Lydia Poole

Dr. Lydia Poole


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2018 in Journal of Psychosomatic Research
Verified
Journal Article
Open access
LPLydia Poole
Lydia Poole
ASAndrew Steptoe
Andrew Steptoe
To assess the association between depressive symptoms and incident chronic illness burden in prospective longitudinal analyses. We analysed data from 2472 participants (62.88 ± 8.49 years old; 50.8% female) from the English Longitudinal Study of Ageing (ELSA). Depressive symptoms were measured using the Centre for Epidemiological Studies Depression (CES-D) scale at baseline in 2004, and participants were followed up for 10 years. Participants with prevalent illness at baseline (coronary heart disease [CHD], other cardiac illness, stroke, cancer, diabetes/high blood glucose, arthritis, lung disease, osteoporosis and Parkinson's disease) were excluded from models predicting illness burden (the sum of illnesses reported) over follow-up. Linear regression was used controlling for a wide range of covariates. The mean chronic illness burden was 0.57, with 43.1% experiencing at least one incident physical illness. Baseline continuous CES-D score was a significant predictor of incident chronic illness burden up to 10 years later (incident rate ratio = 1.05, 95% confidence intervals = 0.05-0.21, p = .003), independent of sociodemographic, behavioural, cognitive and clinical covariates. Sensitivity analyses excluding participants who developed a chronic illness within the 2 years following baseline corroborated the main results. Depressive symptoms were associated with greater incident chronic illness burden 10 years later. These findings have clinical implications for the treatment of depression in physically healthy older adults.

4 December 2017 in International Journal of Behavioral Medicine
Verified
Journal Article
Open access
PDF file
LPLydia Poole
Lydia Poole
MJMarta Jackowska
Marta Jackowska
Purpose The reasons for the comorbidity between depressed mood and poor sleep are not well understood. Method Participants were 5172 adults aged 50 years and older from the English Longitudinal Study of Ageing. Sleep was measured via self-report and depressive symptoms using the Centre for Epidemiological Studies Depression scale. Results Greater depressive symptoms and sleep complaints were associated with female sex, non-cohabitation, relative poverty, smoking, infrequent physical activity, infrequent alcohol consumption, higher body mass index (BMI), diagnosis of hypertension, coronary heart disease, diabetes/high blood glucose, pulmonary disease, arthritis, and higher levels of fibrinogen and C-reactive protein (all p < 0.05). At a 4-year follow-up, depressive symptoms and sleep complaints were both predicted by baseline depressive symptoms and sleep complaints, relative poverty, smoking, physical inactivity, BMI, and arthritis (all p < 0.05). Conclusion Depressive symptoms and sleep complaints share a range of correlates cross-sectionally and prospectively. These findings highlight the common comorbidity between depressive symptoms and sleep complaints underscoring the need for further research to understand their combined detrimental effect on long-term health and wellbeing.

1 September 2017 in Sleep Medicine
Verified
Journal Article
Open access
MJMarta Jackowska
Marta Jackowska
LPLydia Poole
Lydia Poole
This study investigated whether sleep problems, sleep duration and a combination of short or long sleep with sleep problems were predictive of depressive symptoms six years later. Participants were 4545 men and women aged 50 years or older from the English Longitudinal Study of Ageing. Sleep problems were indexed through self-report enquiring about the most frequent insomnia symptoms including difficulties falling asleep, waking up several times a night and waking up in the morning feeling tired. Sleep duration was ascertained by asking about average sleep in the weeknight. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression scale. Sleep problems were predictive of elevated depressive symptoms at follow-up (odds ratio [OR] = 1.36, 95% confidence interval [CI] = 1.19-1.56). When explored separately, waking up in the morning feeling tired (OR = 1.71, 95% CI = 1.24-2.37) followed by difficulties falling asleep (OR = 1.49, 95% CI = 1.06-2.11) were also predictors of future depressive symptoms. Compared to optimal duration, short (OR = 1.90, 95% CI = 1.34-2.71) but not long sleep hours were also linked to elevated depressive symptoms. Participants reporting short sleep hours combined with high sleep problems also had an elevated risk of depressive symptoms six years later (OR = 1.85, 95% CI = 1.15-3.00). Long sleep combined with high sleep problems was not predictive of depressive symptoms. Short and disturbed sleep and their combination increase the risk of future depressive symptoms in older adults.

30 May 2024 in The Lancet Diabetes & Endocrinology
Verified
Journal Article
Closed access
LPLydia Poole
Lydia Poole
RHRuth A Hackett
Ruth A Hackett

29 May 2018 in Psychological Medicine
Verified
Journal Article
Open access
PDF file
LPLydia Poole
Lydia Poole
MJMarta Jackowska
Marta Jackowska
Background: The independent effects of depressive symptoms and sleep problems for future physical illness risk have yet to be studied systematically across a variety of disease endpoints.Methods: We analysed data from 7395 participants (65.81 ± 9.39 years; 54.8% female) from the English Longitudinal Study of Ageing (ELSA). Baseline was wave 4 and participants were followed up for 6 years until wave 7. Sleep was measured using an adapted version of the Jenkins Sleep Problems questionnaire and depressive symptoms using the Centre for Epidemiological Studies Depression scale. Participants with the illness of interest at baseline [coronary heart disease (CHD), cancer, diabetes/high blood glucose, arthritis] were excluded from models predicting the onset of that illness at follow-up. Logistic regression was used, entering depressive symptoms and sleep problems simultaneously into models controlling for a wide range of covariates.Results: In fully adjusted models depressive symptoms predicted incident CHD (OR 1.11, 95% CI 1.04–1.20, p = 0.004) and diabetes/high blood glucose (OR 1.13, 95% CI 1.04–1.22, p = 0.002) independent of sleep problems; both depressive symptoms (OR 1.10, 95% CI 1.04–1.16, p = 0.002) and sleep problems (OR 1.14, 95% CI 1.02–1.26, p = 0.019) predicted incident arthritis.Conclusions: Sleep problems and depressive symptoms, and a combination of both, were differentially associated with physical illness onset 6 years later. Our findings highlight the importance of taking into account somatic and affective experiences when looking across a variety of different physical illnesses.

1 August 2019 in Brain, Behavior, and Immunity
Verified
Journal Article
Closed access
PFPhilipp Frank
Philipp Frank
AKAradhna Kaushal
Aradhna Kaushal
LPLydia Poole
Lydia Poole
SLSamantha Lawes
Samantha Lawes
TCTrudie Ann Chalder
Trudie Ann Chalder
DCDorina Cadar
Dorina Cadar