Literature DB >> 34619991

Effect of Religious Fasting in Ramadan on Blood Pressure: Results From LORANS (London Ramadan Study) and a Meta-Analysis.

Rami Al-Jafar1, Maria Zografou Themeli2, Sadia Zaman3, Sharmin Akbar4, Victor Lhoste1, Ahlam Khamliche1, Paul Elliott1,5,6, Konstantinos K Tsilidis1,7, Abbas Dehghan1,5,8.   

Abstract

Background Ramadan fasting is practiced by hundreds of millions every year. This ritual practice changes diet and lifestyle dramatically; thus, the effect of Ramadan fasting on blood pressure must be determined. Methods and Results LORANS (London Ramadan Study) is an observational study, systematic review, and meta-analysis. In LORANS, we measured systolic blood pressure (SBP) and diastolic blood pressure (DBP) of 85 participants before and right after Ramadan. In the systematic review, studies were retrieved from PubMed, Embase, and Scopus from inception to March 3, 2020. We meta-analyzed the effect from these studies and unpublished data from LORANS. We included observational studies that measured SBP and/or DBP before Ramadan and during the last 2 weeks of Ramadan or the first 2 weeks of the month after. Data appraisal and extraction were conducted by at least 2 reviewers in parallel. We pooled SBP and DBP using a random-effects model. The systematic review is registered with PROSPERO (International Prospective Register of Systematic Reviews; CRD42019159477). In LORANS, 85 participants were recruited; mean age was 45.6±15.9 years, and 52.9% (n=45) of participants were men. SBP and DBP after Ramadan fasting were lower by 7.29 mm Hg (-4.74 to -9.84) and 3.42 mm Hg (-1.73 to -5.09), even after adjustment for potential confounders. We identified 2778 studies of which 33 with 3213 participants were included. SBP and DBP after/before Ramadan were lower by 3.19 mm Hg (-4.43 to -1.96, I2=48%) and 2.26 mm Hg (-3.19 to -1.34, I2=66%), respectively. In subgroup analyses, lower blood pressures were observed in the groups who are healthy or have hypertension or diabetes but not in patients with chronic kidney disease. Conclusions Our study suggests beneficial effects of Ramadan fasting on blood pressure independent of changes in weight, total body water, and fat mass and supports recommendations for some governmental guidelines that describe Ramadan fasting as a safe religious practice with respect to blood pressure.

Entities:  

Keywords:  Ramadan fasting; diastolic blood pressure; hypertension; meta‐analysis; systematic review; systolic blood pressure

Mesh:

Year:  2021        PMID: 34619991      PMCID: PMC8751902          DOI: 10.1161/JAHA.120.021560

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


London Ramadan Study

Clinical Perspective

What Is New?

Ramadan fasting is associated with a reduction of systolic blood pressure and diastolic blood pressure in individuals who are healthy or have hypertension or diabetes (this effect is independent of weight and total body water reduction).

What Are the Clinical Implications?

This study provides updated evidence‐based information for clinicians and policy makers that Ramadan fasting may have beneficial effects on blood pressure. Ramadan is the ninth month of the Islamic calendar and lasts 29 or 30 days based on the visibility of the crescent moon. Fasting in this month is 1 of the 5 pillars of Islam and Muslims observe it every year. Ramadan fasting is classified as a model of intermittent fasting. However, the conventional models of intermittent fasting allow drinking noncaloric beverages (ie, water, tea, and black coffee) during fasting periods. In Ramadan, however, Muslims abstain from eating, drinking, smoking, sexual intercourse, and medication during daylight hours. Usually, Muslims have 2 basic meals during Ramadan, one is predawn (Suhur), and the other is after sunset (Iftar). This dietary change is the key change in their lifestyle; however, the changes are not limited to that and lifestyles may be modified dramatically during this month. This lifestyle modification could have acute as well as long‐term consequences for health. Although hundreds of millions of Muslims practice Ramadan fasting worldwide, the effect of this ritual on health is not adequately studied. Blood pressure could be acutely affected by such changes in dietary intake and timing, physical activity, and sleep patterns including among individuals with hypertension. Studies on the effect of Ramadan fasting on blood pressure, however, are inconclusive. Although several studies have shown reductions in systolic (SBP) and diastolic blood pressure (DBP), , , , , others have reported an increase , or no changes in blood pressure. , , , , The available studies are limited in number and sample size and suffer from suboptimal sampling methods. For instance, many of the previous studies recruited samples such as students, workers, and patients with chronic disease who have regular visits to clinics, which may not represent the whole community. Therefore, we conducted the LORANS (London Ramadan Study) in which we collected data from participants in London to assess the effect of Ramadan fasting on blood pressure using a comprehensive data analysis. We recruited a multicultural community‐based sample and measured SBP and DBP pressure before and after Ramadan. So far, 6 systematic reviews assessed the effect of Ramadan fasting on blood pressure. , , , , , They are either outdated (2013) or not comprehensive. Two of these reviews performed a meta‐analysis; however, one was only on patients with chronic kidney disease (CKD), and the other was on healthy individuals and did not pool DBP. Because of the inconsistency in prior studies, we undertook a systematic review and meta‐analysis on the effect of Ramadan fasting on blood pressure.

METHODS

The data that support the findings of this study are available from the corresponding author upon reasonable request.

London Ramadan Study

LORANS is a longitudinal study that recruited individuals who were fasting in Ramadan 2019 in London. We initially contacted 6 large mosques to be recruitment locations; 1 of the 6 mosques was unable to provide us with an agreement letter on time (before applications submission deadline to seek ethical approval), so it was not involved in the study. We invited people to participate via banners and flyers in the 5 mosques in London (2 in North West London, 1 in East London, 1 in Central London, and 1 in South London). We launched a website for the study to enable potential participants to know more about it and book appointments. Inclusion criteria were being over 18 years old and planning to fast ≥20 days of Ramadan. Exclusion criteria were pregnancy and not being available for the second visit after Ramadan. We set up a clinic for sampling in each of the 5 mosques. We enrolled 146 individuals who attended the pre‐Ramadan visit, of whom 85 (58.2%) participants attended the second visit (during the second week after Ramadan). Table S1 compares characteristics of LORANS participants (n=85) to those of individuals who attended the first visit only (n=61); those not attending were younger age and none of them was a daily smoker. The main reasons for not attending the second visit were traveling and missing contact details (Figure S1). The study was conducted in Spring (April 25–June 16, 2019), and the fasting duration was 15.5 hours/day. A review on methods of measuring blood pressure reported that the best scenario for measuring blood pressure should be 2 or 3 measurements with an interval between consecutive readings between 30 and 60 seconds. Therefore, we measured blood pressure using an automatic blood pressure monitor (Omron 705‐IT) 3 times with 30‐second intervals while participants were sitting before blood extraction and calculated the average of the 3 measurements. We also measured height using a stadiometer (Leicester Height Measure) and weight (Marsden digital weighing scale) without heavy outer clothes or shoes; we measured waist circumference (just above the hip bones) and hip circumference (at widest part) using a tape measure with participant standing and took the average of 2 measures at each visit (participants were not fasting at both visits). Fat percentage, fat mass, fat‐free mass, and total body water (TBW) were measured by a bioelectrical impedance analyser (Tanita BC‐418) as well as fat percentage, fat mass, fat‐free mass, and predicted muscle for each limb. Participants filled out questionnaires about their lifestyle, socioeconomic and demographic data, health status and medical history, and a 3‐day food diary before Ramadan and during Ramadan to assess change in diet. All participants provided informed consent. The study is ethically approved by the Imperial College Research Ethics Committee (reference: 19IC5138, dated April 17, 2019).

Systematic Review

We followed the Preferred Reporting Items for Systematic Reviews and Meta‐analyses guidelines in structuring this systematic review (Table S2). We registered the study protocol with PROSPERO (International Prospective Register of Systematic Reviews; CRD42019159477).

Eligibility Criteria

We aimed to include published and unpublished studies that measured SBP and/or DBP twice. The first measurement had to be before Ramadan and the second measurement either during the last 2 weeks of Ramadan or the first 2 weeks of the month after (Shawaal). Also, means and SDs of SBP and DBP were needed. We excluded review articles, studies that introduced interventions (eg, exercise), and abstracts not associated with full texts.

Information Sources, Search, and Study Selection

We searched PubMed, Scopus, and Embase to locate all related published studies in all languages from inception until March 3, 2020. We used the following search terms “(Ramadhan OR Ramazan OR Ramadan OR (Islam* AND fast*)) AND (diastolic OR systolic OR hypertens* OR blood pressure OR cardiovasc* OR health).” We also contacted authors of related conference abstracts retrieved from the electronic databases to check if they had a full text. Titles and abstracts of all retrieved studies were screened. At the next phase, full texts of eligible studies were evaluated against the inclusion/exclusion criteria to identify the final included studies. All these steps were conducted independently by at least 2 reviewers (R. A., S. A., S. Z.) in parallel; any disagreement was adjudicated by consensus.

Data Collection Process

At least 2 independent authors (R. A., V. L., M. Z. T.) used a data extraction master sheet to extract the following information from the included articles: authors(s), year, journal, country, ethnicity, study site, type of blood pressure monitor, number and time of visits for measurements, number of subjects, age, population characteristics, duration of daytime (hours of fasting), and SBP and DBP measurements. Disagreements were resolved by consensus.

Risk of Bias

We adapted the Newcastle‐Ottawa Quality Assessment Scale for cohort studies to evaluate the quality of selected studies in this review. Given that the selected studies in our review are not cohort studies, we needed to reframe questions on exposed and nonexposed subjects with maintaining the aim of these questions. Also, based on the characteristics of selected studies, we decided on which answers should contribute to a higher evaluation (eg, studies that recruited >100 participants were considered large studies). The scale (Data S1) covers 3 areas: selection, comparability, and outcome assessment. Studies with a quality score of 4 or less are considered low quality, a quality score of 5 to 6 is considered satisfactory, a quality score of 7 to 8 is considered good, and a quality score of 9 to 10 is considered very good. This rating process was undertaken by at least 2 independent reviewers (R. A., V. L., M. Z.) in parallel and any disagreement was adjudicated by consensus; more details are provided in Table S3.

Estimation of Daytime Temperature and Duration of Fasting Per Day

We used the Islamic Finder website to match the Islamic calendar to the Gregorian calendar to know when Ramadan started in different years. Moreover, using the same site, we assessed the duration of fasting per day by calculating the average of the period between the sunrise prayer (Fajr) and sunset prayer (Maghrib) in the first day and that of the last day of Ramadan. Furthermore, to estimate daytime temperature to which participants of a particular study were exposed, we used a website that has records of past weather conditions back to September 2009 (no weather data available for older studies). We used the highest temperature during the month of Ramadan as a proxy for daytime temperature in 29 studies (Table S4).

Statistical Analysis

London Ramadan Study

We used a linear mixed‐effects model in the “lme4” package (version 1.1‐21) in R to investigate the effect of Ramadan fasting on SBP and DBP accounting for potential confounders. We added potential confounders to the model either as fixed or random effect variables. Fixed variables are those we need to observe their effect on the model: age, sex, smoking status, weight, TBW, and fat mass. Random variables are those we need to ensure that they do not introduce random effects on the model: site of data collection and time gap between end of Ramadan and the second measurement. We constructed 4 models, adjusting for (1) age, sex, site, and time gap between end of Ramadan and the second measurement; (2) further adjusted for smoking status; (3) further adjusted for weight; and (4) adjusted for the variables in (2) plus TBW and fat mass. Weight was not added to the fourth model owing to potential collinearity. Furthermore, Table S5 shows further adjustments for sleep duration and energy intake. Because of the limited number of predictive variables, we have followed a complete case analysis strategy. SBP and DBP before and after Ramadan are presented as mean±SD; results of the mixed‐effects models are reported in the form of a mean difference and 95% CI. P value of <0.05 is considered statistically significant.

Meta‐Analysis, Metaregression, and Sensitivity Analysis

We used “meta” package (version 4.11‐0) in R to perform the meta‐analysis and metaregression. We used the difference in means and 95% CIs to estimate the effect of Ramadan fasting on SBP and DBP, and a P value of <0.05 was considered statistically significant. We assessed between‐study heterogeneity using I2 and pooled outcomes using an inverse variance weighted random‐effects model. We conducted subgroup analyses among healthy individuals, patients with diabetes (type 2), patients with hypertension, and patients with CKD based only on 3 studies or more. We used the “meta” package to conduct univariate metaregression to investigate associations of potential effect modifiers (temperature during Ramadan, duration of daily fasting, mean age, and dropout rate) and the effect of Ramadan fasting on the mean differences of SBP and DBP. We report results of metaregression in the form of β‐coefficient and P value. To assess the risk of small‐study effects bias across studies, we checked the funnel plots and performed Egger's regression asymmetry test. If the Egger's test P value was <0.1 and/or the plot was considered asymmetric, we used the trim and fill method to correct for asymmetry and estimated the effect while adjusting for small‐study effects bias. All data were analyzed in R for Windows 3.6.1.

RESULTS

Baseline characteristics of LORANS' participants are shown in Table 1. Mean age was 45.6±15.9 years, with 52.9% (n=45) men. Using the base model, SBP and DBP were lower after Ramadan fasting by 7.29 mm Hg (−4.74 to −9.84) and 3.42 mm Hg (−1.73 to −5.09), respectively, with findings robust to adjustments for potential confounding variables (Table 2, Figures S2 and S3).
Table 1

Sociodemographic and Lifestyle Status of LORANS' Participants (n=85)

VariableSubgroupsValue
Age, y, mean±SDTotal45.6±15.9
18–40 (%)31.8%
40–60 (%)49.4%
60–80 (%)17.6%
>80 (%)1.2%
Sex (male %)52.9%
Ethnic background, %Pakistani16.5%
Indian26.6%
Bangladeshi8.9%
Somali16.5%
Arab16.5%
Other15.2%
Marital status, %Single22.8%
Married/living with a partner73.4%
Divorced/separated3.8%
With chronic diseases, %Diabetes14%
Hypertension24%
Cardiovascular diseases5.2%
Education, %No formal qualification12.7%
Secondary school or equivalent25.3%
Higher education: College/Higher National Certificate/Higher National Diploma21.5%
Vocational qualification1.3%
Bachelor's degree26.6%
Postgraduate degree12.7%
Smoking, %Never77.6%
Stopped14.1%
Occasionally3.5%
Yes, most or all days4.7%

LORANS indicates London Ramadan Study.

Table 2

Systolic Blood Pressure and Diastolic Blood Pressure Before and After Ramadan Fasting and the Mean Difference Using Different Mixed‐Effects Models in LORANS

Before Ramadan (mean±SD)After Ramadan (mean±SD)Mean difference (95% CI)
Base modelSecond modelThird modelFourth model
Systolic blood pressure132.2±20.1124.9±17.5−7.29 (−4.74 to −9.84)* −7.29 (−4.74 to −9.84)* −7.22 (−4.67 to −9.85)* −7.34 (−4.63 to −10.10)*
Diastolic blood pressure77.4±9.774±9.2−3.42 (−1.73 to −5.09)* −3.42 (−1.73 to −5.09)* −3.17 (−1.48 to −4.87)* −3.00 (−1.19 to −4.83)*

Base model adjusts for age, sex, site, and second measurement day. Second model adjusts for base model variables and smoking status. Third model adjusts for second model variables and weight. Fourth model adjusts for second model variables, total body water, and fat mass. LORANS indicates London Ramadan Study.

P<0.001.

Sociodemographic and Lifestyle Status of LORANS' Participants (n=85) LORANS indicates London Ramadan Study. Systolic Blood Pressure and Diastolic Blood Pressure Before and After Ramadan Fasting and the Mean Difference Using Different Mixed‐Effects Models in LORANS Base model adjusts for age, sex, site, and second measurement day. Second model adjusts for base model variables and smoking status. Third model adjusts for second model variables and weight. Fourth model adjusts for second model variables, total body water, and fat mass. LORANS indicates London Ramadan Study. P<0.001.

Search Results

We screened a total of 2778 titles/abstracts and removed 831 duplicates and excluded 1895 studies as ineligible, leaving 52 full texts of potential studies. We excluded 17 studies that involved interventions besides Ramadan fasting (eg, exercise programs), 11 studies judged to be low quality (with a high risk of bias; average quality score=3.9), and 7 further studies that included patients with specific conditions (eg, transplant kidney recipients). That left 33 studies (including LORANS) for the meta‐analysis with a total of 3213 individuals (Figure 1).
Figure 1

Flow chart of studies included in this systematic review.

LORANS indicates London Ramadan Study.

Flow chart of studies included in this systematic review.

LORANS indicates London Ramadan Study.

Study Characteristics

The characteristics of the included studies are displayed in Table 3. Out of the 33 studies, 7 (13.2%; 423 of the participants) were done in Iran, 3 (4.5%; 144) in Pakistan, and 3 (3.5%; 113) in Turkey. Included studies targeted 4 groups of individuals: healthy individuals (23.3%; 749), patients with type 2 diabetes (55.5%; 1783), patients with hypertension (3.5%; 114), and those with CKD (19.1%; 614). The included studies measured blood pressure by different devices (Table 3); only 2 of them used 24‐hour ambulatory blood pressure monitoring. , Table S3 shows the quality assessment and risk of bias in all potential studies. Eight of the included studies had high quality with low risk of bias (good), and 24 were moderate quality with moderate bias (moderate).
Table 3

Characteristics of Included Studies

Author(s) and yearCountrynAge, yMen (%)Dropout %BP deviceSBP before RamadanSBP right after RamadanEffect on SBP ↕DBP before RamadanDBP right after RamadanEffect on DBP ↕
Ongsara et al (2017) 31 Thailand65NMNM6Automatic monitor113.5±16.9113.7±17.673±13.672.3±12.4
Dewanti et al (2006) 6 Indonesia7539±1010019.4NM129.4±29.7120.5±25.584.5±14.375±10.3
Khan et al (2017) 29 Pakistan3521.7±0.751.40NM113.1±10.5113.6±9.574.7±7.175.9±6.9
Faris et al (2012) 51 Jordan50NM42NMMercury sphygmomanometer112.3±10104.4±976.2±8.571.6±10.4
Malekmakan et al (2017) 52 Iran9337.2±7.952.7NMAneroid sphygmomanometer101.7±12.999.4±12.772.3±4.970.9±5.3
Gupta et al (2013) 13 India98NM1000NM121.9±10.5121.2±8.976.9±7.676.65±6.7
Shehab et al (2012) 32 UAE60NMNM36.3Mercury sphygmomanometer122.2±19.1118.6±17.875.3±14.175.3±14.1
Norouzy et al (2017) 27 Iran1256.4±6.844.4NM24 h BP monitor119.5±6117.6±978.5±877.7±10
Sijavandi et al (2015) 33 Iran8935±NM57.311Digital sphygmomanometer116.4±11.1115.5±10.180.5±5.679.3±8.2
Beltaifa et al (2002) 30 Tunisia2043±1460NMNM110±10110±1070±1065±5
Martin et al (2004) 34 Spain17NM1000NM108.5±8.3102.9±10.568.8±9.860.9±6.4
Alsubheen et al (2017) 35 Canada932.3±7.81000Sphygmomanometer120±11109±1277±771±7
Mohammadzade et al (2017) 36 Iran3029.4±7.4100NMNM124.7±4121.6±680.3±879.2±8
Dasgupta (2017) 5 Bengal3432.2±10.541.221NM114.9±15.3107.8±15.474.2±9.669.1±8.9
Salahddin et al (2014) 37 India1544.6±5.6NMNMAutomatic monitor148±19.6132.5±17.990.4±7.881.1±6.3
Perk et al (2001) 28 NM1756.6±6.988.2NM24 h BP monitor138.5±18.5136.4±20.477.2±8.175.7±5.9
Al‐Nasir & Niazi (1996) 38 NM28NM42.90Mercury sphygmomanometer146.5±24.9140.7±28.681.5±9.377.9±9.6
Gholami et al (2018) 39 Iran54NMNM10NM122.4±16.2117.9±21.480.2±13.379.8±13.7
Shao et al (2018) 40 Singapore6252.2±11.154.4NMNM140.1±19.1130.9±280.5±9.676.9±7.4
Sahin et al (2013) 41 NM8856.9±9.632.8NMNM140±20.9140±2081.5±12.779.6±10.2
Norouzy et al (2012) 42 Iran8851.3±10.651.115Automatic monitor130±15129±1577±1079±11
Khan et al (2012) 43 Pakistan7552.8±8.550.658.1NM124.3±17.4119.9±12.582.2±8.879.3±9.2
Bener & Yousafzai (2014) 4 Qatar130145.9±15.351.90Mercury sphygmomanometer130.6±14.3125.8±14.281.4±9.377.6±8.9
Yarahmadi et al (2003) 44 Iran57NMNMNMNM124.5±26.4119.9±2282.2±12.878.2±11.7
Traore et al (2014) 10 Mali2548.5±6.85631Sphygmomanometer123±12136±2183±1086±9
Imtiaz et al (2016) 45 Pakistan3447.7±14.664.7NMNM143.5±21141.4±22.583.3±13.279.4±10.9
Alshamsi et al (2016) 46 Saudi Arabia40753.3±16.252NMNM141.7±23.9143.2±23.973.1±15.375.1±16.4
Wan et al (2014) 47 Malaysia35NMNMNMNM148±19149±1778±979±9
Al‐Wakeel (2014) 48 Saudi Arabia3952.1±18.323NMNM133.7±18.4133.9±21.476.9±1476.2±14.3
Bernieh et al (2010) 49 UAE31NMNM31.1NM138±13.2131±26.381.3±980±10
Kara et al (2017) 50 Turkey4566.8±10.368.8NMNM147.5±27.5146.8±28.187±14.586.4±14.4
Ekinic et al (2018) 53 Turkey2345.6±10.616.14.2Automatic monitor131.5±16.5127.7±14.874.5±6.373.1±5.8
LORANS (2019)UK8545.4±1652.941.4Automatic monitor130.7±23124.9±17.577.4±9.774±9.2

BP indicates blood pressure; LORANS London Ramadan Study; NM, not mentioned; and SBP, systolic blood pressure.

Characteristics of Included Studies BP indicates blood pressure; LORANS London Ramadan Study; NM, not mentioned; and SBP, systolic blood pressure.

Effect on Blood Pressure

Most studies showed lower SBP and DBP in the last 2 weeks of Ramadan or the first 2 weeks of Shawaal. Across all studies, SBP was lower by 3.19 mm Hg (95% CI, −4.43 to −1.96, I2=48%) (Figure 2) and DBP by 2.26 mm Hg (95% CI, −3.19 to −1.34, I2=66%) (Figure 3).
Figure 2

Random effects meta‐analysis of Ramadan fasting on systolic blood pressure.

LORANS indicates London Ramadan Study; MD, mean difference; and SBP, systolic blood pressure.

Figure 3

Random effects meta‐analysis of Ramadan fasting on diastolic blood pressure.

DBP, diastolic blood pressure; LORANS, London Ramadan Study; and MD, mean difference.

Random effects meta‐analysis of Ramadan fasting on systolic blood pressure.

LORANS indicates London Ramadan Study; MD, mean difference; and SBP, systolic blood pressure.

Random effects meta‐analysis of Ramadan fasting on diastolic blood pressure.

DBP, diastolic blood pressure; LORANS, London Ramadan Study; and MD, mean difference.

Subgroup Analyses

Only 4 groups had a sufficient number (3 or more) of relevant studies for meta‐analysis: healthy individuals, , , , , , , , , , , , , , patients with hypertension, , , , patients with diabetes, , , , , , , , , and patients with CKD. , , , , , , Studies that included different types of participants were divided into subsets and each subset was added as an independent study to the relevant group. LORANS has 3 subsets (healthy, diabetes, and hypertension), Al‐Nasir and Niazi's study has 2 subsets (diabetes and hypertension), and Norouzy et al's study has 2 subsets (healthy and hypertension). Conducting meta‐analysis on the 4 groups of study participants yielded different pooled effect estimates of Ramadan fasting on blood pressure. Subgroup analysis shows that Ramadan fasting was associated with lower BP among healthy individuals: SBP −3.21 mm Hg (−4.79 to −1.64, I2=44%) and DBP −2.82 mm Hg (−4.34 to −1.30, I2=70%); ndividuals with hypertension: SBP −8.44 mm Hg (−15.16 to −1.72, I2=0%) and DBP −4.52 mm Hg (−7.75 to −1.28, I2=24%); and individuals with diabetes: SBP −3.53 mm Hg (−6.14 to −0.93, I2=61%) and DBP −2.13 mm Hg (−3.59 to −0.67, I2=61%). There was no difference in patients with CKD (Figures 2 and 3).

Small‐Study Effects Bias

Funnel plots did not indicate any asymmetry in the overall analysis. Also, the Egger's test showed no bias. However, there was an indication of bias from funnel plots and Egger's test P value in 2 of the 4 subgroups (Figure S4). We used the trim and fill method to correct for asymmetry among the subgroup of individuals with diabetes for DBP (Egger's test P=0.05), and the subgroup of patients with CKD for SBP (Egger's test P=0.07) and DBP (Egger's test P=0.05). The magnitude and the direction of effect were the same in these subgroups before and after using the trim and fill method (Table S6).

Metaregression

Daytime temperature during Ramadan was associated with a larger mean difference in SBP (β=0.34 mm Hg/°C, 0.06–0.63) and DBP (β=0.19 mm Hg/°C, 0.05–0.33) before‐after Ramadan (Figures S5 and S6). There was no association between the duration of fasting per day and the mean difference in SBP or DBP (Figures S7 and S8). Similarly, there was no association between mean age or dropout rate and the changes in SBP and DBP (Figures S9 through S12).

Discussion

LORANS showed that Ramadan fasting is associated with reduced SBP and DBP independently of weight, TBW, and fat mass. Similarly, our meta‐analysis of 33 studies with 3213 participants including LORANS, found that Ramadan fasting was associated with lower SBP and DBP. However, subgroups analysis showed that this reduction is absent in patients with CKD. So far, 6 systematic reviews investigated the effect of Ramadan fasting on blood pressure. The previous 6 systematic reviews included 44 studies that were considered and evaluated against our inclusion criteria in this review. Out of these studies, 18 studies were included: 8 were excluded owing to low quality. , , , , , , , and 4 were excluded because BP was measured more than 2 weeks after Ramadan. , , ,

Agreement With Studies of Intermittent Fasting

Although there are differences between Ramadan fasting and the common types of intermittent fasting, our findings are consistent with results of previous studies on intermittent fasting. Two studies reported that alternate day fasting is associated with lower SBP and DBP. , Also, another randomized trial that allocated participants to 2 fasting groups (intermittent energy restriction and continuous energy restriction) showed the same effects on SBP and DBP in both groups.

Effects of Weight Loss and Underlying Mechanisms

Lower blood pressure with fasting has been attributed to the metabolic switch (in which the body switches to use ketones for energy instead of glucose after 8–12 hours of fasting) in a recent review on intermittent fasting. Insulin drop during the metabolic switch is suggested to be the key reason behind reduced blood pressure after fasting. , , , , Blood pressure is inversely correlated with parasympathetic nervous system activity and correlated with sympathetic nervous system activity; when the sympathetic nervous system activity is triggered by insulin, adrenal glands produce norepinephrine, which binds to α‐receptors in the blood vessels; consequently, vasoconstriction occurs. , , , Also, insulin acts downstream and enhances renal tubular sodium reabsorption, which confers more water retained in the circulation; as a result, blood pressure is raised. , Other human and animal studies associate this reduction to the release of brain‐derived neurotrophic factor, which elevates parasympathetic nervous system activity and improves insulin sensitivity. , , This mechanism may explain the increase in SBP in 1 of the included studies, because the authors reported that 6 participants out of the 25 (24%) stopped their antidiabetic medications during Ramadan. Also, 3 participants (12%) in the same study stopped their antihypertensive medication, and only 4 participants (16%) visited their general practitioners during Ramadan. On the other hand, Faris et al argued that blood pressure changes during and after Ramadan fasting are most likely weight‐dependent. However, in LORANS, blood pressure change was independent of weight, TBW, and fat mass. Similarly, Sutton et al suggested that BP reduction is not a result of weight loss in a study on intermittent fasting. Some authors have reported that blood pressure after Ramadan fasting returns to pre‐Ramadan values. , , Also, a return to baseline values was noted after intermittent fasting in an animal study. However, 2 studies indicated larger reduction 1 and 3 months after Ramadan fasting. In terms of temporality, only 1 study measured SBP and DBP in 3 different time points in Ramadan to observe when BP lowering may begin. A decline in BP was noticed after the first week of fasting. In an animal study that compared the benefits of intermittent fasting to that of caloric restriction (40% of kcals reduced), the 2 approaches were associated with reduced heart rate, SBP, and DBP during the second or third week with maximum drop in these variables by either the fourth or fifth week.

Heterogeneity

We observed heterogeneity ranging from low to substantial levels across subgroups and overall. This heterogeneity was anticipated as the included studies were conducted in at least 18 different countries. Inevitably, this implies that the intervention (Ramadan fasting) was not the same in all studies because some crucial factors, which could influence the effect of Ramadan fasting on blood pressure, may vary from study to study. The duration of daytime (fasting hours) varies according to the latitude of the geographical location. , In addition, the average temperature during the day could vary depending on the geographical placement of the city or the season. Also, as the Islamic (lunar) calendar is 10 days less than the Gregorian (solar) calendar; thus, Ramadan rotates across the 4 seasons. Culture is another factor that may substantially influence individuals' lifestyle change during Ramadan, including dietary intake and physical activity. Also, some countries reduce working hours during Ramadan, which in turn reflects on the lifestyle of the whole population. Furthermore, the difference in fasting hours is another factor that may contributed to the observed heterogeneity. A study on prediabetic individuals revealed that intermittent fasting with 18 fasting hours brings a larger reduction in SBP, DBP, and insulin levels compared with only 12 fasting hours.

Clinical Implication

Our study shows that Ramadan fasting is associated with lower blood pressure in healthy people and individuals with hypertension and diabetes regardless of their weight change during Ramadan. Treatment for these conditions needs to be kept under review during Ramadan. However, we did not find any change in blood pressure in patients with CKD, although this needs further investigation in larger sample sizes. Our results are in agreement with recommendations by Communities in Action organization (supported by the National Health Service) and the Saudi hypertension guidelines, which describe Ramadan fasting as a safe religious practice with respect to blood pressure. ,

Strengths and Limitations

This systematic review had some methodological strengths. It is the most comprehensive review on the effect of Ramadan fasting on blood pressure and incorporated quality assessment of studies in its inclusion and exclusion criteria. Although there were some previous reviews on this topic, each of them targeted studies on either healthy individuals or a specific disease group. Our meta‐analysis covered studies on healthy and nonhealthy individuals and included subgroup analysis. We included our own study (LORANS) in which we recruited a multicultural community‐based sample. There are also limitations. Not all of the included studies had comprehensive data analysis. However, conducting LORANS enabled us to demonstrate that the reductions in SBP and DBP are independent of changes in weight, TBW, fat mass, and smoking status. The dropout rate that we reported in LORANS should be acknowledged as another limitation. Nevertheless, the dropouts are not likely to have affected the overall results of LORANS because we observed no correlation between dropout rates and mean difference in SBP and DBP in the included studies as shown in Figures S11 and S12. Another limitation is that we had an indication of small‐studies bias from 3 funnel plots. However, given that the magnitude and the direction of the effect were the same after using the trim and fill method to correct for the asymmetry in the 3 plots, the effect of small‐studies bias is minimal. Also, participants in LORANS and the meta‐analysis studies are, on average, relatively young, yet we found no association between mean age and the change in SBP and DBP as shown in Figures S9 and S10.

Conclusions

Ramadan fasting appears to have a beneficial effect on blood pressure independent of weight, TBW, and fat mass. Our review supports the recommendations by Communities in Action organization (supported by the National Health Service) and the Saudi government, which describe Ramadan fasting as a safe religious practice with respect to blood pressure.

Sources of Funding

This project was partially funded by Saudi Arabia Cultural Bureau in London. The funder had no role in either the study design, data collection, data analysis, data interpretation, or the decision to publishing the study. Elliott also acknowledges support from the National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London; and the British Heart Foundation Imperial College Centre for Research Excellence. Elliott is a UK DRI Professor at the UK Dementia Research Institute, Imperial College London, which receives funding from the Medical Research Council, Alzheimer's Society, and Alzheimer's Research UK.

Disclosures

None. Data S1 Tables S1–S6 Figures S1–S12 References 81, 82, 83, 84 Click here for additional data file.
  58 in total

1.  Effect of Ramadan fasting on some indices of insulin resistance and components of the metabolic syndrome in healthy male adults.

Authors:  Z Vahdat Shariatpanahi; M Vahdat Shariatpanahi; S Shahbazi; A Hossaini; A Abadi
Journal:  Br J Nutr       Date:  2007-12-06       Impact factor: 3.718

2.  Clinical and Biochemical Parameters of Hemodialysis Patients Before and During Islamic Month of Ramadan.

Authors:  Salman Imtiaz; Beena Salman; Murtaza Fakhruddin Dhrolia; Kiran Nasir; Hasan Nasir Abbas; Aasim Ahmad
Journal:  Iran J Kidney Dis       Date:  2016-03       Impact factor: 0.892

3.  Effects of Ramadan fasting on biochemical and hematological parameters and cytokines in healthy and obese individuals.

Authors:  Murat Unalacak; Ismail Hamdi Kara; Davut Baltaci; Ozgür Erdem; P Gamze Erten Bucaktepe
Journal:  Metab Syndr Relat Disord       Date:  2011-01-16       Impact factor: 1.894

Review 4.  Effects of Intermittent Fasting on Health, Aging, and Disease.

Authors:  Rafael de Cabo; Mark P Mattson
Journal:  N Engl J Med       Date:  2019-12-26       Impact factor: 91.245

5.  The effect of Ramadan fasting and continuing sodium-glucose co-transporter-2 (SGLT2) inhibitor use on ketonemia, blood pressure and renal function in Muslim patients with type 2 diabetes.

Authors:  Yanli Shao; Gwyneth Joy Lim; Chin Lian Chua; Yip Fong Wong; Ester Chai Kheng Yeoh; Serena Kiat Mun Low; Chee Fang Sum
Journal:  Diabetes Res Clin Pract       Date:  2018-05-24       Impact factor: 5.602

6.  [Metabolic effects of the month of Ramadan fasting on type 2 diabetes].

Authors:  R Bouguerra; A Belkadhi; J Jabrane; J Hamzaoui; C Maâtki; M C Ben Rayana; C Ben Slama
Journal:  East Mediterr Health J       Date:  2003 Sep-Nov       Impact factor: 1.628

7.  The impact of fasting during Ramadan on the glycemic control of patients with type 2 diabetes mellitus.

Authors:  S B Sahin; T Ayaz; N Ozyurt; K Ilkkilic; A Kirvar; H Sezgin
Journal:  Exp Clin Endocrinol Diabetes       Date:  2013-08-09       Impact factor: 2.949

8.  Impact of Ramadan Diurnal Intermittent Fasting on Metabolic Syndrome Components in Healthy, Non-Athletic Muslim People Aged Over 15 Years: A Systematic Review and Meta-Analysis.

Authors:  Mo'ez Al-Islam E Faris; Haitham A Jahrami; Joud Alsibai; Asma A Obaideen
Journal:  Br J Nutr       Date:  2019-10-04       Impact factor: 3.718

9.  The effect of Ramadan fasting on cardiovascular events and risk factors in patients with type 2 diabetes: A systematic review.

Authors:  Munerah Almulhem; Radhika Susarla; Luluh Alabdulaali; Kamlesh Khunti; Muhammad Ali Karamat; Thayakaran Rasiah; Abd A Tahrani; Wasim Hanif; Krishnarajah Nirantharakumar
Journal:  Diabetes Res Clin Pract       Date:  2019-11-09       Impact factor: 5.602

10.  The effects of intermittent fasting during the month of Ramadan in chronic haemodialysis patients in a tropical climate country.

Authors:  Wan Ahmad Hafiz Wan Md Adnan; Nur Lisa Zaharan; Mun Hoe Wong; Soo Kun Lim
Journal:  PLoS One       Date:  2014-12-29       Impact factor: 3.240

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