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

ABSTRACT: Importance: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. Objective:To determine whether urban living is associated with greater odds for psychosis in low- and middle-income countries (LMICs). Design, Setting, and Participants: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. Exposures:Urban vs nonurban residence, determined by the WHO based on national data. Main Outcomes and Measures:Psychotic experiences, assessed using the WHO Composite International Diagnostic Interview psychosis screen, and self-reported lifetime history of a diagnosis of a psychotic disorder. Results: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. Conclusions and Relevance: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.

SUBMITTER: DeVylder JE

PROVIDER: S-EPMC6145671 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ImportanceHigh amounts of sitting time are associated with increased risks of cardiovascular disease (CVD) and mortality in high-income countries, but it is unknown whether risks also increase in low- and middle-income countries.ObjectiveTo investigate the association of sitting time with mortality and major CVD in countries at different economic levels using data from the Prospective Urban Rural Epidemiology study.Design, setting, and participantsThis population-based cohort study included participants aged 35 to 70 years recruited from January 1, 2003, and followed up until August 31, 2021, in 21 high-income, middle-income, and low-income countries with a median follow-up of 11.1 years.ExposuresDaily sitting time measured using the International Physical Activity Questionnaire.Main outcomes and measuresThe composite of all-cause mortality and major CVD (defined as cardiovascular death, myocardial infarction, stroke, or heart failure).ResultsOf 105 677 participants, 61 925 (58.6%) were women, and the mean (SD) age was 50.4 (9.6) years. During a median follow-up of 11.1 (IQR, 8.6-12.2) years, 6233 deaths and 5696 major cardiovascular events (2349 myocardial infarctions, 2966 strokes, 671 heart failure, and 1792 cardiovascular deaths) were documented. Compared with the reference group (<4 hours per day of sitting), higher sitting time (≥8 hours per day) was associated with an increased risk of the composite outcome (hazard ratio [HR], 1.19; 95% CI, 1.11-1.28; Pfor trend < .001), all-cause mortality (HR, 1.20; 95% CI, 1.10-1.31; Pfor trend < .001), and major CVD (HR, 1.21; 95% CI, 1.10-1.34; Pfor trend < .001). When stratified by country income levels, the association of sitting time with the composite outcome was stronger in low-income and lower-middle-income countries (≥8 hours per day: HR, 1.29; 95% CI, 1.16-1.44) compared with high-income and upper-middle-income countries (HR, 1.08; 95% CI, 0.98-1.19; P for interaction = .02). Compared with those who reported sitting time less than 4 hours per day and high physical activity level, participants who sat for 8 or more hours per day experienced a 17% to 50% higher associated risk of the composite outcome across physical activity levels; and the risk was attenuated along with increased physical activity levels.Conclusions and relevanceHigh amounts of sitting time were associated with increased risk of all-cause mortality and CVD in economically diverse settings, especially in low-income and lower-middle-income countries. Reducing sedentary time along with increasing physical activity might be an important strategy for easing the global burden of premature deaths and CVD.

Project description:BACKGROUND:The aim of this study was to assess the relationship between early childhood caries (ECC) in 3-5-year-old children, seven indicators of poverty and the indicator of monetary poverty in low- and middle-income countries (LICs, MICs). METHODS:This ecologic study utilized 2007 to 2017 country-level data for LICs and MICs. Explanatory variables were seven indicators of poverty namely food, water, sanitation, health, shelter, access to information, education; and monetary poverty. The outcome variable was the percentage of 3-5-year-old children with ECC. A series of univariate general linear regression models were used to assess the relationship between the percentage of 3-5?year-old children with ECC and each of the seven indicators of poverty, and monetary poverty. This was followed by multivariable regression models to determined the combined effect of the seven indicators of poverty, as well as the combined effect of the seven indicators of poverty and monetary poverty. Adjusted R2 measured models' ability to explain the variation among LICs and MICs in the percentage of 3-5-year-old children with ECC. RESULTS:Significantly more people had food, sanitation, shelter, access to information, education and monetary poverty in LICs than in MICs. There was no difference in the prevalence of ECC in 3-5-year-old children between LICs and MICs. The combination of the seven indicators of poverty explained 15% of the variation in the percentage of 3-5-year-old children with ECC compared to 1% explained by monetary poverty. When the seven indicators of poverty and the indicator for monetary poverty were combined, the amount of variation explained by them was 10%. Only two of the poverty indicators had a direct relationship with the percentage of children with ECC; there was a higher percentage of ECC in countries with higher percentage of population living in slums (B?=?0.35) and in those countries with higher percentage of the population living below poverty lines (B?=?0.19). The other indicators had an inverse relationship. CONCLUSION:The use of multiple indicators to measures of poverty explained greater amount of variation in the percentage of 3-5-year-olds with ECC in LICs and MICs than using only the indicator for monetary poverty.

Project description:Background: Maternal height has been confirmed to be associated with offspring stunting in low- and middle-income countries (LMICs), but only limited studies have examined the paternal-offspring association, and few studies have examined the joint effect of maternal and paternal height on stunting. Objective: To investigate the association between parental height and stunting of children aged under five in LMICs. Methods: We obtained data from the Demographic and Health Surveys (DHS) conducted in 14 LMICs from 2006 to 2016. The association between maternal and paternal height and height-for-age z score (HAZ) of children aged under five was analyzed using a linear regression model in consideration of complex survey design, and regression coefficients (β) with 95% confidence intervals (CIs) were reported. Then, the association between maternal and paternal height quintile and child stunting was analyzed using a modified Poisson regression approach with robust error variance in consideration of complex survey design with adjustment for covariates. The effect estimates were expressed as relative risks (RRs) with 95% CIs. Results: A total of 50,372 singleton children were included and the weighted prevalence of stunting was 34.5%. Both maternal height and paternal height were associated with child HAZ (β = 0.047; 95% CI, 0.043, 0.050; and β = 0.022; 95% CI, 0.018, 0.025, respectively). Compared with those born to the tallest mothers and fathers, children from the shortest mothers and the shortest fathers had higher risks of stunting (adjusted RR = 1.89; 95% CI, 1.78, 2.01; adjusted RR = 1.56; 95% CI, 1.47, 1.65, respectively). The mother-offspring associations are substantively larger than the father-offspring associations for each corresponding height quintile. Children from the shortest parents had the highest risk of stunting compared with children from the tallest parents (adjusted RR = 3.23; 95% CI, 2.83, 3.68). Conclusions: Offspring born to short parents are at increased risk of stunting in LMICs, and this intergenerational effect is partly driven by maternal intrauterine influence. This suggests the importance of improving the nutritional status of children and adults in LMICs, especially female caregivers.

Project description:ImportanceThe association between geographic diversity of medical journal editorial staff and publications reporting research conducted in low- and middle-income countries (LMICs) is unclear.ObjectiveTo examine the association between having editorial staff members affiliated with LMICs and publishing research articles from LMICs in leading biomedical journals.Design, setting, and participantsThis cross-sectional study included biomedical journals in fields representing the largest disease burden globally from January 1 to December 31, 2020. Websites of the 5 leading journals in general medicine, pediatrics, surgery, obstetrics and gynecology, cancer, cardiovascular diseases, infectious diseases, psychiatry, and nutrition were reviewed to obtain the country affiliations of editorial staff members. To determine article study countries, original research articles in each journal were reviewed through MEDLINE. Editorial staff country affiliations and study country locations were classified according to World Bank income brackets and regions.ExposureEditorial staff country affiliation.Main outcomes and measuresDescriptive statistics of the proportion of editorial staff affiliated with each income bracket and region and Spearman rank correlation coefficients were used to assess the association between the proportion of editorial staff affiliated with LMICs and the proportion of published articles reporting work conducted in these countries.ResultsThere were 3819 editorial staff members in the 45 included journals: 3637 (95.2%) were affiliated with high-income countries, 140 (3.7%) with upper-middle-income countries, 37 (1.0%) with lower-middle-income countries, and 5 (0.1%) with low-income countries. All 48 editors-in-chief were affiliated with a high-income country. Editorial staff members were mostly affiliated with North American countries (n = 2120 [55.5%]) and European or Central Asian countries (n = 1256 [32.9%]). Of the 10 096 original research articles included in our analysis, 7857 (77.8%) reported research conducted in high-income countries, 1562 (15.5%) reported research conducted in upper-middle-income countries, 507 (5.0%) reported research conducted in lower-middle-income countries, and 170 (1.7%) reported research conducted in low-income countries. Greater editorial staff representation correlated moderately with more published articles reporting research conducted in LMICs (Spearman ρ = 0.51; 95% CI, 0.25-0.70; P < .001).Conclusions and relevanceIn this cross-sectional study, editorial staff in leading biomedical journals were largely composed of individuals affiliated with high-income countries in North America and Europe. A correlation was found between greater editorial staff representation and publication of research focused on LMICs, suggesting that the inclusion of editorial staff affiliated with LMICs may promote the publication of research conducted in those countries.

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

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