Fall to Pieces: A Memoir of Drugs, Rock 'n' Roll, and Mental by Mary Forsberg Weiland, Larkin Warren

By Mary Forsberg Weiland, Larkin Warren

Fall to Pieces is a beautifully written, visceral, curler coaster trip within bipolar illness, rock ’n’ roll, celebrity tradition, and the realm of modeling. Mary Forsberg Weiland, ex-wife of the overdue Scott Weiland, entrance guy for Stone Temple Pilots and Velvet Revolver, tells a harrowing real tale of depression, drug habit, and psychological sickness with candor and, frequently, humor. Co-written with veteran journalist Larkin Warren, Fall to Pieces is a blistering, eye-opening memoir of Hollywood meltdown within the bestselling vein of Tatum O’Neal’s A Paper Life and Valerie Bertinelli’s Losing It.

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Extra resources for Fall to Pieces: A Memoir of Drugs, Rock 'n' Roll, and Mental Illness

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For example, the analyses on diabetes depended on the question: Have you ever had high sugar or diabetes? It must be assumed that the diabetes is of the adult-onset type, because all onsets occurred after age 30 years. ) At the baseline, the question about the heart was: Have you ever had heart problems? In the follow-up, a specific question on heart attacks was asked, but it is not perfectly clear that subjects know when they have had a heart attack. ) The question at baseline on cancer was: Have you ever had cancer?

1992), and at the Baltimore site, from baseline interview to 13year follow-up (Badawi et al. 1999). Yet psychopathology was not as strong a predictor of attrition as many had predicted, as shown in Table 2–1, which compares results for nine disorders from the four-site follow-up after 1 year (Eaton et al. 1992) with the Baltimore 13-year follow-up (Badawi et al. 1999). There was not a single significant predictor of refusal to participate in the interview. 5 Note. 0. *Baseline N of 10,167; odds ratio adjusted for site, gender, age, race, education, marital status, and language of interview (Eaton et al.

001, suggesting that there was a concurrent association between medical and psychiatric disorder that exceeded chance. However, our interest in this chapter is in prediction over time. We therefore ran two sets of models similar to those whose results are shown in Table 1–4; first we predicted the medical conditions from the psychiatric ones, and then we predicted the psychiatric conditions from the medical ones. In each analysis, we controlled for current comorbidity. Details of all these analyses can be obtained from the first author (Costello).

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