A control system model of capability-opportunity-motivation and behaviour (COM-B) framework for sedentary and physical activity behaviours.

Objective: Theoretical frameworks are essential for understanding behaviour change, yet their current use is inadequate to capture the complexity of human behaviour such as physical activity. Real-time and big data analytics can assist in the development of more testable and dynamic models of current theories. To transform current behavioural theories into more dynamic models, it is recommended that researchers adopt principles such as control systems engineering. In this article, we aim to describe a control system model of capability-opportunity-motivation and behaviour (COM-B) framework for reducing sedentary behaviour (SB) and increasing physical activity (PA) in adults. Methods: The COM-B model is explained in terms of control systems. Examples of effective behaviour change techniques (BCTs) (e.g. goal setting, problem-solving and social support) for reducing SB and increasing PA were mapped to the COM-B model for illustration. Result: A fluid analogy of the COM-B system is presented. Conclusions: The proposed integrated model will enable empirical testing of individual behaviour change components (i.e. BCTs) and contribute to the optimisation of digital behaviour change interventions.

Effect of cardamom consumption on inflammation and blood pressure in adults: A systematic review and meta-analysis of randomized clinical trials.

Cardamom has the potential to offer anti-inflammatory and antihypertensive advantages, but the findings from clinical trials have been inconsistent. To address this knowledge gap, the present systematic review and meta-analysis were conducted to evaluate the anti-inflammatory and antihypertensive effects of cardamom in adults. We systematically searched databases including PubMed, Scopus, and ISI Web of Sciences, for papers published up to October 2022 to identify clinical studies. Eight eligible studies were included in the meta-analysis. A fixed model was used to estimate weighted mean difference (WMD), standardized mean difference (SMD), and 95% confidence interval (95% CI). The results showed that cardamom significantly reduced the levels of inflammatory factors, including hs-CRP (SMD: -0.60 mg/dL; 95% CI: -0.78 to 0.42), IL-6 (WMD: -1.25 mg/dL; 95% CI: -1.48 to -1.03), TNF-α (WMD: -2.10 kg; 95% CI: -2.36 to -1.84, p < .001), and measures of systolic (WMD: -0.54 mmHg, 95% CI: -0.88, -0.19, p = .002) and diastolic (WMD: -0.90 mmHg; 95% CI: -1.07 to -0.73) blood pressure. The current meta-analysis showed that cardamom can help reduce inflammation and improve blood pressure. However, due to the limited number of studies, caution must be exercised when interpreting the current results.

A Bluetooth-Enabled Device for Real-Time Detection of Sitting, Standing, and Walking: Cross-Sectional Validation Study.

BACKGROUND: This study assesses the accuracy of a Bluetooth-enabled prototype activity tracker called the Sedentary behaviOR Detector (SORD) device in identifying sedentary, standing, and walking behaviors in a group of adult participants. OBJECTIVE: The primary objective of this study was to determine the criterion and convergent validity of SORD against direct observation and activPAL. METHODS: A total of 15 healthy adults wore SORD and activPAL devices on their thighs while engaging in activities (lying, reclining, sitting, standing, and walking). Direct observation was facilitated with cameras. Algorithms were developed using the Python programming language. The Bland-Altman method was used to assess the level of agreement. RESULTS: Overall, 1 model generated a low level of bias and high precision for SORD. In this model, accuracy, sensitivity, and specificity were all above 0.95 for detecting sitting, reclining, standing, and walking. Bland-Altman results showed that mean biases between SORD and direct observation were 0.3% for sitting and reclining (limits of agreement [LoA]=-0.3% to 0.9%), 1.19% for standing (LoA=-1.5% to 3.42%), and -4.71% for walking (LoA=-9.26% to -0.16%). The mean biases between SORD and activPAL were -3.45% for sitting and reclining (LoA=-11.59% to 4.68%), 7.45% for standing (LoA=-5.04% to 19.95%), and -5.40% for walking (LoA=-11.44% to 0.64%). CONCLUSIONS: Results suggest that SORD is a valid device for detecting sitting, standing, and walking, which was demonstrated by excellent accuracy compared to direct observation. SORD offers promise for future inclusion in theory-based, real-time, and adaptive interventions to encourage physical activity and reduce sedentary behavior.

Just-In-Time Adaptive Intervention to Sit Less and Move More in People With Type 2 Diabetes: Protocol for a Microrandomized Trial.

BACKGROUND: Reducing sedentary behavior and increasing physical activity in people with type 2 diabetes (T2D) are associated with various positive health benefits. Just-in-time adaptive interventions offer the potential to target both of these behaviors through more contextually aware, tailored, and personalized support. We have developed a just-in-time adaptive intervention to promote sitting less and moving more in people with T2D. OBJECTIVE: This paper presents the study protocol for a microrandomized trial to investigate whether motivational messages are effective in reducing time spent sitting in people with T2D and to determine what behavior change techniques are effective and in which context (eg, location, etc). METHODS: We will use a 6-week microrandomized trial design. A total of 22 adults with T2D will be recruited. The intervention aims to reduce sitting time and increase time spent standing and walking and comprises a mobile app (iMove), a bespoke activity sensor called Sedentary Behavior Detector (SORD), a messaging system, and a secured database. Depending on the randomization sequence, participants will potentially receive motivational messages 5 times a day. RESULTS: Recruitment was initiated in October 2022. As of now, 6 participants (2 female and 4 male) have consented and enrolled in the study. Their baseline measurements have been completed, and they have started using iMove. The mean age of 6 participants is 56.8 years, and they were diagnosed with T2D for 9.4 years on average. CONCLUSIONS: This study will inform the optimization of digital behavior change interventions to support people with T2D Sit Less and Move More to increase daily physical activity. This study will generate new evidence about the immediate effectiveness of sedentary behavior interventions, their active ingredients, and associated factors. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry ACTRN12622000426785; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383664. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41502.

Burden of Hypertensive Heart Disease and High Systolic Blood Pressure in Australia from 1990 to 2019: Results From the Global Burden of Diseases Study.

BACKGROUND: There is a dearth of comprehensive studies examining the burden and trends of hypertensive heart disease (HHD) and high systolic blood pressure (SBP) among the Australian population. We aimed to explore the burden of HHD and high SBP, and how they changed over time from 1990 to 2019 in Australia. METHODS: We analysed data from the Global Burden of Disease study in Australia. We assessed the prevalence, mortality, disability-adjusted life-years (DALY), years lived with disability (YLD) and years of life lost (YLL) attributable to HHD and high SBP. Data were presented as point estimates with 95% uncertainty intervals (UI). We compared the burden of HHD and high SBP in Australia with World Bank defined high-income countries and six other comparator countries with similar sociodemographic characteristics and economies. RESULTS: From 1990 to 2019, the burden of HHD and high SBP in Australia reduced. Age standardised prevalence rate of HHD was 119.3 cases per 100,000 people (95% UI 86.6-161.0) in 1990, compared to 80.1 cases (95% UI 57.4-108.1) in 2019. Deaths due to HDD were 3.4 cases per 100,000 population (95% UI 2.6-3.8) in 1990, compared to 2.5 (95% UI 1.9-3.0) in 2019. HHD contributed to 57.2 (95% UI 46.6-64.7) DALYs per 100,000 population in 1990 compared to 38.4 (95% UI 32.0-45.2) in 2019. Death rates per 100,000 population attributable to high SBP declined significantly over time for both sexes from 1990 (155.6 cases; 95% UI 131.2-177.0) to approximately one third in 2019 (53.8 cases; 95% UI 43.4-64.4). Compared to six other countries in 2019, the prevalence of HHD was highest in the USA (274.3%) and lowest in the UK (52.6%), with Australia displaying the third highest prevalence. Australia ranked second in term of lowest rates of deaths and third for lowest DALYs respectively due to high SBP. From 1990-2019, Australia ranked third best for reductions in deaths and DALYs due to HHD and first for reductions in deaths and DALYs due to high SBP. CONCLUSION: Over the past three decades, the burden of HHD in Australia has reduced, but its prevalence remains relatively high. The contribution of high SBP to deaths, DALYs and YLLs also reduced over the three decades.

Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices.

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, which can progress from simple steatosis to advanced cirrhosis and hepatocellular carcinoma. Clinical diagnosis of NAFLD is crucial in the early stages of the disease. The main aim of this study was to apply machine learning (ML) methods to identify significant classifiers of NAFLD using body composition and anthropometric variables. A cross-sectional study was carried out among 513 individuals aged 13 years old or above in Iran. Anthropometric and body composition measurements were performed manually using body composition analyzer InBody 270. Hepatic steatosis and fibrosis were determined using a Fibroscan. ML methods including k-Nearest Neighbor (kNN), Support Vector Machine (SVM), Radial Basis Function (RBF) SVM, Gaussian Process (GP), Random Forest (RF), Neural Network (NN), Adaboost and Naïve Bayes were examined for model performance and to identify anthropometric and body composition predictors of fatty liver disease. RF generated the most accurate model for fatty liver (presence of any stage), steatosis stages and fibrosis stages with 82%, 52% and 57% accuracy, respectively. Abdomen circumference, waist circumference, chest circumference, trunk fat and body mass index were among the most important variables contributing to fatty liver disease. ML-based prediction of NAFLD using anthropometric and body composition data can assist clinicians in decision making. ML-based systems provide opportunities for NAFLD screening and early diagnosis, especially in population-level and remote areas.

Systematic review and meta-analysis evaluating the effects electric bikes have on physiological parameters.

BACKGROUND: There is a universal need to increase the number of adults meeting physical activity (PA) recommendations to help improve health. In recent years, electrically assisted bicycles (e-bikes) have emerged as a promising method for supporting people to initiate and maintain physical activity levels. To the best of our knowledge, there have been no meta-analyses conducted to quantify the difference in physiological responses between e-cycling with electrical assistance, e-cycling without assistance, conventional cycling, and walking. METHODS: A systematic review and meta-analysis was conducted following PRISMA guidelines. We identified short-term e-bike studies, which utilized a crossover design comparing physiological outcomes when e-cycling with electrical assistance, e-cycling without electrical assistance, conventional cycling, or walking. Energy expenditure (EE), heart rate (HR), oxygen consumption (VO2 ), power output (PO), and metabolic equivalents (METs) outcomes were included within the meta-analysis. RESULTS: Fourteen studies met our inclusion criteria (N = 239). E-cycling with electrical assistance resulted in a lower energy expenditure (EE) [SMD = -0.46 (-0.98, 0.06), p = 0.08], heart rate (HR) [MD = -11.41 (-17.15, -5.68), p < 0.000, beats per minute], oxygen uptake (VO2 ) [SMD = -0.57 (-0.96, -0.17), p = 0.005], power output (PO) [MD = -31.19 (-47.19 to -15.18), p = 0.000, Watts], and metabolic equivalent (MET) response [MD = -0.83 (-1.52, -0.14), p = 0.02, METs], compared with conventional cycling. E-cycling with moderate electrical assistance resulted in a greater HR response [MD 10.38 (-1.48, 22.23) p = 0.09, beats per minute], and VO2 response [SMD 0.34 (-0.14, 0.82) p = 0.16] compared with walking. CONCLUSIONS: E-cycling was associated with increased physiological responses that can confer health benefits.

Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review.

BACKGROUND: Traditional psychological theories are inadequate to fully leverage the potential of smartphones and improve the effectiveness of physical activity (PA) and sedentary behavior (SB) change interventions. Future interventions need to consider dynamic models taken from other disciplines, such as engineering (eg, control systems). The extent to which such dynamic models have been incorporated in the development of interventions for PA and SB remains unclear. OBJECTIVE: This review aims to quantify the number of studies that have used dynamic models to develop smartphone-based interventions to promote PA and reduce SB, describe their features, and evaluate their effectiveness where possible. METHODS: Databases including PubMed, PsycINFO, IEEE Xplore, Cochrane, and Scopus were searched from inception to May 15, 2019, using terms related to mobile health, dynamic models, SB, and PA. The included studies involved the following: PA or SB interventions involving human adults; either developed or evaluated integrated psychological theory with dynamic theories; used smartphones for the intervention delivery; the interventions were adaptive or just-in-time adaptive; included randomized controlled trials (RCTs), pilot RCTs, quasi-experimental, and pre-post study designs; and were published from 2000 onward. Outcomes included general characteristics, dynamic models, theory or construct integration, and measured SB and PA behaviors. Data were synthesized narratively. There was limited scope for meta-analysis because of the variability in the study results. RESULTS: A total of 1087 publications were screened, with 11 publications describing 8 studies included in the review. All studies targeted PA; 4 also included SB. Social cognitive theory was the major psychological theory upon which the studies were based. Behavioral intervention technology, control systems, computational agent model, exploit-explore strategy, behavioral analytic algorithm, and dynamic decision network were the dynamic models used in the included studies. The effectiveness of quasi-experimental studies involved reduced SB (1 study; P=.08), increased light PA (1 study; P=.002), walking steps (2 studies; P=.06 and P<.001), walking time (1 study; P=.02), moderate-to-vigorous PA (2 studies; P=.08 and P=.81), and nonwalking exercise time (1 study; P=.31). RCT studies showed increased walking steps (1 study; P=.003) and walking time (1 study; P=.06). To measure activity, 5 studies used built-in smartphone sensors (ie, accelerometers), 3 of which used the phone's GPS, and 3 studies used wearable activity trackers. CONCLUSIONS: To our knowledge, this is the first systematic review to report on smartphone-based studies to reduce SB and promote PA with a focus on integrated dynamic models. These findings highlight the scarcity of dynamic model-based smartphone studies to reduce SB or promote PA. The limited number of studies that incorporate these models shows promising findings. Future research is required to assess the effectiveness of dynamic models in promoting PA and reducing SB. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO) CRD42020139350; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=139350.

Effect of Nigella sativa oil extract on cardiometabolic risk factors in type 2 diabetes: A randomized, double-blind, placebo-controlled clinical trial.

The objective of this study was to determine the effects of Nigella sativa oil extract on cardiometabolic risk factors in people with type 2 diabetes (T2D). A randomized, controlled, clinical trial was conducted on 43 patients with T2D (23 women and 20 men; aged 53.5 ± 7.4 years). The intervention group (N = 23) received two 500-mg per day soft gel capsules containing Nigella sativa oil extract and the control group (N = 20) received two identical placebo soft gel capsules containing sunflower oil per day for the same period, 8 weeks. Pre- and post-intervention cardiometabolic risk factors were measured. Compared with the placebo, the N. sativa oil significantly decreased FBS (p = .03(, HbA1c (p = .001), total cholesterol (p = .04), TG (p = .003), LDL-c (p = .001), BMI (p < .001), waist circumference (p < .001), SBP (p = .001), and DBP (p = .002). HOMA-IR (p = .51) and HDL-c (p = .91) did not change significantly following Nigella sativa supplementation. Nigella sativa oil exerted beneficial effects on glycemic control, serum lipid profile, blood pressure, and body weight among people with T2D. Further long-term trials in the future may help confirm the current therapeutic benefits of Nigella sativa in T2D.

Short-term effectiveness of a theory-based intervention to promote diabetes management behaviours among adults with type 2 diabetes in Iran: A randomised control trial.

BACKGROUND: Diet and physical activity are recommended for diabetes management. Evidence suggests theory-based interventions are more efficacious than non-theory approaches. This study aimed to test the short-term effectiveness of an integrated theoretical model-based intervention to encourage compliance for low-fat food consumption, carbohydrate counting and physical activity in adults with type 2 diabetes. METHODS: A 4-week parallel randomised control trial was conducted in Iran. Data were collected using a self-report questionnaire at baseline and 8-weeks post-intervention. This survey assessed the theory of planned behaviour (TPB) constructs of attitude, subjective norm (others' approval) and perceived behavioural control (PBC). We also assessed risk perceptions (motivational) and planning (volitional) from the health action process approach (HAPA). Furthermore, weight, body mass index, triglyceride (TG) and LDL-cholesterol were measured, with a sub-sample of participants providing haemoglobin A1c (HbA1c) assessments. RESULTS: For both low-fat food consumption and physical activity, only planning revealed a significant improvement over time for intervention rather than control participants (F = 8.78, P ≤ .001 for low-fat vs F = 11.26, P ≤ .001 for physical activity). For carbohydrate counting, significant effects were found for behaviour (F = 4.37, P = .03), intention (F = 8.14, P ≤ .001), PBC (F = 7.52, P ≤ .001) and planning (F = 4.54, P = .03), reflecting improvements over time in the intervention participants compared to controls. Furthermore, the effects of the intervention on behaviour were partially mediated via participants' degree of planning (B = 0.10, SE = 0.06, CI = 0.01 to 0.26). The serum TG level was significantly reduced from pre to post-intervention for intervention rather than for control participants (F = 18.69, P ≤ .001) as did Hb1Ac in a sub-sample of study participants. CONCLUSIONS: This intervention showed promising short-term effects for carbohydrate counting but did not show improvements for low-fat diet nor physical activity. Given the improvement in psychological measures and self-reported behaviour for carbohydrate counting, coupled with the findings for TG, future research is needed to demonstrate longer-term improvements.

The effectiveness of pistachio on glycemic control and insulin sensitivity in patients with type 2 diabetes, prediabetes and metabolic syndrome: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Pistachio nuts have been considered to improve dysglycemia. However, there are controversial results. This systematic review and meta-analysis carried out to evaluate the effects of pistachio nuts on glycemic control and insulin sensitivity in patients with type 2 diabetes mellitus (T2DM), prediabetes, and metabolic syndrome. METHODS: Medline/PubMed, ProQuest, Web of Knowledge, Scopus, Cochrane library, and ScienceDirect were systematically searched to find randomized controlled trials (RCTs). Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) checklist was used to conduct the study. RESULTS: Six RCTs were included in the review. Treatment with pistachio nuts exerted a significant reduction in fasting blood glucose (FBG) level (OR = 1.7, 95% CI; 1.2-2.4, P = 0.002, I2 = 0.0%, P = 0.731) and homeostasis model assessment of insulin resistance (HOMA-IR) index (OR = 1.5, 95% CI; 1.0-2.4, P = 0.043, I2 = 0.0%, P = 0.617), but no significant improvement was observed in regard to hemoglobin A1c (HbA1c) level (OR = 1.4, 95% CI; 0.9-2.1 P = 0.089, I2 = 0.0%, P = 0.957) and fasting plasma insulin (FPI) level (OR = 1.3, 95% CI; 0.9-1.9, P = 0.133, I2 = 0.0%, P = 0.776). CONCLUSIONS: Pistachio nuts might cause a significant reduction in FBG and HOMA-IR, although HbA1c and FPI might not significantly improve in patients suffering from or at risk of T2DM.

Multifactorial e- and mHealth interventions for cardiovascular disease primary prevention: Protocol for a systematic review and meta-analysis of randomised controlled trials.

OBJECTIVE: Cardiovascular diseases (CVD) are a leading cause of mortality and disease burden. Preventative interventions to augment the population-level adoption of health lifestyle behaviours that reduce CVD risk are a priority. Face-to-face interventions afford individualisation and are effective for improving health-related behaviours and outcomes, but they are costly and resource intensive. Electronic and mobile health (e- and mHealth) approaches aimed at modifying lifestyle risk factors may be an effective and scalable approach to reach many individuals while preserving individualisation. This systematic review aims to (a) determine the effectiveness of multifactorial e- and mHealth interventions on CVD risk and on lifestyle-related cardiometabolic risk factors and self-management behaviours among adults without CVD; and (b) describe the evidence on adverse events and on the cost-effectiveness of these interventions. METHODS: Methods were detailed prior to the start of the review in order to improve conduct and prevent inconsistent decision making throughout the review. This protocol was prepared following the PRISMA-P 2015 statement. MEDLINE, CINAHL, Embase, PsycINFO, Web of Science, Cochrane Public Health Group Specialised Register and CENTRAL electronic databases will be searched between 1991 and September 2019. Eligibility criteria are: (a) population: community-dwelling adults; (b) intervention/comparison: randomised controlled trials comparing e- or mHealth CVD risk preventative interventions with usual care; and (c) outcomes: modifiable CVD risk factors. Selection of study reports will involve two authors independently screening titles and abstracts, followed by a full-text review of potentially eligible reports. Two authors will independently undertake data extraction and assess risk of bias. Where appropriate, meta-analysis of outcome data will be performed. DISCUSSION: This protocol describes the pre-specified methods for a systematic review that will provide quantitative and narrative syntheses of current multifactorial e- and mHealth CVD preventative interventions. A systematic review and meta-analysis will be conducted following the methods outlined in the Cochrane Handbook for Systematic Reviews of Interventions and reported according to PRISMA guidelines.

Effects of pycnogenol on cardiometabolic health: A systematic review and meta-analysis of randomized controlled trials.

AIM: Clinical trials on the effect of pycnogenol supplementation on cardiometabolic health have been controversial. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to evaluate the potential effect of pycnogenol supplementation on cardiometabolic profile. METHODS: PubMed, Scopus, and ISI Web of Science databases were searched until October 2018. RCTs that evaluated the effects of pycnogenol on cardiometabolic parameters were included. DerSimonian and Laird random-effect models were used to compute the weighted mean differences (WMDs) and 95% confidence intervals (CIs). RESULTS: Twenty-four RCTs including 1594 participants were included in the meta-analysis. Pycnogenol significantly reduced fasting blood glucose (WMD: -5.86 mg/dl; 95% CI: -9.56, -2.15), glycated hemoglobin (WMD = -0.29%, 95%CI: -0.56, -0.01), systolic blood pressure (WMD: -2.54 mmhg; 95% CI: -4.08, -0.99), diastolic blood pressure (WMD: -1.76 mmhg; 95% CI: -3.12, -0.41), body mass index (WMD: -0.47 kg/m2; 95% CI: -0.90, -0.03), LDL cholesterol (WMD: -7.12 mg/dl; 95% CI: -13.66, -0.58) and increased HDL cholesterol (WMD: 3.27 mg/dl; 95% CI: 0.87, 5.66). CONCLUSION: This meta-analysis suggests that pycnogenol may have a role in preventing cardiometabolic disease. However, further well-designed RCTs are recommended to evaluate its long-term effects and explore the optimal duration of use and dosage.

Pre-pregnancy Body Mass Index and Maternal Nutrition in Relation to Infant Birth Size.

This cross-sectional study examined the relationship between maternal pre-pregnancy body mass index (BMI) and dietary intake on birth size in the north-east part of Iran. Maternal information including BMI and dietary intake from 453 healthy pregnant women were collected in 2013-2014. Maternal pre-pregnancy BMI were obtained from health records and dietary intakes in third trimester were collected by using a validated food frequency questionnaire (FFQ), which consisted of 160 Iranian foods. Anthropometric measurements of neonates including weight, height, and head circumference were 3.19 ± 0.49 kg, 50.24 ± 2.1 cm, and 34.61 ± 1.5 cm, respectively. A significant difference was found in neonatal birth weight (p < 0.001) and head circumference (p = 0.002) between underweight and obese mothers. Furthermore, maternal intake of fat had a direct correlation with birth size. There was a positive relationship between vitamin A and potassium intake and birth height. The article concludes that normal maternal pre-pregnancy weight and appropriate diet are likely essential for healthy babies.

Evaluation of informal payments to health care professionals and the influential factors in Urmia city hospitals, Iran.

Informal payments refer to sums that patients may pay to individual or organizational health care providers outside of the official payment channels or approved fee schedules. The aim of the current research was to investigate informal payments and related influential factors in Urmia city hospitals. The present study was a cross-sectional survey conducted among post-discharged patients from all Urmia city hospitals during one Iranian calendar month (January 21 to March 19, 2013). Simple random sampling was used to recruit 265 patients to undergo assessment via phone call interviews and complete a questionnaire. Data analysis was performed using SPSS software for descriptive reports, and EViews software for determination of factors affecting informal payments. Eleven percent of the patients had made informal payments to physicians (mean amount: 503,000 Tomans, equivalent of $412), 5% to nurses (mean amount: 20,000 Tomans, equivalent of $16), and 17% to other employees (mean amount: 16,000 Tomans, equivalent of $13). Hospital ownership, patients' place of residence, education and income significantly influenced the payments. Most substantially, patients receiving surgical care were 100 times more likely to make informal payments compared to those who had received non-surgical inpatient care. The present study showed that although informal payment is illegal in Iran, it is a common practice among hospitalized patients, and has now become a challenge for the health system. Considering the high prevalence of informal payments and their severe impacts on equity and justice, policymakers have focused on this phenomenon to reduce and eliminate it.

A systematic review of empirical studies on methodology and burden of informal patient payments in health systems.

INTRODUCTION: Informal patients' payments (IPPs) is a sensitive subject. The aim of current study was to assess the trends in informal payment studies and explore methods of IPPs measurement, prevalence, and features (payment type, volume, and receiver) in various contexts. METHODS: A search strategy was developed to identify peer-reviewed articles addressing informal payments on PubMed, Science Direct, Web of Science, Scopus, and CINAHL. A total of 1252 studies were identified initially. After screening process, 38 studies were included in the systematic review. The selected studies were appraised, and findings were synthesized. RESULT: Among selected studies, quantitative approaches were mostly used for measuring IPPs from general public and patients' perspective, and qualitative methods mainly targeted health care providers. Reported IPP prevalence in selected articles ranges between 2% and 80%, more prevalent in the inpatient sector than in outpatient. CONCLUSION: There are a number of strategies for the measurement of IPPs with different strengths and weaknesses. Most applied strategies for general public were quantitative surveys recruiting more than 1000 participants using a face-to-face structured interview, and then qualitative studies on less than 150 health care providers, with focus group discussion. This review provides a comprehensive picture of current informal patients' payments measurement tools, which helps researchers in future investigations.

Nigella sativa improves glucose homeostasis and serum lipids in type 2 diabetes: A systematic review and meta-analysis.

BACKGROUND & OBJECTIVE(S): Global prevalence of type 2 diabetes (T2D) is very high and is currently growing alarmingly. With respect to recent researchers' attention to the potential role of herbal medicine in disease prevention and management, the present meta-analysis review investigates the effectiveness of Nigella sativa (N. sativa), a popular herb, in T2D. METHODS: Literature search was conducted covering PubMed/Medline, Scopus, and Cochrane Registry of Clinical Trials up to February 2017 to obtain the relevant published intervention studies. Study selection, quality rating and data extraction of studies were investigated by two independent reviewers. Heterogeneity was assessed using I-squared (I2) statistics test. Subgroup analysis was done to assess type of N. sativa supplement as source of heterogeneity. Effect sizes of eligible studies were pooled using STATA software version 12 (STATA corp, College Station, TX, USA). RESULTS: Seven trials were included in the meta-analysis of glycemic and serum lipid profile end points. Supplementation with N. sativa significantly improved fasting blood sugar (FBS) [-17.84mg/dl, 95% CI: -21.19 to -14.49, p<0.001], HbA1c [-0.71%, 95% CI: -1.04 to -0.39, p<0.001], total-cholesterol (TC) [WMD: -22.99mg/dl, 95% CI: -32.16 to -13.83, p<0.001] and LDL-cholesterol (LDL-c) [-22.38mg/dl, 95% CI: -33.60 to -11.15, p<0.001]. The overall effects for triglyceride (TG) [-6.80mg/dl, 95% CI: -33.59 to 19.99, p=0.61] and HDL-cholesterol (HDL-c) [0.37mg/dl, 95% CI: -1.59 to 2.33, p=0.71] were insignificant. Subgroup analysis revealed significant reduction on TG with N. sativa seed oil [-14.8mg/dl, 95% CI: -23.1 to -6.5, p<0.001], while TG was increased with seed powder [29.4mg/dl, 95% CI: 16.9-42.0, p<0.001]. All measures, but HbA1c, showed no evidence of publication bias. CONCLUSION: Although, the meta-analysis conducted included a few number of studies, but has shown promising results on the effectiveness of N. sativa on glucose homeostasis and serum lipids. Current findings suggest N. sativa supplementation a suitable choice in managing the complications of T2D, although future researches are necessary.