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Abstract

Background: Virtual betting activities have emerged as an increasing digital risk behaviour among young people, particularly with the easy availability of internet-based betting platforms and applications. Inadequate awareness regarding the contributing factors and ill effects of virtual betting activities may negatively influence students’ behaviour, academic performance, financial well-being, and overall health. Nursing students, as future health professionals, need adequate knowledge regarding such emerging behavioural and digital health risks. Therefore, the present study was undertaken to evaluate the effectiveness of a planned teaching programme on knowledge regarding contributing factors and ill effects of virtual betting activities among nursing students. Objective: • To assess the knowledge regarding contributing factors and ill effects of virtual betting activities among nursing students. •To evaluate the effectiveness of planned teaching programme on knowledge regarding contributing factors and ill effects of virtual betting activities among nursing students. •To compare the pre-test and post-test knowledge scores regarding contributing factors and ill effects of virtual betting activities among nursing students. •To find out the association between the pre-test knowledge score regarding contributing factors and ill effects of virtual betting activities and selected socio-demographic variables among nursing students. Methodology: A quantitative research approach with a quasi-experimental research design was adopted for the study. The study was conducted among 60 nursing students studying at a selected college of Bareilly, Uttar Pradesh. The participants were selected using a non-probability convenient sampling technique. Data were collected using a socio-demographic proforma and a structured knowledge questionnaire regarding contributing factors and ill effects of virtual betting activities. A pre-test was conducted, followed by the administration of a planned teaching programme. The post-test was conducted after 7 days using the same structured knowledge questionnaire. The collected data were analysed using descriptive and inferential statistics. Results: The findings revealed that in the pre-test, 39 (65.0%) nursing students had poor knowledge, 21 (35.0%) had average knowledge and none had good knowledge. Following administration of the planned teaching programme, the post-test findings showed that 42 (70.0%) students had average knowledge, 18 (30.0%) had good knowledge, and none remained in the poor knowledge category. The mean pre-test knowledge score was 9.25 ± 3.27, which increased to 18.30 ± 4.26 in the post-test, with a mean difference of 9.05. The calculated paired t-value was 31.36 with df = 59, which was statistically significant at p < 0.001, indicating that the planned teaching programme was effective in improving the knowledge of nursing students regarding contributing factors and ill effects of virtual betting activities. No statistically significant association was found between the pre-test knowledge score and selected socio-demographic variables, including age, gender, type of family, course and year of study, daily digital betting duration, previous awareness regarding virtual betting activities, and source of information. Conclusion: The study concluded that nursing students had inadequate knowledge regarding contributing factors and ill effects of virtual betting activities before the intervention. The planned teaching programme was found to be effective in significantly improving their knowledge. Therefore, planned teaching programmes may be used as an effective educational strategy to strengthen awareness regarding virtual betting activities and their potential ill effects among nursing students.

Keywords

Virtual Betting Activities Planned Teaching Programme, Knowledge, Contributing Factors, Ill Effects, Nursing Students.

Introduction

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The rapid advancement of digital technology has transformed almost every aspect of human life, including communication, education, healthcare, entertainment, banking, and financial transactions.1 Easy access to smartphones, high-speed internet, digital payment systems, and mobile applications has created countless opportunities for learning and social interaction. However, these technological developments have also introduced several new behavioural risks, one of the most concerning being the rapid expansion of virtual betting activities. Unlike conventional gambling, virtual betting allows individuals to place bets instantly through online platforms without visiting physical betting centres.2 The convenience of round-the-clock accessibility, instant payment methods, and continuous promotional advertisements has made virtual betting increasingly attractive, particularly among adolescents and young adults.3

Virtual betting refers to the placement of wagers on digitally simulated sporting events, casino games, fantasy sports, electronic gaming platforms, or other online events using websites or mobile applications. These activities may involve real money or virtual currency and are designed to provide immediate betting opportunities within a short period.4 In recent years, virtual betting has evolved into a rapidly growing global industry. Continuous technological innovations, widespread smartphone ownership, expansion of online payment services, and increasing digital literacy have accelerated the growth of internet-based gambling platforms worldwide. 6 According to recent international evidence, millions of individuals participate in various forms of online betting every year, with sports betting representing one of the fastest-growing sectors.7 Scientific research indicates that digital betting platforms have become more engaging than traditional gambling because they provide immediate results, shorter betting cycles, and constant opportunities to place multiple bets within a limited period. Such features encourage repetitive gambling behaviour and increase the likelihood of excessive betting among vulnerable individuals. 8

NEED FOR STUDY

Scientific evidence strongly indicates that online betting is associated with greater health risks than traditional forms of gambling. A 2024 systematic review and meta-analysis published in The Lancet Public Health, which included representative data from 68 countries, reported that approximately 46.2% of adults and 17.9% of adolescents had participated in gambling during the previous year. More importantly, the prevalence of problem gambling among individuals involved in online casino and virtual betting reached 15.8%, compared with only 1.41% in the general adult population. These findings demonstrate that online betting substantially increases the likelihood of gambling-related harm and behavioural addiction, emphasizing the urgent need for preventive educational interventions among young people. 9

Young adults enrolled in colleges and universities constitute one of the most vulnerable populations because they frequently use smartphones, internet-based applications, digital payment systems, and social media platforms. Exposure to aggressive online advertisements, promotional bonuses, peer influence, curiosity, financial expectations, and the misconception of earning quick money often motivates students to experiment with virtual betting applications. 10

International research has consistently demonstrated that gambling-related harm extends far beyond financial loss. Studies have reported strong associations between problematic online betting and anxiety, depression, chronic stress, sleep disturbances, reduced academic performance, impaired concentration, poor decision-making, impulsive behaviour, substance use, and suicidal thoughts. Such multidimensional consequences highlight that virtual betting affects not only individual health but also educational achievement, family relationships, workplace productivity, and community well-being. Consequently, many researchers now recommend that gambling prevention should be integrated into educational and public health programmes targeting adolescents and young adults.11

Although virtual betting has become increasingly popular worldwide, there is a noticeable shortage of research focusing on knowledge regarding virtual betting activities among nursing students, particularly within the Indian context. Most available studies have primarily investigated gambling prevalence, addiction, or psychological outcomes among the general population, while relatively few have assessed whether nursing students possess adequate knowledge regarding the contributing factors, warning signs, health consequences, legal aspects, and preventive strategies related to virtual betting. This lack of evidence suggests that important educational needs remain unaddressed within nursing institutions.12

Considering the increasing accessibility of virtual betting platforms, the growing participation of young adults in online betting, the limited awareness regarding its contributing factors and ill effects, the scarcity of Indian research involving nursing students, and the professional responsibility of nurses in promoting behavioural health, the investigator considered it essential to conduct the present study. Evaluating the effectiveness of a Planned Teaching Programme will provide evidence regarding its usefulness in improving knowledge among nursing students and may contribute to the development of educational strategies aimed at preventing gambling-related harm within educational institutions and the wider community.13

Therefore, the present study is undertaken to evaluate the effectiveness of a Planned Teaching Programme on knowledge regarding the contributing factors and ill effects of virtual betting activities among nursing students. The findings of the study will help in assessing the existing level of knowledge, identifying educational gaps, and determining the effectiveness of a structured teaching programme in improving students' awareness. The results may also assist nurse educators, educational institutions, and health professionals in developing appropriate educational strategies to prevent virtual betting-related harm and promote responsible digital behaviour among nursing students.

OBJECTIVE OF THE STUDY

1. To evaluate the effectiveness of planned teaching program on virtual betting activities among nursing students.

2. To find out the association between the pre-test knowledge score of nursing students with their selected to two demographic variables.

HYPOTHESIS

H1: There will be significant difference between pre-test and post-test knowledge score regarding contributing factors and ill effects of virtual betting activities among nursing students.

H2: There will be a significant association between the pre-test knowledge scores of nursing students and their selected demographic variables on virtual betting activities.

MATERIALS & METHODS:

ANALYSIS AND INTERPRETATION:

Table 1: Frequency and Percentage Distribution of Nursing Students in Terms of Demographic Variables N = 60

S. No.

Socio-Demographic Variables

Frequency (f)

Percentage (%)

1

Age (in years)

a) Below 18 years

20

33.3

b) 18–25 years

37

61.7

c) 26–35 years

3

5.0

d) Above 35 years

0

0.0

2

Gender

a) Male

31

51.7

b) Female

29

48.3

3

Type of Family

a) Nuclear

30

50.0

b) Joint

20

33.3

c) Extended

7

11.7

d) Single-parent

3

5.0

4

Course & Year of Study

a) B.Sc. Nursing 1st Semester

34

56.7

b) GNM 1st Year

26

43.3

5

Daily Digital Betting Duration

a) No Participation

57

95.0

b) 1–3 hours per day

3

5.0

c) 4–6 hours per day

0

0.0

d) More than 6 hours per day

0

0.0

6

Have you heard about virtual betting activities before?

a) Yes

26

43.3

b) No

34

56.7

7

Source of Information

a) Social media

28

46.7

b) Friends/Peers

15

25.0

c) Television/News

7

11.7

d) Internet/Website

10

16.7

Table 10: Comparison of the pre-test and post-test level of knowledge score

Level of Knowledge

Score

Pre-test Frequency (f)

Pre-test Percentage

(%)

Post-test Frequency

(f)

Post-test Percentage

(%)

Poor Knowledge

0–10

39

65.0

0

0.0

Average Knowledge

11–20

21

35.0

42

70.0

Good Knowledge

21–30

0

0.0

18

30.0

Total

0–30

60

100.0

60

100.0

Table 11: Effectiveness of Planned Teaching Programme and Testing of the Research Hypothesis N=60

Test

Mean

Standard Deviation

Mean Difference

Calculated “t” Value

df

p-value

Pre-test

9.25

3.27

9.05

31.36

59

<0.001

Post-test

18.30

4.26

 

 

 

 

Table 12: Association between the pre-test level of knowledge score and the selected demographic variables of adolescent girls.

S.

No.

Demographic Data

Poor Knowledge

n (%)

Average Knowledge

n (%)

Good Knowledge

n (%)

Chi-Square (χ²)

df

p-value

Result

1

Age (in years)

a) Below 18 years

12 (60.0)

8 (40.0)

0 (0.0)

1.994

2

0.369

NS

b) 18–25 years

26 (70.3)

11 (29.7)

0 (0.0)

c) 26–35 years

1 (33.3)

2 (66.7)

0 (0.0)

d) Above 35 years

0 (0.0)

0 (0.0)

0 (0.0)

2

Gender

a) Male

18 (58.1)

13 (41.9)

0 (0.0)

1.356

1

0.244

NS

b) Female

21 (72.4)

8 (27.6)

0 (0.0)

3

Type of Family

a) Nuclear

19 (63.3)

11 (36.7)

0 (0.0)

0.167

3

0.983

NS

b) Joint

13 (65.0)

7 (35.0)

0 (0.0)

c) Extended

5 (71.4)

2 (28.6)

0 (0.0)

d) Single-parent

2 (66.7)

1 (33.3)

0 (0.0)

4

Course & Year of Study

0.361

1

0.548

NS

a) B.Sc. Nursing 1st Semester

21 (61.8)

13 (38.2)

0 (0.0)

0.361

1

0.548

NS

b) GNM 1st Year

18 (69.2)

8 (30.8)

0 (0.0)

REFERENCES

  1. Xia L, Baghaie S, Sajadi SM. The digital economy: Challenges and opportunities in the new era of technology and electronic communications. Ain Shams Engineering Journal. 2024 Feb 1;15 (2):102411.
  2. Hing N, Smith M, Rockloff M, Thorne H, Russell AM, Dowling NA, Breen H. How structural changes in online gambling are shaping the contemporary experiences and behaviours of online gamblers: An interview study. BMC Public Health. 2022 Aug 26;22 (1):1620.
  3. Orford J. The gambling establishment: Challenging the power of the modern gambling industry and its allies. Routledge; 2019 Sep 5.
  4. Schull ND. Digital gambling: The coincidence of desire and design. The Annals of the American Academy of Political and Social Science. 2005 Jan;597 (1):65-81.
  5. Jelfs A, Richardson JT. The use of digital technologies across the adult life span in distance education. British Journal of Educational Technology. 2013 Mar;44 (2):338-51.
  6. Wood RT, Williams RJ. Internet gambling: Prevalence, patterns, problems, and policy options.
  7. Wardle H, Degenhardt L, Marionneau V, Reith G, Livingstone C, Sparrow M, Tran LT, Biggar B, Bunn C, Farrell M, Kesaite V. The lancet public health commission on gambling. The Lancet Public Health. 2024 Nov 1;9 (11):e950-94.
  8. Wardle H, Degenhardt L, Marionneau V, Reith G, Livingstone C, Sparrow M, Tran LT, Biggar B, Bunn C, Farrell M, Kesaite V. The lancet public health commission on gambling. The Lancet Public Health. 2024 Nov 1;9 (11):e950-94.
  9. Messerlian C, Derevensky J, Gupta R. Youth gambling problems: A public health perspective. Health promotion international. 2005 Mar 1;20 (1):69-79.
  10. Amponsah EB. Investigating the social influence of gambling advertisement on basic schools-a case study of Sempe West Basic School James Town, Accra (Doctoral dissertation, University of Education, Winneba).
  11. Monreal-Bartolomé A, Barceló-Soler A, García-Campayo J, Bartolomé-Moreno C, Cortés-Montávez P, Acon E, Huertes M, Lacasa V, Crespo S, Lloret-Irles D, Sordo L. Preventive gambling programs for adolescents and young adults: A systematic review. International Journal of Environmental Research and Public Health. 2023 Mar 7;20 (6):4691.
  12. Singh K, Alomari AM, Sayed HM, Mannethodi K, Kunjavara J, Joy GV, Hassan N, Martinez E, Lenjawi BA. Barriers and solutions to the gap between theory and practice in nursing services: A systematic review of qualitative evidence. InNursing Forum 2024 (Vol. 2024, No. 1, p. 7522900). Wiley.
  13. Akçayır M, Nicoll F, Baxter DG. Emerging gambling problems and suggested interventions: A systematic review of empirical research. Journal of Gambling Studies. 2023 Jun;39 (2):857-82.

Reference

  1. Xia L, Baghaie S, Sajadi SM. The digital economy: Challenges and opportunities in the new era of technology and electronic communications. Ain Shams Engineering Journal. 2024 Feb 1;15 (2):102411.
  2. Hing N, Smith M, Rockloff M, Thorne H, Russell AM, Dowling NA, Breen H. How structural changes in online gambling are shaping the contemporary experiences and behaviours of online gamblers: An interview study. BMC Public Health. 2022 Aug 26;22 (1):1620.
  3. Orford J. The gambling establishment: Challenging the power of the modern gambling industry and its allies. Routledge; 2019 Sep 5.
  4. Schull ND. Digital gambling: The coincidence of desire and design. The Annals of the American Academy of Political and Social Science. 2005 Jan;597 (1):65-81.
  5. Jelfs A, Richardson JT. The use of digital technologies across the adult life span in distance education. British Journal of Educational Technology. 2013 Mar;44 (2):338-51.
  6. Wood RT, Williams RJ. Internet gambling: Prevalence, patterns, problems, and policy options.
  7. Wardle H, Degenhardt L, Marionneau V, Reith G, Livingstone C, Sparrow M, Tran LT, Biggar B, Bunn C, Farrell M, Kesaite V. The lancet public health commission on gambling. The Lancet Public Health. 2024 Nov 1;9 (11):e950-94.
  8. Wardle H, Degenhardt L, Marionneau V, Reith G, Livingstone C, Sparrow M, Tran LT, Biggar B, Bunn C, Farrell M, Kesaite V. The lancet public health commission on gambling. The Lancet Public Health. 2024 Nov 1;9 (11):e950-94.
  9. Messerlian C, Derevensky J, Gupta R. Youth gambling problems: A public health perspective. Health promotion international. 2005 Mar 1;20 (1):69-79.
  10. Amponsah EB. Investigating the social influence of gambling advertisement on basic schools-a case study of Sempe West Basic School James Town, Accra (Doctoral dissertation, University of Education, Winneba).
  11. Monreal-Bartolomé A, Barceló-Soler A, García-Campayo J, Bartolomé-Moreno C, Cortés-Montávez P, Acon E, Huertes M, Lacasa V, Crespo S, Lloret-Irles D, Sordo L. Preventive gambling programs for adolescents and young adults: A systematic review. International Journal of Environmental Research and Public Health. 2023 Mar 7;20 (6):4691.
  12. Singh K, Alomari AM, Sayed HM, Mannethodi K, Kunjavara J, Joy GV, Hassan N, Martinez E, Lenjawi BA. Barriers and solutions to the gap between theory and practice in nursing services: A systematic review of qualitative evidence. InNursing Forum 2024 (Vol. 2024, No. 1, p. 7522900). Wiley.
  13. Akçayır M, Nicoll F, Baxter DG. Emerging gambling problems and suggested interventions: A systematic review of empirical research. Journal of Gambling Studies. 2023 Jun;39 (2):857-82.

Photo
Mohd. Salim
Corresponding author

Rohilkhand College of Nursing, Bareilly, Uttar Pradesh

Photo
Mohammad Arzoo
Co-author

Rohilkhand College of Nursing, Bareilly, Uttar Pradesh

Photo
Mohd. Aakil
Co-author

Rohilkhand College of Nursing, Bareilly, Uttar Pradesh

Photo
Mohd. Soyeb
Co-author

Rohilkhand College of Nursing, Bareilly, Uttar Pradesh

Photo
Mrs. Akanksha Emmanuel
Co-author

Rohilkhand College of Nursing, Bareilly, Uttar Pradesh

Photo
Mrs. Karishma Goswami
Co-author

Rohilkhand College of Nursing, Bareilly, Uttar Pradesh

Mohd. Salim*, Mohd. Soyeb, Mohammad Arzoo, Mohd Aakil, Akanksha Emmanuel, Karishma Goswami, “A Quasi Experimental Study to Evaluate the Effectiveness of Planned Teaching Program on Knowledge Regarding Contributing Factors and Ill Effects of Virtual Betting Activities Among Nursing Students at Selected College of Bareilly, U.P.”, Int. J. Sci. R. Tech., 2026, 3 (11), 267-272. https://doi.org/10.5281/zenodo.23974592

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