Prevalence and Risk Factors of Asthma in School Going Children in South India

Background In India, the prevalence of asthma has increased over the last two decades especially in children and young adults. The aim of the study was to estimate the prevalence of asthma in school going children aged 5-10 and 11-15 years in the city of Coimbatore and determine the risk factors associated with it. Materials and methods A school based cross-sectional study was conducted at the urban field practice area of PSGIMSR, Coimbatore between 1st June 2011 and 31st August 2011. The questionnaire was filled by the parents and collected from the children. The data were analyzed using SPSS (11.5version). Results The prevalence of asthma among children aged 5-10 years was 9.5% (95% Confidence Interval (CI) 7.49 – 11.50) and among children aged 11-15 years was 7.27% (95% CI 5.40 – 9.14). The Risk factors significantly associated with asthma among children aged 5-10 years were positive family history of asthma (Odds Ratio (OR)=3.10, 95% CI 1.80 - 5.36), longer duration of time spent in front of television and computer (OR=2.75, 95% CI 1.44 - 5.25), having food allergies (OR=2.36, 95% CI 1.19 - 4.68), and low birth weight of the child (OR=1.79, 95% CI 1.08 - 2.98). The factors significantly associated with asthma among children aged 11-15 years were positive family history of asthma (OR=2.99, 95% CI 1.34 - 6.64), poor ventilation (OR= 4.94, 95% CI 2.72 – 8.93), and use of pillows made up of wool, foam or synthetic material (OR=2.7, 95% CI 1.31 - 5.58). Conclusion Our data suggests that there is a high prevalence of asthma among school going children in Coimbatore. Parental history of asthma was a risk factor in both age groups studied. Television viewing for more than 2 hours, low birth weight and food allergy are additional risk factors for children aged 5-10 years. Poor ventilation and use of pillows made up of wool/ foam/ synthetic material are other risk factors in 11-15 years old children. Appropriate preventive strategies may help reduce the risk of asthma. Children with low birth weight and a family history of asthma need careful evaluation and long term follow up.DOI: http://dx.doi.org/10.3126/nje.v2i1.6378 Nepal Journal of Epidemiology 2012;2 (1):171-178

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NEONATAL HYPOGLYCEMIA

The Professional Medical Journal ◽

10.29309/tpmj/2014.21.04.2312 ◽

2018 ◽

Vol 21 (04) ◽

pp. 745-749

Author(s):

Sikandar Ali Bhand ◽

Farzana Sheikh ◽

Abdul Rehman Siyal ◽

Muhammad Akber Nizamani ◽

Muhammad Saeed

Keyword(s):

Risk Factors ◽

Birth Weight ◽

Family History ◽

Low Birth Weight ◽

Gestational Age ◽

Metabolic Disorder ◽

Maternal Risk Factors ◽

Diabetic Mellitus ◽

Maternal Risk ◽

History Of

… Objective: To determine the presenting features and assessment of the neonateswith hypoglycemia along with maternal and neonatal risk factors for hypoglycemia. Subjects &methods: All consecutive neonates with hypoglycemia admitted were included in the study.Demographic characteristics of the mothers and their babies, past medical history and illnessesduring pregnancy especially that, of diabetes mellitus and duration, details of the management oflabour and place of delivery, birth asphyxia as well as history of feeding prior to admission. All therisk factors and clinical features were documented. Results: From presenting features neonateswere most common temperature instability 32% of the neonates. Maternal risk factors were asMaternal diabetic mellitus, Intrapartum administration of glucose , Maternal drug uses as: (Betablockers, Oral hypoglycemic agents, Valproate), family history of metabolic disorder and withoutany factors with the percentage 13%, 17%, (15%, 08%, 07%) , 27% and 13% respectively.Neonatal risk factors of the patients were found low birth weight 49%, small gestational age 26%,macrosomia 11%, respiratory distress 32%, sepsis 20%, hypothermia 25%, congenital cardiacabnormalities 4%, endocrine disorder 4%, family history of metabolic disorder 7%, inborn errorsof metabolism 4%, rhesus hemolytic disease 5%, erythroblastosis fetalis 1%, inadequate feeding35% and neonates without factors were 6%. Conclusions: The risk factors associate withneonatal hypoglycemia are, low birth weight, small gestational age, macrodome, respiratorydistress, sepsis, hypothermia and inadequate feeding , and maternal risk factors associate toneonatal hypoglycemia was Eclampsia, Maternal diabetic mellitus, and maternal drug uses

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Nephrocalcinosis in very low birth weight neonates: Family history of kidney stones and ethnicity as independent risk factors

The Journal of Pediatrics ◽

10.1016/s0022-3476(05)83553-x ◽

1993 ◽

Vol 122 (4) ◽

pp. 635-638 ◽

Cited By ~ 30

Author(s):

M. Gary Karlowicz ◽

Michael E. Katz ◽

Raymond D. Adelman ◽

Michael J. Solhaug

Keyword(s):

Risk Factors ◽

Birth Weight ◽

Family History ◽

Low Birth Weight ◽

Kidney Stones ◽

Very Low Birth Weight ◽

History Of ◽

Independent Risk Factors

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Study of risk factors and its correlation with constraint induced movement therapy for atherosclerosis in patients of coronary artery disease and their offspring

International Journal of Advances in Medicine ◽

10.18203/2349-3933.ijam20200656 ◽

2020 ◽

Vol 7 (3) ◽

pp. 446

Author(s):

Venugopal Margekar ◽

Shweta Thakur ◽

O. P. Jatav ◽

Pankaj Yadav

Keyword(s):

Risk Factors ◽

Family History ◽

Positive Family History ◽

Surrogate Marker ◽

Control Group ◽

Medical College ◽

Constraint Induced Movement Therapy ◽

Group Data ◽

History Of ◽

Artery Disease

Background: A significant percent of cardiovascular event occurs without well-known modifiable risk. A new tool for early identification for atherosclerosis is required for early intervention. Aims and objectives of the study was to study the risk factors for CAD and its correlation with CIMT.Methods: One hundred and forty subjects were studied for the risk factors of CAD in Department of Medicine of G.R. Medical College, Gwalior from 2012 to 2013. Out of 140 subjects, 100 were patients having CAD and 40 age matched subjects were included as control group. Data was also recorded from their offspring. High resolution B mode ultrasonography was performed to assess CIMT of carotid arteries. The maximum CIMT of any one side of carotid artery was taken for study.Results: CAD was more prevalent among males (78%). Majority of the offspring of cases had age between 28-42 years and majority were male (73%). Most common risk factors for CAD was dyslipidemia (48%), hypertension (24%), diabetes (12%) and smoking (21%), whereas in offspring’s of CAD patients, dyslipidemia was seen in 28%, hypertension in 3%, diabetes and tobacco smoking in 12% and 24% respectively. The CIMT of CAD patients was significantly increased with increasing the number of risk factors and the same pattern was also seen in controls. The CIMT of asymptomatic offspring’s having positive family history was significantly more than the asymptomatic offspring without positive family history of CAD.Conclusions: CIMT measurements can be used as a surrogate marker of atherosclerosis as it has showed a direct link with number of risk factors of CAD.

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HHEX-IDE Polymorphism Is Associated with Low Birth Weight in Offspring with a Family History of Type 1 Diabetes

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jc.2009-0970 ◽

2009 ◽

Vol 94 (10) ◽

pp. 4113-4115 ◽

Cited By ~ 9

Author(s):

Christiane Winkler ◽

Thomas Illig ◽

Kerstin Koczwara ◽

Ezio Bonifacio ◽

Anette-Gabriele Ziegler

Keyword(s):

Type 1 Diabetes ◽

Birth Weight ◽

Family History ◽

Low Birth Weight ◽

History Of

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Parkinson’s disease determinants, prediction and gene–environment interactions in the UK Biobank

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2020-323646 ◽

2020 ◽

Vol 91 (10) ◽

pp. 1046-1054 ◽

Cited By ~ 2

Author(s):

Benjamin Meir Jacobs ◽

Daniel Belete ◽

Jonathan Bestwick ◽

Cornelis Blauwendraat ◽

Sara Bandres-Ciga ◽

...

Keyword(s):

Risk Factors ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Family History ◽

Genetic Risk ◽

Positive Family History ◽

Risk Scores ◽

Uk Biobank ◽

Gene Environment ◽

History Of

ObjectiveTo systematically investigate the association of environmental risk factors and prodromal features with incident Parkinson’s disease (PD) diagnosis and the interaction of genetic risk with these factors. To evaluate whether existing risk prediction algorithms are improved by the inclusion of genetic risk scores.MethodsWe identified individuals with an incident diagnosis of PD (n=1276) and controls (n=500 406) in UK Biobank. We determined the association of risk factors with incident PD using adjusted logistic regression models. We constructed polygenic risk scores (PRSs) using external weights and selected the best PRS from a subset of the cohort (30%). The PRS was used in a separate testing set (70%) to examine gene–environment interactions and compare predictive models for PD.ResultsStrong evidence of association (false discovery rate <0.05) was found between PD and a positive family history of PD, a positive family history of dementia, non-smoking, low alcohol consumption, depression, daytime somnolence, epilepsy and earlier menarche. Individuals with the highest 10% of PRSs had increased risk of PD (OR 3.37, 95% CI 2.41 to 4.70) compared with the lowest risk decile. A higher PRS was associated with earlier age at PD diagnosis and inclusion of the PRS in the PREDICT-PD algorithm led to a modest improvement in model performance. We found evidence of an interaction between the PRS and diabetes.InterpretationHere, we used UK Biobank data to reproduce several well-known associations with PD, to demonstrate the validity of a PRS and to demonstrate a novel gene–environment interaction, whereby the effect of diabetes on PD risk appears to depend on background genetic risk for PD.

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A retrospective study on breast cancer presentation, risk factors, and protective factors in patients with a positive family history of breast cancer

The Breast Journal ◽

10.1111/tbj.13520 ◽

2020 ◽

Vol 26 (3) ◽

pp. 469-473

Author(s):

Ying Yi Liaw ◽

Foong Shiang Loong ◽

Suzanne Tan ◽

Sze Yun On ◽

Evelyn Khaw ◽

...

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Retrospective Study ◽

Family History ◽

Protective Factors ◽

Positive Family History ◽

History Of

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P990Assessment of clinical risk factors for all-cause mortality among hypertrophic cardiomyopathy patients with ICDs

European Heart Journal ◽

10.1093/eurheartj/ehz747.0583 ◽

2019 ◽

Vol 40 (Supplement_1) ◽

Author(s):

S Mielczarek ◽

P Syska ◽

M Lewandowski ◽

A Przybylski ◽

M Sterlinski ◽

...

Keyword(s):

Risk Factors ◽

Heart Failure ◽

Family History ◽

Secondary Prevention ◽

Positive Family History ◽

Left Ventricular ◽

Icd Implantation ◽

All Cause Mortality ◽

History Of ◽

End Stage

Abstract Introduction According to the literature, the annual mortality rate of hypertrophic cardiomyopathy (HCM) patients is estimated to 1–2%. Sudden cardiac death (SCD), heart failure and thromboembolism are the main causes of death among this population. Patients at high risk for SCD, identified using HCM risk score, are qualified for ICD implantation. Unfortunately for clinicians, there is no validated model or statistical tool for assessment of the risk of mortality within the HCM patients with ICDs. Purpose The aim of this study was to determine the main risk factors of all- cause mortality in HCM patients with ICDs. Methods The long-term follow-up of group of 104 consecutive patients with HCM, who had the ICD implanted between 1996 and 2006 in tertiary reference clinical unit was performed. Twenty patients who died during observation were the subject of the current analysis. ICD was implanted for primary (n=16) and secondary (n=4) prevention of SCD within this subpopulation. Analysis were performed for mentioned below potential risk factors: age at the time of implantation, syncopes, family history of SCD, atrial fibrillation/supraventricular tachycardia, decreased left ventricular ejection fraction (LVEF), non-sustained ventricular tachycardia (nsVT), maximum left ventricular wall thickness, abnormal exercise blood pressure response, left ventricular outflow tract obstruction. Results The average time of survival since ICD implantation was 8,5±4,6 years. Decreased LVEF (Wald chi2 4,57; p=0,033), secondary prevention (Wald chi2 8,57; p=0,003), family history of SCD (Wald chi2 4,93; p=0,026) and episodes of nsVT (Wald chi2 3,49; p=0,062) are the clinical risk factors that significantly affect the time of survival. The probability of death, expressed as Hazard Ratio, was 27-fold higher in secondary prevention group (HR=27,18), almost 10-fold higher in patients with positive family history of SCD (HR=9,74) and 3,7-fold higher when nsVT was detected. The cause of death was established in 16/20 patients. In 15 cases, these were deaths from cardiovascular causes: end-stage heart failure (8), complications of heart transplantation or circulatory support (4), SCD (1) and other cardiovascular (2). Conclusion Secondary prevention, positive family history of SCD, nsVT and decreased LVEF seem to be the most significant risk factors associated with all- cause mortality in HCM patients with ICDs. Despite the ICD implantation, subpopulation studied had poor prognosis with high incidence of progression to end-stage heart failure. Further studies to create validated model for assessment of death risk in long-term observation of patients with HCM after ICD implantation are required.

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Prevalence and Risk Factors for Glucose Intolerance among Saudi Women with Gestational Diabetes

Journal of Diabetes Research ◽

10.1155/2018/4282347 ◽

2018 ◽

Vol 2018 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Hayfaa Wahabi

Keyword(s):

Risk Factors ◽

Family History ◽

Gestational Diabetes ◽

Glucose Intolerance ◽

Fasting Blood Glucose ◽

Positive Family History ◽

Family History Of Diabetes ◽

Saudi Women ◽

History Of ◽

One Year

Objectives. The objective of this study was to determine the incidence and risk factors of glucose intolerance one year after delivery in women with gestational diabetes (GDM). Methods. All women who had GDM and completed one year since delivery at King Khalid University Hospital were contacted to participate in the study. Based on to the American Diabetes Association criteria and the results of fasting blood glucose (FPG) and HbA1c, participants were classified into three groups: diabetic, impaired glucose tolerance (IGT), and normal. The incidence of diabetes and IGT was calculated. Clinical, biochemical, and sociodemographic predictors of glucose intolerance were compared between the three groups. Odds ratio (OR) for risk factors with P value less than 0.05 was calculated. Results. From a total 316 eligible women, 133 fulfilled the inclusion criteria and agreed to participate in the study. From the study participants, 58 (44%) women were normoglycemic, 60 (45%) women had IGT, and 15 (11%) women were diabetic. The odds of developing IGT or diabetes increased to nearly fourfold when women needed insulin for the control of GDM during pregnancy (OR 3.8, 95% CI 0.81–18.3, P=0.08) and to nearly one-and-a-half-fold when they have positive family history of T2DM (OR 1.2, 95% CI 0.74–2.09, P=0.40). Nevertheless, none of the odds ratios was statistically significant. Conclusion. The incidence of postpartum hyperglycemia (diabetes and IGT) is very high in Saudi women with GDM. Family history of diabetes and insulin treatment of GDM may be predictors of postpartum hyperglycemia.

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