Browsing by Author "Schofield, Patricia"

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    The epidemiology of back pain and its relationship with depression, psychosis, anxiety, sleep disturbances, and stress sensitivity: data from 43 low- and middle-income countries
    (Elsevier: General Hospital Psychiatry, 2016-12) Stubbs, Brendon; Koyanagi, Ai; Thompson, Trevor; Veronese, Nicola; Carvalho, Andre F.; Solomi, Marco; Mugisha, James; Schofield, Patricia; Cosco, Theodore; Wilson, Nicky; Vancampfort, Davy
    Back pain (BP) is a leading cause of global disability. However, population-based studies investigating its impact on mental health outcomes are lacking, particularly among low- and middle-income countries (LMICs). Thus, the primary aims of this study were to: (1) determine the epidemiology of BP in 43 LMICs; (2) explore the relationship between BP and mental health (depression spectrum, psychosis spectrum, anxiety, sleep disturbances and stress). Methods Data on 190,593 community-dwelling adults aged ≥18 years from the World Health Survey (WHS) 2002–2004 were analyzed. The presence of past-12 month psychotic symptoms and depression was established using questions from the Composite International Diagnostic Interview. Anxiety, sleep problems, stress sensitivity, and any BP or chronic BP (CBP) during the previous 30 days were also self-reported. Multivariable logistic regression analyses were undertaken. Results The overall prevalence of any BP and CBP were 35.1% and 6.9% respectively. Significant associations with any BP were observed for subsyndromal depression [OR (odds ratio) = 2.21], brief depressive episode (OR = 2.64), depressive episode (OR = 2.88), psychosis diagnosis with symptoms (OR = 2.05), anxiety (OR = 2.12), sleep disturbance (OR = 2.37) and the continuous variable of stress sensitivity. Associations were generally more pronounced for chronic BP. Conclusion Our data establish that BP is associated with elevated mental health comorbidity in LMICs. Integrated interventions that address back pain and metal health comorbidities might be an important next step to tackle this considerable burden.
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    Pain and severe sleep disturbance in the general population: primary data and meta-analysis from 240,820 people across 45 low- and middle-income countries
    (Elsevier: General Hospital Psychiatry, 2018-08) Stubbs, Brendon; Vancampfort, Davy; Thompson, Trevor; Veronese, Nicola; Carvalho, Andre F.; Solmi, Marco; Mugisha, James; Schofield, Patricia; Prina, A.Matthew; Smith, Lee; Koyanagi, Ai
    Pain and sleep disturbances are widespread, and are an important cause of a reduced quality of life. Despite this, there is a paucity of multinational population data assessing the association between pain and sleep problems, particularly among low- and middle-income countries (LMICs). Therefore, we investigated the relationship between pain and severe sleep disturbance across 45 LMICs. Method Community-based data on 240,820 people recruited via the World Health Survey were analyzed. Multivariable logistic regression analyses adjusted for multiple confounders were performed to quantify the association between pain and severe sleep problems in the last 30 days. A mediation analysis was conducted to explore potential mediators of the relationship between pain and severe sleep disturbance. Results The prevalence of mild, moderate, severe, and extreme levels of pain was 26.0%, 16.2%, 9.1%, and 2.2% respectively, whilst 7.8% of adults had severe sleep problems. Compared to those with no pain, the odds ratio (OR, 95% CI) for severe sleep problems was 3.65 (3.24–4.11), 9.35 (8.19–10.67) and 16.84 (13.91–20.39) for those with moderate, severe and extreme pain levels respectively. A country wide meta-analysis adjusted for age and sex demonstrated a significant increased OR across all 45 countries. Anxiety, depression and stress sensitivity explained 12.9%, 3.6%, and 5.2%, respectively, of the relationship between pain and severe sleep disturbances. Conclusion Pain and sleep problems are highly co-morbid across LMICs. Future research is required to better understand this relationship. Moreover, future interventions are required to prevent and manage the pain and sleep disturbance comorbidity.