González-Chica David Alejandro, Adams Robert, Dal Grande Eleonora, Avery Jodie, Hay Phillipa, Stocks Nigel
Discipline of General Practice, School of Medicine, NHMRC Centre of Research Excellence to Reduce Inequality in Heart Disease, The University of Adelaide, 178 North Terrace, Level 11, MDP DX 650 550, Adelaide, SA, 5005, Australia.
The Health Observatory, Discipline of Medicine, The University of Adelaide, The Queen Elizabeth Hospital Campus, Woodville, SA, Australia.
Qual Life Res. 2017 Jun;26(6):1521-1530. doi: 10.1007/s11136-017-1503-y. Epub 2017 Feb 11.
To investigate if sociodemographic characteristics increase the adverse effects of cardiovascular diseases (CVD) and cardiometabolic risk factors (CMRF) on health-related quality of life (HRQoL).
Cross-sectional, face-to-face survey investigating 2379 adults living in South Australia in 2015 (57.1 ± 14 years; 51.7% females). Questions included diagnosis of CMRF (obesity, diabetes, hypertension, dyslipidaemia) and CVD. Physical and mental HRQoL were assessed using the SF-12v1 questionnaire. Multiple linear regression models including confounders (sociodemographic, lifestyle, use of preventive medication) and interaction terms between sociodemographic variables and cardiometabolic conditions were used in adjusted analysis.
The prevalence of CMRF (one or more) was 54.6% and CVD was 13.0%. The physical HRQoL reduced from 50.8 (95%CI 50.2-51.4) in healthy individuals to 45.1 (95%CI 44.4-45.9) and 39.1 (95%CI 37.7-40.5) among those with CMRF and CVD, respectively. Adjustment for sociodemographic variables reduced these differences in 33%, remaining stable after controlling for lifestyle and use of preventive medications (p < 0.001). Differences in physical HRQoL according to cardiometabolic conditions were twice as high among those with lower educational level, or if they were not working. Among unemployed, having a CMRF or a CVD had the same impact on the physical HRQoL (9.7 lower score than healthy individuals). The inverse association between cardiometabolic conditions and mental HRQoL was subtle (p = 0.030), with no evidence of disparities due to sociodemographic variables.
A lower educational level and unemployment increase the adverse effects of cardiometabolic conditions on the physical HRQoL. Targeted interventions for reducing CMRF and/or CVD in these groups are necessary to improve HRQoL.
研究社会人口学特征是否会增加心血管疾病(CVD)和心血管代谢危险因素(CMRF)对健康相关生活质量(HRQoL)的不良影响。
2015年对居住在南澳大利亚的2379名成年人进行横断面面对面调查(年龄57.1±14岁;女性占51.7%)。问题包括CMRF(肥胖、糖尿病、高血压、血脂异常)和CVD的诊断。使用SF-12v1问卷评估身体和心理HRQoL。在调整分析中使用了包括混杂因素(社会人口学、生活方式、预防性药物使用)以及社会人口学变量与心血管代谢状况之间的交互项的多元线性回归模型。
CMRF(一种或多种)的患病率为54.6%,CVD的患病率为13.0%。身体HRQoL从健康个体的50.8(95%CI 50.2 - 51.4)分别降至患有CMRF和CVD者的45.1(95%CI 44.4 - 45.9)和39.1(95%CI 37.7 - 40.5)。对社会人口学变量进行调整后,这些差异减少了33%,在控制生活方式和预防性药物使用后保持稳定(p < 0.001)。在教育水平较低或未就业者中,根据心血管代谢状况的身体HRQoL差异是前者的两倍。在失业者中,患有CMRF或CVD对身体HRQoL的影响相同(得分比健康个体低9.7)。心血管代谢状况与心理HRQoL之间的负相关关系不明显(p = 0.030),没有证据表明存在因社会人口学变量导致的差异。
较低的教育水平和失业会增加心血管代谢状况对身体HRQoL的不良影响。有必要针对这些群体采取有针对性的干预措施以降低CMRF和/或CVD,从而改善HRQoL。