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Nevin Manimala Statistics

Cesarean birth rates among migrants in Europe: A systematic review

Birth. 2023 Mar 20. doi: 10.1111/birt.12718. Online ahead of print.

ABSTRACT

BACKGROUND: Cesarean birth (CB) rates have increased over recent years with concerns over differences between these rates in migrant communities compared with the rates among women in their receiving country. This review aimed at summarizing the available literature regarding the incidence of CB among migrants in Europe.

METHODS: A systematic search of four electronic databases was carried out, including CINAHL, MEDLINE, Scopus, and Maternity and Infant Care. Identified studies were screened and their quality assessed. Meta-analysis was undertaken using Rev Man 5.4 where sufficient data were available. Otherwise, data were synthesized narratively.

RESULTS: From the 435 records identified in searches, 21 papers were included. Analysis shows that overall CB rates were significantly lower for Syrian refugee women compared with women in their receiving country (Turkey) and higher for Iranian migrants than women in their host country. Emergency CB rates were significantly higher for migrant women from “Sub Saharan Africa” and the “South East Asia, Asia and Pacific” region than rates in the receiving country. Statistical significance was not found between other populations.

CONCLUSIONS: This review highlights differences between CB rates in certain migrant groups in comparison with women native to their host country, which merits further investigation for potential explanations. We also identified a need to standardize definitions and population groupings to enable more meaningful analysis. This review also highlights a substantial lack of data on CB rates between different population groups that could negatively impact the provision of care.

PMID:36939837 | DOI:10.1111/birt.12718

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Nevin Manimala Statistics

Influence of Internet-Based Health Management on Control of Clinical Parameters in Patients With Hypertension: Four-Year Longitudinal Study

J Med Internet Res. 2023 Mar 20;25:e42896. doi: 10.2196/42896.

ABSTRACT

BACKGROUND: In recent years, more and more studies have shown that internet-based health management can help patients with hypertension control their blood pressure. However, there is a lack of similar research in China.

OBJECTIVE: We designed this study to clarify the impact of long-term internet-based health management on the control of clinical parameters in patients with hypertension. These results are also expected to identify the relevant factors affecting the control of clinical parameters in hypertension more accurately toward developing more targeted health management strategies.

METHODS: This was a longitudinal study of internet-based health management in the five provinces of northwest China. The inclusion criteria were aged ≥18 years and no serious cognitive disease or mental disorder. After collecting the physical examination data of 8567 people in the five northwest provinces in 2013, we conducted online health management (including diet, exercise, and behavior) and follow-up. In the physical examination in 2013, 1008 new patients with hypertension were identified, who were divided into a good blood pressure control group and poor blood pressure control group. Physical examination and a questionnaire survey were conducted every 2 years to understand the changes of health management on the subjects’ health-related behaviors. We then analyzed the changes of clinical indicators related to hypertension and the influencing factors related to blood pressure control in patients with hypertension. All statistical analyses were performed using R software (version 4.1.2) and a P value <.05 was considered statistically significant.

RESULTS: A total of 8567 people met the inclusion criteria and underwent health management. Self-comparison showed that after 4 years of health management, the smoking cessation rate and amount of exercise significantly increased (both P<.001). The low-density lipoprotein-cholesterol levels also increased (P=.005), whereas the high-density lipoprotein-cholesterol levels decreased (P=.007). The newly discovered patients with hypertension in 2013 were further screened. After 4 years of health management, their smoking cessation rate increased significantly (P=.03) and the amount of exercise increased but not significantly (P=.08). In terms of clinical indicators, the diastolic blood pressure considerably decreased (P<.001) and the systolic blood pressure slightly decreased (P=.13). The correlation analysis of blood pressure control in patients with new-onset hypertension showed that gender (female) and changing relevant factors according to health management behaviors (BMI; cereals and potatoes intake; fish, livestock meat, and eggs intake; fruit intake; and physical activity) were the protective factors of blood pressure control.

CONCLUSIONS: Internet-based health management has a significant and long-term effect on blood pressure control in patients with hypertension.

PMID:36939826 | DOI:10.2196/42896

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Investigation of the predictors of temporomandibular disorders in engineers across different variables: sociodemographic characteristics, neck pain and neck awareness

Somatosens Mot Res. 2023 Mar 20:1-7. doi: 10.1080/08990220.2023.2188931. Online ahead of print.

ABSTRACT

PURPOSE/AIM: This study aimed to investigate the predictors of temporomandibular disorders (TMD) in desk-bound engineers.

MATERIALS AND METHODS: The Fonseca Anamnestic Index (FAI), The Visual Analogue Scale (VAS), The Neck Pain and Disability Scale (NPDS), Neck Bournemouth Questionnaire (NBQ) and The Fremantle Neck Awareness Questionnaire-Turkish (FreNAQ-T) were used for TMD severity, pain, disability, neck awareness.

RESULTS: The study was conducted with 208 desk-bound engineers. Mild-to-severe TMD was detected in 78.9% of the subjects. Intensity of pain at rest and during activity was higher in female engineers compared to male engineers (p = 0.002 and <0.01, respectively) and mean FAI, NBQ, NPDS and FreNAQ-T scores were also higher than that of male engineers (p = 0.005, 0.005, 0.006 and 0.016, respectively). FAI, VAS, NPDS, NBQ and FreNAQ-T were found to be correlated with each other (p < 0.05). A statistically significant contribution to the regression model was observed for the variables gender, daily duration of computer use, neck pain at rest, and NBQ (p = 0.043, p = 0.043, p = 0.031 and p = 0.003, respectively). NBQ was identified as the most influential variable in this model, followed by neck pain at rest.

CONCLUSIONS: Temporomandibular disorders are common among desk-bound engineers and are associated with neck pain, disability, and neck awareness. For this reason, it is important to take preventive and protective ergonomic approaches at the personal and institutional levels in desk-bound engineers.

PMID:36939816 | DOI:10.1080/08990220.2023.2188931

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Nevin Manimala Statistics

Computerization of the Work of General Practitioners: Mixed Methods Survey of Final-Year Medical Students in Ireland

JMIR Med Educ. 2023 Mar 20;9:e42639. doi: 10.2196/42639.

ABSTRACT

BACKGROUND: The potential for digital health technologies, including machine learning (ML)-enabled tools, to disrupt the medical profession is the subject of ongoing debate within biomedical informatics.

OBJECTIVE: We aimed to describe the opinions of final-year medical students in Ireland regarding the potential of future technology to replace or work alongside general practitioners (GPs) in performing key tasks.

METHODS: Between March 2019 and April 2020, using a convenience sample, we conducted a mixed methods paper-based survey of final-year medical students. The survey was administered at 4 out of 7 medical schools in Ireland across each of the 4 provinces in the country. Quantitative data were analyzed using descriptive statistics and nonparametric tests. We used thematic content analysis to investigate free-text responses.

RESULTS: In total, 43.1% (252/585) of the final-year students at 3 medical schools responded, and data collection at 1 medical school was terminated due to disruptions associated with the COVID-19 pandemic. With regard to forecasting the potential impact of artificial intelligence (AI)/ML on primary care 25 years from now, around half (127/246, 51.6%) of all surveyed students believed the work of GPs will change minimally or not at all. Notably, students who did not intend to enter primary care predicted that AI/ML will have a great impact on the work of GPs.

CONCLUSIONS: We caution that without a firm curricular foundation on advances in AI/ML, students may rely on extreme perspectives involving self-preserving optimism biases that demote the impact of advances in technology on primary care on the one hand and technohype on the other. Ultimately, these biases may lead to negative consequences in health care. Improvements in medical education could help prepare tomorrow’s doctors to optimize and lead the ethical and evidence-based implementation of AI/ML-enabled tools in medicine for enhancing the care of tomorrow’s patients.

PMID:36939809 | DOI:10.2196/42639

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Nevin Manimala Statistics

Causal Association of Cardiac Function by Magnetic Resonance Imaging with Frailty Index: A Mendelian Randomization Study

Phenomics. 2022 Sep 29;2(6):430-437. doi: 10.1007/s43657-022-00072-z. eCollection 2022 Dec.

ABSTRACT

Owing to the susceptibility of conventional observational studies to confounding factors and reverse causation, the causal association between cardiac function and frailty is unclear. We aimed to investigate whether cardiac function has causal effects on frailty. In this study, a two-sample Mendelian randomization (MR) study was conducted using genetic variants associated with cardiac function assessed by magnetic resonance imaging phenotypes as instrumental variables. Genetic variants associated with cardiac function by magnetic resonance imaging (including seven cardiac function phenotypes) and the frailty index (FI) were obtained from two large genome-wide association studies. MR estimates from each genetic instrument were combined using inverse variance weighted (IVW), weighted median, and MR‒Egger regression methods. We found that the increase in genetically determined stroke volume (beta – 0.13, 95% CI – 0.16 to – 0.10, p = 1.39E-6), rather than other cardiac phenotypes, was associated with lower FI in MR analysis of IVW after Bonferroni correction. Sensitivity analyses examining potential bias caused by pleiotropy or reverse causality revealed similar findings (e.g., intercept [SE], – 0.008 [0.011], p = 0.47 by MR‒Egger intercept test). The leave-one-out analysis indicated that the association was not driven by single nucleotide polymorphisms. No evidence of heterogeneity was found among the genetic variants (e.g., MR‒Egger: Q statistic = 14.4, p = 0.156). In conclusion, we provided evidence that improved cardiac function could contribute to reducing FI. These findings support the hypothesis that enhancing cardiac function could be an effective prevention strategy for frailty.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43657-022-00072-z.

PMID:36939795 | PMC:PMC9712899 | DOI:10.1007/s43657-022-00072-z

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Nevin Manimala Statistics

Preoperative Characteristics of Ocular Biometry in Children with Unilateral Congenital Cataracts

Phenomics. 2022 Feb 22;2(2):136-144. doi: 10.1007/s43657-021-00040-z. eCollection 2022 Apr.

ABSTRACT

The ocular biometry characteristics are clinically significant for children with unilateral congenital cataracts, but there is a lack of data analysis concerning the preoperative measurements. The axial length (AL), mean keratometry (Km), corneal astigmatism (CA), and the anterior chamber depth (ACD) from both eyes before cataract surgery were obtained from 205 patients (410 eyes, 3-15 years of age) with unilateral congenital cataracts. In the congenital cataract eyes, shorter AL (22.44 ± 1.52 mm vs. 22.57 ± 1.04 mm, p = 0.036) and higher CA (- 1.89 ± 0.91 D vs. – 1.24 ± 0.67 D, p < 0.001) were found, and no significant difference was found in the Km and the ACD measurements compared to the contralateral normal eyes. Females had shorter AL and shallower ACD compared to males. However, the Km and CA in the females were significantly larger than that in males. Shorter AL, larger Km, higher CA, and shallower ACD were also found in females who had a binocular axial difference (the value obtained by subtraction of the contralateral normal eye from the congenital cataract eye) that less than zero. The preoperative ocular biometry of shorter AL, larger Km, higher CA, and shallower ACD should be considered in females with unilateral congenital cataracts. The age and the binocular axial differences had a statistically significant correlation (r = -0.192, p = 0.006). Therefore, changes in the binocular axial differences associated with aging may enhance the guidelines for intraocular lens selection and the management of congenital cataracts.

PMID:36939791 | PMC:PMC9590497 | DOI:10.1007/s43657-021-00040-z

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Nevin Manimala Statistics

A Comprehensive Review of High Throughput Phenotyping and Machine Learning for Plant Stress Phenotyping

Phenomics. 2022 Apr 4;2(3):156-183. doi: 10.1007/s43657-022-00048-z. eCollection 2022 Jun.

ABSTRACT

During the last decade, there has been rapid adoption of ground and aerial platforms with multiple sensors for phenotyping various biotic and abiotic stresses throughout the developmental stages of the crop plant. High throughput phenotyping (HTP) involves the application of these tools to phenotype the plants and can vary from ground-based imaging to aerial phenotyping to remote sensing. Adoption of these HTP tools has tried to reduce the phenotyping bottleneck in breeding programs and help to increase the pace of genetic gain. More specifically, several root phenotyping tools are discussed to study the plant’s hidden half and an area long neglected. However, the use of these HTP technologies produces big data sets that impede the inference from those datasets. Machine learning and deep learning provide an alternative opportunity for the extraction of useful information for making conclusions. These are interdisciplinary approaches for data analysis using probability, statistics, classification, regression, decision theory, data visualization, and neural networks to relate information extracted with the phenotypes obtained. These techniques use feature extraction, identification, classification, and prediction criteria to identify pertinent data for use in plant breeding and pathology activities. This review focuses on the recent findings where machine learning and deep learning approaches have been used for plant stress phenotyping with data being collected using various HTP platforms. We have provided a comprehensive overview of different machine learning and deep learning tools available with their potential advantages and pitfalls. Overall, this review provides an avenue for studying various HTP platforms with particular emphasis on using the machine learning and deep learning tools for drawing legitimate conclusions. Finally, we propose the conceptual challenges being faced and provide insights on future perspectives for managing those issues.

PMID:36939773 | PMC:PMC9590503 | DOI:10.1007/s43657-022-00048-z

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Nevin Manimala Statistics

A Preliminary Study on the Evaluation of Human Sperm Head Morphology with a Domestic Digital Holographic Image System

Phenomics. 2022 Feb 26;2(2):130-135. doi: 10.1007/s43657-022-00046-1. eCollection 2022 Apr.

ABSTRACT

The head of sperm was imaged with domestic digital holographic microscopy (DHM), and then the quantitative three-dimensional size information of normal sperm and teratozoospermic sperm was compared and analyzed. DHM sperm imaging and repeated quantitative evaluation were used to determine the morphology of the sperm head in two patients with teratozoospermia and four volunteers with normal semen parameters. Sixty and 139 sperm of teratozoospermia patients and normal people were photographed by digital hologram, respectively. The differences in head height and width were compared and statistically analyzed. The sperm head height of the teratozoospermia group was 3.06 ± 1.66 μm, which was significantly lower than that of the normal sperm group (4.54 ± 1.60 μm, p < 0.01), but there was no significant difference in the head width between the two groups. Compared with the traditional two-dimensional optical microscope observation method, the DHM system can provide three-dimensional quantitative information for the sperm head and thus may help in the comprehensive clinical evaluation of the sperm head structure.

PMID:36939764 | PMC:PMC9590537 | DOI:10.1007/s43657-022-00046-1

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Nevin Manimala Statistics

The Rapid Growth of Mega-Journals: Threats and Opportunities

JAMA. 2023 Mar 20. doi: 10.1001/jama.2023.3212. Online ahead of print.

NO ABSTRACT

PMID:36939740 | DOI:10.1001/jama.2023.3212

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Nevin Manimala Statistics

Effectiveness of Structured Care Coordination for Children With Medical Complexity: The Complex Care for Kids Ontario (CCKO) Randomized Clinical Trial

JAMA Pediatr. 2023 Mar 20. doi: 10.1001/jamapediatrics.2023.0115. Online ahead of print.

ABSTRACT

IMPORTANCE: Children with medical complexity (CMC) have chronic conditions and high health needs and may experience fragmented care.

OBJECTIVE: To compare the effectiveness of a structured complex care program, Complex Care for Kids Ontario (CCKO), with usual care.

DESIGN, SETTING, AND PARTICIPANTS: This randomized clinical trial used a waitlist variation for randomizing patients from 12 complex care clinics in Ontario, Canada, over 2 years. The study was conducted from December 2016 to June 2021. Participants were identified based on complex care clinic referral and randomly allocated into an intervention group, seen at the next available clinic appointment, or a control group that was placed on a waitlist to receive the intervention after 12 months.

INTERVENTION: Assignment of a nurse practitioner-pediatrician dyad partnering with families in a structured complex care clinic to provide intensive care coordination and comprehensive plans of care.

MAIN OUTCOMES AND MEASURES: Co-primary outcomes, assessed at baseline and at 6, 12, and 24 months postrandomization, were service delivery indicators from the Family Experiences With Coordination of Care that scored (1) coordination of care among health care professionals, (2) coordination of care between health care professionals and families, and (3) utility of care planning tools. Secondary outcomes included child and parent health outcomes and child health care system utilization and cost.

RESULTS: Of 144 participants randomized, 141 had complete health administrative data, and 139 had complete baseline surveys. The median (IQR) age of the participants was 29 months (9-102); 83 (60%) were male. At 12 months, scores for utility of care planning tools improved in the intervention group compared with the waitlist group (adjusted odds ratio, 9.3; 95% CI, 3.9-21.9; P < .001), with no difference between groups for the other 2 co-primary outcomes. There were no group differences for secondary outcomes of child outcomes, parent outcomes, and health care system utilization and cost. At 24 months, when both groups were receiving the intervention, no primary outcome differences were observed. Total health care costs in the second year were lower for the intervention group (median, CAD$17 891; IQR, 6098-61 346; vs CAD$37 524; IQR, 9338-119 547 [US $13 415; IQR, 4572-45 998; vs US $28 136; IQR, 7002-89 637]; P = .01).

CONCLUSIONS AND RELEVANCE: The CCKO program improved the perceived utility of care planning tools but not other outcomes at 1 year. Extended evaluation periods may be helpful in assessing pediatric complex care interventions.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02928757.

PMID:36939728 | DOI:10.1001/jamapediatrics.2023.0115