Honey consumption is inversely associated with prediabetes among Chinese adults: results from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) Cohort Study

Honey polyphenols: regulators of human microbiota and health

A comprehensive review of research over the last decade was conducted to carry out this work. The main objective of this work is to present relevant evidence of the effect of honey intake on the human intestinal microbiota and its relationship with the improvement of various chronic diseases, such as cirrhosis, metabolic syndrome, diabetes, and obesity, among others. Therefore, this work focuses on the health-improving honey dietary supplementation implications associated with specific changes in the human microbiota and their biochemical mechanisms to enhance the proliferation of beneficial microorganisms and the inhibition of pathogenic microorganisms. Consumption of honey polyphenols significantly improves people's health conditions, especially in patients with chronic disease. Hence, honey intake unequivocally constitutes an alternative way to enhance health and could be used to prevent some relevant chronic diseases.

Effect of honey on cardiometabolic risk factors: a systematic review and meta-analysis

Context

Excess calories from free sugars are implicated in the epidemics of obesity and type 2 diabetes. Honey is a free sugar but is generally regarded as healthy.

Objective

The effect of honey on cardiometabolic risk factors was assessed via a systematic review and meta-analysis of controlled trials using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach.

Data Sources

MEDLINE, Embase, and the Cochrane Library databases were searched up to January 4, 2021, for controlled trials ≥1 week in duration that assessed the effect of oral honey intake on adiposity, glycemic control, lipids, blood pressure, uric acid, inflammatory markers, and markers of nonalcoholic fatty liver disease.

Data Extraction

Independent reviewers extracted data and assessed risk of bias. Data were pooled using the inverse variance method and expressed as mean differences (MDs) with 95%CIs. Certainty of evidence was assessed using GRADE.

Data Analysis

A total of 18 controlled trials (33 trial comparisons, N = 1105 participants) were included. Overall, honey reduced fasting glucose (MD = −0.20 mmol/L, 95%CI, −0.37 to −0.04 mmol/L; low certainty of evidence), total cholesterol (MD = −0.18 mmol/L, 95%CI, −0.33 to −0.04 mmol/L; low certainty), low-density lipoprotein cholesterol (MD = −0.16 mmol/L, 95%CI, −0.30 to −0.02 mmol/L; low certainty), fasting triglycerides (MD = −0.13 mmol/L, 95%CI, −0.20 to −0.07 mmol/L; low certainty), and alanine aminotransferase (MD = −9.75 U/L, 95%CI, −18.29 to −1.21 U/L; low certainty) and increased high-density lipoprotein cholesterol (MD = 0.07 mmol/L, 95%CI, 0.04–0.10 mmol/L; high certainty). There were significant subgroup differences by floral source and by honey processing, with robinia honey, clover honey, and raw honey showing beneficial effects on fasting glucose and total cholesterol.

Conclusion

Honey, especially robinia, clover, and unprocessed raw honey, may improve glycemic control and lipid levels when consumed within a healthy dietary pattern. More studies focusing on the floral source and the processing of honey are required to increase certainty of the evidence.

Systematic Review Registration

PROSPERO registration number CRD42015023580.

The Effect of Honey on Lipid Profiles: A Systematic Review and Meta-analysis of Controlled Clinical Trials

Honey is known not only as a natural food but also as complementary medicine. According to the controversial evidence about the effects of honey on blood lipids, this meta-analysis was performed to investigate the potential effects of honey on lipid profiles. Relevant studies were identified by searching PubMed, Web of Science (WOS), Scopus, EMBASE, and Cochrane databases. All human controlled clinical trials (either with a parallel or a crossover design) published in English that reported changes in serum lipid markers (Total Cholesterol (TC), Triglyceride (TG), Low Density Lipoprotein Cholesterol (LDL-C), High Density Lipoprotein Cholesterol (HDL-C), and LDL-C/HDL-C ratio) following honey consumption were considered. Standardized Mean Differences (SMDs) and their respective 95% Confidence Intervals (CIs) were calculated to assess the changes in lipid profiles following honey consumption by random effects model. Statistical heterogeneity, sensitivity analysis, publication bias, and quality of the included studies were assessed, as well. The meta-analysis of 23 trials showed that honey had no significant effects on TC, TG, LDL-C, HDL-C, and LDL-C/HDL-C ratio. Significant heterogeneity was seen among the studies for all the studied factors (I2 index > 50%). Subgroup analysis based on the lipid profile status, types of honey, and intervention duration revealed no significant effect on TC, TG, LDL-C, and HDL-C. Quality of the evidences varied form very low to moderate according to various parameters. In conclusion, honey consumption did not affect serum lipid profiles (TC, TG, LDL-C, HDL-C, and LDL-C/HDL-C ratio).

Soft drink consumption and risk of nonalcoholic fatty liver disease: results from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) cohort study

BACKGROUND

Epidemiological evidence for the association of soft drink consumption with nonalcoholic fatty liver disease (NAFLD) is inconsistent, and such association has not been prospectively examined in the general adult population.

OBJECTIVES

We aimed to investigate the prospective association between soft drink consumption and the risk of NAFLD in a Chinese adult population.

METHODS

This prospective cohort study investigated 14,845 participants [mean age: 39.3 y; 6203 (41.8%) men] who were free of liver disease, cardiovascular disease, and cancer at baseline. Soft drink consumption (mainly sugar-containing carbonated beverages) was measured at baseline using a validated FFQ. NAFLD was diagnosed based on abdominal ultrasound without significant alcohol consumption and other causes of liver disease. Hepatic steatosis index (HSI) was calculated based on sex, BMI, and blood transaminase levels. Cox proportional hazards regression models were used to examine the association of soft drink consumption with incident NAFLD.

RESULTS

A total of 2888 first-incident cases of NAFLD occurred during 42,048 person-years of follow-up (median follow-up: 4.2 y). After adjusting for demographic characteristics, lifestyle factors, dietary intake, and inflammatory markers, the multivariable HRs (95% CIs) for incident NAFLD were 1.00 (reference) for <1 serving/wk, 1.18 (1.03, 1.34) for 1 serving/wk, 1.23 (1.08, 1.40) for 2-3 servings/wk, and 1.47 (1.25, 1.73) for ≥4 servings/wk, respectively (P for trend < 0.0001). Further sensitivity analysis showed that the corresponding multivariable HRs (95% CIs) for incident HSI-defined NAFLD were 1.00 (reference), 0.96 (0.70, 1.31), 1.16 (0.83, 1.62), and 1.59 (1.07, 2.37), respectively (P for trend < 0.0001).

CONCLUSIONS

The results from our prospective study indicate that soft drink consumption is associated with an increased risk of NAFLD in Chinese adults. This study was registered at UMIN Clinical Trials Registry as UMIN000027174.

The relationship between dietary patterns and grip strength in the general population: the TCLSIH cohort study

PURPOSE

Previous studies have shown that many nutrients play an essential role in maintaining skeletal muscle strength. Hand grip strength (HGS) is frequently used as an objective and reliable method to evaluate overall body muscle strength and physical function. Some studies have demonstrated that some specific single nutrients such as PUFA, fiber, vitamin C, fruits and vegetables are associated with muscle strength. However, few studies have explored the relationship between dietary patterns and HGS in the adult population. The aim of this study was to investigate how dietary patterns are related to HGS in a large-scale Chinese population.

METHODS

A cross-sectional study (n = 35,175) was performed in Tianjin, China. Adherence to dietary patterns was measured by a valid self-administered food frequency questionnaire with 81 food items. Principal-components analysis was used to derive three major dietary patterns: "sweet", "healthy" and "animal food". HGS was measured using a handheld digital dynamometer. Analysis of covariance and multiple logistic regression were employed to explore the relationship between dietary patterns and HGS.

RESULTS

After adjustment for potential confounders, the means (95% confidence interval) of HGS for increasing quartile of dietary patterns were as follows: "sweet", 0.50 (0.49-0.51), 0.50 (0.49-0.51), 0.50 (0.49-0.51), 0.50 (0.48-0.51) (P value = 0.07); "healthy" 0.50 (0.49-0.51), 0.50 (0.49-0.51), 0.50 (0.49-0.51), 0.50 (0.49-0.51) (P value < 0.0001); "animal food" 0.51(0.50-0.52), 0.50 (0.49-0.51), 0.50 (0.49-0.51), 0.49 (0.48-0.51) (P value < 0.0001), respectively.

CONCLUSIONS

The present study demonstrated a slight improvement between healthy dietary pattern and HGS across the quartiles. On the contrary, this study also showed higher adherence to the animal food dietary pattern (i.e., higher quartile) had lower grip strength. A long-term prospective study or randomized trials are required to clarify this association.

Association between consumption frequency of honey and non-alcoholic fatty liver disease: results from a cross-sectional analysis based on the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) Cohort Study

Non-alcoholic fatty liver disease (NAFLD) is the hepatic manifestation of the metabolic syndrome. Recent evidence has suggested the protective effects of honey consumption against the metabolic syndrome, but the association between honey intake and NAFLD is still unclear. We investigated how the consumption frequency of honey was associated with NAFLD in the general population. This was a cross-sectional study of 21 979 adults aged 20-90 years. NAFLD was diagnosed based on the ultrasound-diagnosed fatty liver without significant alcohol intake and other liver diseases. Diet information, including consumption frequency of honey, was assessed by a validated 100-item FFQ. OR with 95 % CI were calculated by the binary logistic regression model, adjusting for confounding factors identified by the directed acyclic graph. Overall, 6513 adults (29·6 %) had NAFLD. Compared with participants consuming ≤1 time/week of honey, the multivariable OR of NAFLD were 0·86 (95 % CI 0·77, 0·97) for 2-6 times/week and 1·10 (95 % CI 0·95, 1·27) for ≥1 times/d (Pfor trend = 0·90). The results were generally similar in subgroups of BMI at a cut-point of 24·0 kg/m2 (Pfor interaction = 0·10). In this large-scale study, consuming honey 2-6 times/week was inversely associated with NAFLD, whereas consuming honey ≥1 times/d had no association with NAFLD. These results need replication in other large-scale prospective studies.