Rice V H, Templin T, Fox D H, Jarosz P, Mullin M, Seiggreen M, Lepczyk M
Wayne State University College of Nursing, Detroit, Michigan 48202, USA.
Tob Control. 1996 Winter;5(4):280-5. doi: 10.1136/tc.5.4.280.
To examine positive and negative social support and other selected social context variables (age, education, marital status, gender, and exposure to other smokers inside and outside the home) as predictors of smoking cessation in non-hospitalised adults with diagnosed cardiovascular disease at follow up after one, six, and 12 months.
Discriminant function analyses (DFA) and longitudinal "lag" analyses.
137 Non-hospitalised adults with diagnosed cardiovascular health problems.
Examination of the concurrent DFAs revealed significant univariate F ratios for the predictor variables of gender and marital status at one year and low negative support at all three follow ups. Quitters reported significantly lower levels of negative support than non-quitters over the course of the year and tended to be male and married. Longitudinal "lag" analyses, however, revealed that higher positive social support at one month and higher negative support at six months were both predictive of smoking cessation at one year. At one year more men than women and more married than not married smokers were successful in quitting. No effects for age, education, or exposure to others smoking inside or outside the home were found on any of the concurrent DFAs or longitudinal analyses.
A series of concurrent DFAs revealed that positive support was a significant predictor of quitting at one year and negative support was predictive of not quitting at all three follow ups. Longitudinal "lag" analyses showed that positive support at one month and negative support at six months both predicted quitting at one year. Being male and married were found to contribute to quitting on both sets of analyses. The effects for positive and negative support on the smoking behaviour of adults with cardiovascular disease tended to change over the course of a year. These findings suggest that positive and negative social support may have differential effects over time. As the smoker moves along the "quitting trajectory" it may be that more "nagging" or negative interactions are needed at some point to get smokers to quit, if positive support has not worked or is not working. Progression of disease also may have served as a stimulus for family members and friends to become more insistent and negative about the person's continued smoking. More research is needed to examine the quitting process to determine which and how social context variables contribute.
研究积极和消极社会支持以及其他选定的社会环境变量(年龄、教育程度、婚姻状况、性别以及在家内外接触其他吸烟者的情况),以此作为诊断为心血管疾病的非住院成年人在1个月、6个月和12个月随访时戒烟的预测因素。
判别函数分析(DFA)和纵向“滞后”分析。
137名诊断患有心血管健康问题的非住院成年人。
对同期判别函数分析的检验显示,在1年时预测变量性别和婚姻状况的单变量F比率显著,且在所有三次随访中消极支持较低。在这一年中,戒烟者报告的消极支持水平显著低于未戒烟者,且倾向于男性且已婚。然而,纵向“滞后”分析显示,1个月时较高的积极社会支持和6个月时较高的消极支持均能预测1年时的戒烟情况。在1年时,成功戒烟的男性多于女性,已婚吸烟者多于未婚吸烟者。在任何同期判别函数分析或纵向分析中,均未发现年龄、教育程度或在家内外接触他人吸烟情况的影响。
一系列同期判别函数分析显示,积极支持是1年时戒烟的重要预测因素,消极支持则是所有三次随访中未戒烟的预测因素。纵向“滞后”分析表明,1个月时的积极支持和6个月时的消极支持均能预测1年时的戒烟情况。在两组分析中均发现男性和已婚有助于戒烟。积极和消极支持对心血管疾病成年人吸烟行为的影响在一年过程中往往会发生变化。这些发现表明,积极和消极社会支持可能随时间产生不同影响。随着吸烟者沿着“戒烟轨迹”前进,如果积极支持不起作用或效果不佳,可能在某个时候需要更多“唠叨”或消极互动来促使吸烟者戒烟。疾病进展也可能促使家庭成员和朋友对吸烟者继续吸烟变得更加坚持和消极。需要更多研究来考察戒烟过程,以确定社会环境变量哪些以及如何发挥作用。