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  1. 321

    The Impact of High Labour Turnover on Students Performance in Private Higher Institutions of Learning in Kabale District: A Case Study of African College of Commerce and Technology... by Kemigisha, Maryshivan

    Published 2024
    “…Adequate healthcare, retirement plans, and other non-monetary benefits should also be considered to enhance employee satisfaction and retention. …”
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    Thesis
  2. 322

    Surgical ergonomics among ophthalmologists at Alsaim Eye Hospital, Wad Madani, Sudan: a clinical audit by Imtinan Yousif, Khawla Jibreel, Mehera Mohammed

    Published 2025-01-01
    “…Neglecting surgical ergonomics might lead to early retirement and decreased productivity. This study aimed to assess ophthalmologists’ surgical ergonomic practices and compared them to expert ophthalmologists’ recommendations published by the Royal College of Ophthalmologists. …”
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    Article
  3. 323

    Low Back Pain and Associated Factors among Primary School Teachers in Mekele City, North Ethiopia: A Cross-Sectional Study by Aregawi Kebede, Solomon Mekonnen Abebe, Haile Woldie, Melaku Kindie Yenit

    Published 2019-01-01
    “…The pain, which is widely considered to be caused by occupational activities, has a significant impact on teachers’ quality of life because it results in frequent sick leaves, functional impairment, and early retirement. It is also demanding in terms of treatment costs, individual suffering, and discontinuation of jobs. …”
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    Article
  4. 324

    Health-related quality of life and its predictors among chronic kidney disease patients: A hospital-based cross-sectional study. by Tasmia Tasnim, Kazi Muhammad Rezaul Karim, Tanjina Rahman, Harun-Ur Rashid

    Published 2025-01-01
    “…Further, higher levels of education, being married, absence of diabetes and heart disease were all independent predictors of a higher MCS. Whereas retirement, low duration of CKD and the use of three or more drugs strongly linked to worse scores of PCS. …”
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    Article
  5. 325

    Understanding the Association Between Home Broadband Connection and Well-Being Among Middle-Aged and Older Adults in China: Nationally Representative Panel Data Study by Lu Yang, Chris Lynch, John Tayu Lee, Brian Oldenburg, Tilahun Haregu

    Published 2025-02-01
    “…MethodsA panel data study design of the national sample of China Health and Retirement Longitudinal Study (CHARLS) was conducted in 2015, 2018, and 2020. …”
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    Article
  6. 326

    Sociodemographic and Lifestyle Factors in relation to Overweight Defined by BMI and “Normal-Weight Obesity” by Bodil Ohlsson, Jonas Manjer

    Published 2020-01-01
    “…Associations with lean versus NWO differed from those of lower versus higher BMI, with an association with retirement, an inverse association with male sex (OR, 0.664; 95% confidence interval, 0.591–0.746), and no associations with marital status, smoking, and alcohol consumption frequency. …”
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    Article
  7. 327

    Heterogeneous adverse childhood experiences and cognitive function in an elderly Chinese population: a cohort study by Ya Fang, Manqiong Yuan, Fengzhi Qin, Chuanhai Xu

    Published 2022-06-01
    “…Objective To identify the heterogeneity of adverse childhood experiences (ACEs) as well as their association with cognitive function in an elderly Chinese population.Design A retrospective cohort study.Participants The data were from the latest wave of the China Health and Retirement Longitudinal Study and a total of 7222 participants aged ≥60 were included.Primary and secondary outcome measures Latent class analysis was used to identify the classes characterised by 11 types of ACEs. …”
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    Article
  8. 328

    Social activities and different intensities of physical activity among older adults in China: a population-based cohort study by Song Yang, Qi Zhang, Anhui Zhao, Dongye Lyu

    Published 2025-01-01
    “…Physical activity is widely recognized as a critical factor for improving health, yet the specific impact of different intensities of physical activity on the health of older adults remains underexplored.MethodsThis study addresses this gap by analyzing data from the China Health and Retirement Longitudinal Survey (CHARLS), a nationally representative survey of a cohort of Chinese people (aged ≥45 years) from 150 counties or districts and 450 villages or urban communities across 28 provinces, who were selected by use of multistage stratified probability-proportionate-to-size sampling. …”
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    Article
  9. 329

    The Association Between the Onset and Ending of Volunteering on Loneliness and Perceived Social Isolation Among Older Adults: Longitudinal Evidence From the German Ageing Survey by Avery Richardson, Hans‐Helmut König, André Hajek

    Published 2025-01-01
    “…This study aims to assess whether engaging in volunteer work during retirement age is associated with changes in loneliness and social isolation. …”
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    Article
  10. 330

    Triglyceride-glucose index in predicting the risk of new-onset diabetes in the general population aged 45 years and older: a national prospective cohort study by Yingqi Shan, Qingyang Liu, Tianshu Gao

    Published 2025-01-01
    “…Methods This study used longitudinal data from five waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, 2018, and 2020, involving 5886 participants. …”
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    Article
  11. 331

    Metabolic diseases in cattle by V. A. Mischenko, A. V. Mischenko, R. V. Yashin, V. A. Yevgrafova, T. B. Nikeshina

    Published 2021-08-01
    “…The main reason for the premature retirement of highly productive cows is based on the factors typical of the intensive technologies used in dairy cattle breeding, which lead to the occurrence of metabolic diseases. …”
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    Article
  12. 332
  13. 333

    Impact of solid fuel use on asthma prognosis and consistent peak expiratory flow changes: Evidence from China by Yuexi Chen, Shuojia Xie, Xirong Chen, Xiaowen Zhong, Linhang Yang, Weitong Lin, Junfeng Huang, Ruchong Chen

    Published 2025-01-01
    “…Methods: Involving participants from the China Health and Retirement Longitudinal Study (CHARLS), this research scrutinized the impact of solid fuel exposure on asthma incidence, peak expiratory flow (PEF), and mortality in asthma patients. …”
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    Article
  14. 334

    Associations between physical activity and heart disease among middle-aged and older Chinese adults by Yujia Liu, Chaoqun Yuan, Tong Chen, Linlin Zhou, Gengyin Zhu, Yu Chen

    Published 2025-01-01
    “…ObjectiveTo quantify the risk of heart diseases (HD) and determine the relationship between physical activity (PA) dimensions and HD among Chinese middle-aged and older individuals.MethodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS, 2018), 16,927 participants were included in this study. …”
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    Article
  15. 335

    Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study by Yanyu Zhang, Xiaoyi Liu, Deyun Luo, Bingli Chen, Chenyi Lai, Chenyu He, Luo Yan, Haifeng Ding, Shiyang Li

    Published 2025-01-01
    “…We extracted data from the China Health and Retirement Longitudinal Study (CHARLS) database from 2011 to 2016. …”
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    Article
  16. 336

    Association between solid cooking fuels exposure and metabolic syndrome: Evidence from China by Jiaming Xue, Shuai Chen, Yicheng Jiang, Qi Liu, Yu Wang, Yuwen Jiao, Yuancheng Shao, Jie Zhao, Yan Zhou, Dongmei Wang, Liming Tang

    Published 2025-01-01
    “…We included participants in 2011 and 2015 from the China Health and Retirement Longitudinal Study (CHARLS) data. Through cross-sectional and longitudinal studies, we found that the use of solid fuels reduced the risk of MetS in participants compared with clean fuels (cross-sectional study: 2011: Odds ratio (OR): 0.819, 95 %confidence interval (CI): 0.747–0.897, P < 0.001; 2015: OR: 0.766, 95 %CI: 0.708–0.851, P < 0.001; longitudinal study: OR: 0.736, 95 %CI: 0.652–0.831, P < 0.001).This impact ceases to exist whenever a switch in fuel type occurs (Non persistent clean: OR: 0.937, 95 %CI: 0.837–1.050, P = 0.262; Persistent solid: OR: 0.767, 95 %CI: 0.691–0.853, P < 0.001). …”
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    Article
  17. 337

    Exposure to high-temperature and high-humidity environments associated with cardiovascular mortality by Yalan Wu, Xiangrong Feng, Jinmei Li, Mengjun Li, Yao Wang, Weihui Lu, Huanhuan Luo

    Published 2025-01-01
    “…The prospective China Health and Retirement Longitudinal Study (CHARLS) cohort was used to further analyze the relationship between exposure to HTH environments and CVD mortality in middle-aged and elderly individuals. …”
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    Article
  18. 338

    Relationship between TyG-related index and hearing loss in people over 45 s in China by Chao Wang, Mengdi Shi, Liangzhen Xie, Chenhao Jiang, Yunxin Li, Jingxiao Li, Shulin Li, Yan Li

    Published 2025-02-01
    “…This study investigates the association of the TyG index, BMI index, and TyG-BMI index with hearing loss, with a focus on their potential implications for the aging population.MethodsData from the China Health and Retirement Longitudinal Study (CHARLS) database were analyzed using R software. …”
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    Article
  19. 339

    The impact of chronic disease diagnoses on smoking behavior change and maintenance: Evidence from China by Xinxin Chi, Xihua Liu, Cong Li, Wen Jiao

    Published 2024-01-01
    “…CS-DID was run using the study sample from the 2011 to 2018 waves of the China Health and Retirement Longitudinal Study, comparing results with traditional two-way fixed effects and event-study models. …”
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    Article
  20. 340

    The mechanism of the social state and the place of the pension system in it: theoretical and legal aspects by S. S. Polesov

    Published 2024-03-01
    “…It is demonstrated that pension provision as a set of legal relations and a real legal phenomenon in the substantive and ontological dimension cannot be identified either with the process of providing an individual with a set of certain social and material services (procedural approach), or with a set of measures taken by the State to meet the needs of an individual for adequate material security upon reaching retirement age or due to adverse social circumstances which exclude their opportunities for active participation in economic and social life. …”
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    Article