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Nevin Manimala Statistics

A novel index to assess low energy fracture risks in patients prescribed antiepileptic drugs

PLoS One. 2021 Aug 26;16(8):e0256093. doi: 10.1371/journal.pone.0256093. eCollection 2021.

ABSTRACT

OBJECTIVE: To develop an index assessing the risks of low energy fractures (LEF) in patients prescribed antiepileptic drugs (AED) by exploring five previously suggested risk factors; age, gender, AED-type, epilepsy diagnosis and BMI.

METHODS: In a population-based retrospective open cohort study we used real world data from the Electronic Health Register (EHR) in Region Kalmar County, Sweden. 23 209 patients prescribed AEDs at any time from January 2008 to November 2018 and 23 281 matching controls were followed from first registration in the EHR until the first documented LEF, disenrollment (or death) or until the end of the study period, whichever came first. Risks of LEF measured as hazard rate ratios in relation to the suggested risk factors and in comparison to matched controls were analyzed using Cox regression. The index was developed using a linear combination of the statistically significant variables multiplied by the corresponding regression coefficients.

RESULTS: Data from 23 209 patients prescribed AEDs and 2084 documented LEFs during a follow-up time of more than 10 years resulted in the Kalmar Epilepsy Fracture Risk Index (KEFRI). KEFRI = Age-category x (1.18) + Gender x (-0.51) + AED-type x (0.29) + Epilepsy diagnosis-category x (0.31) + BMI-category x (-0.35). All five previously suggested risk factors were confirmed. Women aged 75 years and older treated with an inducing AED against epilepsy and BMIs of 25 kg/m2 or below had 48 times higher LEF rates compared to men aged 50 years or younger, treated with a non-inducing AED for a condition other than epilepsy and BMIs above 25 kg/m2.

CONCLUSION: The KEFRI is the first weighted multifactorial assessment tool estimating risks of LEF in patients prescribed AEDs and could serve as a feasible guide within clinical practice.

PMID:34437569 | DOI:10.1371/journal.pone.0256093

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Nevin Manimala Statistics

To maximize or randomize? An experimental study of probability matching in financial decision making

PLoS One. 2021 Aug 26;16(8):e0252540. doi: 10.1371/journal.pone.0252540. eCollection 2021.

ABSTRACT

Probability matching, also known as the “matching law” or Herrnstein’s Law, has long puzzled economists and psychologists because of its apparent inconsistency with basic self-interest. We conduct an experiment with real monetary payoffs in which each participant plays a computer game to guess the outcome of a binary lottery. In addition to finding strong evidence for probability matching, we document different tendencies towards randomization in different payoff environments-as predicted by models of the evolutionary origin of probability matching-after controlling for a wide range of demographic and socioeconomic variables. We also find several individual differences in the tendency to maximize or randomize, correlated with wealth and other socioeconomic factors. In particular, subjects who have taken probability and statistics classes and those who self-reported finding a pattern in the game are found to have randomized more, contrary to the common wisdom that those with better understanding of probabilistic reasoning are more likely to be rational economic maximizers. Our results provide experimental evidence that individuals-even those with experience in probability and investing-engage in randomized behavior and probability matching, underscoring the role of the environment as a driver of behavioral anomalies.

PMID:34437550 | DOI:10.1371/journal.pone.0252540

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Nevin Manimala Statistics

The impact of age on genetic risk for common diseases

PLoS Genet. 2021 Aug 26;17(8):e1009723. doi: 10.1371/journal.pgen.1009723. eCollection 2021 Aug.

ABSTRACT

Inherited genetic variation contributes to individual risk for many complex diseases and is increasingly being used for predictive patient stratification. Previous work has shown that genetic factors are not equally relevant to human traits across age and other contexts, though the reasons for such variation are not clear. Here, we introduce methods to infer the form of the longitudinal relationship between genetic relative risk for disease and age and to test whether all genetic risk factors behave similarly. We use a proportional hazards model within an interval-based censoring methodology to estimate age-varying individual variant contributions to genetic relative risk for 24 common diseases within the British ancestry subset of UK Biobank, applying a Bayesian clustering approach to group variants by their relative risk profile over age and permutation tests for age dependency and multiplicity of profiles. We find evidence for age-varying relative risk profiles in nine diseases, including hypertension, skin cancer, atherosclerotic heart disease, hypothyroidism and calculus of gallbladder, several of which show evidence, albeit weak, for multiple distinct profiles of genetic relative risk. The predominant pattern shows genetic risk factors having the greatest relative impact on risk of early disease, with a monotonic decrease over time, at least for the majority of variants, although the magnitude and form of the decrease varies among diseases. As a consequence, for diseases where genetic relative risk decreases over age, genetic risk factors have stronger explanatory power among younger populations, compared to older ones. We show that these patterns cannot be explained by a simple model involving the presence of unobserved covariates such as environmental factors. We discuss possible models that can explain our observations and the implications for genetic risk prediction.

PMID:34437535 | DOI:10.1371/journal.pgen.1009723

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Nevin Manimala Statistics

Average semivariance yields accurate estimates of the fraction of marker-associated genetic variance and heritability in complex trait analyses

PLoS Genet. 2021 Aug 26;17(8):e1009762. doi: 10.1371/journal.pgen.1009762. Online ahead of print.

ABSTRACT

The development of genome-informed methods for identifying quantitative trait loci (QTL) and studying the genetic basis of quantitative variation in natural and experimental populations has been driven by advances in high-throughput genotyping. For many complex traits, the underlying genetic variation is caused by the segregation of one or more ‘large-effect’ loci, in addition to an unknown number of loci with effects below the threshold of statistical detection. The large-effect loci segregating in populations are often necessary but not sufficient for predicting quantitative phenotypes. They are, nevertheless, important enough to warrant deeper study and direct modelling in genomic prediction problems. We explored the accuracy of statistical methods for estimating the fraction of marker-associated genetic variance (p) and heritability ([Formula: see text]) for large-effect loci underlying complex phenotypes. We found that commonly used statistical methods overestimate p and [Formula: see text]. The source of the upward bias was traced to inequalities between the expected values of variance components in the numerators and denominators of these parameters. Algebraic solutions for bias-correcting estimates of p and [Formula: see text] were found that only depend on the degrees of freedom and are constant for a given study design. We discovered that average semivariance methods, which have heretofore not been used in complex trait analyses, yielded unbiased estimates of p and [Formula: see text], in addition to best linear unbiased predictors of the additive and dominance effects of the underlying loci. The cryptic bias problem described here is unrelated to selection bias, although both cause the overestimation of p and [Formula: see text]. The solutions we described are predicted to more accurately describe the contributions of large-effect loci to the genetic variation underlying complex traits of medical, biological, and agricultural importance.

PMID:34437540 | DOI:10.1371/journal.pgen.1009762

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Nevin Manimala Statistics

The 13-valent pneumococcal conjugate vaccine (PCV13) does not appear to provide much protection on combined invasive disease due to the six PCV13 non-PCV7 serotypes 1, 3, 5, 6A, 7F, and 19A in Kuwait during 2010-2019

Hum Vaccin Immunother. 2021 Aug 26:1-6. doi: 10.1080/21645515.2021.1968216. Online ahead of print.

ABSTRACT

Kuwait started immunizing children <2 y age with the 7-valent pneumococcal conjugate vaccine, PCV7 from August 2007. PCV7 was replaced by the 13-valent conjugate vaccine, PCV13 from August 2010. In a previous analysis of the results for the period, August 2010-July 2013 (period II), there was no evidence of serotype-specific protection for invasive disease against the additional six serotypes to PCV7 present in PCV13 (non-PCV7 serotypes) as evidenced by isolation from blood and cerebrospinal fluid in any of the age groups, <2 y, 2-5 y, 6-50 y, 51-65 y, and >65 y and all ages, compared to the pre-vaccination period, August 2003-July 2006 (period I). In the current study, we allowed additional time, August 2013-July 2019 (period III) for better vaccine effect and repeated the analysis. We did not find any significant decrease of invasive disease due to the non-PCV7 serotypes of PCV13 in period III and combined II and III periods compared to period I. However, these comparisons showed significant reductions for four of the six and total serotypes of PCV7, and total serotypes of PCV13. Reduction for total PCV13 serotypes was contributed by serotypes of PCV7. It appears that the six non-PCV7 serotypes in PCV13 do not offer much protection. Some contributory factors for the poor effect of the non-PCV7 serotypes may be related to few cases with underpowered statistical analysis, lack of vaccine coverage data, method of vaccine efficacy analysis based on vaccine serotypes relative to all serotypes and unusual rise in non-typeable isolates post vaccination that would have masked true serotypes.

PMID:34435932 | DOI:10.1080/21645515.2021.1968216

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Nevin Manimala Statistics

Risk Factors Affecting Mental Health During The Early Stages Of The Covid-19 Pandemic In High-Risk 50+ Population In The Czech Republic

J Gerontol Soc Work. 2021 Aug 26:1-26. doi: 10.1080/01634372.2021.1939219. Online ahead of print.

ABSTRACT

This study deals with key factors affecting mental health during the COVID-19 pandemic. The results are based on the longitudinal representative 50+ population-based multi-country panel study Survey of Health, Aging and Retirement in Europe (SHARE) in which representative samples of individuals in European countries plus Israel were collected. The goal is to turn the challenges of aging into opportunities as well as provide valid and reliable data for evidence-based policies. A total of 2,631 participants were interviewed by telephone in the Czech Republic during the initial stages of the COVID-19 outbreak in 2020. After a descriptive analysis showed that participants complied well with most preventative and protective COVID-19 measures, subsequent modeling using logistic regression analysis and a decision tree algorithm identified key determinants that have contributed to an understanding of variation in declared feelings of depression. We found that nervousness, previously unexperienced trouble with sleep, and self-rated health status before the COVID-19 outbreak and gender remained significant predictors of depression, from which statistically significant different categories concerning the percentage of depression could be formed. These identified potential risk factors should be considered in planning further supportive strategies for high-risk 50+ population.

PMID:34435934 | DOI:10.1080/01634372.2021.1939219

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Nevin Manimala Statistics

Effect of the Control Ability on Stereopsis Recovery of Intermittent Exotropia in Children

J Pediatr Ophthalmol Strabismus. 2021 Aug 1:1-5. doi: 10.3928/01913913-20210615-02. Online ahead of print.

ABSTRACT

PURPOSE: To explore the relationship between ocular position control ability and stereopsis recovery in children with intermittent exotropia, and to analyze the influencing factors of distance stereopsis recovery.

METHODS: In this retrospective study, 78 children with small angle intermittent exotropia received vision training for 3 months. All patients were examined for distance stereopsis with the synoptophore and for near stereopsis with the Titmus stereogram before and after the training. The patients were divided into low and high Newcastle Control Score (NCS) groups. The stereopsis of the two groups was compared. Logistic regression analysis was used to analyze the influencing factors of distance stereopsis recovery.

RESULTS: Among 78 children with intermittent exotropia, 33 had near stereopsis (42.3%) and 22 had distance stereopsis (28.2%); the difference was significant (P < .05). After 3 months of training, there were statistically significant differences between distance and near stereopsis in the low NCS group and the high NCS group (chi-square = 7.127, P = .008; chi-square = 13.005, P < .001). The number of children with distance and near stereopsis in the low NCS group increased significantly compared with before training (chi-square = 13.471, P < .001; chi-square = 22.244, P < .001). Multivariate logistic regression analysis showed that age of onset (odds ratio [OR] = 3.768, P = .001), near point of convergence (OR = 0.347, P = .002), and NCS (OR = 0.142, P = .002) were risk factors that affected stereopsis recovery in children with small angle intermittent exotropia.

CONCLUSIONS: Control ability is one of the important indicators to assess the severity of intermittent exotropia. The worse the control ability, the more difficult the recovery of stereopsis. Age of onset, near point of convergence, and NCS are risk factors that affect the recovery of distance stereopsis. [J Pediatr Ophthalmol Strabismus. 20XX;XX(X):XX-XX.].

PMID:34435904 | DOI:10.3928/01913913-20210615-02

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Nevin Manimala Statistics

Combined Rectus Muscle Transposition With Posterior Fixation Sutures (Augmented Knapp Procedure) for the Surgical Treatment of Double Elevator Palsy

J Pediatr Ophthalmol Strabismus. 2021 Aug 1:1-7. doi: 10.3928/01913913-20210707-02. Online ahead of print.

ABSTRACT

PURPOSE: To evaluate the surgical results of full horizontal tendon rectus muscle transposition to the superior rectus muscle insertion, augmented by posterior fixation sutures, in patients with double elevator palsy.

METHODS: In this retrospective comparative study, 17 patients treated by the augmented Knapp procedure (study group) were compared with 28 patients treated by the standard Knapp procedure (control group). Pre-operative and postoperative vertical deviation in primary position, ocular motility, binocular function, and rate of reoperation were evaluated.

RESULTS: The mean preoperative near and distance deviations (hypotropia) decreased by 93% and 97% in the study group and 68% and 69% in the control group, respectively. The improvement in near and distance deviation was statistically more significant in the study group than the control group (P = .001 for each parameter). The mean preoperative elevation deficiency in abduction and adduction improved by 64% and 66% in the study group and 37% and 39% in the control group, respectively. The improvement in elevation deficiency in abduction and adduction was statistically significantly greater in the study group than the control group (P = .001 and .04, respectively). Reoperation was required in 15 patients (54%) in the control group and 2 (12%) in the study group during the follow-up period of 26 ± 4 months.

CONCLUSIONS: The postoperative improvement in near and distance deviation and elevation deficiency in abduction and adduction was significantly better in the augmented Knapp procedure than the standard Knapp procedure. This procedure demonstrated a stronger effect in the treatment of double elevator palsy. [J Pediatr Ophthalmol Strabismus. 20XX;X(X):XX-XX.].

PMID:34435907 | DOI:10.3928/01913913-20210707-02

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Nevin Manimala Statistics

The Relationship between Adults’ Perceptions, Attitudes of COVID-19, Intuitive Eating, and Mindful Eating Behaviors

Ecol Food Nutr. 2021 Aug 26:1-20. doi: 10.1080/03670244.2021.1968849. Online ahead of print.

ABSTRACT

In total, 1224 Turkish adults (27.5 ± 9.6 years; 80.6% female) answered sociodemographic questions, and three instruments: Mindful Eating Questionnaire (MEQ), Intuitive Eating Scale-2 (IES-2), and COVID-19 Perception and Attitude Scale. Women’s perceptions and attitudes toward COVID-19 indicated higher concerns than men (p < .001). It was found that IES-2 scores of all subjects increased as body mass index (BMI) decreased and education level increased (p < .001; p = .033, respectively). During the social isolation of COVID-19, the MEQ scores of married couples and those who did not eat take-out foods were higher (p = .027; p = .006, respectively). Interestingly, it was found that as the BMI of the subjects increased, their MEQ scores increased (p < .001). The COVID-19 pandemic, which has social and economic consequences, has a great impact on human health and causes sudden lifestyle changes through social distance and isolation at home. Although social isolation during the epidemic is a necessary precaution to protect public health, the results of this study support that it causes changes in intuitive eating, and mindful eating behaviors.

PMID:34435919 | DOI:10.1080/03670244.2021.1968849

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Nevin Manimala Statistics

Anxiety and fear related to coronavirus disease 2019 assessment in the Spanish population: A cross-sectional study

Sci Prog. 2021 Jul-Sep;104(3):368504211038191. doi: 10.1177/00368504211038191.

ABSTRACT

BACKGROUND: The coronavirus disease 2019 pandemic has affected millions of people worldwide, compromising the responsiveness of governments and states and thus generating anxiety and fear at the population level.

OBJECTIVE: To assess the level of anxiety and fear of coronavirus disease 2019 in a Spanish adult population group.

METHODS: A descriptive cross-sectional study, using the anxiety and fear of COVID-19 assessment scale (AMICO, for its acronym in Spanish). The sample was composed of 1038 subjects. Univariate and bivariate statistical analyses were performed, after analysis of normality in the data distribution. Categorical regression analyses were also executed.

FINDINGS: The total sample size was 1036 subjects, 56.3% was made up of females, with a mean age of 48.11 years (SD = 15.13). The mean score obtained on the AMICO scale was 5.54 points (SD = 1.83), with a score range between 1.22 and 10. Bivariate analysis only demonstrated statistically significant differences in the mean score of the scale and the variables: sex, marital status, work area and academic level. The executed categorical regression analysis revealed an R2 value of 0.75 and a significance of p = 0.00.

CONCLUSIONS: The results obtained show that the Spanish population presents moderate anxiety levels to coronavirus disease 2019. Women, married, with primary and/or secondary education level, and working in the public transport, services and/or hospitality sectors are more likely to have high levels of fear and anxiety.

APPLICATION TO PRACTICE: These results could be used for therapeutic and preventive psychological interventions, and also to plan new research under sex perspective and observing the socio-economic environment.

PMID:34435895 | DOI:10.1177/00368504211038191