The Genetic Links to Anxiety and Depression (GLAD) Study: Online recruitment into the largest recontactable study of depression and anxiety

Davies, Molly R.; Kalsi, Gursharan; Armour, Chérie; Jones, Ian; McIntosh, Andrew M.; Smith, Daniel J.; Walters, James; Bradley, John R.; Kingston, Nathalie; Ashford, Sofie; Beange, Ioana; Brăilean, Anamaria; Cleare, Anthony J.; Coleman, Jonathan R. I.; Curtis, Charles; Curzons, Susannah C.B.; Davis, Katrina; Dowey, Le Roy C.; Gault, Victor; Goldsmith, Kimberley; Bennett, Megan Hammond; Hirose, Yoriko; Hotopf, Matthew; Hübel, Christopher; Kanz, Carola; Leng, Jennifer; Lyall, Donald M.; Mason, Bethany D.; McAtarsney-Kovacs, Monika; Monssen, Dina; Moulton, Alexei; Ovington, Nigel; Palaiologou, Elisavet; Pariante, Carmine; Parikh, Shivani; Peel, Alicia J.; Price, Ruth K.; Rimes, Katharine A.; Rogers, H. J.; Sambrook, Jennifer; Skelton, Megan; Spaul, Anna; Suarez, Eddy L.A.; Sykes, Bronte L.; Thomas, Keith; Young, Allan H.; Vassos, Evangelos; Veale, David; White, Katie M; Wingrove, Janet; Eley, Thalia C.; Breen, Gerome

doi:10.1016/j.brat.2019.103503

Cited by 53 publications

(56 citation statements)

References 65 publications

(75 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The other six studies covered a range of ages. These age-heterogenous studies were Understanding Society (USOC 17 ), the English Longitudinal Study of Ageing (ELSA 18 ), Generation Scotland: the Scottish Family Health Study, 19,20 the UK Adult Twin Registry (TWINSUK 21 ), the Genetic Links to Anxiety and Depression study (GLAD 22 ; a cohort of those with experience of anxiety and/or depression) and the parents of the ALSPAC G1 cohort (ALSPAC G0 23 ).…”

Section: Methodsmentioning

confidence: 99%

Pre-pandemic mental health and disruptions to healthcare, economic and housing outcomes during the COVID-19 pandemic: evidence from 12 UK longitudinal studies

et al. 2021

Self Cite

View full text Add to dashboard Cite

Background The COVID-19 pandemic has disrupted lives and livelihoods, and people already experiencing mental ill health may have been especially vulnerable. Aims Quantify mental health inequalities in disruptions to healthcare, economic activity and housing. Method We examined data from 59 482 participants in 12 UK longitudinal studies with data collected before and during the COVID-19 pandemic. Within each study, we estimated the association between psychological distress assessed pre-pandemic and disruptions since the start of the pandemic to healthcare (medication access, procedures or appointments), economic activity (employment, income or working hours) and housing (change of address or household composition). Estimates were pooled across studies. Results Across the analysed data-sets, 28% to 77% of participants experienced at least one disruption, with 2.3–33.2% experiencing disruptions in two or more domains. We found 1 s.d. higher pre-pandemic psychological distress was associated with (a) increased odds of any healthcare disruptions (odds ratio (OR) 1.30, 95% CI 1.20–1.40), with fully adjusted odds ratios ranging from 1.24 (95% CI 1.09–1.41) for disruption to procedures to 1.33 (95% CI 1.20–1.49) for disruptions to prescriptions or medication access; (b) loss of employment (odds ratio 1.13, 95% CI 1.06–1.21) and income (OR 1.12, 95% CI 1.06 –1.19), and reductions in working hours/furlough (odds ratio 1.05, 95% CI 1.00–1.09) and (c) increased likelihood of experiencing a disruption in at least two domains (OR 1.25, 95% CI 1.18–1.32) or in one domain (OR 1.11, 95% CI 1.07–1.16), relative to no disruption. There were no associations with housing disruptions (OR 1.00, 95% CI 0.97–1.03). Conclusions People experiencing psychological distress pre-pandemic were more likely to experience healthcare and economic disruptions, and clusters of disruptions across multiple domains during the pandemic. Failing to address these disruptions risks further widening mental health inequalities.

show abstract

Section: Methodsmentioning

confidence: 99%

Pre-pandemic mental health and disruptions to healthcare, economic and housing outcomes during the COVID-19 pandemic: evidence from 12 UK longitudinal studies

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The use of a face mask ( 2 ) and protective measures during the workplace are protective factors for mental health ( 3 ). Anxiety and related disorders (such as posttraumatic stress disorder, and obsessive-compulsive disorder) can be seen due to stressful life events, and they are prevalent, debilitating, and costly ( 4 , 5 ). The outbreak of COVID-19 has been reported to cause mental health problems among the people in China ( 6 ), Japan ( 7 ), and Wuhan ( 8 ).…”

Section: Introductıonmentioning

confidence: 99%

A Survey of Attitudes, Anxiety Status, and Protective Behaviors of the University Students During the COVID-19 Outbreak in Turkey

et al. 2020

View full text Add to dashboard Cite

A new coronavirus disease began on 31 December 2019 in Wuhan/China and has caused a global outbreak in only a few months resulting in millions being infected. In conjunction with its’ physical side effects, this outbreak also has a tremendous impact on psychology health. This study aims to assess the spread and frequency of protective behaviors, emotional and anxiety status among the Turkish population using a rapid survey during the COVID-19 outbreak. An online questionnaire was administered to 3,040 respondents between the ages of 18–30. This cross-sectional study was conducted from Apr 2 to Apr 8, 2020. While questions related to the outbreak were created by members of our neuroscience department, the Turkish version of the Abbreviated Beck Anxiety Inventory was included in our survey to measure anxiety status. Pearson correlation coefficient was used for statistical analysis. We found that 90% of respondents report washing hands more frequently since the outbreak while %50 wear protective gloves. Respondents were more fearful of their relatives catching the coronavirus disease than they were of themselves catching it. In response to the question, “What are your emotions about the coronavirus?”, 38% responded with “worried”. There was a significant correlation between anxiety status and consumption information from the media about COVID-19. Individual early protection behaviors might slow transmission of the outbreak. Our results showed that the behavior of the participants has changed in predictable ways during the COVID-19 outbreak. Understanding how emotional responses such as fear and anxiety status vary and the specific factors that mediate it may help with the design of outbreak control strategies.

show abstract

“…The GLAD Study is an ongoing study of anxiety and depression (Davies et al, 2019 GAD, social anxiety disorder, panic disorder, agoraphobia, social phobia, and specific phobia are eligible. Participants complete the online questionnaire and donate a saliva sample.…”

Section: Methodsmentioning

confidence: 99%

Age and sex‐related variability in the presentation of generalized anxiety and depression symptoms

Thompson

Hübel

Cheesman

et al. 2021

Depression and Anxiety

Self Cite

View full text Add to dashboard Cite

Background: Generalized anxiety and depression are extremely prevalent and debilitating. There is evidence for age and sex variability in symptoms of depression, but despite comorbidity it is unclear whether this extends to anxiety symptomatology. Studies using questionnaire sum scores typically fail to address this phenotypic complexity. Method: We conducted exploratory and confirmatory factor analyses on Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) items to identify latent factors of anxiety and depression in participants from the Genetic Links to Anxiety and Depression Study (N = 35,637; 16-93 years). We assessed ageand sex-related variability in latent factors and individual symptoms using multiple logistic regression. Results: Four factors of mood, worry, motor, and somatic symptoms were identified (comparative fit index [CFI] = 0.99, Tucker-Lewis Index [TLI] = 0.99, root mean square error of approximation [RMSEA] = 0.07, standardized root mean square residuals [SRMR] = 0.04). Symptoms of irritability (odds ratio [OR] = 0.81) were most strongly associated with younger age, and sleep change (OR = 1.14) with older age.Males were more likely to report mood and motor symptoms (p < .001) and females to report somatic symptoms (p < .001). Conclusion:Significant age and sex variability suggest that classic diagnostic criteria reflect the presentation most commonly seen in younger males. This study provides avenues for diagnostic adaptation and factor-specific interventions.

show abstract

The Genetic Links to Anxiety and Depression (GLAD) Study: Online recruitment into the largest recontactable study of depression and anxiety

Cited by 53 publications

References 65 publications

Pre-pandemic mental health and disruptions to healthcare, economic and housing outcomes during the COVID-19 pandemic: evidence from 12 UK longitudinal studies

Pre-pandemic mental health and disruptions to healthcare, economic and housing outcomes during the COVID-19 pandemic: evidence from 12 UK longitudinal studies

A Survey of Attitudes, Anxiety Status, and Protective Behaviors of the University Students During the COVID-19 Outbreak in Turkey

Age and sex‐related variability in the presentation of generalized anxiety and depression symptoms

Contact Info

Product

Resources

About