Family functioning and nicotine dependence among smoking fathers: a cross-sectional study
Background Nicotine dependence is a significant public health issue, and understanding the factors associated with nicotine dependence in this population is crucial for developing effective interventions. This study examined the association between family functioning and nicotine dependence levels of smoking fathers based on the McMaster model of family functioning (MMFF), providing evidence for future interventions. Methods In this study, we selected fathers of first- to fifth-grade students from 10 pilot elementary schools in Qingdao whose families smoked. We used the Fagerstrom test to assess nicotine dependence and the Family Assessment Device to evaluate family functioning. We performed univariate analysis to compare differences among those with different levels of nicotine dependence, and we used an ordinal logistic regression analysis to investigate the influences related to nicotine dependence. Results This study included 874 smokers, with 78.5% having mild nicotine dependence, 11.7% having moderate dependence, and 9.84% having severe dependence. Univariate analysis showed that smokers with severe dependence had lower education levels, higher prevalence of chronic diseases, more frequent alcohol consumption, and poorer family functioning compared to those with mild to moderate dependence. Ordinal logistic regression analysis showed that poorer general functioning scores (OR = 1.087, 95% CI: 1.008–1.173, P = 0.030), poorer behavioral control (OR = 1.124, 95% CI: 1.026–1.232, P = 0.012), more quit attempts, frequent alcohol consumption, and longer smoking duration may be associated with a higher likelihood of developing severe nicotine dependence. The older age of starting smoking and higher education level may be associated with a lower likelihood of developing severe nicotine dependence. However, it is important to note that the cross-sectional nature of this study precludes the determination of causal relationships. Conclusions This study finds that heavy nicotine dependence in smoking fathers is associated with risky behaviors and demographics such as longer smoking duration and frequent alcohol consumption. Targeted smoking cessation interventions are crucial for this group, taking these specific factors into consideration. Family functioning, particularly general functioning and behavioral control, may also be linked to nicotine dependence, indicating the need for further research in this area..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
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| Enthalten in: |
BMC public health - 23(2023), 1 vom: 06. Apr. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Guo, Yi [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
Family Functioning |
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| Anmerkungen: |
© The Author(s) 2023 |
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| doi: |
10.1186/s12889-023-15475-4 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
SPR049970925 |
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| 520 | |a Background Nicotine dependence is a significant public health issue, and understanding the factors associated with nicotine dependence in this population is crucial for developing effective interventions. This study examined the association between family functioning and nicotine dependence levels of smoking fathers based on the McMaster model of family functioning (MMFF), providing evidence for future interventions. Methods In this study, we selected fathers of first- to fifth-grade students from 10 pilot elementary schools in Qingdao whose families smoked. We used the Fagerstrom test to assess nicotine dependence and the Family Assessment Device to evaluate family functioning. We performed univariate analysis to compare differences among those with different levels of nicotine dependence, and we used an ordinal logistic regression analysis to investigate the influences related to nicotine dependence. Results This study included 874 smokers, with 78.5% having mild nicotine dependence, 11.7% having moderate dependence, and 9.84% having severe dependence. Univariate analysis showed that smokers with severe dependence had lower education levels, higher prevalence of chronic diseases, more frequent alcohol consumption, and poorer family functioning compared to those with mild to moderate dependence. Ordinal logistic regression analysis showed that poorer general functioning scores (OR = 1.087, 95% CI: 1.008–1.173, P = 0.030), poorer behavioral control (OR = 1.124, 95% CI: 1.026–1.232, P = 0.012), more quit attempts, frequent alcohol consumption, and longer smoking duration may be associated with a higher likelihood of developing severe nicotine dependence. The older age of starting smoking and higher education level may be associated with a lower likelihood of developing severe nicotine dependence. However, it is important to note that the cross-sectional nature of this study precludes the determination of causal relationships. Conclusions This study finds that heavy nicotine dependence in smoking fathers is associated with risky behaviors and demographics such as longer smoking duration and frequent alcohol consumption. Targeted smoking cessation interventions are crucial for this group, taking these specific factors into consideration. Family functioning, particularly general functioning and behavioral control, may also be linked to nicotine dependence, indicating the need for further research in this area. | ||
| 650 | 4 | |a Nicotine dependence |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Family Functioning |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Smoking fathers |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mcmaster model |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Smoking cessation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Liu, Di-yue |4 aut | |
| 700 | 1 | |a Wang, Yu-jia |4 aut | |
| 700 | 1 | |a Huang, Meng-jie |4 aut | |
| 700 | 1 | |a Jiang, Nan |4 aut | |
| 700 | 1 | |a Hou, Qiang |4 aut | |
| 700 | 1 | |a Feng, Bojunhao |4 aut | |
| 700 | 1 | |a Wu, Wen-yu |4 aut | |
| 700 | 1 | |a Wu, Yi-bo |4 aut | |
| 700 | 1 | |a Qi, Fei |4 aut | |
| 700 | 1 | |a Sun, Xin-ying |4 aut | |
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