Evidence map›Paper›PMID 22904585›Full record

ArticlePopulation research and policy review2012

The Decline of Smoking among Female Birth Cohorts in China in the 20(th) Century: A Case of Arrested Diffusion?

Albert I Hermalin, Deborah S Lowry

Open access · greenAbstract read
In one paragraph

Article in Population research and policy review, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Diverging Trends and Expanding Educational Gaps in Smoking in China.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

2 authors at 2 institutions in 1 country.

Albert I HermalinUniversity of Michigan.
Deborah S Lowry
University of Michigan–Ann Arbor · USUniversity of Montevallo · US

Funding

TRAINING IN THE DEMOGRAPHY OF AGINGT32AG000221 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 1992 to 2026
$15.3M
Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMOCK, PAMELA J. · 2001 to 2016
$13.2M
Demographic Analysis on Determinants of Healthy Longevity in ChinaR01AG023627 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2004 to 2014
$3.9M
NIA NIH HHS R01 AG023627NIA NIH HHS T32 AG000221NICHD NIH HHS R24 HD041028
6 · The paper itself

Abstract

The smoking prevalence by age of women in China is distinct from most other countries in showing more frequent smoking among older women than younger. Using newly developed birth cohort histories of smoking, the authors demonstrate that although over one quarter of women born 1908-1912 smoked, levels of smoking declined across successive cohorts. This occurred despite high rates of smoking by men and the wide availability of cigarettes. The analysis shows how this pattern is counter to that predicted by the leading theoretical perspectives on the diffusion of smoking and suggests that it arose out of a mix of Confucian traditions relating to gender and the socio-economic and political events early in the 20(th) century which placed emerging women's identities in conflict with national identities. That a similar pattern of smoking is evident in Japan and Korea, two countries with strong cultural affinities to China, is used to buttress the argument.

Identifiers

PMID22904585
PMCPMC3419480
OpenAlexW2031148166

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.