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Additional file 2

Additional file 2. 1. PubMed search history. 2. EMBASE search history (Elsevier). 3. Scopus search history. 4. Search from CINHAL.

Additional file 1. STROBE Statement—Checklist of items included in reports.

Additional file 1. Contains additional results for readers wishing to read further. This includes study participants, supplemental dosage, dietary intakes, blood tyrosine values, percent expected body weight and results of psychological tests.

Additional file 3. Newcastle Ottawa (NOS) critical appraisal evaluation for Cross sectional and Cohort studies.

Additional file 2. Sensitivity analysis (E-values) for the association between low social support and the risk of antenatal depressive symptoms for the final adjusted model.

Additional file 2. Data extraction sheet used for studies examining the relationship between social support and mental health problems (depression, anxiety and self-harm) among adult pregnant mothers.

Additional file 3. Sensitivity analysis (E-values) for the association between low social support and the risk of antenatal anxiety symptoms for the final adjusted model.

Additional file 1. Tables and additional files.

Additional file 1. PRISMA 2009 Checklist.

Additional file 1. PRISMA 2020 Checklist.

Additional file 3. Sensitivity analysis (E-values) for the association between low social support and the risk of antenatal anxiety symptoms for the final adjusted model.

Additional file 2. Sensitivity analysis (E-values) for the association between low social support and the risk of antenatal depressive symptoms for the final adjusted model.

Additional file 1. Search Design.

Supplemental material, Outline_of_revisions_Risk_factors_for_developing_co-morbid_sleeping_problems for Risk Factors for Developing Comorbid Sleeping Problems: Results of a Survey of 1,925 Women Over 50 With a Chronic Health Condition by Sophie Meredith, Jane Frawley, Jon Adams and David Sibbritt in Journal of Aging and Health

Survey questionnaire. (PDF 2893Â kb)

Background: Special diets are frequently used by the public but reasons for use and characteristics of users remain unclear.AIM: To determine prevalence of the use of special diets, the individual characteristics associated with their use and reasons for use. Methods: The secondary analysis used data from the 2012 National Health Interview Survey (NHIS), a cross-sectional household interview survey of a nationally representative sample of non-hospitalized US adult populations ( n = 34,525). The dependent variables in this secondary analysis were the use of a special diet (vegetarian, macrobiotic, Atkins, Pritikin, and Ornish) ever and during the past 12 months. Independent variables included sociodemographic, clinical and behavioral variables. Prevalence of special diet use and reasons for use were analyzed descriptively. Associations between independent and dependent variables were analyzed using Chi-square tests and logistic regression. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Results: Lifetime and 12-month prevalence of using special diets were 7.5% (weighted n = 17.7 million) and 2.9% (weighted n = 6.9 million), respectively. Individuals using special diets in the past 12 months were more likely female (OR = 1.45; 95% CI = 1.21-1.74), not married (OR = 0.76; 95% CI = 0.63-0.91), college-educated (OR = 1.98; 95% CI = 1.25-3.11) and depressed (OR = 1.50; 95% CI = 1.14-1.98). They more likely also used herbal products (OR = 2.35; 95%CI = 1.84-2.99), non-vitamin (OR = 1.82; 95% CI = 1.45-2.27) and vitamin supplements (OR = 1.57; 95% CI = 1.24-1.99). Diets were mainly used to improve overall health (76.7%) or for general wellness/prevention (70.4%). Conclusions: Special diets are mainly used for unspecific health reasons by those who are females, have a college degree or with depression, and commonly used in conjunction with herbs and dietary supplements. Refereed/Peer-reviewed

© 2017 Taylor & Francis Group, LLC. In this article, we explore the use of health services and self-prescribed treatments among 8088 young Australian women with severe tiredness. Data were obtained from the Australian Longitudinal Study on Women's Health. The prevalence of severe tiredness was 49.2%. The frequency of visits to healthcare practitioners was greater among women who sought help for their severe tiredness, compared to women who did not seek help for their severe tiredness or who did not report severe tiredness. Given the impact of this health problem on Australian women, we call for further research on the optimal treatment for severe tiredness.

© 2017 American Headache Society Background: Given the safety concerns regarding pharmacological agents, and the considerable impact of headache and migraine on the sufferer's quality of life, many people seek other treatment options beyond conventional medication and care to address their symptoms; this includes complementary and alternative medicine (CAM). Some CAM interventions have shown promising results in clinical trials of headache and migraine management. Nonetheless, there has been little research exploring the reasons for using CAM, and the types of CAM used, among this population. Objective: The study aimed to answer the following questions: (1) Which CAM modalities are used most frequently among migraine/headache sufferers? and (2) What are the self-reported reasons for CAM use among migraine/headache sufferers?. Methods: This secondary analysis of data from the 2012 U.S. NHIS (a national cross-sectional survey) examined the use of CAM among migraine/headache sufferers, including the main reasons related to CAM use. Data were weighted and analyzed using STATA 14.0. Results: The sample of 34,525 adults included 6558 (18.7%) headache/migraine sufferers. Of the headache/migraine sufferers, a substantial proportion (37.6%, n = 2427) used CAM for various conditions; however, CAM use specifically for headache/migraine was much less prevalent (3.3%, n = 216). Of those who used CAM for headache/migraine, about half used CAM in conjunction with prescription (47.8%, n = 100) or over-the-counter medication (55.1%, n = 113). As severity of headache/migraine increased so did the likelihood of using CAM (severe migraine odds ratio [OR] = 2.32; 95% confidence interval [CI]: 1.41, 3.82; both recurring headache/severe migraine OR = 3.36; 95% CI: 2.08, 5.43; when compared to those with recurring headache only). The most frequently used CAM modality among all headache/migraine sufferers (N = 6558) was manipulative therapy (22.0%, n = 1317), herbal supplementation (21.7%, n = 1389) and mind-body therapy (17.9%, n = 1100). The top 3 reasons for using CAM for headache were general wellness (28.7%, n = 60/209), improving overall health (26.8%, n = 56/209), and reducing stress (16.7%, n = 35/209). Conclusions: Although CAM is used by many sufferers of headache/migraine, the use of CAM specifically for the treatment of headache/migraine is relatively low in the United States. The study also assesses the key differences of CAM use among headache/migraine sufferers in NHIS 2012 compared with those in NHIS 2007, and identifies shortfalls in the evidence-base of several CAM modalities used by U.S. adults for headache/migraine. This information may assist health providers and consumers in making informed decisions about the safest and most appropriate approach to managing headache/migraine.

Background: The Practitioner Research and Collaboration Initiative (PRACI) is an innovative, multi-modality practice-based research network (PBRN) that represents fourteen complementary medicine (CM) professions across Australia. It is the largest known PBRN for complementary healthcare in the world and was launched in 2015. The purpose of this paper is to provide an update on the progress of the PRACI project, including a description of the characteristics of PRACI members in order to facilitate further sub-studies through the PRACI PBRN. Methods: A CM workforce survey was distributed electronically to CM practitioners across fourteen disciplines, throughout Australia. Practitioners electing to become a member of PRACI were registered on the PBRN database. The database was interrogated and the data analysed to described sociodemographic characteristics, practice characteristics, professional qualification and practice interest of PRACI members. Results: Foundational members of PRACI were found to be predominately female (76.2%) and middle-aged (82.5%). Members were primarily located in urban settings (82.5%) across the Eastern seaboard of Australia (82.5%), with few working remotely. The main modalities represented include massage therapists (58.5%), naturopaths (26.4%) and nutritionists (14.4%). The primary area of clinical interest for PRACI members were general health and well-being (75.4%), musculoskeletal complaints (72%) and pain management (62.6%). Conclusions: PRACI provides an important infrastructure for complementary healthcare research in Australia and its success relies on CM practitioners being involved in the research being conducted through the PBRN. The aim of this database is to ensure that the research conducted through PRACI is rigorous, robust, clinically relevant and reflects the diversity of clinical practice amongst CM practitioners in Australia. Refereed/Peer-reviewed

To identify personal and environmental factors associated with adolescent overweight and obesity in Xi'an city, China.A total of 1804 adolescents from 30 junior high schools in six districts in Xi'an City. Community, school, household and individual characteristics were self reported by parents, school doctors and students. Factors associated with adolescent overweight and obesity were identified using a hierarchical logistic regression.In all adolescents, after adjustment for age and gender, factors significantly associated with overweight and obesity were: living in urban districts (odds ratio (OR): 4.0, 95% confidence interval (CI): 2.7-6.0); limited use of school sports facilities (OR: 1.7, 95% CI: 1.1-2.6); wealthy households (OR: 1.7, 95% CI: 1.1-2.6); parental restrictions on purchasing snacks (OR: 1.5, 95% CI: 1.03-2.0); having an overweight/obese parent (OR: 1.8, 95% CI: 1.3-2.5); having soft drinks more than four times per week (OR: 1.6, 95% CI: 1.02-2.5) and not fussy about foods (OR: 1.7, 95% CI: 1.2-2.2). Eating sweets was negatively associated with overweight/obesity (OR: 0.6, 95% CI: 0.4-0.9). Separate gender analyses revealed that in boys, low physical activity (OR: 2.0, 95% CI: 1.1-3.8) and higher energy intake (OR: 1.8, 95% CI: 1.1-2.9) were also associated with overweight/obesity. In girls, less school sports meetings (OR: 2.3, 95% CI: 1.3-4.0); parental decisions about eating fast foods (OR: 1.8, 95% CI: 1.1-2.9) and availability of home video games (OR: 1.7, 95% CI: 1.1-2.5) were also significant.Preventive strategies for adolescent overweight and obesity in Xi'an should address the community and school environments to reinforce behavioral change. Gender differences also need to be considered when planning interventions.

Purpose: To explore the sociodemographic and environmental factors at community, school, and household levels associated with physical inactivity. Methods: In a cross-sectional study in 2004, physical activity level was assessed using a validated questionnaire in 1787 students. Physical inactivity was defined as less than 150 min·wk-1 of moderate activity (4-6 METs) or less than 60 min·wk-1 of vigorous activity (> 6 METs). Sociodemographic and environmental information was recorded on self-administered questionnaires. Hierarchical multiple logistic models were developed based on a conceptual framework of factors related to physical activity. Results: Overall, girls were twice as likely to be inactive. Adolescents aged 14 yr were 30% less likely to be inactive compared with those younger than 13 yr (95% CI: 0.5-0.9). Paternal education was inversely associated with inactivity (OR: 0.6, 95% CI: 0.4-0.9). Adolescents living in neighborhoods without sidewalks were 1.3 times more likely to be inactive (95% CI: 1.0-1.6). At the school level, lack of extracurricular exercise (OR: 1.3, 95% CI: 1.1-1.6) and fewer sports meetings (OR: 2.0, 95% CI: 1.4-2.9) were associated with physical inactivity. Difficult access to community recreational facilities (moderate OR: 1.4, 95% CI: 1.0-1.9; difficult OR: 1.7, 95% CI: 1.2-2.4) and concerns about safety in the neighborhood (OR: 2.1, 95% CI: 1.1-4.1) were associated with inactivity. There were some differences associated with physical inactivity between boys and girls. Conclusion: Strategies to promote physical activity in Chinese adolescents should integrate associated factors at household, school, and community levels and address the important gender differences in factors associated with physical inactivity in youth.

Physical activity levels were assessed among adolescents in Xi'an City, China, using a validated physical activity questionnaire. Physical activity recommendations were met by 56% of the adolescents and boys were more active than girls. The mean daily sedentary time was 6.4 hours, among which 3 hours was spent doing homework.