Time geography: a model for psychiatric life charting?

Journal of Psychiatric and Mental Health Nursing (Impact Factor: 0.8). 04/2007; 14(3):250 - 257. DOI: 10.1111/j.1365-2850.2007.01071.x

ABSTRACT Since many years, life charting has been used to describe the life course and life events of psychiatric patients. The aim of the present study was to describe and evaluate time geographic life charts of 11 former psychiatric patients in order to promote systematic descriptions of their life events over time. Information on all events which was gathered from the life charts was analysed by manifest content analysis and reduced to four categories: information received by asking only about moves, social capacity, predisposing life events and/or stressful as well as precipitating life events. Our findings showed that this kind of life charts offered a comprehensive and structured picture. They describe a detailed life situation from one time period to another, where geographical sites serve as anchors. The patients expressed satisfaction with this method of combining an interview with a time geographic life line.

1 Bookmark
  • [Show abstract] [Hide abstract]
    ABSTRACT: ACCESSIBLE SUMMARY: •  A primary aim of suicide research is to gain a profound knowledge of the suicidal individual so preventive strategy can be formulated. •  Time-geographic life charting used in combination with the pattern of coping strategies may be helpful when assessing risk of suicidal behaviour. •  It can also be a therapeutic intervention to look back and to reflect coping styles. ABSTRACT: The aim of this study is to explore whether a time-geographic life charting, combined with a survey of a person's coping capacities over time, elucidates the pathway to suicidal behaviour, and therefore could be useful in suicide prevention. Twenty-three patients were recruited shortly after a suicide attempt. A time-geographic life charting and COPE inventory ratings were used separately and in combination. According to COPE ratings, the participants could be divided into three groups using different coping strategies: (1) adaptive, (2) maladaptive, and (3) both adaptive and maladaptive coping. Within these subgroups, three different pathways to suicidal behaviour were described and illustrated. We conclude that time-geographic life charting used in combination with the pattern of coping strategies may be helpful when assessing risk of suicidal behaviour, because this approach strengthens the comprehensive picture of the patient's life situation.
    Journal of Psychiatric and Mental Health Nursing 05/2012; · 0.80 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Children born into poverty in the United States are at higher risk for a number of nonresilient outcomes. An extensive body of work examines and then confirms the qualities of resilient children, emphasizing the importance of four social-psychological characteristics—social competence, problem solving, autonomy, and sense of purpose—and three categories of protective environmental factors—family, school, and community. Extant research has done an excellent job of identifying the protective factors, but more work is needed to understand the processes through which the protective factors influence positive outcomes. Through life-history interviews with 48 educationally resilient African American adults who were “at-risk” children, this study highlights the factors that facilitated respondents' social mobility. By using an in-depth qualitative method grounded in sociological theory, it adds to the literature that identifies what are the protective factors, by elucidating the processes by which the protective factors operated in the lives of resilient adolescents. In this way it provides a view toward how and why the protective factors facilitate resilient outcomes, and does so through a connection with Bourdieu's habitus and, specifically, how accessing the interactional style of the middle class fostered resilient outcomes for the study's respondents.
    Journal of Adolescent Research 01/2009; 24(1):114-141. · 0.87 Impact Factor

Full-text (2 Sources)

Available from
Oct 14, 2014