Abstract
Background:
Childhood obesity is an emerging epidemic in the developing countries, particularly in the urban settings. This study examines the prevalence of overweight and obesity among school-aged children and the maternal preventive practices against childhood obesity.
Methods:
This is a cross-sectional study of school-aged children aged 6-13 years and mothers from two Local Government Areas of Lagos State, Southwest Nigeria. Multi-stage sampling technique was used to select study areas and participants, while data were collected using an interviewer administered questionnaire. The Body Mass Index (BMI) of children were determined using the World Health Organisation (WHO) 2007 reference charts. Chi-square test was used to analyze categorical variables and logistic regression analyses were conducted to determine the factors associated with the nutritional status and maternal childhood obesity preventive practices. All analyses were conducted using the Statistical Package for Social Sciences (SPSS) 21.
Results:
In all, 440 children comprising of 232 boys (52.7%) and 208 girls (42.3%) were studied. Of these, 29 of the participants (6.6%) were overweight, while 39 of them (8.9%) were obese. Most of the children (71.2%) consumed root/tubers and processed cereals while 9 (0.02%) and (17) 0.04% consumed fruits and vegetables. BMI was only significantly related to child age and sex. In all, 243 mothers (55.2%) had good practices against childhood obesity. Levels of maternal preventive practices were not significantly associated with child BMI.
Conclusions and Global Health Implications:
Overweight/obesity among school-aged children in Lagos is high. Only half of the mothers were involved in preventive practices against childhood obesity. There is need for continuous education and advocacy concerning healthy diet and other preventive strategies against childhood obesity in Lagos, and potentially other parts of the developing world.
Keywords: Overweight, Obesity, School-age children, Childhood Maternal preventive practices, Lagos, Nigeria
1. Introduction
1.1 Background
Childhood obesity is a global epidemic and is now one of the most serious challenges of public health in the 21st century1 particularly in the urban settings.1-3 The rising rate of childhood obesity in some developing countries is as high as that of developed countries2 and children in low and middle-income countries are exposed to high-fat, high-sugar, high-salt, energy-dense, and micronutrient-poor foods, which tend to be lower in cost but also, lower in nutrient quality.2,3 These dietary patterns, in conjunction with lower levels of physical activity, result in sharp increase of obesity in children.3,4
In 2013, the prevalence of overweight and obesity among children in developing countries was documented as 12.9% (12.3-13.5%) for boys and 13.4% (13.0-13.9%) in girls.6 Around this period, the obesity prevalence of 7.5% was reported in school children aged 6-12 years in Tamale Metropolis of Ghana7 while in Tanzania a prevalence of 22.6% for obesity and overweight was reported.8 In Nigeria, a prevalence of 3.7% was documented in 2007 among school aged children in Lagos Nigeria.9 However, by 2014 the prevalence of obesity among school children aged 6-11 years residing in Lagos State Island area, Nigeria had increased to 11.5%.10
Excessive weight gain during childhood can result from several factors, however, parental influence on the feeding habits of children and dietary intake has been found to be very important, amongst other factors.2,6-7,11 Previous studies have documented a relationship between child body mass index (BMI) and maternal behaviors, namely restrictive feeding practices, pressure to eat and concern for weight.12 However, there is still a paucity of such studies in school-aged children and their mothers within the Nigerian context. Feeding children with calorie-dense foods/fast foods, rewarding good behavior with food are known to contribute significantly to childhood obesity.2,6-7,12
In developing countries like Nigeria, a lot of attention has been paid to nutrition and assessment of nutritional status in children under the age of five, however, nutrition in school-aged children has received less attention and scrutiny.13, 14 Furthermore, the awareness of obesity, its negative impacts and prevention among mothers is low and there is the misperception that heavy weight status is possibly a sign of successful parenting.15,16 Parents play a crucial role in the formation of dietary habits and patterns of physical activity in children, thus failure of parents to recognize obesity constitute a significant barrier to its prevention.17,18
1.2 Objective
This study examines the prevalence of overweight and obesity in school-aged children and the preventive practices of mothers against childhood obesity.
2. Methods
2.1. Study variable
This was a community based cross-sectional study carried out over a nine-month period (March to November 2017) in Lagos, South Western Nigeria. The study population consisted of pairs of apparently healthy children aged 6 to 13 years and their mothers.
The sample size was determined using the Cochran’s formula19 for prevalence studies. The minimum sample size was calculated using 39.4% prevalence of malnutrition among school-aged children in Sagamu area in Lagos, Nigeria,20 with 95% confidence interval, 5% degree of absolute precision with 1.96 as standard normal deviation, and 20% assumed attrition. The minimum sample size was determined to be 440.
Multistage sampling technique was used to determine the respondents. Mother-child pairs and two local government areas (LGAs) were selected from the 20 LGAs in Lagos State using simple random sampling method (balloting). Two wards were then selected from each LGA by the same method, to obtain four wards. Thereafter, five streets were selected from each of these wards by simple random sampling technique to obtain 20 streets. Subsequently, 22 houses were selected from each street by a similar technique (balloting) for the study. In a situation where there was more than one household in the selected house, simple random sampling was employed to choose one household and the index child and his/her mother were included in the study. The index child was the youngest child in the family. The study was carried out using anonymous, self-administered and interviewer-based structured questionnaires which was in English Language. The non-English speaking respondents had translations from interviewers who understood Yoruba, the predominant local language. The questionnaire was designed to assess the nutritional status of the children and elicit information from their mothers about preventive practices against obesity in their children. Information obtained using the questionnaire included the socio-demographic characteristics, food consumption pattern, physical activity level, preventive practices of the mothers using excerpts from Birch and Fisher’s child feeding questionnaire (CFQ).11 CFQ is a validated and accepted tool which has been used to examine the relationship between parental feeding practices, child’s weight and dietary intake.11 The CFQ contains four factors that determine how parents can control the child’s diet or feeding namely: (1) Perceived Feeding Responsibility, (2) Perceived Parent Overweight, (3) Perceived Child Overweight, (4) Concerns about Child Overweight) and three factors that assess dimensions of control in child feeding: (1) restriction, (2) monitoring, and (3) pressure to eat.11
The CFQ has a reliability of up to 86% and validity of more than 70%.21 Age-and sex-specific prevalence of overweight and obesity were determined by BMI-for-age Z-scores using the criteria defined by the World Health Organization (WHO) growth reference (2007) for children aged 5-19 years.22
The questionnaire was pretested amongst 20 mothers in Mushin LGA, one of the two study LGAs, and the feedback was used to correct all ambiguities. The questionnaire was validated by experts in the Department of Epidemiology/Community Health for use prior to the commencement of the study. The variables included in the preventive practices were excerpts from the Birch and Fisher’s CFQ.11 and included components of restriction of the child’s diet, pressure to eat, and concern for child’s weight (Appendix 1).
The researchers designed a scoring system to determine the level of preventive practices of mothers against childhood obesity following review of previously documented systems.
The maximum possible score from the questionnaire was 75. A score of 0 to 25 was defined as “poor preventive practice;” scores of 26 to 50 were defined as “fair preventive practice;” and scores of 51 to 75 were defined as “good preventive practice.”
2.2 Statistical Analysis
The data were analyzed using the Statistical Package for Social Sciences (SPSS) version 21.23 Frequencies, proportions, means, and standard deviations [SD]) were calculated for all of the items on the questionnaire. Categorical variables were compared using the chi square test. Logistic regression analysis was used to determine the factors associated with BMI and levels of maternal preventive strategies against childhood obesity controlling for covariates. The level of significance was set at p < 0.05.
2.3 Ethical approval
Ethical approval for this study was obtained from the Health Research and Ethics Committee of Lagos University Teaching Hospital. Permission was obtained from the office of the two chairmen of the LGAs selected for the study. Informed consent was obtained from each respondent after the nature and the purpose of the study was explained. The confidentiality of the information obtained was also ensured by anonymous coding of the personally-identifying details of each study participant.
3. Results
A total of 440 mother-infant pairs were interviewed in the study. Based on the responses, interviewers completely and appropriately filled all the 440 questionnaires. Thus, the response rate for this study was 100%.
3.1 Socio-demographic characteristics
Four hundred and forty children comprising of 232 boys (52.7%) and 208 girls (47.3%) were enrolled in the study. The male-female ratio was 1:1 and the mean Standard Deviation (SD) age of the participants was 9.4 (2.2) years. In all, 269 mothers (61.1%) were aged between 34 and 41 years with a mean SD maternal age of 36.2 (4.5) years. Four hundred and 12 mothers (93.6%) were married and 260 mothers (59%) had at least secondary education. One hundred and seventy four participants (39.5%) were unemployed. Similarly, 384 mothers (70.9%) were low income with income less than 80,000 naira/month.
3.2 Frequency of meals and patterns of food consumption in the children.
Twenty one children (4.7%) ate more than 3 times daily, while 54 children (12.2%) skipped breakfast at least once a week. Eleven children (2.5%) children ate daily in local restaurants (called “bukkas”) while 221 children (44.5%) bought lunch at school (Table 1).
Table 1.
Meal frequency and food consumption pattern of the school-aged children
| Variable (N=440) | Frequency (N) | Percentage (%) |
|---|---|---|
| Meal frequency per day | ||
| Less than 3 times | 2 | 0.45 |
| 3 times | 417 | 94.77 |
| More than 3 times | 21 | 4.77 |
| Breakfast frequency per week | ||
| Never | 0 | 0.00 |
| 1-2 days | 1 | 0.23 |
| 3-4 days | 1 | 0.23 |
| 5-6 days | 52 | 11.82 |
| Everyday | 386 | 87.73 |
| Feeding frequency in bukka/restaurant per week | ||
| Never | 185 | 42.05 |
| 1-2 days | 110 | 25.00 |
| 3-4 days | 118 | 26.82 |
| 5-6 days | 16 | 3.64 |
| Everyday | 11 | 2.50 |
| Meal at school | ||
| Child buys lunch in school | 127 | 28.86 |
| Child takes food from home to school | 150 | 34.09 |
| Both | 69 | 15.68 |
| Neither | 94 | 21.36 |
A significant proportion of the children (307, 63.8%) consumed processed cereals (e.g., noodles, spaghetti and cornflakes), while 359 children (81.8%) consumed bakery products which include cake, meat-pie, doughnut and other salty snacks daily. Roots and tubers were consumed by 317 children (71.2%) daily. The recommended daily fruits and vegetable consumption of 2 servings was achieved by 0.02% and 0.04% of the children respectively. Dairy products were consumed by 0.03% of the children daily. In all, 66 children consumed sweets and chocolates; 20 children consumed beverages; and 3 children consumed carbonated soft drinks.
3.3. Physical activity and sedentary activities of the children.
Table 2 shows the patterns of physical activity of the children in the study. In all, 284 children (64.6%) walked to school; 153 children (34.8%) used the school bus/public transport and 26 children (6%) were driven to school by their parents/guardians. Majority of the children (399, 90.9%) participated in games that involved physical activity and jogging/walking. In all, 426 (97.0%) of children met the recommended duration (at least 1 hour per day) of physical activity. Watching television and staying idle in doors were the prevalent sedentary activities among the children.
Table 2.
Physical activities and sedentary activities of the school-aged children
| Variable (N=440) | Frequency (N) | Percentage (%) |
|---|---|---|
| Means of getting to school | ||
| Walk to school | 284 | 64.6 |
| Driven in car to school | 24 | 6.0 |
| Ride bicycle to school | 2 | 0.4 |
| Joins school bus/public transport | 130 | 34.8 |
| Physical activities | ||
| Playing football | 190 | 43.1 |
| Swimming | 0 | 0 |
| Skipping | 37 | 8.4 |
| Jogging/Walking | 403 | 91.5 |
| Dancing | 20 | 4.5 |
| Games involving physical activity | 400 | 90.9 |
| Chores involving physical activity | 165 | 37.50 |
| Duration of sedentary activities per day | ||
| < 1 hour | 13 | 2.9 |
| 1-3 hours | 272 | 62.2 |
| 3-6 hours | 145 | 33.1 |
| >6 hours | 7 | 1.6 |
| Sedentary activities | ||
| Watching TV | 393 | 89.3 |
| Playing video games | 73 | 16.5 |
| Spending time on computer/tablet/phone | 131 | 29.7 |
| Staying indoors idle | 339 | 77.0 |
| Playing card/ludo games | 36 | 8.1 |
| Duration of sedentary activities per day r of meals per daytransport | ||
| < 1 hour | 3 | 0.6 |
| 1-3 hours | 240 | 54.7 |
| 3-6 hours | 162 | 36.9 |
| >6 hours | 33 | 7.5 |
Means of getting to school=transportation to school.
3.4. Nutritional status of the children
Table 3 outlines the nutritional status of the children in the study. The prevalence of overweight among the school-aged children was 6.6%, while the prevalence of obesity was 8.9%. Table 3 shows the BMI categories and sex distribution. In the study, 75 female children (17.2%) were overweight and 46 of them (10.6%) were obese compared to 26 males.
Table 3.
Nutritional status of school-aged children in lagos state based on BMI-for-age
| BMI Category | Female | Male | Total |
|---|---|---|---|
| n % | n % | n % | |
| Severe Thinness (< -3SD) | 15 7.21 | 27 11.6 | 42 9.6 |
| Thinness (-3SD to <-2SD) | 9 4.33 | 21 9.0 | 30 6.8 |
| Normal (-2SD to 1SD) | 147 70.67 | 153 65.9 | 300 68.2 |
| Overweight (>1SD to 2SD) | 15 17.21 | 14 6.0 | 29 6.6 |
| Obese (>2SD) | 22 10.58 | 17 7.3 | 39 8.9 |
| Total | 208 100 | 232 100 | 440 100 |
Notes: BMI=Body Mass Index; SD=Standard deviation; N=Number; %=Percentage
3.5. Maternal Preventive practices
Table 4 shows the preventive practice of mothers against childhood obesity. Specifically, 111 mothers restricted their children from eating too much sweet while 22 mothers (5.2%) offered sweets as reward for good behavior. Few mothers (1.6%) pressurized their children to finish all the food while eating. Majority of the mothers (414) were at least sometimes concerned about their child becoming overweight.
Table 4.
Mothers’ Preventive practices against childhood obesity through restriction
| Variable | Never (%) | Rarely (%) | Sometimes (%) | Often (%) | Always (%) |
|---|---|---|---|---|---|
| Maternal Restriction | |||||
| Ensure child does not eat many sweets | 3 (0.68) | 73 (16.59) | 207 (47.05) | 112 (25.45) | 45 (10.23) |
| Ensure child does not eat many high fat food | 0 (0.00) | 22 (5) | 120 (27.27) | 247 (56.14) | 51 (11.59) |
| Ensure child does not eat too much of favorite food | 1 (0.23) | 29 (6.59) | 105 (23.68) | 231 (52.50) | 74 (16.82) |
| Keep some food out of child’s reach | 3 (0.68) | 78 (17.73) | 166 (37.73) | 154 (35.00) | 39 (8.86) |
| Offer sweets as reward for good behavior | 78 (17.73) | 236 (53.64) | 103 (23.41) | 23 (5.23) | 0 (0.00) |
| Offer favorite food as reward for good behavior | 29 (6.59) | 217 (49.32) | 170 (38.64) | 24 (5.45) | 0 (0.00) |
| Child eating too much junk food if not regulated | 1 (0.23) | 87 (19.77) | 264 (60.00) | 84 (19.09) | 4 (0.91) |
| Child eating too much favorite food if not regulated | 0 (0.00) | 31 (7.05) | 247 (56.14) | 154 (35.00) | 8 (1.82) |
| Pressure to Eat Child eats all food on table | 65 (14.77) | 287 (65.23) | 81 (18.41) | 7 (1.59) | 0 (0.00) |
| Ensure child eats enough | 112 (25.45) | 156 (35.45) | 131 (29.77) | 36 (8.18) | 5 (1.14) |
| Making child eat even when not hungry | 263 (59.77) | 120 (27.27) | 48 (10.91) | 9 (2.05) | 0 (0.00) |
| Child eats less if not regulated | 244 (55.45) | 143 (32.50) | 38 (8.64) | 15 (3.41) | 0 (0.00) |
| Concerns about child weight | |||||
| Concerns about child eating much | 4 (0.91) | 115 (26.14) | 260 (59.09) | 57 (12.95) | 4 (0.91) |
| Concerns about child dieting for desirable weight | 3 (0.68) | 54 (12.27) | 229 (52.05) | 150 (34.09) | 4 (0.91) |
| Concerns about child becoming overweight | 2 (0.45) | 23 (5.23) | 149 (33.86) | 245 (55.68) | 21 (4.77) |
%- Percentage
Table 5 shows the levels of the maternal preventive practice and the relationship with the child nutritional status. There were 242 mothers (55.2%) who had good dietary practice against obesity in their children. However, there was no statistically significant association between the levels of preventive practices of mothers and the nutritional status of the children.
Table 5.
Levels of preventive practices of mothers and nutritional status of children
| Preventive practice level | Frequency (n) | Percentage (%) | N (%) |
|---|---|---|---|
| Poor | 0 | 0 | 0 |
| Fair | 197 | 44.8 | 197 (44.8) |
| Good | 243 | 55.2 | 243 (55.2) |
| **Preventive Practice level | Undernutrition N (%) | Normal N (%) | Obese N (%) |
| Poor | 0 (0) | 0 (0) | 0 (0) |
| Fair | 34 (17.26) | 131 (66.50) | 32 (16.24) |
| Good | 38 (15.64) | 169 (69.55) | 36 (14.81) |
Notes: % = Percentage; P<0.05 (significant),
P value of preventive practice level and nutritional status=0.792
3.6. Determinants of the nutritional status and maternal preventive practices against childhood obesity.
Table 6 presents our evaluation of the possible determinants of the nutritional status of study participants using multivariate analysis. Child age (reference category >10 years; odds ratio (OR)=0.6, p=0.002) and sex (reference category female: OR= 0.2, p=0.029) of the child were significantly associated with the nutritional status. The possible determinants of the maternal preventive practices were also evaluated using the same technique. Only child gender (reference category -female, OR=1.97, p=0.004) was significantly related to the maternal preventive practices.
Table 6.
Logistics regression analysis of determinants of child nutritional status and maternal preventive practices against childhood obesity
| Child Nutritional status | |||||
|---|---|---|---|---|---|
| Variable | β | SE | Odds Ratio | 95% CI | P-value |
| Age | -0.40 | 0.13 | 0.668 | 0.515-0.868 | 0.002 |
| Sex | -1.22 | 0.56 | 0.295 | 0.099-0.880 | 0.029 |
| Maternal education | -0.55 | 0.82 | 0.574 | 0.116-2.841 | 0.496 |
| Maternal Occupation | -0.33 | 1.16 | 0.773 | 0.881-1.005 | 0.716 |
| Income | 0.67 | 0.59 | 1.96 | 0.610-6.330 | 0.258 |
| Maternal BMI | -0.03 | 0.05 | 0.964 | 0.964 | |
| Food consumption | 1.05 | 0.91 | 2.85 | 0.482-16.916 | 0.248 |
| Duration of Sedentary activities | -0.32 | 0.50 | 0.728 | 0.271-1.954 | 0.728 |
| Maternal obesity preventive practices | |||||
| Parameter | β | SE | Odds ratio | 95% CI | P-value |
| Child’s Age | -0.09 | 0.05 | 0.92 | 0.825-1.015 | 0.094 |
| Child’s Gender | 0.68 | 0.23 | 1.97 | 1.248-3.124 | 0.004 |
| Maternal Education | 0.055 | 0.34 | 1.06 | 0.540-2.064 | 0.873 |
| Maternal Occupation | -0.162 | 0.45 | 0.85 | 0.354-2.044 | 0.707 |
| Income | 0.153 | 0.27 | 0.58 | 0.682-1.991 | 0.576 |
| Marital status | 0.819 | ||||
| Single | 0.364 | 1.59 | 1.44 | 0.063-32.806 | |
| Married | 1.080 | 1.48 | |||
| Religion | 0.21 | 0.28 | 1.23 | 0.710-2.132 | 0.461 |
| Child BMI | -0.59 | 0.52 | 0.26 | 0.198-1.550 | 0.554 |
Notes: Food consumption=Number of meals/day; BMI=Body Mass Index
4. Discussion
4.1 Discussion
In this study, 68.1% of the children had normal BMI while the prevalence of overweight and obesity were 6.5% and 8.9%, respectively. The prevalence of under nutrition and over nutrition were similar (16.3% and 15.4%, respectively). This reflects the present pattern in the developing countries with double burden of undernutrition and overnutrition.9-10,13-15,17 Presently, a triple burden is now being described with the additional issue of micronutrient deficiency otherwise known as hidden hunger.9-10,13-15,17
The observed prevalence of obesity of 8.9% in this study is higher than 3.7% documented in Lagos in 20019 demonstrating the rising trend in obesity in the state. Similar observations have been reported from the south eastern states of the country namely Enugu, Enugu State (10.7%)24 and Uyo, Akwa Ibom State (11.3 %).17,25 The prevalence of over nutrition observed in our study (15.5%) is also higher than the documented figures from other African countries, namely 11.8% in Benin,26 9.7% in Ghana, and 10.8% in Malawi.26 However, some other countries report higher prevalence rates, including Djibouti (24%),26 Egypt (40.7%),26 Mauritania (27.7%),26 Morocco (20.2%) and Kenya (19%).27
Over nutrition is an emerging problem in the developing world27,28 and the rapid increase in this phenomenon has been attributed to the increasing urbanization, rapidly changing eating practices, increasing sedentary lifestyle and reduction in physical activity which is now predominant in many developing countries.27 Children’s eating habits and behaviors are often acquired from their parents and the family environment and parents may engage in practices that either stimulate or depress their child’s eating habits and behaviors.27
In this study, majority of the children were consuming pastries, processed cereals, roots and tubers, while only a few were eating fruits and vegetables. Additionally, the mothers found it difficult to quantify the amount of food their children were actually eating. The dietary pattern observed may be related to the socioeconomic status of the children as most of the mothers were in the low income earning group and a significant proportion were unemployed and had less than secondary school education. Low socioeconomic status is known to influence dietary choices such that children from such families are given food that are cheaper, irrespective of their nutritive values.28 Regarding diet type, meal frequency is also known to contribute to the occurrence of obesity.28 This condition is less prevalent when three or fewer meals are consumed daily but a higher BMI has been associated with consumption of snacks and skipping of breakfast.28 Majority of the participants in our study ate only three times a day and only a few of them ate more than 3 times daily or ate in restaurants, while over a 10th skipped breakfast at least once in a week.
Other determinants of the BMI and obesity were the sedentary lifestyles and physical activities of the children and the duration of these activities. Time spent on sedentary behavior has been linked to child overweight and obesity.28, 29 Children who walk to or from school are classified into a higher physical activity category than those who use transport to travel to school.28, 29 In our study, the predominant sedentary activities identified in majority of the children were watching television and staying idle indoors. However, other positive lifestyles such as walking to school were prevalent among the majority of the participants (64.6%) and only a few (6%) were driven in the car to school. In contrast, a report from Kuwait30 documented that most of the children (76.5%) went to school by car or school bus and only 12.3% go to school by walking, this is a common finding in many developed countries.30 Children’s physical activity and sedentary behavior was significantly determined by the environment and familial influence.28, 29 In our study, the sedentary activities and physical activity in the children in the study were not significantly related to their nutritional status (BMI).
Maternal preventive practices against childhood obesity, has been poorly studied in the developing countries; thus, there remains a significant paucity of data on the subject. In our study, the mothers appeared to be strict with the children’s diet and were not rewarding good behavior with junk food or sweets. Mothers were sometimes concerned about overweight in the children. About half of the mothers had good practice against childhood obesity. This is in contrast to what was observed in Congo where only 25.6% of the parents studied engaged in good preventive practices against childhood obesity and 14.8% of these parents had obese children.31 The mothers in our study with good practice against obesity had at least secondary school education and tertiary education. This finding is also in line with previous observations, thus affirming that right attitudes and good practices may be related to the parental education and socioeconomic status.16,29,31 A good understanding of the impact of socioeconomic status on the development of obesity is necessary for the implementation of good preventive practices. Compliance with good preventive practice is poor even in the developed countries and more so in the developing countries where walking and sporting activities are of secondary importance to parents who are still concerned with getting enough and regular income to provide food and other essential amenities for the family.
However, in Congo Brazzaville, good knowledge of obesity was reported to not always translate to good practices.31 Nevertheless, the role of parents and mothers in particular in reducing and preventing the scourge of obesity in children cannot be overemphasized and effective preventive strategies should be family based. In our study, the only significant predictor of maternal preventive strategies against obesity was child’s sex. The reason for this finding, however, remains unclear and thus supports the need for larger studies to explore gender differences on this subject.
4.2 Limitations
One of the limitations of the study is that it is cross-sectional. It would have been desirable to study a larger cohort of subjects which was not possible because of logistic difficulties. Documentation of the quantity of the food consumed by the children was also difficult to ascertain due to the uncertainty of the mothers. Future studies should examine maternal report closer to the events. Larger longitudinal cohort studies are needed to evaluate obesity in school-aged children and other determinants of maternal preventive strategies to combat childhood obesity in the sub-Saharan continent. This will provide robust evidence on the subject and also enable appropriate intervention plan too.
5. Conclusion and Global Health Implications
The prevalence of over nutrition among school-aged children in Lagos, Nigeria, is unacceptably high. Majority of the children consume root/tubers, processed cereals and pastries whilst the consumption of dairy foods, fruits and vegetables was low. Children’s nutritional status was not significantly associated with their food consumption pattern, physical activities, or sedentary activities. About half of the mothers had good level of preventive strategies against childhood obesity which is unacceptably low. There is need to further explore determinants of maternal preventive strategies of childhood obesity in the sub-Saharan African population.
Key Messages.
The prevalence of overweight and obesity in school-aged children in Lagos is high and may be a reflection of the global epidemic of childhood obesity.
The determinants of childhood obesity and overweight were child’s age and sex; however the subject still requires further evaluation.
The level of maternal preventive strategies against childhood obesity in Lagos is unacceptably low and there is need to elucidate the reasons behind these as well as identify strategies to support families and build their self-efficacy.
Appendix
Acknowledgements
The authors appreciate the chairmen of the two LGAs for their support in granting permission for data collection.
Footnotes
Conflicts of Interest: The authors declare that they have no conflicts of interest regarding this work.
Financial Disclosure: None.
Funding/Support: None.
Ethics Approval: Ethical approval for this study was obtained from the Health Research and Ethics Committee of Lagos University Teaching Hospital. Informed written consent was obtained from the –parents of the children and confidentiality of all the information obtained from the study participants was maintained.
References
- 1.Moore ES, Wilkie WL, Desrochers DM. All in the Family?Parental Roles in the Epidemic of Childhood Obesity. J Consum Res. 2017;43(15):824–859. [Google Scholar]
- 2.Prentice AM. The emerging epidemic of obesity in developing countries. Int J Epidemiol. 2006;35(1):93–99. doi: 10.1093/ije/dyi272. [DOI] [PubMed] [Google Scholar]
- 3.Fruhstorfer BH, Mousoulis C, Uthman OA, Robertson W. Socio-economic status and overweight or obesity among school-age children in sub-Saharan Africa - a systematic review. Clin Obes. 2016;6(1):19–32. doi: 10.1111/cob.12130. [DOI] [PubMed] [Google Scholar]
- 4.Ismail MA, Kamel MH, Ibrahim DE. Assessment of knowledge, attitude and practice of adolescents towards obesity in the preparatory schools in Ismailia city-Egypt. Egypt J Community Med. 2011;29(2):17–30. [Google Scholar]
- 5.Hatch KE. Determining the effects of technology on children. Senior Honors Projects. 2011. [Accessed May 20, 2018]. Paper 260. http://digitalcommons.uri.edu/srhonorsprog/260 .
- 6.Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013:a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766–81. doi: 10.1016/S0140-6736(14)60460-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Amidu N, Owiredu W, Saaka M, et al. Determinants of childhood obesity among basic school children aged 6 –12 years in Tamale Metropolis. J Med Biomed Sci. 2013;2(3):26–34. [Google Scholar]
- 8.Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8–13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1–5. doi: 10.1155/2016/1345017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ben-Bassey UP, Oduwole OA, Ogundipe OO. Prevalence of overweight and obesity in Eti-Osa LGA, Lagos, Nigeria. Obes Rev. 2007;8(6):475–9. doi: 10.1111/j.1467-789X.2007.00408.x. [DOI] [PubMed] [Google Scholar]
- 10.Ogbo PU AB, Obettah NC. An Abstract on Increasing burden of obesity among Children 5-11 years old in Lagos, Nigeria. 2014. 12thInternational Congress on Obesity [Google Scholar]
- 11.Birch LL, Fisher JO, Grimm-Thomas K, Markey CN, Sawyer R, Johnson SL. Confirmatory factor analysis of the Child Feeding Questionnaire:a measure of parental attitudes, beliefs and practices about child feeding and obesity proneness. Appetite. 2001;36(3):201–210. doi: 10.1006/appe.2001.0398. [DOI] [PubMed] [Google Scholar]
- 12.Freitas FR, Moraes DEB, Warkentin S, Mais LA, Ivers JF. Taddei. Maternal restrictive feeding practices for child weight control and associated characteristics. J Pediatr (Rio J) 2018:S0021–7557(17)30500-4. doi: 10.1016/j.jped.2017.12.009. doi:10.1016/j.jped.2017.12.009. [DOI] [PubMed] [Google Scholar]
- 13.Sebanjo IO, Adejuyibge EA. Prevalence of Overweight and Obesity in Nigerian Preschool children. Nutr Health. 2007;18(4):391–9. doi: 10.1177/026010600701800408. [DOI] [PubMed] [Google Scholar]
- 14.Eke CB, Ubesie AC, Ibe BC. Challenges of childhood obesity in a developing economy:A review. Niger J Paediatr. 2015;42(3):169–179. [Google Scholar]
- 15.Goon DT, Toriola AL, Shaw BS, et al. Anthropometrically determined nutritional status of urban primary schoolchildren in Makurdi, Nigeria. BMC Public Health. 2011;11:769. doi: 10.1186/1471-2458-11-769. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Pakpour AH, Yekaninejad MS, Chen H. Mothers'perception of obesity in School children:a survey and the impact of an educational intervention. J Pediatr (Rio J) 2011;14(87(2)):169–74. doi: 10.2223/JPED.2078. [DOI] [PubMed] [Google Scholar]
- 17.Tagbo BN, Uwaezuoke N, Ihekuna D, et al. Perception and Attitude of Nigerian Mothers Toward Obesity. British J Med Med Res. 2015;5:1260–70. [Google Scholar]
- 18.Savage JS, Fisher JO, Birch LL. Parental Influence on Eating Behavior:Conception to Adolescence. J Law Med Ethics. 2007;35(1):22–34. doi: 10.1111/j.1748-720X.2007.00111.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Naing L, Winn T, Rush B. Practical issues in calculating the sample size for prevalence studies. Archives of Orofacial Sciences. 2006;1:9–14. [Google Scholar]
- 20.Fetuga MB, Ogunlesi TA, Adekanmbi AF, Alabi AD. Nutritional status of semi-urban Nigerian school children using the 2007 WHO reference population. West Afr J Med. 2011;30(5):331–336. [PubMed] [Google Scholar]
- 21.Canals-Sans J, Blanco-Gómez A, Luque V, et al. Validation of the Child Feeding Questionnaire in Spanish Parents of School children. J Nutr Educ Behav. 2016;48(6):383–391.e1. doi: 10.1016/j.jneb.2016.03.017. doi:10.1016/j.jneb.2016.03. [DOI] [PubMed] [Google Scholar]
- 22.World Health Organization. Growth reference 5-19 years:BMI-for-age (5-19 years) [Accessed May 20, 2018]. Available on http://www.who.int/growthref/who2007_bmi_for_age/en/
- 23.IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp; [Google Scholar]
- 24.Eze JN, Oguonu T, Ojinnaka NC, Ibe BC. Physical growth and nutritional status assessment of school children in Enugu, Nigeria. Niger J Clin Pract. 2017;20(1):64. doi: 10.4103/1119-3077.180067. [DOI] [PubMed] [Google Scholar]
- 25.Opara DC, Ikpeme EE, Ekanem U. Prevalence of Stunting, Underweight and Obesity in School Aged Children in Uyo, Nigeria. Pak J Nutr. 2010;9(5):459–466. [Google Scholar]
- 26.Manyanga T, El-Sayed H, Doku D, Randall J. The prevalence of underweight, overweight, obesity and associated risk factors among school-going adolescents in seven African countries. BMC Public Health. 2014;14:887. doi: 10.1186/1471-2458-14-887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kyallo F, Makokha A, Mwangi AM. Overweight and obesity among public and private primary school children in Nairobi, Kenya. Health (NY) 2013;5(08):85–90. [Google Scholar]
- 28.Gupta N, Goel K, Shah P, Misra A. Childhood obesity in developing countries:epidemiology, determinants, and prevention. Endocr Rev. 2012;33(1):48–70. doi: 10.1210/er.2010-0028. [DOI] [PubMed] [Google Scholar]
- 29.Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sedentary behavior and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8:98. doi: 10.1186/1479-5868-8-98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Alrashidi M. The prevalence, risk factors and perception of overweight and obesity in Kuwaiti:A mixed method approach. A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, RMIT University. 2016. [Accessed May 21, 2018]. https://researchbank.rmit.edu.au/eserv/rmit:161666/Alrashidi.pdf .
- 31.Mabiala BJR, Nika ER, Nkounkou MKGC, et al. Knowledge, Attitudes and Practices of Parents Facing Child and Adolescent Obesity in Brazzaville, Congo. Glob Pediatr Health [Internet] 2016;7:3. doi: 10.1177/2333794X16675546. [DOI] [PMC free article] [PubMed] [Google Scholar]
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