Background: Women with a history of hypertensive disorders of pregnancy are at an increased risk of cardiovascular disease. Although clinical practice guidelines for management of hypertensive disorders of pregnancy recommend involvement of a general practitioner for ongoing cardiovascular disease preventative care, there are no intervention strategies embedded within primary care aimed at improving risk assessment or management for women after hypertensive disorders of pregnancy. The study aim was to co-design an intervention to improve implementation of cardiovascular disease risk assessment and management following hypertensive disorders of pregnancy for primary care settings in a local health district in New South Wales, Australia. Method: Using the Integrated Knowledge Translation framework, a series of five co-design meetings with the investigative team and end users were conducted online. Meetings were informed by the Behaviour Change Wheel framework for intervention development and incorporated research findings from a systematic review and meta-analysis, surveys and an online discussion. Data from activities and audio recordings following each meeting were analysed thematically using inductive-deductive thematic analysis. Results were summarized after each meeting, and findings used to inform ongoing intervention development. Results: The 18 end users included women with lived experience of hypertensive disorders of pregnancy (n = 8), obstetricians (n = 2), midwives (n = 5) and general practitioners (n = 3). Target priorities were to improve communication between hospital staff and general practitioners following the occurrence of hypertensive disorders of pregnancy and increase the knowledge of general practitioners and women regarding cardiovascular disease prevention after cardiometabolic pregnancy complications. Part 1 of the intervention is set within the hospital setting and delivered via physical resources to address the communication gap between hospital and primary care providers about the occurrence of hypertensive disorders of pregnancy. Part 2 is delivered via an update to an existing general practice education platform and through resources for use within consultations to provide education for women and general practitioners about cardiovascular disease prevention after hypertensive disorders of pregnancy. Conclusion: The Integrated Knowledge Translation and Behaviour Change Wheel frameworks aided in the development of a targeted intervention to improve implementation of cardiovascular risk assessment and management for women after hypertensive disorders of pregnancy, based on gaps identified in current primary care practice.

Background: The associations between 1-carbon metabolism (OCM) nutrients (methionine, folate, vitamin B-6, and vitamin B-12) and Alzheimer disease (AD) remains inconclusive. Objectives: This study aimed to investigate the association of dietary OCM nutrients with subsequent risk of AD and further assess whether participants with high genetic risk for AD might benefit from dietary OCM nutrients. Methods: We analyzed data from 192,214 participants who completed at least one 24-h dietary questionnaire and had no previous history of AD based on the UK Biobank. Nutrients intake was calculated using McCance and Widdowson's The Composition of Food and USDA's Food and Nutrient Database for Dietary Studies. Cox proportional models with restricted cubic splines were applied to explore the associations. Results: Over a median follow-up of 13.35 y, 959 cases of AD (41 early-onset cases and 918 late-onset cases) were identified. Compared with those in the low-intake OCM group (quartile 1), participants in the high-intake OCM group (quartile 4) had reduced risk of developing AD. The corresponding hazard ratios (HRs) and 95% confidence intervals (CIs) for methionine, folate, vitamin B-6, and vitamin B-12 intake were 0.66 (0.54, 0.80), 0.71 (0.58, 0.87), 0.71 (0.59, 0.87), and 0.77 (0.64, 0.93), respectively. Similar associations were observed in late-onset AD. In early-onset AD, high methionine and vitamin B-12 intake were associated with 70% (HR: 0.30; 95% CI: 0.10, 0.86) and 71% (HR: 0.29; 95% CI: 0.09, 0.96) reduction in risk, respectively. Participants with low genetic risk and high OCM nutrients intake had >75% reduced AD risk compared with high-risk, low-intake participants. Conclusions: In this prospective cohort study, we found that higher intake of OCM nutrients is associated with reduced risk of AD. Participants with high genetic risk of AD are more likely to benefit from dietary OCM nutrients intake.

OBJECTIVE: We conducted a systematic review and meta-analysis to examine the relationship between stillbirth and various perinatal outcomes in subsequent pregnancy. DATA SOURCES: PubMed, the Cochrane Library, Embase, Web of Science, and CNKI databases were searched up to July 2023. STUDY ELIGIBILITY CRITERIA: Cohort studies that reported the association between stillbirth and perinatal outcomes in subsequent pregnancies were included. METHODS: We conducted this systematic review and meta-analysis in accordance with the PRISMA guidelines. Statistical analysis was performed using Rand Stata software. We used random-effects models to pool each outcome of interest. We performed a meta-regression analysis to explore the potential heterogeneity. The certainty (quality) of evidence assessment was performed using the GRADE approach. RESULTS: Nineteen cohort studies were included, involving 4,855,153 participants. From these studies, we identified 28,322 individuals with previous stillbirths who met the eligibility criteria. After adjusting for confounders, evidence of low to moderate certainty indicated that compared with women with previous live births, women with previous stillbirths had higher risks of recurrent stillbirth (odds ratio, 2.68; 95% confidence interval, 2.01-3.56), preterm birth (odds ratio, 3.15; 95% confidence interval, 2.07-4.80), neonatal death (odds ratio, 4.24; 95% confidence interval, 2.65-6.79), small for gestational age/intrauterine growth restriction (odds ratio, 1.3; 95% confidence interval, 1.0-1.8), low birthweight (odds ratio, 3.32; 95% confidence interval, 1.46-7.52), placental abruption (odds ratio, 3.01; 95% confidence interval, 1.01-8.98), instrumental delivery (odds ratio, 2.29; 95% confidence interval, 1.68-3.11), labor induction (odds ratio, 4.09; 95% confidence interval, 1.88-8.88), cesarean delivery (odds ratio, 2.38; 95% confidence interval, 1.20-4.73), elective cesarean delivery (odds ratio, 2.42; 95% confidence interval, 1.82-3.23), and emergency cesarean delivery (odds ratio, 2.35; 95% confidence interval, 1.81-3.06) in subsequent pregnancies, but had a lower rate of spontaneous labor (odds ratio, 0.22; 95% confidence interval, 0.13-0.36). However, there was no association between previous stillbirth and preeclampsia (odds ratio, 1.72; 95% confidence interval, 0.63-4.70) in subsequent pregnancies. CONCLUSION: Our systematic review and meta-analysis provide a more comprehensive understanding of adverse pregnancy outcomes associated with previous stillbirth. These findings could be used to inform counseling for couples who are considering pregnancy after a previous stillbirth.

Background Metabolic disorders exhibit strong inflammatory underpinnings and vice versa. This study aimed to investigate the association between metabolic health status, genetic predisposition, and the risk of inflammatory bowel disease (IBD), and to explore the potential benefits of maintaining ideal metabolic status for individuals with a predetermined genetic risk of IBD. Method This population-based prospective study included 385,820 unrelated European descent participants from the UK Biobank. Using multivariable Cox regression, we assessed the relationship of metabolic phenotypes with risk of IBD and its subtypes. We also developed a polygenic risk score to examine how metabolic health status interacted with genetic risk in relation to IBD risk. Results During the follow-up period of 4,328,895 person-years, 2,044 newly-diagnosed IBD cases were identified. Higher genetic risk and an increasing number of abnormal metabolic phenotypes were associated with elevated IBD risk (p-trend <0.001). Individuals with high genetic risk and poor metabolic health had a significantly higher risk of IBD (HR=4.56, 95 % CI=3.27–6.36) compared to those with low genetic risk and ideal metabolic health. These results remained consistent for IBD subtypes. Maintaining ideal metabolic status reduced IBD risk within each genetic risk category and jointly decreased subsequent risk by 40 % in high genetic risk individuals. Conclusion Our study reveals a combined impact of poor metabolic health and genetic risk on IBD incidence. Those with low genetic risk and optimal metabolic health exhibit the lowest IBD risk, offering insights into potential management strategies for individuals at predefined genetic risk.

Background: Currently, there is no systematic review to investigate the effectiveness of digital interventions for healthy ageing and cognitive health of older adults. This study aimed to conduct a systematic review to evaluate the effectiveness of digital intervention studies for facilitating healthy ageing and cognitive health and further identify the considerations of its application to older adults. Methods: A systematic review and meta-analysis of literature were conducted across CINAHL, Medline, ProQuest, Cochrane, Scopus, and PubMed databases following the PRISMA guideline. All included studies were appraised using the Mixed Methods Appraisal Tool Checklist by independent reviewers. Meta-analyses were performed using JBI SUMARI software to compare quantitative studies. Thematic analyses were used for qualitative studies and synthesised into the emerging themes. Results: Thirteen studies were included. Quantitative results showed no statistically significant pooled effect between health knowledge and healthy behaviour (I2 =76, p=0.436, 95% CI [-0.32,0.74]), and between cardiovascular-related health risks and care dependency I2=0, p=0.426, 95% CI [0.90,1.29]). However, a statistically significant cognitive function preservation was found in older adults who had long-term use of laptop/cellphone devices and had engaged in the computer-based physical activity program (I2=0, p<0.001, 95% CI [0.01, 0.21]). Qualitative themes for the considerations of digital application to older adults were digital engagement, communication, independence, human connection, privacy, and cost. Conclusions: Digital interventions used in older adults to facilitate healthy ageing were not always effective. Health knowledge improvement does not necessarily result in health risk reduction in that knowledge translation is key. Factors influencing knowledge translation (i.e., digital engagement, human coaching etc) were identified to determine the intervention effects. However, using digital devices appeared beneficial to maintain older adults' cognitive functions in the longer term. Therefore, the review findings suggest that the expanded meaning of a person-centred concept (i.e., from social, environmental, and healthcare system aspects) should be pursued in future practice. Privacy and cost concerns of technologies need ongoing scrutiny from policy bodies. Future research looking into the respective health benefits can provide more understanding of the current digital intervention applied to older adults. Study registration: PROSPERO record ID: CRD42023400707 https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=400707 .

Purpose: Though a growing crop of health care reforms aims to encourage health care-based social screening, no literature has synthesized existing social screening implementation research to inform screening practice and policymaking. Methods: Systematic scoping review of peer-reviewed literature on social screening implementation published 1/1/2011-2/17/2022. We applied a 2-concept search (health care-based screening; social risk factors) to PubMed and Embase. Studies had to explore the implementation of health care-based multi-domain social screening and describe 1+ outcome related to the reach, adoption, implementation, and/or maintenance of screening. Two reviewers extracted data related to key study elements, including sample, setting, and implementation outcomes. Results: Forty-two articles met inclusion criteria. Reach (n = 7): We found differences in screening rates by patient race/ethnicity; findings varied across studies. Patients who preferred Spanish had lower screening rates than English-preferring patients. Adoption (n = 13): Workforce education and dedicated quality improvement projects increased screening adoption. Implementation (n = 32): Time was the most cited barrier to screening; administration time differed by tool/workforce/modality. Use of standardized screening tools/workflows improved screening integration. Use of community health workers and/or technology improved risk disclosure and facilitated screening in resource-limited settings. Maintenance (n = 1): Only 1 study reported on maintenance; results showed a drop in screening over 21 months. Conclusions: Critical evidence gaps in social screening implementation persist. These include gaps in knowledge about effective strategies for integrating social screening into clinical workflows and ways to maximize screening equity. Future research should leverage the rapidly increasing number of screening initiatives to elevate and scale best practices.

Background There are debates in acupuncture related systematic reviews and meta-analyses on whether searching Chinese databases to get more Chinese-language studies may increase the risk of bias and overestimate the effect size, and whether the treatment effects of acupuncture differ between Chinese and non-Chinese populations.Methods In this meta-epidemiological study, we searched the Cochrane library from its inception until December 2021, and identified systematic reviews and meta-analyses with acupuncture as one of the interventions. Paired reviewers independently screened the reviews and extracted the information. We repeated the meta-analysis of the selected outcomes to separately pool the results of Chinese- and non-Chinese-language acupuncture studies and presented the pooled estimates as odds ratios (OR) with 95% confidence interval (CI). We calculated the Ratio of ORs (ROR) by dividing the OR of the Chinese-language trials by the OR of the non-Chinese-language trials, and the ROR by dividing the OR of trials addressing Chinese population by the OR of trials addressing non-Chinese population. We explored whether the impact of a high risk of bias on the effect size differed between studies published in Chinese- and in non-Chinese-language, and whether the treatment effects of acupuncture differed between Chinese and non-Chinese population.Results We identified 84 Cochrane acupuncture reviews involving 33 Cochrane groups, of which 31 reviews (37%) searched Chinese databases. Searching versus not searching Chinese databases significantly increased the contribution of Chinese-language literature both to the total number of included trials (54% vs. 15%) and the sample size (40% vs. 15%). When compared with non-Chinese-language trials, Chinese-language trials were associated with a larger effect size (pooled ROR 0.51, 95% CI 0.29 to 0.91). We also observed a higher risk of bias in Chinese-language trials in blinding of participants and personnel (97% vs. 51%) and blinding of outcome assessment (93% vs. 47%). The higher risk of bias was associated with a larger effect estimate in both Chinese-language (allocation concealment: high/unclear risk vs. low risk, ROR 0.43, 95% CI 0.21 to 0.87) and non-Chinese-language studies (blinding of participants and personnel: high/unclear risk vs. low risk, ROR 0.41, 95% CI 0.23 to 0.74). However, we found no evidence that the higher risk of bias would increase the effect size of acupuncture in Chinese-language studies more often than in non-Chinese-language studies (the confidence intervals of all ROR in the high-risk group included 1, Table 3). We further found acupuncture appeared to be more effective in Chinese than in non-Chinese population (Table 4).Conclusions The findings of this study suggest the higher risk of bias may lead to an overestimation of the treatment effects of acupuncture but would not increase the treatment effects in Chinese-language studies more often than in other language studies. The difference in treatment effects of acupuncture was probably associated with differences in population characteristics.

IntroductionThere was limited evidence on the quality of reporting and methodological quality of prediction models using machine learning methods in preterm birth. This systematic review aimed to assess the reporting quality and risk of bias of a machine learning-based prediction model in preterm birth. Material and methodsWe conducted a systematic review, searching the PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disk, VIP Database, and WanFang Data from inception to September 27, 2021. Studies that developed (validated) a prediction model using machine learning methods in preterm birth were included. We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement and Prediction model Risk of Bias Assessment Tool (PROBAST) to evaluate the reporting quality and the risk of bias of included studies, respectively. Findings were summarized using descriptive statistics and visual plots. The protocol was registered in PROSPERO (no. CRD 42022301623). ResultsTwenty-nine studies met the inclusion criteria, with 24 development-only studies and 5 development-with-validation studies. Overall, TRIPOD adherence per study ranged from 17% to 79%, with a median adherence of 49%. The reporting of title, abstract, blinding of predictors, sample size justification, explanation of model, and model performance were mostly poor, with TRIPOD adherence ranging from 4% to 17%. For all included studies, 79% had a high overall risk of bias, and 21% had an unclear overall risk of bias. The analysis domain was most commonly rated as high risk of bias in included studies, mainly as a result of small effective sample size, selection of predictors based on univariable analysis, and lack of calibration evaluation. ConclusionsReporting and methodological quality of machine learning-based prediction models in preterm birth were poor. It is urgent to improve the design, conduct, and reporting of such studies to boost the application of machine learning-based prediction models in preterm birth in clinical practice.

Intrauterine growth retardation (IUGR) is a major complication of pregnancy and is the second leading cause of perinatal morbidity and mortality. The etiology of IUGR is multifactorial and the maternal factors are easily identifiable and modifiable. The present study aimed to perform a meta-analysis to identify the association between various maternal factors and IUGR. Eight electronic databases (PubMed, Cochrane, Embase, CIHNAL Plus, CNKI, VIP database, CBM, and WanFang database) were searched from their inception until July 2020. Eligibility screening, data extraction, and quality assessment of the retrieved articles were conducted independently by two reviewers. The Newcastle-Ottawa Quality Assessment Form and the Joanna Briggs Institute critical appraisal tool were used to evaluate the quality of included studies. The outcomes of study were calculated by OR with 95%CI. The study protocol was registered with PROSPERO (No. CRD42020210615). A total of 15 studies were included, with a sample size range from 152 to 9372. The quality of included studies ranged from moderate to high. The pooled results identified seven factors: smoking (OR = 1.62, 95%CI 1.38-1.90), primiparity (OR = 1.64, 95%CI 1.20-2.24), and prepregnancy.BMI < 18.5 (OR = 1.98, 95%CI 1.29-3.03), anemia (OR = 2.01, 95%CI 1.44-2.82), hypoproteinemia (OR = 2.91, 95%CI 1.94-4.36), pregnancy-induced hypertension (OR = 3.45, 95%CI 1.80-6.58), and maternal gestational weight gain (OR = 2.51, 95%CI 1.88-3.35). The present study identified several maternal factors for IUGR: smoking, primiparity, prepregnancy BMI < 18.5, poor gestational weight gain, PIH, anemia, and hypoproteinemia. The result could serve to generate risk factors prediction models, improve the management and education for child-bearing or early pregnant women.

Objectives: To establish whether items included in instruments published in the last decade assessing risk of bias of randomized controlled trials (RCTs) are indeed addressing risk of bias.Study Design and Setting: We searched Medline, Embase, Web of Science, and Scopus from 2010 to October 2021 for instruments assessing risk of bias of RCTs. By extracting items and summarizing their essential content, we generated an item list. Items that two re-viewers agreed clearly did not address risk of bias were excluded. We included the remaining items in a survey in which 13 experts judged the issue each item is addressing: risk of bias, applicability, random error, reporting quality, or none of the above.Results: Seventeen eligible instruments included 127 unique items. After excluding 61 items deemed as clearly not addressing risk of bias, the item classification survey included 66 items, of which the majority of respondents deemed 20 items (30.3%) as addressing risk of bias; the majority deemed 11 (16.7%) as not addressing risk of bias; and there proved substantial disagreement for 35 (53.0%) items. Conclusion: Existing risk of bias instruments frequently include items that do not address risk of bias. For many items, experts disagree on whether or not they are addressing risk of bias.(c) 2022 Elsevier Inc. All rights reserved.

Background: Several studies have revealed a positive correlation between a Helicobacter pylori (HP) infection and the risk of non-alcoholic fatty liver disease (NAFLD). This meta-analysis was conducted to explore further the relationship between HP infection and NAFLD in the Asian and non-Asian populations. Methods: Relevant studies published from inception to July 22, 2021, in the following databases: PubMed, EMBASE, the Cochrane library, and Web of Science were comprehensively searched. The odds ratio (OR) and hazard ratio (HR) with a 95% confidence interval (95%CI) were pooled by the random-effects model or fixed-effects model. Additionally, subgroup and sensitivity analyses were performed. The funnel plot and the Egger test were used to estimate publication bias. Results: This meta-analysis included 25 studies involving 107,306 participants. Positive associations between HP infection and NAFLD were found both for the Asian (OR = 1.30, 95% CI: 1.13-1.49, P < 0.01; I-2 = 94.30%, P < 0.01) and non-Asian populations (OR = 1.42, 95% CI: 1.04-1.94, P = 0.03; I-2 = 44.90%, P = 0.09). Moreover, similar results were observed in the Asian female group (OR = 1.31, 95% CI: 1.17-1.46, P < 0.01; I-2 = 46.30%, P = 0.07) but not for the Asian male group. Subgroup analyses for the Asian population showed that there were differences in the association among NAFLD diagnosis methods (P < 0.01) and the study design (P < 0.01). However, subgroup and sensitivity analyses results showed that the association for the non-Asian population was not stable enough. Conclusions: The data obtained in this systematic review and meta-analysis suggested that an HP infection was associated with an increased risk of NAFLD for Asian and non-Asian populations. However, the association was not found for Asian males. Further studies are required to establish the causal association, especially for the non-Asian population.

Aims and Objectives The aim of this study was to assess methodological quality of all currently available guidelines and consensus statements for IAD using the Appraisal of Guidelines, Research and Evaluation (AGREE) II and the AGREE Recommendation Excellence (AGREE-REX) instruments. Background Globally, incontinence-associated dermatitis (IAD) is a significant health challenge. IAD is a complex healthcare problem that reduces quality of life of patients, increases healthcare costs and prolongs hospital stays. Several guidelines and consensus statements are available for IAD. However, the quality of these guidelines and consensus statements remains unclear. Design A systematic review of guidelines and consensus statements. Methods Our study was undertaken using PRISMA guidelines. We searched seven electronic databases. Guidelines and consensus statements had to be published in English, Chinese or German languages. Five independent reviewers assessed the methodological quality of guidelines and consensus statements using the AGREE II and AGREE-REX instruments. Mean with standard deviation (SD) and median with interquartile range (IQR) were calculated for descriptive analyses. We generated bubble plots to describe the assessment results of each domain of each guideline and consensus statement. Results We included ten guidelines and consensus statements. The NICE guidelines, obtained the highest scores, fulfilled 86.11%-98.61% of criteria in AGREE II and 76.67%-91.11% for AGREE-REX. In the domains 'Stakeholder Involvement' (4.39 +/- 1.64), 'Rigor of Development' (3.38 +/- 1.86), 'Applicability' (3.62 +/- 1.64), 'Editorial Independence' (3.91 +/- 2.56) and 'Values and Preferences' (2.98 +/- 1.41), the remaining guidelines and consensus statements showed deficiencies. Conclusions Altogether, this study demonstrated that the currently available guidelines and consensus statements for IAD have room for methodological improvement. NICE guidelines on faecal incontinence and urinary incontinence have better quality. Remaining guidelines and consensus statements showed substantial methodological weaknesses, especially the domains of 'Stakeholder Involvement', 'Rigor of Development', 'Applicability', 'Editorial independence' and 'Values and Preferences'. This study was registered on INPLASY. (Registration number: INPLASY202190078). Relevance to Clinical Practice The currently available guidelines and consensus statements on IAD have room for methodological improvement.

Objective: This study collected randomized controlled trials (RCTs) published in the social sciences in China and assessed their risk of bias and reporting quality. Study design and setting: Three databases were systematically searched for publications from January 2000 to June 2020 for RCTs in the social sciences published by Chinese researchers. The risk of bias was assessed using the Cochrane Collaboration Risk of Bias Tool, and reporting quality was assessed using the Consolidated Standards of Reporting Trials for Social and Psychological Interventions (CONSORT-SPI). Results: A total of 316 RCTs were identified, including 204 articles in English and 112 articles in Chinese. The most frequently researched interventions focused on education (33.9%), and the most frequently studied population were students (32.9%). Eighty-seven percent of RCTs had intermediate reporting quality. Twenty-four of the 43 CONSORT-SPI sub-items had a compliance rate of less than 50%. Most RCTs had an unclear risk of bias for blinding outcome assessors (84.5%), blinding participants and personnel (82.9%), allocation concealment (73.1%), and random sequence generation (68.0%). A low proportion of CONSORT-SPI items were reported and, high proportion of the papers had unclear risk of bias. Conclusion: The quality and reporting of RCTs in the social sciences needs improvement in China, especially for reporting methods and results. Most studies had an unclear risk of bias as they lacked important methodological information. (c) 2021 Elsevier Inc. All rights reserved.

Objective: To describe the characteristics of Covid-19 randomized clinical trials (RCTs) and examine the association between trial characteristics and the likelihood of finding a significant effect. Study design: We conducted a systematic review to identify RCTs (up to October 21, 2020) evaluating drugs or blood products to treat or prevent Covid-19. We extracted trial characteristics (number of centers, funding sources, and sample size) and assessed risk of bias (RoB) using the Cochrane RoB 2.0 tool. We performed logistic regressions to evaluate the association between RoB due to randomization, single vs. multicentre, funding source, and sample size, and finding a statistically significant effect. Results: We included 91 RCTs (n = 46,802); 40 (44%) were single-center, 23 (25.3%) enrolled < 50 patients, 28 (30.8%) received industry funding, and 75 (82.4%) had high or probably high RoB. Thirty-eight trials (41.8%) reported a statistically significant effect. RoB due to randomization and being a single-center trial were associated with increased odds of finding a statistically significant effect. Conclusions: There is high variability in RoB among Covid-19 trials. Researchers, funders, and knowledge-users should be cognizant of the impact of RoB due to randomization and single-center trial status in designing, evaluating, and interpreting the results of RCTs. (C) 2021 Elsevier Inc. All rights reserved.

Background Mild cognitive impairment (MCI) is a cognitive state falling between normal aging and dementia. The relation between alcohol intake and risk of MCI as well as progression to dementia in people with MCI (PDM) remained unclear. Objective To synthesize available evidence and clarify the relation between alcohol intake and risk of MCI as well as PDM. Method We searched electronic databases consisting of PubMed, EMBASE, Cochrane Library, and China Biology Medicine disc (CBM) from inception to October 1, 2019. Prospective studies reporting at least three levels of alcohol exposure were included. Categorical meta-analysis was used for quantitative synthesis of the relation between light, moderate and heavy alcohol intake with risk of MCI and PDM. Restricted cubic spline and fixed-effects dose-response models were used for dose-response analysis. Result Six cohort studies including 4244 individuals were finally included. We observed an unstable linear relation between alcohol intake (drinks/week) and risk of MCI (P linear = 0.0396). It suggested that a one-drink increment per week of alcohol intake was associated with an increased risk of 3.8% for MCI (RR, 1.038; 95% CI 1.002-1.075). Heavy alcohol intake (> 14 drinks/week) was associated with higher risk of PDM (RR = 1.76; 95% CI 1.10-2.82). And we found a nonlinear relation between alcohol intake and risk of PDM. Drinking more than 16 drinks/week (P nonlinear = 0.0038, HR = 1.42; 95% CI 1.00-2.02), or 27.5 g/day (P nonlinear = 0.0047, HR = 1.46; 95% CI 1.00-2.11) would elevate the risk of PDM. Conclusion There was a nonlinear dose-response relation between alcohol intake and risk of PDM. Excessive alcohol intake would elevate the risk of PDM.

Background and objective: Recently, several studies have investigated the prevalence of chronic obstructive pulmonary disease (COPD) at high altitude (>1,500 m). However, much remains to be understood about the correlation between altitude and COPD. We aimed to summarize the prevalence of COPD at high-altitudes and find out if altitude could be a risk factor for COPD. Methods: We searched PubMed/Medline, Cochrane Library, Web of Science, SCOPUS, OVID, Chinese Biomedical Literature Database (CBM) and Embase databases from inception to April 30th, 2019, with no language restriction. We used STATA 14.0 to analyze the extracted data. A random-effect model was used to calculate the combined OR and 95% CI. Heterogeneity was assessed by the I 2 statistic versus P-value. We performed a subgroup analysis to analyze possible sources of heterogeneity. The Egger's test and the Begg's test were used to assess any publication bias. Results: We retrieved 4,574 studies from seven databases and finally included 10 studies (54,578 participants). Males ranged from 18.8% to 49.3% and the population who smoked ranged from 3.3% to 53.3%. The overall prevalence of COPD at high-altitude was 10.0% (95% CI [0.08-0.12], P < 0.001). In a subgroup analysis, based on different regions, the results showed that the prevalence in Asia was higher than that in Europe and America. Seven studies compared the relationship between the prevalence of COPD at high-altitudes and the lowlands. The results showed that altitude was not an independent risk factor for the prevalence of COPD (ORadj = 1.18, 95% CI [0.85-1.62], P = 0.321). There was no publication bias among the studies. Conclusions: Our study found a higher prevalence of COPD at high-altitudes than those from average data. However, altitude was not found to be an independent risk factor for developing COPD (PROSPERO Identifier: CRD42019135012).

Background This systematic map principally sought to understand the different forms of effectiveness that existing studies evaluate in relation to Natural Flood Management (NFM) in the UK with a supplementary question of whether studies engaged with climate change and future flood risk. NFM measures seek to protect, enhance, emulate, or restore the natural function of rivers as part of approaches to flood risk management (FRM). While there is agreement in both academic and practice/policy literature that NFM should be part of a holistic FRM strategy to address current and future flood risk, the specifics of how to expand the application of and consistently implement NFM successfully in practice are less well known. A core focus of this study is on how the effectiveness of NFM measures is evaluated in different studies based on approaches drawn from the Environmental Impact Assessment (EIA) literature: procedural, substantive, transactive and normative. The systematic map also examines how studies account for climate change, which is a crucial issue given the connections between NFM and climate change adaptation and resilience. Methods We searched 13 bibliographic databases, Google scholar as a web-based search engine, and 21 organisational sites. Articles were screened by title, abstract, and full text based on defined eligibility criteria. Checks were performed for consistency amongst reviewers. Forms of effectiveness were coded on the basis of the included studies in the systematic map. The quantity and characteristics of the available evidence are summarised with the frequencies of effectiveness forms for each NFM measure are presented in heat maps. Review findings A total of 216 articles reported eligible studies that were coded as part of the systematic map. Overall, the systematic map shows that the majority of studies considered at least one approach to effectiveness; however, very few studies considered multiple forms of effectiveness. The systematic map also demonstrates that climate change is considered systematically by around one-quarter of studies although many studies make claims about NFM’s effectiveness in the face of future climatic change. Conclusions NFM can be effective in several different ways owing to their multiple benefits; however, there are evidence gaps around understanding these different forms of effectiveness. This is particularly marked for studies considering transactive and normative effectiveness. Interdisciplinary studies are more likely to consider multiple forms of effectiveness. This systematic map also found that whilst 75% of studies mention future climate change in their studies, only 24.1% contain a systematic consideration of the issue through, for example, using climate change projections. NFM is also at risk of climate change (e.g. through drought) and therefore it is imperative that study designs seek to incorporate consideration of effectiveness under future climate change. Policymakers should be made aware of the lack of understanding of how NFM measures perform under future climate change. Keywords Flooding, Flood risk management, Environmental Impact Assessment, Climate change adaptation, River catchments, Nature-based solutions, Natural Flood Management Background Natural flood management (NFM) measures seek to protect, enhance, emulate, or restore the natural function of rivers as part of approaches to flood risk management (FRM). While there is agreement in both academic and practice/policy literature that NFM, in a general sense, should be part of a holistic FRM strategy to address current and future flood risk, the specifics of how to consistently implement NFM successfully in practice are less well known. This is particularly acute for practitioners in the UK given the nature of the UK’s biophysical and socio-political context. There is a recognition that existing reviews of NFM effectiveness in the UK tend to focus on the natural science basis and it is unclear how studies account for climate change. Further, reviews tend to focus only on UK studies. This systematic map aims to highlight the way in which existing NFM studies, from different disciplinary backgrounds and across Europe, evaluate effectiveness, and the extent to which they account for climate change. This knowledge can help to make recommendations for future areas of research where the multiple issues around understanding effectiveness can be synthesised, and where climate change is systematically taken into account. Methods This systematic map protocol addresses the following question: what approaches exist to evaluate the effectiveness of UK-relevant natural flood management measures? The protocol details the methodology that will be used to conduct a systematic map of the range of peer-reviewed journal papers, policy documents, guidance, and other forms of grey literature which currently exist on NFM to give an overview on the way in which the effectiveness of NFM is conceived. The methods detail the search strategy employed for gathering items across the peer-reviewed academic literature and grey literature. Additionally, the methods outline how the reviewers will approach article screening, and the eligibility criteria to include/exclude articles. The methods also details the steps taken to ensure consistency across all reviewers, the data coding strategy, and methods for presenting the final systematic map. Together, the methods employed will help to identify current knowledge gaps, and will enable recommendations to be made for future research.