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Dietary patterns and their associations with postpartum weight retention: results of the MINA cohort study

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Abstract

Purpose

To examine the association of prepregnancy dietary patterns with postpartum weight retention at 6 months (PPWR6) among Lebanese and Qatari women.

Methods

Data for this study were derived from the Mother and Infant Nutrition Assessment (MINA) prospective cohort study conducted in Lebanon and Qatar. Pregnant women were recruited during their first trimester and were followed up for three years. For the purpose of this study, data belonging to sociodemographic characteristics of participants, prepregnancy dietary intake, prepregnancy BMI as well as weight retention at 6 months were used. Dietary intake was examined using a 98-item food frequency questionnaire. Principal component analysis was used for the derivation of dietary patterns. The associations of dietary patterns with PPWR6 were examined using simple and multiple linear regressions.

Results

Data was available for 177 participants (Lebanon: 93; Qatar: 84). Mean PPWR6 was 4.05 ± 5.29 kg. Significantly higher PPWR6 was observed among participants with pre-pregnancy overweight/obesity and among those with excessive gestational weight gain. Two dietary patterns were identified: the “Western” and the “Varied” patterns. After adjustment for confounders, a positive association was observed between the ‘Western’ pattern scores and PPWR6 (ß = 1.27; 95% CI 0.68–1.86; p value: < 0.0001).

Conclusion

Higher adherence to the Western pattern was associated with higher PPWR6 amongst women, hence underscoring the importance of public health interventions aimed at fostering healthier dietary habits during this crucial stage of the lifecycle.

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Data availability

Data available upon request from the authors.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

EMR:

Eastern Mediterranean Region

FFQ:

Food frequency questionnaire

GDM:

Gestational diabetes mellitus

GWG:

Gestational weight gain

MINA:

Mother and infant nutrition assessment

NCDs:

Non-communicable diseases

PPWR6 :

Postpartum weight retention at six months

SD:

Standard deviation

SE:

Standard error

T2D:

Type 2 diabetes

References

  1. Harrison CL, Teede H, Khan N et al (2021) Weight management across preconception, pregnancy, and postpartum: a systematic review and quality appraisal of international clinical practice guidelines. Obes Rev 22:e13310. https://doi.org/10.1111/obr.13310

    Article  PubMed  Google Scholar 

  2. Zheng Y, Manson JE, Yuan C et al (2017) Associations of weight gain from early to middle adulthood with major health outcomes later in life. JAMA 318:255–269. https://doi.org/10.1001/jama.2017.7092

    Article  PubMed  PubMed Central  Google Scholar 

  3. Makama M, Skouteris H, Moran LJ, Lim S (2021) Reducing postpartum weight retention: a review of the implementation challenges of postpartum lifestyle interventions. J Clin Med 10:1891. https://doi.org/10.3390/jcm10091891

    Article  PubMed  PubMed Central  Google Scholar 

  4. Tremmel M, Gerdtham U-G, Nilsson PM, Saha S (2017) Economic burden of obesity: a systematic literature review. Int J Environ Res Public Health 14:435. https://doi.org/10.3390/ijerph14040435

    Article  PubMed  PubMed Central  Google Scholar 

  5. Marchi J, Berg M, Dencker A, Olander E, Begley C (2015) Risks associated with obesity in pregnancy, for the mother and baby: a systematic review of reviews. Obes Rev 16:621–638. https://doi.org/10.1111/obr.12288

    Article  CAS  PubMed  Google Scholar 

  6. Rong K, Yu K, Han X et al (2015) Pre-pregnancy BMI, gestational weight gain and postpartum weight retention: a meta-analysis of observational studies. Public Health Nutr 18:2172–2182. https://doi.org/10.1017/S1368980014002523

    Article  PubMed  Google Scholar 

  7. Boy E, Mannar V, Pandav C et al (2009) Achievements, challenges, and promising new approaches in vitamin and mineral deficiency control. Nutr Rev 67:S24–S30. https://doi.org/10.1111/j.1753-4887.2009.00155.x

    Article  PubMed  Google Scholar 

  8. Siri-Tarino PW, Sun Q, Hu FB, Krauss RM (2010) Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease. Am J Clin Nutr 91:535–546. https://doi.org/10.3945/ajcn.2009.27725

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Fortmann SP, Burda BU, Senger CA, Lin JS, Whitlock EP (2013) Vitamin and mineral supplements in the primary prevention of cardiovascular disease and cancer: an updated systematic evidence review for the US Preventive Services Task Force. Ann Intern Med 159:824–834. https://doi.org/10.7326/0003-4819-159-12-201312170-00729

    Article  PubMed  Google Scholar 

  10. Schulz C-A, Oluwagbemigun K, Nöthlings U (2021) Advances in dietary pattern analysis in nutritional epidemiology. Eur J Nutr 60:4115–4130. https://doi.org/10.1007/s00394-021-02545-9

    Article  PubMed  PubMed Central  Google Scholar 

  11. Schulze MB, Martínez-González MA, Fung TT, Lichtenstein AH, Forouhi NG (2018) Food based dietary patterns and chronic disease prevention. BMJ 361:k2396. https://doi.org/10.1136/bmj.k2396

    Article  PubMed  PubMed Central  Google Scholar 

  12. Nanri A, Mizoue T, Shimazu T et al (2017) Dietary patterns and all-cause, cancer, and cardiovascular disease mortality in Japanese men and women: the Japan public health center-based prospective study. PLoS ONE 12:e0174848. https://doi.org/10.1371/journal.pone.0174848

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. English LK, Ard JD, Bailey RL et al (2021) Evaluation of dietary patterns and all-cause mortality: a systematic review. JAMA Netw Open 4:e2122277. https://doi.org/10.1001/jamanetworkopen.2021.22277

    Article  PubMed  PubMed Central  Google Scholar 

  14. Jayedi A, Soltani S, Abdolshahi A, Shab-Bidar S (2020) Healthy and unhealthy dietary patterns and the risk of chronic disease: an umbrella review of meta-analyses of prospective cohort studies. Br J Nutr 124:1133–1144. https://doi.org/10.1017/S0007114520002330

    Article  CAS  PubMed  Google Scholar 

  15. Alwan Ad (1997) Noncommunicable diseases: a major challenge to public health in the Region. East Mediterr Health J 3:6–16

    Google Scholar 

  16. Nasreddine L, Ayoub J, Abbas N, Abdul Malik M, Naja F (2020) Postpartum weight retention and its determinants in Lebanon and Qatar: results of the mother and infant nutrition assessment (MINA) cohort. Int J Environ Res Public Health 17:7851. https://doi.org/10.3390/ijerph17217851

    Article  PubMed  PubMed Central  Google Scholar 

  17. Naja F, Nasreddine L, Yunis K et al (2016) Study protocol: mother and infant nutritional assessment (MINA) cohort study in Qatar and Lebanon. BMC Pregnancy Childbirth 16:98. https://doi.org/10.1186/s12884-016-0864-5

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. El Sayed AR, Baroudi M, Shatila H et al (2020) Validity and reproducibility of a culture-specific food frequency questionnaire in Lebanon. Nutrients 12:3316. https://doi.org/10.3390/nu12113316

    Article  CAS  Google Scholar 

  19. Posner BM, Smigelski C, Duggal A, Morgan J, Cobb J, Cupples L (1992) Validation of two-dimensional models for estimation of portion size in nutrition research. J Am Diet Assoc 92:738–741

    Article  CAS  PubMed  Google Scholar 

  20. Institute of Medicine & National Research Council (2009) Weight gain during pregnancy: reexamining the guidelines. National Academies Press, Washington, DC. https://pubmed.ncbi.nlm.nih.gov/20669500/.

  21. Michels KB, Schulze MB (2005) Can dietary patterns help us detect diet–disease associations? Nutr Res Rev 18:241–248. https://doi.org/10.1079/NRR2005107

    Article  PubMed  Google Scholar 

  22. Field AP (2005) Discovering statistics using SPSS for windows. Sage, London

    Google Scholar 

  23. McCann SE, Marshall JR, Brasure JR, Graham S, Freudenheim JL (2001) Analysis of patterns of food intake in nutritional epidemiology: food classification in principal components analysis and the subsequent impact on estimates for endometrial cancer. Public Health Nutr 4:989–997. https://doi.org/10.1079/phn2001168

    Article  CAS  PubMed  Google Scholar 

  24. Lee I, Preacher K (2013) Calculation for the test of the difference between two dependent correlations with one variable in common [Computer software

  25. Willett W (1998) Nutritional epidemiology. Oxford University Press, New York

    Book  Google Scholar 

  26. Chowdhury MZI, Turin TC (2020) Variable selection strategies and its importance in clinical prediction modelling. Fam Med Community Health 8:e000262. https://doi.org/10.1136/fmch-2019-000262

    Article  PubMed  PubMed Central  Google Scholar 

  27. World Health Organization (2021) Obesity and overweight: key facts. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed 3 Apr 2023

  28. Slattery ML (2010) Analysis of dietary patterns in epidemiological research. Appl Physiol Nutr Metab 35:207–210. https://doi.org/10.1139/H10-006

    Article  PubMed  Google Scholar 

  29. Hoffmann K, Schulze MB, Schienkiewitz A, Nöthlings U, Boeing H (2004) Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol 159:935–944. https://doi.org/10.1093/aje/kwh134

    Article  PubMed  Google Scholar 

  30. Krause KM, Lovelady CA, Peterson BL, Chowdhury N, Østbye T (2010) Effect of breast-feeding on weight retention at 3 and 6 months postpartum: data from the North Carolina WIC Programme. Public Health Nutr 13:2019–2026. https://doi.org/10.1017/S1368980010001503

    Article  PubMed  Google Scholar 

  31. Zanotti J, Capp E, Wender MCO (2015) Factors associated with postpartum weight retention in a Brazilian cohort. Rev Bras Ginecol Obstet 37:164–171. https://doi.org/10.1590/SO100-720320150005186

    Article  PubMed  Google Scholar 

  32. Fadzil F, Shamsuddin K, Puteh SEW et al (2018) Predictors of postpartum weight retention among urban Malaysian mothers: a prospective cohort study. Obes Res Clin Pract 12:493–499. https://doi.org/10.1016/j.orcp.2018.06.003

    Article  PubMed  Google Scholar 

  33. Sha T, Cheng G, Li C et al (2019) Patterns of women’s postpartum weight retention and its associations with maternal obesity-related factors and parity. Int J Env Res Public Health 16:4510. https://doi.org/10.3390/ijerph16224510

    Article  Google Scholar 

  34. Shao H-H, Hwang L-C, Huang J-P, Hsu H-Y (2018) Postpartum weight retention risk factors in a Taiwanese cohort study. Obes Facts 11:37–45. https://doi.org/10.1159/000484934

    Article  PubMed  PubMed Central  Google Scholar 

  35. Huang T-T, Wang H-S, Dai F-T (2010) Effect of pre-pregnancy body size on postpartum weight retention. Midwifery 26:222–231. https://doi.org/10.1016/j.midw.2008.05.001

    Article  PubMed  Google Scholar 

  36. Hollis J, Crozier S, Inskip H et al (2017) Modifiable risk factors of maternal postpartum weight retention: an analysis of their combined impact and potential opportunities for prevention. Int J Obes 41:1091–1098. https://doi.org/10.1038/ijo.2017.78

    Article  CAS  Google Scholar 

  37. Naja F, Nasreddine L, Itani L et al (2011) Dietary patterns and their association with obesity and sociodemographic factors in a national sample of Lebanese adults. Public Health Nutr 14:1570–1578. https://doi.org/10.1017/S136898001100070X

    Article  PubMed  Google Scholar 

  38. Paradis A-M, Godin G, Pérusse L, Vohl M-C (2009) Associations between dietary patterns and obesity phenotypes. Int J Obes 33:1419–1426. https://doi.org/10.1038/ijo.2009.179

    Article  Google Scholar 

  39. Naja F, Hwalla N, Itani L, Karam S, Sibai AM, Nasreddine L (2015) A Western dietary pattern is associated with overweight and obesity in a national sample of Lebanese adolescents (13–19 years): a cross-sectional study. Br J Nutr 114:1909–1919. https://doi.org/10.1017/S0007114515003657

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Tucker KL (2010) Dietary patterns, approaches, and multicultural perspective. Appl Physiol Nutr Metab 35:211–218. https://doi.org/10.1139/H10-010

    Article  PubMed  Google Scholar 

  41. Naja F, Nasreddine L, Itani L, Adra N, Sibai A, Hwalla N (2013) Association between dietary patterns and the risk of metabolic syndrome among Lebanese adults. Eur J Nutr 52:97–105. https://doi.org/10.1007/s00394-011-0291-3

    Article  CAS  PubMed  Google Scholar 

  42. Pou SA, del Pilar DM, De La Quintana AG, Forte CA, Aballay LR (2016) Identification of dietary patterns in urban population of Argentina: study on diet-obesity relation in population-based prevalence study. Nutr Res Pract 10:616–622. https://doi.org/10.4162/nrp.2016.10.6.616

    Article  PubMed  PubMed Central  Google Scholar 

  43. Roman G, Rusu A, Graur M et al (2019) Dietary patterns and their association with obesity: a cross-sectional study. Acta Endocrinol 15:86–95. https://doi.org/10.4183/aeb.2019.86

    Article  Google Scholar 

  44. Newby P, Muller D, Tucker KL (2004) Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr 80:759–767. https://doi.org/10.1093/ajcn/80.3.759

    Article  CAS  PubMed  Google Scholar 

  45. Egg S, Erler J, Perktold B et al (2019) Traditional v. modern dietary patterns among a population in western Austria: associations with body composition and nutrient profile. Public Health Nutr 22:455–465. https://doi.org/10.1017/S1368980018003270

    Article  PubMed  Google Scholar 

  46. Boghossian N, Yeung E, Lipsky L, Poon A, Albert P (2013) Dietary patterns in association with postpartum weight retentioN. Am J Clin Nutr 97:1338–1345. https://doi.org/10.3945/ajcn.112.048702

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. de Castro M, Sichieri R, Dos Santos Barbosa Brito F, Nascimento S, Kac G (2014) Mixed dietary pattern is associated with a slower decline of body weight change during postpartum in a cohort of Brazilian women. Nutr Hosp 29:519–525. https://doi.org/10.3305/nh.2014.29.3.7155

    Article  PubMed  Google Scholar 

  48. Most J, Altazan AD, Amant M, Beyl RA, Ravussin E, Redman LM (2020) Increased energy intake after pregnancy determines postpartum weight retention in women with obesity. J Clin Endocrinol Metab 105:e1601–e1611. https://doi.org/10.1210/clinem/dgz330

    Article  PubMed  PubMed Central  Google Scholar 

  49. Lyu L-C, Lo C-C, Chen H-F, Wang C-Y, Liu D-M (2009) A prospective study of dietary intakes and influential factors from pregnancy to postpartum on maternal weight retention in Taipei, Taiwan. Br J Nutr 102:1828–1837. https://doi.org/10.1017/S0007114509991243

    Article  CAS  PubMed  Google Scholar 

  50. Mahabamunuge J, Simione M, Hong B et al (2021) Association of sugar-sweetened beverage intake with maternal postpartum weight retention. Public Health Nutr 24:4196–4203. https://doi.org/10.1017/S1368980020005169

    Article  PubMed  Google Scholar 

  51. Tabung FK, Wang W, Fung TT et al (2016) Development and validation of empirical indices to assess the insulinaemic potential of diet and lifestyle. Br J Nutr 116:1787–1798. https://doi.org/10.1017/S0007114516003755

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Tabung FK, Smith-Warner SA, Chavarro JE et al (2017) An empirical dietary inflammatory pattern score enhances prediction of circulating inflammatory biomarkers in adults. J Nutr 147:1567–1577. https://doi.org/10.3945/jn.117.248377

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Tabung FK, Satija A, Fung TT, Clinton SK, Giovannucci EL (2019) Long-term change in both dietary insulinemic and inflammatory potential is associated with weight gain in adult women and men. J Nutr 149:804–815. https://doi.org/10.1093/jn/nxy319

    Article  PubMed  PubMed Central  Google Scholar 

  54. Li N, Su X, Liu T et al (2021) Dietary patterns of Chinese puerperal women and their association with postpartum weight retention: results from the mother–infant cohort study. Matern Child Nutr 17:e13061. https://doi.org/10.1111/mcn.13061

    Article  PubMed  Google Scholar 

  55. Stuebe AM, Oken E, Gillman MW (2009) Associations of diet and physical activity during pregnancy with risk for excessive gestational weight gain. Am J Obstet Gynecol 201:58.e58–51.e58. https://doi.org/10.1016/j.ajog.2009.02.025

    Article  Google Scholar 

  56. Rooney B, Schauberger C (2002) Excess pregnancy weight gain and long-term obesity: one decade later. Obstet Gynecol 100:245–252. https://doi.org/10.1016/s0029-7844(02)02125-7

    Article  PubMed  Google Scholar 

  57. Oken E, Taveras E, Popoola F, Rich-Edwards J, Gillman M (2007) Television, walking, and diet: associations with postpartum weight retention. Am J Prev Med 32:305–311. https://doi.org/10.1016/j.amepre.2006.11.012

    Article  PubMed  PubMed Central  Google Scholar 

  58. Gunderson E, Murtaugh M, Lewis C, Quesenberry C, West D, Sidney S (2004) Excess gains in weight and waist circumference associated with childbearing: the coronary artery risk development in young adults study (CARDIA). Int J Obes Relat Metab Disord 28:525–535. https://doi.org/10.1038/sj.ijo.0802551

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Soria-Contreras D, Rifas-Shiman S, Aris I et al (2020) Weight trajectories after delivery are associated with adiposity and cardiometabolic markers at 3 years postpartum among women in project viva. J Nutr 150:1889–1898. https://doi.org/10.1093/jn/nxaa104

    Article  PubMed  PubMed Central  Google Scholar 

  60. Yekta Z, Ayatollahi H, Porali R, Farzin A (2006) The effect of pre-pregnancy body mass index and gestational weight gain on pregnancy outcomes in urban care settings in Urmia-Iran. BMC Pregnancy Childbirth 6:15. https://doi.org/10.1186/1471-2393-6-15

    Article  PubMed  PubMed Central  Google Scholar 

  61. Ng S, Zaghloul S, Ali H et al (2012) Nutrition Transition in the United Arab Emirates (UAE). Eur J Clin Nutr 65:1328–1337. https://doi.org/10.1038/ejcn.2011.135

    Article  Google Scholar 

  62. Okamoto K, Ohsuka K, Shiraishi T, Hukazawa E, Wakasugi S, Furuta K (2002) Comparability of epidemiological information between self-and interviewer-administered questionnaires. J Clin Epidemiol 55:505–511. https://doi.org/10.1016/s0895-4356(01)00515-7

    Article  PubMed  Google Scholar 

  63. Liu J, Song G, Meng T, Zhao G, Guo S (2019) Weight retention at six weeks postpartum and the risk of gestational diabetes mellitus in a second pregnancy. BMC Pregnancy Childbirth 19:1–8. https://doi.org/10.1186/s12884-019-2423-3

    Article  Google Scholar 

  64. Kirkegaard H, Bliddal M, Støvring H et al (2021) Maternal weight change from prepregnancy to 18 months postpartum and subsequent risk of hypertension and cardiovascular disease in Danish women: a cohort study. PLoS Med 18:e1003486. https://doi.org/10.1371/journal.pmed.1003486

    Article  PubMed  PubMed Central  Google Scholar 

  65. Hutchins F, Abrams B, Brooks M et al (2020) The effect of gestational weight gain across reproductive history on maternal body mass index in midlife: the study of women’s health across the nation. J Womens Health 29:148–157. https://doi.org/10.1089/jwh.2019.7839

    Article  Google Scholar 

  66. Gunderson EP (2009) Childbearing and obesity in women: weight before, during, and after pregnancy. Obstet Gynecol Clin 36:317–332. https://doi.org/10.1016/j.ogc.2009.04.001

    Article  Google Scholar 

  67. The American College of Obstetricians and Gynecologists (2018) ACOG committee opinion number 736: optimizing postpartum care. Obstet Gynecol 131:e140–e150. https://doi.org/10.1097/AOG.0000000000002633

    Article  Google Scholar 

  68. Esquivel MK (2021) Nutrition for pregnant and lactating women: the latest recommendations from the dietary guidelines for Americans 2020–2025 and practice implications. Am J Lifestyle Med 15:392–396. https://doi.org/10.1177/15598276211004082

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the MINA collaborators including Dr. Nahla Hwalla, Dr. Ghina Ghazeeri, Dr. Anwar Nassar, Dr. Khalid Yunis, Dr. Saadeddine Itani, Dr. Al Anoud Al Thani, Dr. Zelaikha Bashwar, Dr. Hiba Bawadi. In addition, the authors recognize the contribution of the field workers including Ms. Aya Chatila, Ms. Chirine Assi, Ms. Sarah Batakji, Mrs Zeina Mogharbel, Ms. Sara Elfasakhany, and Dr. Zeinab Mahdi. The authors would like to thank the study participants for their time and commitment.

Funding

This research was funded by the Qatar National Research Fund (QNRF) under the National Priorities Research Program (NPRP 6-247-3-061).

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Contributions

Conceptualization: MA, LN and FN; Methodology: JA, LN and FN; Formal Analysis: JA and FN; Investigation: MA, JA, AM and LN; Data Curation: MA, JA and AM; Writing—Original Draft Preparation: MA, JA, LN and FN; Writing—Review and Editing: LN and FN; Supervision: MA, LN and FN; Project Administration: JA and AM; Funding Acquisition: FN. All authors have read and agreed to the submitted version of the manuscript.

Corresponding author

Correspondence to Lara Nasreddine.

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Conflict of interest

The authors declare no conflict of interest. The funders had no role in the design of the study, in the collection, analyses or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

Ethical approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Institutional Review Board of the American University of Beirut in Lebanon (NUT.FN.12) and the Primary Health Care Corporation in Qatar (PHCC/ RC/15/04/006).

Consent to participate

Written informed consent was obtained from all study participants.

Additional information

The complete membership of the MINA collaborators is found in the Acknowledgments.

Appendix 1

Appendix 1

See Table 

Table 5 Food groupings and corresponding food items used in factor analysis

5.

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Naja, F., Abdulmalik, M., Ayoub, J. et al. Dietary patterns and their associations with postpartum weight retention: results of the MINA cohort study. Eur J Nutr 63, 809–820 (2024). https://doi.org/10.1007/s00394-023-03305-7

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