Technology use and interest among low-income parents of young children: differences by age group and ethnicity

J Nutr Educ Behav. 2014 Nov-Dec;46(6):484-90. doi: 10.1016/j.jneb.2014.06.004. Epub 2014 Jul 23.

Abstract

Objective: To examine demographic differences in frequency of use of technologies and interest in receiving nutrition information via technology by low-income parents and caregivers.

Design: Descriptive, cross-sectional study.

Setting: Head Start and state-funded child care programs.

Participants: A total of 806 parents and caregivers from low-income families.

Variables measured: A 20-item survey assessed frequency of use and interest in technologies (dependent variables) and collected participant age and ethnicity (independent variables).

Analysis: Multivariate ANOVA analysis investigated whether age, ethnicity, and their interactions were related to frequency of use and interest in technology types.

Results: Daily rates of usage for Internet, text messaging, and cell phone use were over 60%. However, Twitter and blogs were accessed daily by < 13% of respondents. The omnibus 2-way interaction of ethnicity and age was nonsignificant. However, main effects for ethnicity (Wilks' λ = .85; F = 3.13; P < .001) and age (Wilks' λ = .89; F = 2.29; P < .001) were observed.

Conclusions and implications: Facebook, e-mail, texting, and smartphone applications may be innovative modalities to engage with low-income parents and caregivers aged ≤ 45. However, some strategies may be ineffective for reaching Hispanic families as they reported less use of the Internet, Facebook, and e-mail as well as less interest in e-mail.

Keywords: child nutrition sciences; electronic e-mail; low-income population; social media; technology.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Arkansas
  • Caregivers / education
  • Child Nutrition Sciences / education*
  • Child, Preschool
  • Cross-Sectional Studies
  • Early Intervention, Educational
  • Electronic Mail / statistics & numerical data
  • Female
  • Health Knowledge, Attitudes, Practice* / ethnology
  • Humans
  • Information Seeking Behavior*
  • Internet / statistics & numerical data*
  • Male
  • Nutrition Surveys
  • Parents / education
  • Patient Education as Topic / methods*
  • Poverty
  • Social Media / statistics & numerical data
  • Telecommunications / statistics & numerical data*
  • Text Messaging / statistics & numerical data