Evidence map›Paper›PMID 22729239›Full record

ArticleInternational journal of public health2013

Smoking behavior of Mexicans: patterns by birth-cohort, gender, and education.

Rebekka Christopoulou, Dean R Lillard, Josè R Balmori de la Miyar

Abstract read
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Article in International journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. The Greek smoking epidemic from a life-course perspective.Journal of public health (Oxford, England) · 2022
    Article
  3. The Association Between Spousal Education and Cognitive Ability Among Older Mexican Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020
    Article
  4. Article
  5. Article
  6. Article
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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.

Rebekka ChristopoulouDepartment of Policy Analysis and Management, Cornell University, Martha Van Rensselaer Hall, Ithaca, NY 14853, USA. rc448@cornell.edu
Dean R Lillard
Josè R Balmori de la Miyar

Funding

Cross-National Patterns and Predictors of Life-cycle Smoking BehaviorR01AG030379 · NIA · OHIO STATE UNIVERSITY · PI LILLARD, DEAN R · 2009 to 2013
$2.5M
NIA NIH HHS 1 R01 AG030379-01A2
6 · The paper itself

Abstract

objectivesLittle is known about historical smoking patterns in Mexico. Policy makers must rely on imprecise predictions of human or fiscal burdens from smoking-related diseases. In this paper we document intergenerational patterns of smoking, project them for future cohorts, and discuss those patterns in the context of Mexico's impressive economic growth.

methodsWe use retrospectively collected information to generate life-course smoking prevalence rates of five birth-cohorts, by gender and education. With dynamic panel data methods, we regress smoking rates on indicators of economic development.

resultsSmoking is most prevalent among men and the highly educated. Smoking rates peaked in the 1980s and have since decreased, slowly on average, and fastest among the highly educated. Development significantly contributed to this decline; a 1 % increase in development is associated with an average decline in smoking prevalence of 0.02 and 0.07 percentage points for women and men, respectively.

conclusionMexico's development may have triggered forces that decrease smoking, such as the spread of health information. Although smoking rates are falling, projections suggest that they will be persistently high for several future generations.

Indexed as

AdolescentAdultAge DistributionEducational StatusFemaleHumansMaleMexicoMiddle AgedRetrospective StudiesSex DistributionSex FactorsSmokingYoung Adult

Identifiers

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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.