Clinical value of the Patient Global Assessment with Ankylosing Spondylitis: A cross-sectional study.

To analyze the factors associated with the overall patient condition and explore the clinical value of the Patient Global Assessment (PGA) index for assessing the disease state in patients with Ankylosing Spondylitis (AS). This cross-sectional study used a standardized questionnaire to record the basic information of patients with AS. The collected data included the Ankylosing Spondylitis Disease Activity Score (ASDAS)-C-reactive protein (CRP), ASDAS-erythrocyte sedimentation rate (ESR), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), PGA, and other clinical indicators. Statistical analysis was performed using SPSS 25.0 software, and the scale was assessed for retest reliability and structural validity. The Kruskal-Wallis H test and Spearman or Pearson correlation analysis were used to analyze the factors influencing PGA scores. The receiver operator characteristic (ROC) curve was used to identify the cutoff value of the PGA for predicting disease activity in AS. The patient age, disease duration, family history, and history of ocular inflammation significantly differed between PGA groups (P < .05). The median PGA was significantly lower in patients with disease remission than in those with disease activity (P < .01). The various clinical indexes significantly differed between PGA groups (P < .01). The PGA was significantly correlated with various clinical indicators (P < .01). The area under the ROC curve (AUC) for disease activity based on the ASDAS-CRP was 0.743 (P < .01) with a PGA cutoff value of 1.38; the AUC for disease activity based on the BASDAI was 0.715 (P < .01) with a PGA cutoff value of 1.63. The PGA was significantly correlated with patient-reported outcomes, disease activity, function, and psychological status, and may indicate the level of inflammation in patients with AS. A PGA of around 1.5 indicates disease activity.

An ecosystem service perspective on urban nature, physical activity, and health.

Nature underpins human well-being in critical ways, especially in health. Nature provides pollination of nutritious crops, purification of drinking water, protection from floods, and climate security, among other well-studied health benefits. A crucial, yet challenging, research frontier is clarifying how nature promotes physical activity for its many mental and physical health benefits, particularly in densely populated cities with scarce and dwindling access to nature. Here we frame this frontier by conceptually developing a spatial decision-support tool that shows where, how, and for whom urban nature promotes physical activity, to inform urban greening efforts and broader health assessments. We synthesize what is known, present a model framework, and detail the model steps and data needs that can yield generalizable spatial models and an effective tool for assessing the urban nature-physical activity relationship. Current knowledge supports an initial model that can distinguish broad trends and enrich urban planning, spatial policy, and public health decisions. New, iterative research and application will reveal the importance of different types of urban nature, the different subpopulations who will benefit from it, and nature's potential contribution to creating more equitable, green, livable cities with active inhabitants.