Evidence map›Paper›PMID 29455746›Full record

ArticleSocial science research2018

Today's decisions, Tomorrow's outcomes: Does self-control explain the educational smoking gradient?

Christopher J Holmes

Abstract read
In one paragraph

Article in Social science research, 2018. 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. Article
  2. Article
  3. Article
  4. Review
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

1 author.

Christopher J HolmesDepartment of Sociology, University of Wisconsin - Madison, 8128 William H. Sewell Social Sciences Building, 1180 Observatory Drive, Madison, WI 53706-1393, USA. Electronic address: cjholmes2@wisc.edu.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
Diversity supplementT32HD007014 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 1985 to 2026
$6.8M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
NIA NIH HHS P30 AG017266NICHD NIH HHS P01 HD031921NICHD NIH HHS P2C HD047873NICHD NIH HHS R24 HD047873NICHD NIH HHS T32 HD007014
6 · The paper itself

Abstract

People with more education tend to have relatively healthy lifestyles. Among other things, they smoke less than those with less education. This link between education and smoking (known as the "educational gradient") is frequently interpreted as causal: many researchers argue that education develops skills, habits, and preferences that discourage smoking and other unhealthy behaviors. However, an alternative possibility is that these skills, habits, and preferences develop early in life and determine the likelihood of both attaining a high level of education and avoiding smoking. I test the latter possibility using data from the Longitudinal Study of Adolescent to Adult Health (Add Health). In particular, I assess the degree to which indicators of self-control in adolescence explain the association between educational attainment and smoking in adulthood. Results from a series of regression-based tests indicate that self-control is a significant predictor of both outcomes, even when controlling for a host of other risk factors. However, it does not appear to explain the educational gradient.

Identifiers

PMID29455746
PMCPMC5822746

What OpenQuestion holds

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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.