ORIGINAL | Clinical Nutrition • Rev Nutr 37 • 2024 • https://doi.org/10.1590/1678-9865202437e230073 copy
O efeito do chocolate amargo rico em polifenóis nos lipídios séricos em indivíduos saudáveis
Objective
The present study aims to investigate the effects of consuming dark chocolate on the serum lipid profile of healthy adults.
Methods
The study was conducted over 4 weeks with a total of 37 subjects, including control (n=20) and intervention (n=17) groups. While the intervention group consumed 36g/day of dark chocolate (400 mg flavanol/day), the control group received no intervention. At the beginning and end of the study, some anthropometric measurements, blood pressure and biochemical parameters (low-density lipoprotein, high-density lipoprotein and total cholesterol, triglycerides, haemoglobin A1c and C-reactive protein, fasting blood glucose) were measured and 3-day food and physical activity records were taken every 15 days during the study period.
Results
After four weeks, body weight and body mass index decreased in the intervention group (p0.05). Low-density lipoprotein and total cholesterol also decreased in the intervention group (-8.16mg/dl and -10mg/dl, respectively; p0.05), and no change was observed in high-density lipoprotein cholesterol (p0.05). While an increase in fasting blood glucose was observed (p0.05), there was no difference in hemoglobin A1c and C-reactive protein levels (p0.05). Similarly, there was no change in systolic or diastolic blood pressure in either group (No-BreakpNo-Break0.05).
Conclusion
In conclusion, the consumption of 36g/day (400mg/day flavanol) for 4 weeks in healthy individuals can reduce low-density lipoprotein and total cholesterol without causing weight gain. Thus, cocoa consumption as a dietary intervention has a possible role in reducing the risk of cardiovascular disease as an age-related lifestyle disease. Long-term studies with larger samples are needed.
Keywords
Blood Glucose; Blood Pressure; Chocolate; Cholesterol; Cocoa
Objetivo
O presente estudo tem como objetivo examinar os efeitos do consumo de chocolate amargo no perfil lipídico sérico de indivíduos adultos saudáveis.
Métodos
O estudo foi realizado com 37 indivíduos no total, incluindo os grupos controle (n=20) e intervenção (n=17), por 4 semanas. Enquanto o grupo de intervenção consumiu 36g/dia de chocolate amargo (400mg de flavanol/dia), o grupo controle não recebeu nenhuma intervenção. No início e no final do estudo, algumas medidas antropométricas, pressão arterial e parâmetros bioquímicos do sangue (lipoproteína de baixa densidade, lipoproteína de alta densidade e colesterol total, triglicerídeos, hemoglobina A1c (HbA1c) e C- proteína reativa, glicemia de jejum) foram medidos, e durante o período de estudo o consumo alimentar de 3 dias e os registros de atividade física foram feitos a cada 15 dias.
Resultados
Ao final de quatro semanas, os níveis de peso corporal e índice de massa corporal do grupo de intervenção diminuíram (p0,05). Além disso, LDL e colesterol total diminuíram no grupo de intervenção (respectivamente; -8,16mg/dl, -10mg/dl; p0,05) e nenhuma alteração determinada no colesterol HDL (p0,05). Enquanto um aumento é observado na glicemia evidente (p0,05), não há diferença nos níveis de HbA1c e PCR (p0,05). Da mesma forma, nenhuma alteração foi encontrada na pressão arterial sistólica e diastólica em ambos os grupos (p0,05).
Conclusão
Concluiu-se que, o consumo de 36g/dia (400mg/dia de flavanol) por 4 semanas em indivíduos saudáveis pode reduzir o LDL e o colesterol total sem causar ganho de peso. Assim, o consumo de cacau como uma intervenção dietética tem um possível papel para diminuir o risco de doença cardiovascular como uma doença relacionada ao estilo de vida relacionada à idade. Estudos de longo prazo com amostras maiores são necessários.
Palavras-chave
Glicemia; Pressão Arterial; Chocolate; Colesterol; Cacau
Cocoa products are widely consumed around the world for their taste, richness in polyphenols and antioxidant activity. The antioxidant activity of cocoa is generally associated with flavanols, a subclass of polyphenols [11 Goya L, Martín MÁ, Sarriá B, Ramos S, Mateos R, Bravo L. Effect of cocoa and its flavonoids on biomarkers of inflammation: Studies of cell culture, animals and humans. Nutrients. 2016;8(4):212. https://doi.org/10.3390/nu8040212
https://doi.org/10.3390/nu8040212... ]. The polyphenol content of chocolate, one of the most commonly consumed cocoa products, varies. Chocolate with a high cocoa content is considered to be rich in polyphenolic compounds. Accordingly, the flavanol content of dark chocolate with a higher cocoa content (≥60% cocoa) is higher than the flavanol content of milk and white chocolate [22 Ried K, Fakler P, Stocks NP. Effect of cocoa on blood pressure. Cochrane Database Syst Rev. 2017;4:CD008893. https://doi.org/10.1002/14651858.CD008893.pub3
https://doi.org/10.1002/14651858.CD00889... ,33 Badrie N, Bekele F, Sikora E, Sikora M. Cocoa agronomy, quality, nutritional, and health aspects. Crit Rev Food Sci Nutr. 2015;55(5):620-59. https://doi.org/10.1080/10408398.2012.669428
https://doi.org/10.1080/10408398.2012.66... ]. In addition to its flavanol content, cocoa also contains health-promoting components such as theobromine, magnesium, iron, potassium, copper and insoluble dietary fiber [11 Goya L, Martín MÁ, Sarriá B, Ramos S, Mateos R, Bravo L. Effect of cocoa and its flavonoids on biomarkers of inflammation: Studies of cell culture, animals and humans. Nutrients. 2016;8(4):212. https://doi.org/10.3390/nu8040212
https://doi.org/10.3390/nu8040212... ,44 Magrone T, Russo MA, Jirillo E. Cocoa and dark chocolate polyphenols: from biology to clinical applications. Front Immunol. 2017;8:677. https://doi.org/10.3389/fimmu.2017.00677
https://doi.org/10.3389/fimmu.2017.00677... ]. Cocoa has been reported to have beneficial effects on endothelial dysfunction, insulin resistance, high blood lipids, elevated blood pressure, and increased inflammation due to its rich antioxidant and biologically active components [55 Zięba K, Makarewicz-Wujec M, Kozłowska-Wojciechowska M. Cardioprotective mechanisms of cocoa. J Am Nutr Assoc. 2019;38(6):564-75. https://doi.org/10.1080/07315724.2018.1557087
https://doi.org/10.1080/07315724.2018.15... ]. In a study of 100 healthy adults, consumption of a cocoa drink containing 900 mg of flavanols per day for 1 month had a beneficial effect on blood pressure and blood lipid profile and reduced the 10-year risk of Cardiovascular Disease (CVD) [66 Sansone R, Rodriguez-Mateos A, Heuel J, Falk D, Schuler D, Wagstaff R, et al. Cocoa flavanol intake improves endothelial function and Framingham Risk Score in healthy men and women: A randomised, controlled, double-masked trial: The Flaviola Health Study. Br J Nutr. 2015;114(8):1246-55. https://doi.org/10.1017/S0007114515002822
https://doi.org/10.1017/S000711451500282... ]. Another similar study reported that a cocoa flavonoid-based dietary intervention in healthy male subjects lowered blood pressure and improved atherosclerosis in elderly individuals and that dietary cocoa flavanols have important effects in protecting cardiovascular health [77 Heiss C, Sansone R, Karimi H, Krabbe M, Schuler D, Rodriguez-Mateos A, et al. Impact of cocoa flavanol intake on age-dependent vascular stiffness in healthy men: A randomized, controlled, double-masked trial. Age. 2015;37:1-12. https://doi.org/10.1007/s11357-015-9794-9
https://doi.org/10.1007/s11357-015-9794-... ]. In line with this finding, the potential role of cocoa products high in flavanols in reducing and treating cardiovascular disease risk remains relevant [88 Christen T, Nagale S, Reinitz S, Narayanan S, Roy K, Allocco DJ, et al. Using digital health technology to evaluate the impact of chocolate on blood pressure: Results from the COCOA-BP study. Cardiovasc Digit Health J. 2020;1(2):89-96. https://doi.org/10.1016/j.cvdhj.2020.08.002
https://doi.org/10.1016/j.cvdhj.2020.08.... ]. The European Food Safety Authority recommends a daily intake of 200mg of flavanols for the general population due to the beneficial effects of cocoa flavanols on blood pressure and endothelium-dependent function. It is stated that this amount can be achieved with an additional 2.5g/day of high-flavanol cocoa powder or 10g/day of high-flavanol dark chocolate, in addition to a balanced diet [99 EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA). Scientific Opinion on the substantiation of a health claim related to cocoa flavanols and maintenance of normal endothelium-dependent vasodilation pursuant to Article 13 (5) of Regulation (EC) No 1924/2006. EFSA J. 2012;10(7):2809. https://doi.org/10.2903/j.efsa.2012.2809
https://doi.org/10.2903/j.efsa.2012.2809... ]. The potential beneficial effects of dark chocolate on vascular health are notable for their simplicity, affordability and public acceptance. Studies in healthy individuals are important to determine the effect of dark chocolate on the risk of cardiovascular disease, which is an age-related lifestyle disease. This study aims to evaluate the effect of dark chocolate consumption on serum lipid parameters in healthy individuals.
Participants
The study was conducted on healthy volunteers aged 19-50 working at the Samsun Provincial Gendarmerie Command. As a result of the power analysis, 60 individuals volunteered for the study. The inclusion criteria of study individuals were as follows: age between 19-50, BMI<30kg/m², no diagnosed chronic or acute disease, not allergic to cocoa products, not in the process of body weight loss, non-smokers and not consuming alcohol, not taking medication or vitamin/mineral supplements, not doing heavy physical activity, frequency of chocolate/cocoa product consumption below 1 serving 3-4 times per week for the last 1 month, not pregnant or lactating for female individuals. Individuals who had been diagnosed with a disease based on biochemical parameters or who had started taking medication/supplements, whose Systolic Blood Pressure (SBP) was higher than 140mmHg and/or whose Diastolic Blood Pressure (DBP) was higher than 90mmHg, who had been diagnosed with Coronavirus Disease 2019 (Covid-19) or who had been in contact with Covid-19 and who consumed cocoa/chocolate products during the study, who did not consume the intervention product regularly and who did not wish to continue participating were excluded from the study (Figure 1). A total of 37 volunteers (female: 4, male: 33) completed the study. The study was approved by the Ethics Committee for Scientific Research and Publication of the Eastern Mediterranean University on December 17, 2020 and was numbered 2020-08. All participants were asked to sign an informed consent form in accordance with the Declaration of Helsinki. The Clinical Trial ID number for the current study is: NCT05290012.
Study Design
The study was conducted as a randomized controlled trial. Individuals who met the inclusion criteria were randomly divided into two groups, a control group and an intervention group, which were as similar as possible in terms of body weight, age, gender and body mass index. During the study period, it was ensured that both groups did not consume products containing cocoa/chocolate outside the scope of the study. The intervention group consumed 36 g/day of dark chocolate (400mg/day of flavanols) in addition to their daily diet, while the control group had no intervention. Chocolate was distributed to the intervention group on a weekly basis and was packaged according to the amount to be consumed daily. To monitor individual compliance, food consumption and physical activity were recorded for 3 consecutive days from the start of the study, once every 15 days, including 1 day on the weekend, 2 days on weekdays. Average daily energy and nutrient intakes were calculated using EBISpro for Windows, Stuttgart, Germany; Turkish version (BeBiS 8.2). Factorial calculations of total energy expenditure for a population group were used according to World Health Organization 1985. Physical activity status was then determined by asking individuals how much time they spent sleeping, resting, sitting, working while seated, etc. by using factorial calculations during the day. From the data obtained, individual Basal Metabolic Rate (BMR), Total Energy Expenditure (TEE), and individual Physical Activity Level (PAL=TEE/BMR) were calculated. As a summary, PAL was measured from the average 24-hour TEE and BMR (PAL=TEE/BMR). To determine the energy expenditure of the participants, PAL was multiplied by BMR to give the actual energy requirement [1010 World Health Organization. Energy and Protein Requirements. Report of a Joint FAO/WHO/UNU Expert Consultation. Technical Report Series 724. Geneva: World Health Organization; 1985.]. At the beginning and at the end of the study, biochemical blood values, including serum lipids and glucose, blood pressure and anthropometric measurements of the individuals were taken.
Characteristics of Chocolate Used in the Research
The chocolate was weighed and packaged at 36g per day using a digital food scale. Participants were asked to consume the packaged dark chocolate product twice a day (as a morning snack and afternoon snack). In addition, each pack was labelled with usage instructions. According to the analysis and information provided by the manufacturer, it was stated that there were 1111mg flavanols in 100 grams of chocolate. Since the daily amount consumed by the participants was 36 grams, the daily flavanol intake was also calculated. Accordingly, participants consumed 400mg of flavanols per day by consuming 36 grams of chocolate per day. The nutritional content of the chocolate used in the study is shown in Table 1.
Table 1
Nutritional content of the research chocolate.
Anthropometric Measurements and Blood Pressure
Body composition was measured and the Basal Metabolic Rate (BMR) was calculated using bioelectrical impedance analysis with the TANITA BC-601. Prior to measurement, subjects were warned not to exercise for the previous 24 hours, not to consume caffeinated beverages for at least 4 hours, to be fasting for at least 3 hours, to avoid excessive fluid intake, and female subjects were asked if they were menstruating [1111 Mahan LK, Raymond JL. Krause’s Food & the nutrition care process. Philadelphia, PA: Elsevier Health Sciences; 2017. p. 98-121.]. Before the body analysis, all participants were asked to remove metal jewellery, buckles, watches, belts, etc., as well as shoes and socks. Participants were then placed in a suitable position to step barefoot on the metal detectors of the machine and their measurements were taken [1212 Utter AC, Nieman DC, Ward AN, Butterworth DE. Use of the leg-to-leg bioelectrical impedance method in assessing body-composition change in obese women. Am J Clin Nutr. 1999;69(4):603-7. https://doi.org/10.1093/ajcn/69.4.603
https://doi.org/10.1093/ajcn/69.4.603... ].
Waist and hip circumferences were measured using a non-stretch tape measure. The waist circumference was measured from the midpoint between the iliac crest and the lowest rib bone, while the hip circumference was measured by turning the tape around the widest part. The waist-hip ratio is calculated by mathematically dividing the waist circumference by the hip circumference [1111 Mahan LK, Raymond JL. Krause’s Food & the nutrition care process. Philadelphia, PA: Elsevier Health Sciences; 2017. p. 98-121.]. Participants’ height measurements were taken with their bare feet against the wall using a non-stretchable tape measure.
Blood pressure was measured using a Nimo LD-520 digital sphygmomanometer. After resting for 10 minutes, blood pressure measurements were repeated three times at two-minute intervals with the feet on the floor in a seated position, with the left arm supported at heart level, and the systolic and diastolic blood pressures were recorded by averaging the results [1313 O’Brien E, Asmar R, Beilin L, Imai Y, Mallion JM, Mancia G, et al. European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement. J Hypertens. 2003;21(5):821-48. https://doi.org/10.1097/00004872-200305000-00001
https://doi.org/10.1097/00004872-2003050... ].
Biochemical Blood Parameters
Blood samples taken from participants at baseline and at the end of the study were analysed at the Family Health Centres’ central laboratory by general practitioners. Participants were warned to fast for at least 10-12 hours and to avoid drinking water in the morning before testing. Regarding the blood samples, fasting blood glucose, HbA1c, total cholesterol, LDL cholesterol, HDL cholesterol and C-Reactive Protein (CRP) levels were checked, and the total cholesterol/HDL and LDL/HDL ratios were mathematically calculated.
Statistical Analysis
Statistical evaluation of the data in the study was carried out using the Statistical Package for Social Science, version 26 (IBM Corp. Released 2019, IBM®SPSS®). To determine the methods to be used in testing the research hypotheses, the Shapiro-Wilk test was used to determine whether the data set fit the normal distribution, and it was determined that it did not have a normal distribution. The Mann-Whitney U test was used for between-group comparisons of pre-test and post-test anthropometric measurements, biochemical measurements, blood pressure measurements, energy and macronutrient intakes, energy expenditure, Physical Activity Level (PAL) and BMR measurements of the intervention and control groups, and the Wilcoxon test was used for within-group comparisons.
Thirty-seven individuals, 20 (2 females, 18 males) from the control group and 17 (2 females, 15 males) from the intervention group, completed the study. The mean age of the control group was 31.4±5.43 years and that of the intervention group was 32.7±8.59 years (p>0.05).
The changes in anthropometric measurements over the 4 weeks are shown in Table 2. There was no statistically significant change in body fat percentage, waist and hip circumference measurements in either group during the study (p>0.05). At the end of the study, there was a decrease in muscle mass in the control group, while a decrease in body weight and Body Mass Index (BMI) was observed in the intervention group (p<0.05). Corresponding to this change in body weight, the BMR level also decreased in the intervention group. There was no statistically significant change in PAL and energy expenditure (p>0.05).
Table 2
Comparison of pre-intervention and post-intervention anthropometric and energy expenditure, Physical Activity Level and Basal Metabolic Rate of the intervention and control groups. Samsun, Turkey, 2021.
Table 3 shows the amounts of energy and macronutrients consumed during the study. There was no difference between the amount of energy consumed at baseline and at the end of the study, and this energy was derived from the ratio of carbohydrate, protein and fat in both the control and intervention groups (p>0.05). The PAL of the two groups were similar and were considered equivalent to mild activity (around 1.5 PAL). Consumption of saturated fat and fiber increased in the intervention group compared to baseline (p<0.05). At the end of the study, there was no difference in cholesterol levels in either group compared to baseline (p>0.05).
Table 3
Comparison of pre-intervention and post-intervention energy and macronutrient intake of the intervention and control groups. Samsun, Turkey, 2021.
The changes in the biochemical blood parameters and blood pressure of the study subjects are shown in Table 4. At the end of the study, there was no difference in systolic or diastolic blood pressure between the intervention and control groups compared to baseline (p>0.05). In the intervention group, total cholesterol and LDL cholesterol decreased by 5.6% and 7.4% respectively, while fasting glucose increased by 5.4% compared to baseline (p<0.05). There was no difference in HDL cholesterol, CRP or HbA1c levels (p>0.05). There was no difference in the levels of fasting blood glucose, total cholesterol, LDL cholesterol, HDL cholesterol, LDL: HDL, total cholesterol: HDL, CRP or HbA1c measured at the end of the study in participants in the control group (p>0.05). There was a 6.2%, 6.6% and 4.4% reduction in triglyceride, LDL: HDL and total cholesterol: HDL levels respectively in the intervention group, while a 5% increase in triglyceride levels was observed in the control group compared to baseline, but the difference was not statistically significant in either group (p>0.05).
Table 4
Comparison of pre-intervention and post-intervention blood parameters and blood pressure measurements of the intervention and control groups. Samsun, Turkey, 2021.
The antioxidant profile of cocoa and the nutrients it contains may reduce the risk of cardiovascular disease. The association of cocoa with cardiovascular disease is generally linked to the modification of the blood lipid profile by the bioactive compounds in the composition of cocoa [1414 Martin MÁ, Ramos S. Impact of cocoa flavanols on human health. Food Chem Toxicol. 2021;151:112121. https://doi.org/10.1016/j.fct.2021.112121
https://doi.org/10.1016/j.fct.2021.11212... ]. In this study, the consumption of dark chocolate leads to a significant reduction of 5.6% in total cholesterol and 7.4% in LDL cholesterol, while the reduction in triglycerides is not statistically significant. However, there was no effect on HDL cholesterol (Table 4). In a 6-month study of 84 young and healthy subjects, total cholesterol, LDL cholesterol and triglyceride levels were reduced by 9.1%, 22.4% and 32.9%, respectively, after consumption of dark chocolate (2 g/day, 70% cocoa) compared with baseline [1515 Leyva-Soto A, Chavez-Santoscoy RA, Lara-Jacobo LR, Chavez-Santoscoy AV, Gonzalez-Cobian LN. Daily consumption of chocolate rich in flavonoids decreases cellular genotoxicity and improves biochemical parameters of lipid and glucose metabolism. Molecules. 2018;23(9):2220. https://doi.org/10.3390/molecules23092220
https://doi.org/10.3390/molecules2309222... ]. In a meta-analysis of ten clinical trials, dark chocolate/cocoa consumption was associated with a reduction in both LDL and total cholesterol (-5.90mg/dl and -6.23mg/dl, respectively; p<0.05). The same study also reported a statistically insignificant reduction in triglyceride and HDL levels (-5.06mg/dl, -0.76mg/dl; p>0.05) [1616 Tokede OA, Gaziano JM, Djoussé L. Effects of cocoa products/dark chocolate on serum lipids: A meta-analysis. Eur J Clin Nutr. 2011;65(8):879-86. https://doi.org/10.1038/ejcn.2011.64
https://doi.org/10.1038/ejcn.2011.64... ]. Regarding HDL and triglyceride levels, studies have shown that the decrease is greater when the study duration is >4 weeks and the BMI of the participants is above >30kg/m² [1717 Darand M, Hajizadeh Oghaz M, Hadi A, Atefi M, Amani R. The effect of cocoa/dark chocolate consumption on lipid profile, glycemia, and blood pressure in diabetic patients: A meta‐analysis of observational studies. Phytother Res. 2021;35(10):5487-501. https://doi.org/10.1002/ptr.7183
https://doi.org/10.1002/ptr.7183... ,1818 Lin X, Zhang I, Li A, Manson JE, Sesso HD, Wang L, et al. Cocoa flavanol intake and biomarkers for cardiometabolic health: A systematic review and meta-analysis of randomized controlled trials. J Nutr. 2016;146(11):2325-33. https://doi.org/10.3945/jn.116.237644
https://doi.org/10.3945/jn.116.237644... ]. Thus, the duration (4 weeks) and small sample size of this study may be among the reasons for the lack of significant effects on HDL and triglycerides.
Cocoa flavanols have been suggested to improve blood lipid profile in a dose-dependent manner [1919 Salaish KS, Jalil AM, Hussin N, Daud ZA, Ismail A. Effects of flavanols and procyanidins-rich cocoa consumption on metabolic syndrome: An update review (2013-2023). Biosc Biotechnol Biochem. 2024;88(4):352-60. https://doi.org/10.1093/bbb/zbae011
https://doi.org/10.1093/bbb/zbae011... ]. A 4-week study was conducted with healthy subjects to evaluate the effect of cocoa with different flavanol content on blood lipid profile. It was found that consumption of 220mg/day of cocoa flavanols increased HDL cholesterol by 3.37mg/dl compared to baseline, while decreasing total cholesterol by 12.37mg/dl, triglycerides by 3.81mg/dl, and LDL cholesterol by 14.98mg/dl [2020 Davinelli S, Corbi G, Zarrelli A, Arisi M, Calzavara-Pinton P, Grassi D, et al. Short-term supplementation with flavanol-rich cocoa improves lipid profile, antioxidant status and positively influences the AA/EPA ratio in healthy subjects. J Nutr Biochem. 2018;61:33-9. https://doi.org/10.1016/j.jnutbio.2018.07.01.
https://doi.org/10.1016/j.jnutbio.2018.0... ]. A meta-analysis of cocoa flavanols conducted by Lin et al. [2121 Lin X, Zhang I, Li A, Manson JE, Sesso HD, Wang L, et al. Cocoa flavanol intake and biomarkers for cardiometabolic health: A systematic review and meta-analysis of randomized controlled trials. J Nutr. 2016;146(11):2325-33. https://doi.org/10.3945/jn.116.237644
https://doi.org/10.3945/jn.116.237644... ] found that <200mg/day of flavanol and ≥200 and <600mg/day of flavanol had significant effects on increasing HDL cholesterol levels, while >600mg/day of flavanol only decreased triglyceride levels. A recent review of seven randomized controlled trials (an updated review) reported that cocoa-based products containing 0.3-480mg of flavanol monomer generally had a beneficial effect on blood lipid profiles [1919 Salaish KS, Jalil AM, Hussin N, Daud ZA, Ismail A. Effects of flavanols and procyanidins-rich cocoa consumption on metabolic syndrome: An update review (2013-2023). Biosc Biotechnol Biochem. 2024;88(4):352-60. https://doi.org/10.1093/bbb/zbae011
https://doi.org/10.1093/bbb/zbae011... ]. The moderate range of cocoa flavanols from dark chocolate used in this study (400mg/day) supports the positive results on blood lipid profiles. In general, the optimal dose of cocoa flavanols for blood lipid profiles is not yet known and there are conflicting results; further studies are needed to clarify this situation. Another meta-analysis study by Tokede et al. [1616 Tokede OA, Gaziano JM, Djoussé L. Effects of cocoa products/dark chocolate on serum lipids: A meta-analysis. Eur J Clin Nutr. 2011;65(8):879-86. https://doi.org/10.1038/ejcn.2011.64
https://doi.org/10.1038/ejcn.2011.64... ] found that cocoa products containing <500mg/day of flavanols were associated with a decrease in LDL cholesterol of -7.82mg/dl, and the same study showed that this decrease may be greater with higher polyphenol intakes (≥500mg/day of flavanol). The fact that the cocoa flavanol in the dark chocolate used in this study was <500mg/day supports the beneficial effects on the blood lipid profile, but as stated in the above study, further reductions would have been expected if a higher polyphenol content had been used.
Cocoa butter, a fat derived from cocoa plants and found primarily in dark chocolate [2222 Kris-Etherton PM, Mustad V, Derr J. Effects of dietary stearic acid on plasma lipids and thrombosis. Nutr Today. 1993;28(3):30-8. https://doi.org/10.1097/00017285-199305000-00006 22 Kris-Etherton PM, Mustad V, Derr J. Effects of dietary stearic acid on plasma lipids and thrombosis. Nutr Today. 1993;28(3):30-8. https://doi.org/10.1097/00017285-199305000-00006 23 U.S. Department of Agriculture. FoodData Central. Chocolate, dark, 70-85% cacao solids. United States: USDA; 2019 [cited 2021 Apr 17]. Available from: https://fdc.nal.usda.gov/fdc-app.html#/food-details/170273/nutrients. 24 Ding EL, Hutfless SM, Ding X, Girotra S. Chocolate and prevention of cardiovascular disease: A systematic review. Nutr Metab (Lond). 2006;3(2):1-12. https://doi.org/10.1186/1743-7075-3-2 25 Mensink RP, Zock PL, Kester AD, Katan MB. Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: A meta-analysis of 60 controlled trials. Am J Clin Nutr. 2003;77(5):1146-55. https://doi.org/10.1093/ajcn/77.5.1146
https://doi.org/10.1097/00017285-1993050... ], contains an average of 33% oleic acid (cis-18:1 monounsaturated), 25% palmitic acid (16:0 saturated), and 33% stearic acid [2323 U.S. Department of Agriculture. FoodData Central. Chocolate, dark, 70-85% cacao solids. United States: USDA; 2019 [cited 2021 Apr 17]. Available from: https://fdc.nal.usda.gov/fdc-app.html#/food-details/170273/nutrients.
https://fdc.nal.usda.gov/fdc-app.html#/f... ]. Chocolate consumption has often been hypothesized to reduce the risk of cardiovascular disease due to chocolate’s high levels of stearic acid and antioxidant flavonoids. While chocolate has sometimes been criticized for its saturated fat content, mostly in the form of long-chain stearic acid, chocolate has also been praised for its antioxidant potential. Saturated fat has long been thought to contribute to atherosclerosis and thus be detrimental to CVD risk. However, stearic acid has been suggested to be a non-atherogenic form of dietary saturated fat [2424 Ding EL, Hutfless SM, Ding X, Girotra S. Chocolate and prevention of cardiovascular disease: A systematic review. Nutr Metab (Lond). 2006;3(2):1-12. https://doi.org/10.1186/1743-7075-3-2
https://doi.org/10.1186/1743-7075-3-2... ]. This has been confirmed in a number of studies and in a meta-analysis of 60 controlled feeding trials, which concluded that stearic acid does not lower HDL or increase LDL or total cholesterol [2525 Mensink RP, Zock PL, Kester AD, Katan MB. Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: A meta-analysis of 60 controlled trials. Am J Clin Nutr. 2003;77(5):1146-55. https://doi.org/10.1093/ajcn/77.5.1146
https://doi.org/10.1093/ajcn/77.5.1146... ,2626 Kris-Etherton PM, Yu S. Individual fatty acid effects on plasma lipids and lipoproteins: Human studies. Am J Clin Nutr. 1997:65(5 Suppl):1628S-44S. https://doi.org/10.1093/ajcn/65.5.1628S
https://doi.org/10.1093/ajcn/65.5.1628S... ]. In conclusion, given that the vast majority of studies show that stearic acid has beneficial or neutral effects on blood pressure and coagulation parameters, it seems unlikely that stearic acid intake would adversely affect CVD risk via these risk factors [2121 Lin X, Zhang I, Li A, Manson JE, Sesso HD, Wang L, et al. Cocoa flavanol intake and biomarkers for cardiometabolic health: A systematic review and meta-analysis of randomized controlled trials. J Nutr. 2016;146(11):2325-33. https://doi.org/10.3945/jn.116.237644
https://doi.org/10.3945/jn.116.237644...
https://doi.org/10.1097/00017285-1993050...
https://fdc.nal.usda.gov/fdc-app.html#/f...
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https://doi.org/10.1093/ajcn/77.5.1146...
https://doi.org/10.1093/ajcn/65.5.1628S... ].
A cohort study by Kiriyama et al. [2727 Kiriyama H, Kaneko H, Itoh H, Kamon T, Mizuno Y, Fujiu K, et al. Association between changes in body weight and lipid profile in the general population: A community-based cohort study. Eur Heart J Qual Care Clin Outcomes. 2021;7(1):109-10. https://doi.org/10.1093/ehjqcco/qcaa017 31 Osuna-Prieto FJ, Martinez-Tellez B, Segura-Carretero A, Ruiz JR. Activation of brown adipose tissue and promotion of white adipose tissue browning by plant-based dietary components in rodents: A systematic review. Adv Nutr. 2021;12(6):2147-56. https://doi.org/10.1093/advances/nmab084
https://doi.org/10.1093/ehjqcco/qcaa017... ] found that weight loss improves the blood lipid profile in non-obese individuals, with a reduction in blood lipids being expected in direct proportion to weight loss. A systematic review and meta-analysis of 83 studies found that a 5-10% reduction in body weight proportionally reduced LDL cholesterol by 16.4mg/dl, total cholesterol by 25.9mg/dl and triglycerides by 6.5mg/dl [2828 Zomer E, Gurusamy K, Leach R, Trimmer C, Lobstein T, Morris S, et al. Interventions that cause weight loss and the impact on cardiovascular risk factors: A systematic review and meta-analysis. Obes Rev. 2016;17(10):1001-11. https://doi.org/10.1111/obr.12433
https://doi.org/10.1111/obr.12433... ]. In this study, there was a 0.9% reduction in body weight in the intervention group compared to baseline, and a 5.6% and 7.4% reduction in total and LDL cholesterol, respectively. There was no statistically significant change in body weight or cholesterol levels in the control group. A meta-analysis study found that the consumption of dark chocolate >30g/day for 4-8 weeks was associated with a reduction in BMI. There was a non-linear decrease in waist circumference with consumption of 40-60g/day [2929 Kord-Varkaneh H, Ghaedi E, Nazary-Vanani A, Mohammadi H, Shab-Bidar S. Does cocoa/dark chocolate supplementation have favorable effect on body weight, body mass index and waist circumference? A systematic review, meta-analysis and dose-response of randomized clinical trials. Crit Rev Food Sci Nutr. 2018;59(15):2349-62. https://doi.org/10.1080/10408398.2018.1451820
https://doi.org/10.1080/10408398.2018.14... ]. Therefore, it can be assumed that dark chocolate consumption has beneficial effects on the blood lipid profile independent of body weight control. In addition, some studies have reported beneficial effects of cocoa products on adipose tissue [3030 Matsui N, Ito R, Nishimura E, Yoshikawa M, Kato M, Shibata H, et al. Ingested cocoa can prevent high-fat diet-induced obesity by regulating the expression of genes for fatty acid metabolism. Nutrition. 2005;21(5):594-601. https://doi.org/10.1016/j.nut.2004.10.008
https://doi.org/10.1016/j.nut.2004.10.00...
https://doi.org/10.1093/advances/nmab084...
https://doi.org/10.3390/nu12103011... ]. Although a detailed analysis of adiponectin levels and other markers was not performed in this study, it is predicted that cocoa polyphenols have beneficial effects on white adipose tissue.
One study found that cocoa butter had no effect on postprandial plasma CRP levels [3333 Tholstrup T, Teng KT, Raff M. Dietary cocoa butter or refined olive oil does not alter postprandial hsCRP and IL-6 concentrations in healthy women. Lipids. 2011;46:365-70. https://doi.org/10.1007/s11745-011-3526-4
https://doi.org/10.1007/s11745-011-3526-... ]. In contrast, another study reported that three types of cocoa powder containing 180mg, 400 mg and 900 mg flavanols reduced CRP levels with a linear dose-response compared to a drink containing 30 mg flavanol [3434 Stote KS, Clevidence BA, Novotny JA, Henderson T, Radecki SV, Baer DJ. Effect of cocoa and green tea on biomarkers of glucose regulation, oxidative stress, inflammation and hemostasis in obese adults at risk for insulin resistance. Eur J Clin Nutr. 2012; 66(10):1153-9. https://doi.org/10.1038/ejcn.2012.101
https://doi.org/10.1038/ejcn.2012.101... ]. In general, the anti-inflammatory effect of cocoa is related to the dose and dietary matrix of cocoa flavanols. It has been noted that the bioavailability of flavanols is higher when cocoa powder is used instead of chocolate and does not contain milk protein. In addition, the BMI, health status and degree of inflammation of the people in the study may also influence the results [3535 Ellinger S, Stehle P. Impact of cocoa consumption on inflammation processes: A critical review of randomized controlled trials. Nutrients. 2016;8(6):321. https://doi.org/10.3390/nu8060321
https://doi.org/10.3390/nu8060321... ]. The reason why there was no significant change in CRP levels in this study may be related to the limited study period, the small sample size, the food matrix of chocolate and the flavanol dose.
Dark chocolate helps stabilise blood glucose levels by slowing the digestion and absorption of carbohydrates [3636 Hernández-González T, González-Barrio R, Escobar C, Madrid JA, Periago MJ, Colado MC, et al. Timing of chocolate intake affects hunger, substrate oxidation, and microbiota: A randomized controlled trial. FASEB J. 2021;35(7):e21649. https://doi.org/10.1096/fj.202002770RR
https://doi.org/10.1096/fj.202002770RR... ]. In a study of diabetics and hypertensives, consumption of dark chocolate (25 g/day) significantly reduced HbA1c and fasting glucose levels after 8 weeks compared with white chocolate [3737 Rostami A, Khalili M, Haghighat N, Eghtesadi S, Shidfar F, Heidari I, et al. High-cocoa polyphenol-rich chocolate improves blood pressure in patients with diabetes and hypertension. ARYA Atheroscler. 2015;11(1):21-9.]. In an 8-week study with elderly subjects, blood glucose levels were reduced by 11% and 9.4%, respectively, in subjects consuming cocoa powder containing high flavanols (993mg/day) and medium flavanols (520mg/day) [3838 Mastroiacovo D, Kwik-Uribe C, Grassi D, Necozione S, Raffaele A, Pistacchio L, et al. Cocoa flavanol consumption improves cognitive function, blood pressure control, and metabolic profile in elderly subjects: the Cocoa, Cognition, and Aging (CoCoA) Study: A randomized controlled trial. Am J Clin Nutr. 2015;101(3):538-48. https://doi.org/10.3945/ajcn.114.092189
https://doi.org/10.3945/ajcn.114.092189... ]. The results of this study contradict the above studies. The reason for this is that in similar studies, the sample was usually made up of people at cardiovascular risk, while the control group was given chocolate with a high sugar content, such as milk/white chocolate, and the intervention group was given sugar-free, low-fat cocoa powder, which may have indirectly led to a reduction in fasting blood glucose levels. In addition, the effect of a high-sugar product such as milk chocolate on blood glucose depends on the timing of the meal. In a 4-week study on the timing of chocolate consumption by Hernández-González et al. [3636 Hernández-González T, González-Barrio R, Escobar C, Madrid JA, Periago MJ, Colado MC, et al. Timing of chocolate intake affects hunger, substrate oxidation, and microbiota: A randomized controlled trial. FASEB J. 2021;35(7):e21649. https://doi.org/10.1096/fj.202002770RR
https://doi.org/10.1096/fj.202002770RR... ], consumption of milk chocolate (100g/day) in the morning (within 1 hour of waking up) resulted in a 4.4% decrease in fasting blood glucose, whereas consumption (100g/day) in the evening/night (1 hour before going to bed) showed a significant increase of 4.9%. The people in this study consumed dark chocolate at lunchtime and in the afternoon. In this case, it can be assumed that there is a possibility that blood glucose levels have increased in relation to the time of meal consumption. On the other hand, it can be predicted that the flavanols in the dark chocolate used in this study were not in a sufficient amount to prevent the effect of fat and sugar content on blood glucose levels.
It is stated that cocoa components generally increase Nitric Oxide (NO) production and support vascular vasodilation, which has a beneficial effect on blood pressure [3939 Garcia JP, Santana A, Baruqui DL, Suraci N. The cardiovascular effects of chocolate. Rev Cardiovasc Med. 2018;19(4):123-7. https://doi.org/10.31083/j.rcm.2018.04.3187
https://doi.org/10.31083/j.rcm.2018.04.3... ]. At the end of this study, although a decrease in dark chocolate consumption and SBP and DBP was observed in the intervention group, it was not considered statistically significant (Table 4). Similar results have been reported in other studies [88 Christen T, Nagale S, Reinitz S, Narayanan S, Roy K, Allocco DJ, et al. Using digital health technology to evaluate the impact of chocolate on blood pressure: Results from the COCOA-BP study. Cardiovasc Digit Health J. 2020;1(2):89-96. https://doi.org/10.1016/j.cvdhj.2020.08.002
https://doi.org/10.1016/j.cvdhj.2020.08.... ,4040 Garcia-Yu IA, Garcia-Ortiz L, Gomez-Marcos MA, Rodriguez-Sanchez E, Agudo-Conde C, Gonzalez-Sanchez J, et al. Effects of cocoa-rich chocolate on blood pressure, cardiovascular risk factors, and arterial stiffness in postmenopausal women: A randomized clinical trial. Nutrients. 2020;12(6):1758. https://doi.org/10.3390/nu12061758
https://doi.org/10.3390/nu12061758... ,4141 Shrime MG, Bauer SR, McDonald AC, Chowdhury NH, Coltart CE, Ding EL. Flavonoid-rich cocoa consumption affects multiple cardiovascular risk factors in a meta-analysis of short-term studies. J Nutr. 2011;141(11):1982-8. https://doi.org/10.3945/jn.111.145482
https://doi.org/10.3945/jn.111.145482... ]. However, the magnitude of the effect on blood pressure (-1.59mmHg for SBP; -0.88mmHg for DBP) is generally smaller when comparing these studies with the present data. This may be related to the duration of the study, the composition of healthy subjects, and the nutrient matrix. Studies comparing cocoa and white/milk chocolate have shown that the effect of cocoa on blood pressure is greater than that of white/milk chocolate [4242 Taubert D, Roesen R, Lehmann C, Jung N, Schömig E. Effects of low habitual cocoa intake on blood pressure and bioactive nitric oxide: a randomized controlled trial. JAMA. 2007;298(1):49-60. https://doi.org/10.1001/jama.298.1.49
https://doi.org/10.1001/jama.298.1.49... ,4343 Grassi D, Desideri G, Necozione S, Lippi C, Casale R, Properzi G, et al. Blood pressure is reduced and insulin sensitivity increased in glucose-intolerant, hypertensive subjects after 15 days of consuming high-polyphenol dark chocolate. J Nutr. 2008;138(9):1671-6. https://doi.org/10.1093/jn/138.9.1671
https://doi.org/10.1093/jn/138.9.1671... ]. This may be due to the high sugar content of milk and white chocolate and has been linked to the fact that milk protein reduces the absorption of epicatechin, one of the cocoa flavanols, by binding to it and negatively affecting its antihypertensive effect [4444 Wang Y, Feltham BA, Suh M, Jones PJ. Cocoa flavanols and blood pressure reduction: is there enough evidence to support a health claim in the United States? Trends Food Sci Technol. 2019;83:203-10. https://doi.org/10.1016/j.tifs.2018.11.023
https://doi.org/10.1016/j.tifs.2018.11.0... ,4545 Serafini M, Bugianesi R, Maiani G, Valtuena S, De Santis S, Crozier A. Plasma antioxidants from chocolate. Nature. 2003;424(6952):1013. https://doi.org/10.1038/4241013a
https://doi.org/10.1038/4241013a... ]. On the contrary, results suggest that there is no interaction between milk protein and epicatechin [4646 Neilson AP, George JC, Janle EM, Mattes RD, Rudolph R, Matusheski NV, et al. Influence of chocolate matrix composition on cocoa flavan-3-ol bioaccessibility in vitro and bioavailability in humans. J Agric Food Chem. 2009;57(20):9418-26. https://doi.org/10.1021/jf902919k
https://doi.org/10.1021/jf902919k... ,4747 Keogh JB, Mclnerney J, Clifton PM. The effect of milk protein on the bioavailability of cocoa polyphenols. J Food Sci. 2007;72(3):S230-3. https://doi.org/10.1111/j.1750-3841.2007.00314.x
https://doi.org/10.1111/j.1750-3841.2007... ]. The fact that the study included a control group that did not consume chocolate may be related to the small effect size. However, the lack of information on the amount of epicatechin is one of the limitations of the study and is insufficient to explain the reason for this situation. In addition, the fact that blood pressure is a dynamic measure and responds to many physical or emotional stimuli is a factor that can suppress the detection of differences in measurement results [88 Christen T, Nagale S, Reinitz S, Narayanan S, Roy K, Allocco DJ, et al. Using digital health technology to evaluate the impact of chocolate on blood pressure: Results from the COCOA-BP study. Cardiovasc Digit Health J. 2020;1(2):89-96. https://doi.org/10.1016/j.cvdhj.2020.08.002
https://doi.org/10.1016/j.cvdhj.2020.08.... ].
The study has several limitations. Firstly, the vast majority of people who took part in the study were men. Therefore, the results of the study can only apply to male individuals and cannot be generalized to female ones. In addition, the sample size was small and the study period of 4 weeks may not be long enough for the relevant parameters to change. In addition, the nutritional content of chocolate was evaluated using only the nutritional information on the label, and there was no information on micronutrients or other components, such as epicatechin and procyanidin, which may influence the study results. In addition, the amount of flavanols ingested from foods other than dark chocolate is not known, and individuals’ flavanol intake was not controlled or measured in this way. Therefore, it may not be sufficient to attribute changes in total cholesterol, LDL cholesterol and fasting blood glucose levels to cocoa flavanols alone.
In healthy individuals, consumption of 36 g/day (400mg flavanol) for 4 weeks has a beneficial effect on serum lipid profile while, contrary to expectations, it increases fasting blood glucose. Thus, cocoa consumption as a dietary intervention has a possible role in reducing the risk of cardiovascular disease as an age-related lifestyle disease. To determine the effect of cocoa on cardiovascular health, it is important to focus on the mechanisms of action, the nutritional components associated with this effect and the determination of optimal doses of these components. The effects of cocoa products on cardiovascular health vary depending on the sample size, the amount of flavanols and other bioactive components they contain. In this direction, future research should be planned, taking into account the general characteristics of the population and the nutritional components of cocoa products, and should have a longer-term and larger samples.
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Article based on the master dissertation of K KÜÇÜKYILMAZ, entitled “Evaluation of the effect of dark chocolate consumption on blood pressure and blood parameters in healthy individual”. Eastern Mediterranean University; 2021.
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How to cite this article: Küçükyilmaz K, Okburan G, Gezer C. The effect of polyphenol-rich dark chocolate on serum lipids in healthy subjects. Rev Nutr. 2024;37:e230073. https://doi.org/10.1590/1678-9865202437e230073
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Hernández-González T, González-Barrio R, Escobar C, Madrid JA, Periago MJ, Colado MC, et al. Timing of chocolate intake affects hunger, substrate oxidation, and microbiota: A randomized controlled trial. FASEB J. 2021;35(7):e21649. https://doi.org/10.1096/fj.202002770RR
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Mastroiacovo D, Kwik-Uribe C, Grassi D, Necozione S, Raffaele A, Pistacchio L, et al. Cocoa flavanol consumption improves cognitive function, blood pressure control, and metabolic profile in elderly subjects: the Cocoa, Cognition, and Aging (CoCoA) Study: A randomized controlled trial. Am J Clin Nutr. 2015;101(3):538-48. https://doi.org/10.3945/ajcn.114.092189
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Editors
Anderson Marliere Navarro, Carla Cristina Enes
- Publication in this collection
22Nov2024 - Date of issue
2024
- Received
26Apr2024 - Reviewed
17Sept2024 - Accepted
16Oct2024
Authorship
Kübra Küçükyilmaz
Conceptualization
Investigation
Data curation
Methodology
Writing−original draft
Writing−review and editing
Eastern Mediterranean University, Faculty of Health Sciences, Department of Nutrition and Dietetics. Famagusta, Cyprus, Turkey.
Gözde Okburan Correspondence to: G OKBURAN. E-mail: gozde.okburan@emu.edu.tr.
Conceptualization
Data curation
Methodology
Writing−original draft
Writing−review and editing
Eastern Mediterranean University, Faculty of Health Sciences, Department of Nutrition and Dietetics. Famagusta, Cyprus, Turkey.
- Correspondence to: G OKBURAN. E-mail: gozde.okburan@emu.edu.tr.
-
Editors
Anderson Marliere Navarro, Carla Cristina Enes
-
Conflict of interest
The authors declare that there is no conflict of interests.
Figures | Tables
- Figures (1)
- Tables (4)
Figure 1
Flowchart of the subject for the study. Samsun, Turkey, 2021.
Table 1
Nutritional content of the research chocolate.
Table 2
Comparison of pre-intervention and post-intervention anthropometric and energy expenditure, Physical Activity Level and Basal Metabolic Rate of the intervention and control groups. Samsun, Turkey, 2021.
Table 3
Comparison of pre-intervention and post-intervention energy and macronutrient intake of the intervention and control groups. Samsun, Turkey, 2021.
Table 4
Comparison of pre-intervention and post-intervention blood parameters and blood pressure measurements of the intervention and control groups. Samsun, Turkey, 2021.
Figure 1 Flowchart of the subject for the study. Samsun, Turkey, 2021.
Table 1 Nutritional content of the research chocolate.
Research Chocolate | 100 grams | 36 grams |
---|---|---|
Energy (kj/kcal) | 2,475 / 597 | 891/214.9 |
Carbohydrates (g) | 32.6 | 11.7 |
Protein (g) | 8.9 | 3.2 |
Fat (g) | 45.9 | 16.5 |
Saturated Fat (g) | 29.2 | 10.5 |
Fiber (g) | 9 | 3.2 |
Sugar (g) | 12.1 | 4.4 |
Flavanol (mg) | 1,111.1 | 400 |
Table 2 Comparison of pre-intervention and post-intervention anthropometric and energy expenditure, Physical Activity Level and Basal Metabolic Rate of the intervention and control groups. Samsun, Turkey, 2021.
Group | Pre-Intervention | Post-Intervention | Z | p 3 3 Comparison of intra-group pre-intervention and post-intervention results. | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
χ | s | Z | p 1 1 Comparison of pre-intervention results between groups, | χ | s | Z | p 2 2 Comparison of post-intervention results between groups, | |||||
Body Weight (kg) | ||||||||||||
Intervention (n:17) | 79.1 | 12.83 | -0.274 | 0.80 | 78.4 | 12.38 | -0.472 | 0.64 | -2.018 | 0.04* * p<0.05 significant. | ||
Control (n:20) | 81.1 | 12.64 | 80.8 | 11.55 | -0.542 | 0.59 | ||||||
Height (cm) | ||||||||||||
Intervention (n:17) | 177.4 | 5.41 | -0.519 | 0.60 | 177.4 | 5,41 | -0.519 | 0.60 | 0.000 | 1.00 | ||
Control (n:20) | 176.0 | 6.36 | 176.0 | 6.36 | 0.000 | 1.00 | ||||||
BMI (kg/m2) | ||||||||||||
Intervention (n:17) | 25.1 | 3.08 | -1.021 | 0.31 | 24.8 | 2.96 | -1.281 | 0.21 | -1.994 | 0.05* * p<0.05 significant. | ||
Control (n:20) | 26.1 | 3.37 | 26.0 | 3.04 | -0.464 | 0.64 | ||||||
Body Fat Percentage (%) | ||||||||||||
Intervention (n:17) | 20.3 | 4.48 | -0.716 | 0.47 | 20.1 | 4.64 | -1.280 | 0.20 | -0.402 | 0.69 | ||
Control (n:20) | 21.3 | 4.32 | 22.1 | 3.87 | -1.631 | 0.10 | ||||||
Body Muscle Mass (kg) | ||||||||||||
Intervention (n:17) | 59.7 | 9.64 | -0.244 | 0.81 | 60.5 | 9.87 | -0.472 | 0.64 | -0.095 | 0.93 | ||
Control (n:20) | 60.7 | 9.23 | 59.8 | 8.49 | -2.017 | 0.04* * p<0.05 significant. | ||||||
Waist Circumference (cm) | ||||||||||||
Intervention (n:17) | 89.5 | 11.97 | -1.084 | 0.28 | 88.5 | 10.67 | -1.297 | 0.20 | -1.390 | 0.17 | ||
Control (n:20) | 93.2 | 10.89 | 93.2 | 11.32 | -0.073 | 0.94 | ||||||
Hip Circumference (cm) | ||||||||||||
Intervention (n:17) | 104.8 | 5.44 | -0.687 | 0.49 | 104.2 | 5.82 | -0.794 | 0.43 | -1.021 | 0.31 | ||
Control (n:20) | 106.2 | 5.21 | 106.2 | 5.32 | -0.249 | 0.80 | ||||||
Waist/ Hip Ratio | ||||||||||||
Intervention (n:17) | 0.9 | 0.09 | -0.611 | 0.54 | 0.8 | 0.08 | -0.886 | 0.38 | -0.738 | 0.46 | ||
Control (n:20) | 0.9 | 0.07 | 0.9 | 0.08 | -0.063 | 0.95 | ||||||
Energy Expenditure (kcal/day) | ||||||||||||
Intervention (n:17) | 2.758.8 | 490.42 | -0.396 | 0.69 | 2.725.7 | 501.77 | -0.152 | 0.88 | -0.450 | 0.65 | ||
Control (n:20) | 2.738.3 | 408.92 | 2.708.9 | 358.97 | -0.933 | 0.35 | ||||||
PAL | ||||||||||||
Intervention (n:17) | 1.5 | 0.17 | -0.320 | 0.75 | 1.51 | 0.18 | -0.076 | 0.94 | -0.057 | 0.96 | ||
Control (n:20) | 1.5 | 0.14 | 1.48 | 0.13 | -0.349 | 0.73 | ||||||
BMR (kcal/day) | ||||||||||||
Intervention (n:17) | 1.812.5 | 222.81 | -0.305 | 0.76 | 1.803.0 | 217.50 | -0.457 | 0.65 | -2.036 | 0.04* * p<0.05 significant. | ||
Control (n:20) | 1.836.4 | 207.19 | 1.827.9 | 191.93 | -1.083 | 0.28 |
-
Note:
- *
p<0.05 significant.
-
p
- 1
Comparison of pre-intervention results between groups,
-
p
- 2
Comparison of post-intervention results between groups,
-
p
- 3
Comparison of intra-group pre-intervention and post-intervention results.
-
BMI: Body Mass Index; BMR: Basal Metabolic Rate; PAL: Physical Activity Levels.
Table 3 Comparison of pre-intervention and post-intervention energy and macronutrient intake of the intervention and control groups. Samsun, Turkey, 2021.
Group | Pre-Intervention | Post-Intervention | Z | p 3 3 Comparison of intra-group pre-intervention and post-intervention results. | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
χ | s | Z | p 1 1 Comparison of pre-intervention results between groups, | χ | s | Z | p 2 2 Comparison of post-intervention results between groups, | |||||
Energy (kcal) | ||||||||||||
Intervention (n:17) | 2140.9 | 376.41 | -0.152 | 0.88 | 2.143.7 | 368.40 | -0.030 | 0.98 | -0.544 | 0.59 | ||
Control (n:20) | 2104.1 | 337.60 | 2.112.0 | 380.23 | -0.261 | 0.79 | ||||||
Protein (g) | ||||||||||||
Intervention (n:17) | 86.1 | 19.55 | -1.097 | 0.27 | 80.9 | 13.99 | -0.518 | 0.60 | -1.065 | 0.29 | ||
Control (n:20) | 78.3 | 20.21 | 83.9 | 18.65 | -1.344 | 0.18 | ||||||
Protein (%) | ||||||||||||
Intervention (n:17) | 16.7 | 3.12 | -1.505 | 0.13 | 15.4 | 1.77 | -1.731 | 0.08 | -1.507 | 0.13 | ||
Control (n:20) | 15.2 | 2.81 | 16.3 | 1.65 | -1.576 | 0.12 | ||||||
Fat (g) | ||||||||||||
Intervention (n:17) | 104.2 | 13.88 | -1.051 | 0.29 | 110.8 | 22.18 | -1.631 | 0.10 | -1.302 | 0.19 | ||
Control (n:20) | 100.6 | 20.65 | 99.7 | 17.90 | -0.747 | 0.46 | ||||||
Fat (%) | ||||||||||||
Intervention (n:17) | 43.9 | 5.45 | -0.794 | 0.43 | 46.4 | 9.51 | -2.031 | 0.04* * p<0.05 significant. | -1.447 | 0.15 | ||
Control (n:20) | 42.7 | 6.52 | 42.2 | 4.81 | -0.492 | 0.62 | ||||||
Saturated fatty acid (g) | ||||||||||||
Intervention (n:17) | 34.9 | 6.21 | -2.301 | 0.02* * p<0.05 significant. | 42.3 | 11.55 | -2.804 | 0.01* * p<0.05 significant. | -2.296 | 0.02* * p<0.05 significant. | ||
Control (n:20) | 29.6 | 9.71 | 31.8 | 7.67 | -1.661 | 0.10 | ||||||
Cholesterol (mg) | ||||||||||||
Intervention (n:17) | 361.5 | 129.80 | -1.036 | 0.30 | 310.9 | 130.86 | -0.213 | 0.83 | -1.160 | 0.25 | ||
Control (n:20) | 315.7 | 102.73 | 329.1 | 132.16 | -0.523 | 0.60 | ||||||
Carbohydrate (g) | ||||||||||||
Intervention (n:17) | 211.1 | 65.33 | -0.701 | 0.48 | 206.7 | 73.46 | -0.640 | 0.52 | -0.355 | 0.72 | ||
Control (n:20) | 218.0 | 52.14 | 214.8 | 52.30 | -0.112 | 0.91 | ||||||
Carbohydrate (%) | ||||||||||||
Intervention (n:17) | 39.6 | 6.28 | -1.133 | 0.26 | 38.4 | 9.52 | -1.587 | 0.11 | -0.571 | 0.57 | ||
Control (n:20) | 42.2 | 6.81 | 41.4 | 4.73 | -0.565 | 0.57 | ||||||
Fiber (g) | ||||||||||||
Intervention (n:17) | 21.5 | 6.81 | -1.951 | 0.05 | 23.9 | 6.65 | -0.701 | 0.48 | -2.012 | 0.04* * p<0.05 significant. | ||
Control (n:20) | 24.1 | 4.75 | 23.2 | 7.20 | -1.494 | 0.14 |
-
Note:
- *
p<0.05 significant.
-
p
- 1
Comparison of pre-intervention results between groups,
-
p
- 2
Comparison of post-intervention results between groups,
-
p
- 3
Comparison of intra-group pre-intervention and post-intervention results.
Table 4 Comparison of pre-intervention and post-intervention blood parameters and blood pressure measurements of the intervention and control groups. Samsun, Turkey, 2021.
Group | Pre-Intervention | Post-Intervention | Z | p 3 3 Comparison of intra-group pre-intervention and post-intervention results. | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
χ | s | Z | p 1 1 Comparison of pre-intervention results between groups, | χ | s | Z | p 2 2 Comparison of post-intervention results between groups, | |||||
Fasting Blood Glucose (mg/dl) | ||||||||||||
Intervention (n:17) | 90.9 | 5.65 | -0.397 | 0.69 | 95.9 | 8.42 | -1,405 | 0.16 | -2,089 | 0.04* * p<0.05 significant. | ||
Control (n:20) | 90.2 | 6.06 | 92.7 | 9.14 | -1,027 | 0.30 | ||||||
Total Cholesterol (mg/dl) | ||||||||||||
Intervention (n:17) | 178.2 | 16.85 | -2,240 | 0.03* * p<0.05 significant. | 168.1 | 18.43 | -0.030 | 0.98 | -2,296 | 0.02* * p<0.05 significant. | ||
Control (n:20) | 163.7 | 21.50 | 164.9 | 25.12 | -0.411 | 0.68 | ||||||
LDL Cholesterol (mg/dl) | ||||||||||||
Intervention (n:17) | 110.7 | 19.35 | -1,935 | 0.05 | 102.5 | 20.27 | -0.792 | 0.43 | -2,154 | 0.03* * p<0.05 significant. | ||
Control (n:20) | 93.8 | 23.68 | 94.3 | 25.75 | -0.560 | 0.58 | ||||||
HDL Cholesterol (mg/dl) | ||||||||||||
Intervention (n:17) | 47.1 | 6.87 | -1,006 | 0.32 | 46.4 | 6.04 | -0.564 | 0.57 | -0.640 | 0.52 | ||
Control (n:20) | 47.1 | 13.74 | 46.7 | 10.73 | -0.141 | 0.89 | ||||||
Triglyceride (mg/dl) | ||||||||||||
Intervention (n:17) | 102.2 | 32.75 | -0.839 | 0.40 | 95.9 | 36.13 | -1,815 | 0.07 | -1,065 | 0.29 | ||
Control (n:20) | 113.8 | 43.16 | 119.6 | 47.41 | -0.523 | 0.60 | ||||||
LDL:HDL | ||||||||||||
Intervention (n:17) | 2.4 | 0.63 | -1,051 | 0.29 | 2.3 | 0.59 | -0.274 | 0.78 | -1,913 | 0.06 | ||
Control (n:20) | 2.1 | 0.94 | 2.2 | 0.85 | -0.691 | 0.49 | ||||||
Total Cholesterol: HDL | ||||||||||||
Intervention (n:17) | 3.9 | 0.72 | -0.503 | 0.62 | 3.7 | 0.65 | -0.427 | 0.67 | -1,734 | 0.08 | ||
Control (n:20) | 3.7 | 1.03 | 4.0 | 1.77 | -0.672 | 0.50 | ||||||
CRP (mg/l) | ||||||||||||
Intervention (n:17) | 0.2 | 0.16 | -1,190 | 0.23 | 0.1 | 0.17 | -0.641 | 0.52 | -1,508 | 0.13 | ||
Control (n:20) | 0.1 | 0.13 | 0.1 | 0.10 | -1,131 | 0.26 | ||||||
HbA1c (%) | ||||||||||||
Intervention (n:17) | 5.1 | 0.35 | -0.506 | 0.61 | 5.1 | 0.39 | -0.509 | 0.61 | -0.635 | 0.53 | ||
Control (n:20) | 5.0 | 0.37 | 5.0 | 0.23 | -0.631 | 0.53 | ||||||
Systolic Blood Pressure (mmHg) | ||||||||||||
Intervention (n:17) | 122.4 | 10.35 | -0.885 | 0.38 | 120.8 | 9.83 | -1,655 | 0.10 | -1,062 | 0.29 | ||
Control (n:20) | 126.7 | 7.60 | 126.2 | 7.71 | -0.505 | 0.61 | ||||||
Diastolic Blood Pressure (mmHg) | ||||||||||||
Intervention (n:17) | 78.1 | 6.34 | -0.702 | 0.48 | 77.2 | 5.39 | -0.504 | 0.61 | -0.783 | 0.43 | ||
Control (n:20) | 76.8 | 6.58 | 78.1 | 7.23 | -1,106 | 0.27 |
-
Note:
- *
p<0.05 significant.
-
p
- 1
Comparison of pre-intervention results between groups,
-
p
- 2
Comparison of post-intervention results between groups,
-
p
- 3
Comparison of intra-group pre-intervention and post-intervention results.
-
CRP: C-Reactive Protein; HbA1c: Hemoglobin A1c; HDL: High Density-lipoprotein Cholesterol; LDL: Low Density-Lipoprotein Cholesterol.