Nutritional status and dietary intake of urban residents in Gondar, Northwest Ethiopia
© Kassu et al.; licensee BioMed Central Ltd. 2012
Received: 21 February 2012
Accepted: 4 September 2012
Published: 7 September 2012
There is paucity of data on the dietary intake and nutritional status of urban Ethiopians which necessitates comprehensive nutritional assessments. Therefore, the present study was aimed at evaluating the dietary intake and nutritional status of urban residents in Northwest Ethiopia.
This cross-sectional community based nutrition survey was conducted by involving 356 participants (71.3% female and 28.7% male with mean age of 37.3 years). Subjects were selected by random sampling. Socio demographic data was collected by questionnaire. Height, weight, hip circumference and waist circumference were measured following standard procedures. Dietary intake was assessed by a food frequency questionnaire and 24-h dietary recall. The recommended dietary allowance was taken as the cut-off point for the assessment of the adequacy of individual nutrient intake.
Undernourished, overweight and obese subjects composed 12.9%, 21.3% and 5.9% of the participants, respectively. Men were taller, heavier and had higher waist to hip ratio compared to women (P < 0.05). Fish, fruits and vegetables were consumed less frequently or never at all by a large proportion of the subjects. Oil and butter were eaten daily by most of the participants. Mean energy intakes fell below the estimated energy requirements in women (1929 vs 2031 kcal/day, P = 0.05) while it was significantly higher in men participants (3001 vs 2510 kcal/day, P = 0.007). Protein intake was inadequate (<0.8 g/kg/day) in 11.2% of the participants whereas only 2.8% reported carbohydrate intake below the recommended dietary allowances (130 g/day). Inadequate intakes of calcium, retinol, thiamin, riboflavin, niacin and ascorbic acid were seen in 90.4%, 100%, 73%, 92.4%, 86.2% and 95.5% of the participants.
The overall risk of nutritional inadequacy among the study participants was high along with their poor dietary intake. Hence, more stress should be made on planning and implementing nutritional programmes in urban settings aimed at preventing or correcting micronutrient and some macronutrient deficiencies which may be useful in preventing nutrition related diseases in life.
KeywordsUrban Ethiopia Dietary intake Nutritional status
Nutrition is an important factor in health and disease . The nutrition transition is marked by a shift away from relatively monotonous diets of varying nutritional quality toward an industrialized diet that is usually more varied, includes more preprocessed food, more food of animal origin, more added sugar and fat, and often more alcohol. This is accompanied by shift in the structure of occupations and leisure toward reduced physical activity .
The pattern of nutritional disorders in the developing world is further complicated by sociological changes which are taking place due to urbanization and changing lifestyles [3, 4]. In five out of the six regions of WHO deaths caused by chronic diseases dominate the mortality statistics [5, 6]. Although infectious diseases, still predominate in sub-Saharan Africa and will do so for the foreseeable future, 79% of all deaths worldwide that are attributable to chronic diseases are already occurring in developing countries [5, 6].
Epidemiological studies show that nutritional inadequacy can influence the incidence and the severity of infectious diseases [7–10]. In Ethiopia, nutritional problems and infectious diseases are amongst the major health problems . Chronic health disorders such as obesity, diabetes and cardiovascular diseases (CVDs) have been increasing in the country since the last few decades . According to the Ethiopian nationwide study on income, expenditure and consumption of 2005, fruits accounted for the lowest proportion (0.2%) of the per capita expenditure as compared to cereals (20.4%), pulses (3.9%), oils and fats (2%), khat (1.4%), or alcohol and tobacco (1.1%). A strong association between nutritional impairment and the development of chronic diseases such as cardiovascular diseases, cancer, and diabetes has been reported. Population-based data on cause of death from a few isolated studies, in predominantly rural populations, in Ethiopia demonstrate that a considerable proportion of the disease burden in these populations is due to CVD and other chronic diseases .
However, there is paucity of data on dietary intakes and nutritional status in Northwest Ethiopia. Therefore, this study was aimed to evaluate the dietary intake and anthropometric variables of urban residents in Northwest Ethiopia .
Study area and subjects
This cross-sectional study was conducted in Gondar city, Northwest Ethiopia in July 2005. Gondar is a zonal capital city located 750kms north of Addis Ababa in Amhara Region. The city has a longitude and latitude of 12°36′N 37°28′E. Based on figures from the Ethiopian Central Statistical Agency in 2005, Gondar has an estimated total population of 194,773 of whom 97,625 were males and 97,148 were females. Sample size was calculated based on expected estimates of 50% of BMI < 18.5, 95% confidence limits, and a 5% marginal error, the required sample was 384. Probability sampling in a form of simple random and two-stage probability sampling method was used for selecting the required size. The first stage of the sampling was started by selecting kebeles (smallest administrative unit) using simple random sampling. At the second stage, a random sample of households was selected based on a sampling frame from the 1994 census and adapted for recent population changes.
Out of 384 participants, data of 28(7%) of the study participants were incomplete and excluded of the statistical analysis. Nutritional status and dietary intake indicators was primary variables of interest. In addition, a structured questionnaire was used to collect information on socio-demographic variables including sex, age, religion, marital status, occupation, educational status and monthly family income. Monthly family income was estimated by combining incomes reported for husband, wife, son and/or daughter. The inclusion criteria for participation were age >18 year, not acutely ill at the time of survey and not diagnosed for chronic illnesses. Ethical approval for this study was obtained from the Research Ethics Committee of the University of Gondar. Informed consent was obtained from all subjects.
Anthropometric and body composition measurements
Body weight (kg) was measured using an electronic scale to the nearest 10 g, and standing height was measured using a wall stadiometer to the nearest 0.1 cm. Subjects were instructed to take off their shoes before performing these measurements. Body Mass Index (BMI) was calculated as body weight (kg)/height (m2). The classifications of BMI applied in this study were recommended by the World Health Organization (WHO)  BMI values of <18.5 kg/m2 and >25 kg/m2 represented thinness and overweight, respectively. An acceptable weight was considered to fall within these two extremes. Waist and hip circumferences were measured with a flexible steel metric tape at the nearest 0.5 cm. Central obesity was also calculated and defined on the basis of WHR. The cut-off value of central obesity was considered high risk WHR= >0.80 or waist measurement >80% of hip measurement for women for females and >0.95 for males that is >95% for men indicates central (upper body) obesity and is considered high risk for diabetes & CVS disorders. A WHR below these cut-off levels is considered low risk .
Interview using food frequency questionnaire
Data were collected by face-to-face interview using a structured Food Frequency Questionnaire (FFQ) modified from the Helen Keller International FFQ that was used previously in Ethiopia, to estimate meat and vegetable consumption that was in addition to the staple food intake . The FFQ included eight food categories (Meat, Egg, Fish, Fat rich food, Vegetables, Fruits, Diary products, Sweet food) and was designed to obtain qualitative information about the usual food consumption patterns with an aim to assess the frequency with which certain food items or groups are consumed during a specific time period . All frequency variables were coded as never or hardly ever, once a month, 2–3 times a month, once a week, 2–3 times a week, 4–6 times a week, and at least once a day.
24-h dietary recall
The respondents were asked to recall the exact food intake of the previous day. Detailed descriptions of all foods including recipes and beverages consumed were recorded. Quantities of food consumed were estimated in household measures. One single 24-h recall was collected for every participant. Only one adult individual was selected from a house hold. For the transformation of household measurements and centimetres into grams, the portion sizes were weighed with a digital household dietary scale (Omron Electronic kitchen scale, Omron, Tokyo, Japan). Information from the 24-h protocols was entered and analyzed with Microsoft EXCEL software. The various food items mentioned in the recall were transformed into their corresponding weight of raw food ingredients. Ethiopian food composition tables  or food composition table for use in Africa , for those not available in the former, was used to calculate energy and nutrients content. Major nutrients in the food composition tables were measured. The data were subsequently converted into the amount of energy and nutrient intake per individual per day. Relative validity of 24-h recall was determined by comparison data obtained from the same participants using a food-frequency questionnaire. Furthermore, three 24-h recalls were repeated in 10% of the sample. The dietary results are under preparation.
Adequacy of the macronutrients and micronutrients intake was evaluated according to the Dietary Reference Intakes (DRI) of The Institute of Medicine of The National Academies . The reported energy intakes were compared with estimated minimal energy requirements to assess adequacy. Basal Metabolic Rate (BMR) was estimated using the sex and age specific equations of FAO/WHO/UNU expert consultations. The BMR was then multiplied by a factor which stands for physical activity level for each individual .
As a measure of overall nutrient adequacy, mean adequacy ratio (MAR) was calculated as the mean of the nutrient adequacy ratios (NARs) for the intake of energy and nine nutrients (protein, calcium, iron, phosphorus, retinol, thiamin, riboflavin, niacin, ascorbic acid), each truncated at 1 so that a nutrient with a high NAR could not compensate for a nutrient with a low NAR .
The mean ± SD daily nutrient intake was computed and tabulated. The mean intakes of energy, macronutrients and micronutrients were compared between men and women by independent sample t-test. Chi square test of proportion was used to determine the percentage of participants with intakes at or below the recommended daily allowance and adequate intakes. Correlation test was tested to examine the relationship between socioeconomic factors on dietary intake and selected nutritional variables. All statistical analyses were undertaken using SPSS version 13. P values less than 0.05 were considered statistically significant.
Socio-demographic and anthropometric profile
Socio-demographic profile of subjects included in nutrition survey, Gondar, Ethiopia, 2005
(n = 356)
(n = 101)
(n = 255)
Age in year
Divorced, widowed, separated
Monthly income in Birr
Mean ± SD
663.9 ± 522.8
807.1 ± 568.6
607.2 ± 493.4
20.0 – 2872.0
Anthropometric status of study participants subjects included in nutrition survey, Gondar, Ethiopia, 2005
(n = 356)
(n = 101)
(n = 255)
Weight in kilogram
Mean ± SD
58.9 ± 11.2
65.6 ± 10.5
56.3 ± 10.5
58.1 (35.0 – 94.7)
Height in meter
Mean ± SD
1.61 ± 0.08
1.69 ± 0.07
1.57 ± 0.06
Mean ± SD
22.8 ± 3.9
22.9 ± 3.5
22.8 ± 4.1
22.5 (15.2 – 38.4)
Mean ± SD
97.0 ± 11.6
96.4 ± 10.0
97.3 ± 12.3
97.0 (61 – 132)
Mean ± SD
85.7 ± 13.6
88.4 ± 14.7
84.6 ± 13.0
85.0 (52 – 152)
Mean ± SD
0.89 ± 0.11
0.92 ± 0.13
0.87 ± 0.11
Food consumption and frequency
Comparison of mean food intake (g/day) of women and men in Gondar, Ethiopia, 2005
(n = 255)
(n = 101)
men and women
a 3.39 ± 1.50
2.72 ± 1.65
2.47 ± 1.78
2.18 ± 1.64
0.33 ± 0.75
0.13 ± 0.49
Oil and butter
5.52 ± 1.36
5.64 ± 1.21
2.82 ± 1.56
2.76 ± 1.58
2.22 ± 1.85
1.76 ± 1.64
1.84 ± 2.21
1.16 ± 1.83
Milk and yogurt
3.60 ± 2.18
2.42 ± 2.11
Daily food consumption per capita (gram/day) in Gondar, Ethiopia in 2005 compared to 1982 reports
Vegetable oil & butter
Root and tubers
Distribution of energy, macronutrient and fiber intakes of men and women in Gondar city, Ethiopia 2005
Intake per day
Difference between men and women
a2233.89 ± 1261.56
3001.29 ± 1780.52
1929.95 ± 805.81
% energy from protein
79.23 ± 36.68
104.03 ± 48.68
69.41 ± 24.63
320.29 ± 246.78
460.42 ± 366.16
264.78 ± 146.41
% energy from carbohydrate
79.57 ± 31.94
92.06 ± 33.60
74.63 ± 29.91
% energy from fat
Dietary fiber (g)
19.27 ± 7.07
21.44 ± 7.43
18.41 ± 6.75
Distribution of mean micronutrient intake of men and women in Gondar, Ethiopia 2005
Difference between men and women
(n = 356)
(n = 101)
(n = 255)
a663.53 ± 271.04
808.62 ± 323.71
606.07 ± 223.00
1708.60 ± 1035.61
2340.67 ± 1487.01
1458.25 ± 637.66
109.29 ± 68.94
138.27 ± 89.99
97.81 ± 54.65
22.75 ± 78.79
32.19 ± 102.97
19.01 ± 66.72
226.20 ± 225.81
290.01 ± 277.53
200.93 ± 196.68
1.22 ± 1.06
1.81 ± 1.60
0.98 ± 0.61
0.73 ± 0.30
0.84 ± .35
0.68 ± 0.26
15.03 ± 20.31
26.28 ± 31.34
10.57 ± 10.94
Ascorbic acid (mg)
24.10 ± 26.99
28.45 ± 28.00
22.38 ± 26.44
Description of mean adequacy ratio (MAR) and nutrient adequacy ratios (NAR) calculated from FFQ (Ethiopia, 2005)
mean ± SD
% below recommended
nutrient intake compared to RDA
0.81 ± 0.53
1.53 ± 0.82
0.66 ± 0.27
10.94 ± 6.68
2.44 ± 1.48
0.03 ± 0.10
1.15 ± 0.96
0.59 ± 0.27
1.01 ± 1.43
NAR Ascorbic acid
0.38 ± 0.32
0.74 ± 0.10
Correlation coefficients for changes in frequency of food consumption and socio-economic variables among men and women in Gondar city, Ethiopia 2005
Level of education
Level of education
Oil and butter
Milk and yogurt
This cross-sectional study provides data on the nutritional status and dietary intake of urban residents in Gondar city, Northwest Ethiopia. The results of this study indicate that the diets of urban residents included in this study are undesirable according to the Dietary Reference Intakes (DRIs) used. Overall, participant diets included too much energy-dense food and saturated fat and inadequate intakes of micronutrients. The men seem to have more than adequate intake compared to women. Irrespective of sex, micronutrient intake is very low in the area. BMI data point out the prevalence of a high percentage of overweight and obese subjects in both sexes.
The results also showed that males had a greater mean in BMI and Waist-to-Hip Ratio (WHR) than females, related to physiological differences between male and females [22, 23]. Higher BMI and WHR may be considered as indicators of high risk factors for cardiovascular disease since they have strong relation to lipid profile in both sex groups [22, 24–26]. A considerable proportion of urban residents (21.3%) in Gondar had overweight and obesity in contrast to previous reports of low prevalence of overweight in Ethiopia . Increased dietary energy and fat intake, coupled with insufficient physical activity, is implicated in the rapidly growing prevalence of overweight and obesity in sub Saharan Africa, where there is a longstanding tradition favoring obesity over thinness. Overweight in general, and abdominal obesity in men, is regarded as a sign of health and wealth in many communities in Africa, including Ethiopia. Thinness, in contrast, is considered as a sign of illness or poverty [25, 26].
Although, there is limited data on the BMI distribution or prevalence of overweight and obesity in sub Saharan African countries, in other African countries, the prevalence of obesity was consistently higher in urban areas [24, 25].
Although, eating more vegetables and fruits as the part of Dietary Approaches to Stop Hypertension (DASH) diet are associated with reduced risk for cardiovascular diseases  In Gondar and most cities in the country, people are reluctant to consume vegetables especially in commercial food catering places and in social occasions where food is served to large number of guests. There is widespread fear of infection, particularly with amoeba, from consuming uncooked vegetables. It is common to see that a large part of the vegetables cultivated in cities are contaminated with water that is contaminated with sewerage and use of infected manure as a fertilizer.
Fruits are not also part of the regular daily diet in Ethiopia. Unlike other populations where fruits follow meals for dessert, instead tea and coffee are the predominant accessories to meals in this population. Fruits are more commonly consumed during weekends, social occasions or holidays. They are the preferred gift while visiting sick people (patients) at home or in health facilities. The price of common fruits, such as oranges and bananas, has remained generally low for many years in Ethiopia until a recent surge, which was partly attributed to increasing exports. In addition, according to results of this study, consumption of fish is very small due to cultural aversion to eating fish although one of the biggest lakes (Lake Tana) is only 60 km from Gondar.
Intake of fat by the study participants was higher than the suggested acceptable macronutrient distribution range which is a negative impact of nutrition transition [29–31]. The dietary changes of the nutrition transition involve large increases in the consumption of fat (especially saturated fat) and sugar, marked increases in animal products, and a decline in unrefined cereal and, thus, in fiber intakes [32, 33]. It is recommended that fiber intake could be improved by taking whole grain than refined grain intake; thus, nutrition education programs are needed to improve the dietary intake and for healthy eating pattern . As in many sub-Saharan Africa countries, in Ethiopia, an increased level of body fat is associated with beauty, prosperity, health, and prestige, despite its negative impact on health. Thinness, in contrast, is perceived to be a sign of ill health or poverty and is something to be feared and avoided, particularly in recent years, when it has been associated with AIDS [26, 35].
Micronutrients are required for virtually all metabolic and developmental processes. The large percentage of study subjects with inadequate intakes of calcium, retinol, thiamin, riboflavin, niacin and ascorbic acid indicates that micronutrient deficiencies are still major public health problems in developing countries [36–38]. These dietary pattern changes in which the macronutrient pattern could already be associated with an increased risk of overweight, obesity and other non communicable diseases [39, 40] while the improvements in micronutrient intakes in urban subjects, did not reach recommended values for some micronutrients [34, 41]. It is conceivable that in many overweight and obese subjects, sub-optimal micronutrient intakes could lead to a “double burden” of co-existence of under- and over-nutrition in the same person. It is further conceivable that some of the observed micronutrient deficiencies, such as those with anti-oxidant properties, could contribute to the increased risk of non communicable diseases in these subjects.
Our data agree with previous studies in different countries suggesting lower intakes of essential nutrients, vitamins, and minerals, especially calcium, thiamin and niacin in developing countries during nutrition transition [42–44]. It is understandable that with economic development, people will choose to follow a more palatable diet than traditional diets high in fiber and low in fat. But it is more difficult to understand why adult Africans, often from poor, food-insecure households, are so vulnerable to obesity when they experience the nutrition transition. It has been suggested that based on the Barker hypothesis  of fetal programming for vulnerability to non communicable diseases in later life when the expectant mother is nutritionally compromised, stunted children and adults born from these mothers in African households are more vulnerable to obesity when they are suddenly following a modern, “Western” diet .
This study has also shown that the major determinants for frequency of food consumption among adults are socioeconomic. The more income the family generates, the better their frequency of food consumption and hence BMI. Although not statistically significant, level of education is negatively correlated with frequency of consumption for oil and butter. Health education campaigns warning against butter as source of saturated fatty acids and recommending unsaturated fats might have influenced the behaviors of the highly educated in the study area. Nutrition education of the masses needs to be intensified to encourage a healthy lifestyle. Food fortification programmes to include micronutrients are also advocated.
The limitations of this study include single 24 h dietary recall, thereby providing a less precise measure of intake. The study did not include the rural communities due to financial constraint. Yet, the representativeness of the urban population samples to the corresponding strata in the whole country is limited due to possibly marked diversity in socioeconomic and cultural background of different populations in the country. Additionally, the cross-sectional nature of our study ruled out a determination of the role of poor diet in the development of high-risk anthropometric measures or the role of lack of knowledge of nutrition in making poor dietary habit.
The nutrition transition in sub-Saharan African countries is complex, because overweight, obesity and other non-communicable diseases emerged before the problems of under-nutrition and micronutrient deficiencies have been solved. According to the results of this study, it is concluded that the dietary intake and nutritional inadequacy of Northwest Ethiopia urban residents was poor, especially they do not meet the standards of adequacy for micronutrients and that it reflects the dietary intake and eating patterns observed in other urban parts of the country. However, these data must be interpreted with caution because the RDA is set at a level higher than most individuals’ requirements, individuals consuming less than the RDA may still have adequate consumption levels. It is recommended that further concerted research be undertaken in different geographic regions of the country, for a better understanding of the nutrition transition in Ethiopia and in order to design interventions that are useful in promoting healthy lifestyles and thus preventing nutrition-related diseases later in life. In addition, we also recommend constructing a database of dietary intake representative of Ethiopian population with the eventual goal of establishing population reference intakes specifically targeted to Ethiopians.
The study was financially supported by grants from University of Gondar and the Sasakawa Scientific Research Grant from the Japan Science Society (No. 17-241). We would like to thank the study participants and laboratory staff of the University of Gondar Hospital without whom this study could not have been completed.
- Blaney S, Beaudry M, Latham M: Determinants of under nutrition in rural communities of a protected area in Gabon. Public Health Nutr. 2009, 12 (10): 1711-1725. 10.1017/S1368980008004035.View ArticlePubMedGoogle Scholar
- The Bellagio meeting: An overview on the nutrition transition and its health implications. Public Health Nutr. 2002, 5 (1A): 93-103.Google Scholar
- WHO: Obesity: preventing and managing the global epidemic: report of a WHO consultation on obesity, Technical Report Series 894. 2000, Geneva: WHOGoogle Scholar
- Parry EH: Urban change and health in Africa. Ethiop Med J. 1978, 17: 127-142.Google Scholar
- King H, Aubert RE, Herman WH: Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998, 21: 1414-1431. 10.2337/diacare.21.9.1414.View ArticlePubMedGoogle Scholar
- Amos AF, McCarty DJ, Zimmet P: The rising global burden of diabetes and its complications: estimates and projections to the year 2010. Diabet Med. 1997, 14 (Suppl. 5): S1-S85.PubMedGoogle Scholar
- WHO: Monogram Series 57 on Interaction of Nutrition and Infection. Edited by: Schrimshaw NS, Taylor CE, Gordon JE. 1968, GenevaGoogle Scholar
- WHO: Africa Regional Health Office: The Health of the People. 2007, the Africa regional health reportGoogle Scholar
- Fantahun M, Degu G: Burden of disease in Amahra region, Ethiopia. Ethiop Med J. 2004, 42 (3): 165-172.PubMedGoogle Scholar
- Central Statistical Agency: Federal Democratic Republic of Ethiopia: Household Income, Consumption, and Expenditure Survey 2004/5. 2007, Addis: Statistical Bulletin 394 Volume IGoogle Scholar
- Abdulahi H, Mariam DH, Kebede D: Burden of disease analysis in rural Ethiopia. Ethiop Med J. 2001, 39: 271-281.PubMedGoogle Scholar
- Sheiham A: Dietary effects on dental diseases. Public Health Nutr. 2001, 4: 569-591.PubMedGoogle Scholar
- Report of a WHO Expert Committee on Physical status: the use and interpretation of anthropometry. 1995, GenevaGoogle Scholar
- Haidar J, Abate G, Kogi-Makau W, Sorensen P: Risk factors for child under-nutrition with a human rights edge in rural villages of North Wollo, Ethiopia. Public Health Nutr. 2008, 11: 675-683.Google Scholar
- Central Statistical Authority of Ethiopia on Rural Household Income, consumption and Expenditure survey (May 1981-April 1982): Statistical Bulletin 61. 1988, AddisGoogle Scholar
- Ethiopian Health and Nutrition Research Institute: Food Composition Table for Use in Ethiopia: Report Part IV. 1998, , AddisGoogle Scholar
- Food and Agriculture Organization: Food Composition Table for Use in Africa. http://www.fao.org/infoods/tables_africa_en.stm [Website] 1968 Accessed on June 29, 2011
- The National Academies Press: Committee on Use of Dietary Reference Intakes in Nutrition Labeling. Dietary Reference Intakes: guiding principles for nutrition labeling and fortification. http://www.books.nap.edu/catalog/10872.html?onpi_newsdoc121103 [Website] 2003 Accessed May 4, 2011
- Joint FAO/WHO/UNU expert consultation on Energy and protein requirements. 1985, Geneva: WHO Technical Report Series No. 724Google Scholar
- Hatloy A, Torheim LE, Oshaug A: Food variety-a good indicator of nutritional adequacy of the diet? A case study from an urban area in Mali, West Africa. Eur J Clin Nutr. 1998, 52: 891-898. 10.1038/sj.ejcn.1600662.View ArticlePubMedGoogle Scholar
- Torheim LE, Barikmo I, Parr CL, Hatloy A, Ouattara F, Oshaug A: Validation of food variety as an indicator of diet quality assessed with a food frequency questionnaire for Western Mali. Eur J Clin Nutr. 2003, 57: 1283-1291. 10.1038/sj.ejcn.1601686.View ArticlePubMedGoogle Scholar
- Michelotto MA, de Oliveira R, Fagundes LM, Moreira EAM: Erasmo Benício Santos de Moraes Trindade, Tales de Carvalho: Relation between anthropometric indicators and risk factors for cardiovascular disease. Arq Bras Cardiol. 2010, 94 (4): 451-457.Google Scholar
- Ruiz J, Mandel C, Garabedian M: Influence of spontaneous calcium intake and physical exercise on the vertebral and femoral bone mineral density of children and adolescents. J of Bone and Mineral Res. 1995, 10: 675-682.View ArticleGoogle Scholar
- Kamadjeu RM, Edwards R, Atanga JS, Kiawi EC, Unwin N, Mbanya J-C: Anthropometry measures and prevalence of obesity in the urban adult population of Cameroon: an update from the Cameroon Burden of diabetes baseline survey. BMC Publ Health. 2006, 6: 228-10.1186/1471-2458-6-228.View ArticleGoogle Scholar
- Steyn K, Damasceno A: Lifestyle and Related Risk Factors for Chronic Diseases. 2006, The World Bank: In Disease and Mortality in Sub-Saharan AfricaGoogle Scholar
- Treloar C, Porteous J, Hassan F, Kasniyah N, Lakshmanudu M, Sama M, Sha’bani M, Heller F: The cross cultural context of obesity: An inclen multicentre collaborative study. Health and Place. 1999, 5: 279-286. 10.1016/S1353-8292(99)00018-0.View ArticlePubMedGoogle Scholar
- Tesfaye F, Nawi NG, Van Minh H, Byass P, Berhane Y, Bonita R, Wall S: Association between body mass index and blood pressure across three populations in Africa and Asia. J Hum Hypertens. 2007, 21: 28-37. 10.1038/sj.jhh.1002104.View ArticlePubMedGoogle Scholar
- Azadbakht L, Surkan PJ, Esmaillzadeh A, Willett WC: The dietary approaches to stop hypertension eating plan affects c-reactive protein, coagulation abnormalities, and hepatic function tests among type 2 diabetic patients. Nutr. 2011, 141 (6): 1083-1088. 10.3945/jn.110.136739.View ArticleGoogle Scholar
- Klimis-Zacas DJ, Kalea AZ, Yannakoulia M, Matalas A-L, Vassilakou T, Papoutsakis-Tsarouhas C, Yiannakouris N: Dietary intakes of Greek urban adolescents do not meet the recommendations. Nutr Res. 2007, 27: 18-26. 10.1016/j.nutres.2006.12.004.View ArticleGoogle Scholar
- Institute of Medicine Food and Nutrition Board: Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids. 2002, Washington D.C: National Academy PressGoogle Scholar
- Venter I, Winterbach A: Dietary fat knowledge and intake of mid-adolescents attending public schools in the Bellville/Durbanville area of the city of Cape Town. S Afr J Clin Nutr. 2010, 23 (2): 75-83.Google Scholar
- Popkin BM: Nutrition in transition: The changing global nutrition challenge. Asia Paci J of C Nutn. 2001, 10: S13-S18.View ArticleGoogle Scholar
- Popkin BM: The nutrition transition and obesity in the developing world. Journal of Nutn. 2001, 1313871S-73S.73S.Google Scholar
- Azadbakht L, Esmaillzadeh A: Macro and micro-nutrients intake, food group’s consumption and dietary habits among female students in Isfahan University of medical sciences. Iranian R Cres Med J. 2012, 14 (4): 204-209.Google Scholar
- Krisela S, Albertino D, et al: From Lifestyle and Related Risk Factors for Chronic Diseases. Disease and Mortality in Sub-Saharan Africa. Edited by: Jamison DT, Feachem RG, Makgoba MW. 2006, Washington (DC): World Bank, 2Google Scholar
- Levin HM, Pollitt E, Galloway R, McGuire J: Micronutrient deficiency disorders. Disease control priorities in developing countries. Edited by: Jamison DT, Mosley WH, Measham AR, Bobadilla JL. 1993, Oxford: Oxford University Press, 4 21-451. 2Google Scholar
- Diaz JR, de las Cagigas A, Rodriguez R: Micronutrient deficiencies in developing and affluent countries [review]. Eur J Clin Nutr. 2003, 57: 70-72.View ArticleGoogle Scholar
- Prokopiev DI: Vitamin A content and carotene in blood plasma in pulmonary tuberculosis. Ter Arh. 1966, 38: 54-59.Google Scholar
- Vorster HH, Wissing MP, Venter CS, Kruger HS, Kruger A, et al: The impact of urbanization on physical, physiological and mental health of Africans in the North West Province of South Africa. The THUSA study S Afr J Sci. 2000, 96: 505-514.Google Scholar
- Kruger HS, Venter CS, Vorster HH: Obesity in African women in the North West Province, South Africa, is associated with an increased risk of non-communicable diseases: The THUSA study. Br J Nutr. 2001, 86: 733–-740.View ArticlePubMedGoogle Scholar
- Academy of Science of South Africa (ASSA): Scientific Inquiry into the Nutritional Influences on Human Immunity with Special Reference to HIV Infection and Active TB in South Africa: HIV/AIDS, TB and Nutrition. 2007, PretoriaGoogle Scholar
- Yannakoulia M, Karayiannis D, Terzidou M, Kokkevi A, Sidossis LS: Nutrition-related habits of Greek adolescents. Eur J Clin Nutr. 2004, 58: 580-586. 10.1038/sj.ejcn.1601849.View ArticlePubMedGoogle Scholar
- Rolland-Cachera M-F, Belliste F, Deheeger M: Nutritional status and food intake in adolescents living in Western Europe. Eur J Clin Nutr. 2000, 54: 41-46. 10.1038/sj.ejcn.1600891.View ArticleGoogle Scholar
- Cruz JA: Dietary habits and nutritional status in adolescents over Europe: Southern Europe. Eur J Clin Nutr. 2000, 54: 29-35. 10.1038/sj.ejcn.1600888.View ArticleGoogle Scholar
- Barker DJP: Fetal origins of coronary heart disease. Br Med J. 1995, 311: 171-174. 10.1136/bmj.311.6998.171.View ArticleGoogle Scholar
- Vorster HH, Bourne LT, Venter CS, Oosthuizen W: Contribution of nutrition to the health transition in developing countries: A framework for research and intervention. Nutr Rev. 1999, 57: 341-349.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/752/prepub
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