Dermatoglyphics as a Novel Method for Assessing Intelligence Quotient in Children Aged 5–11 Years: A Cross-sectional Study

Abstract Objective: To determine the usefulness of adjusting antibiotic use (AU) by prevalence of bacterial isolates as an alternative method for risk adjustment beyond hospital characteristics. Design: Retrospective, observational, cross-sectional study. Setting: Hospitals in the southeastern United States. Methods: AU in days of therapy per 1,000 patient days and microbiologic data from 2015 and 2016 were collected from 26 hospitals. The prevalences of Pseudomonas aeruginosa, extended-spectrum β-lactamase (ESBL)–producing bacteria, methicillin-resistant Staphylococcus aureus (MRSA), and vancomycin-resistant enterococci (VRE) were calculated and compared to the average prevalence of all hospitals in the network. This proportion was used to calculate the adjusted AU (a-AU) for various categories of antimicrobials. For example, a-AU of antipseudomonal β-lactams (APBL) was the AU of APBL divided by (prevalence of P. aeruginosa at that hospital divided by the average prevalence of P. aeruginosa). Hospitals were categorized by bed size and ranked by AU and a-AU, and the rankings were compared. Results: Most hospitals in 2015 and 2016, respectively, moved ≥2 positions in the ranking using a-AU of APBL (15 of 24, 63%; 22 of 26, 85%), carbapenems (14 of 23, 61%; 22 of 25; 88%), anti-MRSA agents (13 of 23, 57%; 18 of 26, 69%), and anti-VRE agents (18 of 24, 75%; 15 of 26, 58%). Use of a-AU resulted in a shift in quartile of hospital ranking for 50% of APBL agents, 57% of carbapenems, 35% of anti-MRSA agents, and 75% of anti-VRE agents in 2015 and 50% of APBL agents, 28% of carbapenems, 50% of anti-MRSA agents, and 58% of anti-VRE agents in 2016. Conclusions: The a-AU considerably changes how hospitals compare among each other within a network. Adjusting AU by microbiological burden allows for a more balanced comparison among hospitals with variable baseline rates of resistant bacteria.

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KEMAMPUAN INTELLIGENCE QUOTIENT (IQ) MAHASISWA FAKULTAS KEDOKTERAN UNIVERSITAS SAM RATULANGI

Jurnal e-Biomedik ◽

10.35790/ebm.2.3.2014.5741 ◽

2014 ◽

Vol 2 (3) ◽

Author(s):

Rinto Mangiwa ◽

H. I. S. Wungouw ◽

D. H. C. Pangemanan

Keyword(s):

Intelligence Quotient ◽

Social Background ◽

Cross Sectional Study ◽

The Other ◽

Survey Study ◽

Sectional Study ◽

Cross Sectional ◽

Measurement Capability ◽

The Difference ◽

Descriptive Survey

Abstract: In education, intelligence utilized to determine the extent of achievement of learning that can be achieved by an individual. Intelligence factors that result in the difference between someone with another intelligence is innate, environmental, physical condition, social background and socioeconomic. Research purposes to describe the ability of qoutient intelligence ( IQ ). Descriptive survey study was conducted using the method of cross -sectional study to measure the ability of student’s Intelligence Quotient ( IQ ) of the Faculty of Medicine, University of Sam Ratulangi. Number of respondents 100 people, consisting of 50 men and 50 women. Based on the results obtained IQ `measurement capability results in 11 respondents ( 22 % ) of male respondents have the ability IQ with Superior category, the other 11 people ( 22 % ) categorized as Above Average, the remaining 28 men ( 56 % ) had Average IQ ability . Women on the ability of IQ respondents only 1 ( 2 % ) are categorized as Superior, 9 people ( 18 % ) categorized as Above Average, and the remaining 40 ( 80 % ) were classified as having the ability IQ category average. Keywords: Intelligence Capabilities Qoutien, Student’s. Abstrak: Dalam bidang pendidikan, intelegensi dimanfaatkan untuk mengetahui sejauh mana prestasi belajar yang dapat dicapai oleh suatu individu. Faktor-faktor intelegensi yang mengakibatkan terjadinya perbedaan antara intelegensi seseorang dengan yang lain yaitu pembawaan, lingkungan hidup, kondisi fisik, latar belakang sosial ekomoni dan pendidikan. Tujuan penelitian untuk mengetahui gambaran kemampuan intelligence qoutient (IQ). Penelitian dilakukan secara survey deskriptif dengan mengunakan metode cross sectional study untuk mengukur kemampuan Intelligence Quotient (IQ) mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Jumlah responden 100 orang, terdiri dari Laki-laki 50 orang dan Perempuan 50 orang. Berdasarkan hasil penelitian pengukuran kemampuan IQ diperoleh hasil pada responden 11 orang (22%) responden laki-laki memiliki kemampuan IQ dengan kategori Superior, sebanyak 11 orang (22%) masuk kategori diatas rata-rata, sisanya 28 orang (56%) memiliki kemampuan IQ rata-rata. Pada responden perempuan pada kemampuan IQ hanya 1 orang (2%) yang masuk kategori Superior, 9 orang (18%) masuk kategori diatas rata-rata, dan sisanya 40 orang (80%) memiliki kemampuan IQ yang tergolong kategori rata-rata. Kata kunci: Kemampuan Intelligence Qoutient, mahasiswa.

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The negative impact of living environment on intelligence quotient of primary school children in Baghdad City, Iraq: a cross-sectional study

BMC Public Health ◽

10.1186/1471-2458-12-562 ◽

2012 ◽

Vol 12 (1) ◽

Cited By ~ 3

Author(s):

Hasanain Faisal Ghazi ◽

Zaleha Md Isa ◽

Syed Aljunid ◽

Shamsul Azhar Shah ◽

Azmi Mohd Tamil ◽

...

Keyword(s):

Primary School ◽

School Children ◽

Intelligence Quotient ◽

Negative Impact ◽

Cross Sectional Study ◽

Living Environment ◽

Primary School Children ◽

Sectional Study ◽

Cross Sectional

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NILAI INTELLIGENCE QUOTIENT (IQ) DAN NILAI UJIAN MODUL MAHASISWA ANGKATAN 2013 FAKULTAS KEDOKTERAN UNIVERSITAS SAM RATULANGI

Jurnal e-Biomedik ◽

10.35790/ebm.2.1.2014.3644 ◽

2014 ◽

Vol 2 (1) ◽

Author(s):

Patrick Reteng

Keyword(s):

Academic Achievement ◽

Medical Education ◽

Undergraduate Students ◽

Test Score ◽

Intelligence Quotient ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Iq Test ◽

Predictor Of Success

Abstract: Intelligence quotient (IQ) is an assessment of someone’s cognitive ability. The paradigm places IQ as the only predictor of success in education. Nowadays, most of universities in Indonesia place IQ score as one of the entrance requirement. However, this presumption remains controversy. Some studies show that IQ score correlates with academic achievement, while some other studies show a contrary result. This study was carried out to correlate test score with IQ score of students. This is a cross-sectional study that was conducted to 100 undergraduate students of Medical Faculty of Sam Ratulangi University. IQ score was assessed using Intelligenz Struktur Test (IST), while test score was obtained from medical education module’s test; the first module they learned in Medical School. This study found a positively moderate and significant correlation between IQ and test score (r = 0.391; p < 0.01). Keywords: IQ, test score Abstrak: Intelligence Quotient (IQ) merupakan suatu bentuk penaksiran kemampuan kognitif seseorang. Paradigma saat ini menempatkan IQ sebagai satu-satunya tolak ukur kesuksesan di dunia pendidikan. Saat ini sejumlah perguruan tinggi menggunakan IQ sebagai salah satu syarat penerimaan mahasiswa. Namun demikian, IQ sebagai prediktor kesuksesan seseorang dalam dunia pendidikan masih kontroversi. Beberapa penelitian menujukkan IQ memiliki hubungan dengan nilai, namun beberapa penelitian menunjukkan hasil yang sebaliknya. Oleh karena itu penelitian ini bermaksud untuk mengetahui hubungan antara IQ dengan hasil ujian mahasiswa. Penelitian ini merupakan suatu penelitian potong lintang yang dilakukan terhadap 100 orang mahasiswa angkatan 2013 Fakultas Kedokteran Universitas Sam Ratulangi. Nilai IQ didapatkan melalui Intelligenz Struktur Test (IST), sedangkan nilai ujian yang diambil adalah nilai ujian modul pendidikan kedokteran. Hasil penelitian ini menunjukkan adanya hubungan positif sedang yang signifikan antara IQ dengan nilai ujian modul pendidikan kedokteran (r = 0,391; p < 0,01). Kata Kunci: IQ, nilai ujian

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A Novel Method for Measuring Myocardial Performance Index using Non-contact Ballistocardiogram System

Cardiology and Angiology An International Journal ◽

10.9734/ca/2021/v10i430173 ◽

2021 ◽

pp. 1-12

Author(s):

K. R. Nishanth ◽

Aashit Singh ◽

Gaurav Parchani ◽

Gulshan Kumar ◽

Vibhor Saran ◽

...

Keyword(s):

Systolic Time Intervals ◽

Cross Sectional Study ◽

Strong Positive Correlation ◽

Sectional Study ◽

Tei Index ◽

Time Intervals ◽

Cross Sectional ◽

Calculation Algorithms ◽

Systolic Time ◽

Novel Method

Aim: The aim was to validate the Systolic Time Intervals (STI) measured by Ballistocardiography (BCG) with STI derived from simultaneously performed Transthoracic Echocardiogram (TTE) and attempt to create an AI algorithm that automatically calculates Tei Index from BCG tracings. Study design: Cross-sectional study. Place and Duration of Study: Department of Cardiology and Department of Electrophysiology of Sri Jayadeva Institute of Cardiovascular Sciences & Research, Bangalore, India, between January 2020 and January 2021. Methodology: Two hundred seventy-four patients with clinically indicated TTE were enrolled in the study, average age was 52. Simultaneous recordings on BCG and TTE were done. 150 patients had clinically usable TTE images for accurate calculations. STI was calculated independently by operators experienced in TTE and BCG. Results were compared using Pearson’s R. A proprietary AI algorithm for automatically calculating the MPI, was trained over a subset of patients. Its accuracy in detecting STI was compared to that of TTE and manually calculated STI from BCG. Results: There was a strong positive correlation (r=0.766, P<0.00, 99%CI [0.691,0.824]) between the TTE and BCG derived MPI values. The result was validated over predetermined subgroups of subjects with reduced EF (EF<50) and subjects with normal EF (EF>=50). The AI algorithm had correlation of 0.54(p<0.01) with the MPI calculated by TTE and 0.34(P<0.10) with the manually calculated MPI on the BCG. Conclusion: BCG derived manual and automated MPI correlates well with TTE derived MPI in a variety of EF fraction subgroups. Automated calculation algorithms for MPI derived from BCG remain a work under progress.

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