Nutrition Knowledge and Food Consumption in Households in the Uvira and Rizizi Health Zones, South Kivu, DR Congo
Abstract:
The aim of this article
was to describe the nutritional knowledge of women in charge of household food and
household food consumption. A two-stage cross-sectional cluster sample of women
(n=780) was carried out in the Uvira territory, examining knowledge of current dietary
recommendations, nutrient sources, healthy food choices and diet diseases relationship.
Weekly consumption frequency of seven food groups was assessed. The association
between food consumption score and independent variables were tested with a 95%
confidence interval. The overall nutrition knowledge score was low (45.1%); of its
components, the least known was the use of food information to make dietary choices
(49.1%); but women appeared to be familiar with current dietary recommendations
(60.8%), the relationship between diet and disease (59.9%) and nutrient sources
(56.3%). Significant differences were noticed between nutritional knowledge and
socio-demographic characteristics such as city living (AOR = 2.42, 95% CI: 1.74-3.37)
and female education (AOR = 1.62, 95% CI: 1.14-2.21). Fat and oil; roots and tubers
and flesh-based foods were the most frequently consumed food groups. The food consumption
score was, however, good, and was associated with nutrition knowledge (AOR = 2.1,
95% CI: 1.34-3.26); area of residence (AOR = 9.4, 95% CI: 5.80-15.30); knowledge
of daily food choices (AOR = 1.7, 95 CI: 1. In this study, households had poor nutritional
knowledge and adequate food consumption scores were associated with demographic
variables. Nutritional education programs are required to raise awareness.
References:
[1] WHO, 2018, Fact sheet, Malnutrition,
WHO, Geneva, https://www.who.int/news-room/fact-sheets/detail/malnutrition
[2] Müller O., Krawinkel M.,
2005, Malnutrition and health in developing countries, Can Med Assoc J.,
2005, 173(3), 279-86.
[3] Franca, T. G., Ishikawa,
L. L. W., Zorzella-Pezavento, S. F. G, Chiuso-Minicucci, F., da Cunha, M. L. R.
S., & Sartori, A., 2009, Impact of malnutrition on immunity and infection, Journal of Venomous Animals and Toxine including
Tropical Diseases, 15(3), 374-390.
[4] Krebs-Smith S. M., Smiciklas-Wright
H., Guthrie H. A., Krebs-Smith J., 1987, The effects of variety food choices on
dietary quality, J Am Diet Assoc, 87,
897-903.
[5] WHO, 2018, Atlas of African
Health Statistics 2018, WHO, Geneva.
[6] UNICEF, 2016, Percent
of children <5 years who are overweight by WHO regions.
[7] US Dpts of Agriculture
and health and Human Services, 1995, Nutrition and your Health: Dietary guidelines
for Americans? 4th edition. Home and Garden Bulletin N° 232, Washington
DC.
[8] WHO, 2003, Diet, nutrition
and the prevention of chronic diseases. Joint WHO/FAO Expert Consultation, WHO Technical
Report Series, N° 916. Geneva: WHO. http://www.who.int/dietphysicalactivity/publications/trs916/en/.
[9] Kearney, J. M., McElhone,
S., 1999, Perceived barriers in trying to eat healthier _ result of a pan-EU consumer
attitudinal survey, Br J Nutr, 81(Suppl 2), 133-7.
[10] Hendrie, G., Cox, D.,
Coveney, J., 2008, Nutrition knowledge as a predictor of nutrient intake and diet
quality, J Nutr Educ Bihav, 40(4), 50_1.
[11] MINISANTE-RDC, 2006, Recueil des norms de la zone
de santé. Ministère de la santé publique. Kinshasa.
[12] Division Provinciale de la Santé au Sud Kivu,
2020, Rapport annuel 2020. Document inedit.
[13] Save the Children, 2004,
Emergency Nutrition Assessment Guidelines for field workers. Save the Children.
London.
[14] INDDEX Project, 2018,
Data for Diets: Building Blocks for Diet-related Food Security Analysis. Tufts University.
Boston. MA. https://inddex.nutrition.tufts.edu/data4diets. Accessed on august 20, 2021.
[15] Interagency Workshop report
WFP-FAO, 2008, Measures of food consumption-Harmonizing methodologies, FAO, Rome.
[16] WFP, 2009, Comprehensive
Food Security & Vulnerability Analysis Guidelines January 2009 first edition.
WFP, Rome.
[17] VAM, 2008, Food consumption
analysis-Calculation and use of the food consumption score in food security analysis.
WPF-FAO, Rome.
[18] Swindale, A., Bilinsky,
P., 2006, Household Dietary Diversity Score (HDDS) for Measurement of Household
Food Access: Indicator Guide (v.2). Washington, D.C.: FHI 360/FANTA.
[19] PAM, 2014, Guide Technique, service de l’analyse
de la sécurité alimentaire : approche consolidée du PAM pour le compte rendu des
indicateurs de la sécurité alimentaire, PAM, Rome.
[20] Maxwell, D., Coates, J.,
Vaitla, B., 2013, How Do Different Indicators of Household Food Security Compare?
Empirical Evidence from Tigray. Feinstein International Center, Tufts University:
Medford, USA.
[21] Sharma, S. V., Gernand,
A. D., Day, R. S., 2008, Nutrition knowledge predicts eating behavior of all food
groups except fruits and vegetables among adults in the Paso del Norte region: Qué
Sabrosa Vida. J. Nutr. Educ. Behav., 40(6), 361-8.
[22] Bookari, K., Yeatman,
H., Williamson, M., 2016, Exploring Australian women’s level of nutrition knowledge
during pregnancy: A cross-sectional study, Int. J. Women’s Health, 8, 405–419.
[23] Hendrie, G. A., Cox, D.,
Coveney, J., 2008, Validation of the General Nutrition Knowledge Questionnaire in
an Australian Community Sample, Nutr. Diet. 65, 72–77.
[24] Emami, R., 2007, Life
style and nutrition in female student of ahvaz university, Med. J. Ahvaz.,
42, 32-41.
[25] Hendrie, G. A., Coveney,
J., Cox, D., 2008, Exploring nutrition knowledge and the demographic variation in
knowledge levels in an Australian community sample, Pub. Health. Nutr., 11(12),
1365-71.
[26] Dragana Milosavljevic, D., Milena, L., Mandic and Banjari, I., 2015, Nutritional Knowledge
and Dietary Habits Survey in High School Population, Coll. Antropol. 39 (1), 101–107.
[27] Rizvi, F., 2012, Impact de l'éducation
maternelle et du statut socio-économique sur les connaissances et pratiques nutritionnelles
maternelles concernant les aliments riches en fer et les suppléments de fer, Ann
Pak Inst Med Sci, 8 (2), 101-5.
[28] Grossman, M., Kaestner,
R., 1997, “Effects of Education on Health”, in J.R. Behrman and N. Stacey (eds.),
The Social Benefits of Education, University of Michigan Press, Ann Arbor.
[29] Scalvedi,
M. L., Gennaro, L., Saba, A., Rossi, L., 2021, Relationship Between Nutrition Knowledge
and Dietary Intake: An Assessment Among a Sample of Italian Adults, Front Nutr., Sep 13, 8, 714493,
doi: 10.3389/fnut.2021.714493. PMID: 34589511, PMCID: PMC8473625.
[30] Parmenter,
K., Waller, J., Wardle, J., 2000, Demographic variation in nutrition knowledge in
England, Health Educ
Res. Apr, 15(2), 163-74, doi: 10.1093/her/15.2.163,
PMID: 10751375, PMCID: PMC4344545.
[31] Dunneram,
Y., Jeewon, R., 2013, A Scientific Assessment of Sociodemographic Factors, Physical
Activity Level, and Nutritional Knowledge as Determinants of Dietary Quality among
Indo-Mauritian Women, J Nutr Metab., 2013, 572132, doi: 10.1155/2013/572132, Epub 2013 May 25, PMID:
23762543, PMCID: PMC3677610.
[32] WFP-Bangladesh Food Security
Cluster, 2009, Food Consumption Score (FCS) in Bangladesh Context Technical Guideline
January 2009
[33] Muthike, C. W., Imungi,
J., Mucheni, G., 2015, Nutritional knowledge and dietary diversity of cancer patients
at the cancer treatment center, Kenyata National Hospital, Kenya African Journal
of Food, agriculture, nutrition and development, 15 (5), 507-521.
[34] Bailey, D. A., McKay,
H. A., Mirwald, R. L., Crocker, P. R., Faulkner, R. A., 1999, A six year longitudinal
study of the Relationship of physical activity to bone mineral accrual in growing
children: The University of Saskatchewan Bone Mineral Accrual Study, Journal
of Bone and Mineral Research, 14, 1672–9.
[35] De Vriendt,
T., Matthys, C., Verbeke, W., Pynaert, I., De Henauw, S., 2009, Determinants of
nutrition knowledge in young and middle-aged Belgian women and the association with
their dietary behaviour, Appetite, Jun, 52(3), 788-792, doi: 10.1016/j.appet.2009.02.014, Epub
2009 Mar 5, PMID: 19501783.
[36] Bradette-Laplante, M.,
Carbonneau, É., Provencher, V., Bégin, C., Robitaille, J., Desroches, S., et al.,
2017, Development and validation of a nutrition knowledge questionnaire for a Canadian
population, Public Health Nutr. 20, 1184–92, doi: 10.1017/S1368980016003372.
[37] Yannakoulia, M., Panagiotakos, D., Pitsavos, C., Skoumas, Y., Stafanadis, C., 2008, Eating patterns may mediate the association between marital status, body mass index, and blood cholesterol levels in apparently healthy men and women from the ATTICA study, Social Science and Medicine, 66(11), 2230–223