Comparative Study On Health Related Quality Of Life Of Farmers And Workers

Liu, X.; Duan, Shumin; Wu, Yinhua; Ye, C.; Wang, J.; Dong, Hengjin

doi:10.1016/j.jval.2014.08.226

Cited by 5 publications

(7 citation statements)

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“…In addition, the results of HRQoL in our study were similar to former studies conducted in China, supporting the consistency of our data [2,17,18,20,21]. From a global context, much of the HRQoL results were observed to be higher or lower depending on the socio-demographic variables compared to studies conducted in settings, such as the U.S., Europe, and Vietnam [28,29,30].…”

Section: Discussionsupporting

confidence: 90%

“…Since these are two different geographic provinces in China with differing structural features, residents are very likely to have different HRQoL scores and, importantly, different influencing social factors need to be identified in different regions for better interventions for a better quality of life. To the best of our knowledge, no study had compared the HRQoL of ordinary people between an eastern and western province in China specifically [17,18,19,20,21].…”

Section: Introductionmentioning

confidence: 99%

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Social Determinants of Health-Related Quality of Life among Residents in Zhejiang and Qinghai, China

Zhang

Ali

et al. 2019

IJERPH

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Social determinants are closely related to health and play a significant role in shaping the quality of life of a population. This study aimed to explore the differences in HRQoL (health-related quality of life) scores of residents in the eastern province of Zhejiang and the western province of Qinghai and probe factors affecting the HRQoL among the two populations. A sample of 4210 residents from a cross-sectional survey was included in the analysis. The EQ-5D-3L instrument was used to measure the HRQoL of residents. A Chi-square test and a t-test were used to examine the differences between different variables and analysis of variance (ANOVA) with interaction effects was used to analyze factors associated with the HRQoL between the two provinces. Residents’ EQ-5D index score (EQ VAS score) was 0.963 (82.71) and 0.962 (81.51), respectively, in Zhejiang and Qinghai. Generally, residents in Qinghai displayed significantly worse HRQoL scores than those in Zhejiang. The differences between the two regions lay on mobility, pain/discomfort, and anxiety/depressions. In both regions, an increased education level and being employed were most strongly associated with a positive HRQoL; increased age and presence of chronic diseases were most strongly associated with a negative HRQoL. When formulating health policies, the significant health disparities between western and eastern provinces must be given greater consideration. The health of vulnerable groups should be particularly focused on to improve the observed health disparities.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Social Determinants of Health-Related Quality of Life among Residents in Zhejiang and Qinghai, China

Zhang

Ali

et al. 2019

IJERPH

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“…Our study showed an average EQ-5D utility value of 0.990(0.033) and VAS score of 93.5(9.5) among enterprise workers in Deqing and Taizhou during the epidemic lockdown, respectively. both the average EQ-5D utility value and VAS score were higher than those from studies conducted before the epidemic among Chinese adult population (0.951 and 88.0) (37,47)and workers (0.959 and 81.1) (37,47). Compared with the recent researches during the epidemic, they were also higher than scores measured in patients with Alzheimer's disease (utility: 0.62, VAS:52.9)(48), cancer patients (VAS:66.1)(10) and other general Chinese population (utility:0.949, VAS: 85.5)(25) as well as Moroccans with home con nement (utility: 0.86, VAS: 80.3) (49).…”

Section: Disscusionmentioning

confidence: 64%

Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China

Chen¹,

Xu²,

Lin

et al. 2020

Preprint

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Background: The COVID-19 related lockdown and home confinement might have an important impact on the quality of life in enterprise workers. We investigated the quality of life during the epidemic in enterprise workers who just returned to work, and assessed its potential influencing factors to have a better understanding of the impact of COVID-19 epidemic lockdown and home confinement. Methods: This was a cross-sectional study of enterprise workers conducted in Deqing and Taizhou, Zhejiang Province, China. The Chinese version of EQ5D was used to assess life quality, and information about general characteristics and COVID-19 related factors was collected by a structured questionnaire, which was distributed through the social application “WeChat”. Results: A total of 2,435 participants were enrolled, 59.5% of which worked in Deqing. About 50% of the participants reported worries about the COVID-2019 epidemic and 40.1% had a centralized or home quarantine during the epidemic. The mean EQ-5D score and VAS were 0.990 and 93.5. Multiple logistic regression showed that the quality of life measures was related to physical activities (ORad=0.46) and keeping home ventilation (ORad=0.04) in Deqing, and were related to wearing a mask when going out (ORad=0.35), keeping home ventilation (ORad=0.16), unmarried status (ORad=2.38) and having a centralized or home quarantine (ORad=1.64) in Taizhou,Conclusions: The quality of life for returning enterprise workers in areas with different risks of COVID-19 was affected by different factors. Associated factors identified from this study would help develop proper intervention measures for enterprise workers to reduce the impact of large-scale public health events like the COVID-19 on their quality of life.

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“…041) and VAS score of 93.5(9.5) among enterprise workers in Deqing and Taizhou during the epidemic lockdown, respectively. Both the average EQ-5D utility value and VAS score were higher than those from studies conducted before the epidemic among Chinese adult population (0.951 and 88.0) [ 50 , 51 ] and workers (0.959 and 81.1) [ 50 , 51 ]. Compared with the recent researches during the epidemic, they were also higher than scores measured in patients with Alzheimer’s disease (utility: 0.62, VAS:52.9) [ 52 ], cancer patients (VAS:66.1) [ 10 ] and other general Chinese population (utility:0.949, VAS: 85.5) [ 24 ] as well as Moroccans with home confinement (utility: 0.86, VAS: 80.3) [ 53 ].…”

Section: Disscusionmentioning

confidence: 72%

Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China

Chen¹,

Qian

Lin³

et al. 2021

BMC Public Health

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Background The COVID-19 related lockdown and home confinement might have an important impact on the quality of life in enterprise workers. We investigated the quality of life during the epidemic in enterprise workers who just returned to work, and assessed its potential influencing factors to have a better understanding of the impact of COVID-19 epidemic lockdown and home confinement. Methods This was a cross-sectional study of enterprise workers conducted in Deqing and Taizhou, Zhejiang Province, China. The Chinese version of EQ5D was used to assess life quality, and information about general characteristics and COVID-19 related factors was collected by a structured questionnaire, which was distributed through the social application “WeChat”. Multiple liner regression was used to investigate potential influencing factors. Results A total of 2420 participants were enrolled, 59.5% of which worked in Deqing. About 50% of the participants reported worries about the COVID-2019 epidemic and 40.2% had a centralized or home quarantine during the epidemic. The mean EQ-5D score and VAS were 0.990 and 93.5. Multiple liner regression showed that the quality of life measures was related to physical activities (β = 0.006) and keeping home ventilation (β = 0.063) in Deqing, and were related to wearing a mask when going out (β = 0.014), keeping home ventilation (β = 0.061), other marital status (β = − 0.011), worry about the epidemic (β = − 0.005) and having a centralized or home quarantine (β = − 0.005) in Taizhou. Conclusions The quality of life for returning enterprise workers in areas with different risks of COVID-19 was affected by different factors. Associated factors identified from this study would help develop proper intervention measures for enterprise workers to reduce the impact of large-scale public health events like the COVID-19 on their quality of life.

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Comparative Study On Health Related Quality Of Life Of Farmers And Workers

Cited by 5 publications

References 0 publications

Social Determinants of Health-Related Quality of Life among Residents in Zhejiang and Qinghai, China

Social Determinants of Health-Related Quality of Life among Residents in Zhejiang and Qinghai, China

Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China

Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China

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