Women Home Based Workers in Rural areas of Pakistan

Home-based work is a “general category of work within the informal or unorganized sector where workers carry out remunerative activities within their homes or in the surrounding areas but not at the premises of an employer”. The women Home-based workers defines as “The Women who work in their own dwelling or home stations. It is the moneymaking activity. The home based work includes the embroidery, handicrafts, stitching, weaving, shoe making, football making, garments, handmade jewelry and decoration piece making etc. The main purpose of this study was to explore awareness among women home based worker about their rights. The study was conducted in District Faisalabad. Multistage sampling technique was used in this study. At first stage, one Tehsil Faisalabad out of five Tehsils was selected by using simple random sampling technique. At second stage 4 union councils including UC-49, UC-157, and UC-274 were selected by using simple purposive sampling technique. At third stage four villages from each union council out of five villages (Chack No- 225 RB, Malkhawala), (Chack No-217 RB, Chakaira), (Chack No-218 RB, Pronkawala) and (Chack No-61 JB, Dharora) were selected purposively. The study was conducted in rural area of District Faisalabad. The sample size of one twenty women was selected by using simple random sampling.  Questionnaire was used as a tool for data collection and collected data were analyzed by using Statistical Package for Social Sciences (SPSS). Results of the study revealed that 61.7% of the respondents were illiterate, about 38.3% of the respondents earned 2501-5000 rupees, the significant majority 86.7% of the respondents belonged to lower class, about one third 40% of the respondents involved in stitching, more than half 51.7% of the respondents worked up to 6 hours per day, the majority 67.5% the of the respondents had muscular pain, and the significant majority 87.5% of the respondents had no awareness about their rights

Sonographic Incidence and Characteristics of Thyroid Nodules in Various Age Groups and Gender

Background: Thyroid nodules (TNs) are among the common diseases of the endocrine system, with 3%–7% prevalence by palpation. The prevalence by high-resolution ultrasonography among randomly selected individuals is 19%–67%, with annual increasing trends worldwide. 5% to 15% of TNs is thyroid cancer, which has become the fastest growing cancer.1 Ultrasonography has become an indispensable tool in the evaluation of thyroid nodular disease, and most patients will have had a thyroid ultrasound prior to initial surgical evaluation.9 Objective: To characterize thyroid nodules in various age groups and gender.  Methodology: In this descriptive study, among 179 patients of thyroid nodule were selected with age and gender discrimination by convenient sampling, at Department of Radiology, Lahore General hospital and Inmol Cancer hospital Lahore. Mindray Z5 and Toshiba xario 100 with linear probe of 7.5-11MHz ultrasound machine was used. Results: Out of 179 collected, 105 were females and 74 were males who visited radiology department due to thyroid nodule. It shows 58.7% females and 41.3% males patients diagnosed. Out of 179 patients 106 patients 59.2% came with irregular margins thyroid nodules and remaining 73 patients 40.8% had thyroid nodules with regular margins. 127 patients 70.9% had hyperechoic thyroid nodules and 52 patients 29.1% had hypoechoic thyroid nodules. Out of 97 patients 54.2% developed (Multi Nodular Goiter) MNG, 66 patients 36.9% developed right thyroid nodules and 16 patients 8.9% developed left thyroid nodules. Females developed 56.2% MNG, 33.3% right thyroid nodule and 10.5% left thyroid nodule while males developed 51.4% MNG, 41.9% right thyroid nodule and 6.8% left thyroid nodule. Out of 179 patients 109 (60.9%) patients shows no perfusion of blood while remaining 70 (30.1%) shows some perfusion of blood on USG. Minimum age was 5 years and maximum were 90 years while their mean was 43. Age group between 41 to 50 years most likely develop thyroid nodules.  Conclusion: In this study we conclude that females most likely develop thyroid nodules than males.  Both males and females mostly develop multi nodular goiter and least develop left thyroid nodule. Patients in 4th decade most likely develop thyroid nodules. Key words: Thyroid nodules, Ultrasonography DOI: 10.7176/JHMN/80-15 Publication date:September 30th 202

Functional Foods and Human Health: An Overview

Functional food is a whole ingredient or a part of food that used as food for specific therapeutic purposes. It is divided into two wide categories: Conventional and modified functional foods. Conventional functional Foods are composed of natural or whole-food ingredients that provide functional substances while modified functional is food or food products in which add additional ingredients for specific health purposes. Plant-based food such as fruits, vegetables, herbs, cereals, nuts and beans contain vitamins, minerals, fiber, omega-3 fatty acids, antioxidants and phenolic compounds that play a functional role in the human body against chronic diseases including cancer, cardiovascular and GIT-related disease. Some other foods or food products like juices, dairy products, fortified eggs and seafood are composed of functional components. Fish contain omega-3 fatty acids (EPA and DHA) that are played a functional role in heart health and brain development

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Metadiscursive Study of Kashmir Issue through Attitude Markers in Pakistani English Newspapers

Newspapers play a prominent role in changing the opinion of the masses through their persuasive markers. This corpus-based study aims to analyze frequencies and functions of attitude markers distributed in the editorial discourse of the Kashmir issue in two leading English newspapers of Pakistan namely The Dawn and The News. Twenty articles are selected through purposive sampling for this descriptive study to analyze the frequency and functions of Attitude markers: a subcategory of interactional markers of Hyland‘s Model (2005) in selected articles. This study also attempts to figure out whether the attitudinal markers are distributed similarly or differently in two corpora. The findings reveal that The Dawn employs more persuasive features to mold the opinion of the audience towards the Kashmir issue. The subcategories of AMs i.e. Expression of Obligation (EO) and Expression of Attitudes(EA) are found more in The Dawn than The News. Whereas, the third category Negation Expressing Counter Expectancy (NECE) is distributed equally in two corpora showing these two newspapers carry the same capabilities to position their stance with the help of negation markers

Frequency of skeletal dysplasia in children with short stature presenting to endocrine clinic: An observational study

Objective: To determine the frequency of skeletal dysplasia in children with short stature presenting to the endocrine clinic of a tertiary care hospital. Methods: This descriptive cross-sectional study was performed in the Outpatient Department of Endocrinology of National Institute of Child Health, Karachi, for 6 months of duration. A total of 200 children coming to endocrine OPD of NICH of either gender, having the age less than 14 years and height more than -2.5 SD below the mean (<3rd percentile), and growth failure (<4 cm/yr) were enrolled. A complete general physical examination including height, weight, fronto-occipital circumference (FOC), arm span, and U/L (upper/lower) segment ratio (using SI units and SDS) was performed. Results: Out of 200 children with short stature, skeletal dysplasia was diagnosed in 23 (11.5%) children with the mean age of 4.7 (±3.7) years. Proportion of skeletal dysplasia among short stature was high in females. Out of 75 girls, skeletal dysplasia was diagnosed in 10 (13.3%) girls, while out of 125 boys, skeletal dysplasia was diagnosed in 13 (10.4%) boys, whereas when we see proportion among skeletal dysplasia out of 23 children of skeletal dysplasia, 13 (56.5%) were boys, while 10 (43.5%) were girls. Conclusion: In this study, skeletal dysplasia was diagnosed in 11.5% children with short stature with the mean age of 4.7 years. It is concluded that the frequency of skeletal dysplasia in this institute is fairly high

Water Classification Using Convolutional Neural Network

The classification of water sources is a challenging task due to the low contrast texture features, the visual similarities between them, and the causes posed by image acquisition with different camera angles and placements. The various image enhancement techniques, i.e., Unsharp Masking (UM), Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and Contrast Stretching, were used to highlight the contrast and texture features of water images. The enhanced image samples were then fed to the proposed Convolutional Neural Network (CNN)-based model named WaterNet (WNet) for classification. From all employed image enhancement techniques, Contrast Limited Adaptive Histogram Equalization (CLAHE) provides better results in terms of contrast and texture features of water. CLAHE also improved the classification performance of the proposed model, with an accuracy of 97&#x0025;. For comparison, experiments have also been performed on state-of-the-art pre-trained models, which are DenseNet-201, Inception&#x005F;ResNet&#x005F;v2, Inception&#x005F;v3, and Mobile-Net. Comparison shows that the proposed technique achieves better accuracy in comparison with the state-of-the-art methods