Acupuncture and related techniques for obesity and cardiovascular risk factors: a systematic review and meta-regression analysis

ACUPUNCTURE IN MEDICINE(2020)

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Abstract
Objective: To assess how acupuncture and related techniques affect weight-related indicators and cardiovascular risk factors compared with non-acupuncture interventions in overweight and obese patients. Methods: We searched PubMed, Embase and CENTRAL up to 19 April 2018 and included relevant randomised controlled trials (RCTs). Weighted mean differences (WMDs) and 95% confidence intervals (CI) were pooled using the inverse variance method with random-effects model. Prespecified hypotheses were tested in meta-regression to investigate the source of heterogeneity. Statistical software packages used were RevMan 5.3.5 and Stata 14.0. Results: Thirty-three RCTs were included (n=2503 patients). Compared with non-acupuncture interventions, acupuncture produced a greater reduction in body weight (WMD -1.76 kg, 95% CI -2.22 to -1.30, I-2=77%; moderate quality), body mass index (WMD -1.13 kg/m(2), 95% CI -1.38 to -0.88, I-2=85%; low quality) and waist circumference (WMD -2.42 cm, 95% CI -3.22 to -1.62, I-2=75%; moderate quality). Acupuncture plus lifestyle intervention resulted in a greater reduction in body weight than acupuncture alone (MD -1.94 kg, 95% CI -3.17 to -0.70). Acupuncture also led to a greater reduction in total cholesterol (WMD -12.87 mg/dL, 95% CI -22.17 to -3.57, I-2=87%; very low quality) and low-density lipoprotein cholesterol (WMD -13.52 mg/dL, 95% CI -21.47 to -5.58, I-2=74%; low quality). The differences were not statistically significant for blood glucose or blood pressure. Conclusion: In the short term, acupuncture and related techniques may produce a small but statistically significant degree of weight loss based on moderate- to low-quality evidence, and improve serum lipid parameters based on low- to very-low-quality evidence. Their effects on blood glucose and blood pressure remain uncertain.
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Key words
acupuncture,obesity,cardiovascular risk,lipid profile,blood glucose,blood pressure,body mass index,waist circumference,body weight
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