Drug use trends for people entering county-funded treatment programs from 2001 through 2005 were investigated. The sample was drawn from outpatient counseling, residential treatment, and daycare habilitative programs. Findings center on the rising number of admissions to treatment programs for primary methamphetamine (MA) use, with a focus on participant gender, age, and race/ethnicity. Additional participant characteristics, such as referral source, employment, housing, and health status were also briefly explored. This investigation found that the percentage of admissions to treatment programs for primary MA use has substantially increased in Los Angeles County each year from 2001 through 2005. The groups most affected were young people of Asian, Latino, Native American, and White descent. Additionally, it was determined that women were more likely to enter treatment for primary MA use (relative to other drugs) than were males. National implications of these findings, their limitations, and directions for future research are discussed.
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http://dx.doi.org/10.1080/02791072.2007.10399899 | DOI Listing |
Sci Rep
January 2025
State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China.
Litterfall load is crucial in maintaining ecosystem health, controlling wildfires, and estimating carbon stock in arid regions. However, there is a lack of spatiotemporal analysis of litterfall in arid riparian forests. This study aims to estimate Litterfall load using a BP neural network based on vegetation indices from Landsat 5 and 8 satellite images, litterfall inventory data, slope, and distance to major river tributaries.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
College of Science, Inner Mongolia University of Technology, Hohhot, 015000, China.
Climate change, driven by carbon emissions, has emerged as a pressing global ecological and environmental challenge. Here, we leverage the panel data of five provinces and above prefecture-level cities in the middle and lower reaches of the Yellow River Basin to estimate the agricultural carbon emissions (CEs), carbon sinks (CSs), carbon compensation rate (CCR), and carbon compensation potential (CCP) from 2001 to 2022 and investigate the spatiotemporal evolution characteristics for this region. We propose an improved GLM-stacking ensemble learning method for CE prediction with limited sample data.
View Article and Find Full Text PDFActa Derm Venereol
January 2025
Technical University of Munich, TUM School of Medicine and Health, Department of Dermatology and Allergy, Munich, Germany; Division of Dermatology and Venereology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
The comorbidity cycle between psoriasis and addictions remains unclear. The study aimed to investigate the cumulative incidence of addictions in psoriasis patients and controls in the Stockholm Psoriasis Cohort (SPC). The SPC is an observational cohort study that enrolled psoriasis patients between 2001 and 2005 and matched controls using the Swedish Total Population Register.
View Article and Find Full Text PDFAm J Ind Med
December 2024
Division of Occupational, Environmental, and Climate Medicine, University of California San Francisco, San Francisco, California, USA.
Zhonghua Liu Xing Bing Xue Za Zhi
December 2024
Institute for AIDS/STD Prevention and Control, Henan Provincial Center for Disease Control and Prevention, Zhengzhou450016, China.
To identify the spatial clustering and its temporal trends among newly reported HIV/AIDS cases in Henan Province during 1995-2020, and to provide evidence for strategies on prevention and control of the disease. Information about newly reported HIV/AIDS cases in Henan between 1995 and 2020 were obtained from China Information System for Disease Control and Prevention and to describe their demographic characteristics, spatial autocorrelation and changing trends. This program was conducted at county level, using the ArcGIS 10.
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