The spectrum of worry in the community-dwelling elderly.

OBJECTIVES: In this study, we examine the prevalence and distribution of worry, its content, and its associations with quality of life and depression, based on a large sample of community-dwelling elderly. We will attempt to distinguish between pathological and non-pathological worry based on these associations. DESIGN: Community survey. SETTING: Inner-city population. PARTICIPANTS: A total of 2136 people aged between 65 and 96, of whom 66% were women, were recruited through general practitioners and interviewed in their own homes. MEASUREMENTS: The GMS-AGECAT structured psychiatric interview was used to rate symptoms which were classified into five levels of severity of worry ranging from simple, non-excessive to generalised anxiety disorder (GAD). RESULTS: In this study, 79% of the participants reported worrying, 37% worrying excessively, while 20% reported excessive, uncontrollable worry and 6.3% met criteria for GAD. Prevalence of all types of worry declined with age and was lower in men. The prevalence of depressed mood was similar in those without worry and those with non-severe worry (Wald post hoc test, p = 0.06) but rose significantly with each level of severe worry (Wald post hoc tests, all p < 0.05). Major depressive disorder was absent in those who did not worry, and had a prevalence of only 0.2% in those with non-severe worry (p = 0.552, Fisher's exact test). It has a significantly elevated prevalence at all levels of excessive worry, and a significantly higher prevalence in those with GAD. All levels of excessive worry were associated with reduced quality of life. CONCLUSION: Severe worry is highly prevalent in the elderly; most severe worriers do not meet criteria for GAD, but have a reduced quality of life and an increased prevalence of depression.

Late life depression: a comparison of risk factors and symptoms according to age of onset in community dwelling older adults.

BACKGROUND: It has been reported that late onset depression is more frequently associated with acquired organic pathology and that patients are less likely to report a family history of depression. Differences in phenomenology according to age of onset have been described although these have not been consistently replicated. The majority of these studies have been in hospital populations. The aim of this study is to address this question in a sample of community dwelling older adults. METHODS: 89 subjects with GMS-AGECAT depression were identified from a sample of 1231 community dwelling adults aged 65 years and over. Subjects were analysed across a range of aetiological and phenomenological variables according to age of onset of first depressive episode. RESULTS: Subjects with late onset depression (≥ 60) were significantly less likely to report a family history of depression, were less likely to report previous hospitalisation for depression and had greater cognitive impairment. Late onset subjects were also less likely to report feelings of guilt or thoughts that life was not worth living in the previous month. CONCLUSION: While we found that patients with late onset depression differed from early onset patients according to certain aetiological risk factors, we did not find a distinctive profile of depressive symptomatology which might be considered clinically useful at an individual level. These findings are consistent with studies based in hospital populations.

Loneliness, social support networks, mood and wellbeing in community-dwelling elderly.

OBJECTIVE: Both loneliness and social networks have been linked with mood and wellbeing. However, few studies have examined these factors simultaneously in community-dwelling participants. The aim of this study was to examine the relationship between social network, loneliness, depression, anxiety and quality of life in community dwelling older people living in Dublin. METHODS: One thousand two hundred and ninety-nine people aged 65 and over, recruited through primary care practices, were interviewed in their own homes using the GMS-AGECAT. Social network was assessed using Wenger's typology. RESULTS: 35% of participants were lonely, with 9% describing it as painful and 6% as intrusive. Similarly, 34% had a non-integrated social network. However, the two constructs were distinct: 32% of participants with an integrated social network reported being lonely. Loneliness was higher in women, the widowed and those with physical disability and increased with age, but when age-related variables were controlled for this association was non-significant. Wellbeing, depressed mood and hopelessness were all independently associated with both loneliness and non-integrated social network. In particular, loneliness explained the excess risk of depression in the widowed. The population attributable risk (PAR) associated with loneliness was 61%, compared with 19% for non-integrated social network. Taken together they had a PAR of 70% CONCLUSIONS: Loneliness and social networks both independently affect mood and wellbeing in the elderly, underlying a very significant proportion of depressed mood.

Co-morbid and socio-demographic factors associated with cognitive performance in an elderly community dwelling Irish population.

BACKGROUND: Epidemiological studies suggest an association between health factors and dementia. The impact of these factors on the cognitive performance of the elderly population is unclear. Possible correlates of poor cognitive performance in a community dwelling elderly Irish population were examined. METHODS: Subjects were from a sample of individuals over 65 years agreeable to interview using the Geriatric Mental State (GMS)-Automated Geriatric Examination for Computed Assisted Taxonomy (AGECAT) package conducted at the subject's home. Associations between patient profiles and Mini Mental State Examination (MMSE) score were investigated in a multivariate model. RESULTS: There were 793 subjects, 528 (66.6%) female with mean (s.d.) age 74.8 (6.7) yrs. Mean MMSE score was 26.5 (3.3). 169 (21.3%) were current smokers, 198 (25%) ex-smokers. Two hundred and twenty-four (28.3%) had a history of hypertension, 85 (10.7%) case level anxiety or depression, 51 (6.4%) stroke, ten0 (1.3%) epilepsy, nine (1.1%) Parkinson's disease and 29 (3.7%) dementia. Two hundred and fifty-five (32.2%) subjects were on psychotropic medications. Factors associated with MMSE score included age (p < or = 0.0001), diagnosis of dementia (p < or = 0.0001), socioeconomic group (p < or = 0.0001), education (p < or = 0.0001), previous stroke (p = 0.0013) and use of psychotropic medication (p = 0.03). Case level anxiety or depression (p = 0.99), Parkinson's disease (p = 0.52), epilepsy (p = 0.26), smoking status (p = 0.99) and hypertension (p = 0.34) were not found to be associated with cognitive performance. CONCLUSION: Factors associated with cognitive performance included age, socioeconomic group, education, previous stroke and use of psychotropic medication. These factors should be adjusted for in studies assessing cognition in this population. Stroke prevention strategies and avoidance of psychotropic medication may benefit cognitive performance.