion

The prevalence of overweight and obesity in these communities was 20.8% and 8.4% respectively, indicating a trend towards increased prevalence. Class I obesity is the most common obesity pattern, and obesity increased across the age gradient, peaking in the 51- to 60-year age-group. There is a need for regular community education on healthy lifestyles, and regular health screening to control the rising prevalence of overweight and obesity, as well as to prevent or reduce the risk of obesity comorbidities in these communities.

Introduction

Obesity is associated with an increased risk of multiple health problems and many comorbid conditions, such as cardiovascular diseases, type 2 diabetes, hypertension, certain cancers, and sleep apnea/sleep-disordered breathing.Citation1Citation4 In addition, obesity is becoming a global pandemic,Citation5 and there has been an explosive increase in its prevalence worldwide in recent times.Citation6,Citation7 This has led to increased morbidity and mortality globally.Citation6,Citation7

Cardiovascular diseases produce the greatest morbidity and mortality among these comorbidities, and the greater the obesity, the higher the morbidity and mortality rates.Citation1 Cardiovascular diseases that have been associated with obesity include hypertension, heart failure, arrhythmias, ischemic heart disease, obesity-related cardiomyopathy, stroke, and sudden death.Citation5 The end result of this is loss of productivity and increased burden on health care systems. Altered metabolic profile and changes in the structure and function of the cardiovascular system have been suggested to be responsible for the morbidities seen in obesity.Citation5

The development of obesity has been attributed to the combination of environmental and genetic factors. Presently, there over 35 independent genetic risk loci that have been identified for obesity.Citation8 The genetic loci regulate eating habits as well as body metabolism and the body’s response to exercise and eating.Citation5 These loci lead to the development of obesity in environments favorable to it.Citation5 Increasing numbers of communities worldwide are becoming favorable to the development of obesity or overweight as a result of dietary changes and sedentary living. The prevalence of obesity is rising in urban adult NigeriansCitation9Citation11 and preschool children,Citation12 and mirrors the ongoing global epidemic in children and adults.Citation5 In many communities in Nigeria, there are no inbuilt community facilities to encourage regular exercise, and the combination of poverty and poor nutritional education make individuals adopt poor dietary habits.

Some data exist on the prevalence of overweight and obesity among urban and semiurban adult Nigerians.Citation10,Citation11,Citation13Citation19 However, limited information exists on the prevalence of cardiometabolic risk factors, including overweight and obesity, in the adult Nigerian population, especially in the rural setting.Citation20Citation25

This study therefore assessed the prevalence and pattern of overweight and obesity in adult populations living in three rural communities of the Ife North Local Government Area (LGA) of Osun State, southwest Nigeria. This will further help define the prevalence and pattern of overweight and obesity in this rural population, and also add to the national and global database.

Materials and methods

A total of 777 adults between 20 and 90 years of age from three rural towns of the Ife North LGA of Osun State, southwest Nigeria, were recruited into this cross-sectional study, which was carried out over a 6-month period using a multistage proportional stratified random sampling technique.Citation26 The minimum sample size was determined using the formula for calculating sample size in the population,Citation27 and the population of the LGA was 153,274, according to the 2006 population census.Citation28 The study procedure followed the World Health Organization (WHO) guidelines for conducting community surveys.Citation29,Citation30 The dominant occupation and economic activities of the people of the LGA center around farming, agro-allied productions, trading, artisanship, school administration, teaching, and cottage industries.Citation31 There are civil servants in the services of local, state, and federal governments with other corporate and private businesses. The dominant language is Yoruba, and the LGA is the home of Yoruba ethnic group.Citation31 The permission of the traditional rulers of each community was sought and informed consent obtained from each participant. The participants’ data were collected after community mobilization and consent. The three major towns – Ipetumodu, Edunabon, and Moro – were randomly selected from the seven major towns of Ife North LGA. Ten percent of the census enumeration areas (EAs) were randomly selected from each town which translated to 80 EAs for Ipetumodu, 34 EAs for Edunabon, and 13 EAs for Moro. Six households per EA were randomly selected in Ipetumodu, ten households per EA in Edunabon, and 23 households per EA in Moro. In each household, at least one eligible and consented respondent (aged 20 years and older) was interviewed.

Ethical approval was given by the Ethics and Research Committee of the Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife. All sociodemographic data were obtained by using a standard questionnaire, and anthropometric variables were measured.Citation32 The international classification of adult overweight and obesity according to body mass index (BMI) adapted from the WHOCitation33 was used to define overweight and obesity. Weight was measured in kilograms with a bathroom weighing scale, with subjects standing, arms hanging naturally by the sides, and footwear off. Height was measured using a stadiometer in meters at the crown of the head without any footwear or headgear and the patient looking straight ahead.Citation32

Using this classification,Citation33 BMI was categorized as follows:

  • underweight =<18.5 kg/m2

  • normal =≥18.5–24.9 kg/m2

  • overweight =25–29.9 kg/m2

  • class I obesity =30–34.9 kg/m2

  • class II obesity =35–39.9 kg/m2

  • class III (commonly called severe or morbid obesity) =≥40 kg/m2

Waist circumferences (WC) and hip circumference (HC) were also measured according to the WHO protocol.Citation30,Citation34 WC values ≥102 cm for males and ≥88 cm for females were regarded as abdominal obesity.Citation24

Data analysis

The data were summarized using descriptive statistics (mean, standard deviations, and percentages). Independent t-tests were used to compare the age and physical characteristics of males and females. Significant differences of values of variables across the age-groups were determined by analysis of variance. Multiple comparisons between the groups were performed by one-way analysis of variance with Duncan’s post hoc test. P≤0.05 was considered statistically significant. The data were analyzed using SPSS 16 (SPSS, Chicago, IL, USA) software.

Results

A total of 777 adults participated in the study (385 [49.5%] men and 395 [50.5%] women), as shown in . The meanage and BMI of the participants were 36.3±14.3 years and 23.53±4.6 kg/m2, respectively. The mean BMI for males and females was 23.8±4.6 kg/m2 and 23.2±4.6 kg/m2, respectively, as shown in . The overall crude prevalence of overweight and obesity in the total population was 20.8% and 8.4%, respectively. Obesity using BMI increased across the age gradient, peaking in the 51- to 60-year age-group in men and women (). Mean WC and HC also increased across the age gradient, peaking in the 51 to 60-year age-group in the total population (). Among the overweight and obese subjects (n=227), 70.9% of them were overweight and the remaining 29.1% were obese (). Class I obesity was the most common obesity pattern, accounting for 20.7% among these overweight and obese subjects (), 71.4% of the obese subjects, and 6% of the total study population ().

Table 1 Characteristics of the subjects (n=777)

Table 2 Differences in results between males and females (n=777)

Table 3 Percentage distribution of body mass index by age and sex

Table 4 Values of WC and HC across age-groups (n=777)

Table 5 Prevalence of overweight and obesity of all participants by sex

Discussion

The prevalence of overweight and obesity in these three rural communities of 20.8% and 8.4%, respectively, is less than the prevalence rates of overweight and obesity of 32.7% and 22.2% in an urban community in southwest Nigeria,Citation35 35.1% and 9.8% in north-central Nigeria,Citation36 and 23.4% and 17.1% by Amoah in Ghana,Citation37 respectively. This finding thus corroborates earlier studies that observed a higher prevalence of obesity and/or overweight in urban and semiurban populations compared with rural populations in Africa.Citation10,Citation11,Citation13,Citation15,Citation17,Citation20,Citation38Citation41

Therefore, the prevalence of obesity in these rural communities is less than the 12.5% we obtained in the neighboring semiurban community in Ile-Ife,Citation11 the 21.3% obtained by Sani et al in an urban community in Katsina, northern Nigeria,Citation15 and the 8.82% by Olatunbosun et al obtained in an urban community in Ibadan, southwest Nigeria.Citation10 Oyeyemi et alCitation38 also obtained a overweight prevalence of 22.8% among urban adults in Maiduguri, northern Nigeria, higher than the prevalence of 20.8% in this study.

In addition, Adediran et al,Citation13 in their recent study of anthropometric differences among natives of Abuja, Nigeria living in urban and rural communities, found that all anthropometric indices of overweight and obesity considered in their study were significantly higher in the urban than in the rural population. Overweight and obesity were significantly prevalent among their urban population.Citation13 Ntandou et al in the Republic of Benin also showed a positive rural–urban gradient in the prevalence of abdominal obesity,Citation40 and mean BMI in this study was lower than that reported among adults in an urban area of Abuja, NigeriaCitation39 and US blacks.Citation41 It has been suggested that better nutrition and increased physical activity are responsible for this positive rural–urban gradient.Citation40

Mean WC and HC increased with age, and peaked in the 51- to 60-year age-group. Mean BMI increased with age in both sexes, and peaked in the 51- to 60-year age-group in males and females. This peak is similar to the findings of Adediran et alCitation39 in Abuja, who found the peak in the 50- to 59-year age-group in both sexes.

Earlier reports indicated that the prevalence of obesity in the rural population in Nigeria is relatively low. For example, Okesina et alCitation23 in 1999 reported obesity prevalence of 2% in three rural villages around Maiduguri in northeastern Nigeria. However, recent prevalence reports indicated that the prevalence is increasing, and they confirmed our finding of increased prevalence of overweight and obesity in this rural adult Nigerian population.Citation14,Citation18,Citation20,Citation21,Citation24 Iloh et alCitation25 also reported a high prevalence of obesity among rural adult Nigerians in Imo State, southeastern Nigeria, of 6.0%. They also found that class I obesity (86.1%) was the most common pattern among this rural population, which supported our finding that class I obesity (71.4%) was the most common obesity pattern in our obese subjects.

This study finding of increased prevalence of overweight and obesity in the rural adult Nigerian population, supported by other recent reports,Citation14,Citation18,Citation20,Citation21,Citation24,Citation25 should alert the health authorities at all levels of government and community leaders on the need to include the prevention and control of overweight and obesity as well as the risk of obesity comorbidities in the planning of health services for these rural communities. There should be regular community education on lifestyle modification, and regular health screening to facilitate the early detection of overweight and obesity, as well as the institution of appropriate preventive and therapeutic measures.Citation20,Citation25

Conclusion

The prevalence of overweight and obesity in the three rural communities was 20.8% and 8.4% respectively, indicating a trend towards increased prevalence. Class I obesity is the most common obesity pattern, and obesity increased across the age gradient, peaking in the 51 to 60-year age-group in both men and women. There is a need for regular community education on healthy lifestyles, and regular health screening to control the rising prevalence of overweight and obesity, as well as to prevent or reduce the risk of obesity comorbidities in these communities.

Acknowledgments

This project was funded by a grant given jointly by the US Centers for Diseases Control and the Prevention and International Union for Health Promotion and Education, France.

Disclosure

The authors report no conflicts of interest in this work.

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