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事实与价值观:立法者为何投票反对伤害控制法。

Facts versus values: why legislators vote against injury control laws.

作者信息

Lowenstein S R, Koziol-McLain J, Satterfield G, Orleans M

机构信息

Colorado Emergency Medicine Research Center, University of Colorado Health Sciences Center, Denver 80262.

出版信息

J Trauma. 1993 Nov;35(5):786-92; discussion 792-3.

PMID:8230347
Abstract

BACKGROUND

Control of motor vehicle-related injuries depends upon passage of mandatory safety belt and other injury control laws. Unfortunately, state legislators often oppose these laws.

METHODS

In 1988, a 62-item questionnaire was mailed to the 97 Colorado legislators who voted on a 1987 safety belt law to identify factors (knowledge, experiences, attitudes, and beliefs) associated with "yes" and "no" votes. To test for associations between these attributes and the legislators' recorded votes, odds ratios (OR) and 95% confidence intervals (CIs) were calculated. A stepwise logistic regression identified independent predictors of "vote."

RESULTS

Fifty-three (55%) of the legislators responded. Responders and nonresponders were demographically similar. "Vote" was not associated with age; sex; having young children in the family; perceived injury risk; recent traffic tickets; family or personal crash experience; or knowledge of the fatality risk reductions attributable to wearing safety belts. Ninety-six percent of the legislators knew that safety belts reduce the risk of death and 87% believed a safety belt law would save lives. The strongest predictors of a "yes" vote were impression that constituents favored the law (OR = 31, CI 95 = 3.5, 270); belief that a mandatory safety belt law will save lives (OR = 20, CI 95 = 2.1, 203); and "extreme" importance paid in the voting decision to effectiveness of the law in reducing deaths (OR = 19, CI 95 = 3.5, 107). Legislators who considered restrictions on individual freedoms an "extremely" important decision criterion were 43 times (CI 95 = 7, 267) more likely to vote "no." In the logistic model only extreme importance assigned to individual freedoms (beta = 3.7; OR = .025; p = 0.002) and policy effectiveness (beta = +3.1; OR = 22; p = 0.01) predicted "vote." The logistic model correctly predicted 90% of legislators' votes.

CONCLUSIONS

In this study the strongest predictors of voting behavior were concern for individual freedoms, perceived constituents' support and attention paid to policy effectiveness. Those seeking to persuade legislators to vote for mandatory safety belt laws must pay attention to attitudes and values in addition to scientific facts.

摘要

背景

机动车相关伤害的控制取决于强制性安全带及其他伤害控制法律的通过。不幸的是,州立法者常常反对这些法律。

方法

1988年,一份包含62个条目的问卷被邮寄给了97位对1987年安全带法律进行投票的科罗拉多州立法者,以确定与“赞成”和“反对”投票相关的因素(知识、经历、态度和信念)。为了检验这些属性与立法者记录的投票之间的关联,计算了比值比(OR)和95%置信区间(CI)。逐步逻辑回归确定了“投票”的独立预测因素。

结果

53位(55%)立法者进行了回复。回复者和未回复者在人口统计学特征上相似。“投票”与年龄、性别、家中有年幼子女、感知到的伤害风险、近期交通罚单、家庭或个人车祸经历,或对佩戴安全带可降低死亡风险的了解无关。96%的立法者知道安全带能降低死亡风险,87%的人认为安全带法律能挽救生命。“赞成”投票的最强预测因素是认为选民支持该法律(OR = 31,95%CI = 3.5,270);相信强制性安全带法律能挽救生命(OR = 20,95%CI = 2.1,203);以及在投票决定中对法律在减少死亡方面的有效性给予“极大”重视(OR = 19,95%CI = 3.5,107)。将对个人自由的限制视为“极其”重要的决策标准的立法者投票“反对”的可能性高出43倍(95%CI = 7,267)。在逻辑模型中,只有对个人自由的极端重视(β = 3.7;OR = 0.025;p = 0.002)和政策有效性(β = +3.1;OR = 22;p = 0.01)能预测“投票”。逻辑模型正确预测了90%的立法者投票。

结论

在本研究中,投票行为的最强预测因素是对个人自由的关注、感知到的选民支持以及对政策有效性的重视。那些试图说服立法者投票支持强制性安全带法律的人,除了科学事实外,还必须关注态度和价值观。

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