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Aims and method Currently, no separate service exists for patients with young-onset dementia in Cambridgeshire. These patients are managed together with late-onset dementia patients within old age psychiatry services. To inform service design, we sought to characterise young-onset dementia patients in our population. We first analysed service-level data and supplemented this with a detailed case review of 90 patients. Results Young-onset dementia remains a relatively rare condition. Only a small proportion of those referred for assessment receive a diagnosis of dementia. Data collected on presenting complaints, comorbidities, medication and Health of the Nation Outcome Scales scores associated young-onset dementia with a greater incidence of depression than late-onset dementia. Outcomes in the two groups did not appear to differ. Clinical implications The data presented here do not suggest a need to create a separate service. Practitioners should be aware of the increased incidence of depression observed in this group.

A comprehensive understanding of agroforestry adoption across a landscape is critical for effective agroforestry planning. The objectives of this study are to identify the sources of agroforestry data that can be used in the United States (U.S.) for national inventory purposes, discuss the possible uses and nuances of the datasets, synthesize the data to create regional maps, and provide recommendations for improving future agroforestry inventory efforts. To accomplish this, we queried multiple government databases containing agroforestry inventory data and spoke with agency representatives with in-depth knowledge of each dataset. Data from federal conservation programs were found to be useful for assessing practice-level adoption through a conservation program but not for general inventory use, since agroforestry systems can be established without federal assistance. For inventory purposes, the 2017 U.S. Census of Agriculture was found to be the most comprehensive dataset, with 30,853 farm operations reporting agroforestry use, representing 1.5% of all U.S. farms. However, this value is likely an underestimate, due to respondent unfamiliarity with agroforestry terminology. We propose several strategies to improve the accuracy of future agroforestry surveys, since a greater understanding of agroforestry adoption will influence decisions related to agricultural policies, technical assistance, and planning of these integrated systems.

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