Analysis of heterogeneous growth changes in longitudinal height of children
Abstract Background There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time. Using growth mixture modeling approaches, we aimed to in...
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| Format: | Article |
| Language: | English |
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BMC
2023-08-01
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| Series: | Journal of Health, Population and Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41043-023-00425-y |
| _version_ | 1827710402266398720 |
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| author | Senahara Korsa Wake Temesgen Zewotir Essey Kebede Muluneh |
| author_facet | Senahara Korsa Wake Temesgen Zewotir Essey Kebede Muluneh |
| author_sort | Senahara Korsa Wake |
| collection | DOAJ |
| description | Abstract Background There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time. Using growth mixture modeling approaches, we aimed to investigate group-level heterogeneities in the growth trajectories of children aged 1 to 15 years. Method This longitudinal study examined group-level growth heterogeneities in a sample of 3401 males and 3200 females. Data were analyzed using growth mixture modeling approaches. Results We examined different trajectories of growth change in children across four low- and middle-income countries using a data-driven growth mixture modeling technique. The study identified two-group trajectories: the most male samples group (n = 4260, 69.7%) and the most female samples group (n = 2341, 81.6%). The findings show that the two groups had different growth trajectories. Gender and country differences were shown to be related to growth factors; however, the association varied depending on the trajectory group. In both latent groups, females tended to have lower growth factors (initial height and rate of growth) than their male counterparts. Compared with children from Ethiopia, children from Peru and Vietnam tended to exhibit faster growth in height over time: In contrast, children from India showed a lower rate of change in both latent groups than that of children from Ethiopia. Conclusions The height of children in four low- and middle-income countries showed heterogeneous changes over time with two different groups of growth trajectories. |
| first_indexed | 2024-03-10T17:37:28Z |
| format | Article |
| id | doaj.art-59378b77259541108bd72d96e1db9d40 |
| institution | Directory Open Access Journal |
| issn | 2072-1315 |
| language | English |
| last_indexed | 2024-03-10T17:37:28Z |
| publishDate | 2023-08-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Health, Population and Nutrition |
| spelling | doaj.art-59378b77259541108bd72d96e1db9d402023-11-20T09:48:29ZengBMCJournal of Health, Population and Nutrition2072-13152023-08-0142111210.1186/s41043-023-00425-yAnalysis of heterogeneous growth changes in longitudinal height of childrenSenahara Korsa Wake0Temesgen Zewotir1Essey Kebede Muluneh2College of Science, Bahir Dar UniversitySchool of Mathematics, Statistics and Computer Science, University of KwaZulu-NatalSchool of Public Health, Bahir Dar UniversityAbstract Background There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time. Using growth mixture modeling approaches, we aimed to investigate group-level heterogeneities in the growth trajectories of children aged 1 to 15 years. Method This longitudinal study examined group-level growth heterogeneities in a sample of 3401 males and 3200 females. Data were analyzed using growth mixture modeling approaches. Results We examined different trajectories of growth change in children across four low- and middle-income countries using a data-driven growth mixture modeling technique. The study identified two-group trajectories: the most male samples group (n = 4260, 69.7%) and the most female samples group (n = 2341, 81.6%). The findings show that the two groups had different growth trajectories. Gender and country differences were shown to be related to growth factors; however, the association varied depending on the trajectory group. In both latent groups, females tended to have lower growth factors (initial height and rate of growth) than their male counterparts. Compared with children from Ethiopia, children from Peru and Vietnam tended to exhibit faster growth in height over time: In contrast, children from India showed a lower rate of change in both latent groups than that of children from Ethiopia. Conclusions The height of children in four low- and middle-income countries showed heterogeneous changes over time with two different groups of growth trajectories.https://doi.org/10.1186/s41043-023-00425-yLatent class growth modelLatent basis modelLatent growth analysisMultiple-group growth modelObserved heterogeneityUnobserved heterogeneity |
| spellingShingle | Senahara Korsa Wake Temesgen Zewotir Essey Kebede Muluneh Analysis of heterogeneous growth changes in longitudinal height of children Journal of Health, Population and Nutrition Latent class growth model Latent basis model Latent growth analysis Multiple-group growth model Observed heterogeneity Unobserved heterogeneity |
| title | Analysis of heterogeneous growth changes in longitudinal height of children |
| title_full | Analysis of heterogeneous growth changes in longitudinal height of children |
| title_fullStr | Analysis of heterogeneous growth changes in longitudinal height of children |
| title_full_unstemmed | Analysis of heterogeneous growth changes in longitudinal height of children |
| title_short | Analysis of heterogeneous growth changes in longitudinal height of children |
| title_sort | analysis of heterogeneous growth changes in longitudinal height of children |
| topic | Latent class growth model Latent basis model Latent growth analysis Multiple-group growth model Observed heterogeneity Unobserved heterogeneity |
| url | https://doi.org/10.1186/s41043-023-00425-y |
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