Evidence map›Paper›PMID 38435742›Full record

ArticleSocius : sociological research for a dynamic world

Communication with Kin in the Wake of the COVID-19 Pandemic.

Megan N Reed, Linda Li, Luca Maria Pesando, Lauren E Harris, Frank F Furstenberg, Julien O Teitler

Abstract read
In one paragraph

Article in Socius : sociological research for a dynamic world. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Family typology among Mexican families after the COVID-19 pandemic.Journal of family medicine and primary care · 2026
    Article
  2. Introducing theJournal of marriage and the family · 2026
    Article
  3. Article
  4. Kinship and Care: Racial Disparities in Potential Dementia Caregiving in the United States From 2000 to 2060.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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.

Megan N ReedEmory University.
Linda LiColumbia University.
Luca Maria PesandoNew York University Abu Dhabi.
Lauren E HarrisUniversity of New Hampshire.
Frank F FurstenbergUniversity of Pennsylvania.
Julien O TeitlerColumbia University.

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
NICHD NIH HHS P2C HD044964NICHD NIH HHS T32 HD007242
6 · The paper itself

Abstract

This study investigates patterns of communication among non-coresident kin in the aftermath of the COVID-19 pandemic using data from the New York City Robin Hood Poverty Tracker. Over half of New Yorkers spoke to their non-coresident family members several times a week during the pandemic and nearly half increased their communication with non-coresident kin since March 2020. Siblings and extended kin proved to be especially important ties activated during the pandemic. New Yorkers were most likely to report increased communication with siblings. A quarter of respondents reported that they increased communication with at least one aunt, uncle, cousin, or other extended family member. While non-Hispanic White respondents reported the highest frequency of communication with kin, it was those groups most impacted by COVID-19 - foreign-born, Black, and Hispanic New Yorkers - who were most likely to report that they increased communication with kin in the wake of the pandemic.

Indexed as

COVID-19family communicationkinshipties

Identifiers

PMID38435742
PMCPMC10906743

What OpenQuestion holds

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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.