Do changes in objective and subjective family income predict change in children's diets over time? Unique insights using a longitudinal cohort study and fixed effects analysis.

J Epidemiol Community Health

Centre for Population Health Sciences & Centre for Research on Families and Relationships, University of Edinburgh, , Edinburgh, UK.

Published: June 2014

Background: While an association has been established between low income and poor diet using cross-sectional data, such analysis cannot account for confounding by unobserved characteristics correlated with income and diet, and changes in income and diet cannot be tracked over time. This paper, using longitudinal panel data, explores whether falls in objective and subjective family income predict deterioration in children's diets over time.

Methods: This paper uses panel data from the nationally representative birth cohort study Growing Up in Scotland. 3279 families have valid data on all dependent, independent and control variables for both time points. Dietary data were collected using maternal recall at sweeps 2 and 5 when the children were aged 22 and 58 months, respectively. Mothers reported on children's variety of consumption of vegetables, fruit and on the frequency of consumption of crisps, sweets and sugary drinks. The dietary variables were ordinal and were analysed using multivariate fixed effects ordinal logistic regression models.

Results: Controlling for time-varying confounders (children's food fussiness, maternal social class, maternal education, family composition, maternal employment) and for family and child time-invariant characteristics, moving from the highest to the lowest income band was linked to a smaller chance of increased fruit variety from 22 to 58 months (OR=0.42, 95% CI 0.21 to 0.82). Mothers who transitioned from 'living very comfortably' to 'finding it very difficult' to cope on current income had children who consumed fewer fruit varieties over time (OR=0.40, 95% CI 0.19 to 0.85), and who increased their frequency of consumption of crisps (OR=2.03, 95% CI 1.05 to 3.94) and sweets (OR=2.23, 95% CI 1.18 to 4.20).

Conclusions: The diets of young children in Scotland deteriorated between the ages of 2 and 5 years across the entire socioeconomic spectrum. Additionally, deterioration in subjective income predicted less healthy diets for children.

Download full-text PDF

Source
http://dx.doi.org/10.1136/jech-2013-203308DOI Listing

Publication Analysis

Top Keywords

objective subjective
8
subjective family
8
income
8
family income
8
income predict
8
children's diets
8
cohort study
8
fixed effects
8
income diet
8
panel data
8

Similar Publications

Revascularization of an Autotransplanted Mature Tooth After Extraoral Root Resection: A Case Report.

Case Rep Dent

January 2025

Institute of Dentistry and Oral Sciences, Faculty of Medicine, Palacky University, Olomouc, Czech Republic.

The outcome of tooth autotransplantation depends mainly on the transplant tooth's anatomy-the type of donor tooth and the developmental stage of root formation. Mature teeth display a higher complication rate due to lower pulp revascularization potential, requiring root canal treatment (RCT) pre- or postoperatively to avoid postoperative complications, which extends treatment duration and cost. This report details a 39-year-old patient's autotransplantation of a mature wisdom tooth to replace the first molar after unsuccessful root canal retreatment.

View Article and Find Full Text PDF

A novel machine learning based framework for developing composite digital biomarkers of disease progression.

Front Digit Health

January 2025

Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, United States.

Background: Current methods of measuring disease progression of neurodegenerative disorders, including Parkinson's disease (PD), largely rely on composite clinical rating scales, which are prone to subjective biases and lack the sensitivity to detect progression signals in a timely manner. Digital health technology (DHT)-derived measures offer potential solutions to provide objective, precise, and sensitive measures that address these limitations. However, the complexity of DHT datasets and the potential to derive numerous digital features that were not previously possible to measure pose challenges, including in selection of the most important digital features and construction of composite digital biomarkers.

View Article and Find Full Text PDF

Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

Front Neurosci

January 2025

Center of Excellence in Intelligent Engineering Systems (CEIES), Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia.

Introduction: Excessive alcohol consumption negatively impacts physical and psychiatric health, lifestyle, and societal interactions. Chronic alcohol abuse alters brain structure, leading to alcohol use disorder (AUD), a condition requiring early diagnosis for effective management. Current diagnostic methods, primarily reliant on subjective questionnaires, could benefit from objective measures.

View Article and Find Full Text PDF

New taxa of butterflies supported by genomic analysis.

Taxon Rep Int Lepid Surv

November 2024

Department of Biophysics, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9050, USA.

Continuing with the genomic analysis of butterflies, we present a taxonomic update. As a result of this work, 3 genera, 6 subgenera, 16 species, and 2 subspecies are described as new. New genera and subgenera are (type species in parenthesis): Grishin, ( W.

View Article and Find Full Text PDF

Background: Pain management in pediatric patients during dental procedures is very important. Here, the traditional method of behavior management is compared with novel methods.

Aim: To compare and determine the effectiveness of an external cooling and vibrating device vs counterstimulation with the conventional technique in reducing the fear and discomfort of pediatric dental patients aged 5-7 years during inferior alveolar nerve block (IANB).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!