Relationship of second-to-fourth digit ratio with metabolic syndrome indices and serum biomarkers in Hausa ethnic group of Kano, Nigeria

Asuku, Abdullahi Yusuf; Danborno, Barnabas; Akuyam, SA; Timbuak, James Abrak; Adamu, Lawan Hassan

doi:10.4103/jeca.jeca_24_17

Cited by 5 publications

(7 citation statements)

References 38 publications

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“…However, 2D:4D on the other hand is a prenatally determined anthropometric variable whose development is essentially influenced by sex hormone (estrogen and progesterone) and genetic factors has only been shown recently to demonstrate strong and significant correlations with body adiposity measures (Asuku et al, 2018) and determinants of metabolic risk Ranvider and Manju, 2016). It is currently speculated that the genetic and hormonal determinants of 2D:4D may similarly be implicated in the development of body adiposity phenotypes.…”

Section: Discussionmentioning

confidence: 99%

Predictability of Metabolic Risk factors from hand and foot anthropometry in Hausa ethnic population of Kano, Nigeria

Yusuf

2023

NJPS

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articular ethnic/racial group. Adiposity measures are employed to screen MRF by clinicians. The ratio of the second to fourth digit of the hand (2D:4D) has been shown to be a tight correlate of MRF. Attempts to predict MRF from hand anthropometry is relatively a new idea. The present study aims to predict MRF from digit and body anthropometry. The study recruited 266 males and 199 females of Hausa origin. Systematic random sampling was employed. Anthropometric measurements and blood pressure were obtained using standard techniques. Regression analysis was used to predict MRF, SPSS version 20 was used for statistical analyses and P < 0.05 was set as level of significance. MRF (serum glucose, total cholesterol, lipoprotein cholesterol, and blood pressure (BP) were predictable from 2D:4D and body anthropometric measures. Waist-to-hip ratio (WHR) was the most consistent MRF predictor. In males, WHR alone predicted TC (R2 = 0.67 and P<0.0001), HDL-C (R2 =0.68 and P <0.0001), LDL-C (R2 = 0.67 and P < 0.001) and diastolic blood pressure (DBP) [R2 =0.43 and P <0.001)]. The right 2D:4D contributed slightly to the prediction of SBP and FBG increasing the R2 value to 0.62from 0.6 for FBG and from 0.6 to 0.64 for SBPKeywords: Body anthropometry, Digit anthropometry, Metabolic risk, Predictability

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Section: Discussionmentioning

confidence: 99%

Predictability of Metabolic Risk factors from hand and foot anthropometry in Hausa ethnic population of Kano, Nigeria

Yusuf

2023

NJPS

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“…BMI was calculated as a ratio of weight in kg to the height per m 2 . The lengths of the digits, hand breadth and palmer length were measured using vanier caliper (Neiko 01407A) (Figure 1) as described as adopted from Manning et al (1998); Umar et al (2016) and Asuku et al (2017).…”

Section: Methodsmentioning

confidence: 99%

Determination of type of asymmetry in hand dimensions and its relationship with body mass index

Adamu

Ibrahim²,

Issa³

et al. 2022

Ital J Anat Embryol

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Several documented evidences have indicated high influence of diseases on developmental instability measurable by asymmetry, there is however scarcity of reports on the type of asymmetry in hand and limited attempts to determine its relationship with body mass index (BMI) especially among Hausa population. The study was aimed to determine type(s) of asymmetry in hand dimensions and its relationship with BMI from selected tertiary institution in Kano metropolis, Nigeria. The study was cross sectional type which involved a total of 398 students (204 males and 194 females). The hand dimensions (digits length, palmer length and hand breadth) were measured using standard protocol. Body mass index was calculated from the measured height and weight. Asymmetry was determined as right-hand dimension minus left hand dimension (A = R-L). One sample t test was used to determine the type of asymmetry in hand dimensions. Pearson’s correlation was used to determine the correlation between the asymmetry and BMI. The results of the study showed that digit length, hand breadth and palmar length exhibited directional asymmetry (DA). The degree of the DA was more expressed in index digit followed by middle digit and the least was the ring digit. The nature of DA in the hand dimensions was left warded except for the hand breadth which was observed to be right warded. There was no significant correlation observed between asymmetry in hand dimensions with BMI. In conclusion, there were no significant correlations between hand asymmetry and BMI among the studied Hausa population and hand dimensions exhibited directional type of asymmetry, as such may not be used as a surrogate indicator of developmental instability.

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“…Because it is associated with estrogen receptors in humans which leads to the development of ring fingers which are shorter than the index finger. Individuals who have lower 2D than 4D tend to have a well-developed cardiovascular system and normal cardiovascular function, and vice versa (15).…”

Section: The Correlation Between Digit Ratio With Metabolic Syndromementioning

confidence: 99%

“…Besides that, the digit ratio is usually used for research in finding relation between physiological and psychological conditions including fertility; athletic ability; gender-related disease; social behavior; sexual orientation (17). Several conditions such as autism, depression, congenital adrenal hyperplasia, polycystic ovary syndrome (15). Based on several digit ratio studies which related to cardiometabolic disease were using more than 1000 subjects, whereas in this study the subjects were only 80 so that the digit ratio indicator still could not describe a person's metabolic status.…”

Section: The Correlation Between Digit Ratio With Metabolic Syndromementioning

confidence: 99%

“…Recently there was a report of an anthropometric measurement as an indicator in predicting cardiovascular disease which are faster than WHtR measurements, namely The Ratio of Second to Fourth Digit Ratio (2D:4D) (14). Finger lengths were measured using a digital caliper measuring to 0.001 mm (15). This method is faster than the WHtR measurement.…”

Section: Introductionmentioning

confidence: 99%

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The Correlation between Waist-to-Height Ratio (WHtR) and Second to Fourth Digit Ratio (2D:4D) with an Increase in Metabolic Syndrome Scores in Obese Adolescent Girls

et al. 2020

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The purpose of this study was to look at the correlation between waist-to-height ratio (WHtR) and second to fourth digit ratio (2D:4D) with an increase in metabolic syndrome scores in obese female adolescents.Methodology: This research was founded by The Ministry of Research, Technology and Higher Education 2019. A cross-sectional study, which used simple random sampling technique when selecting subjects, involving 80 female university students aged 18-21 years old at Universitas Diponegoro with waist circumference >80cm. The data studied were components of the metabolic syndrome, weight, height, and index-ring finger length. Anthropometric profiles were obtained using direct measurement. Fasting blood glucose, triglycerides and HDL cholesterol were measured using enzymatic colorimetric techniques. Metabolic syndrome data was converted to metabolic syndrome score (cMetS). Data analysis using Rank Spearman and Pearson correlation test.Results: High WHtR of 95%, high 2D:4D of the right hand of 21.3% and left hand of 33.8%. Most subjects had premetabolic syndrome (80%) while the rest had metabolic syndrome. Bivariate test results showed that WHtR was positively correlated with cMetS, waist circumference, systolic and diastolic blood pressure. The right and left hand digit ratios did not correlate with cMetS nor with the components of the metabolic syndrome.Applications/Originality/Value: This study contributes to anthropometric references to detect metabolic syndrome.

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Relationship of second-to-fourth digit ratio with metabolic syndrome indices and serum biomarkers in Hausa ethnic group of Kano, Nigeria

Cited by 5 publications

References 38 publications

Predictability of Metabolic Risk factors from hand and foot anthropometry in Hausa ethnic population of Kano, Nigeria

Predictability of Metabolic Risk factors from hand and foot anthropometry in Hausa ethnic population of Kano, Nigeria

Determination of type of asymmetry in hand dimensions and its relationship with body mass index

The Correlation between Waist-to-Height Ratio (WHtR) and Second to Fourth Digit Ratio (2D:4D) with an Increase in Metabolic Syndrome Scores in Obese Adolescent Girls

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