ArticlemHealth2016
Information and communication technology use by female residents of public housing.
Article in mHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Social Media Use Among People Living with Chronic Pain: Cross-Sectional Study of Associated Factors.Journal of medical Internet research · 2026Article
- Photo-Enhanced Health Promotion Messages to Target Reduction in Dietary Sugar among Residents of Public Housing.Nutrients · 2023Article
- Feasibility of Utilizing Social Media to Promote HPV Self-Collected Sampling among Medically Underserved Women in a Rural Southern City in the United States (U.S.).International journal of environmental research and public health · 2021Article
- Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies.JMIR research protocols · 2017Article
- Social Media and Mobile Technology for Cancer Prevention and Treatment.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2017Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundEvidence suggests that Internet, mobile, or social media based-interventions may promote obesity-lowering behavior change, which has implications for cancer prevention and control interventions. However, the uptake of communication technologies among low socioeconomic status individuals, who need obesity management strategies most, is unclear.
methodsUsing the baseline data from a cluster-randomized behavioral intervention trial, we examined the cross-sectional associations of frequency of information and communication technologies (ICT) use among female public housing residents, as well as the variation of ICT use across demographic and health-related variables.
resultsICT use was common among female public housing residents, with mobile use for calls and texts most prevalent (97% and 84%, respectively). Internet, social media, and health information users tended to be younger compared to non-users. Email, Internet, multimodal, and health information users were more likely to be born in the U.S. and be more highly educated than non-users. Social media and health information users were more likely to be Spanish speakers and people of Hispanic ethnicity compared to non-users, although this was not statistically significant. There were few differences according to obesity or physical activity level.
conclusionsOur findings of differential socio-demographics between users
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.