Prevalence and influencing factors of self-neglect in older adults: a systematic review and meta-analysis [0.03%]
老年人自我忽视的流行率及影响因素：系统评价和荟萃分析
Huiqin Li,Jing Wang,Yuyao Zhang et al.
Huiqin Li et al.
Potential protective factors for self-neglect in older adults included higher income levels (r: -0.20, 95 % CI: -0.24, -0.16) and high social support (r: -0.14, 95 % CI: -0.19, -0.09).
Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes [0.03%]
针对糖尿病视网膜病变高危患者的数字健康工具的视力保护设计建议：成人糖尿病患者定性焦点小组研究结果
Akua Frimpong,Alvaro Granados,Thomas Chang et al.
Akua Frimpong et al.
Household income levels across nearly all participants (14/19, 74%) were below US $50,000, but household size data were not collected. Participants reported extensive experience with diabetes or prediabetes (mean years with diabetes or prediabetes 17.06, SD 17.53).
Optimizing the health workforce for Universal Health Coverage: a framework for analysis and action [0.03%]
优化卫生人力以实现全民健康覆盖：分析与行动框架
Gafar B Alawode,Abdul-Rahman A Ajibola,Morohunranti S Sanusi et al.
Gafar B Alawode et al.
Despite income levels influencing HRH density, variations in the number of health workers per capita and their performance highlight the need to optimize HRH within any economic context.
Association of Food Insecurity with Diet Quality and Anthropometric Measurements among American Elderly: Results from 2017-2020 NHANES [0.03%]
美国老年人食物不安全与饮食质量及体质测量结果（基于2017-2020年NHANES数据）
Xiuhong Wang,Hui Cao,Xuanlan Wu et al.
Xiuhong Wang et al.
FIS participants were younger and had lower education and income levels compared to FS individuals (p < 0.05).
More Money, More Questions: How Caregivers Spent the Expanded Child Tax Credit [0.03%]
更多钱，更多疑问：监护人如何花费扩大后的儿童税惠资金
C Ross Hatton,Adam S Levine,Keshia M Pollack Porter et al.
C Ross Hatton et al.
This explanatory sequential mixed methods study uses survey and interview data to examine how caregivers of varying income levels living in Maryland used the funds and the factors shaping those decisions.
Disparities in exposure to concentrated animal feeding operations (CAFOs) and other animal feeding operations across multiple states in USA [0.03%]
美国多州集中动物饲养场和其它动物饲养场分布的不均性
Ji-Young Son,Brandon M Lewis,Michelle L Bell
Ji-Young Son
Education, poverty, and income levels also varied, with some states (e.g., North Carolina, South Carolina) showing higher poverty rates, lower education level, and lower incomes in higher exposure groups and other states showing reverse trends (e.g., Wisconsin).
Evaluating the impacts of the COVID-19 pandemic on unemployment, income distribution and poverty in Turkey [0.03%]
评估COVID-19大流行对土耳其失业、收入分配和贫困的影响
Ayşe Aylin Bayar,Öner Günçavdı,Haluk Levent
Ayşe Aylin Bayar
The actual changes in sectoral output and employment, which are available as of March 2021, are used to generate changes in the income levels of households in TurkStat's 2017 survey.
Factors associated with the Dietary Total Antioxidant Capacity of the Brazilian population [0.03%]
与巴西人群膳食总抗氧化能力相关的因素
Mariane Alves Silva,Lara Gomes Suhett,Ilana Nogueira Bezerra et al.
Mariane Alves Silva et al.
By contrast, individuals with higher educational and income levels presented lower DTAC values.
Addressing disparities: unmet health needs and its impact on health-related quality of life [0.03%]
解决差异：未满足的健康需求及其对与健康相关的生活质量的影响
Birol Yetim,Özgür Uğurluoğlu
Birol Yetim
Furthermore, women, individuals with lower educational attainment and income levels and those diagnosed with cardiovascular diseases were found to have significantly lower quality of life.
Family members' knowledge, attitudes, practices, and caregiver burden in managing the health of patients with severe burn injuries [0.03%]
严重烧伤患者家属的健康照护知识、态度、行为及其照顾负担
Huili Wang,Jiaming Yang,Mengjia Xia et al.
Huili Wang et al.
Multivariate logistic regression analysis identified that income levels of 5,001-10,000 Yuan (OR = 12.6, 95% CI: [2.57, 62.4], P = 0.002) and 10,001-20,000 Yuan (OR = 8.05, 95% CI: [1.53, 42.3], P = 0.014) were found to be independently associated with increased caregiver burden.
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