## 3 Results
### Statistical Analysis
However, the impact of smoking on relationships (\(\rho=-0.15043\), \(p=0.1352\)), family conflicts (\(\chi^{2}=5.15\), \(p=0.27194\)), family support (coefficients: \(1.37\), \(-0.18\), \(p=0.0583\), \(p=0.3000\)), and family acceptance (\(\rho=-0.088\) to \(-0.076\), \(p\)-values ranging from \(0.334\) to \(0.467\)) did not show statistically significant relationships with smoking behaviors. In Table 3, we present the influence factors on smoking behavior analysis. The results in Table 3 demonstrate the diverse influences of socio-demographic, behavioral, and familial factors on smoking behaviors. For example, the analysis of variance \begin{table}
\begin{tabular}{p{113.8 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline \hline
**Variables** & **Test** & **Results** & \(p\)**-Value** & **Interpretation** \\ \hline Participant age and type of smoking product & ANOVA & F = 8.79 & \(p<0.001\) & Significant differences in smoking products among age groups \\ \hline Education level and type of smoking product & Chi-Square & \(\chi^{2}=6.41\) & 0.601 & No significant association \\ Gender and type of smoking product & Chi-Square & \(\chi^{2}=10.63\) & 0.031 & Significant differences between genders in smoking products used \\ \hline Participant age and age of smoking initiation & Spearman Correlation & \(\rho=0.23\) & 0.024 & Older participants started smoking at later ages \\ \hline Place of residence and type of smoking product & Chi-Square & \(\chi^{2}=7.02\) & 0.534 & No significant association \\ \hline Family history of smoking and type of smoking product & Chi-Square & \(\chi^{2}=2.00\) & 0.368 & No significant association \\ \hline Perceived impact of smoking on relationships and number of cigarettes smoked & Spearman Correlation & \(\rho=-0.15\) & 0.135 & Weak negative correlation, not statistically significant \\ \hline Smoking frequency and willingness to quit & Spearman Correlation & \(\rho=-0.07\) & 0.485 & Very weak negative correlation, not significant \\ \hline Time to first cigarette after waking and willingness to quit & Spearman Correlation & \(\rho=-0.31\) & 0.002 & Moderate negative correlation, statistically significant \\ \hline Family conflict score and willingness to quit & Chi-Square & \(\chi^{2}=5.15\) & 0.272 & No significant association \\ \hline Family support score and willingness to quit & Logistic Regression & Coefficients: \(1.37\), \(-0.18\) & \(p=0.058\), \(p=0.300\) & Trend toward significance, but not significant \\ \hline Family tension score and number of cigarettes smoked per day & Spearman Correlation & \(\rho=0.22\)–\(0.34\) & 0.029–\(0.001\) & Significant positive correlation \\ \hline Family acceptance score and smoking frequency & Spearman Correlation & \(\rho=-0.09\) to \(-0.08\) & 0.334–\(0.467\) & No significant correlation \\ \hline Quit attempts and urge to smoke & Chi-Square & \(\chi^{2}=5.15\) & 0.272 & No significant correlation \\ \hline Noturmal smoking behavior and smoking frequency & Chi-Square & \(\chi^{2}=14.25\) & 0.014 & Significant association \\ \hline Current e-cigarette use and prior traditional cigarette use & Chi-Square & \(\chi^{2}=8.30\) & \(p=0.00396\) & Statistically significant association between variables \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Analysis of factors influencing smoking behaviors and family dynamics. (ANOVA) revealed significant differences in smoking product preferences across different age groups (F = 8.787, \(p\) = 0.0003), suggesting that age influences the type of smoking products individuals use. This may reflect generational trends, with younger participants possibly favoring e-cigarettes due to cultural perceptions or accessibility. Conversely, older individuals may be more inclined to use traditional tobacco products. In contrast, education level was not significantly associated with the type of smoking product used (\(\chi^{2}\) = 6.41, \(p\) = 0.6011), indicating that smoking habits in this sample appear to transcend educational boundaries.