Aim: This work aimed to study the influence of two chronic health conditions, metabolic syndrome (MetS) and musculoskeletal disorders (MSDs), on the health-related quality of life (HRQoL) of Saudis. Method: The Medica...Aim: This work aimed to study the influence of two chronic health conditions, metabolic syndrome (MetS) and musculoskeletal disorders (MSDs), on the health-related quality of life (HRQoL) of Saudis. Method: The Medical Outcomes Study Short Form-36 (SF-36) health status questionnaire was used to measure the HRQoL and compare the mean scores of the questionnaire subscales and physical and mental component summaries (PCS and MCS) of 33 patients with MetS, 18 patients with MSDs, and 30 apparently healthy (AH) subjects. Regression analysis was used to measure the prediction power of the study group, age and gender of the participants in estimating the HRQoL. Results: Results showed that the mean scores of the physical subscales, the PCS, the mental subscales and MCS were arranged in descending order from AH subjects, patients with MetS, to patients with MSDs. The mean scores difference among the 3 study groups were statistically significant with the only exception for the general mental health (GMH) subscale (P = 0.404). The study group and age accounted for 41.8% of the variability of PCS while the study group accounted for 19.6% of the variability in the MCS. The resulted equation to estimate the PCS score was as follows: PCS = 113.18 - 12.85 (Group: 0 for AH, 1 for MetS, and 2 for MSDs) - 0.67 age. On the other hand the resulted equation to estimate the MCS score was as follows: MCS = 76.203 - 10.426 (Group: 0 for AH, 1 for MetS, and 2 for MSDs). Conclusion: Patients with MetS and patients with MSDs had lower HRQoL than AH subjects. All the physical and mental dimensions of HRQoL are negatively influenced with MetS and with MSDs with the only exception for the GMH subscale. The physical and mental burden of MSDs is more dominant. The study group and age can be used to predict the PCS while the study group can be used to predict the MCS.展开更多
目的调查肝硬化患者肝移植前后生存质量的变化情况。方法研究对象为在中山大学附属第三医院移植中心行首次肝移植手术的68例肝硬化患者。分别在术前,术后0～6个月、7～12个月、12个月以上对患者进行问卷调查。问卷采用健康调查简表(medi...目的调查肝硬化患者肝移植前后生存质量的变化情况。方法研究对象为在中山大学附属第三医院移植中心行首次肝移植手术的68例肝硬化患者。分别在术前,术后0～6个月、7～12个月、12个月以上对患者进行问卷调查。问卷采用健康调查简表(medical outcome study 36-item short form health survey,SF-36)与疾病专用调查表——慢性肝病问卷(chronic liver disease questionaire,CLDQ)。结果在肝移植术前,肝硬化患者的SF-36和CLDQ各维度评分均偏低。术后各时段SF-36的生理机能、躯体疼痛、一般健康、精力和CLDQ的腹部症状、乏力、全身症状、活动评分均较术前明显升高(均为P<0.05);与术前比较,术后0～6个月SF-36的生理职能、社会功能、情感职能、精神健康和CLDQ的情感功能、焦虑评分差异无统计学意义(均为P>0.05),但术后7～12个月、术后12个月以上述维度评分比较差异均有统计学意义(均为P<0.05);术后随着时间的推移,两表各维度得分逐步升高。结论肝硬化肝移植患者术后的生存质量与术前比较有明显改善,术后早期以生理功能方面改善明显,随时间的推移,生存质量其他指标如心理状态和社会功能也得到明显的改善。展开更多
目的了解京冀两地人群的饮酒模式现状,探究不同饮酒模式的特征及其生命质量的得分差异。方法选取“正常人群不同体质中医脉诊生理参数系统调查”数据库中符合条件的数据,依据日均纯酒精摄入量划分饮酒模式,通过简明健康状况调查问卷(med...目的了解京冀两地人群的饮酒模式现状,探究不同饮酒模式的特征及其生命质量的得分差异。方法选取“正常人群不同体质中医脉诊生理参数系统调查”数据库中符合条件的数据,依据日均纯酒精摄入量划分饮酒模式,通过简明健康状况调查问卷(medical outcomes study 36-item short-form health survey,SF-36)获得生命质量得分,采用最小二乘回归分析不同饮酒模式的生命质量得分差异。结果纳入样本1994例,其中男性654例,女性1340例;年龄为31.7(22.0,37.0)岁。不饮酒模式、前饮酒模式、适度饮酒模式、中度饮酒模式、重度饮酒模式分别有1375人、74人、368人、90人、87人。5种饮酒模式比较,性别、年龄、婚姻情况、学历、主观经济状况、家庭人均实际收入、家庭成员、BMI、家族史、合并慢性病、饮茶情况、吸烟情况、睡眠习惯、劳逸情况、运动习惯的组间差异均有统计学意义(均P<0.05)。控制混杂变量的结果显示,5种饮酒模式的SF-36总分、心理领域以及下属的社会功能、情感职能、精神健康维度得分组间差异均有统计学意义(均P<0.05)。差异性检验与最小临床重要差值共同表明,不饮酒模式的生命质量最好,重度饮酒模式次之,其次是中度、适度饮酒模式,前饮酒模式最差,尤其在心理领域及其下属维度。结论相较于不饮酒模式,前饮酒模式生命质量最差,重度饮酒模式得分虽高,但考虑到其他健康结局,建议人群减少饮酒或保持不饮酒,以获得较大的健康效益。展开更多
文摘Aim: This work aimed to study the influence of two chronic health conditions, metabolic syndrome (MetS) and musculoskeletal disorders (MSDs), on the health-related quality of life (HRQoL) of Saudis. Method: The Medical Outcomes Study Short Form-36 (SF-36) health status questionnaire was used to measure the HRQoL and compare the mean scores of the questionnaire subscales and physical and mental component summaries (PCS and MCS) of 33 patients with MetS, 18 patients with MSDs, and 30 apparently healthy (AH) subjects. Regression analysis was used to measure the prediction power of the study group, age and gender of the participants in estimating the HRQoL. Results: Results showed that the mean scores of the physical subscales, the PCS, the mental subscales and MCS were arranged in descending order from AH subjects, patients with MetS, to patients with MSDs. The mean scores difference among the 3 study groups were statistically significant with the only exception for the general mental health (GMH) subscale (P = 0.404). The study group and age accounted for 41.8% of the variability of PCS while the study group accounted for 19.6% of the variability in the MCS. The resulted equation to estimate the PCS score was as follows: PCS = 113.18 - 12.85 (Group: 0 for AH, 1 for MetS, and 2 for MSDs) - 0.67 age. On the other hand the resulted equation to estimate the MCS score was as follows: MCS = 76.203 - 10.426 (Group: 0 for AH, 1 for MetS, and 2 for MSDs). Conclusion: Patients with MetS and patients with MSDs had lower HRQoL than AH subjects. All the physical and mental dimensions of HRQoL are negatively influenced with MetS and with MSDs with the only exception for the GMH subscale. The physical and mental burden of MSDs is more dominant. The study group and age can be used to predict the PCS while the study group can be used to predict the MCS.
文摘目的调查肝硬化患者肝移植前后生存质量的变化情况。方法研究对象为在中山大学附属第三医院移植中心行首次肝移植手术的68例肝硬化患者。分别在术前,术后0～6个月、7～12个月、12个月以上对患者进行问卷调查。问卷采用健康调查简表(medical outcome study 36-item short form health survey,SF-36)与疾病专用调查表——慢性肝病问卷(chronic liver disease questionaire,CLDQ)。结果在肝移植术前,肝硬化患者的SF-36和CLDQ各维度评分均偏低。术后各时段SF-36的生理机能、躯体疼痛、一般健康、精力和CLDQ的腹部症状、乏力、全身症状、活动评分均较术前明显升高(均为P<0.05);与术前比较,术后0～6个月SF-36的生理职能、社会功能、情感职能、精神健康和CLDQ的情感功能、焦虑评分差异无统计学意义(均为P>0.05),但术后7～12个月、术后12个月以上述维度评分比较差异均有统计学意义(均为P<0.05);术后随着时间的推移,两表各维度得分逐步升高。结论肝硬化肝移植患者术后的生存质量与术前比较有明显改善,术后早期以生理功能方面改善明显,随时间的推移,生存质量其他指标如心理状态和社会功能也得到明显的改善。
文摘目的了解京冀两地人群的饮酒模式现状,探究不同饮酒模式的特征及其生命质量的得分差异。方法选取“正常人群不同体质中医脉诊生理参数系统调查”数据库中符合条件的数据,依据日均纯酒精摄入量划分饮酒模式,通过简明健康状况调查问卷(medical outcomes study 36-item short-form health survey,SF-36)获得生命质量得分,采用最小二乘回归分析不同饮酒模式的生命质量得分差异。结果纳入样本1994例,其中男性654例,女性1340例;年龄为31.7(22.0,37.0)岁。不饮酒模式、前饮酒模式、适度饮酒模式、中度饮酒模式、重度饮酒模式分别有1375人、74人、368人、90人、87人。5种饮酒模式比较,性别、年龄、婚姻情况、学历、主观经济状况、家庭人均实际收入、家庭成员、BMI、家族史、合并慢性病、饮茶情况、吸烟情况、睡眠习惯、劳逸情况、运动习惯的组间差异均有统计学意义(均P<0.05)。控制混杂变量的结果显示,5种饮酒模式的SF-36总分、心理领域以及下属的社会功能、情感职能、精神健康维度得分组间差异均有统计学意义(均P<0.05)。差异性检验与最小临床重要差值共同表明,不饮酒模式的生命质量最好,重度饮酒模式次之,其次是中度、适度饮酒模式,前饮酒模式最差,尤其在心理领域及其下属维度。结论相较于不饮酒模式,前饮酒模式生命质量最差,重度饮酒模式得分虽高,但考虑到其他健康结局,建议人群减少饮酒或保持不饮酒,以获得较大的健康效益。
