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《Health & place》2013
There is a lack of validated and reliable instruments on perception of the food environment, in particular for rural environments. We estimated the test–retest reliability of a questionnaire assessing perceptions of the food environment. A total of 101 primary food shoppers in South Carolina were interviewed by phone to assess their perceptions of the food environment and presence of different food outlet types in their neighborhood. The survey was repeated approximately one month after the initial administration. The intra-class correlation (ICC) and Phi coefficient are reported as measures of reliability. The majority of questions on perceptions of the neighborhood food environment appear highly reliable (ICCs range from 0.55 to 0.71), including the 3-item scale on healthy food availability (ICC 0.71). Compared to participants in rural areas, those in urban areas demonstrated better reliability for questions on opportunities to purchase fast food and perceived presence of a supercenter. More research is needed to evaluate potential rural–urban differences in reliability. 相似文献
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XU Xiang Rong WANG Jing Jing YANG Qiu Yue JIAO Jie HE Li Hua YU Shan Fa GU Gui Zhen 《Biomedical and environmental sciences : BES》2017,30(2)
<正>Noise-induced hearing loss(NIHL)is a complex disease caused by interactions between environmental and genetic factors.This study investigated whether genetic variability in protocadherin related 15(PCDH15)underlies an increased susceptibility to the development of NIHL in a Chinese population.The results showed that compared with the TT genotype of rs11004085, 相似文献
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ObjectiveDepressive symptoms are common among people with Type 2 diabetes mellitus (T2DM). This study aimed to validate the 3-factor structure of the 14-item Center for Epidemiological Studies Depression (CES-D) scale proposed by Carleton et al. (2013) in a T2DM population.MethodsThe CES-D was administered to consecutive patients with T2DM entering a rehabilitation program. Construct validity was assessed using confirmatory factor analysis. Subscale viability, differential item functioning, and associations with clinical characteristics were tested in bifactor models.ResultsAmong adults with T2DM (n = 305, age 56.9 ± 11.1, 44.9% male, duration of diabetes 7.8 ± 7.9 years, HbA1c 0.076 ± 0.014%), the construct validity of Carleton's 3-factor solution (negative affective, positive affective and somatic symptoms) was confirmed, although negative affective and somatic symptoms were highly correlated (r = 0.926). The CES-D items can be summed to arrive at a total score (ωH = 0.869), but not subscale scores (ωS > 0.7). Differential item functioning was not found based on age or body mass index (BMI), but Item 1 (“I was bothered by things that don't usually bother me”) was inflated in women and Item 7 (“I felt that everything I did was an effort”) was inflated in those with higher glycosylated haemoglobin (HbA1c). The general depression factor decreased with age (β = − 0.247, p < 0.001) and increased with BMI (β = 0.102, p = 0.041) but not HbA1c (β = 0.065, p = 0.461). Negative affective symptoms (β = 0.743, p = 0.001), but not other depressive symptoms, were higher in women.ConclusionsThe 14-item CES-D retained construct validity in adults with T2DM. Depressive symptoms were associated with younger age, female gender and BMI, but not with glycemic control. 相似文献
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《Injury》2016,47(5):1109-1117
IntroductionThe incidence of ladder-related falls is increasing, and this represents a disturbing trend, particularly in the context of increased life expectancy and the impending retirement of the populous ‘baby-boomer’ generation. To date, there have been no critical illness-focused studies reporting on the incidence, severity and outcomes of severe ladder-related injuries requiring ICU management.MethodsMajor trauma patients admitted to ICU over a 5 year period to June 2011 after ladder falls >1 m were identified from prospectively collected trauma data at a Level 1 trauma service. Demographic and ICU clinical management data were collected and non-parametric statistical analyses were used to explore the relationships between variables in hospital mortality/survival.ResultsThere were 584 ladder fall admissions, including 194 major trauma cases, of whom 29.9% (n = 58) fell >1 m and were admitted to ICU. Hospital mortality was 26%, and fatal cases were almost entirely older males in domestic falls of ≤3 m who died as a result of traumatic brain injury. Non-survivors had lower GCS at the scene (p = 0.02), higher AIS head code (p = 0.01), higher heart rate and lower mean arterial pressure (p < 0.01) in the initial 24 h period in ICU, and were ≥55 years of age (p = 0.05). Only 46% of patients available for follow-up were living at home at 12 months without requiring additional care.ConclusionsThe incidence of ladder falls requiring ICU management is increasing, and severe traumatic brain injury was responsible for the majority of deaths and for poor outcomes in survivors. In-hospital costs attributable to the care of these patients are high, and fewer than half were living independently at home at 12 months post-fall. A concerted public health campaign is required to alert the community to the potential consequences of this mechanism of injury. The use of helmets for ladder users in domestic settings, where occupational health and safety regulations are less likely to be applied, is strongly recommended to mitigate the risk of severe brain injury. The benefits of this simple strategy far outweigh any mild inconvenience for the wearer, and may prevent catastrophic injury. 相似文献
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目的 探讨制造业工人工作相关肌肉骨骼疾患(work-related musculoskeletal disorders,WMSDs)在多个部位的发生模式及其影响因素。方法 应用肌肉骨骼疾患调查问卷对4家制造企业工人的WMSDs患病情况及影响因素展开流行病学调查。WMSDs病例定义为过去一年内身体颈部、肩部、肘部、手腕/手、上背部、下背部、臀/大腿、膝部、踝/足9个部位中一个或多个部位出现疼痛、麻木、不适或活动受限等症状,持续时间超过24 h,经休息后症状仍未完全缓解,且排除外伤、残疾、其他急症或后遗症等。各部位WMSDs患病情况间的关联度用log-binomial模型计算出的现患比(PR值)评估,采用多分类Logistic回归模型分析WMSDs主要患病部位中多个部位共患病的影响因素。结果 制造业工人WMSDs总患病率达79.7%,主要患病部位为下背部、颈部、肩部和上背部,患病率依次为62.3%、55.7%、45.6%和38.7%。这4个部位患病情况间的PR值较高,4个部位共患病率为25.2%,3~4个部位共患病率为41.4%。多分类Lgistic回归分析提示,颈部、肩部、上背部和下背部中3~4个部位患WMSDs的影响因素涉及多个方面,其中女性(OR=2.86,95%CI 2.38~3.33)、工龄15~19年者(OR=1.87,95%CI 1.49~2.34)患病风险较高;颈部经常长时间或频繁前倾(OR=2.15,95%CI 1.86~2.48)、颈部经常长时间或频繁扭转(OR=1.64,95%CI 1.40~1.92)和经常大幅转身(OR=1.40,95%CI 1.20~1.64)等生物力学因素可能为疾患发生的危险因素;每天做相同的工作(OR=1.73,95%CI 1.44~2.08)、员工短缺(OR=1.50,95%CI 1.31~1.71)和经常加班(OR=1.38,95%CI 1.20~1.60)等组织管理因素可能增加疾患的发生风险;经常长时间站着工作(OR=0.77,95%CI 0.65~0.91)和感觉工间休息时间充足(OR=0.51,95%CI 0.44~0.59)等因素为保护性因素。结论 本研究中制造业工人颈部、肩部、上背部和下背部WMSDs患病率高,4个部位的患病情况间关联密切,其3~4部位共患病率较高,提示在制造业工人中可能存在“颈-肩-上背-下背”多个部位患病的WMSDs发生模式,这种模式的主要影响因素包括个体因素、生物力学因素和组织管理因素几个方面。 相似文献
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Predicting In-Hospital Mortality at Admission to the Medical Ward: A Big-Data Machine Learning Model
Shelly Soffer Eyal Klang Yiftach Barash Ehud Grossman Eyal Zimlichman 《The American journal of medicine》2021,134(2):227-234.e4
BackgroundGeneral medical wards admit high-risk patients. Artificial intelligence algorithms can use big data for developing models to assess patients’ risk stratification. The aim of this study was to develop a mortality prediction machine learning model using data available at the time of admission to the medical ward.MethodsWe included consecutive patients (ages 18-100) admitted to medical wards at a single medical center (January 1, 2013-December 31, 2018). We constructed a machine learning model using patient characteristics, comorbidities, laboratory tests, and patients’ emergency department (ED) management. The model was trained on data from the years 2013 to 2017 and validated on data from the year 2018. The area under the curve (AUC) for mortality prediction was used as an outcome metric. Youden index was used to find an optimal sensitivity-specificity cutoff point.ResultsOf the 118,262 patients admitted to the medical ward, 6311 died (5.3%). The single variables with the highest AUCs were medications administered in the ED (AUC = 0.74), ED diagnosis (AUC = 0.74), and albumin (AUC = 0.73). The machine learning model yielded an AUC of 0.924 (95% confidence interval [CI]: 0.917-0.930). For Youden index, a sensitivity of 0.88 (95% CI: 0.86-0.89) and specificity of 0.83 (95% CI: 0.83–0.83) were observed. This corresponds to a false-positive rate of 1:5.9 and negative predictive value of 0.99.ConclusionA machine learning model outperforms single variables predictions of in-hospital mortality at the time of admission to the medical ward. Such a decision support tool has the potential to augment clinical decision-making regarding level of care needed for admitted patients. 相似文献
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《American journal of infection control》2021,49(11):1448-1449
Using a 1989 baseline study, we surveyed 1,004 US consumers in 2019 on education and awareness of healthcare-associated infection (HAI) risk and prevention. Awareness of HAI risk remains unchanged (62% vs 65%) but belief HAIs are preventable dropped (83% vs 28%). Medical professionals and the internet are top information sources. 相似文献
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