Health-related quality of life and its associated factors in Chinese middle-aged women

Huang, Yizhou; Chatooah, Namratta Devi; Qi, Tongyun; Wang, G; Ma, Linjuan; Ying, Qian; Lan, Yibing; Song, Yang; Li, C; Chu, Ketan; Chen, P; Xu, Wenxian; Wan, H; Cai, Yuqun; Zhou, Jianhong

doi:10.1080/13697137.2018.1476133

Cited by 13 publications

(9 citation statements)

References 42 publications

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“…Premenopozal dönemdeki kadınların fiziksel fonksiyon skorları, perimenopozal dönemdeki kadınlarınkine göre oldukça yüksektir. 31 Mishra ve Kuh, yaşam kalitesi ile menopozal geçiş, sosyoekonomik faktörler, yaşam biçimi ve stres arasındaki ilişkiyi araştırdıkları çalışmalarında; en az 1 yıldır perimenopozal dönemde olan kadınların, premenopozal dönemdeki kadınlara göre fiziksel ve psikosomatik alanlarda düşüş gösterdiğini ve bu farkın anlamlı olduğunu bildirdiler. 32 Birçok çalışmada, sonuçlarımızdan farklı olarak yaşam kalitesinin fiziksel fonksiyonlar ile ilişkili olduğu bildirilirken, bir çalışmada ağrı ile ilişkili olduğu bildirilmiştir.…”

Section: Discussionunclassified

Comparison of Physical Fitness and Quality of Life in Perimenopausal and Menstrual Period Women: Cross-Sectional Study

DİNÇ¹,

KABUL²,

ÖZTEKİN³

2022

Turkiye Klinikleri J Health Sci

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Perimenopoz; menopoza geçiş sürecidir. Menopoza kadar süren, 2-8 yılı kapsayan bir dönemdir. 1 Menopoza geçiş döneminde, östrojen hormonunun azalmasına bağlı olarak kadınlarda hormonal, fiziksel ve duygusal değişimler meydana gelmekte ve bu de-ğişiklikler, kadınların yaşam kalitesini olumsuz etkilemektedir. 1 Menopoza geçiş yapan kadınlarda, dünya çapında en sık bildirilen semptomlar arasında sıcak basması yer almakta olup, bu geçişe giren kadınların %75'ini etkilemektedir. 2 Sıcak basmaları, ka-

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Section: Discussionunclassified

Comparison of Physical Fitness and Quality of Life in Perimenopausal and Menstrual Period Women: Cross-Sectional Study

DİNÇ¹,

KABUL²,

ÖZTEKİN³

2022

Turkiye Klinikleri J Health Sci

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“…Scores for each scale were later summed up and categorized as normal, mild, moderate, severe, and extremely severe. For depression, the total scoring was categorized as follows: normal (0-9), mild (10-13), moderate (14)(15)(16)(17)(18)(19)(20), severe (21)(22)(23)(24)(25)(26)(27), and extremely severe (more than 28). For anxiety, the total scoring was categorized as normal (0-7), mild (8)(9), moderate (10)(11)(12)(13)(14), severe (15)(16)(17)(18)(19), and extremely severe (more than 20).…”

Section: Methodsmentioning

confidence: 99%

“…Studies in the general population had shown that factors and predictors such as older age (12), depression (13), anxiety (14)(15)(16)(17), stress (18), chronic medical illness (19)(20)(21)(22)(23), poor financial status (24)(25)(26), low level of education (27,28), being single (29), family problem (30)(31)(32), and poor job satisfaction (33,34) may negatively affect QOL (35,36). However, there are limited data available pertaining to QOL among university staff.…”

Section: Introductionmentioning

confidence: 99%

The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life

et al. 2021

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Experiencing good quality of life (QOL) among university staff is extremely crucial to ensuring academic excellence; however, there are limited data on factors that contribute to QOL among university staff. This study aims to determine the level and the predictors for good QOL among university staff. The consenting participants were selected using a stratified sampling method. Participants who had fulfilled the selection criteria were provided with socio-demographic, medical illness, job factor, and family background questionnaires. QOL and psychological well-being (depression, anxiety, and stress) were assessed using the World Health Organization Quality of Life brief version (WHOQOL-BREF) and Depression, Anxiety, and Stress Scale (DASS-21) questionnaires, respectively. A total of 278 staff (mean ± SD age: 38.84 ± 7.85 years, 44.2% males, 82.7% married) had participated in this study. This study found that participants had low QOL in the domains of physical health [P-QOL] (11.2%), psychological health [PSY-QOL] (9.7%), social relationships [SR-QOL] (19.1%), and environment [E-QOL] (14.4%). The predictors of P-QOL were depression, medical illness, and number of dependents, while those of PSY-QOL were work promotion, depression, medical illness, and number of dependents. Additionally, the predictors of SR-QOL were campus location, depression, and work promotion, while those of E-QOL were age, level of education, depression, work promotion, and medical illness. Depression significantly affected all domains of QOL. Younger participants without medical illness and those with tertiary level of education had increased odds of having good QOL. Participants having dependents without work promotion and employed in suburban areas had decreased odds of having good QOL. The relevant authority should be identified and then assist staff with difficulties to ensure the staff benefited from having a good QOL.

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“…In the current network environment, there are various systems, and a technology is needed to communicate in these heterogeneous systems. Web service is such a versatile "translator" [13]. e reason why Web services can communicate between heterogeneous systems is that Web services use XML (eXtensible Markup Language) as the carrier of information transmission.…”

Section: Web Services and System Architecture Design A Webmentioning

confidence: 99%

Innovation and Business Model of Life and Health Sharing Platform Based on Algorithm of Naive Bayesian Model

2022

Scientific Programming

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Including shared bicycles, shared chefs, shared ideas, shared printing, and even shared human resources, the vocabulary of sharing has quietly entered people’s lives, affecting everyone’s necessities. “Everyone can participate” and “everything can be shared” are all familiar words in the sharing economy field. The implementation of the sharing economy is carried out by relying on the sharing platform. Knowledge, as a special resource, can exert its maximum benefit only when it is widely disseminated and shared, and the process of knowledge sharing and transformation itself contains knowledge innovation. By linking the multiparticipants of the platform, sharing, cocreation, and win-win are realized. The research value of this paper lies in the use of microservices to solve the problems of high coupling, poor scalability, and difficulty in rapid iteration in traditional monolithic applications, effectively identifying and blocking spam that may appear on the platform through a relatively simple solution. Meanwhile, it has been expected that under the trend of sharing economy, with the development of blockchain and 5G technology, an Internet life and health platform can be built. The upstream and downstream in the medical and health industry can be linked to share resources between the upstream and downstream in the industry, which can create a common nakedness, thus improving the operational efficiency and profitability of the entire medical and health industry. Finally, a spam identification scheme combining the improved Aho-Corasick algorithm (AC) and the naive Bayesian model (NBM) has been proposed, and a comparative experiment was conducted between this scheme and the scheme directly using NBM. The experimental results showed that the macro F1 value of the improved scheme on the bad evaluation dataset of platform A was 3.6% higher than that of NBM alone, and the macro F1 value of the improved scheme was 1.7% higher than that of NBM alone on the B platform review dataset. The overall performance of the improved NBM algorithm was stable and better than the traditional algorithm, which verified the feasibility of the scheme.

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Health-related quality of life and its associated factors in Chinese middle-aged women

Abstract: There was a difference in HRQOL by menopausal stage in middle-aged Chinese women. Menopause might exert a negative impact on HRQOL, adjusting for menopausal symptoms and sociodemographic factors.

Cited by 13 publications

References 42 publications

Comparison of Physical Fitness and Quality of Life in Perimenopausal and Menstrual Period Women: Cross-Sectional Study

Comparison of Physical Fitness and Quality of Life in Perimenopausal and Menstrual Period Women: Cross-Sectional Study

The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life

Innovation and Business Model of Life and Health Sharing Platform Based on Algorithm of Naive Bayesian Model

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