scholarly journals A synthesis of health benefits of natural sounds and their distribution in national parks

2021 ◽  
Vol 118 (14) ◽  
pp. e2013097118
Author(s):  
Rachel T. Buxton ◽  
Amber L. Pearson ◽  
Claudia Allou ◽  
Kurt Fristrup ◽  
George Wittemyer
Keyword(s):  
Public Health ◽  
National Parks ◽  
National Park ◽  
Meta Analysis ◽  
Health Benefits ◽  
Natural Sounds ◽  
Lower Stress ◽  
Affective Outcomes ◽  
Natural Sound ◽  
Meta Analyses

Parks are important places to listen to natural sounds and avoid human-related noise, an increasingly rare combination. We first explore whether and to what degree natural sounds influence health outcomes using a systematic literature review and meta-analysis. We identified 36 publications examining the health benefits of natural sound. Meta-analyses of 18 of these publications revealed aggregate evidence for decreased stress and annoyance (g = −0.60, 95% CI = −0.97, −0.23) and improved health and positive affective outcomes (g = 1.63, 95% CI = 0.09, 3.16). Examples of beneficial outcomes include decreased pain, lower stress, improved mood, and enhanced cognitive performance. Given this evidence, and to facilitate incorporating public health in US national park soundscape management, we then examined the distribution of natural sounds in relation to anthropogenic sound at 221 sites across 68 parks. National park soundscapes with little anthropogenic sound and abundant natural sounds occurred at 11.3% of the sites. Parks with high visitation and urban park sites had more anthropogenic sound, yet natural sounds associated with health benefits also were frequent. These included animal sounds (audible for a mean of 59.3% of the time, SD: 23.8) and sounds from wind and water (mean: 19.2%, SD: 14.8). Urban and other parks that are extensively visited offer important opportunities to experience natural sounds and are significant targets for soundscape conservation to bolster health for visitors. Our results assert that natural sounds provide important ecosystem services, and parks can bolster public health by highlighting and conserving natural soundscapes.

scholarly journals Global, regional and national estimates ofToxoplasma gondiiseroprevalence in pregnant women: a protocol for a systematic review and modelling analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e030472 ◽  
Author(s):  
Jean Joel Bigna ◽  
Joel Noutakdie Tochie ◽  
Dahlia Noelle Tounouga ◽  
Anne Olive Bekolo ◽  
Nadia S Ymele ◽  
...  
Keyword(s):  
Public Health ◽  
Toxoplasma Gondii ◽  
Pregnant Women ◽  
Data Extraction ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Published Data ◽  
Representative Study ◽  
Nationally Representative ◽  
Meta Analyses

IntroductionTo set priorities for public health policy, funding for public health interventions, and healthcare planning which will ultimately contribute in bending the burden of toxoplasmosis towards maternal and neonatal health, it is necessary to have accurate data on the prevalence of toxoplasmosis in pregnancy. Therefore, we aimed to estimate the seroprevalence ofToxoplasma gondiiinfection in pregnant women by countries, WHO regions and globally.Methods and analysisWe will search multiple databases to identify studies that reported the prevalence (or enough data to compute this estimate) ofToxoplasma gondiiin the global population of pregnant women up till December 31, 2018 without any language restrictions. Study selection, data extraction and risk of bias assessment will be conducted independently by three pairs of investigators. For each country, we will estimate the prevalence based on empirical studies if there is either one nationally representative study, or two or more not nationally representative studies. Then, we will perform a country-specific random-effects meta-analyses. The heterogeneity will be evaluated using the χ² test on Cochrane’s Q statistic and quantified with H and I² statistics. For countries with one or no empirical studies or where the meta-analysis will result in a wide CI of 0%–100%, we will predict the country’s prevalence by using a Bayesian generalised non-linear multilevel model. The model will have a hierarchical structure in which estimates for each country will be informed by its own data, if available, or by data from other countries in the same WHO region.Ethics and disseminationSince this study will be based on published data, it does not require any ethical approval. Its findings will be published in a scientific peer-reviewed journal. They will also be presented at scientific conferences and to relevant public health sectors.PROSPERO registration numberCRD42019125572.

scholarly journals E-Cigarette Use and Adult Cigarette Smoking Cessation: A Meta-Analysis

2020 ◽  
pp. e1-e17
Author(s):  
Richard J. Wang ◽  
Sudhamayi Bhadriraju ◽  
Stanton A. Glantz
Keyword(s):  
Public Health ◽  
Smoking Cessation ◽  
Observational Studies ◽  
Randomized Clinical Trials ◽  
Meta Analysis ◽  
Adult Population ◽  
Consumer Products ◽  
Cigarette Use ◽  
Quit Smoking ◽  
Meta Analyses

Objectives. To determine the association between e-cigarette use and smoking cessation. Methods. We searched PubMed, Web of Science Core Collection, and EMBASE and computed the association of e-cigarette use with quitting cigarettes using random effects meta-analyses. Results. We identified 64 papers (55 observational studies and 9 randomized clinical trials [RCTs]). In observational studies of all adult smokers (odds ratio [OR] = 0.947; 95% confidence interval [CI] = 0.772, 1.160) and smokers motivated to quit smoking (OR = 0.851; 95% CI = 0.684, 1.057), e-cigarette consumer product use was not associated with quitting. Daily e-cigarette use was associated with more quitting (OR = 1.529; 95% CI = 1.158, 2.019) and less-than-daily use was associated with less quitting (OR = 0.514; 95% CI = 0.402, 0.665). The RCTs that compared quitting among smokers who were provided e-cigarettes to smokers with conventional therapy found e-cigarette use was associated with more quitting (relative risk = 1.555; 95% CI = 1.173, 2.061). Conclusions. As consumer products, in observational studies, e-cigarettes were not associated with increased smoking cessation in the adult population. In RCTs, provision of free e-cigarettes as a therapeutic intervention was associated with increased smoking cessation. Public Health Implications. E-cigarettes should not be approved as consumer products but may warrant consideration as a prescription therapy. (Am J Public Health. Published online ahead of print December 22, 2020: e1–e17. https://doi.org/10.2105/AJPH.2020.305999 )

scholarly journals Methods used to meta-analyse results from interrupted time series studies: A methodological systematic review protocol

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 110
Author(s):  
Elizabeth Korevaar ◽  
Amalia Karahalios ◽  
Andrew B. Forbes ◽  
Simon L. Turner ◽  
Steve McDonald ◽  
...  
Keyword(s):  
Public Health ◽  
Time Series ◽  
Systematic Reviews ◽  
Data Extraction ◽  
Meta Analysis ◽  
Interrupted Time Series ◽  
Analysis Methods ◽  
Study Selection ◽  
The Individual ◽  
Meta Analyses

Background: Systematic reviews are used to inform healthcare decision making. In reviews that aim to examine the effects of organisational, policy change or public health interventions, or exposures, evidence from interrupted time series (ITS) studies may be included. A core component of many systematic reviews is meta-analysis, which is the statistical synthesis of results across studies. There is currently a lack of guidance informing the choice of meta-analysis methods for combining results from ITS studies, and there have been no studies examining the meta-analysis methods used in practice. This study therefore aims to describe current meta-analysis methods used in a cohort of reviews of ITS studies. Methods: We will identify the 100 most recent reviews (published between 1 January 2000 and 11 October 2019) that include meta-analyses of ITS studies from a search of eight electronic databases covering several disciplines (public health, psychology, education, economics). Study selection will be undertaken independently by two authors. Data extraction will be undertaken by one author, and for a random sample of the reviews, two authors. From eligible reviews we will extract details at the review level including discipline, type of interruption and any tools used to assess the risk of bias / methodological quality of included ITS studies; at the meta-analytic level we will extract type of outcome, effect measure(s), meta-analytic methods, and any methods used to re-analyse the individual ITS studies. Descriptive statistics will be used to summarise the data. Conclusions: This review will describe the methods used to meta-analyse results from ITS studies. Results from this review will inform future methods research examining how different meta-analysis methods perform, and ultimately, the development of guidance.

scholarly journals Microbial pathogen contamination of waterholes in old Oyo national park: possible wildlife and animal health implications

2021 ◽  
Vol 2 (2) ◽  
pp. 49-56
Author(s):  
Adetola Taiwo Adetuga ◽  
Abosede Olayemi Omonona ◽  
Afusat Jagun Jubril
Keyword(s):  
Public Health ◽  
Water Quality ◽  
National Parks ◽  
National Park ◽  
Animal Health ◽  
Plate Count ◽  
Most Probable Number ◽  
Ecological Health ◽  
Probable Number ◽  
Microbiological Examination

Surface water quality is an important module of the aquatic ecosystem which is crucial to wildlife and environmental health. The term water quality is sometimes extended to include biodiversity of waters and biological indicators or ecological health. Microbiological examination of water is an essential tool to investigate the presence of microorganisms that might constitute a hazard to both animal and public health. Microbiological examination of waterholes in national parks is thus crucial in assessing ecosystem health. The study therefore aimed at assessing the bacteriological and mycological characteristics of perennial waterholes in Old Oyo National Park (OONP), Nigeria. Coliform test was performed using the most probable number (MPN) technique and heterotrophic plate count (aerobic) by Pour Plate method while fungi count was done using the direct plate and dilution plate methods. Microbial populations were expressed as colony forming units per milliliter (cfu/ml). Different species of microflora were observed in the sampled waterholes includes Bacillus sp, Aspergillus spp, Actinobacter sp, Pseudomonas sp, Penicillium sp, Enterobacter sp, Klebsiella sp, Salmonella sp, Flavobacter sp, Seratia sp and Shigella sp. The presence of Escherichia coli observed in the study is an indication of recent faecal contamination. The mean values of microbial counts of the water samples were higher during the dry season with increased water concentration and more drinking from animals a probable cause. The presence of the various microflora observed in the study could pose a serious threat to both wildlife and public health. The study gave an insight to the health of the animals over seasons in the park and how it can affect health and population and a source of contaminants to all animals. There is need for continuous assessment of water quality in waterholes in OONP as a means of ensuring good ecological health.

scholarly journals Burnout Syndrome and Meta-Analyses: Need for Evidence-Based Research in Occupational Health. Comments on Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis. Int. J. Environ. Res. Public. Health. 2019, 16, doi:10.3390/ijerph16091479

2020 ◽  
Vol 17 (3) ◽  
pp. 741 ◽  
Author(s):  
Francesco Chirico ◽  
Nicola Magnavita
Keyword(s):  
Public Health ◽  
Sample Size ◽  
Meta Analysis ◽  
Policy Decision ◽  
Burnout Syndrome ◽  
Evidence Based ◽  
Surgical Residents ◽  
High Prevalence ◽  
Meta Analyses ◽  
Almost All

In their meta-analysis of observational studies, Low et al. showed a high prevalence of burnout syndrome (BOS) among medical and surgical residents across the globe with an aggregate prevalence of burnout as 51.0% (CI: 45.0–57%). However, the sample size in many of the included studies was quite low (only 26 out of 47 included studies had a sample size of more than 100 participants), and almost all of the 47 studies reported a rate of respondents of less than 80% (43 out of 47, 91.4%). Furthermore, in many of them, the rate of respondents was unknown (5 out of 47) or less than 50% of eligible persons (23 out of 47 studies). As BOS is a self-reported syndrome, healthcare professionals who decided to participate in those studies were many of those affected by BOS, making the percentage of respondents potentially overstated due to the nonresponse bias. Policy decision-making in public health relies on evidence-based research; therefore, quality evaluation of studies in meta-analysis is essential to draw useful data for policymakers.

scholarly journals Methods used to meta-analyse results from interrupted time series studies: A methodological systematic review protocol

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 110
Author(s):  
Elizabeth Korevaar ◽  
Amalia Karahalios ◽  
Andrew B. Forbes ◽  
Simon L. Turner ◽  
Steve McDonald ◽  
...  
Keyword(s):  
Public Health ◽  
Time Series ◽  
Systematic Reviews ◽  
Data Extraction ◽  
Meta Analysis ◽  
Interrupted Time Series ◽  
Analysis Methods ◽  
Study Selection ◽  
The Individual ◽  
Meta Analyses

Background: Systematic reviews are used to inform healthcare decision making. In reviews that aim to examine the effects of organisational, policy change or public health interventions, or exposures, evidence from interrupted time series (ITS) studies may be included. A core component of many systematic reviews is meta-analysis, which is the statistical synthesis of results across studies. There is currently a lack of guidance informing the choice of meta-analysis methods for combining results from ITS studies, and there have been no studies examining the meta-analysis methods used in practice. This study therefore aims to describe current meta-analysis methods used in a cohort of reviews of ITS studies. Methods: We will identify the 100 most recent reviews (published between 1 January 2000 and 11 October 2019) that include meta-analyses of ITS studies from a search of eight electronic databases covering several disciplines (public health, psychology, education, economics). Study selection will be undertaken independently by two authors. Data extraction will be undertaken by one author, and for a random sample of the reviews, two authors. From eligible reviews we will extract details at the review level including discipline, type of interruption and any tools used to assess the risk of bias / methodological quality of included ITS studies; at the meta-analytic level we will extract type of outcome, effect measure(s), meta-analytic methods, and any methods used to re-analyse the individual ITS studies. Descriptive statistics will be used to summarise the data. Conclusions: This review will describe the methods used to meta-analyse results from ITS studies. Results from this review will inform future methods research examining how different meta-analysis methods perform, and ultimately, the development of guidance.

scholarly journals Methods used to meta-analyse results from interrupted time series studies: A methodological systematic review protocol

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 110
Author(s):  
Elizabeth Korevaar ◽  
Amalia Karahalios ◽  
Andrew B. Forbes ◽  
Simon L. Turner ◽  
Steve McDonald ◽  
...  
Keyword(s):  
Public Health ◽  
Time Series ◽  
Systematic Reviews ◽  
Data Extraction ◽  
Meta Analysis ◽  
Interrupted Time Series ◽  
Analysis Methods ◽  
Study Selection ◽  
The Individual ◽  
Meta Analyses

Background: Systematic reviews are used to inform healthcare decision making. In reviews that aim to examine the effects of organisational, policy change or public health interventions, or exposures, evidence from interrupted time series (ITS) studies may be included. A core component of many systematic reviews is meta-analysis, which is the statistical synthesis of results across studies. There is currently a lack of guidance informing the choice of meta-analysis methods for combining results from ITS studies, and there have been no studies examining the meta-analysis methods used in practice. This study therefore aims to describe current meta-analysis methods used in a cohort of reviews of ITS studies. Methods: We will identify 100 reviews that include meta-analyses of ITS studies from a search of eight electronic databases covering several disciplines (public health, psychology, education, economics). Study selection will be undertaken independently by two authors. Data extraction will be undertaken by one author, and for a random sample of the reviews, two authors. From eligible reviews we will extract details at the review level including discipline and type of interruption; at the meta-analytic level we will extract type of outcome, effect measure(s), meta-analytic methods, and any methods used to re-analyse the individual ITS studies. Descriptive statistics will be used to summarise the data. Conclusions: This review will describe the methods used to meta-analyse results from ITS studies. Results from this review will inform future methods research examining how different meta-analysis methods perform, and ultimately, the development of guidance.

scholarly journals The Effects of Imagery Interventions in Sports: A Meta-Analysis

2020 ◽  
Author(s):  
Bianca A. Simonsmeier ◽  
Melina Andronie ◽  
Susanne Buecker ◽  
Cornelia Frank
Keyword(s):  
Meta Analysis ◽  
Mental Practice ◽  
Future Research ◽  
Psychological Skills ◽  
Physical Practice ◽  
Comprehensive Overview ◽  
Affective Outcomes ◽  
Positive Effects ◽  
Specific Outcome ◽  
Meta Analyses

Imagery interventions are an established psychological tool to enhance performance, psychological skills, and injury rehabilitation. Previous meta-analyses found positive effects of mental practice on performance, leaving it open whether imagery can also enhance other outcomes than performance such as motivational or affective outcomes. We performed a meta-analysis to extend the current understanding of the effectiveness of imagery in sports on any sport specific outcome and the relevance of third variables potentially moderating the effect. The overall effect of imagery interventions was medium in magnitude with d = 0.431 (95% CI [0.298, 0.563]). Imagery interventions significantly enhanced motor performance, motivational outcomes, and affective outcomes. Imagery combined with physical practice was more effective than physical practice alone, indicating differential effects of imagery and physical practice. The effectiveness of imagery was positively associated with the intensity of the imagery training. We discuss our results against previous and most recent meta-analyses on mental practice and the background of theoretical and practical aspects of imagery. Moreover, we lay out directions for future research by providing a comprehensive overview of research gaps in the literature on imagery.

A Meta-Analysis of Interviews and Cognitive Ability

2013 ◽  
Vol 12 (4) ◽  
pp. 157-169 ◽  
Author(s):  
Philip L. Roth ◽  
Allen I. Huffcutt
Keyword(s):  
Cognitive Ability ◽  
Meta Analysis ◽  
Incremental Validity ◽  
Employment Interviews ◽  
Moderator Analysis ◽  
The Future ◽  
Research Questions ◽  
Meta Analyses ◽  
The Relationship

The topic of what interviews measure has received a great deal of attention over the years. One line of research has investigated the relationship between interviews and the construct of cognitive ability. A previous meta-analysis reported an overall corrected correlation of .40 ( Huffcutt, Roth, & McDaniel, 1996 ). A more recent meta-analysis reported a noticeably lower corrected correlation of .27 ( Berry, Sackett, & Landers, 2007 ). After reviewing both meta-analyses, it appears that the two studies posed different research questions. Further, there were a number of coding judgments in Berry et al. that merit review, and there was no moderator analysis for educational versus employment interviews. As a result, we reanalyzed the work by Berry et al. and found a corrected correlation of .42 for employment interviews (.15 higher than Berry et al., a 56% increase). Further, educational interviews were associated with a corrected correlation of .21, supporting their influence as a moderator. We suggest a better estimate of the correlation between employment interviews and cognitive ability is .42, and this takes us “back to the future” in that the better overall estimate of the employment interviews – cognitive ability relationship is roughly .40. This difference has implications for what is being measured by interviews and their incremental validity.

Power-Enhanced Funnel Plots for Meta-Analysis

2020 ◽  
Vol 228 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Michael Kossmeier ◽  
Ulrich S. Tran ◽  
Martin Voracek
Keyword(s):  
Statistical Power ◽  
Meta Analysis ◽  
Relevant Information ◽  
Selective Reporting ◽  
Graphical Display ◽  
Funnel Plot ◽  
Evidential Value ◽  
Graphical Displays ◽  
Funnel Plots ◽  
Meta Analyses

Abstract. Currently, dedicated graphical displays to depict study-level statistical power in the context of meta-analysis are unavailable. Here, we introduce the sunset (power-enhanced) funnel plot to visualize this relevant information for assessing the credibility, or evidential value, of a set of studies. The sunset funnel plot highlights the statistical power of primary studies to detect an underlying true effect of interest in the well-known funnel display with color-coded power regions and a second power axis. This graphical display allows meta-analysts to incorporate power considerations into classic funnel plot assessments of small-study effects. Nominally significant, but low-powered, studies might be seen as less credible and as more likely being affected by selective reporting. We exemplify the application of the sunset funnel plot with two published meta-analyses from medicine and psychology. Software to create this variation of the funnel plot is provided via a tailored R function. In conclusion, the sunset (power-enhanced) funnel plot is a novel and useful graphical display to critically examine and to present study-level power in the context of meta-analysis.

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