Literature DB >> 29673875

Intervention strategies to improve nutrition and health behaviours before conception.

Mary Barker1, Stephan U Dombrowski2, Tim Colbourn3, Caroline H D Fall4, Natasha M Kriznik5, Wendy T Lawrence1, Shane A Norris6, Gloria Ngaiza3, Dilisha Patel7, Jolene Skordis-Worrall3, Falko F Sniehotta8, Régine Steegers-Theunissen9, Christina Vogel1, Kathryn Woods-Townsend10, Judith Stephenson11.   

Abstract

The nutritional status of both women and men before conception has profound implications for the growth, development, and long-term health of their offspring. Evidence of the effectiveness of preconception interventions for improving outcomes for mothers and babies is scarce. However, given the large potential health return, and relatively low costs and risk of harm, research into potential interventions is warranted. We identified three promising strategies for intervention that are likely to be scalable and have positive effects on a range of health outcomes: supplementation and fortification; cash transfers and incentives; and behaviour change interventions. On the basis of these strategies, we suggest a model specifying pathways to effect. Pathways are incorporated into a life-course framework using individual motivation and receptiveness at different preconception action phases, to guide design and targeting of preconception interventions. Interventions for individuals not planning immediate pregnancy take advantage of settings and implementation platforms outside the maternal and child health arena, since this group is unlikely to be engaged with maternal health services. Interventions to improve women's nutritional status and health behaviours at all preconception action phases should consider social and environmental determinants, to avoid exacerbating health and gender inequalities, and be underpinned by a social movement that touches the whole population. We propose a dual strategy that targets specific groups actively planning a pregnancy, while improving the health of the population more broadly. Modern marketing techniques could be used to promote a social movement based on an emotional and symbolic connection between improved preconception maternal health and nutrition, and offspring health. We suggest that speedy and scalable benefits to public health might be achieved through strategic engagement with the private sector. Political theory supports the development of an advocacy coalition of groups interested in preconception health, to harness the political will and leadership necessary to turn high-level policy into effective coordinated action.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29673875      PMCID: PMC6075694          DOI: 10.1016/S0140-6736(18)30313-1

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  74 in total

Review 1.  Effective strategies for weight loss in post-partum women: a systematic review and meta-analysis.

Authors:  S Lim; S O'Reilly; H Behrens; T Skinner; I Ellis; J A Dunbar
Journal:  Obes Rev       Date:  2015-08-27       Impact factor: 9.213

Review 2.  Is adolescence a sensitive period for sociocultural processing?

Authors:  Sarah-Jayne Blakemore; Kathryn L Mills
Journal:  Annu Rev Psychol       Date:  2013-09-06       Impact factor: 24.137

3.  Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition?

Authors:  Marie T Ruel; Harold Alderman
Journal:  Lancet       Date:  2013-06-06       Impact factor: 79.321

Review 4.  The effects of preconception interventions on improving reproductive health and pregnancy outcomes in primary care: A systematic review.

Authors:  Norita Hussein; Joe Kai; Nadeem Qureshi
Journal:  Eur J Gen Pract       Date:  2015-11-26       Impact factor: 1.904

Review 5.  Women's groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis.

Authors:  Audrey Prost; Tim Colbourn; Nadine Seward; Kishwar Azad; Arri Coomarasamy; Andrew Copas; Tanja A J Houweling; Edward Fottrell; Abdul Kuddus; Sonia Lewycka; Christine MacArthur; Dharma Manandhar; Joanna Morrison; Charles Mwansambo; Nirmala Nair; Bejoy Nambiar; David Osrin; Christina Pagel; Tambosi Phiri; Anni-Maria Pulkki-Brännström; Mikey Rosato; Jolene Skordis-Worrall; Naomi Saville; Neena Shah More; Bhim Shrestha; Prasanta Tripathy; Amie Wilson; Anthony Costello
Journal:  Lancet       Date:  2013-05-18       Impact factor: 79.321

Review 6.  Systematic review of clinical trials on dietary interventions to prevent excessive weight gain during pregnancy among normal weight, overweight and obese women.

Authors:  Ida Tanentsapf; Berit L Heitmann; Amanda R A Adegboye
Journal:  BMC Pregnancy Childbirth       Date:  2011-10-26       Impact factor: 3.007

7.  Does brief telephone support improve engagement with a web-based weight management intervention? Randomized controlled trial.

Authors:  Laura Dennison; Leanne Morrison; Scott Lloyd; Dawn Phillips; Beth Stuart; Sarah Williams; Katherine Bradbury; Paul Roderick; Elizabeth Murray; Susan Michie; Paul Little; Lucy Yardley
Journal:  J Med Internet Res       Date:  2014-03-28       Impact factor: 5.428

8.  Societal Valorisation of New Knowledge to Improve Perinatal Health: Time to Act.

Authors:  Eric A P Steegers; Mary E Barker; Régine P M Steegers-Theunissen; Michelle A Williams
Journal:  Paediatr Perinat Epidemiol       Date:  2016-03       Impact factor: 3.980

9.  Pre-pregnancy community-based intervention for couples in Malaysia: application of intervention mapping.

Authors:  Shane A Norris; Julius Cheah Chee Ho; Aswir Abd Rashed; Vibeke Vinding; Jutta K H Skau; Regien Biesma; Jens Aagaard-Hansen; Mark Hanson; Priya Matzen
Journal:  BMC Public Health       Date:  2016-11-17       Impact factor: 3.295

Review 10.  A RE-AIM evaluation of evidence-based multi-level interventions to improve obesity-related behaviours in adults: a systematic review (the SPOTLIGHT project).

Authors:  Sofie Compernolle; Katrien De Cocker; Jeroen Lakerveld; Joreintje D Mackenbach; Giel Nijpels; Jean-Michel Oppert; Harry Rutter; Pedro J Teixeira; Greet Cardon; Ilse De Bourdeaudhuij
Journal:  Int J Behav Nutr Phys Act       Date:  2014-12-06       Impact factor: 6.457

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  67 in total

1.  Cardiovascular risk factors before and during pregnancy: Does pregnancy unmask or initiate risk?

Authors:  Emily W Harville; Carrie E Crook; Lydia A Bazzano; Jessica G Woo; Trudy L Burns; Olli Raitakari; Elaine M Urbina; Alison Venn; David R Jacobs; Julia Steinberger; Alan Sinaiko; Terence Dwyer; Markus Juonala
Journal:  J Obstet Gynaecol Res       Date:  2021-09-05       Impact factor: 1.730

2.  Altering product placement to create a healthier layout in supermarkets: Outcomes on store sales, customer purchasing, and diet in a prospective matched controlled cluster study.

Authors:  Christina Vogel; Sarah Crozier; Daniel Penn-Newman; Kylie Ball; Graham Moon; Joanne Lord; Cyrus Cooper; Janis Baird
Journal:  PLoS Med       Date:  2021-09-07       Impact factor: 11.069

3.  Interpregnancy weight gain and childhood obesity: analysis of a UK population-based cohort.

Authors:  Nida Ziauddeen; Jonathan Y Huang; Elizabeth Taylor; Paul J Roderick; Keith M Godfrey; Nisreen A Alwan
Journal:  Int J Obes (Lond)       Date:  2021-10-13       Impact factor: 5.095

4.  Is maternal weight gain between pregnancies associated with risk of large-for-gestational age birth? Analysis of a UK population-based cohort.

Authors:  Nida Ziauddeen; Sam Wilding; Paul J Roderick; Nicholas S Macklon; Nisreen A Alwan
Journal:  BMJ Open       Date:  2019-07-09       Impact factor: 2.692

Review 5.  A wake-up call for preconception health: a clinical review.

Authors:  Judith Stephenson; Danielle Ajm Schoenaker; William Hinton; Lucilla Poston; Mary Barker; Nisreen A Alwan; Keith Godfrey; Mark Hanson; Simon de Lusignan
Journal:  Br J Gen Pract       Date:  2021-04-29       Impact factor: 5.386

6.  The association between periconceptional folic acid supplementation and the risk of preterm birth: a population-based retrospective cohort study of 200,000 women in China.

Authors:  Yu Wu; Yanling Yuan; Cai Kong; Qiuyue Ma; Hanfeng Ye; Wenzhan Jing; Jue Liu; Min Liu
Journal:  Eur J Nutr       Date:  2020-10-19       Impact factor: 5.614

7.  Women's perceptions of factors influencing their food shopping choices and how supermarkets can support them to make healthier choices.

Authors:  Preeti Dhuria; Wendy Lawrence; Sarah Crozier; Cyrus Cooper; Janis Baird; Christina Vogel
Journal:  BMC Public Health       Date:  2021-06-05       Impact factor: 3.295

8.  The Preconception Period analysis of Risks and Exposures Influencing health and Development (PrePARED) consortium.

Authors:  Emily W Harville; Gita D Mishra; Edwina Yeung; Sunni L Mumford; Enrique F Schisterman; Anne Marie Jukic; Elizabeth E Hatch; Ellen M Mikkelsen; Hong Jiang; Deborah B Ehrenthal; Christina A Porucznik; Joseph B Stanford; Shi-Wu Wen; Alysha Harvey; Danielle Symons Downs; Chittaranjan Yajnik; Donna Santillan; Mark Santillan; Thomas F McElrath; Jessica G Woo; Elaine M Urbina; Jorge E Chavarro; Daniela Sotres-Alvarez; Lydia Bazzano; Jun Zhang; Anne Steiner; Erica P Gunderson; Lauren A Wise
Journal:  Paediatr Perinat Epidemiol       Date:  2019-10-28       Impact factor: 3.980

9.  Maternal Preconception Body Size and Early Childhood Growth during Prenatal and Postnatal Periods Are Positively Associated with Child-Attained Body Size at Age 6-7 Years: Results from a Follow-up of the PRECONCEPT Trial.

Authors:  Phuong Hong Nguyen; Melissa F Young; Long Quynh Khuong; Lan Mai Tran; Thai Hong Duong; Hoang Cong Nguyen; Reynaldo Martorell; Usha Ramakrishnan
Journal:  J Nutr       Date:  2021-05-11       Impact factor: 4.798

10.  Associations between periconceptional lifestyle behaviours and adverse pregnancy outcomes.

Authors:  Veronique Y F Maas; Marjolein Poels; Marije Lamain-de Ruiter; Anneke Kwee; Mireille N Bekker; Arie Franx; Maria P H Koster
Journal:  BMC Pregnancy Childbirth       Date:  2021-07-07       Impact factor: 3.007

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