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Annals of Pediatrics and Child Health

The Relationship Between Mid-Upper Arm Circumference and Blood Pressure of Private School Children Aged 6-13 Years, In Polokwane, Limpopo Province, South Africa

Research Article | Open Access

  • 1. Department of Physiology & Environmental Health University of Limpopo, South Africa
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Corresponding Authors
KD Monyeki, Department of Physiology & Environmental Health, University of Limpopo, Turfloop Campus, Private Bag X1106, Sovenga 0727, Tel: 27-15-268-2209; Fax: 27-15-268-2209
ABSTRACT

Objectives: The prevalence of obesity and hypertension in sub-Saharan Africa are increasing to higher levels, even amongst children and adolescents.The aim of the study was to determine the relationship between Mid-upper arm circumference (MUAC), as a measure of obesity, and elevated blood pressure (BP) among Polokwane private school children.

Study Design: A total of 1629 subjects (boys=821 and girls=808) aged 6-13 years attending three private schools in Polokwane participated in the survey. The receiver operating characteristics curve was used to discriminate children with high BP. Linear regression was used to assess the relationship between BP and MUAC.

Results: The prevalence rate recorded for hypertension was 12.9% for girls and 9.3% for boys, whereas overweight was recorded as 47.9% for girls and 26.7% for boys. Area under curve (AUC) for hypertension, high systolic blood pressure (SBP) and high diastolic blood pressure (DBP) were significantly (P<0.05) higher in girls than boys. Linear regression showed a significant association for MUAC and BP (SBP, b=1.6, 95% CI 3.0-7.0; DBP, b=1.2, 95% CI 2.3-4.7) after adjusted for age and gender.

Conclusion: Polokwane private school girls showed higher prevalence of overweight and hypertension than boys. There was a significant relationship between MUAC and BP. Thus MUAC can be used as an inexpensive and easy risk marker for the presence of hypertension in children. An investigation into the physical activity level of these children will assist in uprooting the dynamics of cardiovascular diseases.

CITATION

Ledwaba KR, Nkalanga F, Monyeki KD, van Staden M (2014) The Relationship Between Mid-Upper Arm Circumference and Blood Pressure of Private School Children Aged 6-13 Years, In Polokwane, Limpopo Province, South Africa. Ann Pediatr Child Health 2(4): 1026.

KEYWORDS

• Overweight
• Hypertension
• Mid-upper arm circumference
• Children
• Polokwane private school

INTRODUCTION

Obesity and hypertension are modifiable risk factors for stroke, myocardial infarction, renal disease and cardiovascular diseases [1]. The prevalence of obesity and hypertension in sub-Saharan Africa seems to be increasing to higher levels, even amongst children and adolescents [2-4]. Consequently, the South African National Demographic Survey and National Food Consumption Survey suggested that screening for high blood pressure (BP) and obesity be frequently done to individuals visiting primary health care settings [5,6].

Several anthropometric indicators for obesity have been used as markers of high BP in children [7,8]. Most circumference measurements (waist circumference, neck circumference and Mid-upper arm circumference (MUAC)) are commonly used indicators of central obesity [9,10]. Fewer studies have explored the association of MUAC with high BP. The measurement of MUAC is simple, inexpensive, quick, practical (requires minimum effort from the examiner and examinee) and can be easily applied as screening tool during epidemiological surveys or in low resource settings. It has good inter and intra-rater reliability in children [8,9,11]. Dalili et al. [12] showed that BP in Indian children is closely related to MUAC. Little is known about the relationship between BP and MUAC of children in sub Saharan Africa. Thus, the objectives of the study were to determine 1) the prevalence of hypertension and overweight, 2) the tendency of MUAC to discriminate children with elevated BP, 3) the relationship between MUAC and elevated BP among Polokwane private school children aged 6-13 years.

MATERIALS AND METHODS

Study population

A total of 1629 subjects (821 boys and 808 girls) aged 6-13 years attending three private schools in Polokwane, a city in the Limpopo Province of South Africa, participated in the survey in September 2000. Generally, children attending private schools in South Africa fall within the middle and upper socio-economic groups of the population. All children who were present at school on the days of the survey participated in the study. Parents and/or guardians gave informed consent prior to the survey, and ethical approval for the study was obtained from the Ethics Committee of the University of the North, currently the University of LimpopoTurfloop Campus.

Anthropometric measurements

MUAC was measured in all children, in accordance with the standard procedures of the International Society for the Advancement of Kinanthropometry [13]. The absolute and relative values for intra and inter-tester technical error of measurements (% TEM) for Mid-upper arm circumference measurements ranged from 0-3.4 cm (0-4%) during the training.

Blood pressure

Using an electronic Micronta monitoring kit, at least three BP readings of Systolic BP (SBP) and Diastolic BP (DBP) were taken at intervals of 5 min after the child had been seated for 5 min or longer [14,15]. The bladder device contains an electronic infrasonic transducer that monitors the BP and pulse rate, displaying those concurrently on the screen. This versatile instrument has been designed for research and clinical purposes. In a pilot study, conducted before the survey, a high correlation (r=0.93) was found between the readings taken with the automated device and those taken with a conventional Sphygmomanometer.

Statistical analysis

Descriptive statistics were done for BP and MUAC measurements. Student’s t-test was applied to test the significance difference between the genders. MUAC of overweight children was classified according to age and gender using Mazicioglu et al [16] cut-off points. All children were classified as overweight and obese according to Cole et al. [17] cutoff point. The international cut-off points for thinness (grade one, two, and three) by sex for exact ages defined to pass through BMI of 16, 17, and 18 kg/m2 were used [18,19]. Hypertension was defined as the occurrence of SBP and DBP levels greater than or equal to the 95th percentile of height and sex adjusted reference levels. We produced genderspecific receiver operating characteristic curves and used the corresponding area under curve (AUC) to identify children with elevated BP. The receiver operating characteristic (ROC) curve is a plot of true positive rate (sensitivity) against false-positive rate (1-specificity) [20,21]. Linear regression models were used to assess the relationship between BP and MUAC adjusted and unadjusted for age and gender. Logistic regression was used to determine whether subjects who are overweight and obese were more likely (odds ratio) to be hypertensive. All statistical analyses were conducted using the Statistical Package for the Social Sciences (SPSS) and the level of significance was set at P<0.05.

RESULTS

Table 1 shows descriptive statistics for MUAC and BP, As well as the prevalence of overweight and hypertension among boys and girls aged 6-13 years. There was significantly higher mean MUAC for girls than boys aged 6-13 years. Boys and girls showed a gradual increase in the mean SBP throughout the age range, with girls having a significantly (P<0.002-0.039) higher mean SBP than boys at ages 10, 12 and 13 years. Mean DBP of girls was significantly (P<0.000-0.015) higher than boys at ages 6, 12 and 13 years. The prevalence of hypertension ranged from 0.9-12.9% and that of overweight 0-22.6% using both BMI and MUAC across the age range. The prevalence of underweight was ranging from 0 to 30.2% (n = 1948) where’s majority of Children were classified as having mild underweight ranging from 14-30.2% (Table 2). Table 3 shows the gender-specific ability of an anthropometric indicator of overweight to correctly identify children with high BP, using ROC analysis. The AUC for hypertension (0.812), high SBP (0.777) and high DBP (0.659) were significantly higher in girls compared to boys. Linear regression showed a significant (P<0.000 and 0.05) association for MUAC and both SBP (SBP, β=1.6, 95% CI 1.4-1.8) and DBP (DBP, β=1.2, 95% CI 0.9-1.4) after adjusted for age and gender. Table 4 showed odds ratio, P-value and 95% CI of hypertension among Polokwane private school children. A significant odds ratio (OR=4.9, 95% CI 2.9-8.3) was found in the current study for private school children aged 6-13 years in Polokwane, South Africa.

DISCUSSION

The relationship between MUAC and elevated BP is crucially important in evaluating both the public health and clinical impact of the hypertension and overweight epidemic that has its roots in the prevalence of childhood overweight and hypertension. In this study we found BP to be significantly associated with MUAC. In identifying high BP among children, AUC showed hypertension, high SBP and high DBP to be significantly higher in girls than boys. The risk of becoming hypertensive was significant among Polokwane private school children.

There was a significantly higher mean MUAC and BP among Polokwane private school girls compared to boys aged 10 and 12 years. Similar results were found by Pier et al. [22] among Italian girls aged 11-14 years. The high prevalence of overweight (9.4–47.9%) and hypertension (0.9–12.9%) in this population is cause for concern. However, low prevalence of overweight (0.4%) was reported among Nigerian Children aged 10-17 years [23-25], though the sample was not from private school children as it is the case in our current study. Private school children are characterized by families from higher socio-economic status in South Africa. Gradual adoption of western lifestyle including reduction in physical activity, and increased childhood hypertension are associated with higher socio-economical status population in developing countries [23,26,27]. Furthermore, the South African rural population is moving to the cities in large numbers and consuming fast foods predisposing them to high levels of obesity [28,29]. People of African descent have a strong tendency towards salt sensitivity, resulting in hypertension when the sodium chloride levels in the diet increases [29]. Thus urbanization with the associated westernization can possibly explain the high prevalence of overweight and hypertension in these urban South African children.

The odds of having hypertension among Polokwane private school children in the present study was significant (p<0.05) (OR=4.8, 95% CI 2.8-8.0) even after adjusting for age and gender (OR=4.9, 95% CI 2.9-8.3). Similar results were reported among Mexican and Indian children [30-32]. Furthermore, Freedman et al. [33] reported that overweight children in the Bolagusa heart study were 4.5% times likely to be hypertensive than normal weight children. The higher risk of hypertension seen among Indian children might be explained by factors such as diet during early childhood, sedentary lifestyle and family history of hypertension [34]. The same may apply to this study population.

There was a significant (P<0.05) relationship between MUAC and elevated BP among Polokwane private school children aged 6-13 years. Pier et al. [22]. Found similar results among Italian children. Furthermore, Mazicioglu et al. [16] reported that MUAC was significantly related to BP among children aged 11- 17 years from Turkey. The differences in patterns of increase in BP between boys and girls are probably related to certain physiological factors. Muscle mass is greater among boys and this is why the relationship of MUAC among boys is weaker than girls, which have a greater component of fat in their MUAC [22]. Furthermore, Gortmaker et al. [35] reported that growth and fat storage characteristics of children may have an effect on MUAC wideness.

In our study, we did not consider the socio-economic status of the children’s families, physical activity, dietary intake and number of siblings. Furthermore, even though the data of the study was collected in 2000, it is possible that the prevalence of overweight and obesity has increased even in public school children, at present time, due to developments and changes in South Africa [29,36].

Table 1: Descriptive statistics for mid-upper arm circumference, BP parameters,Weight, Height and BMI of Polokwane private school children from age 6 to 13 years.

  N Mid-Upper Arm Circumference Systolic BP Diastolic BP Weight Height BMI
Age(Years) Boys Girls Boys Girls Boys Girls Boys Girls Boys girls Boys girls Boys girls
  M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd) M(sd)
6 74 94 16.7 17.1 87.6 90.3 60.3* 63.5* 21.7 21.0 122.8 121.6 14.3 14.2
      (1.4) (1.6) (9.7) (10.3) (9.3) (9.7) (3.1) (3.1) (5.4) (5.8) (1.3) (1.7)
7 118 122 17.1 17.4 95.0* 92.3* 65.2 64.4 24.3 23.5 126.8 126.2 15.0 14.7
      (2.0) (1.6) (11.4) (9.8) (10.4) (9.0) (4.0) (3.8) (6.0) (7.5) (1.8) (1.8)
8 116 117 18.2 18.3 100.1* 96.9* 69.2* 66.5* 27.3 27.6 131.5 131.7 15.7 15.9
      (2.5) (2.3) (12.0) (11.1) (9.3) (9.2) (5.6) (5.9) (6.9) (5.2) (2.4) (3.1)
9 106 106 18.0* 19.5* 100.9 102.9 67.9 68.7 28.9* 31.5* 136.1 137.5 15.5* 16.5*
      (1.8) (3.3) (11.1) (11.2) (8.4) (8.3) (4.9) (7.3) (6.9) (6.6) (2.0) (3.1)
10 117 104 18.8* 20.1* 100.3* 104.9*0 68.3 69.9 33.0* 35.3* 142.1 144.0 16.2* 16.9*
      (2.4) (3.3) (10.1) (14.4) ()10.5 (9.9) (6.3) (8.5) (6.0) (6.8) (2.5) (3.2)
11 140 140 19.7 20.8* 106.2 107.4 71.3 70.3 36.0* 39.4* 146.6* 150.0* 16.7 17.4
      (2.7) (3.1) (13.0) (14.1) (12.5) (10.5) (7.7) (9.0) (6.6) (7.7) (3.2) (3.2)
12 104 93 20.0* 21.4* 106.6* 112.4* 70.1* 75.9* 38.9 43.6 151.2 155.7 16.9 17.9
      (2.9) (3.6) (13.0) (12.3) (9.6) (12.7) (10.0) (117) (8.2) (7.2) (3.3) (3.9)
13 71 43 21.1* 22.6* 109.8 115.3 70.5 75.1 43.1* 49.1* 156.3 160.0 17.6* 19.1*
      (2.6) (3.6) (13.2) (14.1) (9.3) (9.9) (8.0) (11.0) (7.3) (7.0) (2.5) (4.0)

Table 2: The prevalence of thinness, overweight/obesity and hypertension amongst Polokwane private school children from age 6 to 13 years.

  BMI@ MUAC$ Blood Pressure#
    Thinness Overweight/Obesity        
  N Severe Moderate Mild Overweight Obesity Overweight High Systolic High Diastolic Hypertension
Age (Yrs) Boys Girls Boys %(n) Girls %(n) Boys %(n) Girls %(n) Boys %(n) Girls %(n) Boys %(n) Girls %(n) Boys %(n) Girls %(n) Boys %(n) Girls %(n) Boys %(n) Girls %(n) Boys %(n) Girls %(n) Boys %(n) Girls %(n)
6 74 94 17.6 13.8 29.7 2.1 21.6 28.7 1.4 1.1 1.4 - 16.7 17.1 1.4 1.1 4.1 12.8 - 1.1
      (13) (13) (22) (2) (16) (27) (1) (1) (1) - (3) (1) (1) (1) (3) (12) - (1)
7 188 122 5.9 9.0 19.5 - 23.7 23.8 11.9 0.8 1.7 0.8 17.0 17.4 5.9 0.8 12.7 13.9 4.2 -
      (7) (11) (23) - (28) (29) (14) (1) (2) (1) (11) (2) (7) (1) (5) (17) (5) -
8 106 117 4.3 5.1 14.7 13.7 27.6 21.4 6.0 2.6 6.0 4.3 18.2 18.3 4.3 6.8 10.3 9.4 0.9 3.4
      (5) (6) (17) (16) (32) (25) (7) (3) (7) (5) (13) (8) (5) (8) (12) (11) (1) (4)
9 106 106 5.7 2.8 10.4 11.3 30.2 23.6 3.8 10.4 2.8 6.6 18.0 19.5 5.7 11.3 5.7 13..3 0.9 3.6
      (6) (3) (11) (12) (32) (25) (4) (11) (3) (7) (7) (18) (6) (12) (6) (14) (1) (4)
10 117 104 1.7 2.9 9.4 12.5 23.9 21.2 6.0 15.4 1.7 3.8 18.8 20.1 4.3 11.5 8.5 16.3 2.6 6.7
      (2) (3) (11) (13) (28) (22) (7) (16) (2) (4) (9) (20) (5) (12) (10) (17) (3) (7)
11 140 140 2.9 1.4 18.6 15.7 20.7 16.4 4.3 13.6 4.3 2.9 19.7 20.8 12.9 20.7 16.4 20.7 9.3 8.6
      (4) (2) (26) (22) (29) (23) (6) (19) (6) (4) (12) (22) (18) (23) (23) (29) (13) (12)
12 104 93 4.8 5.4 20.2 8.6 19.2 15.1 5.8 6.5 1.9 4.3 20.0 21.4 6.7 18.3 10.6 30.1 1.9 12.9
      (5) (5) (21) (8) (20) (14) (6) (6) (2) (4) (8) (10) (7) (17) (11) (28) (2) (12)
13 71 43 5.6 7.0 9.9 14.0 18.3 14.0 9.9 20.9 - 2.3 21.1 22.6 11.3 23.3 11.3 16.3 5.6 9.3
      (4) (3) (7) (6) (13) (6) (7) (9) - (1) (7) (10) (8) (10) (8) (7) (4) (4)

N= sample size; MUAC = Mid-upper arm circumference; BMI= Body mass index,, #= Hypertension was defined as the occurrence of SBP and DBP levels greater than or equal to the 95th percentile of height, age and sex [14,15], $=Mid-upper arm circumference of overweight children was classified according to age and gender [16], @=All children were classified as overweight and obese according to Cole et al.[17] cutoff point. The international cut-off points for thinness (grade one, two, and three) by sex for exact ages defined to pass through BMI of 16, 17, and 18 kg/m2 were used [18].

Table 3: Gender-specific areas under the receiver operating characteristic curves showing the ability of anthropometric measures to identify children with high blood pressure (HBP).

  Mid-upper arm circumference Body Mass Index
ROC analysis AUC 95% CI AUC 95% CI
Hypertension in boys 0.648 0.524-0.772 0.615 0.497-0.732
High SBP in boys 0.670 0.590-0.749 0.622 0.537-0.707
High DBP in boys 0.613 0.543-0.684 0.577 0.509-0.646
Hypertension in girls 0.812 0.740-0.885 0.681 0.586-0.775
HighSBP in girls 0.777 0.723-0.831 0.650 0.579-0.720
High DBP in girls 0.659 0.605-0.712 0.579 0.523-0.635

*AUC: area under curve (all AUC significant p<0.05), ROC: receiver operating curve, SBP: systolic blood pressure, DBP: diastolic blood pressure

Table 4: Odds Ratio, P-value and 95% confidence intervals of hypertension among Polokwane Private School children aged 6 and 13 years.

  Unadjusted Adjusted for age and gender
  Odds ratio P-value 95%CI Odds ratio P-value 95%CI
High systolic 4.4 0.000 2.9 6.5 4.6 0.000 3.0 7.0
High Diastolic 3.2 0.000 2.3 4.6 3.3 0.000 2.3 4.7
Hypertension 4.8 0.000 2.8 8.0 4.9 0.000 2.9 8.3

 

CONCLUSION

Polokwane private school children showed a higher prevalence of overweight and hypertension. There was a significant relationship between MUAC and BP among private school children in Polokwane. The risk of having hypertension among Polokwane private school children was significant even after adjusting for age and gender. The results of this study suggest that MUAC may be used as a risk marker for hypertension in children aged 6–13 years when other measures of BP are not available, which is often the case in low resource settings. Research into the physical activity level of these children will assist in uprooting the dynamics of cardiovascular diseases.

ACKNOWLEDGEMENT

The financial support received from Vrije University, Amsterdam, The Netherlands and the University of the North, South Africa and National Research Foundation acknowledged with gratitude. The authors are indebted to the Ellisras Longitudinal Study administrators Mr TT Makata, RJ Majadibodu, and Mr Tselapedi TT for coding the data.

Source of funding

This work was supported by South African National Research Foundation [grant: IFR14020563635], University of Limpopo [Grant number: 1404].

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Ledwaba KR, Nkalanga F, Monyeki KD, van Staden M (2014) The Relationship Between Mid-Upper Arm Circumference and Blood Pressure of Private School Children Aged 6-13 Years, In Polokwane, Limpopo Province, South Africa. Ann Pediatr Child Health 2(4): 1026.

Received : 31 Oct 2014
Accepted : 24 Nov 2014
Published : 26 Nov 2014
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JSM General Surgery Cases and Images
ISSN : 2573-1564
Launched : 2016
JSM Anatomy and Physiology
ISSN : 2573-1262
Launched : 2016
JSM Dental Surgery
ISSN : 2573-1548
Launched : 2016
Annals of Emergency Surgery
ISSN : 2573-1017
Launched : 2016
Annals of Mens Health and Wellness
ISSN : 2641-7707
Launched : 2017
Journal of Preventive Medicine and Health Care
ISSN : 2576-0084
Launched : 2018
Journal of Chronic Diseases and Management
ISSN : 2573-1300
Launched : 2016
Annals of Vaccines and Immunization
ISSN : 2378-9379
Launched : 2014
JSM Heart Surgery Cases and Images
ISSN : 2578-3157
Launched : 2016
Annals of Reproductive Medicine and Treatment
ISSN : 2573-1092
Launched : 2016
JSM Brain Science
ISSN : 2573-1289
Launched : 2016
JSM Biomarkers
ISSN : 2578-3815
Launched : 2014
JSM Biology
ISSN : 2475-9392
Launched : 2016
Archives of Stem Cell and Research
ISSN : 2578-3580
Launched : 2014
Annals of Clinical and Medical Microbiology
ISSN : 2578-3629
Launched : 2014
JSM Pediatric Surgery
ISSN : 2578-3149
Launched : 2017
Journal of Memory Disorder and Rehabilitation
ISSN : 2578-319X
Launched : 2016
JSM Tropical Medicine and Research
ISSN : 2578-3165
Launched : 2016
JSM Head and Face Medicine
ISSN : 2578-3793
Launched : 2016
JSM Cardiothoracic Surgery
ISSN : 2573-1297
Launched : 2016
JSM Bone and Joint Diseases
ISSN : 2578-3351
Launched : 2017
JSM Bioavailability and Bioequivalence
ISSN : 2641-7812
Launched : 2017
JSM Atherosclerosis
ISSN : 2573-1270
Launched : 2016
Journal of Genitourinary Disorders
ISSN : 2641-7790
Launched : 2017
Journal of Fractures and Sprains
ISSN : 2578-3831
Launched : 2016
Journal of Autism and Epilepsy
ISSN : 2641-7774
Launched : 2016
Annals of Marine Biology and Research
ISSN : 2573-105X
Launched : 2014
JSM Health Education & Primary Health Care
ISSN : 2578-3777
Launched : 2016
JSM Communication Disorders
ISSN : 2578-3807
Launched : 2016
Annals of Musculoskeletal Disorders
ISSN : 2578-3599
Launched : 2016
Annals of Virology and Research
ISSN : 2573-1122
Launched : 2014
JSM Renal Medicine
ISSN : 2573-1637
Launched : 2016
Journal of Muscle Health
ISSN : 2578-3823
Launched : 2016
JSM Genetics and Genomics
ISSN : 2334-1823
Launched : 2013
JSM Anxiety and Depression
ISSN : 2475-9139
Launched : 2016
Clinical Journal of Heart Diseases
ISSN : 2641-7766
Launched : 2016
Annals of Medicinal Chemistry and Research
ISSN : 2378-9336
Launched : 2014
JSM Pain and Management
ISSN : 2578-3378
Launched : 2016
JSM Women's Health
ISSN : 2578-3696
Launched : 2016
Clinical Research in HIV or AIDS
ISSN : 2374-0094
Launched : 2013
Journal of Endocrinology, Diabetes and Obesity
ISSN : 2333-6692
Launched : 2013
Journal of Substance Abuse and Alcoholism
ISSN : 2373-9363
Launched : 2013
JSM Neurosurgery and Spine
ISSN : 2373-9479
Launched : 2013
Journal of Liver and Clinical Research
ISSN : 2379-0830
Launched : 2014
Journal of Drug Design and Research
ISSN : 2379-089X
Launched : 2014
JSM Clinical Oncology and Research
ISSN : 2373-938X
Launched : 2013
JSM Bioinformatics, Genomics and Proteomics
ISSN : 2576-1102
Launched : 2014
JSM Chemistry
ISSN : 2334-1831
Launched : 2013
Journal of Trauma and Care
ISSN : 2573-1246
Launched : 2014
JSM Surgical Oncology and Research
ISSN : 2578-3688
Launched : 2016
Annals of Food Processing and Preservation
ISSN : 2573-1033
Launched : 2016
Journal of Radiology and Radiation Therapy
ISSN : 2333-7095
Launched : 2013
JSM Physical Medicine and Rehabilitation
ISSN : 2578-3572
Launched : 2016
Annals of Clinical Pathology
ISSN : 2373-9282
Launched : 2013
Annals of Cardiovascular Diseases
ISSN : 2641-7731
Launched : 2016
Journal of Behavior
ISSN : 2576-0076
Launched : 2016
Annals of Clinical and Experimental Metabolism
ISSN : 2572-2492
Launched : 2016
Clinical Research in Infectious Diseases
ISSN : 2379-0636
Launched : 2013
JSM Microbiology
ISSN : 2333-6455
Launched : 2013
Journal of Urology and Research
ISSN : 2379-951X
Launched : 2014
Journal of Family Medicine and Community Health
ISSN : 2379-0547
Launched : 2013
Annals of Pregnancy and Care
ISSN : 2578-336X
Launched : 2017
JSM Cell and Developmental Biology
ISSN : 2379-061X
Launched : 2013
Annals of Aquaculture and Research
ISSN : 2379-0881
Launched : 2014
Clinical Research in Pulmonology
ISSN : 2333-6625
Launched : 2013
Journal of Immunology and Clinical Research
ISSN : 2333-6714
Launched : 2013
Annals of Forensic Research and Analysis
ISSN : 2378-9476
Launched : 2014
JSM Biochemistry and Molecular Biology
ISSN : 2333-7109
Launched : 2013
Annals of Breast Cancer Research
ISSN : 2641-7685
Launched : 2016
Annals of Gerontology and Geriatric Research
ISSN : 2378-9409
Launched : 2014
Journal of Sleep Medicine and Disorders
ISSN : 2379-0822
Launched : 2014
JSM Burns and Trauma
ISSN : 2475-9406
Launched : 2016
Chemical Engineering and Process Techniques
ISSN : 2333-6633
Launched : 2013
Annals of Clinical Cytology and Pathology
ISSN : 2475-9430
Launched : 2014
JSM Allergy and Asthma
ISSN : 2573-1254
Launched : 2016
Journal of Neurological Disorders and Stroke
ISSN : 2334-2307
Launched : 2013
Annals of Sports Medicine and Research
ISSN : 2379-0571
Launched : 2014
JSM Sexual Medicine
ISSN : 2578-3718
Launched : 2016
Annals of Vascular Medicine and Research
ISSN : 2378-9344
Launched : 2014
JSM Biotechnology and Biomedical Engineering
ISSN : 2333-7117
Launched : 2013
Journal of Hematology and Transfusion
ISSN : 2333-6684
Launched : 2013
JSM Environmental Science and Ecology
ISSN : 2333-7141
Launched : 2013
Journal of Cardiology and Clinical Research
ISSN : 2333-6676
Launched : 2013
JSM Nanotechnology and Nanomedicine
ISSN : 2334-1815
Launched : 2013
Journal of Ear, Nose and Throat Disorders
ISSN : 2475-9473
Launched : 2016
JSM Ophthalmology
ISSN : 2333-6447
Launched : 2013
Journal of Pharmacology and Clinical Toxicology
ISSN : 2333-7079
Launched : 2013
Annals of Psychiatry and Mental Health
ISSN : 2374-0124
Launched : 2013
Medical Journal of Obstetrics and Gynecology
ISSN : 2333-6439
Launched : 2013
JSM Clinical Pharmaceutics
ISSN : 2379-9498
Launched : 2014
JSM Foot and Ankle
ISSN : 2475-9112
Launched : 2016
JSM Alzheimer's Disease and Related Dementia
ISSN : 2378-9565
Launched : 2014
Journal of Addiction Medicine and Therapy
ISSN : 2333-665X
Launched : 2013
Journal of Veterinary Medicine and Research
ISSN : 2378-931X
Launched : 2013
Annals of Public Health and Research
ISSN : 2378-9328
Launched : 2014
Annals of Orthopedics and Rheumatology
ISSN : 2373-9290
Launched : 2013
Journal of Clinical Nephrology and Research
ISSN : 2379-0652
Launched : 2014
Annals of Community Medicine and Practice
ISSN : 2475-9465
Launched : 2014
Annals of Biometrics and Biostatistics
ISSN : 2374-0116
Launched : 2013
JSM Clinical Case Reports
ISSN : 2373-9819
Launched : 2013
Journal of Cancer Biology and Research
ISSN : 2373-9436
Launched : 2013
Journal of Surgery and Transplantation Science
ISSN : 2379-0911
Launched : 2013
Journal of Dermatology and Clinical Research
ISSN : 2373-9371
Launched : 2013
JSM Gastroenterology and Hepatology
ISSN : 2373-9487
Launched : 2013
Annals of Nursing and Practice
ISSN : 2379-9501
Launched : 2014
JSM Dentistry
ISSN : 2333-7133
Launched : 2013
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