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Nevin Manimala Statistics

Examining the Role of Autonomy Support, Goal Setting, and Care Coordination Quality on HIV PrEP Adherence in Black Men Who Have Sex with Men: HPTN 073

AIDS Patient Care STDS. 2023 Jan;37(1):22-30. doi: 10.1089/apc.2022.0139.

ABSTRACT

Autonomy support is a concept that is derived from self-determination theory. Autonomy refers to the freedom to act as one chooses. The current study aimed to examine if autonomy support was associated with dried blood spot validated pre-exposure prophylaxis (PrEP) adherence, and whether the association was mediated by PrEP adherence goal setting and progress toward PrEP adherence goals. Our sample was drawn from Black men who have sex with men (MSM) from across three cities (Chapel Hill, NC; Los Angeles, CA; and Washington, DC) in the United States between February 2013 and September 2014. We used logistic regression to evaluate associations between study variables and path analysis to test mediation effects. Participants were, on average, 28 [standard deviation (SD) = 1.12] years old and 25% were unemployed. We found that MSM who experienced high autonomy support were more likely to adhere to PrEP [odds ratio (OR) = 1.17; 95% confidence interval: 1.00-1.38]. MSM who set PrEP adherence goals were more likely to adhere to PrEP. Moreover, MSM who reported making progress toward their goals were also more likely to adhere to PrEP. Finally, client perception of coordination quality enhanced the magnitude of the association between goal setting and goal progress and the effect size of goal progress on PrEP adherence. Autonomy support, goal setting, goal monitoring/evaluation, and care coordination quality influenced PrEP adherence among Black MSM. Our findings indicate that while it is important to set goals for PrEP adherence, goal setting may need to be accompanied by progress monitoring to achieve the maximal effect.

PMID:36626154 | DOI:10.1089/apc.2022.0139

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Nevin Manimala Statistics

Influence of sperm post-thaw subpopulations of angus and nelore bulls on pregnancy rates by fixed-time artificial insemination

Cryo Letters. 2022 May-Jun;43(3):140-149.

ABSTRACT

BACKGROUND: The heterogeneity of ejaculate indicates that fertility is still variable among bulls and that more stringent evaluation methods are needed to identify the ejaculates suitable for AI.

OBJECTIVE: To identify and characterize the sperm subpopulations (SP) in thawed semen doses of Nelore and Angus bulls and to evaluate the influence of these sperm subpopulations on pregnancy rate in cows submitted to fixed-time AI (FTAI).

MATERIALS AND METHODS: A dose of post-thawed semen from each bull (n=18; consisting of Angus n = 9 and Nelore n = 9) was analyzed for: sperm kinetics; morphology and plasma membrane integrity; and the determination of the sperm subpopulations. Differences between the groups were estimated with the t-test considering a significance level of <5%.

RESULTS: There was no influence between breeding bulls for sperm morphology, plasma membrane integrity, and pregnancy rate (P > 0.05). Regarding the kinetic parameters evaluated by the CASA system, Nelore had greater values, for cells with slow velocity (Angus: 16.4 %; Nelore: 21.7%; P = 0.028). In contrast, ANGUS bulls had more static cells (Angus: 27.2%; Nelore: 9.3%; P = 0.048). Based on CASA system data and clustering procedures, four sperm subpopulations were statistically established. In Angus bulls, a higher level of fast and nonlinear spermatozoa were found in SP3 (33.3%), followed by SP1 (32.7%%) with fast and progressive spermatozoa. Whereas, SP1 of Nelore bulls had 33.8% fast and progressive spermatozoa, followed by 32.2% of SP3 with fast and nonlinear spermatozoa.

CONCLUSION: Both breeds of bulls presented similar proportions of sperm SP. Consequently, no influence on the pregnancy rates was shown in cows submitted to the IATF programs on a large scale. doi.org/10.54680/fr22310110312.

PMID:36626138

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Nevin Manimala Statistics

Understanding stochastic and deterministic assembly processes in microbial communities along temporal, spatial and environmental scales

Mol Ecol. 2023 Jan 10. doi: 10.1111/mec.16842. Online ahead of print.

ABSTRACT

Identifying the main drivers of community assembly remains an open fundamental question in ecology. Dispersal processes introduce randomness in community composition while selection for particular environments creates predictable assemblages. However, the interaction of selection and dispersal processes is still poorly understood. Here, we address this question in bacterial and microeukaryotic communities inhabiting a highly dynamic system of ephemeral (hyper)-saline lakes. We showed that the combination of beta-diversity decomposition methods and a temporal approach based on colonization and extinction dynamics yield new insights into the relative effect of selection and dispersal along environmental gradients. Selective pressure and dispersal-related processes simultaneously shape each local community with variable strength and effect. The dominance of selection vs dispersal shifted from stochastic to deterministic assembly as salinity increased along the gradient. This transition had also an impact on lakes temporal dynamics as community turnover decreased at high salinities because both colonization and extinction rates slowed down. Only microeukaryotic richness decreased along the gradient due to lower effective colonization at higher salinities, suggesting that the net effect of selection and dispersal is determined by both environmental conditions and the idiosyncrasy of the different microbial ecologies. Our results emphasized the use of temporal approaches in combination with standard statistical methods for a better understanding of the dynamic processes underlying community assembly.

PMID:36626114 | DOI:10.1111/mec.16842

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Nevin Manimala Statistics

Genomic evidence for contrasting patterns of host-associated genetic differentiation across shared host-plant species in leaf- and bud-galling sawflies

Mol Ecol. 2023 Jan 10. doi: 10.1111/mec.16844. Online ahead of print.

ABSTRACT

Resource specialization and ecological speciation arising through host-associated genetic differentiation (HAD) are frequently invoked as an explanation for the high diversity of plant-feeding insects and other organisms with a parasitic lifestyle. While genetic studies have demonstrated numerous examples of HAD in insect herbivores, the rarity of comparative studies means that we still lack an understanding of how deterministic HAD is, and whether patterns of host shifts can be predicted over evolutionary time scales. We applied genome-wide SNP and mtDNA sequence data obtained through genome resequencing to define species limits and to compare host-plant use in population samples of leaf- and bud-galling sawflies (Hymenoptera: Tenthredinidae: Nematinae) collected from seven shared willow (Salicaceae: Salix) host species. To infer the repeatability of long-term cophylogenetic patterns, we also contrasted the phylogenies of the two galler groups with each other as well as with the phylogeny of their Salix hosts estimated based on RADseq data. We found clear evidence for host specialization and HAD in both of the focal galler groups, but also that leaf gallers are more specialized to single host species than are most bud gallers. In contrast to bud gallers, leaf gallers also exhibited statistically significant cophylogenetic signal with their Salix hosts. The observed discordant patterns of resource specialization and host shifts in two related galler groups that have radiated in parallel across a shared resource base indicate a lack of evolutionary repeatability in the focal system, and suggest that short- and long-term host use and ecological diversification in plant-feeding insects are dominated by stochasticity and/or lineage-specific effects.

PMID:36626108 | DOI:10.1111/mec.16844

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Nevin Manimala Statistics

Water quality assessment and pollution source apportionment using multivariate statistical techniques: a case study of the Laixi River Basin, China

Environ Monit Assess. 2023 Jan 10;195(2):287. doi: 10.1007/s10661-022-10855-6.

ABSTRACT

Identifying potential sources of pollution in tributaries and determining their contribution rates are critical to the treatment of water pollution in main streams. In this paper, we conducted a multivariate statistical analysis on the water quality data of 12 parameters for 3 years (2018-2020) at six sampling sites in the Laixi River to qualitatively identify potential pollution sources and quantitatively calculate the contribution rates to reveal the tributaries’ pollution status. Spatio-temporal cluster analysis (CA) divided 12 months into two parts, corresponding to the lightly polluted season (LPS) and highly polluted season (HPS), and six sampling sites were divided into two regions, corresponding to the lightly polluted region (LPR) and highly polluted region (HPR). Principal component analysis (PCA) was used to determine the potential sources of contamination, identifying four and three potential factors in the LPS and HPS, respectively. The absolute principal component score-multiple linear regression (APCS-MLR) receptor model quantitatively analyzed the contribution rates of identified pollution sources, and the importance of the different pollution sources in LPS can be ranked as domestic sewage and industrial wastewater and breeding pollution (33.80%) > soil weathering (29.02%) > agricultural activities (20.95%) > natural influence (13.03%). HPS can be classified as agricultural cultivation (41.23%), domestic sewage and industrial wastewater and animal waste (33.19%), and natural variations (21.43%). Four potential sources were identified in LPR ranked as rural domestic sewage (31.01%) > agricultural pollution (26.82%) > industrial effluents and free-range livestock and poultry pollution (25.13%) > natural influence (14.82%). Three identified latent pollution sources in HPR were municipal sewage and industrial effluents (37.96%) > agricultural nonpoint sources and livestock and poultry wastewater (33.55%) > natural sources (25.23%). Using multivariate statistical tools to identify and quantify potential pollution sources, managers may be able to enhance water quality in tributary watersheds and develop future management plans.

PMID:36626095 | DOI:10.1007/s10661-022-10855-6

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Nevin Manimala Statistics

Evaluation of subclinical changes in recently diagnosed pediatric hypertension patients without hypertensive retinopathy: an OCT study

Int Ophthalmol. 2023 Jan 10. doi: 10.1007/s10792-022-02622-w. Online ahead of print.

ABSTRACT

PURPOSE: To investigate subclinical choroidal and retinal changes in recently diagnosed pediatric hypertension (HT) patients.

METHODS: This prospective case-control study consisted of 62 treatment naive HT patients (34 essential HT and 28 renal-induced HT) and 62 control subjects aged 10-16 years. All demographic data and ocular parameters were noted. Macula and choroid measurements were acquired by spectral domain optical coherence tomography (SD-OCT). Choroidal measurements were obtained by taking the mean of the measurements taken from 3 nasal and 3 temporal locations at 500µ intervals (mean nasal, mean temporal) in addition to the subfoveal area.

RESULTS: All choroidal thickness (ChT) values in HT subjects were significantly lower than in the healthy group (p < 0.001 for all). Also, there was no statistically significant difference between central macular thickness (CMT) and mean macular thickness (MMT) between the two groups. Subfoveal ChT, mean ChT, and CMT values were statistically lower in patients with renal-induced HT compared to essential HT subjects (p < 0.001, p = 0.04, p = 0.014, respectively). No significant correlation was observed between choroidal thicknesses and blood pressure values in essential and renal HT groups except weak correlation between mean temporal ChT and systolic blood pressure (SBP) in renal HT group (r = – 0.464, p = 0.013).

CONCLUSION: This study demonstrated that choroidal thickness decreased even during the subclinical period in treatment naive pediatric HT subjects. In addition, it has been shown that the choroid is more affected in renal-induced HT compared to essential HT group.

PMID:36626040 | DOI:10.1007/s10792-022-02622-w

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Nevin Manimala Statistics

The Incidence of Myocarditis Following an Influenza Vaccination: A Population-Based Observational Study

Drugs Aging. 2023 Jan 10. doi: 10.1007/s40266-022-00997-0. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: Recently, studies have pointed to a link between coronavirus disease 2019 vaccinations and myocarditis. Myocarditis following an influenza vaccine has been sporadically reported. However, it is not known whether this adverse event occurs among elderly individuals who have received influenza vaccines. We used a population-based database and a self-controlled case-series design to estimate the incidence of myocarditis following an influenza vaccination.

METHODS: Data were extracted from Taiwan’s National Health Insurance Research Database. The study population consisted of elderly people aged ≥ 65 years who had de novo myocarditis, which required hospitalization, within 6 months after receiving an influenza vaccination between 2003 and 2017. The first 1-7, 1-14, and 1-42 days after vaccination were defined as risk intervals, and the other periods were defined as control intervals. Poisson regression was used to calculate the incidence rate ratio for myocarditis between the risk and control periods.

RESULTS: Within 180 days following a vaccination, 191 people were hospitalized for myocarditis among 19,678,904 people. In comparison with control intervals, the incidence rate ratios of an admission for myocarditis for days 1-7, 1-14, and 1-42 were 0.80 (95% confidence interval 0.36-1.81), 0.72 (95% confidence interval 0.39-1.32), and 0.73 (95% confidence interval 0.50-1.05), respectively. Subgroup analyses by sex, age, Charlson Comorbidity Index scores, and comorbidities did not yield significant differences in the incidence rate ratio.

CONCLUSIONS: Regardless of the post-vaccination time and underlying baseline characteristics, the incidence risk of myocarditis is not significantly increased in the elderly following an influenza vaccination.

PMID:36626028 | DOI:10.1007/s40266-022-00997-0

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Nevin Manimala Statistics

Understanding changes in mental health symptoms from young-old to old-old adults by sex using multiple-group latent transition analysis

Geroscience. 2023 Jan 10. doi: 10.1007/s11357-023-00729-1. Online ahead of print.

ABSTRACT

Older adults are classified into three homogeneous groups: young-old (age 65-74), old-old (age 75-84), and oldest-old (age 85 and over). Mental health symptoms are likely to change over time, especially when older adults transition from one age group to another. Yet, little is known on changes in mental health symptoms as they transition to another age group, and if these changes differ by sex. This is a secondary data analysis using the longitudinal data from the National Social Life, Health, and Aging Project. A total of 1183 young-old adults at wave 1 was included. Mental health symptoms were depression, anxiety, loneliness, perceived stress, and happiness. Multiple-group latent transition analysis was conducted to model the transition probabilities of latent classes and to compare these differences between sex. Descriptive and inferential statistics were conducted to obtain demographic characteristics and to test for differences. Three latent classes were identified based on severity: class 1-mild, class 2-moderate, and class 3-severe. Regardless of sex, young-old adults remained in the same class from waves 1 to 2. However, they moved to a less severe group when transitioning into the old-old from waves 2 to 3. Statistically significant differences were found in their demographic characteristics among the latent classes. Older adults, when transitioning from young-old to old-old, are likely to transition to latent classes with less severe mental health symptoms in both sex. Clinicians need to provide a comprehensive assessment to all older adults, regardless of the severity of their mental health symptoms, to promote well-being.

PMID:36626018 | DOI:10.1007/s11357-023-00729-1

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Nevin Manimala Statistics

The effect of spiritual well-being on illness perception of lung cancer patıents

Support Care Cancer. 2023 Jan 10;31(2):107. doi: 10.1007/s00520-022-07527-z.

ABSTRACT

The aim of this study is to examine the effect of spiritual well-being on the perception of people who have lung cancer. The study was conducted with 100 volunteered patients with living lung cancer who were monitored and treated at a university hospital in Turkey. Patient Identification Form, Spiritual Well-Being Scale and Illness Perception Scale were used for the data collection procedure. Using SPSS 21.0 program, independent sample t-test and one-way ANOVA test were performed in statistical analyses. The probability value was considered significant as p < 0.05. The mean score of Spiritual Well Being (SWB) was found 28.48 ± 7.20. The findings were as follows: (1) the patients who stated that they comply with the drug treatment had a high score, and SWB scores were found to be lower in those who thought that the disease could not be cured. (2) there was a significant positive relationship among SWB and sub-dimensions of the illness perceptions; acute-chronic duration (p = .668), personal control (p = .811), treatment control (p = .682), emotional representation (p = 0.184) 3), as the SWB mean score increases, the scores in the illness perception section increase 4; however, when the SWB score increases, the cyclic time decreases. It was concluded that the spiritual well-being of people who have lung cancer positively affects the perception of the disease. It was further suggested that spiritual well-being should be evaluated and improved within holistic care in order to ensure patients perception of disease and compliance with treatment.

PMID:36625978 | DOI:10.1007/s00520-022-07527-z

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Nevin Manimala Statistics

An age-dependent immuno-epidemiological model with distributed recovery and death rates

J Math Biol. 2023 Jan 10;86(2):21. doi: 10.1007/s00285-022-01855-8.

ABSTRACT

The work is devoted to a new immuno-epidemiological model with distributed recovery and death rates considered as functions of time after the infection onset. Disease transmission rate depends on the intra-subject viral load determined from the immunological submodel. The age-dependent model includes the viral load, recovery and death rates as functions of age considered as a continuous variable. Equations for susceptible, infected, recovered and dead compartments are expressed in terms of the number of newly infected cases. The analysis of the model includes the proof of the existence and uniqueness of solution. Furthermore, it is shown how the model can be reduced to age-dependent SIR or delay model under certain assumptions on recovery and death distributions. Basic reproduction number and final size of epidemic are determined for the reduced models. The model is validated with a COVID-19 case data. Modelling results show that proportion of young age groups can influence the epidemic progression since disease transmission rate for them is higher than for other age groups.

PMID:36625974 | DOI:10.1007/s00285-022-01855-8