BACKGROUND: Over the past decade, the production and consumption of organic food (OF) have received increasing interest. Scientific studies have shown better quality of organic fruit and vegetables (FV) in terms of nutrients and pesticide contents, but it appears difficult to conclude if there are potentially greater health benefits of these products compared with conventional food (CF).
OBJECTIVE: To determine whether the current scientific literature demonstrates that a diet rich in organic FV is healthier than 1 based on conventional produce.
METHODS: A systematic search was conducted using the PubMed and Web of Science databases for articles published between January 2003 and December 2022. Articles were analyzed uniformly by 2 reviewer, using a specific template summary sheet, and scored from 1 to 5. The level of evidence and the quality of studies in humans were assessed using the Jadad score and the French National Authority for Health method.
RESULTS: A total of 12 human studies were included. Studies often reported contradictory or even opposite results, with methodological limitations. Only 6 of the 12 studies found significant associations between OF and the health outcomes evaluated.
CONCLUSIONS: The current data do not enable a firm conclusion about a greater health benefit for a diet rich in FV based on products grown organically compared with conventional farming. There is a paucity of available data and considerable heterogeneity in study designs (participants, exposures, durations, health outcomes, and residual confounding factors). Well-designed interventional studies are required.

UNASSIGNED: The medication regimen for critically ill patients is complex and dynamic, leading to a high incidence of drug-related problems. This study aimed to assess the effectiveness and economic efficiency of pharmaceutical care for these patients.
UNASSIGNED: In this prospective cohort study conducted in a tertiary hospital, adult patients were assigned either to a clinical pharmaceutical care group or a control group based on existing clinical grouping rules. Health outcomes and economic indicators were collected, followed by a cost-effectiveness analysis.
UNASSIGNED: The acceptance rate for clinical pharmacist interventions was 89.31%. The pharmaceutical care group exhibited significant reductions in the rate of medication errors (40.65% vs. 61.69%, P < 0.001) and adverse drug events (44.52% vs. 56.45%, P = 0.020). The usage rates for special-grade antibiotics (85.16% vs. 91.13%, P = 0.009) and proton pump inhibitors (77.42% vs. 88.71%, P = 0.002) were also lower in the pharmaceutical care group. Secondary outcomes did not show significant differences in total hospital stay (21 days vs. 22 days, P = 0.092). However, ICU stay was significantly shorter (9 days vs. 11 days, P = 0.003) in the pharmaceutical care group. Cost-effectiveness analysis demonstrated that each 1% reduction in adverse drug events associated with ICU pharmaceutical care saved $226.75 in ICU hospitalization costs and $203.42 in total ICU drug costs. A 1% reduction in the medication error rate saved $128.57 in ICU hospitalization costs and $115.34 in total ICU drug costs.
UNASSIGNED: Pharmaceutical care significantly reduces adverse drug events and medication errors, promotes rational use of medications, decreases the length of ICU stay, and lowers treatment costs in critically ill patients, establishing a definitive advantage in terms of cost-effectiveness.

BACKGROUND:  Telemedicine expanded rapidly during the COVID-19 pandemic, as key policy changes, financial support, and pandemic fears tipped the balance toward internet-based care. Despite this increased support and benefits to patients and clinicians, telemedicine uptake was variable across clinicians and practices. Little is known regarding physician and institutional characteristics underlying this variability.
OBJECTIVE:  This study aimed to evaluate factors influencing telemedicine uptake among frontline physicians in the early pandemic response.
METHODS:  We surveyed a national stratified sample of frontline clinicians drawn from the American Medical Association Physician Professional Data in June or July 2020. The survey inquired about the first month and most recent month (June 2020) of pandemic telemedicine use; sample data included clinician gender, specialty, census region, and years in practice. Local pandemic conditions were estimated from county-level data on COVID-19 rates at the time of survey response. Data were analyzed in a weighted logistic regression, controlling for county-specific pandemic data, and weighted to account for survey data stratification and nonresponse.
RESULTS:  Over the first 3-4 months of the pandemic, the proportion of physicians reporting use of telemedicine in >30% of visits increased from 29.2% (70/239) to 35.7% (85/238). Relative to primary care, odds of substantial telemedicine use (>30%) both during the first month of the pandemic and in June 2020 were increased among infectious disease and critical care physicians and decreased among hospitalists and emergency medicine physicians. At least minimal prepandemic telemedicine use (odds ratio [OR] 11.41, 95% CI 1.34-97.04) and a high 2-week moving average of local COVID-19 cases (OR 10.16, 95% CI 2.07-49.97) were also associated with substantial telemedicine use in June 2020. There were no significant differences according to clinician gender, census region, or years in practice.
CONCLUSIONS:  Prepandemic telemedicine use, high local COVID-19 case counts, and clinician specialty were associated with higher levels of substantial telemedicine use during the early pandemic response. These results suggest that telemedicine uptake in the face of the pandemic may have been heavily influenced by the level of perceived threat and the resources available for implementation. Such understanding has important implications for reducing burnout and preparation for future public health emergencies.

OBJECTIVE: To explore the relationship between health coaches\' responses to emotional cues/concerns and women\'s subsequent engagement with the health coaching mHealth platform.
METHODS: 24 face-to-face video-mediated initial conversations between participants and their health coaches were coded using the VR-CoDES-P method. Women with high risk of developing Gestational Diabetes Mellitus were selected from the study, based on their engagement with the smartphone health coaching platform. 12 women with very low engagement and 12 women with high engagement were identified.
RESULTS: In interactions with women with high goal engagement, coaches had significantly more counseling codes with prior other codes and no instances of non-explicit response codes that reduce space for further disclosure. Analysis showed that interactions with women with high goal engagement were more frequently met by the coach with affect-acknowledging and empathic responses prior to the counseling speech act.
CONCLUSIONS: High goal engagement among women with Gestational Diabetes Mellitus may appear to be associated with coaches facilitating the frequent use of empathy.
CONCLUSIONS: Findings can draw coaches\' attention to the impact that their counseling has on goal engagement, increasing the opportunity for intervention to be person-centered and effective.

UNASSIGNED: Pollution has emerged as a significant threat to humanity, necessitating a thorough evaluation of its impacts. As a result, various methods for human biomonitoring have been proposed as vital tools for assessing, managing, and mitigating exposure risks. Among these methods, urine stands out as the most commonly analyzed biological sample and the primary matrix for biomonitoring studies.
UNASSIGNED: This review concentrates on exploring the literature concerning residual pesticide determination in urine, utilizing liquid and gas chromatography coupled with mass spectrometry, and its practical applications.
UNASSIGNED: The examination focused on methods developed since 2010. Additionally, applications reported between 2015 and 2022 were thoroughly reviewed, utilizing Web of Science as a primary resource.
UNASSIGNED: Recent advancements in chromatography-mass spectrometry technology have significantly enhanced the development of multi-residue methods. These determinations are now capable of simultaneously detecting numerous pesticide residues from various chemical and use classes. Furthermore, these methods encompass analytes from a variety of environmental contaminants, offering a comprehensive approach to biomonitoring. These methodologies have been employed across diverse perspectives, including toxicological studies, assessing pesticide exposure in the general population, occupational exposure among farmers, pest control workers, horticulturists, and florists, as well as investigating consequences during pregnancy and childhood, neurodevelopmental impacts, and reproductive disorders.
UNASSIGNED: Such strategies were essential in examining the health risks associated with exposure to complex mixtures, including pesticides and other relevant compounds, thereby painting a broader and more accurate picture of human exposure. Moreover, the implementation of integrated strategies, involving international research initiatives and biomonitoring programs, is crucial to optimize resource utilization, enhancing efficiency in health risk assessment.

We examine the relationship between BMI and food purchase behavior using a unique dataset that links individual-level food purchases to health data. We find that individuals with higher BMI are significantly more sensitive to price changes in vice categories but do not show similar sensitivity in comparable nonvice categories. We rely on past literature that defines and identifies vice categories as those that are tempting and purchased impulsively. We explore the effectiveness of a 10% price increase on vice food categories, a hypothetical policy similar in spirit to a fat tax or sugar tax. We predict that such a tax would substantially reduce consumption of these foods, and would be particularly effective in reducing consumption by individuals with higher BMI.

BACKGROUND: Target systolic blood pressure (SBP) levels for older adults with hypertension vary across countries, leading to challenges in determining the appropriate SBP level.
OBJECTIVE: This study aims to identify the optimal SBP level for minimizing all-cause and cardiovascular disease (CVD) mortality in older Korean adults with hypertension.
METHODS: This retrospective cohort study used data from the National Health Insurance Service database. We included older adults aged 65 years or older who were newly diagnosed with hypertension and underwent a National Health Insurance Service health checkup in 2003-2004. We excluded patients who had a history of hypertension or CVD, were not prescribed medication for hypertension, had missing blood pressure or any other covariate values, and had fewer than 2 health checkups during the follow-up period until 2020. We categorized the average SBP levels into 6 categories in 10 mm Hg increments, from <120 mm Hg to ≥160 mm Hg; 130-139 mm Hg was the reference range. Cox proportional hazards models were used to examine the relationship between SBP and all-cause and CVD mortalities, and subgroup analysis was conducted by age group (65-74 years and 75 years or older).
RESULTS: A total of 68,901 older adults newly diagnosed with hypertension were included in this study. During the follow-up period, 32,588 (47.3%) participants had all-cause mortality and 4273 (6.2%) had CVD mortality. Compared to older adults with SBP within the range of 130-139 mm Hg, individuals who fell into the other SBP categories, excluding those with SBP 120-129 mm Hg, showed significantly higher all-cause and CVD mortality. Subgroup analysis showed that older adults aged 65-74 years had higher all-cause and CVD mortality rates according to SBP categories than those aged 75 years or older.
CONCLUSIONS: The SBP levels within the range of 120-139 mm Hg were associated with the lowest all-cause and CVD mortality rates among older Korean adults with hypertension. It is recommended to reduce SBP to <140 mm Hg, with 120 mm Hg as the minimum value for SBP, for older Korean adults with hypertension. Additionally, stricter SBP management is required for adults aged 65-74 years.

暂无摘要。

We investigated the influence of social determinants of health (SDOH), healthcare services, and health behaviors on mental and physical health outcomes of cancer patients between the first winter and the following post-vaccine summer of the COVID-19 pandemic. A three-wave online survey of individuals diagnosed with incident cancer between January 2019 and January 2020 was conducted between November of 2020 and August of 2021 in northeast Ohio. Descriptive analysis and mixed-effect regression analyses were performed. A total of 322 newly diagnosed cancer patients, with 40 African Americans and 282 Whites (215 from metropolitan areas and 67 nonmetropolitan) responded to the survey questions. In Wave 3 ending in August 2021, the survey respondents reported significantly reduced depression (p = .019) on the Hamilton Depression Rating Scale and improved global health (p = .036) on PROMIS. With age, comorbidity, and other demographic and medical variables controlled in the analyses, the feeling of loneliness (p < .001) and crowded living space (p = .001, p = .015) were the two most prominent factors associated with depression, irritability, and poor global health at baseline, with the lowest p values and persistent effect. Self-efficacy of taking preventive measures was associated with reduced depression (p = .001) and improved global health (p = .029). Increasing access to medicine (p < .01) and satisfaction with telehealth appointments (p < .01) were significantly associated with better global health and reduced irritability. Respondents who had private health insurance reported better health than those that had Medicare coverage only (p < .05). This longitudinal, observational study demonstrated the impact of SDOH on health outcomes of cancer patients. Substandard living conditions resulting in loneliness and crowdedness, quality of medical care (e.g., quality telehealth and access to medicine), and personal behaviors (e.g., self-efficacy) were significantly associated with health outcomes in newly diagnosed cancer patients during the pandemic and should be given adequate consideration for the purpose of improving clinical care.

The collection of sexual orientation in routine data, generated either from contacts with health services or in infrastructure data resources designed and collected for policy and research, has improved substantially in the United Kingdom in the last decade. Inclusive measures of gender and transgender status are now also beginning to be collected. This viewpoint considers current data collections, and their strengths and limitations, including accessing data, sample size, measures of sexual orientation and gender, measures of health outcomes, and longitudinal follow-up. The available data are considered within both sociopolitical and biomedical models of health for individuals who are lesbian, gay, bisexual, transgender, queer, or of other identities including nonbinary (LGBTQ+). Although most individual data sets have some methodological limitations, when put together, there is now a real depth of routine data for LGBTQ+ health research. This paper aims to provide a framework for how these data can be used to improve health and health care outcomes. Four practical analysis approaches are introduced-descriptive epidemiology, risk prediction, intervention development, and impact evaluation-and are discussed as frameworks for translating data into research with the potential to improve health.