Participants
In this double-blinded, placebo-controlled trial, 96 T2DM patients were recruited from the endocrinology and metabolism clinics of Golestan Hospital of Ahvaz Jundishapur University of Medical Science, Iran. Fifty participants were selected based on the inclusion criteria (Fig. 1).
The FBS ≥ 126 mg/dl and HbA1c ≥ 6.5% or 2-hglucose (2 hpp) ≥ 200 mg/dl were used as the criteria to define diabetes mellitus (DM) [30]. The inclusion criteria were: male or female, age of 30-60 years old, BMI 18.5-30 kg/m2, and having DM (for more than five years since the diagnosis). The exclusion criteria were having kidney and thyroid diseases, traveling for more than two weeks, pregnancy and lactation, smoking, having consumed alcohol over the past year, using medications such as immunosuppressive agents, insulin, anti-inflammatory drugs, and dietary supplements, and remarkable changes in using medications and treatment of diabetes or considerable changes in diet over the past six months. The compliance of the participants was assessed by counting the remaining tablets. Participants who consumed < 90% of the prescribed tablets were excluded.
The participants were allocated to intervention (n = 25) or placebo (n = 25) groups by a random block design. Accordingly, all the participants were assigned to six groups with four blocks in two steps plus two separate subjects using two codes of A and B according to the block design (AABB, BBAA, ABAB, BABA, ABBA, BABA). Randomization was performed by an independent third person in the health-care system who was not informed of the study. The researchers and patients were not informed of the allocation of participants to the groups (double-blinded). The participants in the intervention and control groups received 250 mg of either melatonin supplement (containing sodium starch glycolate, magnesium stearate, and 3 mg of net melatonin; purchased from the National Vitamin Company, Nature Made, USA) or placebo tablets (containing a few drops of peppermint oil, manufactured in the Faculty of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Iran). The melatonin and placebo tablets were prescribed for eight weeks as two tablets once a day one hour before bedtime. In terms of size, color, taste, and shape, the placebo and melatonin tablets were matched. The participants were asked to report any probable side effects of supplementation throughout the study. Patients were advised to follow any prescribed treatment and diabetic diet, and not to change their usual physical activity and diet pattern during the study.
Blood pressure (BP), mean arterial pressure (MAP), and pulse pressure (PP)
BP was recorded in a relaxed sitting position on the left arm after at least a 5min rest using a mercury sphygmomanometer. The measurement was repeated twice, and the mean of the two measurements was considered as the BP. MAP and PP were calculated according to the following equations [8, 9]:
MAP(mmHg)=[SBP+(2×DBP)]/3
PP(mmHg)=SBP(mmHg)-DBP(mmHg)
Traditional and new anthropometric indices and nutritional assessment
All anthropometric measurements were performed by a trained nutritionist. Traditional anthropometric indices included height, weight, BMI, WC, and HC. Height (without shoes in a standard situation with a precision of 0.1 cm) and weight (by Seca scales, with light clothes, and a precision of 0.1 kg) were measured. BMI was calculated as weight (Kg)/height (m2). WC as the smallest horizontal girth between the costal and iliac crests was measured using a non-stretchable measuring tape at minimal respiration. Hip circumference, as the greatest circumference at the level of greater trochanters (the widest portion of the hip) on both sides, was also measured.
All calculations for new anthropometric indices (ABSI, AVI, BAI, conicity, LAP, and WHR) were performed according to the following equations [31]:
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)
A 3-day 24-h dietary recall was also obtained for dietary assessment at the beginning and end of the study. The Nutritionist IV software (Axxya Systems, Stafford, Texas, USA), modified for Iranian foods, was used for dietary data analysis.
Atherogenic index of plasma (AIP(
AIP was obtained by dividing the logarithmically transformed ratio of triglycerides (TGs) / high-density lipoprotein cholesterol
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)
All the measurements and calculations were repeated after the intervention at the end of the study.
Blood sampling and biochemical measurements
Blood samples of 2 cc were collected from all the participants after fasting overnight for at least 12 hours, and were centrifuged at 3000 rpm for 5 min. The lipid profile parameters were immediately measured using Pars Azmoon kits (Pars Azmoon, Tehran, Iran). The serum concentrations of TG and HDL-C were determined through an enzymatic procedure using glycerol phosphate oxidase and phosphotungstic acid, respectively.
Statistical analysis
Statistical analyses were performed using SPSS software version 19.0 for Windows (PASW Statistics; SPSS Inc., Chicago, IL, USA). Analyses were conducted via an intention-to-treat (ITT) approach. The Kolmogorov-Smirnov test was used to check the normality of the data. An independent sample t-test and a paired sample t-test were also performed to compare the normal variables between and within groups, respectively, at baseline and after intervention. Post-intervention, the analysis of covariance (ANCOVA) was done to compare the results between the two groups after adjustment for confounding factors. We used two models, a crude model (without adjust) and with adjustment with age, sex, job, education, energy, physical activity, drugs, and disease duration (Model 1). A chi-square test was also used to compare the categorical variables. Data are expressed as mean ± standard deviation (SD) for normal distributions and median (Q1-Q3) for abnormal distributions. A Mann-Whitney U test was performed to compare changes between the two groups after the intervention. P-values < 0.05 were deemed significant.
Based on Ramezanpour et al.'s study [32], with 5% α (confidence interval of 95%) and 80% power of study, and considering SBP as the primary outcome, according to this formula:
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A0E7ht4Pq+7bbbykILLWTqQSz2d9xxR2odaHlQN+YBtDzHHXdcnqym/1cnQutbmfaFtMZxTUFVG0eZskBmCU8r06npBxxwgEwzzTSRzaRT+9np/cpFQBAMun1cStClE29xyy23mPsGxyDhUKmaqdSxYtzCVpAHUKfGXVfylAl5Agb6DAOtbKG4h2hH3V133WXFcOdH1ae+T61U0+O8tB3+Ag76Yg6kTdrchlQs27iHYIzyll4MTRgX1W9Lx5QOlE1ar9Nys5slnRV9Xh2Evwy/AQMdgYHcBASxQAj4Z3nARQIgJDgLNNDKjk/KyuOf4SpPSEKAgIEqYCA3AeESAcQDntiRcBZE8CfuJS24jB1K2b5c+EjbfXIVDpkCBtqEAeKpNNrVXJ5qXIbSeLtkugYwmfyh8SnRI04z0Qlv1njcZIgvD9CdGOA0Hj3N1Ck34tRRtkdhC52MOY67Utp0qkSr6WZub2xU0ag949GgnGpJwBfesHoIQ8vu4m1aLCpXbaMgt04dBH3VGVTXPdT56jpjJg7U/WpfqstT5QQ/ZjiuOOQmILxt2cLiQHQhIdZ4yibDfOP5wnVjDKgB2swDas1vnKEDUzk7gFARH2nru8hYODJLT4wVvL/zhEb4slX4ZXyMy8eZRX2u2Y/CTa9hQGP+zcGVk2yqBrjx4JyLR3oSkgcVJp9X8Z7x4nDbyHUstytPFQfeyX3WE2ncuuuuW9dFXIM0+CtK13MEHCeLtgOKtEXovH7+pKZbnEiqAXU1p5XWZKjoDW5PaeHugYD64KUSk6IBb5FfYbwLKmc6iAv45JNPTHDlDOp2QJG2iIMiPMDHyzQ7qLAd/e+EOmslooixCxftxIB6+loEJSfIxAFjMy5RyJaANx1wZFQziB+plczb6EitIm1RP33HLsgZfESM4hsZD4HWgwqT3eiX94GA+uC1QkBAMsQ4STAI7Gg+43YHQpc5KIOzDgil9hA/Usun+d9GR2o1a4vv5+iXF0R3QcHfkbBp9X73VZo9hNBtxqLmDFMmRQ+76aITtsFu68Nzzz1nrFnyGFr1WI/CzvnqAedY+69BgCMCCQl+47xrgr6KQLO2iBzN+n4O32ZSOnEcwdXNkFuN3U2LSrvHyooOcHpOHDiIhFOHOBpKw4nNuwP2CBsbOw/H87JzsBMUDd9o1lYztbTvux9LfBzddB0IqA/eNu5KyCV+EtIF5An8DYm30oNLhKNrMVTrYR924irH2Oq5AvbV7KJdztOWbwMDKfn33Xdfn2S/9F0PqxSO4Opq6Obtty/HDgvGJyL5KBWAqlonon3twZ8eSsh4o7h8Tmdt9vmOrLHlbStNLY0WUf0f7UNaWe10w7OwA/XR8slZZWjXYNX4YBcsFR/vwiHXnx4Km+YPfo93UyewfdwrntbKdZ62rrnmGvtYFsGUnNOtZwVYE5xTjeuWGlLrzh9vpQ/9Jm83rBKdOkYOKNED5O2AEp3UjuOfsgCHTc5w08ln552ts846TtmrrCINnzVrix2GU3dox//57+fsvPPO1ucqfxe2IVJ6mJgrpLvfrBZhIAEDJWMgsHAlIzRU110YCATUXe87jLZkDAQCKhmhobruwkAgoO5632G0JWMgEFDJCA3VdRcGAgF11/sOoy0ZA4GASkZoqK67MBAIqLvedxhtyRgIBFQyQkN13YWBQEDd9b7DaEvGQCCgkhEaqusuDPwLobvwzCP43vwAAAAASUVORK5CYII=)
the sample size was estimated to be 21 participants for each group; however, considering a 20% withdrawing rate, we selected 25 participants in each group.