Evidence map›Paper›PMID 35389368›Full record

ArticleJMIR formative research2022

Linking Individual-Level Facebook Posts With Psychological and Health Data in an Epidemiological Cohort: Feasibility Study.

Peter James, Claudia Trudel-Fitzgerald, Harold H Lee, Hayami K Koga, Laura D Kubzansky, Francine Grodstein

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Peter JamesDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2858-1973
Claudia Trudel-FitzgeraldDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID https://orcid.org/0000-0001-9989-4259
Harold H LeeDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID https://orcid.org/0000-0001-5778-3227
Hayami K KogaDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID https://orcid.org/0000-0002-9716-2502
Laura D KubzanskyDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID https://orcid.org/0000-0002-4039-2235
Francine GrodsteinDepartment of Internal Medicine, Rush Medical College, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-2699-7051
Harvard University · USRush University Medical Center · US

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
Optimism and Exceptional LongevityR01AG053273 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRODSTEIN, FRANCINE, KUBZANSKY, LAURA D · 2016 to 2019
$2.2M
High Resolution Measures of Behavioral Cancer Risk Factors From Mobile TechnologyR00CA201542 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI JAMES, PETER · 2017 to 2019
$747k
Characterizing the mechanisms behind the association between purpose in life and healthK99AG055696 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI KIM, ERIC · 2018 to 2019
$256k
NCI NIH HHS R00 CA201542NCI NIH HHS R01 CA067262NCI NIH HHS U01 CA176726NIA NIH HHS K99 AG055696NIA NIH HHS R01 AG053273
6 · The paper itself

Abstract

backgroundPsychological factors (eg, depression) and related biological and behavioral responses are associated with numerous physical health outcomes. Most research in this area relies on self-reported assessments of psychological factors, which are difficult to scale because they may be expensive and time-consuming. Investigators are increasingly interested in using social media as a novel and convenient platform for obtaining information rapidly in large populations.

objectiveWe evaluated the feasibility of obtaining Facebook data from a large ongoing cohort study of midlife and older women, which may be used to assess psychological functioning efficiently with low cost.

methodsThis study was conducted with participants in the Nurses' Health Study II (NHSII), which was initiated in 1989 with biennial follow-ups. Facebook does not share data readily; therefore, we developed procedures to enable women to download and transfer their Facebook data to cohort servers (for linkage with other study data they have provided). Since privacy is a critical concern when collecting individual-level data, we partnered with a third-party software developer, Digi.me, to enable participants to obtain their own Facebook data and to send it securely to our research team. In 2020, we invited a subset of the 18,519 NHSII participants (aged 56-73 years) via email to participate. Women were selected if they reported on the 2017-2018 questionnaire that they regularly posted on Facebook and were still active cohort participants. We included an exit survey for those who chose not to participate in order to gauge the reasons for nonparticipation.

resultsWe invited 309 women to participate. Few women signed the consent form (n=52), and only 3 used the Digi.me app to download and transfer their Facebook data. This low participation rate was observed despite modifying our protocol between waves of recruitment, including by (1) excluding active health care workers, who might be less available to participate due to the pandemic, (2) developing a Frequently Asked Questions factsheet to provide more information regarding the protocol, and (3) simplifying the instructions for using the Digi.me app. On our exit survey, the reasons most commonly reported for not participating were concerns regarding data privacy and hesitation sharing personal Facebook posts. The low participation rate suggests that obtaining individual-level Facebook data in a cohort of middle-aged and older women may be challenging.

conclusionsIn this cohort of midlife and older women who were actively participating for over three decades, we were largely unable to obtain permission to access individual-level data from participants' Facebook accounts. Despite working with a third-party developer to customize an app to implement safeguards for privacy, data privacy remained a key concern in these women. Future studies aiming to leverage individual-level social media data should explore alternate populations or means of sharing social media data.

Indexed as

cohortfeasibilitymiddle-aged and older adultspsychological factorsrecruitmentsocial mediawomen

Identifiers

PMID35389368
PMCPMC9030896
OpenAlexW4205628634

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.