Gender and sex differences in job status and hypertension.

Gender and sex differences in job status and hypertension.
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DOI:
10.1136/oem.2009.049908
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发表时间:
2011-01
影响因子:
4.9
通讯作者:
Cullen MR
Cullen MR
中科院分区:
医学2区
文献类型:
--
作者:
Clougherty JE;Eisen EA;Slade MD;Kawachi I;Cullen MR

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研究表明,与蓝领制造业就业相关的健康风险,女性比男性更大。然而,区分影响就业决定的文化性别因素仍然具有挑战性(例如,预期的工作角色,家庭责任)从性别相关的生物差异形成的生理反应,工作场所的身体危害。我们使用美国8个州14,618名白色和蓝领铝制造业员工的健康声明数据,研究了每小时(蓝领)状态对男性和女性高血压事件的影响。为了探索工作状态的性别差异,我们开发了性别分层倾向评分模型,确定了男性和女性小时状态的关键社会经济预测因素。为了检验小时工对高血压风险的影响,在调整了工作安置的性别差异后,我们应用了时间加权logistic回归模型,按倾向评分分层,并对社会经济混杂因素进行了额外的调整。家庭结构(伙伴关系,奇偶性)影响两性的工作状态;单身母亲更有可能举行小时工(OR = 2.02(95%CI = 1.37-2.97)),与孩子的合作伙伴的男性不太可能(OR = 0.68(0.56-0.83))。教育、就业年龄和种族影响男女的就业安置。小时工状态对高血压的影响仅在预测为小时工的女性中显著(OR = 1.78(1.34 - 2.35))。我们的研究结果表明,女性高血压的风险与小时状态相关,可能会因预测小时状态的社会人口因素而加剧(例如,单亲家庭,教育程度低)。有必要更多地关注工作地位、工作场所压力源以及与小时工相关的健康风险方面的性别差异。
Studies have shown greater health risks associated with blue-collar manufacturing employment for women than men. It remains challenging, however, to distinguish cultural gendered factors influencing employment decisions (e.g., expected work roles, family responsibilities) from sex-linked biological differences shaping physiological response to workplace physical hazards. We examined effects of hourly (blue-collar) status on incident hypertension among men and women, using health claims data for 14,618 white- and blue-collar aluminum manufacturing employees in eight U.S. states. To explore gender differences in job status, we developed sex-stratified propensity score models identifying key socioeconomic predictors of hourly status for men and women. To examine effects of hourly employment on hypertension risk, after adjusting for gender differences in job placement, we applied time-weighted logistic regression models, stratified by propensity score, with additional adjustment for socioeconomic confounders. Family structure (partnership, parity) influenced job status for both sexes; single mothers were more likely to hold hourly jobs (OR = 2.02 (95% CI = 1.37–2.97)), partnered men with children less likely (OR = 0.68 (0.56–0.83)). Education, age at hire, and race influenced job placement for both sexes. The effect of hourly status on hypertension was significant only among women predicted to be hourly (OR = 1.78 (1.34 – 2.35)). Our results indicate significant risks of hypertension associated with hourly status for women, possibly exacerbated by sociodemographic factors predicting hourly status (e.g., single parenthood, low education). Greater attention to gender differences in job status, workplace stressors, and health risks associated with hourly work, is warranted.
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