Loading

Journal of Human Nutrition and Food Science

Dietary Intake Patterns of Alcoholics; a Case Study of Selected Rehabilitation Centers in Kenya

Research Article | Open Access | Volume 8 | Issue 1

  • 1. Masinde Muliro University of Science and Technology, Kenya
+ Show More - Show Less
Corresponding Authors
Lucy Amanya Mutuli, Masinde Muliro University of Science and Technology, Kenya
Abstract

Introduction: Sub-optimal dietary intake patterns have a major detrimental impact on the nutritional status of an alcoholic. These patterns exacerbate the status of alcoholism and the functioning of the alcoholic’s body.

Objective: This study aimed to examine alcoholic’s dietary intake patterns.

Methods: A cross-sectional study was conducted on 204 alcoholics undergoing alcohol rehabilitation in selected rehabilitation centers. A 24 hour food recall and food frequency questionnaire was used to assess dietary intake of the respondents. Factor analysis of food items and groups, cluster analysis of dietary intake patterns, and multivariate regressions were carried out.

Results: Three dietary intake patterns were identified among alcoholics namely a low calorie intake (described mainly by consumption of plant-based foods); a composite intake (distinguished by adequate consumption of both plant-based and animal-based foods) and a high calorie intake (characterized by high consumption of animal-based foods).

Conclusion: Optimal dietary intake promotion programs are needed to address the dietary intakes of recuperating alcoholics under rehabilitation to help prevent malnutrition and other associated comorbidities.

Keywords
  • Dietary intake
  • Rehabilitation centers
  • Alcoholics

 

Citation

Mutuli LA, Bukhala P, Nguka G (2020) Dietary Intake Patterns of Alcoholics; a Case Study of Selected Rehabilitation Centers in Kenya. J Hum Nutr Food Sci 8(1): 1133.

INTRODUCTION

Alcoholism impacts negatively on health outcomes of abusers, heavy alcohol intakes may also adversely affect the diet and nutrient status of the individual, increasing the risk of malnutrition [1]. Heavy alcohol use may cause primary malnutrition whereby alcohol displaces other nutrients and secondary malnutrition resulting from alcohol interfering with the digestion, absorption, metabolism and utilization of some nutrients [2]. Alcohol intoxication also damages two major organs involved in metabolism and nutrition: the liver and the pancreas. The liver removes toxins from harmful substances. The pancreas regulates blood sugar and the absorption of fat [3]. Damage to these two organs results in an imbalance of fluids, calories, protein, and electrolytes. Many alcoholics present severe malnutrition, as alcohol’s metabolic process prevents the body from proper absorption, digestion, and use of essential nutrients. Alcoholics’ dietary intake patterns are adversely being influenced by the changing environmental-factors leading to alarming rates of underweight, obesity, higher metabolic risk factors causing diabetes, hypertension, other chronic diseases and hindering effective rehabilitation from alcoholism [4]. Dietary intake patterns of alcoholics undergoing rehabilitation in Kenya’s rehabilitation centers have been reported to be inclusive of higher energy dense [5], poor nutrient dense [6], lack of dairy products [7], inadequate fruit and vegetable intake [8], snacking [9], spread of fast food chains [10] and other restaurants (eating out). In general, their diets are higher in fats, cholesterol and refined carbohydrates (increase of energy and fat intake), and low in dietary fibers and polyunsaturated fatty acids per capita [4]. The consumption of fruits, vegetables and complex carbohydrates has decreased due to the harsh economic conditions over the last few decades [9]. Sub-optimal dietary intake patterns amongst alcoholics have resulted in the deficiency of essential nutrients especially during their rehabilitation; with 32% of alcoholics being undernourished and 61% either overweight or obese [11]. This hinders effective rehabilitation from alcoholism and also becomes a threat to the health status of recuperating alcoholics. Both under-nutrition and over-nutrition are prevalent amongst alcoholics which are related to practice of poor dietary intake patterns as a result of diverse and interrelated factors [9]. The objective of this study was, therefore, to assess dietary intake patterns of recuperating alcoholics by understanding their diet intake with regard to commonly consumed foods groups.

METHODS

Study design

A cross-sectional study was conducted from May-July, 2018 on 204randomly sampled inpatient alcoholics during their first week of admission in the selected rehabilitation centers. Based on the data of alcoholics’ population across various rehabilitation centers, a proportionate sample of 200 alcoholics was targeted to allow for adequate power for bivariate and multivariate analyses to be carried out. Informed consent was obtained for the study; sampled respondents received a preliminary medical examination, detoxification and further medical and psychological assessment before the rehabilitation programme was started. The study was conducted according to the research ethics guidelines laid down by NACADA.

Procedure

Trained research assistants approached the inpatients alcoholics two weeks after admission into the rehabilitation program and explained the study objectives. Those who expressed interest and provided their oral consent were handed a written consent to append their signature as a legal acceptance to participate in the study. A self-administered anonymous questionnaire structured with the following sections; a socio-demographic, anthropometric, dietary intake pattern was administered to the respondents who completed within approximately 30 min. The anonymity of the respondents was guaranteed during the data collection process. Out of 300 distributed questionnaires 204 (68%) were returned to the research assistants, thus the sample size needed for sufficient power to conduct the analyses was met. During their rehabilitation period of three months, respondents were offered cognitivebehavioral treatments, group discussions on sub-optimal dietary intake issues related to alcoholism and educational meetings on impact of optimal dietary intake on alcohol rehabilitation. Further methodological details were presented by authors elsewhere.

Dietary Intake Assessment

Dietary intake was assessed using food frequency questionnaire where respondents were asked to relate the frequency of consumption and portion sizes of listed foods and beverages. The reference period for the food frequency was the usual dietary intake of the alcoholics before they were admitted in the rehabilitation center. Once returned to the research assistants, the forms were reviewed for completeness. The main section of the FFQ was the listed food and beverage items, with questions of the usual frequency of intakes. To determine scores for components 1-5 (cereals, vegetables, fruits, meat and milk groups), food items from the FFQ was placed in their appropriate food groups. The information collected on dietary consumption allowed to calculate a dietary diversity score over 24 hours. Finally the scores were counted from each food group and respondent dietary diversity scores were calculated based on the FAO guidelines for measuring individual dietary diversity [12].

Data Analysis

Factorial and cluster analyses are two of the most common methods used to analyze common eating patterns which allow for empirical derivation of dietary patterns. Factor analysis analyzes patterns based on inter-correlations between food items/groups, whereas cluster analysis depends on individual differences in mean intakes when reducing data into patterns. Both methods were utilized in this study, with factorial analysis identifying food group patterns based on inter- correlations between food components and cluster analysis allowed for grouping individuals within the sample into mutually exclusive groups based on their adherence to these food group patterns. Empirical methods allow for exploring correlations between derived dietary patterns and various health outcomes. This procedure is shown in the following sections; firstly, an exploratory factor analysis was conducted to identify patterns of habitual food categories consumed by alcoholics. Kaiser–Meyer–Olkin (KMO) index and Bartlett’s Chi- square test of sphericity was used to conduct sample adequacy with the factors of food categories consumption being extracted using the principal component analysis. Factors with Eigen values higher than one were retained; confirmation of adequacy with a Scree plot was performed and interpretability of the results was taken into account. Items with factor loading ≥0.4 were considered as belonging to a factor. Reliability analysis was performed by Cronbach’s alpha values for factors and the total scale. Secondly, a cluster analysis was performed with the identified factor scores reflecting patterns of consumption of food categories using the K-mean method to identify dietary patterns consumed by respondents. This method allowed respondents to be grouped into non-overlapping mutually exclusive clusters reflecting their dietary patterns. Analysis allowed for 30 iterations centering results on zero and convergence was only reached using a three clusters structure, i.e., thus, three different dietary patterns.

RESULTS

Food Categories Consumptions Patterns

The main factors were extracted using factor analysis of the 11 food categories. These factors reflected food categories consumed by the respondents. Kaiser–Meyer–Olken value was 0.751 (p <0.001 for Bartlett’s test of sphericity), denoting the sample adequacy for the analysis. All communalities were higher than 0.3, except for juice, which was subsequently removed from the factor as it did not load adequately on any of the extracted factors. Three factors were then extracted, explaining together 57.31% of the total variance:

  • Factor1 showed high loadings on high calorie foods
  • Factor2 showed high positive loadings low calorie foods
  • Factor 3 had high positive loadings on composited foods (Table 1).

Table 1: Factor Loadings of Food Categories.

Food categories

Factor 1-High Calorie Foods

Factor 2- Low foods

Factor 3- Composite calorie foods

Carbonated drinks

0.725

 

 

Fast Foods

0.711

 

 

Beverages

0.701

 

 

Desserts

0.689

 

 

Fruits

 

0.492

 

Vegetables

 

0.453

 

Rice and pasta

 

 

0.782

Grains

 

 

0.452

Legumes

 

 

0.434

White Meat

 

 

0.684

Red Meat

 

 

0.848

 Moreover, the reliability analysis of the food items gave a moderate value of Cronbach’s alpha (0.537), showing the need for factors segregation. Thus, for the factors described above, reliability was 0.661 for high calorie foods; 0.497 for composite foods respectively.

Dietary Intake Patterns of Alcoholics

As shown in (Table 2), the three clusters were labeled as: the “low-calorie” dietary pattern: asitha strong inverse correlation with factors 1 and a weak but positive correlation with factor2. The “mixed” dietary pattern had the highest scores for factor 2, followed by factor 3 with a low correlation with factor 1. The high calorie dietary pattern had a strongest association with factors1 and an inverse correlation with factors 2 and 3.

Table 2: Dietary Intake Patterns of Alcoholics.

Factor

Cluster1-

lowcaloriediet

Cluster2-

Mixed diet

Cluster 3-

High calorie

Factor 1-High calorie foods

-0.72

0.14

0.79

Factor 2- Low calorie foods

0.25

0.77

-0.66

Factor 3-Composite foods

-0.36

0.56

-0.38

DISCUSSION

In this study, we present findings on the main food categories and dietary patterns practiced by alcoholics’ in Kenya. Eleven main food categories consumed by the study respondents were derived from high calorie, composite and low calorie foods that formed the dietary patterns. The consumption of these food categories was further explored by dividing the respondents into three groups referring to three dietary patterns adopted based on the food categories. Identified dietary patterns in our study were relatively similar to those reported in other studies on alcoholics [13]. According to [9] three dietary patterns were identified; these were mainly the western, prudent, and traditional, as well as alcohol dietary patterns [14]. showed that alcoholics adopted four similar patterns: fast food and meat, refined grains and cereals, traditional, and alcohol [15]. Furthermore, similar patterns were found among alcoholics in other countries, where “vegetable,” “fruit,” “sweet/salty snack foods,” and “starchy foods” were reported [1], whereas “western,” “traditional,” and “mixed” diets were found [4]. These differences in identified patterns between different studies and settings may be due to numerous environmental-factors including the availability, affordability and access to certain types of foods in addition to the nutrition transition status which requires further research. The dietary patterns we found were adopted differently by alcoholics. Thus these significantly impacts on the alcoholism status and rehabilitation of the respective alcoholic. High and low calorie dietary patterns have been associated with persistent alcohol cravings, increased risk of relapsing after rehabilitation and likelihood of developing chronic diseases [16, 17]. Because alcoholics frequently have poor nutritional status, which is further exacerbated by alcohol’s effects on the body’s metabolism, nutritional approaches are useful in the treatment of recuperating alcoholic [18]. However optimal dietary intake should include a diet that is balanced, varied and sufficiently compensates for deficits in nutrients, as well as counteracts the alcohol-induced increase in oxidative stress [1]. Several limitations could, however, be stated for this study: reporting bias is possible given that food consumption frequencies were self-reported by respondents. Food consumption may be differentially reported since there is a well-established evidence of underreporting of dietary intakes among females and overreporting of dietary intakes among males, which may lead to an additional reporting bias [19]. The relationship between dietary patterns and the nutritional status of alcoholics, in addition to other nutritional parameters, remains to be established by appropriate prospective studies [4].

CONCLUSION

Nutrition promotion programs and evidence-based educational interventions are needed to promote healthy eating amongst alcoholics in an effort to limit related co-morbidities and improve alcohol rehabilitation. Further-more, more importance should be given to exploring dietary patterns rather than the intake of individual nutrients and foods in relation to health of a particular alcoholic. Further research is needed to explore determinants of dietary patterns among alcoholics more importantly, the association between identified dietary patterns and health outcomes.

COMPETING INTERESTS

The authors declare that no conflict of interests exists.

AUTHORS’ CONTRIBUTIONS

All authors were involved with the drafting of the research paper, critically reviewed the manuscript and approved the final version submitted for publication.

ACKNOWLEDGMENTS

The authors sincerely thank participants who shared their experiences, and contributed needed information to the study. All those contributed to the success of this study in one way or another are also recognized.

REFERENCES

1. Arun RF, Haggerty KP, Oesterle S, Fleming CB, Hawkins JD. The Importance of Bonding to School for Healthy Development: Findings from the Social Development Research Group. J School Health. 2004; 74: 252-261.

2. Hingson R, Edwards EM, Heeren T, Rosenbloom D. Age of Drinking Onset and Injuries, Motor Vehicle Crashes, Physical Fights after drinking and when not drinking. Alcohol Clinical Exp Res. 2009; 33: 783-790.

3. Breslow RA, Guenther PM, Juan W, Graubard BI. Alcoholic Beverage Consumption, Nutrient Intakes and Diet Quality in the US Adult Population, 1999 - 2006. J Am Diet Assoc. 2010; 110: 551-562.

4. Mutuli AM, Bukhala P, Nguka G. Impact of Instructional Intervention on Improving Dietary Intake of Alcoholics under Rehabilitation in Asumbi Center. J Nut Food Sci. 2018; 2155-9600.

5. Langat E, Wafula S, Ettyang G, Rotich J, Chelimo J. The Effect of Rehabilitation on Nutritional Status of Alcohol Dependent Males in Nairobi, Kenya. J Biol. 2014.

6. Maillot F, Farad S. Sussman S, Lamisse F. Alcohol and Nutrition. Pathol Biol. 2016; 4: 683-684.

7. Chesang RK. Drug Abuse among the Youth in Kenya. Int J Sci Technol Res. 2013; 2: 227-236.

8. Kuria MW, Ndetei DM, Obot S, Khasakhala LI, Bagaka BM, Mbugua MN, et al. The Association between Alcohol Dependence and Depression. Int Scholarly Res Network ISRN Psychiatr. 2012.

9. Mathew RJ. Eating to Prevent Alcohol Cravings and Relapse. 2016.

10. Kuria MW. Factors Associated with Relapse and Remission of Alcohol Dependent persons after Community Based Treatment. Open J Psychiatr. 2013; 3: 264-272.

11. Mutuli AL, Bukhala P, Nguka G. Factors Influencing Practice of Optimal Dietary Intake of Alcoholics under Rehabilitation in Asumbi-Homabay. Kenya J General Practice. 2017.

12. FAO. Guidelines for measuring household and individual dietary diversity. Rome: FAO Nutrition and Consumer Protection Division, EC/FAO Food Security Information for Action Programme and the Food and Nutrition Technical Assistance (FANTA) Project. 2010.

13. Breslow RA, Guenther PM, Juan W, Graubard BI. Alcoholic Beverage Consumption, Nutrient Intakes, and Diet Quality in the US Adult Population, 1999-2006. J Am Diet Assoc. 2010; 110: 551-562.

14. Azadbakht L, Haghighatdoost F, Feizi A. Esmaillzadeh A. Breakfast eating pattern and its association with dietary quality indices and anthropometric measurements in young women in Isfahan. Nutrition. 2013; 29: 420-425.

15. Naja F, Hwalla N, Itani L, Salem M, Azar. Dietary patterns and odds of Type 2 diabetes in Beirut, Lebanon: a case–control study. Nutr Metab (Lond). 2012; 9: 111.

16. Lutomski JE, vanden Broeck J, Harrington J, Shiely F, Perry IJ. Sociodemographic, lifestyle, mental health and dietary factors associated with direction of misreporting of energy intake. Public Health Nutrit. 2014; 14: 532-541.

17. Cutler GJ, Flood A, Hannan PJ, Slavin JL, Neumark-Sztainer D. Association between major patterns of dietary intake and weight status inadolescents and their stability overtime. J Nutrit. 2009; 139: 323-328.

18. Scribani M, Shelton J, Chapel D, Krupa N, WyckoffL, Jenkins P. Comparison of bias resulting from two methods of self-reporting height and weight: a validation study. JRSM Open. 2014.

19. Newby PK, Tucker KL. Empirically Derived Eating Patterns Using Factor or Cluster Analysis: A Review. Nutr Rev. 2004; 62: 177-203.

Mutuli LA, Bukhala P, Nguka G (2020) Dietary Intake Patterns of Alcoholics; a Case Study of Selected Rehabilitation Centers in Kenya. J Hum Nutr Food Sci 8(1): 1133.

Received : 09 Apr 2020
Accepted : 13 May 2020
Published : 15 May 2020
Journals
Annals of Otolaryngology and Rhinology
ISSN : 2379-948X
Launched : 2014
JSM Schizophrenia
Launched : 2016
Journal of Nausea
Launched : 2020
JSM Internal Medicine
Launched : 2016
JSM Hepatitis
Launched : 2016
JSM Oro Facial Surgeries
ISSN : 2578-3211
Launched : 2016
JSM Regenerative Medicine and Bioengineering
ISSN : 2379-0490
Launched : 2013
JSM Spine
ISSN : 2578-3181
Launched : 2016
Archives of Palliative Care
ISSN : 2573-1165
Launched : 2016
JSM Nutritional Disorders
ISSN : 2578-3203
Launched : 2017
Annals of Neurodegenerative Disorders
ISSN : 2476-2032
Launched : 2016
Journal of Fever
ISSN : 2641-7782
Launched : 2017
JSM Bone Marrow Research
ISSN : 2578-3351
Launched : 2016
JSM Mathematics and Statistics
ISSN : 2578-3173
Launched : 2014
Journal of Autoimmunity and Research
ISSN : 2573-1173
Launched : 2014
JSM Arthritis
ISSN : 2475-9155
Launched : 2016
JSM Head and Neck Cancer-Cases and Reviews
ISSN : 2573-1610
Launched : 2016
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
Annals of Pediatrics and Child Health
ISSN : 2373-9312
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
Author Information X