Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements
Objective To select a growth model that best describes individual growth trajectories of children and to present some growth characteristics of this population.Settings Participants were selected from a prospective cohort conducted in three health centres (Allada, Sekou and Attogon) in a semirural r...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2020-09-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/10/9/e035785.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841554324871708672 |
|---|---|
| author | Achille Massougbodji Michel Cot Shukrullah Ahmadi Florence Bodeau-Livinec Roméo Zoumenou André Garcia David Courtin Jules Alao Nadine Fievet Jérémie Botton |
| author_facet | Achille Massougbodji Michel Cot Shukrullah Ahmadi Florence Bodeau-Livinec Roméo Zoumenou André Garcia David Courtin Jules Alao Nadine Fievet Jérémie Botton |
| author_sort | Achille Massougbodji |
| collection | DOAJ |
| description | Objective To select a growth model that best describes individual growth trajectories of children and to present some growth characteristics of this population.Settings Participants were selected from a prospective cohort conducted in three health centres (Allada, Sekou and Attogon) in a semirural region of Benin, sub-Saharan Africa.Participants Children aged 0 to 6 years were recruited in a cohort study with at least two valid height and weight measurements included (n=961).Primary and secondary outcome measures This study compared the goodness-of-fit of three structural growth models (Jenss-Bayley, Reed and a newly adapted version of the Gompertz growth model) on longitudinal weight and height growth data of boys and girls. The goodness-of-fit of the models was assessed using residual distribution over age and compared with the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The best-fitting model allowed estimating mean weight and height growth trajectories, individual growth and growth velocities. Underweight, stunting and wasting were also estimated at age 6 years.Results The three models were able to fit well both weight and height data. The Jenss-Bayley model presented the best fit for weight and height, both in boys and girls. Mean height growth trajectories were identical in shape and direction for boys and girls while the mean weight growth curve of girls fell slightly below the curve of boys after neonatal life. Finally, 35%, 27.7% and 8% of boys; and 34%, 38.4% and 4% of girls were estimated to be underweight, wasted and stunted at age 6 years, respectively.Conclusion The growth parameters of the best-fitting Jenss-Bayley model can be used to describe growth trajectories and study their determinants. |
| format | Article |
| id | doaj-art-5eb520e34e5044f68c8bf8d45f96afe4 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2020-09-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-5eb520e34e5044f68c8bf8d45f96afe42025-01-08T15:10:08ZengBMJ Publishing GroupBMJ Open2044-60552020-09-0110910.1136/bmjopen-2019-035785Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurementsAchille Massougbodji0Michel Cot1Shukrullah Ahmadi2Florence Bodeau-Livinec3Roméo Zoumenou4André Garcia5David Courtin6Jules Alao7Nadine Fievet8Jérémie Botton9Faculté des Sciences de la Santé, Université d`Abomey-Calavi, Cotonou, Littoral, BeninMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, FranceEnvironment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer/World Health Organization (IARC/WHO), Lyon, FranceUniversité de Paris, Centre of Research in Epidemiology and Statistics /CRESS, INSERM, INRA, Paris, FranceInstitut de Recherche pour le Développement (IRD), Cotonou, BeninMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, FranceMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, FrancePaediatric Department, Mother and Child University and Hospital Center (CHU-MEL), Cotonou, BeninMERIT (Mère et Enfant Face aux Infections Tropicales)-UMR 216, Institut de Recherche pour le Développement (IRD), Université Paris Descartes, Paris, France1 EPI-PHARE Scientific Interest Group in Epidemiology of Health Products, Saint-Denis, FranceObjective To select a growth model that best describes individual growth trajectories of children and to present some growth characteristics of this population.Settings Participants were selected from a prospective cohort conducted in three health centres (Allada, Sekou and Attogon) in a semirural region of Benin, sub-Saharan Africa.Participants Children aged 0 to 6 years were recruited in a cohort study with at least two valid height and weight measurements included (n=961).Primary and secondary outcome measures This study compared the goodness-of-fit of three structural growth models (Jenss-Bayley, Reed and a newly adapted version of the Gompertz growth model) on longitudinal weight and height growth data of boys and girls. The goodness-of-fit of the models was assessed using residual distribution over age and compared with the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The best-fitting model allowed estimating mean weight and height growth trajectories, individual growth and growth velocities. Underweight, stunting and wasting were also estimated at age 6 years.Results The three models were able to fit well both weight and height data. The Jenss-Bayley model presented the best fit for weight and height, both in boys and girls. Mean height growth trajectories were identical in shape and direction for boys and girls while the mean weight growth curve of girls fell slightly below the curve of boys after neonatal life. Finally, 35%, 27.7% and 8% of boys; and 34%, 38.4% and 4% of girls were estimated to be underweight, wasted and stunted at age 6 years, respectively.Conclusion The growth parameters of the best-fitting Jenss-Bayley model can be used to describe growth trajectories and study their determinants.https://bmjopen.bmj.com/content/10/9/e035785.full |
| spellingShingle | Achille Massougbodji Michel Cot Shukrullah Ahmadi Florence Bodeau-Livinec Roméo Zoumenou André Garcia David Courtin Jules Alao Nadine Fievet Jérémie Botton Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements BMJ Open |
| title | Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements |
| title_full | Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements |
| title_fullStr | Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements |
| title_full_unstemmed | Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements |
| title_short | Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements |
| title_sort | comparison of growth models to describe growth from birth to 6 years in a beninese cohort of children with repeated measurements |
| url | https://bmjopen.bmj.com/content/10/9/e035785.full |
| work_keys_str_mv | AT achillemassougbodji comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT michelcot comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT shukrullahahmadi comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT florencebodeaulivinec comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT romeozoumenou comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT andregarcia comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT davidcourtin comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT julesalao comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT nadinefievet comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements AT jeremiebotton comparisonofgrowthmodelstodescribegrowthfrombirthto6yearsinabeninesecohortofchildrenwithrepeatedmeasurements |