ArticlePloS one2014
Canonical correlation analysis of infant's size at birth and maternal factors: a study in rural northwest Bangladesh.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Article
- Canonical correlation-based relationships between social support and sleep quality in a hospital psychiatric outpatient population with examining the mediating roles of anxiety and depressive symptoms.Scientific reports · 2024Article
- The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis.Frontiers in public health · 2023Article
- Human-Wildlife Conflicts in Krakow City, Southern Poland.Animals : an open access journal from MDPI · 2020Article
- Women's empowerment is associated with maternal nutrition and low birth weight: evidence from Bangladesh Demographic Health Survey.BMC women's health · 2020Article
- Association Analysis of Peripheral and CSF Biomarkers in Late Mild Cognitive Impairment.Frontiers in genetics · 2020Article
- Transdiagnostic Dimensions towards Personality Pathology and Childhood Traumatic Experience in a Clinical Sample: Subtype Classification by a Cross-sectional Analysis.Scientific reports · 2019Observational
- Job-related burnout is associated with brain neurotransmitter levels in Chinese medical workers: a cross-sectional study.The Journal of international medical research · 2018Article
- Household Food Security and Birth Size of Infants: Analysis of the Bangladesh Demographic and Health Survey 2011.Current developments in nutrition · 2018Article
- Canonical correlation analysis (CCA) of anthropometric parameters and physical activities with blood lipids.Lipids in health and disease · 2017Article
- Article
- The pollutants from livestock and poultry farming in China-geographic distribution and drivers.Environmental science and pollution research international · 2016Article
- Statistical Glossaries and Biostatistical Aspects in Obstetrics and Gynecology.Journal of mid-life healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This analysis was conducted to explore the association between 5 birth size measurements (weight, length and head, chest and mid-upper arm [MUAC] circumferences) as dependent variables and 10 maternal factors as independent variables using canonical correlation analysis (CCA). CCA considers simultaneously sets of dependent and independent variables and, thus, generates a substantially reduced type 1 error. Data were from women delivering a singleton live birth (n = 14,506) while participating in a double-masked, cluster-randomized, placebo-controlled maternal vitamin A or β-carotene supplementation trial in rural Bangladesh. The first canonical correlation was 0.42 (P<0.001), demonstrating a moderate positive correlation mainly between the 5 birth size measurements and 5 maternal factors (preterm delivery, early pregnancy MUAC, infant sex, age and parity). A significant interaction between infant sex and preterm delivery on birth size was also revealed from the score plot. Thirteen percent of birth size variability was explained by the composite score of the maternal factors (Redundancy, RY/X = 0.131). Given an ability to accommodate numerous relationships and reduce complexities of multiple comparisons, CCA identified the 5 maternal variables able to predict birth size in this rural Bangladesh setting. CCA may offer an efficient, practical and inclusive approach to assessing the association between two sets of variables, addressing the innate complexity of interactions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.