Evidence map›Paper›PMID 38443867›Full record

ArticleBMC public health2024

Predictors of quitting support from nonsmoking mothers for smoking fathers: a cross-sectional study from Chinese pupils' families.

Nan Jiang, Ling-Ling Huo, Zeng-Zhi Zhang, Yi-Qing Huang, Yu-Hua Li, Rui Wang, Yi Guo, Fei Qi, Shan-Peng Li

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Nan JiangDepartment of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China.
Ling-Ling HuoQingdao West Coast New District Center for Disease Control and Prevention, Qingdao, Shandong, China.
Zeng-Zhi ZhangQingdao Shinan District Center for Disease Control and Prevention, Qingdao, Shandong, China.
Yi-Qing HuangQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Yu-Hua LiQingdao Shibei District Center for Disease Control and Prevention, Qingdao, Shandong, China.
Rui WangQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Yi GuoPeking University Clinical Research Institute, Peking University First Hospital, Beijing, China.
Fei QiQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China. qdqff@163.com.
Shan-Peng LiQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China. lshpeng@163.com.
Qingdao Municipal Center for Disease Control and Prevention · CNPeking University · CNQingdao University · CN

Funding

Shandong Federation of Social Sciences 2021-ZXJK-32
6 · The paper itself

Abstract

backgroundQuitting support from smokers' partners can predict quit attempts and smoking abstinence but research on factors that predict such support has been limited. To add more evidence for partner support and the improved interventions for smoking cessation, we analyzed some new potential predictors of quitting support from smokers' spouses.

methodThis cross-sectional study was conducted in in 2022 and 2023, selecting the students' families in which fathers smoked and mothers didn't smoke from grade 1-5 of 13 primary schools in Qingdao, China. Parents who met the criteria completed the online questionnaires and 1018 families were included in the analysis. We measured personal information related to smokers and their spouses such as age, education and nicotine dependence, and variables related to family and marital relationship such as family functioning, perceived responsiveness and power in decision-making of quitting smoking. Quitting support from smokers' spouses was measured by Partner Interaction Questionnaire and generalized linear model was used to explore the potential predictors of partner support.

resultsIn this study, the mean age of smokers was 39.97(SD = 5.57) and the mean age of smokers' spouses was 38.24(SD = 4.59). The regression analysis showed that for smokers and their spouses, the older age groups showed the lower ratio of positive/negative support(P < 0.05) and smokers with high education showed the less positive and negative partner support(P < 0.05). Nicotine dependence was positively associated with negative support (β = 0.120, P < 0.01), and perceived responsiveness (β = 0.124, P < 0.05) as well as family functioning (β = 0.059, P < 0.05) was positively associated with positive support. These three factors were associated with ratio of positive/negative support(P < 0.05). In addition, power of smoker's spouse in decision-making of quitting smoking was positively associated with the positive (β = 0.087, P < 0.001) and negative support (β = 0.084, P < 0.001).

conclusionsNicotine dependence, family functioning, power in decision-making of quitting smoking and perceived responsiveness were found to be the predictors of quitting support from smokers' spouses. By incorporating predictors of partner support and integrating some established theories that can improve family functioning and marital relationships, smoking cessation interventions can be further improved.

Indexed as

Tobacco Use DisorderAgedChinaCross-Sectional StudiesFathersHumansMaleSmokingFamily functioningPartner supportSingle-smoker couplesSmoking cessation

Identifiers

PMID38443867
PMCPMC10916209
OpenAlexW4392455402

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.