Evidence map›Paper›PMID 22477557›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2012

Introducing the at-risk average causal effect with application to HealthWise South Africa.

Donna L Coffman, Linda L Caldwell, Edward A Smith

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Investigating the potential causal relationship between parental knowledge and youth risky behavior: a propensity score analysis.Prevention science : the official journal of the Society for Prevention Research · 2014
    Article
  5. 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

3 authors.

Donna L CoffmanThe Methodology Center, The Pennsylvania State University, 204 E. Calder Way, Ste. 400, State College, PA 16801, USA. dlc30@psu.edu
Linda L Caldwell
Edward A Smith

Funding

THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI LANZA, STEPHANIE T · 1996 to 2014
$24.5M
HealthWise Dissemination: Translation to Multiple SchoolsR01DA029084 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI CALDWELL, LINDA LEE · 2010 to 2014
$2.6M
Marginal Causal Models for Observational Studies in Obesity ResearchR21DK082858 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI COFFMAN, DONNA · 2009 to 2010
$321k
Causal Inference for Mediation Models in Substance Abuse Prevention ResearchR03DA026543 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COFFMAN, DONNA LYNN · 2009 to 2010
$125k
NIDA NIH HHS P50 DA010075NIDA NIH HHS P50 DA100075NIDA NIH HHS R01 DA01749NIDA NIH HHS R01 DA029084NIDA NIH HHS R03 DA026543NIDDK NIH HHS 5R21 DK082858-02NIDDK NIH HHS R21 DK082858
6 · The paper itself

Abstract

Researchers often hypothesize that a causal variable, whether randomly assigned or not, has an effect on an outcome behavior and that this effect may vary across levels of initial risk of engaging in the outcome behavior. In this paper, we propose a method for quantifying initial risk status. We then illustrate the use of this risk-status variable as a moderator of the causal effect of leisure boredom, a non-randomized continuous variable, on cigarette smoking initiation. The data come from the HealthWise South Africa study. We define the causal effects using marginal structural models and estimate the causal effects using inverse propensity weights. Indeed, we found leisure boredom had a differential causal effect on smoking initiation across different risk statuses. The proposed method may be useful for prevention scientists evaluating causal effects that may vary across levels of initial risk.

Indexed as

CausalityAdolescentAdolescent BehaviorFemaleHealth PromotionHumansLogistic ModelsLongitudinal StudiesMaleRisk AssessmentSouth Africa

Identifiers

PMID22477557
PMCPMC3405190

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.