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      Association of Urbanicity With Psychosis in Low- and Middle-Income Countries

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          Abstract

          <p class="first" id="d3647843e338">This cross-sectional epidemiologic study investigates whether urban residence is associated with greater odds for psychosis in low- and middle-income countries among respondents to the World Health Organization World Health Survey. </p><div class="section"> <a class="named-anchor" id="ab-yoi180021-1"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e344">Question</h5> <p id="d3647843e346">Is urban living associated with elevated odds for psychotic experiences or psychotic disorder in low- and middle-income countries? </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-2"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e349">Findings</h5> <p id="d3647843e351">In this cross-sectional epidemiological study of 42 countries and 215 682 participants, urban residence was not associated with increased odds of psychotic experiences or psychotic disorders. </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-3"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e354">Meaning</h5> <p id="d3647843e356">The association between urban living and psychosis, widely replicated in high-income countries, may not generalize to low- and middle-income countries, where 80% of the world’s population resides. </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-4"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e360">Importance</h5> <p id="d3647843e362">Urban residence is one of the most well-established risk factors for psychotic disorder, but most evidence comes from a small group of high-income countries. </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-5"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e365">Objective</h5> <p id="d3647843e367">To determine whether urban living is associated with greater odds for psychosis in low- and middle-income countries (LMICs). </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-6"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e370">Design, Setting, and Participants</h5> <p id="d3647843e372">This international population-based study used cross-sectional survey data collected as part of the World Health Organization (WHO) World Health Survey from May 2, 2002, through December 31, 2004. Participants included nationally representative general population probability samples of adults (≥18 years) residing in 42 LMICs (N = 215 682). Data were analyzed from November 20 through December 5, 2017. </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-7"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e375">Exposures</h5> <p id="d3647843e377">Urban vs nonurban residence, determined by the WHO based on national data.</p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-8"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e380">Main Outcomes and Measures</h5> <p id="d3647843e382">Psychotic experiences, assessed using the WHO Composite International Diagnostic Interview psychosis screen, and self-reported lifetime history of a diagnosis of a psychotic disorder. </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-9"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e385">Results</h5> <p id="d3647843e387">Among the 215 682 participants (50.8% women and 49.2% men; mean [SD] age, 37.9 [15.7] years), urban residence was not associated with psychotic experiences (odds ratio [OR], 0.99; 95% CI, 0.89-1.11) or psychotic disorder (OR, 0.89; 95% CI, 0.76-1.06). Results of all pooled analyses and meta-analyses of within-country effects approached a null effect, with an overall OR of 0.97 (95% CI, 0.87-1.07), OR for low-income countries of 0.98 (95% CI, 0.82-1.15), and OR for middle-income countries of 0.96 (95% CI, 0.84-1.09) for psychotic experiences and an overall OR of 0.92 (95% CI, 0.73-1.16), OR for low-income countries of 0.92 (95% CI, 0.66-1.27), and OR for middle-income countries of 0.92 (95% CI, 0.67-1.27) for psychotic disorder. </p> </div><div class="section"> <a class="named-anchor" id="ab-yoi180021-10"> <!-- named anchor --> </a> <h5 class="section-title" id="d3647843e390">Conclusions and Relevance</h5> <p id="d3647843e392">Our results provide evidence that urbanicity, a well-established risk factor for psychosis, may not be associated with elevated odds for psychosis in developing countries. This finding may provide better understanding of the mechanisms by which urban living may contribute to psychosis risk in high-income countries, because urban-rural patterns of cannabis use, racial discrimination, and socioeconomic disparities may vary between developing and developed nations. </p> </div>

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          Schizophrenia: a concise overview of incidence, prevalence, and mortality.

          Recent systematic reviews have encouraged the psychiatric research community to reevaluate the contours of schizophrenia epidemiology. This paper provides a concise overview of three related systematic reviews on the incidence, prevalence, and mortality associated with schizophrenia. The reviews shared key methodological features regarding search strategies, analysis of the distribution of the frequency estimates, and exploration of the influence of key variables (sex, migrant status, urbanicity, secular trend, economic status, and latitude). Contrary to previous interpretations, the incidence of schizophrenia shows prominent variation between sites. The median incidence of schizophrenia was 15.2/100,000 persons, and the central 80% of estimates varied over a fivefold range (7.7-43.0/100,000). The rate ratio for males:females was 1.4:1. Prevalence estimates also show prominent variation. The median lifetime morbid risk for schizophrenia was 7.2/1,000 persons. On the basis of the standardized mortality ratio, people with schizophrenia have a two- to threefold increased risk of dying (median standardized mortality ratio = 2.6 for all-cause mortality), and this differential gap in mortality has increased over recent decades. Compared with native-born individuals, migrants have an increased incidence and prevalence of schizophrenia. Exposures related to urbanicity, economic status, and latitude are also associated with various frequency measures. In conclusion, the epidemiology of schizophrenia is characterized by prominent variability and gradients that can help guide future research.
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            Psychotic syndromes can be understood as disorders of adaptation to social context. Although heritability is often emphasized, onset is associated with environmental factors such as early life adversity, growing up in an urban environment, minority group position and cannabis use, suggesting that exposure may have an impact on the developing 'social' brain during sensitive periods. Therefore heritability, as an index of genetic influence, may be of limited explanatory power unless viewed in the context of interaction with social effects. Longitudinal research is needed to uncover gene-environment interplay that determines how expression of vulnerability in the general population may give rise to more severe psychopathology.
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              Respiratory risks from household air pollution in low and middle income countries.

              A third of the world's population uses solid fuel derived from plant material (biomass) or coal for cooking, heating, or lighting. These fuels are smoky, often used in an open fire or simple stove with incomplete combustion, and result in a large amount of household air pollution when smoke is poorly vented. Air pollution is the biggest environmental cause of death worldwide, with household air pollution accounting for about 3·5-4 million deaths every year. Women and children living in severe poverty have the greatest exposures to household air pollution. In this Commission, we review evidence for the association between household air pollution and respiratory infections, respiratory tract cancers, and chronic lung diseases. Respiratory infections (comprising both upper and lower respiratory tract infections with viruses, bacteria, and mycobacteria) have all been associated with exposure to household air pollution. Respiratory tract cancers, including both nasopharyngeal cancer and lung cancer, are strongly associated with pollution from coal burning and further data are needed about other solid fuels. Chronic lung diseases, including chronic obstructive pulmonary disease and bronchiectasis in women, are associated with solid fuel use for cooking, and the damaging effects of exposure to household air pollution in early life on lung development are yet to be fully described. We also review appropriate ways to measure exposure to household air pollution, as well as study design issues and potential effective interventions to prevent these disease burdens. Measurement of household air pollution needs individual, rather than fixed in place, monitoring because exposure varies by age, gender, location, and household role. Women and children are particularly susceptible to the toxic effects of pollution and are exposed to the highest concentrations. Interventions should target these high-risk groups and be of sufficient quality to make the air clean. To make clean energy available to all people is the long-term goal, with an intermediate solution being to make available energy that is clean enough to have a health impact.
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                Author and article information

                Journal
                JAMA Psychiatry
                JAMA Psychiatry
                American Medical Association (AMA)
                2168-622X
                July 01 2018
                July 01 2018
                : 75
                : 7
                : 678
                Affiliations
                [1 ]Graduate School of Social Service, Fordham University, New York, New York
                [2 ]Department of Psychiatry, Royal College of Surgeons, Dublin, Ireland
                [3 ]School of Social Work, University of Southern California, Los Angeles
                [4 ]Department of Sociology, University of California, Riverside
                [5 ]Department of Public Policy, University of California, Riverside
                [6 ]Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
                [7 ]Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
                Article
                10.1001/jamapsychiatry.2018.0577
                6145671
                29799917
                c6fa6f0f-edfc-446b-9068-8290ec3c5e23
                © 2018
                History

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