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Recent years have seen a growth in research on retirement/lifestyle migration to Spain, however this has tended to focus on the reasons for moving, as well as the lifestyles adopted as part of a healthy and active retirement. However, ageing in Spain can bring challenges as a person's resources for independent living diminish. This paper draws on narrative interviews with vulnerable older British people in Spain, focusing on those who have encountered a severe decline in health, are frail and in need of care. It looks at the formal and informal networks and agencies that support these individuals, in particular the resources and strategies they employ to access care. Drawing on a framework of care provision developed by Glucksmann and Lyons, four broad modes of provision for old age care used by older British people in Spain are identified: state/public, family/community, voluntary/not-for-profit and market/for-profit. The paper argues that there are language, cultural, spatial and financial barriers when accessing care in Spain as an older British citizen. It is concluded that there are some frail, vulnerable people that may fall through a support gap, whereby they are no longer the responsibility of UK welfare services, yet not fully recognised in their new country of residence, and asks if more should be done to support this population. [ABSTRACT FROM PUBLISHER]

BackgroundThere are no risk models for the prediction of anxiety that may help in prevention. We aimed to develop a risk algorithm for the onset of generalized anxiety and panic syndromes.MethodFamily practice attendees were recruited between April 2003 and February 2005 and followed over 24 months in the UK, Spain, Portugal and Slovenia (Europe4 countries) and over 6 months in The Netherlands, Estonia and Chile. Our main outcome was generalized anxiety and panic syndromes as measured by the Patient Health Questionnaire. We entered 38 variables into a risk model using stepwise logistic regression in Europe4 data, corrected for over-fitting and tested it in The Netherlands, Estonia and Chile.ResultsThere were 4905 attendees in Europe4, 1094 in Estonia, 1221 in The Netherlands and 2825 in Chile. In the algorithm four variables were fixed characteristics (sex, age, lifetime depression screen, family history of psychological difficulties); three current status (Short Form 12 physical health subscale and mental health subscale scores, and unsupported difficulties in paid and/or unpaid work); one concerned country; and one time of follow-up. The overall C-index in Europe4 was 0.752 [95% confidence interval (CI) 0.724–0.780]. The effect size for difference in predicted log odds between developing and not developing anxiety was 0.972 (95% CI 0.837–1.107). The validation of predictA resulted in C-indices of 0.731 (95% CI 0.654–0.809) in Estonia, 0.811 (95% CI 0.736–0.886) in The Netherlands and 0.707 (95% CI 0.671–0.742) in Chile.ConclusionsPredictA accurately predicts the risk of anxiety syndromes. The algorithm is strikingly similar to the predictD algorithm for major depression, suggesting considerable overlap in the concepts of anxiety and depression. [ABSTRACT FROM PUBLISHER]