Association between intestinal dysbiosis risk and anthropometric and biochemical parameters in overweight and obese individuals

IF 0.3 Q4 NUTRITION & DIETETICS
CAHIERS DE NUTRITION ET DE DIETETIQUE Pub Date : 2026-08-01 Epub Date: 2026-09-24 DOI:10.1016/j.cnd.2026.08.089
Kamile Abreu Inacio, Gustavo Braga, Geovana Firmo Pezin, Samile Peteli Cardoso, Fabiana de Cássia Carvalho Oliveira, André Gustavo Vasconcelos Costa, Maria das Graças Vaz Tostes, Mirelle Lomar Viana
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Twenty-three participants underwent an indirect dysbiosis assessment questionnaire (DYS-R), anthropometric assessment, biochemical tests, and bioimpedance analysis (InBody®). Stata software was used for analyses. Data normality was assessed using the Shapiro–Wilk test. Correlations were analyzed using Pearson's correlation test, and one-way analysis of variance (ANOVA) was used to compare means among independent groups, with significance set at <em>P</em> <!-->&lt;<!--> <!-->0.05. This study was approved by the Human Research Ethics Committee under protocol number No. 7.357.997.</div></div><div>This is a cross-sectional observational study presenting preliminary results from a larger project (PPSUS), which is expected to evaluate 272 individuals receiving care at Primary Health Care Units in Alegre, ES, Brazil. Twenty-three participants underwent an indirect dysbiosis assessment questionnaire (DYS-R), anthropometric assessment, biochemical tests, and bioimpedance analysis (InBody®). Stata software was used for analyses. Data normality was assessed using the Shapiro–Wilk test. Correlations were analyzed using Pearson's correlation test, and one-way analysis of variance (ANOVA) was used to compare means among independent groups, with significance set at <em>P</em> <!-->&lt;<!--> <!-->0.05. This study was approved by the Human Research Ethics Committee under protocol number No. 7.357.997.</div><div><h3>Results</h3><div>The mean DYS-R score was 19.09<!--> <!-->±<!--> <!-->5.12. The mean values for BMI, body fat percentage, LDL cholesterol, and serum cortisol were 33.48<!--> <!-->±<!--> <!-->7.22<!--> <!-->kg/m<sup>2</sup>, 43.54<!--> <!-->±<!--> <!-->8.49%, 112.32<!--> <!-->±<!--> <!-->31.00<!--> <!-->mg/dL, and 12.59<!--> <!-->±<!--> <!-->5.33<!--> <!-->μg/dL, respectively. No significant correlations were observed between DYS-R scores and BMI (<em>P</em> <!-->=<!--> <!-->0.82), body fat percentage (<em>P</em> <!-->=<!--> <!-->0.99), LDL cholesterol (<em>P</em> <!-->=<!--> <!-->0.16), or cortisol levels (<em>P</em> <!-->=<!--> <!-->0.50). Likewise, no significant divergences were found in BMI (<em>P</em> <!-->=<!--> <!-->0.86), body fat percentage (<em>P</em> <!-->=<!--> <!-->0.83), LDL cholesterol (<em>P</em> <!-->=<!--> <!-->0.27), or cortisol levels (<em>P</em> <!-->=<!--> <!-->0.98) among the DYS-R dysbiosis risk categories (low, medium, and high).</div></div><div>The mean DYS-R score was 19.09<!--> <!-->±<!--> <!-->5.12. The mean values for BMI, body fat percentage, LDL cholesterol, and serum cortisol were 33.48<!--> <!-->±<!--> <!-->7.22<!--> <!-->kg/m<sup>2</sup>, 43.54<!--> <!-->±<!--> <!-->8.49%, 112.32<!--> <!-->±<!--> <!-->31.00<!--> <!-->mg/dL, and 12.59<!--> <!-->±<!--> <!-->5.33<!--> <!-->μg/dL, respectively. 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Further analyses with larger sample size are needed to clarify potential associations between dysbiosis, body composition, and metabolic markers.</div></div><div>No significant association was observed between the risk of intestinal dysbiosis and the analyzed parameters. These findings may reflect the complexity and interindividual variability of gut microbiota-related processes, reinforcing the importance of individualized approaches. 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引用次数: 0

Abstract

Objectives

To investigate the association between the risk of intestinal dysbiosis and body mass index (BMI), body fat percentage, LDL cholesterol levels, and serum cortisol levels in individuals with overweight or obesity.
To investigate the association between the risk of intestinal dysbiosis and body mass index (BMI), body fat percentage, LDL cholesterol levels, and serum cortisol levels in individuals with overweight or obesity.

Methods

This is a cross-sectional observational study presenting preliminary results from a larger project (PPSUS), which is expected to evaluate 272 individuals receiving care at Primary Health Care Units in Alegre, ES, Brazil. Twenty-three participants underwent an indirect dysbiosis assessment questionnaire (DYS-R), anthropometric assessment, biochemical tests, and bioimpedance analysis (InBody®). Stata software was used for analyses. Data normality was assessed using the Shapiro–Wilk test. Correlations were analyzed using Pearson's correlation test, and one-way analysis of variance (ANOVA) was used to compare means among independent groups, with significance set at P < 0.05. This study was approved by the Human Research Ethics Committee under protocol number No. 7.357.997.
This is a cross-sectional observational study presenting preliminary results from a larger project (PPSUS), which is expected to evaluate 272 individuals receiving care at Primary Health Care Units in Alegre, ES, Brazil. Twenty-three participants underwent an indirect dysbiosis assessment questionnaire (DYS-R), anthropometric assessment, biochemical tests, and bioimpedance analysis (InBody®). Stata software was used for analyses. Data normality was assessed using the Shapiro–Wilk test. Correlations were analyzed using Pearson's correlation test, and one-way analysis of variance (ANOVA) was used to compare means among independent groups, with significance set at P < 0.05. This study was approved by the Human Research Ethics Committee under protocol number No. 7.357.997.

Results

The mean DYS-R score was 19.09 ± 5.12. The mean values for BMI, body fat percentage, LDL cholesterol, and serum cortisol were 33.48 ± 7.22 kg/m2, 43.54 ± 8.49%, 112.32 ± 31.00 mg/dL, and 12.59 ± 5.33 μg/dL, respectively. No significant correlations were observed between DYS-R scores and BMI (P = 0.82), body fat percentage (P = 0.99), LDL cholesterol (P = 0.16), or cortisol levels (P = 0.50). Likewise, no significant divergences were found in BMI (P = 0.86), body fat percentage (P = 0.83), LDL cholesterol (P = 0.27), or cortisol levels (P = 0.98) among the DYS-R dysbiosis risk categories (low, medium, and high).
The mean DYS-R score was 19.09 ± 5.12. The mean values for BMI, body fat percentage, LDL cholesterol, and serum cortisol were 33.48 ± 7.22 kg/m2, 43.54 ± 8.49%, 112.32 ± 31.00 mg/dL, and 12.59 ± 5.33 μg/dL, respectively. No significant correlations were observed between DYS-R scores and BMI (P = 0.82), body fat percentage (P = 0.99), LDL cholesterol (P = 0.16), or cortisol levels (P = 0.50). Likewise, no significant divergences were found in BMI (P = 0.86), body fat percentage (P = 0.83), LDL cholesterol (P = 0.27), or cortisol levels (P = 0.98) among the DYS-R dysbiosis risk categories (low, medium, and high).

Conclusion

No significant association was observed between the risk of intestinal dysbiosis and the analyzed parameters. These findings may reflect the complexity and interindividual variability of gut microbiota-related processes, reinforcing the importance of individualized approaches. Further analyses with larger sample size are needed to clarify potential associations between dysbiosis, body composition, and metabolic markers.
No significant association was observed between the risk of intestinal dysbiosis and the analyzed parameters. These findings may reflect the complexity and interindividual variability of gut microbiota-related processes, reinforcing the importance of individualized approaches. Further analyses with larger sample size are needed to clarify potential associations between dysbiosis, body composition, and metabolic markers.
超重和肥胖人群肠道生态失调风险与人体测量和生化参数的关系
目的探讨超重或肥胖人群肠道生态失调风险与体重指数(BMI)、体脂率、低密度脂蛋白胆固醇水平和血清皮质醇水平的关系。研究超重或肥胖人群肠道生态失调风险与体重指数(BMI)、体脂率、低密度脂蛋白胆固醇水平和血清皮质醇水平之间的关系。方法:这是一项横断面观察性研究,报告了一个较大项目(PPSUS)的初步结果,该项目预计将评估巴西阿雷格里州初级卫生保健单位的272名患者。23名参与者接受了间接生态失调评估问卷(dysr)、人体测量评估、生化测试和生物阻抗分析(InBody®)。采用Stata软件进行分析。使用Shapiro-Wilk检验评估数据的正态性。相关性分析采用Pearson相关检验,独立组间均值比较采用单因素方差分析(ANOVA),显著性设置为P <; 0.05。本研究已由人类研究伦理委员会批准,协议号为7.357.997。这是一项横断面观察性研究,提出了一个较大项目(PPSUS)的初步结果,该项目预计将评估巴西ES阿雷格里州初级卫生保健单位接受护理的272名个人。23名参与者接受了间接生态失调评估问卷(dysr)、人体测量评估、生化测试和生物阻抗分析(InBody®)。采用Stata软件进行分析。使用Shapiro-Wilk检验评估数据的正态性。相关性分析采用Pearson相关检验,独立组间均值比较采用单因素方差分析(ANOVA),显著性设置为P <; 0.05。本研究已由人类研究伦理委员会批准,协议号为7.357.997。结果DYS-R平均评分为19.09±5.12分。BMI、体脂率、LDL胆固醇和血清皮质醇的平均值分别为33.48±7.22 kg/m2、43.54±8.49%、112.32±31.00 mg/dL和12.59±5.33 μg/dL。dysr评分与BMI (P = 0.82)、体脂率(P = 0.99)、低密度脂蛋白胆固醇(P = 0.16)或皮质醇水平(P = 0.50)之间无显著相关性。同样,在dysr生态失调风险类别(低、中、高)中,BMI (P = 0.86)、体脂率(P = 0.83)、LDL胆固醇(P = 0.27)或皮质醇水平(P = 0.98)均未发现显著差异。dysr平均评分为19.09±5.12。BMI、体脂率、LDL胆固醇和血清皮质醇的平均值分别为33.48±7.22 kg/m2、43.54±8.49%、112.32±31.00 mg/dL和12.59±5.33 μg/dL。dysr评分与BMI (P = 0.82)、体脂率(P = 0.99)、低密度脂蛋白胆固醇(P = 0.16)或皮质醇水平(P = 0.50)之间无显著相关性。同样,在dysr生态失调风险类别(低、中、高)中,BMI (P = 0.86)、体脂率(P = 0.83)、LDL胆固醇(P = 0.27)或皮质醇水平(P = 0.98)均未发现显著差异。结论肠道生态失调风险与分析参数无显著相关性。这些发现可能反映了肠道微生物群相关过程的复杂性和个体间变异性,加强了个体化方法的重要性。需要更大样本量的进一步分析来阐明生态失调、身体组成和代谢标志物之间的潜在关联。肠道生态失调的风险与所分析的参数之间没有明显的关联。这些发现可能反映了肠道微生物群相关过程的复杂性和个体间变异性,加强了个体化方法的重要性。需要更大样本量的进一步分析来阐明生态失调、身体组成和代谢标志物之间的潜在关联。
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来源期刊
CAHIERS DE NUTRITION ET DE DIETETIQUE
CAHIERS DE NUTRITION ET DE DIETETIQUE NUTRITION & DIETETICS-
CiteScore
0.60
自引率
33.30%
发文量
55
审稿时长
65 days
期刊介绍: Les Cahiers de nutrition et de diététique sont le lieu de communication reconnu pour les médecins spécialistes de la nutrition, les diététiciens, les professionnels et les chercheurs de agro-alimentaire, les enseignants et les étudiants. Les Cahiers de nutrition et de diététique abordent les sujets se rapportant à la biologie générale, à la médecine et à la nutrition, aux aliments, aux comportements alimentaires, à la diététique pratique, ainsi que des thèmes variés : activité physique, apports nutritionnels conseillés, dénutrition, alcool, obésité de enfant, aliments à effet santé, plaisir alimentaire, restauration collective, goûters et collations, allergies alimentaires...
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