Loading

Journal of Addiction Medicine and Therapy

Assessing the Relationship between Tobacco Control School Policies and Adolescent Smoking in Israel: A Multilevel Analysis

Research Article | Open Access

  • 1. The Department of Health Systems Management, Ariel University, Israel
  • 2. School of Education, Bar Ilan University, Israel
+ Show More - Show Less
Corresponding Authors
Riki Tesler, School of Education, The Department of Health Systems Management, Ariel University, Israel, Tel: 9724543007323
Abstract

Cigarette smoking is one of the most dangerous behaviors affecting health. The World Health Organization (WHO) has stated that tobacco smoking is the second most common cause of death and is the fourth most dangerous risk factor for disease worldwide.

Health promotion policies can help reduce health-related risk behaviors and policies targeting risk behaviors have been gradually implemented across schools in Israel. This study identified the most effective school health promotion policy components and their association with risk behaviors, specifically tobacco smoking among adolescents.

Data from the random-sample Israeli 2011/12 Health Behavior in School-Aged Children (HBSC) survey was analyzed. This included interviews with 5,279 students in 95 Jewish public schools. In addition, 100 principals from the participating schools were interviewed to measure the extent of implementation of health promotion policies in their schools. A logistic hierarchical linear model (HLM) analysis was performed to simultaneously estimate the relationship between individual and school level factors with tobacco smoking.

Most variance in adolescent smoking was explained by student level variables including negative perceptions of school, lack of parental support for school issues, and time spent with friends. Among the school level measures, parental participation in health promotion intervention programs proved to be associated with lower rates of Adolescents Tobacco Smoking, over and above student characteristics. School health promotion policies should focus on parents’ participation in intervention programs and should seek to improve students’ perceptions of school and their sense of well-being to promote resilience.

Citation

Tesler R, Fisch YH, Kolobov T, Shtainmetz N, Nebutovsky I, et al. (2017) Assessing the Relationship between Tobacco Control School Policies and Adolescent Smoking in Israel: A Multilevel Analysis. J Addict Med Ther 5(1): 1028.

Keywords

•    Adolescence
•    Tobacco smoking
•    Health promotion
•    School policies

ABBREVIATIONS

HBSC: Health Behavior in School Aged Children

INTRODUCTION

Many studies indicate that experimentation with risk behaviors increases during adolescence [1,2]. Behaviors such as tobacco smoking are often a means for adolescents to gain recognition, control, and a sense of independence [3]. Rates of smoking tobacco for Israeli youth are among the highest of the countries participating in the Health Behavior in School-Aged Children (HBSC) study, yet only recently has the Israeli Ministry of Education begun encouraging school principals to adopt and implement a health promotion policy in their schools [4].

The current study is grounded in the bio-ecological model of Bronfenbrenner that defines four major levels of environmental influences [5,6]. In particular, the study focuses on student level (microsystem) and school level (mesosystem) variables that can potentially affect smoking. Individual (microsystem) factors that can predict risk behaviors among students include: parental support for issues related to school, students’ perceptions of the school, perceptions of their peers as agents for acquiring knowledge and time spent with friends [7].

School-related (mesosystem) factors refer mainly to components of a health promotion policy that include: agenda setting, school rules, interventions, student involvement, and parental involvement [8-10]. The school system influences students by constituting a universal and normative environment to which youth belong until around the age of 18. In addition to its educational role, the school is also an important setting from a health perspective and can serve as a platform for advancing health issues, potentially affecting students’ health-related attitudes and behaviors [10,11]. There is evidence linking policy and environmental change to desired youth tobacco use [12].

Schools and their existing infrastructure offer an ideal setting to impact students; indeed a coordinated approach to school health is the ecological model applied in the school setting [11,12]. A very significant factor contributing to a healthful environment at school is the establishment of a properly structured school health promotion policy under the guidance of the school principal [9,13]. The principal’s perceptions, management, and policies can directly affect the development and design of a viable health-behavior culture to be adopted by students and teachers alike. Numerous studies have found a correlation between health-promotion policies and positive changes among students for a variety of risk behaviors [14-16].

For example, studies have shown that enforcement of rules and implementation of intervention programs regarding tobacco smoking cessation significantly decreases student smoking rates [17,18]. Given these prior findings, this study attempts to examine the correlation between individual level (e.g. parental support in school matters, student perceptions of school and social involvement) and school level (e.g. school health policy) factors on risk behaviors among adolescents in Israel, with important implications for health promotion policies and interventions.

The goal of this study is to understand which factors at the student level (e.g., parental support on issues related to school, perceptions of the school and of the student, and social involvement), and school health promotion policy level (e.g., agenda setting, school rules, intervention, student involvement, and parental involvement), are associated with tobacco smoking. It was hypothesized that higher levels among the student level characteristics are associated with lower tobacco smoking. It was also hypothesized that increased levels of health promotion policies are associated with lower tobacco smoking.

MATERIALS AND METHODS

The current study is part of the multinational project Health Behavior in School-Aged Children (HBSC), undertaken under the auspices of the World Health Organization (WHO). The HBSC is a school-based survey of adolescent health, behaviors and psychosocial determinants, carried out internationally every four years, using a methodological protocol standardized across countries [19].

This anonymous, self-administered in class includes questions on risk behaviors, school perception, parental support, and social connectedness [19]. This study was based on the Israeli data from the 2011 HBSC-WHO cross-national survey of children in 6th, 8th, 10th and 12th grade. It included 5,279 students in 225 classrooms from 95 Jewish schools. The class level response rate was 94.5% with a 99% response rate of children enrolled in participating classes. Our study in 2011-2012 also included a survey of the principals of the sampled schools to ascertain the degree of adoption and implementation of a health promotion policy. Of the 160 principals surveyed, 100 principals’ responses were included in the study, after excluding those who were not from public secular or religious schools, lacked time or lacked interest in completing the survey. The Israeli HBSC research protocol received approval from the research ethics committees of both the Israeli Ministry of Education and Bar-Ilan University and this study was approved by the ethics of Ariel University. Data were collected with anonymous self-report questionnaires distributed in the classroom. Using the lists of classes and schools obtained from the Israeli Ministry of Education, a random stratified two-stage cluster sample was obtained. The sample unit was a classroom, stratified by region, type of school and grade level with a maximum of two classrooms within each sampled school allowed.

For the first time since the implementation of the WHO HBSC project in the early 1980s, to our knowledge, school principals were surveyed. A questionnaire was administered by the research team to the principals of schools in which the students were sampled. Interview topics for the principals included commitment to health promotion in the school, the existence of school policies for regulation and enforcement of tobacco use, implementation of intervention programs, and participation of students, parents and teachers in health promotion activities.

Measurements

Dependent variables: The student level dependent variable was tobacco smoking, assessed using the question-

‘How often do you smoke tobacco at present?’ with several categories of responses: ‘every day’, ‘at least once a week, but not every day’, ‘less than once a week’ or ‘never’. For analyses, a binary variable was created that compared those stating ‘I do not smoke’ against any level of smoking [20].

Level 1: Student Level Independent Variables: Level 1 independent variables were derived from self–reported data obtained from the student survey. Respondents’ gender (0=female, 1=male), age group (6th, 8th, 10-12th) sector (secular or religious) were included in all models. Additional student level demographic variables are described below.

Material wealth was assessed by summing the scores of four items which comprise the HBSC Family Affluence Scale 16 “The summed score (ranging between 0-9) was then dichotomized as 0=low/medium and 1 =High. These classifications have been used by several national surveys.16 Cronbach’s alpha was 0.81.

Parental support at school was measured by a five item scale related to readiness of parents to help the students, willingness to talk to teachers, encouragement to do well at school, interest in the student at school, and willingness to help with homework. Each item was measured on a 5-point scale (5=strongly agree; 1=strongly disagree). The resulting variable was built as an average of these questions. Cronbach’s alpha was 0.83.

Student school perceptions was measured as average of twelve questions concerning four different dimensions of the variable: 1) general school perceptions; 2) student social relationships; 3) teacher–pupil relations; 4) rules and regulations. The questions are detailed in a previous HBSC survey that highlights the importance of the psychosocial school environment to students’ health and health behavior.5 Responses were a Likert scale ranging from 1 to 5 (1=strongly agree; 5=strongly disagree). Cronbach’s alpha was 0.85.

Social connectedness involved measures of excess time spent with friends was measured by days a week spent with friends after school and evenings a week spent out with friends from (0 to 7). Responses were recorded as 1 (0-3 days/nights out with friends), 2 (4-5 days/nights) and 3 (6-7 days/nights) Test-retest reliability was found to be moderate but acceptably stable [19].

Level 2: School Level Variables: In the principals’ survey of the sampled schools, five factors were measured to assess the school’s level of health promotion: Principals’ commitment to health promotion in school was operationalized by the sum of the binary answers (1=yes, 0=no) to five different questions related to school mission statement referring to health promotion, health promotion implementation, membership in a health promoting school network, teacher hours dedicated to health promotion, and dedicating a staff member to health promotion. A higher summed score on the scale of 0-5 indicated a broader health promotion agenda in school. Cronbach’s alpha was 0.74.

School rules regarding risk behavior was measured by three questions with binary answers (1=yes, 0=no) regarding smoking-related rules at school, practices when rules are broken and controlling compliance with these rules A higher averaged score on the scale of 0-1 indicated a more consistent and strict applying of school rules. Cronbach’s alpha was 0.80.

Implementation of school policies was operationalized by averaging the principals’ answers to four questions (1=yes, a written policy; 2=yes, an informal policy; 3=no regarding a written policy about topics to be routinely discussed in lessons about smoking, having a program dedicated to health or mental health and having an anti-smoking program. A higher averaged score indicated a more activation an intervention program. Cronbach’s alpha was 0.77.

Student participation was operationalized using the principals’ responses to four statements about students being actively invited to participate in: development of school policies, organization of physical school environment, health promotion measure development, and planning and organizing school events. The responses involved a 5 point ordinal scale: never, rarely, sometimes, often and almost always. Answers were dichotomized as 1=yes (sometimes, often, almost always); 0=no (never or rarely). Cronbach’s alpha was 0.77. Parental participation was operationalized by averaging the principals’ responses to five statements: Parents of students in this school are actively invited to participate in: school policy development, organization of school physical environment, development of health promotion measures, planning school events, and health promotion school days. Responses involved a 5 point ordinal scale: never, rarely, sometimes, often and (almost) always. The items were dichotomized as 1=yes (sometimes, often, almost always); 0=no (never or rarely). Cronbach’s alpha was 0.87.

RESULTS AND DISCUSSION

The conceptual framework for the international comparisons involves variables at two levels. Therefore, in order to assess student and school level predictors of tobacco smoking behavior, we ran a three step multilevel model (Table 3). The null model decomposes the variance and estimates the intra-class correlation at 45%. Model 1 included all student level variables, which resulted in a reduction of 35% in the variance among schools.

Addition of the school level variables in Model 2 reduced the variance among schools by an even larger amount, 49% compared with the null model. The student level variables proved to be stable between Table 1 and Table 2, except for the sector (religious or secular) variable that became significant in the latter. Table 2 indicated that boys smoke 1.38 times more than girls and that smoking prevalence are 5.28 times greater in the higher grades than in the lower ones. Students from the secular schools are 1.67 times more likely to smoke than their peers in the religious schools, and more time spent with friends is associated with an increase of 64% in the smoking rate. As for the school level predictors, only parental participation was a significant predictor of smoking behavior, with a 36% lower rate of tobacco smoking in schools that have greater parental involvement.

Risk behaviors among adolescents are major public health concerns [1-4]. School constitutes an environment in which youth spend the majority of their day and the majority of the years during which they develop and mature [9,12]. Consequently, school is an appropriate framework through which to address these issues [10,11]. The current study focused on exploring which individual and school level factors correlate with adolescent tobacco smoking in Israel.

The results confirmed the student level hypothesis of lower prevalence of risk behaviors when parental support, school perception or social connectednesses are higher. These findings are in accordance with previous studies showing that higher parental support and parental involvement in school matters are linked with lower rates of tobacco smoking [14-16]. In addition, this study showed that students who report negative school perceptions are more likely to report higher rates of risk-taking behaviors compared to students with positive school perceptions, consistent with previous findings about the relationship between school perception and tobacco smoking [11,17,21].

When school was perceived as a safe, structured and helpful place, students in this study were more likely to feel a sense of belonging, and the school then became a protective factor against starting to smoke tobacco. In addition, social involvement was found to influence tobacco smoking. We found that the more students are engaged in social interactions, the more likely they were to smoke tobacco. This can potentially be explained by adolescents’ developmental characteristics, such as egocentrism, the tendency to conform, and to spend an increasing amount of time with friends [20].

This finding could also be explained by the increasing need to adjust and the fear of social criticism during adolescence, which may lead to experimentation with risk; these behaviors may be perceived to be the solution to feeling different, being criticized and wanting to impress [3]. In addition, the increasing amount of time adolescents spend away from parental supervision and the decrease of positive familial interaction may lead to negative interactions and the connection to risk behaviors [8,17].

The school level hypothesis that school structure and health policy variables were related to the risk and health behaviors of young people was only partly confirmed. No significant association was found between health promotion policies and risk behaviors and few school characteristics were linked with students’ health behaviors. However, among the school level measures, parental participation in health promotion intervention programs did prove to be associated with lower rates of risk behaviors such as smoking, over and above student characteristics.

In this study, greater parental involvement in developing, organizing and implementing school’s health promotion policies was significantly linked to lower rates of tobacco smoking among participants. This finding is in accordance with the scientific literature, which emphasizes the importance of different ecological systems to a person’s wellbeing [5-8,18]. This finding also shows the importance of parents, students and teachers coming together to lower risk behavior rates.

Table 1: Descriptive Statistics for Student Level Variables (N = 5279).

Variable        
Gender Boys Girls    
  52% 48%    
Age group 6 th 8 th 10th -12th  
  27% 22% 50%  
Sector Secular Religious    
  73% 27%    
    low+    
Family Affluence Scale        
  High Medium    
  31% 69%    
  Mean SD Min Max
Parental support 4.57 0.59  1  5
Negative school perception 2.46 2.51  1  5
Time spent with friends 2.56 1.51  0  7

Table 2: School Level Variables (N = 146).

Variable  N Mean SD Min Max
Principal's commitment to health promotion 95 0.28 0.32  0  1
School Rules about Smoking 95 0.86 0.3  0  1
Intervention program 95 1.16 0.58  0  2
Student participation in health promotion 95 3.44 0.59  1  5
Parental participation in health promotion 95 3.07 0.89  1  5

Table 3: HLM Models Predicting Adolescent Tobacco Smoking.

Smoking Model 0      Model 1     Model 2    
                   
  B OR OR CI B OR OR CI B OR OR CI
                   
Intercept -2.07***   0.13 0.09,0.17 3.9***   0.02 0.00,0.08 3.33***  0.04 0.01,0.13
Student level variables:                  
Gender       -0.36* 0.7 0.51,0.94 -0.32* 0.72 0.52,0.99
Age group       2.78*** 16.14 8.65,30.11 1.66*** 5.28 2.09,13.33
Sector       0.32 1.37 0.71,2.61 0.54* 1.72 1.00,2.93
Family Affluence Scale       0.1 1.1 0.78,1.53 0.1 1.1 0.78,1.54
Parental support       0.47*** 0.63 0.51,0.76 0.51*** 0.6 0.48,0.74
Negative perceptions of school        0  1 0.94,1.05  0  1 0.94,1.05
Time spent with friends       0.48*** 1.62 1.46,1.78 0.49*** 1.64 1.48,1.81
School level variables:                  
Agenda setting             0.29 1.34 0.67,2.65
School rules             1.15 3.15 0.87,11.39
Intervention               0   1 0.52,1.90
Students involvement             0.06 1.07 0.71,1.58
Parental involvement             1.03*** 0.36  0.24,0.51
Variance components:                  
u0 2.75     1.77     1.4    
level-1, r 0.69     0.72     0.76    
Note: *p < .05; **p < .01; ***p < .001.
CONCLUSION

This study provides new insight into the links between adolescents’ ecology system and tobacco use from early adolescence to early adulthood. The multilevel analysis performed adds to our understanding of the factors that contribute to risk behaviors of youth by identifying consistent relationships between individual and school level characteristics and risk behaviors. It emphasizes the positive influence of parental participation in intervention programs, as part of the development, planning and implementation of school health promotion policies to reduce risk-taking behaviors and improve students’ well-being.

ACKNOWLEDGEMENTS

This study used the HBSC-protocol of the 2011 WHO/EURO cross-national survey. The Israeli principal investigator of the 2012 survey is Yossi Harel-Fisch, Ph.D., of Bar-Ilan University.

REFERENCES

1. Peirson L, Ali MU, Kenny M, Raina P, Sherifali D. Interventions for prevention and treatment of tobacco smoking in school-aged children and adolescents: A systematic review and meta-analysis. Prev Med. 2016; 85: 20-31.

2. World Health Organization- WHO report on the global tobacco epidemic: enforcing bans on tobacco advertising, promotion and sponsorship. World Health Organization. 2013.

3. Han J, Chen X. A meta-analysis of cigarette smoking prevalence among adolescents in China: 1981–2010. Int J Environ Res Public Health. 2015; 12: 4617-4630.

4. Currie C, Zanotti C, Morgan A, Currie D, de Looze M. Social determinants of health and well-being among young people: Health Behaviour in School-aged Children (HBSC) study: international report from the 2009/ 2010 survey Copenhagen, Denmark: WHO.

5. Bronfenbrenner U. The Ecology of Human Development: Experiments by Nature and Design. Cambridge, Massachusetts: Harvard University Press, 1979.

6. Bronfenbrenner U, Morris PA. The bioecological model of human development. In: Damon W, Lerner RM, editors. Handbook of Child Psychology. New York, NY: John Wiley & Sons. 2006.

7. Onwuegbuzie AJ, Collins KMT, Frels RK. Foreword: Using Bronfenbrenner’s ecological systems theory to frame quantitative, qualitative, and mixed research. Mixed Methods Research: Philosophy, Policy and Practice in Education. Int J Multi Res Appro. 2013; 7: 2-8.

8. Shepard J, Carlson JS. An empirical evaluation of school-based prevention programs that involve parents. Psychol Schs. 2003; 40: 641-656.

9. Agron P, Berends V, Ellis K, Gonzalez M. School wellness policies: perceptions, barriers, and needs among school leaders and wellness advocates. J Sch Health. 2010; 80: 527-535.

10. Denny SJ, Robinson EM, Utter J, Fleming TM, Grant S, Milfont TL, et al. Do schools influence student risk-taking behaviors and emotional health symptoms? J Adolesc Health. 2011; 48: 259-267.

11. Saab H, Klinger D. School differences in adolescent health and wellbeing: Findings from the Canadian health behavior in school-aged children study. Soc Sci Med. 2010; 70: 850-858.

12. Adams LM, Jason LA, Pokorny S, Hunt Y. The relationship between school policies and youth tobacco use. J Sch Health. 2009; 79: 1-8.

13. Molaison EF, Carr DH. School wellness policy: Readiness of principals implement change. Oxford, Mississippi: National Food Service Management Institute: The University of Mississippi. 2006.

14. Rutten A, Gelius P, Abu-Omer K. Policy development and implementation in health promotion- from theory to practice: the ADEPT model. Health Promot Int. 2010; 26: 322-329.

15. Thomas RE, McLellan J, Perera R. Effectiveness of school-based smoking prevention curricula: systematic review and meta-analysis. BMJ Open. 2015; 5: e006976.

16. Whitman CV, Aldinger CE. Case Studies in Global School Health Promotion: from Research to Practice. New York, NY: Springer. 2009.

17. Brown T, Platt S, Amos A. Equity impact of interventions and policies to reduce smoking in youth: systematic review. Tob Control. 2014; 23: 98-105.

18. Eldredge LK, Markham CM, Kok G, Ruiter RA, Parcel GS. Planning health promotion programs: an intervention mapping approach. John Wiley & Sons. 2016.

19. Currie C, Inchley J, Molcho M, Lenzi M, Veselska Z, Wild F, eds. Health Behavior in School-aged Children (HBSC) Study Protocol: Background, Methodology and Mandatory Items for the 2013/14 Survey. St Andrews, Scotland: University of St Andrews, Child and Adolescent Health Research Unit. 2014.

20. Godeau E, Rahav G, Hublet A. Currie C, Roberts C, Morgan A, et al. Tobacco smoking, Young people’s health in context – Health Behaviour in School-aged Children (HBSC) study: International report from the 2001/02 survey, Copenhagen. WHO-Europe; 2004: 63-72.

21. Alexander C, Piazza M, Mekos D, Valente T. Peers, schools, and adolescent cigarette smoking. J Adol Health. 2001; 29: 22-30.

Tesler R, Fisch YH, Kolobov T, Shtainmetz N, Nebutovsky I, et al. (2017) Assessing the Relationship between Tobacco Control School Policies and Adolescent Smoking in Israel: A Multilevel Analysis. J Addict Med Ther 5(1): 1028

Received : 02 May 2017
Accepted : 18 Jun 2017
Published : 22 Jun 2017
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
Journal of Human Nutrition and Food Science
ISSN : 2333-6706
Launched : 2013
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 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