Seasonality and Day-to-Day Variability of Dietary Diversity: Longitudinal Study of Pregnant Women Enrolled in a Randomized Controlled Efficacy Trial in Rural Burkina Faso

Giles T Hanley-Cook, Alemayehu Argaw, Brenda de Kok, Laeticia Celine Toe, Trenton Dailey-Chwalibóg, Moctar Ouédraogo, Patrick Kolsteren, Lieven Huybregts, Carl Lachat, Giles T Hanley-Cook, Alemayehu Argaw, Brenda de Kok, Laeticia Celine Toe, Trenton Dailey-Chwalibóg, Moctar Ouédraogo, Patrick Kolsteren, Lieven Huybregts, Carl Lachat

Abstract

Background: Panel data indicate that nonpregnant women's dietary diversity fluctuates across climatic seasons in low- and middle-income countries. The natural day-to-day variability in food group consumption during gestation is unknown.

Objectives: A longitudinal study was conducted among pregnant women enrolled in the Micronutriments pour la Santé de la Mère et de l'Enfant study 3 randomized controlled efficacy trial [i.e., daily fortified balanced energy-protein supplement and an iron-folic acid (IFA) tablet compared with an IFA tablet only] to investigate the number of 24-hour recalls required to estimate usual prenatal food group (FG) diversity and the seasonality of pregnant women's dietary diversity in Houndé, Burkina Faso.

Methods: FG consumption was assessed twice weekly by qualitative, list-based, 24-hour recalls among 1757 pregnant women (892 control, 865 intervention). The number of days needed to estimate a woman's usual prenatal 10-point FG diversity score was calculated using the within-subject coefficient of variation. Regression models, including truncated Fourier series, were fitted to assess seasonal variations in the FG diversity score and the probability of reaching Minimum Dietary Diversity for Women (MDD-W; i.e., ≥5 FGs).

Results: The monthly mean FG scores (<5 FGs) and MDD-W prevalence (<45%) were low. Five list-based recalls allowed observed FG diversity to lie within 15% of the true mean in 90% of the estimations (mean ± SD, 40.4 ± 20.7 recalls per woman). Both the FG diversity score and prevalence achieving MDD-W showed responsiveness to seasonal variations, with peaks at the end of the dry season (i.e., April or May) and troughs in the rainy season (i.e., August).

Conclusions: Five list-based recalls are sufficient to estimate usual FG diversity during gestation, although intra-annual seasonal patterns did modestly affect the FG diversity score and MDD-W prevalence. Thus, timing of repeated dietary surveys is critical to ensure nonbiased inferences of change and trends in Burkina Faso. This trial was registered at clinicaltrials.gov as NCT03533712.

Keywords: Burkina Faso; balanced energy-protein supplements; dietary diversity; food groups; list-based recall; pregnant women; seasonality.

© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition.

Figures

FIGURE 1
FIGURE 1
Food group diversity score among pregnant women (n = 1757), by study month and trial arm. Y-axis ranges between a minimum of 3.5 and a maximum of 4.5 food groups. October 2019 (n = 8 women), July 2021 (n = 14), and August 2021 (n = 1) were not plotted due to the limited number of data points. All 2-sided Welch's independent-sample t-tests were nonsignificant by intervention arm (P > 0.05). Abbreviation: COVID-19, coronavirus disease 2019.
FIGURE 2
FIGURE 2
Proportion of pregnant women (n = 1757) achieving MDD-W, by study month and trial arm. The y-axis values range between a minimum of 20% and maximum of 45%. October 2019 (n = 8 women), July 2021 (n = 14), and August 2021 (n = 1) were not plotted due to the limited number of data points. All 2-sided Welch's independent-sample t-tests were nonsignificant by intervention arm (P > 0.05). Abbreviation: MDD-W, Minimum Dietary Diversity for Women.
FIGURE 3
FIGURE 3
Monthly means and seasonal variation in a 10-point food group diversity score (n = 1757 women; n = 10,955 data points) in the MISAME-III trial. The y-axis ranges between a minimum of 3.7 and maximum of 4.3 food groups. The solid lines represent the local polynomial smoothing prediction of the monthly mean with 95% CI, whereas the dashed line represents the modeled seasonal variation, with Fourier series. The food group diversity score was fitted to the first-, second-, and third-order Fourier pairs. Abbreviation: MISAME-III, Micronutriments pour la Santé de la Mère et de l'Enfant study 3.
FIGURE 4
FIGURE 4
Monthly proportion of pregnant women achieving MDD-W (n = 1757 women; n = 10,955 data points) in the MISAME-III trial. The y-axis ranges between a minimum of 29% and maximum of 42%. The solid lines represent the local polynomial smoothing prediction of the monthly mean proportion with 95% CI, whereas the dashed line represents the modeled seasonal variation, with Fourier series. The MDD-W was fitted to the first-, second-, and third-order Fourier pairs. Abbreviations: MDD-W, Minimum Dietary Diversity for Women; MISAME-III, Micronutriments pour la Santé de la Mère et de l'Enfant study 3.

References

    1. Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, De Onis Met al. . Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382(9890):427–51.
    1. Arimond M, Wiesmann D, Becquey E, Carriquiry A, Daniels MC, Deitchler Met al. . Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings. J Nutr. 2010;140(11):2059S–69S.
    1. Lee SE, Talegawkar SA, Merialdi M, Caulfield LE. Dietary intakes of women during pregnancy in low- and middle-income countries. Public Health Nutr. 2013;16(8):1340–53.
    1. Lander RL, Hambidge KM, Westcott JE, Tejeda G, Diba TS, Mastiholi SC, Tshefu Aet al. . Pregnant women in four low-middle income countries have a high prevalence of inadequate dietary intakes that are improved by dietary diversity. Nutrients. 2019;11(7):1560.
    1. Gernand AD, Schulze KJ, Stewart CP, West KP, Christian P. Micronutrient deficiencies in pregnancy worldwide: health effects and prevention. Nat Rev Endocrinol. 2016;12(5):274–89.
    1. WHO . WHO recommendations on antenatal care for a positive pregnancy experience. [Internet]. Geneva (Switzerland): WHO; 2016. [Accessed 2021 Dec 12]. Available from: .
    1. Ota E, Hori H, Mori R, Tobe-Gai R, Farrar D. Antenatal dietary education and supplementation to increase energy and protein intake. Cochrane Database Syst Rev. 2015;(6):1465–858.
    1. Thorne-Lyman AL, Bevis LEM, Kuo H, Manohar S, Shrestha B, KC Aet al. . Season of data collection of child dietary diversity indicators may affect conclusions about longer-term trends in Peru, Senegal, and Nepal. Curr Dev Nutr. 2021;5(8):nzab095.
    1. Verger EO, Ballard TJ, Dop MC, Martin-Prevél Y. Systematic review of use and interpretation of dietary diversity indicators in nutrition-sensitive agriculture literature. Glob Food Sec. 2019;20:156–69.
    1. Women's Dietary Diversity Project (WDDP) Study Group . Development of a dichotomous indicator for population-level assessment of dietary diversity in women of reproductive age. Curr Dev Nutr. 2017;1(12):cdn.117.001701.
    1. Zerfu TA, Umeta M, Baye K. Dietary diversity during pregnancy is associated with reduced risk of maternal anemia, preterm delivery, and low birth weight in a prospective cohort study in rural Ethiopia. Am J Clin Nutr. 2016;103(6):1482–8.
    1. Madzorera I, Isanaka S, Wang M, Msamanga GI, Urassa W, Hertzmark Eet al. . Maternal dietary diversity and dietary quality scores in relation to adverse birth outcomes in Tanzanian women. Am J Clin Nutr. 2020;112(3):695–706.
    1. Madzorera I, Ghosh S, Wang M, Fawzi W, Isanaka S, Hertzmark Eet al. . Prenatal dietary diversity may influence underweight in infants in a Ugandan birth-cohort. Matern Child Nutr. 2021;17(3):e13127.
    1. Yang J, Wang M, Tobias DK, Rich-Edwards JW, Darling A, Abioye AIet al. . Dietary diversity and diet quality with gestational weight gain and adverse birth outcomes, results from a prospective pregnancy cohort study in urban Tanzania. Matern Child Nutr. 2021;18(2):e13300.
    1. Nsereko E, Uwase A, Mukabutera A, Muvunyi CM, Rulisa S, Ntirushwa D, Nzayirambaho Met al. . Maternal genitourinary infections and poor nutritional status increase risk of preterm birth in Gasabo District, Rwanda: a prospective, longitudinal, cohort study. BMC Pregnancy Childbirth. 2020;20(1):345.
    1. Willett W. Nutritional epidemiology. 3rd ed.Monographs in epidemiology and biostatistics. New York (NY): Oxford University Press; 2013.
    1. Thorne-Lyman A, Spiegelman D, Fawzi WW. Is the strength of association between indicators of dietary quality and the nutritional status of children being underestimated?. Matern Child Nutr. 2014;10(1):159–60.
    1. Bai Y, Naumova EN, Masters WA. Seasonality of diet costs reveals food system performance in East Africa. Sci Adv. 2020;6(49):eabc2162.
    1. Lourme-Ruiz A, Koffi CK, Gautier D, Bahya-Batinda D, Bouquet E, Dury Set al. . Seasonal variability of women's dietary diversity and food provisioning: a cohort study in rural Burkina Faso. Public Health Nutr. [accessed 2022 May 16]. doi:10.1017/S1368980021004171.
    1. Toe LC, Bouckaert KP, De Beuf K, Roberfroid D, Meda N, Thas Oet al. . Seasonality modifies the effect of a lipid-based nutrient supplement for pregnant rural women on birth length. J Nutr. 2015;145(3):634–9.
    1. Rayco-Solon P, Fulford AJ, Prentice AM. Differential effects of seasonality on preterm birth and intrauterine growth restriction in rural Africans. Am J Clin Nutr. 2005;81(1):134–9.
    1. Ouédraogo A, Tiono AB, Diarra A, Sanon S, Yaro JB, OuedCogo Eet al. . Malaria morbidity in high and seasonal malaria transmission area of Burkina Faso. PLoS One. 2013;8(1):e50036.
    1. Vanslambrouck K, De Kok B, Toe LC, De Cock N, Ouedraogo M, Dailey-Chwalibóg Tet al. . Effect of balanced energy-protein supplementation during pregnancy and lactation on birth outcomes and infant growth in rural Burkina Faso: study protocol for a randomised controlled trial. BMJ Open. 2021;11(3):e038393.
    1. Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell Aet al. . Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology (STROBE-nut): an extension of the STROBE statement. PLoS Med. 2016;13(6):e1002036.
    1. Jones L, de Kok B, Moore K, de Pee S, Bedford J, Vanslambrouck Ket al. . Acceptability of 12 fortified balanced energy protein supplements – insights from Burkina Faso. Matern Child Nutr. 2021;17(1):e13067.
    1. de Kok B, Moore K, Jones L, Vanslambrouck K, Toe LC, Ouédraogo Met al. . Home consumption of two fortified balanced energy protein supplements by pregnant women in Burkina Faso. Matern Child Nutr. 2021;17(3):e13134.
    1. de Kok B, Argaw A, Hanley-Cook G, Toe LC, Ouédraogo M, Dailey-Chwalibóg T, Lachat Cet al. . Fortified balanced energy-protein supplements increase nutrient adequacy without displacing food intake in pregnant women in rural Burkina Faso. J Nutr. 2021;151(12):3831–40.
    1. Savy M, Martin-Prével Y, Sawadogo P, Kameli Y, Delpeuch F. Use of variety/diversity scores for diet quality measurement: relation with nutritional status of women in a rural area in Burkina Faso. Eur J Clin Nutr. 2005;59(5):703–16.
    1. Huybregts L, Roberfroid D, Kolsteren P, Van Camp J. Dietary behaviour, food and nutrient intake of pregnant women in a rural community in Burkina Faso. Matern Child Nutr. 2009;5(3):211–22.
    1. FAO . Minimum Dietary Diversity for Women. An updated guide for measurement: from collection to action. Rome (Italy): FAO; 2021.
    1. Nguyen PH, Huybregts L, Sanghvi TG, Tran LM, Frongillo EA, Menon P, Ruel MT. Dietary diversity predicts the adequacy of micronutrient intake in pregnant adolescent girls and women in Bangladesh, but use of the 5-group cutoff poorly identifies individuals with inadequate intake. J Nutr. 2018;148(5):790–7.
    1. Beaton GH, Milner J, Corey P, McGuire V, Cousins M, Stewart Eet al. . Sources of variance of 24-hour dietary recall data: implications for nutrition study designing and interpretation. Am J Clin Nutr. 1979;32(12):2546–59.
    1. Waswa LM, Jordan I, Krawinkel MB, Keding GB. Seasonal variations in dietary diversity and nutrient intakes of women and their children (6–23 months) in Western Kenya. Front Nutr. 2021;8:80.
    1. Bonis-Profumo G, Stacey N, Brimblecombe J. Maternal diets matter for children's dietary quality: seasonal dietary diversity and animal-source foods consumption in rural Timor-Leste. Matern Child Nutr. 2021;17(1):e13071.
    1. Becquey E, Delpeuch F, Konaté AM, Delsol H, Lange M, Zoungrana M, Martin-Prevel Y. Seasonality of the dietary dimension of household food security in urban Burkina Faso. Br J Nutr. 2012;107(12):1860–70.
    1. Somé JW, Jones AD. The influence of crop production and socioeconomic factors on seasonal household dietary diversity in Burkina Faso. PLoS One. 2018;13(5):e0195685.
    1. Mayanja M, Rubaire-Akiiki C, Morton J, Young S, Greiner T. Diet diversity in pastoral and agro-pastoral households in Ugandan rangeland ecosystems. Ecol Food Nutr. 2015;54(5):529–45.
    1. Abizari AR, Azupogo F, Nagasu M, Creemers N, Brouwer ID. Seasonality affects dietary diversity of school-age children in northern Ghana. PLoS One. 2017;12(8):e0183206.
    1. Baye K, Mekonnen D, Choufani J, Yimam S, Bryan E, Grifith JK, Ringler C. Seasonal variation in maternal dietary diversity is reduced by small-scale irrigation practices: a longitudinal study. Matern Child Nutr. 2022;18(2):e13297.
    1. Ahern MB, Kennedy G, Nico G, Diabre O, Chimaliro F, Khonje G, Chanda E. Women's dietary diversity changes seasonally in Malawi and Zambia. [Internet]. Rome (Italy): Alliance of Biodiversity International and CIAT; 2021. [Accessed 2021 Dec 28]. Available from: .
    1. Golden CD, Vaitla B, Ravaoliny L, Vonona MA, Gasta Anjaranirina EJ, Randriamady HJet al. . Seasonal trends of nutrient intake in rainforest communities of north-eastern Madagascar. Public Health Nutr. 2019;22(12):2200–9.
    1. Hirvonen K, Taffesse AS, Worku Hassen I. Seasonality and household diets in Ethiopia. Public Health Nutr. 2016;19(10):1723–30.
    1. Arsenault JE, Nikiema L, Allemand P, Ayassou KA, Lanou H, Moursi Met al. . Seasonal differences in food and nutrient intakes among young children and their mothers in rural Burkina Faso. J Nutr Sci. 2014;3:e55.
    1. Roba KT, O'Connor TP, O'Brien NM, Aweke CS, Kahsay ZA, Chisholm N, Lahiff E. Seasonal variations in household food insecurity and dietary diversity and their association with maternal and child nutritional status in rural Ethiopia. Food Secur. 2019;11(3):651–64.
    1. Thorne-Lyman AL, Shrestha M, Fawzi WW, Pasqualino M, Strand TA, Kvestad Iet al. . Dietary diversity and child development in the far west of Nepal: a cohort study. Nutrients. 2019;11(8):1799.
    1. Hjertholm KG, Holmboe-Ottesen G, Iversen PO, Mdala I, Munthali A, Maleta Ket al. . Seasonality in associations between dietary diversity scores and nutrient adequacy ratios among pregnant women in rural Malawi—a cross-sectional study. Food Nutr Res. 2019;63.
    1. Caswell BL, Talegawkar SA, Siamusantu W, West KP, Palmer AC. A 10-food group dietary diversity score outperforms a 7-food group score in characterizing seasonal variability and micronutrient adequacy in rural Zambian children. J Nutr. 2018;148(1):131–9.
    1. Dulal B, Mundy G, Sawal R, Rana PP, Cunningham K. Homestead food production and maternal and child dietary diversity in Nepal: variations in association by season and agroecological zone. Food Nutr Bull. 2017;38(3):338–53.
    1. Savy M, Martin-Prével Y, Traissac P, Eymard-Duvernay S, Delpeuch F. Dietary diversity scores and nutritional status of women change during the seasonal food shortage in rural Burkina Faso. J Nutr. 2006;136(10):2625–32.
    1. Ng'endo M, Bhagwat S, Keding GB. Influence of seasonal on-farm diversity on dietary diversity: a case study of smallholder farming households in Western Kenya. Ecol Food Nutr. 2016;55(5):403–27.
    1. Campbell RK, Talegawkar SA, Christian P, LeClerq SC, Khatry SK, Wu LSF, West KP Jr. Seasonal dietary intakes and socioeconomic status among women in the Terai of Nepal. J Health Popul Nutr. 2014;32(2):198–216.
    1. Stevens B, Watt K, Brimbecombe J, Clough A, Judd J, Lindsay D. The role of seasonality on the diet and household food security of pregnant women living in rural Bangladesh: a cross-sectional study. Public Health Nutr. 2017;20(1):121–9.
    1. Coates J, Swindale A, Bilinsky P. Household Food Insecurity Access Scale (HFIAS) for measurement of food access: indicator guide (v.3). Washington (DC): Food and Nutrition Technical Assistance Project & FHI 360; 2007.
    1. Ngala S. Evaluation of dietary diversity scores to assess nutrient adequacy among rural Kenyan women. [Internet]. Wageningen (The Netherlands): Wageningen University; 2015. [Accessed 2021 Dec 28]. Available from: .
    1. Diop L, Becquey E, Turowska Z, Huybregts L, Ruel MT, Gelli A. Standard minimum dietary diversity indicators for women or infants and young children are good predictors of adequate micronutrient intakes in 24–59-month-old children and their nonpregnant nonbreastfeeding mothers in rural Burkina Faso. J Nutr. 2021;151(2):412–22.
    1. Fulford AJC, Rayco-Solon P, Prentice AM. Statistical modelling of the seasonality of preterm delivery and intrauterine growth restriction in rural Gambia. Paediatr Perinat Epidemiol. 2006;20(3):251–9.
    1. Martin-Prevel Y, Becquey E, Tapsoba S, Castan F, Coulibaly D, Fortin Set al. . The 2008 food price crisis negatively affected household food security and dietary diversity in urban Burkina Faso. J Nutr. 2012;142(9):1748–55.
    1. Hanley-Cook GT, Tung JYA, Sattamini IF, Marinda PA, Thong K, Zerfu Det al. . Minimum Dietary Diversity for Women of Reproductive Age (MDD-W) data collection: validity of the list-based and open recall methods as compared to weighed food record. Nutrients. 2020;12(7):2039.
    1. Custodio E, Kayikatire F, Fortin S, Thomas AC, Kameli Y, Nkunzimana Tet al. . Minimum dietary diversity among women of reproductive age in urban Burkina Faso. Matern Child Nutr. 2020;16(2):e12897.
    1. Savy M, Martin-Prével Y, Danel P, Traissac P, Dabiré H, Delpeuch F. Are dietary diversity scores related to the socio-economic and anthropometric status of women living in an urban area in Burkina Faso?. Public Health Nut. 2008;11(2):132–41.
    1. Lachat C, Raneri JE, Smith KW, Kolsteren P, Van Damme P, Verzelen Ket al. . Dietary species richness as a measure of food biodiversity and nutritional quality of diets. Proc Natl Acad Sci. 2018;115(1):127–32.
    1. Bromage S, Batis C, Bhupathiraju SN, Fawzi WW, Fung TT, Li Yet al. . Development and validation of a novel food-based Global Diet Quality Score (GDQS). J Nutr. 2021;151(Suppl 2):75S–92S.
    1. Nguyen PH, Martin-Prevel Y, Moursi M, Tran LM, Menon P, Ruel MT, Arimond M. Assessing dietary diversity in pregnant women: relative validity of the list-based and open recall methods. Curr Dev Nutr. 2020;4(1):nzz134.

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