This study assessed whether policies that limit Mexican immigrants' access to care affects their children's access to a regular source of care, health insurance, and timely preventive health visits. This was a cross-sectional study among Mexican immigrant parents who attended a health promotion program in Texas, Nevada, New York, and Illinois. A sociodemographic survey, including parental and child variables, was administered. Children of parents without health insurance were almost four times more likely to be uninsured and eight times more likely to lack a regular source of care. Children of parents without a regular source of care were less than half as likely to have their own regular source of care than children whose parents had a regular source of care. Findings suggest when parents are uninsured/lack a regular source of care, a child's health disparity is created. Reducing disparities in health care coverage, affecting foreign-born parents, positively impacts their children's access to care. Clinical Trial Registration number: NCT03209713.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665780PMC
http://dx.doi.org/10.1089/heq.2020.0111DOI Listing

Publication Analysis

Top Keywords

regular source
24
source care
24
children's access
12
children parents
12
care
10
mexican immigrant
8
immigrant parents
8
health care
8
access care
8
health insurance
8

Similar Publications

The Potential of an Artificially Ultraviolet B Irradiated Hay as a Source of Vitamin D.

J Anim Physiol Anim Nutr (Berl)

January 2025

Department of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.

Roughage can be a significant source of vitamin D in herbivore diets. The vitamin D content of forages can vary considerably and depends, among others, on plant species, plant maturity and climate fluctuations. Ultraviolet B (UVB) exposure causes conversion of provitamin D to vitamin D and thus represents the most important influence.

View Article and Find Full Text PDF

A feasibility study on cortisol and cortisone as biomarkers for psychological stress in wastewater-based epidemiology.

Water Res

December 2024

College of Environmental Science and Engineering, Dalian Maritime University, No. 1 Linghai Road, Dalian, , 116026, China. Electronic address:

Psychological stress has a significant impact on individuals' quality of life and health. Traditionally, psychological stress assessment relies on self-reported tools such as the Perceived Stress Scale (PSS), which are inherently subjective. This study aims to evaluate the feasibility of using wastewater-based epidemiology (WBE) to assess cortisol and cortisone as biomarkers for psychological stress.

View Article and Find Full Text PDF

Background: Regular epidemiological investigations are needed to investigate factors associated with low back injuries (LBIs) in National Collegiate Athletic Association (NCAA) sports and to inform injury prevention and rehabilitation.

Purpose: To describe the epidemiology of LBIs in NCAA sports.

Study Design: Descriptive epidemiology study.

View Article and Find Full Text PDF

Adaptive deep feature representation learning for cross-subject EEG decoding.

BMC Bioinformatics

December 2024

College of Computer and Information Engineering/College of Artificial Intelligence, Nanjing Tech University, Nanjing, 210093, China.

Background: The collection of substantial amounts of electroencephalogram (EEG) data is typically time-consuming and labor-intensive, which adversely impacts the development of decoding models with strong generalizability, particularly when the available data is limited. Utilizing sufficient EEG data from other subjects to aid in modeling the target subject presents a potential solution, commonly referred to as domain adaptation. Most current domain adaptation techniques for EEG decoding primarily focus on learning shared feature representations through domain alignment strategies.

View Article and Find Full Text PDF

Siamese comparative transformer-based network for unsupervised landmark detection.

PLoS One

December 2024

National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, China.

Landmark detection is a common task that benefits downstream computer vision tasks. Current landmark detection algorithms often train a sophisticated image pose encoder by reconstructing the source image to identify landmarks. Although a well-trained encoder can effectively capture landmark information through image reconstruction, it overlooks the semantic relationships between landmarks.

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!