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We evaluate the effectiveness of psychological interventions for depression in people with NCDs in South Asia and explore the individual, organizational, and policy-level barriers and facilitators for the implementation and scaling up of these interventions. Eight databases (and local web pages) were searched in May 2022. We conducted random effects models to evaluate the pooled effect of psychological interventions on depression in people with NCDs. We extracted the individual, organizational, and policy level barriers and facilitators. We found five randomized control trials, nine qualitative studies, and 35 policy documents that fitted the inclusion criteria. The pooled standardized mean difference in depression comparing psychological interventions with usual care was -2.31 (95% CI, -4.16 to -0.45; p = .015, I2 = 96.0%). We found barriers and facilitators to intervention delivery, mental health appears in the policy agenda in Bangladesh and Pakistan. However, there is a lack of policies relating to training in mental health for NCD health providers and a lack of integration of mental health care with NCD care. All of the psychological interventions reported to be effective in treating depression in this population. There are important delivery and policy barriers to the implementation and scaling up of psychological interventions for people with NCDs.
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PURPOSE: Approximately 70% of adults in Mexico are overweight or obese. Unhealthy lifestyle behaviors are also prevalent. We examined the association of three lifestyle behaviors with body mass index (BMI) categories in adults from Mexico. METHODS: We used publicly available data from the ENSANUT 2016 survey (n = 6419). BMI was used to categorize participants. Differences in sleep duration, suffering from symptoms of insomnia, TV watching time, time in front of any screen, vigorous physical activity (yes vs no), moderate physical activity (> 30 min/day-yes vs. no) and walking (> 60 min/day-yes vs. no) were compared across BMI groups using adjusted linear and logistic regression analyses. RESULTS: Thirty-nine percent of participants were overweight and 37% obese. Time in front of TV, in front of any screen, sleep duration and physical activity were significantly associated with overweight and obesity. Compared to normal weight participants, participants in the obese II category spend on average 0.60 h/day (95% CI 0.36-0.84, p = 0.001) and participants in the obese III category 0.54 h/day (95% CI 0.19-0.89, p < 0.001) more in front of any screen; participants in the obese II category reported 0.55 h/day less sleep (95% CI - 0.67 to - 0.43, p < 0.001); participants in the obese III category were less likely to engage in vigorous activity (OR = 0.60, 95% CI 0.43-0.84, p ≤ 0.003), or walking (OR = 0.65, 95% CI 0.49-0.88, p = 0.005). CONCLUSION: Screen time, sleeping hours, and physical activity were associated with overweight and obesity. However, these associations were not consistent across all BMI categories. Assuming established causal connections, overweight individuals and individuals with obesity would benefit from reduced screen time and engaging in moderate/vigorous physical activity. LEVEL OF EVIDENCE: Level III: observational case-control analytic study.
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Sobrepeso , Tiempo de Pantalla , Adulto , Índice de Masa Corporal , Estudios Transversales , Ejercicio Físico , Humanos , México , Obesidad , SueñoRESUMEN
PURPOSE: Obesity and depression are among the leading causes of disability in Mexico, but their association has not been explored yet. The aim of the current study was to investigate the association between obesity and depression in Mexican population. METHODS: We used data from the health and nutrition survey (ENSANUT 2012), which is representative of the Mexican population. Obesity was determined using the body mass index (BMI) and abdominal obesity by measuring waist circumference. Depressive symptoms were reported using the Center for Epidemiological Studies Depression Scale Short-Form (CES-D-SF, scale 0-21). Regression analyses were performed between obesity and depression, adjusting for gender, age, living with a partner, education, and diabetes history. RESULTS: Obese women had 1.28 (95% CI 1.07-1.53) times the odds of having depression in comparison with normal-weight women, whereas no association was found for men (OR 0.94; 95% CI 0.74-1.19). A significant association between BMI and depressive symptoms score (ß = 0.05, 95% CI 0.02-0.07) was present in women, but no association was found for men (ß = - 0.02, 95% CI - 0.05 to 0.00). There was a statistically significant association between waist circumference and depression scores again for women (ß = 0.03, 95% CI 0.01-0.04) but not for men (ß = 0.00, 95% CI - 0.01 to 0.01). No associations were found between abdominal obesity and depression for both genders. No association was found between different obesity severity levels and depression for both genders. CONCLUSION: Obesity was associated with depression in Mexican women, whereas no association was found between obesity and depression in men.
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Depresión/epidemiología , Obesidad/epidemiología , Adolescente , Adulto , Anciano , Comorbilidad , Femenino , Humanos , Masculino , México/epidemiología , Persona de Mediana Edad , Factores Sexuales , Adulto JovenRESUMEN
BACKGROUND: Low- and middle-income countries (LMICs) face high burden of common mental disorders (CMDs). Most of the evidence for the Collaborative Care (CC) model effectiveness comes from high-income countries (HICs) and may not generalise to LMICs. A systematic review was conducted to assess effectiveness of CC for CMDs in LMICs. METHODS: We searched eight-databases, two trial registries (2011-November 2023). Randomised controlled trials (RCTs) of adults (≥18 years) with depression/anxiety diagnosis, reporting remission/change in symptom severity were eligible. Random effects meta-analyses were conducted for: short-(0-6 months), medium-(7-12 months), long-(13-24 months), and very long-term (≥25 months) follow-up. Quality was assessed with Cochrane RoB2 tool. PROSPERO registration: CRD42022380407. RESULTS: Searches identified 7494 studies, 12 trials involving 13,531 participants were included; nine had low-risk of bias. CC was more effective than usual care for depression: dichotomous outcomes (short-term, 7 studies, relative risk (RR) 1.39, 95%CI 1.31, 1.48; medium-term, 6 studies, RR 1.35, 95%CI 1.28, 1.43); and continuous outcomes (short-term, 8 studies, standardised mean difference (SMD) -0.51, 95%CI -0.80, -0.23; medium-term, 8 studies, SMD -0.59, 95%CI -1.00, -0.17). CC was found to be effective at long-term (one study), but not at very long-term. Improvement in anxiety outcomes with CC (2 studies, 340 participants) reported up to 12-months; improvements in quality-of-life were not statistically significant (3 studies, 796 participants, SMD 0.62, 95%CI -0.10, 1.34). LIMITATIONS: Pooled estimates showed high heterogeneity. CONCLUSIONS: In LMICs, CC was more effective than usual care for improving depression outcomes at short and medium-term follow-up. A similar improvement was found for anxiety outcomes, but evidence is limited.
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Países en Desarrollo , Humanos , Trastornos Mentales/terapia , Adulto , Trastornos de Ansiedad/terapia , Ensayos Clínicos Controlados Aleatorios como Asunto , Trastorno Depresivo/terapiaRESUMEN
Background: Dietary energy density (DED) is associated with chronic disease markers in adults. However, results in children are still controversial. Objective: To evaluate the DED of children and its association with obesity and biomarkers of chronic disease. Methods: In this cross-sectional study, we recruited 284 children (6-10 y) from rural Mexico. Dietary intake was assessed using three 24-h recalls. DED was calculated for "foods only" (DEDfo) and for "foods and beverages" (DEDfb). Weight, height, and body fat percent (dual-energy X-ray absorptiometry) were measured. Inflammatory cytokines, lipid profile, leptin, and insulin resistance were determined from a fasting blood sample. Results: DEDfo was 1.91 ± 0.36 kcal/g and DEDfb was 1.36 ± 0.31 kcal/g. Higher DEDfo and DEDfb were associated with higher risk to have insulin resistance [odds ratio (OR) = 3.92, 95% confidence interval (CI): 1.66, 9.22, P < 0.01; OR = 3.51, 95% CI: 1.25, 9.87, P = 0.02, respectively]. Higher DEDfo was associated with higher risk of higher leptin levels (OR = 3.17, 95% CI: 1.01, 10.23). Also, DEDfo and DEDfb were associated with higher concentrations of cholesterol (ß = 11.67, 95% CI: 1.81, 19.53, P = 0.03; and ß = 11.74, 95% CI: 2.69, 20.74 P = 0.01, respectively) and higher odds of having high insulin concentrations (OR = 2.52, 95% CI: 1.26, 5.06, P = 0.01; and OR = 2.95, 95% CI: 1.30, 6.70, P = 0.01). DEDfo and DEDfb were not associated with any measure of obesity and inflammatory cytokines in the adjusted models. Conclusions: DED was associated with higher leptin and cholesterol concentrations, and having insulin resistance, but not with any measure of obesity or inflammation. Reducing DED may reduce risk of cardiovascular disease and improve insulin sensitivity in school-aged children.
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BACKGROUND: People with severe mental illness (SMI) die earlier than the general population, primarily because of physical disorders. AIMS: We estimated the prevalence of physical health conditions, health risk behaviours, access to healthcare and health risk modification advice in people with SMI in Bangladesh, India and Pakistan, and compared results with the general population. METHOD: We conducted a cross-sectional survey in adults with SMI attending mental hospitals in Bangladesh, India and Pakistan. Data were collected on non-communicable diseases, their risk factors, health risk behaviours, treatments, health risk modification advice, common mental disorders, health-related quality of life and infectious diseases. We performed a descriptive analysis and compared our findings with the general population in the World Health Organization (WHO) 'STEPwise Approach to Surveillance of NCDs' reports. RESULTS: We recruited 3989 participants with SMI, of which 11% had diabetes, 23.3% had hypertension or high blood pressure and 46.3% had overweight or obesity. We found that 70.8% of participants with diabetes, high blood pressure and hypercholesterolemia were previously undiagnosed; of those diagnosed, only around half were receiving treatment. A total of 47% of men and 14% of women used tobacco; 45.6% and 89.1% of participants did not meet WHO recommendations for physical activity and fruit and vegetable intake, respectively. Compared with the general population, people with SMI were more likely to have diabetes, hypercholesterolemia and overweight or obesity, and less likely to receive tobacco cessation and weight management advice. CONCLUSIONS: We found significant gaps in detection, prevention and treatment of non-communicable diseases and their risk factors in people with SMI.
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INTRODUCTION: People with severe mental illness (SMI) tend to die early due to cardiovascular and respiratory diseases, which may be linked to tobacco use. There is limited information on tobacco use in people with SMI in low- and middle-income countries where most tobacco users reside. We present novel data on tobacco use in people with SMI and their access to tobacco cessation advice in South Asia. METHODS: We conducted a multi-country survey of adults with SMI attending mental health facilities in Bangladesh, India, and Pakistan. Using data collected with a standardized WHO STEPS survey tool, we estimated the prevalence and distribution of tobacco use and assessed receipt of tobacco cessation advice. RESULTS: We recruited 3874 participants with SMI; 46.8% and 15.0% of men and women consumed tobacco, respectively. Smoking prevalence in men varied by country (Bangladesh 42.8%, India 20.1% and Pakistan 31.7%); <4% of women reported smoking in each country. Smokeless tobacco use in men also varied by country (Bangladesh 16.2%, India 18.2% and Pakistan 40.8%); for women, it was higher in Bangladesh (19.1%), but similar in India (9.9%) and Pakistan (9.1%). Just over a third of tobacco users (38.4%) had received advice to quit tobacco. Among smokers, 29.1% (n=244) made at least one quit attempt in the past year. There was strong evidence for the association between tobacco use and the severity of depression (OR=1.29; 95% CI: 1.12-1.48) and anxiety (OR=1.29; 95% CI: 1.12-1.49). CONCLUSIONS: As observed in high-income countries, we found higher tobacco use in people with SMI, particularly in men compared with rates reported for the general population in South Asia. Tobacco cessation support within mental health services offers an opportunity to close the gap in life expectancy between SMI and the general population. STUDY REGISTRATION: ISRCTN88485933; https://doi.org/10.1186/ISRCTN88485933 39.
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Obesity is one of the major contributors to the excess mortality seen in people with severe mental illness (SMI) and in low- and middle-income countries people with SMI may be at an even greater risk. In this study, we aimed to determine the prevalence of obesity and overweight in people with SMI and investigate the association of obesity and overweight with sociodemographic variables, other physical comorbidities, and health-risk behaviours. This was a multi-country cross-sectional survey study where data were collected from 3989 adults with SMI from three specialist mental health institutions in Bangladesh, India, and Pakistan. The prevalence of overweight and obesity was estimated using Asian BMI thresholds. Multinomial regression models were then used to explore associations between overweight and obesity with various potential determinants. There was a high prevalence of overweight (17·3 %) and obesity (46·2 %). The relative risk of having obesity (compared to normal weight) was double in women (RRR = 2·04) compared with men. Participants who met the WHO recommendations for fruit and vegetable intake had 2·53 (95 % CI: 1·65-3·88) times greater risk of having obesity compared to those not meeting them. Also, the relative risk of having obesity in people with hypertension is 69 % higher than in people without hypertension (RRR = 1·69). In conclusion, obesity is highly prevalent in SMI and associated with chronic disease. The complex relationship between diet and risk of obesity was also highlighted. People with SMI and obesity could benefit from screening for non-communicable diseases, better nutritional education, and context-appropriate lifestyle interventions.
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Hipertensión , Sobrepeso , Masculino , Adulto , Humanos , Femenino , Sobrepeso/complicaciones , Sobrepeso/epidemiología , Estudios Transversales , Bangladesh/epidemiología , Pakistán/epidemiología , Sur de Asia , Obesidad/complicaciones , Obesidad/epidemiología , Factores de Riesgo , India/epidemiología , Hipertensión/epidemiologíaRESUMEN
This study aims to (1) identify the most prevalent perceived barriers for healthy eating and performing physical activity among adults in Mexico; and (2) determine the association between perceived barriers, with body mass index (BMI) categories, geo-demographic and socio-economic characteristics. We carried out a cross-sectional, secondary analysis of publicly available data from the Mexican Health and Nutrition Survey 2016. We extracted data from 6406 adults, aged 20-65 years, including: perceived barriers for healthy eating and for performing physical activity, BMI, residence area, region of Mexico, sex, age and socio-economic status. Logistic regression models were used to evaluate the association between perceived barriers with the categories of obesity, geographic and socio-demographic variables. Seventy-four point nine percent of the respondents were categorised as having either overweight or obesity, 80.5% reported at least one barrier to healthy eating and 78.3% at least one barrier to performing physical activity. Of the listed barriers, the most reported barriers were 'lack of affordability' (58.6%) for healthy eating and 'lack of time' (51.2%) for performing physical activity. Females (OR 1.27, 95% CI 1.11 to 1.46) and people with obesity (OR 1.19, 95% CI 1.01 to 1.41) were more likely to report barriers to a healthy diet; and females (OR 1.39, 95% CI 1.41 to 1.59), people with obesity (OR 1.41, 95% CI 1.19 to 1.69) and those living in rural areas (OR 1.49, 95% CI 1.30 to 1.72) were more likely to report barriers to performing physical activity. There was a high prevalence of reported barriers for healthy eating and performing physical activity. Females, people with obesity, and those living in rural areas are more likely to report barriers for healthy eating and for performing physical activity. Targeted health programmes and tailored interventions that address the barriers to a healthy lifestyle that these groups experience may encourage healthier lifestyle behaviours in a greater proportion of Mexican adults.
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Dieta Saludable , Ejercicio Físico , Adulto , Estudios Transversales , Femenino , Humanos , México/epidemiología , Encuestas Nutricionales , Obesidad/epidemiologíaRESUMEN
Introduction: People with severe mental illness (SMI) are more likely to have obesity and engage in health risk behaviours than the general population. The aims of this study are (1) evaluate the effectiveness of interventions that focus on body weight, smoking cessation, improving sleeping patterns, and alcohol and illicit substance abuse; (2) Compare the number of interventions addressing body weight and health risk behaviours in low- and middle-income countries (LMICs) v. those reported in published systematic reviews focusing on high-income countries (HICs). Methods: Intervention studies published up to December 2020 were identified through a structured search in the following database; OVID MEDLINE (1946-December 2020), EMBASE (1974-December 2020), CINAHL (1975-2020), APA PsychoINFO (1806-2020). Two authors independently selected studies, extracted study characteristics and data and assessed the risk of bias. and risk of bias was assessed using the Cochrane risk of bias tool V2. We conducted a narrative synthesis and, in the studies evaluating the effectiveness of interventions to address body weight, we conducted random-effects meta-analysis of mean differences in weight gain. We did a systematic search of systematic reviews looking at cardiometabolic and health risk behaviours in people with SMI. We compared the number of available studies of LMICs with those of HICs. Results: We assessed 15 657 records, of which 9 met the study inclusion criteria. Six focused on healthy weight management, one on sleeping patterns and two tested a physical activity intervention to improve quality of life. Interventions to reduce weight in people with SMI are effective, with a pooled mean difference of -4.2 kg (95% CI -6.25 to -2.18, 9 studies, 459 participants, I 2 = 37.8%). The quality and sample size of the studies was not optimal, most were small studies, with inadequate power to evaluate the primary outcome. Only two were assessed as high quality (i.e. scored 'low' in the overall risk of bias assessment). We found 5 reviews assessing the effectiveness of interventions to reduce weight, perform physical activity and address smoking in people with SMI. From the five systematic reviews, we identified 84 unique studies, of which only 6 were performed in LMICs. Conclusion: Pharmacological and activity-based interventions are effective to maintain and reduce body weight in people with SMI. There was a very limited number of interventions addressing sleep and physical activity and no interventions addressing smoking, alcohol or harmful drug use. There is a need to test the feasibility and cost-effectiveness of context-appropriate interventions to address health risk behaviours that might help reduce the mortality gap in people with SMI in LMICs.
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BACKGROUND: People with severe mental illnesses (SMIs) are likely to face disproportionate challenges during a pandemic. They may not receive or be able to respond to public health messages to prevent infection or to limit its spread. Additionally, they may be more severely affected, particularly in low- and middle-income countries. METHODS: We conducted a telephone survey (May-June 2020) in a sample of 1,299 people with SMI who had attended national mental health institutes in Bangladesh and Pakistan before the pandemic. We collected information on top worries, socioeconomic impact of the pandemic, knowledge of COVID-19 (symptoms, prevention), and prevention-related practices (social distancing, hygiene). We explored the predictive value of socio-demographic and health-related variables for relative levels of COVID-19 knowledge and practice using regularized logistic regression models. FINDINGS: Mass media were the major source of information about COVID-19. Finances, employment, and physical health were the most frequently mentioned concerns. Overall, participants reported good knowledge and following advice. In Bangladesh, being female and higher levels of health-related quality of life (HRQoL) predicted poor and better knowledge, respectively, while in Pakistan being female predicted better knowledge. Receiving information from television predicted better knowledge in both countries. In Bangladesh, being female, accessing information from multiple media sources, and better HRQoL predicted better practice. In Pakistan, poorer knowledge of COVID-19 prevention measures predicted poorer practice. CONCLUSION: Our paper adds to the literature on people living with SMIs and their knowledge and practices relevant to COVID-19 prevention. Our results emphasize the importance of access to mass and social media for the dissemination of advice and that the likely gendered uptake of both knowledge and practice requires further attention.
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INTRODUCTION: 'Multimorbidity' describes the presence of two or more long-term conditions, which can include communicable, non-communicable diseases, and mental disorders. The rising global burden from multimorbidity is well documented, but trial evidence for effective interventions in low-/middle-income countries (LMICs) is limited. Selection of appropriate outcomes is fundamental to trial design to ensure cross-study comparability, but there is currently no agreement on a core outcome set (COS) to include in trials investigating multimorbidity specifically in LMICs. Our aim is to develop international consensus on two COSs for trials of interventions to prevent and treat multimorbidity in LMIC settings. METHODS AND ANALYSIS: Following methods recommended by the Core Outcome Measures in Effectiveness Trials initiative, the development of these two COSs will occur in parallel in three stages: (1) generation of a long list of potential outcomes for inclusion; (2) two-round online Delphi surveys and (3) consensus meetings. First, to generate an initial list of outcomes, we will conduct a systematic review of multimorbidity intervention and prevention trials and interviews with people living with multimorbidity and their caregivers in LMICs. Outcomes will be classified using an outcome taxonomy. Two-round Delphi surveys will be used to elicit importance scores for these outcomes from people living with multimorbidity, caregivers, healthcare professionals, policy makers and researchers in LMICs. Finally, consensus meetings including all of these stakeholders will be held to agree outcomes for inclusion in the two COSs. ETHICS AND DISSEMINATION: The study has been approved by the Research Governance Committee of the Department of Health Sciences, University of York, UK (HSRGC/2020/409/D:COSMOS). Each participating country/research group will obtain local ethics board approval. Informed consent will be obtained from all participants. We will disseminate findings through peer-reviewed open access publications, and presentations at global conferences selected to reach a wide range of LMIC stakeholders. PROSPERO REGISTATION NUMBER: CRD42020197293.
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Países en Desarrollo , Multimorbilidad , Técnica Delphi , Humanos , Evaluación de Resultado en la Atención de Salud , Proyectos de Investigación , Revisiones Sistemáticas como Asunto , Resultado del TratamientoRESUMEN
Aims: 1) To determine the pooled prevalence of overweight and obesity in people with severe mental illness (SMI), overall and by type of SMI, geographical region, and year of data collection; and 2) to assess the likelihood of overweight and obesity, in people with SMI compared with the general population. Methods: PubMed, Medline, EMBASE, and PsycINFO databases were searched to identify observational studies assessing the prevalence of obesity in adults with SMI. Screening, data extraction and risk of bias assessments were performed independently by two co-authors. Random effect estimates for the pooled prevalence of overweight and obesity and the pooled odds of obesity in people with SMI compared with the general population were calculated. Subgroup analyses were conducted for types of SMI, setting, antipsychotic medication, region of the world, country income classification, date of data collection and sex. We assessed publication bias and performed a series of sensitivity analyses, excluding studies with high risk of bias, with low sample size and those not reporting obesity according to WHO classification. Result: 120 studies from 43 countries were included, the majority were from high income countries. The pooled prevalence of obesity in people with SMI was 25.9% (95% C.I. = 23.3-29.1) and the combined pooled prevalence of overweight and obesity was 60.1% (95% C.I. = 55.8-63.1). Sub-Saharan Africa (13.0%, 95%C.I. = 6.7-25.1) and South Asia (17.7%, 95%C.I. = 10.5-28.5) had the lowest prevalence of obesity whilst North Africa and the Middle East (35.8%, 95%C.I. = 23.8-44.8) reported the highest prevalence. People with SMI were 3.04 more likely (95% C.I. = 2.42-3.82) to have obesity than the general population, but there was no difference in the prevalence of overweight. Women with schizophrenia were 1.44 (95% C.I. = 1.25-1.67) times more likely than men with schizophrenia to live with obesity; however, no gender differences were found among those with bipolar disorder. Conclusion: People with SMI have a markedly high prevalence and higher odds of obesity than the general population. This may contribute to the very high prevalence of physical health conditions and mortality in this group. People with SMI around the world would likely benefit from interventions to reduce and prevent obesity.
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Trastornos Mentales/epidemiología , Obesidad/epidemiología , Sobrepeso/epidemiología , Comorbilidad , Humanos , PrevalenciaRESUMEN
The aim of this study is to provide an overview of the geographical distribution of Ascariasis, Amebiasis and Giardiasis, and to identify specific geographical, socioeconomic and environmental factors that are associated with the incidence of these infections in Mexican children. We made use of publicly available data that was reported by federal organizations in Mexico for the year 2010. The contribution of geographical, socioeconomic and environmental factors to the incidence of infections was assessed by a multivariable regression model using a backwards selection procedure. A. lumbricoides incidence was associated with mean minimum temperature of the state, the state-wide rate of households without access to piped water and toilet, explaining 77% of the incidence of A. lumbricoides infections. Mean minimum precipitation in the state, the rate of households without access to a toilet, piped water and sewage system best explained (73%) the incidence of E. histolytica infections. G. lamblia infections were only explained by the latitude of the state (11%). In addition to the well-known socioeconomic factors contributing to the incidence of A. lumbricoides and E. histolytica we found that temperature and precipitation were associated with higher risk of infection.
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INTRODUCTION: People with severe mental illness (SMI) die on average 10-20 years earlier than the general population. Most of these deaths are due to physical health conditions. The aim of this cross-sectional study is to determine the prevalence of physical health conditions and their associations with health-risk behaviours, health-related quality of life and various demographic, behavioural, cognitive, psychological and social variables in people with SMI attending specialist mental health facilities in South Asia. METHODS AND ANALYSIS: We will conduct a survey of patients with SMI attending specialist mental health facilities in Bangladesh, India and Pakistan (n=4500). Diagnosis of SMI will be confirmed using the Mini-international neuropsychiatric interview V.6.0. We will collect information about physical health and related health-risk behaviours (WHO STEPwise approach to Surveillance (STEPS)); severity of common mental disorders (Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder scale (GAD-7)) and health-related quality of life (EQ-5D-5L). We will measure blood pressure, height, weight and waist circumference according to WHO guidelines. We will also measure glycated haemoglobin, lipid profile, thyroid function, liver function, creatinine and haemoglobin. Prevalence rates of physical health conditions and health-risk behaviours will be presented and compared with the WHO STEPS survey findings in the general population. Regression analyses will explore the association between health-risk behaviours, mental and physical health conditions. ETHICS AND DISSEMINATION: The study has been approved by the ethics committees of the Department of Health Sciences University of York (UK), Centre for Injury Prevention and Rehabilitation (Bangladesh), Health Ministry Screening Committee and Indian Council of Medical Research (India) and National Bioethics Committee (Pakistan). Findings will be disseminated in peer-reviewed articles, in local and international conferences and as reports for policymakers and stakeholders in the countries involved. TRIAL REGISTRATION NUMBER: ISRCTN88485933; 3 June 2019.
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Trastornos Mentales , Calidad de Vida , Bangladesh , Estudios Transversales , Conductas de Riesgo para la Salud , Humanos , India/epidemiología , Trastornos Mentales/epidemiología , Pakistán/epidemiología , PrevalenciaRESUMEN
Background: Differences in gut microbiota composition have been associated with obesity and metabolic alterations in children. The aim of this study was to analyze the abundance of the main bacterial families of the gut among children according to their body composition and metabolic markers. Methods: A cross-sectional study was conducted with 93 school-aged children (8.4 ± 1.6 years old). Anthropometric and body composition variables were measured and a blood sample was collected to determine glucose, insulin, lipid profile, C-reactive protein, leptin, and cytokines [interleukin 6, interleukin 10 (IL-10), tumor necrosis factor α (TNFα)]. DNA was extracted from stool samples and the abundance of bacterial families (Bacteroidaceae-Porphyromonadaceae-Prevotellaceae, Lactobacillaceae, Enterococcaceae, and Lachnospiraceae-Ruminococcaceae) was determined by qPCR assays. Results: Children with obesity and high waist/height ratio had lower Bacteroidaceae-Porphyromonadaceae-Prevotellaceae and higher abundance of Lactobacillaceae when compared with normal-weight children. TNFα was negatively associated and IL-10 was positively associated with Bacteroidaceae-Porphyromonadaceae-Prevotellaceae. Triglycerides showed a positive relationship with Lachnospiraceae-Ruminococcaceae whereas high-density lipoprotein-cholesterol was negatively associated with Lactobacillaceae. Conclusion: In rural Mexican school-aged children, a low abundance of Bacteroidaceae-Porphyromonadaceae-Prevotellaceae and a high abundance of Lactobacillaceae are associated with obesity and metabolic disturbances.