Literature DB >> 29726948

Children with Poor Linear Growth Are at Risk for Repeated Relapse to Wasting after Recovery from Moderate Acute Malnutrition.

Heather C Stobaugh1,2,3, Beatrice L Rogers2, Irwin H Rosenberg2, Patrick Webb2, Kenneth M Maleta4, Mark J Manary1,4,5, Indi Trehan1,6,7.   

Abstract

Background: Nutrition programs frequently approach wasting and stunting as 2 separate conditions with distinct causes and effects. Although several cross-sectional studies have identified an association between the 2 conditions, longitudinal studies are useful to quantify the risk of acute malnutrition based on the trajectory of linear growth. Objective: We analyzed data from a longitudinal study to explore associations between linear growth and relapse to acute malnutrition in high-risk children during the year after recovery from moderate acute malnutrition (MAM).
Methods: This was a secondary data analysis from a cluster randomized trial involving 1487 Malawian children 6-62 mo old treated for MAM and enrolled upon recovery. Children were followed for 1 y, during which data were collected on anthropometric progress, symptoms of illness, and household food security. Multivariate fixed-effects logistic regression was used to identify associations between linear growth and relapse to acute malnutrition.
Results: Children who have recovered from MAM proved to be a high-risk population, with nearly half experiencing a decrease in height-for-age z score (HAZ) for 12 mo. Children whose HAZ was declining were more likely to relapse to MAM or SAM than were those whose linear growth rate maintained or increased their HAZ (P < 0.001). Mean changes of +0.15, -0.03, -0.17, and -0.53 in HAZ were observed for those who sustained recovery, relapsed to MAM once, relapsed to MAM multiple times, and developed SAM, respectively.
Conclusion: Our results add to the body of evidence suggesting that acute wasting is a harbinger of subsequent stunting. Children who experience poor linear growth after MAM are more likely to experience relapse. Given this bidirectional relation between wasting and stunting, supplementary feeding programs should consider both when designing protocols, aiming to optimize linear growth and achieve acute weight gain, as a means of reducing relapse. This trial was registered at clinicaltrials.gov as NCT02351687.

Entities:  

Mesh:

Year:  2018        PMID: 29726948     DOI: 10.1093/jn/nxy033

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  10 in total

1.  Methods for assessing seasonal and annual trends in wasting in Indian surveys (NFHS-3, 4, RSOC & CNNS).

Authors:  Robert Johnston; Gaurav Dhamija; Mudit Kapoor; Praween K Agrawal; Arjan de Wagt
Journal:  PLoS One       Date:  2021-11-22       Impact factor: 3.240

Review 2.  Design Factors for Food Supplementation and Nutrition Education Interventions That Limit Conclusions about Effectiveness for Wasting Prevention: A Scoping Review of Peer-Reviewed Literature.

Authors:  Scott B Ickes; Christina Craig; Rebecca Heidkamp
Journal:  Adv Nutr       Date:  2022-02-01       Impact factor: 11.567

3.  Linear Growth Spurts are Preceded by Higher Weight Gain Velocity and Followed by Weight Slowdowns Among Rural Children in Burkina Faso: A Longitudinal Study.

Authors:  Ilana R Cliffer; Nandita Perumal; William A Masters; Elena N Naumova; Laetitia Nikiema Ouedraogo; Franck Garanet; Beatrice L Rogers
Journal:  J Nutr       Date:  2022-08-09       Impact factor: 4.687

4.  Wasted Children and Wasted Time: A Challenge to Meeting the Nutrition Sustainable Development Goals with a High Economic Impact to Ethiopia.

Authors:  Arnaud Laillou; Kaleab Baye; Zelalem Meseret; Hiwot Darsene; Abdulai Rashid; Stanley Chitekwe
Journal:  Nutrients       Date:  2020-11-30       Impact factor: 5.717

5.  Incidence of relapse following a new approach to simplifying and optimising acute malnutrition treatment in children aged 6-59 months: a prospective cohort in rural Northern Burkina Faso.

Authors:  Maguy Daures; Kevin Phelan; Mariama Issoufou; Ousmane Sawadogo; Bruno Akpakpo; Moumouni Kinda; Susan Shepherd; Renaud Becquet
Journal:  J Nutr Sci       Date:  2021-04-19

Review 6.  The relationship between wasting and stunting in young children: A systematic review.

Authors:  Susan Thurstans; Natalie Sessions; Carmel Dolan; Kate Sadler; Bernardette Cichon; Sheila Isanaka; Dominique Roberfroid; Heather Stobaugh; Patrick Webb; Tanya Khara
Journal:  Matern Child Nutr       Date:  2021-09-05       Impact factor: 3.092

7.  Recovery of children following hospitalisation for complicated severe acute malnutrition.

Authors:  Mutsa Bwakura-Dangarembizi; Cherlynn Dumbura; Beatrice Amadi; Bernard Chasekwa; Deophine Ngosa; Florence D Majo; Jonathan P Sturgeon; Kanta Chandwe; Chanda Kapoma; Claire D Bourke; Ruairi C Robertson; Kusum J Nathoo; Robert Ntozini; Shane A Norris; Paul Kelly; Andrew J Prendergast
Journal:  Matern Child Nutr       Date:  2021-12-22       Impact factor: 3.660

8.  Relapse and regression to severe wasting in children under 5 years: A theoretical framework.

Authors:  Robin Schaefer; Amy Mayberry; André Briend; Mark Manary; Polly Walker; Heather Stobaugh; Kerstin Hanson; Marie McGrath; Robert Black
Journal:  Matern Child Nutr       Date:  2020-11-03       Impact factor: 3.092

9.  Prevention of child wasting: Results of a Child Health & Nutrition Research Initiative (CHNRI) prioritisation exercise.

Authors:  Severine Frison; Chloe Angood; Tanya Khara; Paluku Bahwere; Robert E Black; André Briend; Nicki Connell; Bridget Fenn; Sheila Isanaka; Philip James; Marko Kerac; Amy Mayberry; Mark Myatt; Carmel Dolan
Journal:  PLoS One       Date:  2020-02-12       Impact factor: 3.240

10.  A cross-sectional study of prevalence and risk factors for stunting among under-fives attending acute malnutrition treatment programmes in north-western Nigeria: Should these programmes be adapted to also manage stunting?

Authors:  Abdulazeez Imam; Fatimah Hassan-Hanga; Azeezat Sallahdeen; Zubaida L Farouk
Journal:  Int Health       Date:  2021-04-27       Impact factor: 2.473

  10 in total

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