Browsing by Author "Solmi, Marco"

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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.
Physical multimorbidity and psychosis: comprehensive cross sectional analysis including 242,952 people across 48 low- and middle-income countries
(BMC Medicine, 2016-11-22) Stubbs, Brendon; Koyanagi, Ai; Veronese, Nicola; Vancampfort, Davy; Solmi, Marco; Gaughran, Fiona; Carvalho, André F.; Lally, John; Mitchell, Alex J.; Mugisha, James; Correll, Christoph U.
: In people with psychosis, physical comorbidities, including cardiovascular and metabolic diseases, are highly prevalent and leading contributors to the premature mortality encountered. However, little is known about physical health multimorbidity in this population or in people with subclinical psychosis and in low- and middle-income countries (LMICs). This study explores physical health multimorbidity patterns among people with psychosis or subclinical psychosis. Methods: Overall, data from 242,952 individuals from 48 LMICs, recruited via the World Health Survey, were included in this cross-sectional study. Participants were subdivided into those (1) with a lifetime diagnosis of psychosis (“psychosis”); (2) with more than one psychotic symptom in the past 12 months, but no lifetime diagnosis of psychosis (“subclinical psychosis”); and (3) without psychotic symptoms in the past 12 months or a lifetime diagnosis of psychosis (“controls”). Nine operationalized somatic disorders were examined: arthritis, angina pectoris, asthma, diabetes, chronic back pain, visual impairment, hearing problems, edentulism, and tuberculosis. The association between psychosis and multimorbidity was assessed by multivariable logistic regression analysis. Results: The prevalence of multimorbidity (i.e., two or more physical health conditions) was: controls = 11.4% (95% CI, 11.0–11.8%); subclinical psychosis = 21.8% (95% CI, 20.6–23.0%), and psychosis = 36.0% (95% CI, 32.1–40. 2%) (P < 0.0001). After adjustment for age, sex, education, country-wise wealth, and country, subclinical psychosis and psychosis were associated with 2.20 (95% CI, 2.02–2.39) and 4.05 (95% CI, 3.25–5.04) times higher odds for multimorbidity. Moreover, multimorbidity was increased in subclinical and established psychosis in all age ranges (18–44, 45–64, ≥ 65 years). However, multimorbidity was most evident in younger age groups, with people aged 18–44 years with psychosis at greatest odds of physical health multimorbidity (OR = 4.68; 95% CI, 3.46–6.32).(Continued from previous page) Conclusions: This large multinational study demonstrates that physical health multimorbidity is increased across the psychosis-spectrum. Most notably, the association between multimorbidity and psychosis was stronger among younger adults, thus adding further impetus to the calls for the early intervention efforts to prevent the burden of physical health comorbidity at later stages. Urgent public health interventions are necessary not only for those with a psychosis diagnosis, but also for subclinical psychosis to address this considerable public health problem.