Literature DB >> 22018393

The characteristics of anxiety and depression symptom severity in older adults living in public housing.

Adam Simning1, Yeates Conwell, Susan G Fisher, Thomas M Richardson, Edwin van Wijngaarden.   

Abstract

BACKGROUND: Anxiety and depression are common in older adult public housing residents and frequently co-occur. To understand anxiety and depression more fully in this socioeconomically disadvantaged population, this study relies on the Social Antecedent Model of Psychopathology to characterize anxiety and depression symptoms concurrently.
METHODS: 190 public housing residents aged 60 years and older in Rochester, New York, participated in a research interview during which they reported on variables across the six stages of the Social Antecedent Model. GAD-7 and PHQ-9 assessed anxiety and depression symptoms, respectively.
RESULTS: In these older adult residents, anxiety and depression symptom severity scores were correlated (r = 0.61; p < 0.001). Correlates of anxiety and depression symptom severity were similar for both outcomes and spanned the six stages of the Social Antecedent Model. Multivariate linear regression models identified age, medical comorbidity, mobility, social support, maladaptive coping, and recent life events severity as statistically significant correlates. The regression models accounted for 43% of anxiety and 48% of depression symptom variability.
CONCLUSIONS: In public housing residents, late-life anxiety and depression symptoms were moderately correlated. Anxiety symptom severity correlates were largely consistent with those found for depression symptom severity. The broad distribution of correlates across demographic, social, medical, and behavioral domains suggests that the context of late-life anxiety and depression symptomatology in public housing is complex and that multidisciplinary collaborative care approaches may be warranted in future interventions.

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Mesh:

Year:  2011        PMID: 22018393      PMCID: PMC3752311          DOI: 10.1017/S1041610211001979

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


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