Tag: statistics

Public Health Genomics. 2022 Mar 29:1-9. doi: 10.1159/000521971. Online ahead of print.

ABSTRACT

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common heterogeneous disorder characterized by chronic anovulation, infertility, polycystic ovaries, and hyperandrogenic signs.

OBJECTIVE: The aim of this study was to determine the association of luteinizing hormone/chorionic gonadotropin hormone receptor LHCGR polymorphism (rs2293275) with oligomenorrhea, amenorrhea, hirsutism, acne, infertility, LH, LH/FSH ratio, and body mass index (BMI) among PCOS females.

METHODS: This genetic case-control study recruited 55 PCOS and 55 control females, diagnosed based on the Rotterdam criteria. LH and FSH were measured by the Roche cobas c 502 automated analyzer. Genotypic analysis was carried out using the polymerase chain reaction-restriction fragment length polymorphism and restriction endonuclease digestion.

RESULTS: BMI was higher for PCOS patients (28.5 ± 6.59) compared to controls (25.1 ± 5.77), and ovulatory dysfunction was seen among 90% of PCOS females. Oligomenorrhea was common in PCOS (73%), and hirsutism and acne were detected in PCOS (80% and 40%; respectively). LH ≥10 were recoded among 51%, while LH/FSH ≥1.5 was recorded among 33% PCOS females. There is a statistical difference between rs2293275 polymorphism in the AG genotype between PCOS patients and controls. PCOS patients have a significantly higher mean LH level compared to controls (8.36 ± 4.86 and 5.67 ± 2.51, respectively) and showed higher LH/FSH value (1.46 ± 0.81) compared to (0.87 ± 0.30) controls. GG and AG genotypes of LHCGR showed statistically significant higher LH (8.22 ± 4.11; 9.02 ± 3.87) and LH/FSH values (1.57 ± 0.56; 1.64 ± 0.89) compared to controls.

CONCLUSION: LHCGR (rs2293275) GA and GG genetic variants could modulate the hormonal levels of PCOS LH levels and the LH/FSH ratio and associated with hirsutism, oligomenorrhea, BMI, and LH/FSH ratio as risk factors.

PMID:35350019 | DOI:10.1159/000521971

Cir Cir. 2022;90(2):242-247. doi: 10.24875/CIRU.20001237.

ABSTRACT

OBJECTIVE: Bull-horn injuries (BHI) are unique and there is reduced published literature about it. We present an analysis of a 11-year BHI case series.

METHOD: Study of 138 cases developed during a 11-year period with hospitalization admission greater than 24 hours with diagnosis of BHI/contusion. We classified patients in two groups: group A, patients undergoing procedures under general anaesthesia and group B undergoing procedures under local anaesthesia. Variables: age, sex, date, hospitalization length, main region affected, Comprehensive complication index (CCI, ISS, intensive care unit (ICU) admission, stay and mortality. Statistical analysis: t-Student test, ANOVA, χ² and linear or logistic regression.

RESULTS AND CONCLUSIONS: ISS was related to hospital stay, CCI, ICU admission and type of treatment applied. The comparative statistical analysis of variables between both groups determined a significant difference in age, ISS and hospitalization length, being greater in those belonging to group A. There is a more risk of undergoing surgery by increasing age, ISS and presenting the wounds in thorax-abdomen-pelvis area. CCI may be a good method of quantifying postoperatory morbidity in polytraumatized patients or in other areas besides the abdomen.

PMID:35350059 | DOI:10.24875/CIRU.20001237

J Phys Act Health. 2022 Mar 29:1-11. doi: 10.1123/jpah.2021-0305. Online ahead of print.

ABSTRACT

BACKGROUND: The long-term parallel changes of physical activity and body mass index (BMI) in the adult population are still unclear. The present study assessed the association between physical activity and BMI over time, considering obesity risk trajectory groups and sex strata.

METHODS: Total sample of 6897 adults was followed for an average of 12 years. The reliable and validated Iranian version of the Modifiable Activity Questionnaire measured physical activity. After determining the risk clusters in each reexamination using a 2-step cluster analysis, the latent growth curve modeling was used to identify distinct subgroups of individuals following a similar change of risk cluster over time. Latent growth curve modeling estimated the parameters of cross-sectional, prospective, and parallel associations.

RESULTS: Three trajectories were identified, including stable low risk, unstable risk, and stable high risk. The results showed significant increases in BMI (kg/m2/year) for the stable low-risk trajectory group 0.478 (95% confidence interval [CI] 0.444 to 0.513), unstable risk 0.360 (95% CI, 0.324 to 0.396), and those in the stable high-risk trajectory group 0.255 (95% CI, 0.221 to 0.289). In cross-sectional -0.483 kg/m2 (95% CI, -0.836 to -0.129) and parallel -0.93 kg/m2 (95% CI, -1.862 to 0.00) estimations, significant statistical associations were observed in the stable high-risk trajectory group.

CONCLUSIONS: The current results showed that changes in physical activity could slightly affect BMI only in stable high-risk adults.

PMID:35349978 | DOI:10.1123/jpah.2021-0305

Ultramicroscopy. 2022 Mar 10;236:113493. doi: 10.1016/j.ultramic.2022.113493. Online ahead of print.

ABSTRACT

When the Al-Mg-Si(-Cu) alloy system is subjected to age hardening, different types of precipitates nucleate depending on the composition and thermomechanical treatment. The main hardening precipitates extend as needles, laths or rods along the <100> directions in the aluminium matrix. It has been found that the structures of all metastable precipitates may be generalized as stacks of <100> columns, where most of these columns are replaced by solute elements. In the precipitates, a column relates to neighbour columns by a set of simple structural principles, which allows identification of species and relative longitudinal displacement over the (100) cross-section. Aberration-corrected high-angle annular dark field scanning transmission electron microscopy (HAADF-STEM) is an important tool for studying such precipitates. With the goal of analysing atomic resolution HAADF-STEM images of precipitate cross-sections in the Al-Mg-Si(-Cu) system, we have developed the stand-alone software AutomAl 6000, which features a column characterization algorithm based on the symbiosis of a statistical model and the structural principles formulated in a digraph-like framework. The software can semi-autonomously determine the 3D column positions in the image, as well as column species. In turn, AutomAl 6000 can then display, analyse and/or export the structure data. This paper describes the methodology of AutomAl 6000 and applies it on three different HAADF-STEM images, which demonstrate the methodology. The software, as well as other resources, are available at http://automal.org. The source code is also directly available from https://github.com/Haawk666/AutomAl-6000.

PMID:35349939 | DOI:10.1016/j.ultramic.2022.113493

Drug Alcohol Depend. 2022 Mar 5;234:109396. doi: 10.1016/j.drugalcdep.2022.109396. Online ahead of print.

ABSTRACT

BACKGROUND: A large HIV outbreak in People Who Inject Drugs (PWID) occurred in Athens, Greece in 2011-2013. In response, opioid substitution treatment (OST) and needle and syringe programs (NSP) were scaled-up and a seek-test-treat program was introduced in mid-2012. We aim to assess the impact of these interventions.

METHODS: A mathematical model of HIV transmission among PWID was calibrated to data available over time (2009-2013) on HIV prevalence, NSP/antiretroviral treatment (ART) coverage and high-risk injection. A combined interventions scenario, including decrease in high-risk injection through linkage to OST and modification of risk behaviours and access to NSP and ART, was compared to a counterfactual scenario (no improvement at the levels of these interventions), with HIV incidence being the main outcome.

RESULTS: HIV incidence increased from <0.1 new cases/100 person-years (in 2099) to 11.0 new cases/100 person-years (in 2012). Under both models, a subsequent decline was projected following early 2012, with incidence at the end of 2013 in the combined interventions scenario being lower by 77% compared to the counterfactual. The projected reduction in incidence under the intervention scenario was in agreement with empirical data. HIV prevalence would have escalated to 20.4% (95% CrI: 16.9%, 23.6%) in 2013 under the counterfactual scenario (vs. 16.8% (95% CrI: 11.2%, 23.0%) under the combined interventions scenario). In total, 31.4% of HIV cases (392) were averted over 2012-2013.

CONCLUSION: These results underline the importance of high-coverage harm reduction programs and of community-based interventions to rapidly reach PWID most in need.

PMID:35349919 | DOI:10.1016/j.drugalcdep.2022.109396

Acta Psychol (Amst). 2022 Mar 26;226:103577. doi: 10.1016/j.actpsy.2022.103577. Online ahead of print.

ABSTRACT

INTRODUCTION: China emerged from the first wave of COVID-19 in a short period of time and returned to normal economic and living order nationwide, making China’s entry into the post-COVID-19 epidemic period since April 2020. However, the COVID-19 epidemic had a great impact on young adults’ psychological status and may continue into the post-epidemic period. The enormous economic, employment and entrepreneurship pressures of this period may exacerbate this negative impact. This study investigated the depression status of the young adults and put forward the suggestions on how to strengthen the psychological crisis intervention and social security to cultivate the resilience of the young adults after major public health emergencies.

METHODS: This study conducted a questionnaire survey to identify the prevalence of depressive symptoms and explore the associated factors of depressive symptoms among 1069 young adults in X City, Hubei province in September 2020. And the multistage stratified random sampling method was used for sampling. Depressive symptoms were measured using the 10-item version of the Center for Epidemiological Studies Depression Scale (CES-D-10). Descriptive statistics and logistic regression analysis were adopted for statistical analysis.

RESULTS: 1069 respondents (67.68% male; mean age = 28.87 ± 4.18 years; age range = 18-35 years) were included in final analyses. About 25.9% of the respondents reported depressive symptoms (CES-D-10 score = 7.28 ± 3.85). Age, marital status, employment status, monthly disposable income, the cognition, experience and social relationship of the COVID-19 epidemic, and regional discrimination were significantly associated with depressive symptoms. Being male (P = 0.025), age of 25-29 years (P = 0.011), having a household size with 4-5 (P = 0.01) and more than 8 (P = 0.012) family members, a little pessimism about the prospect of COVID-19 epidemic prevention and control (P = 0.044), often (P = 0.018) or always (P = 0.009) participation in anti-epidemic volunteer work were likely to lead to depressive symptoms.

CONCLUSIONS: In the post-COVID-19 epidemic period, the psychological status of young people is generally stable, but some of them are depressed. Life, work and mental stress affect the generation of depressive symptoms among the young adults.

PMID:35349926 | DOI:10.1016/j.actpsy.2022.103577

Environ Int. 2022 Mar 26;163:107176. doi: 10.1016/j.envint.2022.107176. Online ahead of print.

ABSTRACT

BACKGROUND: Prenatal exposure to drinking water with arsenic concentrations >50 μg/L is associated with adverse birth outcomes, with inconclusive evidence for concentrations ≤50 μg/L. In a collaborative effort by public health experts, hydrologists, and geologists, we used published machine learning model estimates to characterize arsenic concentrations in private wells-federally unregulated for drinking water contaminants-and evaluated associations with birth outcomes throughout the conterminous U.S.

METHODS: Using several machine learning models, including boosted regression trees (BRT) and random forest classification (RFC), developed from measured groundwater arsenic concentrations of ∼20,000 private wells, we characterized the probability that arsenic concentrations occurred within specific ranges in groundwater. Probabilistic model estimates and private well usage data were linked by county to all live birth certificates from 2016 (n = 3.6 million). We evaluated associations with gestational age and term birth weight using mixed-effects models, adjusted for potential confounders and incorporated random intercepts for spatial clustering.

RESULTS: We generally observed inverse associations with term birth weight. For instance, when using BRT estimates, a 10-percentage point increase in the probability that private well arsenic concentrations exceeded 5 μg/L was associated with a -1.83 g (95% CI: -3.30, -0.38) lower term birth weight after adjusting for covariates. Similarly, a 10-percentage point increase in the probability that private well arsenic concentrations exceeded 10 μg/L was associated with a -2.79 g (95% CI: -4.99, -0.58) lower term birth weight. Associations with gestational age were null.

CONCLUSION: In this largest epidemiologic study of arsenic and birth outcomes to date, we did not observe associations of modeled arsenic estimates in private wells with gestational age and found modest inverse associations with term birth weight. Study limitations may have obscured true associations, including measurement error stemming from a lack of individual-level information on primary water sources, water arsenic concentrations, and water consumption patterns.

PMID:35349912 | DOI:10.1016/j.envint.2022.107176

Epilepsy Res. 2022 Mar 15;182:106908. doi: 10.1016/j.eplepsyres.2022.106908. Online ahead of print.

ABSTRACT

OBJECTIVES: To investigate structural connectivity after total callosotomy.

METHODS: Deterministic fiber tracking (tractography) of whole brain white matter was performed on 13 epilepsy patients pre- and post-callosotomy. The analysis of structural connectivity was based on graph theory and network-based analysis with a focus on the inter- and intrahemispheric networks. Clinical demographic data including seizure patterns and outcomes were scored for the identification of correlations.

RESULTS: After total callosotomy, structural interhemispheric networks were significantly interrupted. Specific changes were observed in the structural intrahemispheric networks in both hemispheres: 3 edges presented with significant decreases in the left hemisphere, whereas 2 edges presented with significant decreases in the right hemisphere. No global changes were observed in the network density, average weighted strength, average characteristic path length, or global efficiency of intrahemispheric networks. The intrahemispheric hubs and nodal efficiency were minimal changed after callosotomy.

CONCLUSION: While there was a significant decrease in structural interhemispheric connectivity post-callosotomy, we observed synchronously decremented changes of intrahemispheric edges in each hemisphere. This study suggests that white matter maintains the structural connectivity intrahemispherically although functional connectivity recovered after total callosotomy.

PMID:35349891 | DOI:10.1016/j.eplepsyres.2022.106908

Arch Gerontol Geriatr. 2022 Mar 20;101:104688. doi: 10.1016/j.archger.2022.104688. Online ahead of print.

ABSTRACT

BACKGROUND: Multimorbidity has negative impacts on the health outcomes of older adults. Previous research has discovered different patterns of multimorbidity. However, evidence is scarce for associations between multimorbidity patterns and disability/frailty, especially evidence from longitudinal studies. This study aimed to explore the relationship between multimorbidity patterns and disability/frailty among older adults in Taiwan.

METHODS: This population-based cohort study used data from the Taiwan Longitudinal Study on Aging. It included 2,194 older adults (age >50 years) who were followed from 1996 to 2011. The participants’ multimorbidity patterns in 1996 were determined by latent class analysis; their incident disability and frailty were ascertained in 2011. Multivariate logistic regression was used to analyze the relationship between multimorbidity patterns and disability/frailty.

RESULTS: In 1996, the participants’ average age was 62 years. Four multimorbidity patterns were discovered through latent class analysis, as follows: (1) Cardiometabolic group (n = 222), (2) Arthritis-cataract group (n = 112), (3) Multimorbidity group (n = 189), and (4) Relatively healthy group (n = 1671). After adjusting for age, sex, social participation, alcohol consumption, self-rated health, admission in the past year, and depression, participants in the Cardiometabolic group had a greater risk of incident disability (odds ratio: 1.78; 95% confidence interval: 1.26-2.52), compared with the Relatively healthy group. No statistically significant relationships were found between multimorbidity patterns and frailty. Subgroup analysis showed that females in the Cardiometabolic and Multimorbidity groups had greater risks of developing disability.

CONCLUSION: This 16-year, population-based cohort study showed that distinct multimorbidity patterns among older adults in Taiwan were associated with incident disability during later life but were not related to frailty.

PMID:35349876 | DOI:10.1016/j.archger.2022.104688

Mar Pollut Bull. 2022 Mar 26;178:113592. doi: 10.1016/j.marpolbul.2022.113592. Online ahead of print.

ABSTRACT

Microplastics (MPs) are widespread in the water column of several aquatic ecosystems. Thus, the sampling methodology is considered as a basic factor influencing MPs abundance. In this baseline, a total of 67 investigations were chosen to conduct a quantitative analysis between two sampling methods: Trawl and bulk. The aim is to report a general overview of the MPs abundance and characteristic differences based on the sampling procedures and provide methodological recommendations. MPs abundance reported by bulk studies is 3500 higher than trawl studies. Furthermore, the morphological types and polymers abundances were statistically affected by the type of sampling tool. Conversely, MPs size ranges were significantly different between sampling procedures, suggesting that trawling underestimates the smaller MPs fractions. The analysis confirms that the sampling methods should be selected based on the research objectives. In this sense, it is recommended to combine both types of sampling procedures to obtain comprehensive data.

PMID:35349867 | DOI:10.1016/j.marpolbul.2022.113592