Abuse among school going adolescents in three major cities of Pakistan: is it associated with school performances and mood disorders?

Objective: To assess the proportion of various types of abuses and their association with school performances and psychological stress among adolescents from three major cities of Pakistan. Methods: The cross-sectional school survey was conducted from March to September 2009, comprising adolescent students at six schools in Karachi, Lahore and Quetta. Data was collected using a self-administered and pre-tested questionnaire by trained medical students. SPSS 16 was used for statistical analysis.. Results: Of the 414 subjects in the study, there were 223(54%) boys and 191(46%) girls with an overall mean age of 14.36 ±1.08 years. In all, 140(33.7%) participants were physically abused and 236(57%) participants were verbally abused in the preceding 12 months. Besides, 245(59.2%) were involved in physical fight and 195(47.1%) had suffered injury during the preceding year. There were 171(41.4%) subjects having suffered bullying during the same period. Verbal abuse (p=0.05), physical fight (p=0.05) and bullying (p\u3c0.001) were significantly associated with poor school performances among adolescents. Physical abuse (p=0.05), verbal abuse (p=0.003), injury (p=0.02) and bullying (p\u3c0.001) were significantly associated with psychological stress. Conclusion: Various types of abuse were quite prevalent in adolescents that were significantly associated with poor school performance and poor mental health

A technical assessment on photovoltaic power generation under varying weather profile – Northumbria university pilot

The output from Photovoltaic (PV) system’s is mostly dependent on the weather of the area in which it is installed and it is greatly influenced by the amount of sunlight, irradiance intensity and the time of day (sunny or daylight hours). Consequently, climate in the United Kingdom (UK) does not allow the production of consistent power throughout the year. This paper discusses and analyses the realistic weather data in the UK to provide the accurate climate factor for solar energy production. The present study aims to help decision-makers take reasonable steps to provide solar energy production solutions while considering the weather benefits and as well as abnormalities. This paper tends to provide a comparative analysis of actual and theoretical performance conducted over a one-year monitoring cycle. The paper starts with an overview of performance co-efficient followed by the details of energy produced during various weather periods to investigate the reliability of depending solely on solar. A 75% decline in winter output relative to the summer and an energy generation of only 1.8% on the darkest day of the year compared to the brightest day are reported

In vitro evaluation of mutagenicity and genotoxicity of sitagliptin alone and in combination with artificial sweeteners

Purpose: To determine the in vitro genotoxicity and mutagenicity of sitagliptin alone and in combination with three commonly used artificial sweeteners (saccharin, aspartame and acesulfame-k).Methods: The in vitro genotoxicity and mutagenicity of Sitagliptin alone and in combination with three popular artificial sweeteners (saccharin, aspartame and acesulfame-k) were evaluated by Comet and Ames assays, respectively.Results: Sitagliptin demonstrated mutagenic potential only to TA 98 with S9 mix at a concentration of 3040 μg/plate. The mutagenicity of sitagliptin was enhanced when tested in combination with the artificial sweeteners. Furthermore, sitagliptin also caused pronounced DNA fragmentation at higher doses compared with negative control.Conclusion: At higher doses, sitagliptin showed both mutagenicity and genotoxicity. Thus, long-term use of artificial sweeteners with sitagliptin may lead to increase in both mutagenicity and genotoxicity.Keywords: Sitagliptin, Artificial sweeteners, Comet assay, DNA damage, Ames assay, Genotoxicity, Mutagenicit

Self-perceived health among school going adolescents in Pakistan: influence of individual, parental and life style factors?

BACKGROUND: Adolescents are at substantial risk of acquiring behaviors which might influence their health status. This study was aimed to assess the proportion of school going adolescents (both males and females) with poor self-perceived health and its associated factors. METHODOLOGY: A cross-sectional study was conducted in three major cities of Pakistan i.e. Karachi, Lahore and Quetta. From each city, six (6) secondary schools were randomly selected (3 public and 3 private). Pre-tested, self-administered questionnaire was distributed to students. Binary logistic regression analysis was conducted to determine independent factors associated with poor self-perceived health. RESULTS: Approximately 29% adolescents (119/414) reported poor self-perceived health. Individual and parental factors significantly associated with poor self-perceived health were being male (AOR = 1.75, 95% CI: 1.09 - 2.79), living in extended family (AOR = 2.65, 95% CI: 1.66 - 4.22), unskilled employment of father (AOR = 2.17, 95% CI: 1.35 - 3.48), lack of parental-child communication (AOR = 1.74, 95% CI: 1.03 - 2.91) and unfair treatment by parents (AOR = 1.80, 95% CI: 1.09 - 2.96). Life style factors such as use of smokeless tobacco (AOR = 2.14, 95% CI: 1.26 - 3.96) and unhealthy diet (AOR = 3.60, 95% CI: 1.76 - 7.33) were associated with poor self-perceived health. CONCLUSION: Better employment opportunities for father, parental counseling and increase awareness for adolescents about healthy diet are recommended to improve adolescent self-perceived health in Pakistan

Preventable lifestyle risk factors for non-communicable diseases in the Pakistan Adolescents Schools Study 1 (PASS-1).

Objectives: The rising burden of preventable risk factors for non-communicable diseases (NCDs) among adolescents is a major public health challenge worldwide. We identified the preventable risk factors for NCDs in adolescents. Methods: In a school-based study, pre-tested structured questionnaires were completed by 414 adolescents (14 to 17 years) at six schools in three cities in Pakistan. The chi-squared test and adjusted odds ratio (aOR) with 95% confidence interval (CI) were calculated in a multinomial logistic regression analysis. Results: Over 80% of the adolescents had unhealthy diets, and 54% were physically inactive. Most adolescents were exposed to passive smoking, and 14% were also current smokers. More than one-third of participants chewed betel nut, and one-quarter used oral tobacco. More girls were physically inactive (OR, 4.07; 95% CI, 2.69 to 6.17), whereas a greater proportion of boys were current smokers (OR, 2.17; 95% CI, 1.19 to 3.91), exposed to passive smoking (OR, 2.57; 95% CI, 1.72 to 3.83), and using betel nut (OR, 2.03; 95% CI, 1.34 to 3.06). Only 3.1% of the participants were without any preventable lifestyle risk factor for NCDs, and over 80% had ≥2 factors. Co-existence of risk factors was independently associated with fathers being blue-collar workers (aOR, 3.57; 95% CI, 1.07 to 11.92) and parents not treating their child fairly (aOR, 5.05; 95% CI, 1.29 to 19.78). Conclusions: Most of the adolescents studied had preventable risk factors for NCDs. These results warrant comprehensive and integrated interventions to prevent lifestyle risk factors, and parents are front-line stakeholders

Mobile consulting (mConsulting) and its potential for providing access to quality healthcare for populations living in low-resource settings of low- and middle-income countries

Objective: The poorest populations of the world lack access to quality healthcare. We defined the key components of consulting via mobile technology (mConsulting), explored whether mConsulting can fill gaps in access to quality healthcare for poor and spatially marginalised populations (specifically rural and slum populations) of low- and middle-income countries, and considered the implications of its take-up.Methods: We utilised realist methodology. First, we undertook a scoping review of mobile health literature and searched for examples of mConsulting. Second, we formed our programme theories and identified potential benefits and hazards for deployment of mConsulting for poor and spatially marginalised populations. Finally, we tested our programme theories against existing frameworks and identified published evidence on how and why these benefits/hazards are likely to accrue.Results: We identified the components of mConsulting, including their characteristics and range. We discuss the implications of mConsulting for poor and spatially marginalised populations in terms of competent care, user experience, cost, workforce, technology, and the wider health system.Conclusions: For the many dimensions of mConsulting, how it is structured and deployed will make a difference to the benefits and hazards of its use. There is a lack of evidence of the impact of mConsulting in populations that are poor and spatially marginalised, as most research on mConsulting has been undertaken where quality healthcare exists. We suggest that mConsulting could improve access to quality healthcare for these populations and, with attention to how it is deployed, potential hazards for the populations and wider health system could be mitigated

Multi-objective Optimized Smart Charge Controller for Electric Vehicle Applications

The continuous deployment of distributed energy sources and increase in the adoption of Electric Vehicles (EVs) require smart charging algorithms. Existing EV chargers offer limited flexibility and controllability, and do not fully consider factors (such as, EV user waiting time and length of next trip) as well as the potential opportunities and financial benefits from using EVs to support the grid, charge from renewable energy and deal with the negative impacts of intermittent renewable generation. The lack of adequate smart EV charging may result in high battery degradation, violation of grid control statutory limits, high greenhouse emissions and charging cost. In this paper, a Neuro-Fuzzy-PSO based novel and advanced smart charge controller is proposed which considers user requirements, energy tariff, grid condition (e.g., voltage or frequency), renewable (PV) output and battery state of health. A rule based Fuzzy controller becomes complex as the number of inputs to the controller increases. Also, it becomes difficult to achieve an optimum operation due to conflicting nature of control requirements. To optimize the controller response, Particle Swarm Optimization (PSO) technique is proposed to provide a global optimum solution based on a pre-defined cost function and to address the implementation complexity PSO is combined with neural network. The proposed Neuro-Fuzzy-PSO control algorithm meets EV user requirements, work within technical constraints and is simple to implement in real-time (and requires less processing time). Simulation using MATLAB and experimental results using dSPACE digital real-time emulator are presented to demonstrate the effectiveness of the proposed controller

Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: A systematic analysis for the global burden of disease study 2017

© 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. Findings: In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9–584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8–7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578–4 044 819) in 2017, an increase of 18·0% since 1990, while total DALYs increased by 13·3%. However, when accounting for ageing and population growth, declines were observed in age-standardised prevalence (14·3% decrease), age-standardised death rates (42·6%), and age-standardised DALY rates (38·2%). In males and females, most chronic respiratory disease-attributable deaths and DALYs were due to COPD. In regional analyses, mortality rates from chronic respiratory diseases were greatest in south Asia and lowest in sub-Saharan Africa, also across both sexes. Notably, although absolute prevalence was lower in south Asia than in most other super-regions, YLLs due to chronic respiratory diseases across the subcontinent were the highest in the world. Death rates due to interstitial lung disease and pulmonary sarcoidosis were greater than those due to pneumoconiosis in all super-regions. Smoking was the leading risk factor for chronic respiratory disease-related disability across all regions for men. Among women, household air pollution from solid fuels was the predominant risk factor for chronic respiratory diseases in south Asia and sub-Saharan Africa, while ambient particulate matter represented the leading risk factor in southeast Asia, east Asia, and Oceania, and in the Middle East and north Africa super-region. Interpretation: Our study shows that chronic respiratory diseases remain a leading cause of death and disability worldwide, with growth in absolute numbers but sharp declines in several age-standardised estimators since 1990. Premature mortality from chronic respiratory diseases seems to be highest in regions with less-resourced health systems on a per-capita basis. Funding: Bill & Melinda Gates Foundation

Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

The Global Burden of Diseases, Injuries and Risk Factors 2017 includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. METHODS: We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting

Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Interpretation: By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning