15 research outputs found

    Undernutrition and Its Correlates among Children of 3–9 Years of Age Residing in Slum Areas of Bhubaneswar, India

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    Undernutrition among children is a major public health concern worldwide, more prevalent in Asia and Africa. It manifests itself in various forms such as wasting or stunting or underweight and retards physical and mental development, increases susceptibility to infection, and reduces educational attainment and productivity. The present study was undertaken to assess the level of wasting, stunting, and underweight and determine its associates among slum children of 3–9 years of age, residing in Bhubaneswar city, India. After obtaining informed consent, a total of 249 children from 249 households were studied and their parents/guardians were interviewed to collect all relevant information. 23.3%, 57.4%, and 45.4% of children were found to have wasting, stunting, and underweight, respectively. Variables like birth order of child, period of initiation of breastfeeding and mother’s education were found to be strong predictors of wasting, whereas toilet facility in household and practice of drinking water storage were significantly associated with stunting among slum children as revealed in multiple regression analysis. Thus, a multipronged approach is needed such as giving priority to improve education for slum community especially for women, creating awareness regarding benefits of early initiation of breastfeeding, small family size, and proper storage of drinking water, and providing toilet facility in slum households which could improve the nutritional status of slum children

    A Narrative Review on Priorities of Mental Health Issues among Transgenders: “So Near, Yet so Far”

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    In recent years there is a rapid rise in coming out of sexual and gender minority adults to their family members and society. Unfortunately, studies on unmet health needs of transgenders with a special focus to mental health is under-researched in India. The current paper aimed to explore about the mental health of transgenders and a literature search was done using PubMed, Google Scholar, and Scopus databases for the following medical subject headings (MeSH) key terms “transgender”, “mental Health”, “social stigma”, “LGBT”, “gender dysphoria”, “genderqueer”, “intersex”, “MSM”, “hijra”, “gay”, “lesbian”, “bisexual”, and “homosexual”. Transgender individuals were found to show high rates of mental health concerns. The most common mental health problems that we have shown in this review article are depression, obsessive-compulsive disorders, generalized anxiety disorders, suicidal attempts and bipolar disorders. Transgender people are at more risk for mental health problems than their heterogenous counterparts. The intervention program to eliminate or reduce these problems needs to be planned carefully, considering all the determinants

    Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk–outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. Findings: Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7–9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4–9·2]), smoking (5·7% [4·7–6·8]), low birthweight and short gestation (5·6% [4·8–6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8–6·0]). For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9–21·7] for high BMI and 7·9% [3·3–12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6–1·9) for high BMI and 1·3% (1·1–1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4–78·8) for child growth failure and 66·3% (60·2–72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). Interpretation: Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions

    Health impact on women using solid cooking fuels in rural area of Cuttack district, Odisha

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    Background: Around 3 billion people use solid fuels (biomass and coal) for cooking and heating, and this number is expected to grow until at least 2030. Around 73.7% of households in rural Odisha use wood for cooking. This current study is an attempt to evaluate the impact of solid cooking fuels on health of rural women in age group of 20–40 years and to study the relationship between the duration of exposure to cooking fuels and various health problems. Materials and Methods: This cross-sectional study was carried out in a village which is under the field practice area of the rural health and training centre, under Department of Community Medicine, Kalinga Institute of Medical Sciences. Universal sampling technique was adopted for sample selection. Chi-square test was used to find the association between cooking fuel usage and self-reported symptoms. Results: Dry cough was the most common presenting symptom (15.03%), followed by eye and nose irritation present in nearly 12% each among the study participants. Headache, dry cough, and hypertension (HT) was found to associated with number of cooking years and was also found to be statistically significant (P = 0.03, 0.02 and 0.0065, respectively). Discussion: Our study clearly indicated that the exposure to biomass fuel smoke is significantly associated with the prevalence of symptoms of headache, dry cough, and HT. Further research is required for improving information on dose-response relationships between indoor air pollution and various health effects. Conclusion: The morbidities were increased with increase in duration of cooking . Knowledge related to health effects of cooking fuels seems to be poor among the participants

    First evidence of sternal wound biofilm following cardiac surgery.

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    Management of deep sternal wound infection (SWI), a serious complication after cardiac surgery with high morbidity and mortality incidence, requires invasive procedures such as, debridement with primary closure or myocutaneous flap reconstruction along with use of broad spectrum antibiotics. The purpose of this clinical series is to investigate the presence of biofilm in patients with deep SWI. A biofilm is a complex microbial community in which bacteria attach to a biological or non-biological surface and are embedded in a self-produced extracellular polymeric substance. Biofilm related infections represent a major clinical challenge due to their resistance to both host immune defenses and standard antimicrobial therapies. Candidates for this clinical series were patients scheduled for a debridement procedure of an infected sternal wound after a cardiac surgery. Six patients with SWI were recruited in the study. All cases had marked dehiscence of all layers of the wound down to the sternum with no signs of healing after receiving broad spectrum antibiotics post-surgery. After consenting patients, tissue and/or extracted stainless steel wires were collected during the debridement procedure. Debrided tissues examined by Gram stain showed large aggregations of Gram positive cocci. Immuno-fluorescent staining of the debrided tissues using a specific antibody against staphylococci demonstrated the presence of thick clumps of staphylococci colonizing the wound bed. Evaluation of tissue samples with scanning electron microscope (SEM) imaging showed three-dimensional aggregates of these cocci attached to the wound surface. More interestingly, SEM imaging of the extracted wires showed attachment of cocci aggregations to the wire metal surface. These observations along with the clinical presentation of the patients provide the first evidence that supports the presence of biofilm in such cases. Clinical introduction of the biofilm infection concept in deep SWI may advance the current management strategies from standard antimicrobial therapy to anti-biofilm strategy

    Demographic characteristics of patients (n = 9) and SWI status.

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    <p>M, male, F, female; AKI, acute kidney disease; BMI, body mass index, CAD, coronary artery disease; CGH, coronary heart disease; DM, diabetes mellitus; END, endocarditis; GERD, gastro esophageal reflux disease; HTN, hypertension; HTN- P, Pulmonary hypertension; HLD, hyperlipidemia; RD, renal dysfunction; COPD, chronic obstructive pulmonary disease; PVD, peripheral vascular disease; OSA, obstructive sleep apnea; RHD, rheumatic heart disease; CABG, coronary artery bypass graft; MVR, mitral valve replacement; LVAD, left ventricular assisted device; PM, pace maker; RV, right ventricle; N, negative; MSSA, Methicillin-sensitive <i>Staphylococcus aureus</i>; MRSA, Methicillin-resistant <i>Staphylococcus aureus;</i> SVT, supraventricular tachycardia.</p

    MRSA Strain USA300 biofilm exhibits enhanced tolerance to tobramycin when grown as a biofilm on surgical wires.

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    <p>USA300 was used to inoculate in vitro wells containing sections of wire. Planktonic bacteria and wire-associated biofilms were challenged with 10 ug/ml of tobramycin for 2 hours. Bacteria tolerant to antibiotic challenge were enumerated using viability plating and compared to untreated parallel controls. Percent survivability of triplicate cultures is represented. nd, not detected, ns, not significant. Data are mean±SD (n = 3), *p<0.05 compared to untreated planktonic (Mann Whitney test).</p

    Digital photos and gram staining of deep sternal wound infection in two patients scheduled for a debridement procedure.

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    <p>(A) Digital photos of the infected sternal wounds. Note the signs of active infection with localized erythema, exudates, friable wound edges and sternal instability. Sternal wires were removed before the debridement procedure. (B) Gram-Twort staining of debrided tissues taken of infected sternal wound showing clumps of Gram-positive cocci (arrows in right panel). Left panel, scale bar = 50 ”m, 400x magnification. Right panel is the zoom of the dashed boxed area in the left panel (scale bar = 50 ”m).</p

    Confocal laser scanning microscopy images showing three dimensional presence of staphylococci in infected debrided wound tissue.

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    <p>Z-stack image created by merging serial scans of thick tissue section (20 ”m), viewed under 600x magnification confocal laser scanning microscopy. Showing in the <i>x/y</i> plane clumps of staphylococci colonizing the debrided tissues (red), while the <i>x/z</i> and <i>y/z</i> planes display the depth of the colonization throughout the tissue section. Three-dimensional orthogonal projections of z-stack image in panel (oriented in two different planes) showing of staphylococci aggregates biomass within the debrided tissues.</p

    Presence of staphylococci within the infected debrided wound tissues.

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    <p>Representative confocal microscopy images of debrided tissue using immunofluorescence staining (debrided tissues was counterstained red with Phalloidin). Note large aggregates of staphylococci (intense green granular stain) colonizing the debrided tissues of infected sternal wound (lower panels), while tissues taken from a non-infected sternal wound during resternotomy (upper panels) show no colonization with staphylococci. Scale bar = 50 ”m, 400x magnification. (SWI: sternal wound infection). Right panel is the zoom of the dashed boxed area in the left panel (scale bar = 20 ”m).</p
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