Compulsive buying disorder (CBD) among medical students in colleges of medicine, dentistry and pharmacy at King Saud University in Riyadh
Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
Address for correspondence: Dr. Alkaseem A. Binobaid, Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia. E-mail: alkaseembinobaid@gmail.comABSTRACT
Background:
Compulsive buying disorder (CBD) is a dysfunctional chronic and extreme consumer attitude that attributes to negative overall impact on psychological and mental wellbeing.
Objective:
This study was aimed to examine the prevalence of compulsive buying disorder (CBD) among medical college students, particularly from colleges of medicine, dentistry and pharmacy. Secondary to this, we also examined (i) the association between sociodemographic factors and CBD; and (ii) the association between the five factors of CBD as per (II) Edward’s Compulsive Buying Scale (ECBS) and participants’ gender.
Method:
This cross-sectional survey was conducted among 263 college students from the colleges of medicine, dentistry and pharmacy of King Saud University from February till March 2021.
Results:
The results showed that the majority of participants were male (144, 54.8%) with mean age 20.1 ± 3.1 (range: 17–23); statistically significant difference was observed in compulsive buying disorder with respect to gender (P-value = 0.02), field of study (P < 0.0001) and educational year (P = 0.03).
Conclusion:
The study concluded that the prevalence of compulsive buying among university students was more frequent among female students in comparison to male students in Riyadh city. This study provided baseline data for the estimation of CBD prevalence among adolescent and youth in KSA, particularly Riyadh city.
Introduction
Compulsive buying disorder (CBD) or oniomania is a maladaptive buying attitude defined as frequent impulses or compulsive buying desires resulting in significant social, personal, occupational and financial distress.[1] This dysfunctional chronic and extreme consumer attitude attributes to negative overall impact on psychological and mental wellbeing.[2] Largescale epidemiological studies reported its global prevalence as 4.9% with variability in between (3.6% to 31.9%).[34] At least 6% of the adolescent population are compulsive buyers. The prevalence of compulsive buying among university students was 8.3% with more tendency associated with female and young students.[5] Various financial constrains such as large debts, difficulty in paying debts, financial legal consequences, and criminal legal problems.[6] It has been estimated that compulsive buying affects from 2% to 8% of the general adult population in the US and 6% to 7% worldwide.[7]
The compulsive buying mania is intellectualized as an uncontrollable urge to purchase goods and characterized as a psychopathological disease.[8] Previous studies showed significant association between CBD and other psychiatric disorders including depressive and generalized anxiety disorder (GAD),[6] anxiety disorders particularly obsessive compulsive disorder (OCD), substance usage (alcohol or smoking), bulimia nervosa and binge eating disorder, and more recently attention deficit hyperactivity disorder (ADHD).[9] Gender plays a significant role, in which 80%–95% of those affected in the US are female.[7] Another study conducted at the University Of Sao Paulo, Brazil, reported that male and female compulsive buyers did not differ in problem severity as assessed by the Compulsive Buying Scale.[10] Different instruments operationalized to estimate prevalence of compulsive buying include (II) Edward’s Compulsive Buying Scale (ECBS) by Faber and O’guinn,[11] Yale-Brown Obsessive-Compulsive Scale Shopping Version” by Monahan et al.[12]
To estimate the prevalence of CBD among adolescent and university students, most of the studies were conducted in Europe and America to estimate CBD and develop policies and guidelines accordingly. Therefore, this study was aimed to examine the prevalence of CBD among medical college students, particularly from colleges of medicine, dentistry and pharmacy at King Saud University. Secondary to this, we also examined (i) the association between sociodemographic factors and CBD; and (ii) the association between the five factors of CBD as per ECBS and participant’s gender [Supplement 1].
Material and Methods
Study design and setting
This descriptive, quantitative research design and cross-sectional survey was conducted among students from the colleges of medicine, dentistry and pharmacy at King Saud University, Riyadh, Kingdom of Saudi Arabia over the period of February 2021 to March 2021. The study was conducted after approval from ethics committee and as per the guidelines of declaration of Helsinki.
Study population, inclusion and exclusion criteria
The study recruited a total of 263 subjects through convenience sampling technique from all three colleges of medicine, dentistry and pharmacy. The sample size was calculated using the WHO Calculator. The study initially recruited 280 students; however, the survey form was returned by 263 participants with a response rate of 93.9%. The included participants were both male and female, aged between 17 and 23 years and willing to participate in the study; they were undergraduate students and capable of understanding Arabic or English language. All students unwilling to provide informed consent and from other departments were excluded.
Procedure
The study objective was explained to all enrolled participants in the local language or English by two researchers in detail and informed consent was obtained from all participants. A questionnaire consisting of two sections, that is, (i) socio-demographic details and (ii) Edward’s Compulsive Buying Scale (ECBS), were used to identify how compulsive participants were in their shopping behavior. After completion, the questionnaire was collected from participants and data was extracted by the researcher to identify prevalence of compulsive buyers. The participants with CBD were further evaluated for any impact of their sociodemographic factors on CBD and the presence of five ECBS factors on the basis of gender.
Characteristics measurement tools
(I) Sociodemographic data collection tool
- The demographic characteristics and socio-economic status of the enrolled participants was assessed through a self-administered data collection tool prepared by the investigator and incorporated as section A in the survey questionnaire. It consisted of 12 items including participant’s age, gender, educational details, and marital status, self and family income and spending pattern.
(II) Edward’s Compulsive Buying Scale (ECBS).
ECBS is a reliable and well-validated tool consisting of thirteen items used to assess emotional and financial reactions of participants to identify compulsive buying behavior. The scale consisted of five factors including “lack of control related to shopping, compulsion to spend or mood modification, post purchase guilt, spending tendency or unnecessary spending, and feelings about shopping”.[11] The response to each question in the scale was scored on a five-point Likert scale (1–5) consisting of strongly disagree, disagree, neutral, agree, and strongly agree. Scores to assess the participant’s compulsive buying behavior ranged from 13 to 65 and a cutoff value of 42.2 and above was considered as an indicator of compulsive buying behavior.
Data analysis
Data was analyzed using the Statistical Package for the Social Sciences (SPSS) version 22.00 for Windows (IBM Corporation, Armonk, NY, USA). Descriptive statistics were used. Chi-squared test was used for categorical variables, and P < 0.05 was considered as statistically significant.
Results
Preceding to the questionnaire distribution, its items were assessed for their reliability through Cronbach alpha coefficients. The value achieved for the twenty-five items of the questionnaire was found to be 0.917, pointing out its increased reliability [Table 1].
| Cronbach’s Alpha | No. of Items |
|---|---|
| 0.917 | 25 |
The study participant’s baseline demographic and socioeconomic characteristics are displayed in Table 2. The results showed that a majority of the student participants were male (144, 54.8%) with a mean age of 20.1 ± 3.1 (range: 17–23). The mean age of female participants was 19.56 ± 2.9. One hundred forty-eight participants (69%) were Saudi nationals. One hundred fifty-nine participants (60.5%) were from the college of medicine, 59 (22.4%) were from the college of dentistry and 45 (17.1%) were from the college of pharmacy. The highest response rate to the questionnaire was obtained from third year graduation students (99, 37.6%) and the least number of participant was reported from the first year (35, 13.3%) and final year graduates (35, 13.3%), respectively. One hundred twenty-eight (48.7%) students’ personal income per month was reported to be between 1000 and 2000 SAR, and the monthly family income of 169 participants (64.3%) was reported to be over 20,000 SAR. Considering the spending behavior, 132 students (50.2%) displayed an average spending range between 1000 and 2000 SAR every month, and 59 participants (22.4%) demonstrated family consumption of 10,000–15,000 SAR monthly.
| Variables | n (%) |
|---|---|
| Gender | |
| Male | 144 (54.8) |
| Female | 119 (45.2) |
| Age (Mean±SD) | |
| Male | 20.1±3.1 |
| Female | 19.56±2.9 |
| Nationality | |
| Saudi | 184 (69) |
| Non- Saudi | 79 (30) |
| College | |
| Medicine | 159 (60.5) |
| Dentistry | 59 (22.4) |
| Pharmacy | 45 (17.1) |
| Educational year | |
| First | 35 (13.3) |
| Second | 39 (14.8) |
| Third | 99 (37.6) |
| Fourth | 55 (20.9) |
| Fifth | 35 (13.3) |
| Marital status | |
| Single | 254 (96.6) |
| Married | 9 (3.4) |
| Personal income per month | |
| Less than 1000 SAR | 108 (41.1%) |
| 1000-2000 SAR | 128 (48.7%) |
| 2000-3000 SAR | 18 (6.8%) |
| 3000-4000 SAR | 9 (3.4%) |
| More than 5000 SAR | NA |
| Family income per month | |
| Less than 5000 SAR | 5 (1.9) |
| 5000-10,000 SAR | 30 (11.4) |
| 10,000-15,000 SAR | 26 (9.9) |
| 15,000-20,000 SAR | 33 (12.5) |
| More than 20,000 SAR | 169 (64.3) |
| Personal consumption (spending) per month | |
| Less than 1000 SAR | 119 (45.2) |
| 1000-2000 SAR | 132 (50.2) |
| 2000-3000 SAR | 9 (3.4) |
| 3000-4000 SAR | 3 (1.1) |
| More than 5000 SAR | NA |
| Family consumption (spending) per month | |
| Less than 5000 SAR | 24 (9.1) |
| 5000-10,000 SAR | 92 (35) |
| 10,000-15,000 SAR | 59 (22.4) |
| 15,000-20,000 SAR | 56 (21.3) |
| More than 20,000 SAR | 32 (12.2) |
| Livelihood | |
| Villa | 234 (89) |
| Apartment | 29 (11) |
| Transportation | |
| Private car | 156 (59.3) |
| Family car | 46 (17.5) |
| Family car with driver | 61 (23.2) |
The study of survey questionnaire [Appendix A] demonstrated that 19 male participants (7.2%) and 29 female participants (11.0%) reported a cutoff score of more than 42 on the Likert scale and were considered as compulsive buyers. We also observed an association between study sociodemographic characteristics and CBD, and the results showed that a statistically significant difference was observed in CBD with respect to gender (P = 0.02), field of study (P < 0.0001) and educational year (P = 0.03) [Table 3].
| Variables | CBD | No CBD | Total | Chi-squared test | P |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 19 (7.2) | 125 (47.5) | 144 (54.8) | 5.45 | 0.02* |
| Female | 29 (11.0) | 90 (34.2) | 119 (45.2) | ||
| Field of Study | |||||
| Medicine | 16 (6.1) | 143 (54.4) | 159 (60.5) | 18.94 | < 0.0001* |
| Dentistry | 20 (7.6) | 39 (14.8) | 59 (22.4) | ||
| Pharmacy | 12 (4.6) | 33 (12.5) | 45 (17.1) | ||
| Educational year | |||||
| First | 5 (1.9) | 30 (11.4) | 35 (13.3) | 10.61 | 0.03* |
| Second | 4 (1.5) | 35 (13.3) | 39 (14.8) | ||
| Third | 13 (4.9) | 86 (32.7) | 99 (37.6) | ||
| Fourth | 16 (6.1) | 39 (14.8) | 55 (20.9) | ||
| Fifth | 10 (3.8) | 25 (9.5) | 35 (13.3) | ||
| Marital status | |||||
| Married | 0 (0.0) | 9 (3.4) | 9 (3.4) | 2.08 | 0.149 |
| Single | 48 (18.3 | 206 (78.3) | 254 (96.6) | ||
| Personal income/month | |||||
| Less than 1000 SAR | 17 (6.5) | 91 (34.6) | 108 (41.1) | 3.153 | 0.533 |
| 1000-2000 SAR | 21 (8.0) | 107 (40.7) | 128 (48.7) | ||
| 2000-3000 SAR | 8 (3.0) | 10 (3.8) | 18 (6.8) | ||
| 3000-4000 SAR | 2 (0.8) | 7 (2.7) | 9 (3.4) | ||
| More than 5000 SAR | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||
| Family income/month | |||||
| Less than 5000 SAR | 1 (0.4) | 4 (1.5) | 5 (1.9) | 3.153 | 0.533 |
| 5000-10,000 SAR | 4 (1.5) | 26 (9.9) | 30 (11.4) | ||
| 10,000-15,000 SAR | 6 (2.3) | 20 (7.6) | 26 (9.9) | ||
| 15,000-20,000 SAR | 3 (1.1) | 30 (11.4) | 33 (12.5) | ||
| More than 20,000 SAR | 34 (12.9) | 135 (51.3) | 169 (64.3) | ||
| Livelihood | |||||
| Villa | 41 (15.6) | 193 (73.4) | 234 (89.0) | 0.757 | 0.384 |
| Apartment | 7 (2.7) | 22 (8.4) | 29 (11.0) | ||
| Mode of transportation | |||||
| Private car | 28 (10.6) | 128 (48.7) | 156 (59.3) | 0.676 | 0.713 |
| Family car | 7 (2.7) | 39 (14.8) | 46 (17.5) | ||
| Family car with a driver | 13 (4.9) | 48 (18.3) | 61 (23.2) |
We studied an association between the gender of medical students and five factors of CBD as per ECBS, and results demonstrated a statistically significant difference between gender and mood modifications (P < 0.0001), unnecessary buying (P < 0.0000) and neutral or not interested in shopping (P = 0.022) [Table 4].
| Gender | Factors of CBD | Chi-value | P | ||
|---|---|---|---|---|---|
| CBD | No CBD | Total | |||
| Lack of control | 0.006 | 0.937 | |||
| Male | 43 (16.3) | 101 (38.4) | 144 (54.8) | ||
| Female | 35 (13.3) | 84 (31.9) | 119 (45.2) | ||
| Mood modification | 12.863 | < 0.0001* | |||
| Male | 33 (12.5) | 111 (42.2) | 144 (54.8) | ||
| Female | 52 (19.8) | 67 (25.5) | 119 (45.2) | ||
| Guilt | 2.317 | 0.128 | |||
| Male | 19 (7.2) | 125 (47.5) | 144 (54.8) | ||
| Female | 24 (9.1) | 95 (36.1) | 119 (45.2) | ||
| Unnecessary Buying | 13.553 | < 0.000* | |||
| Male | 13 (4.9) | 131 (49.8) | 144 (54.8) | ||
| Female | 31 (11.8) | 88 (33.5) | 119 (45.2) | ||
| Neutral or not interested in shopping | 5.279 | 0.022* | |||
| Male | 43 (16.3) | 101 (38.4) | 144 (54.8) | ||
| Female | 21 (8.0) | 98 (37.3) | 119 (45.2) | ||
Discussion
The findings of this study showed that prevalence of compulsive buying among university students was more among female students (11%) in comparison to male students (7.2%). Most predominant compulsive buyers were reported from the college of dentistry (7.6%) and fourth year graduates (6.1%). The results of our study were in accordance with Sharma K who also reported predominant female compulsive buyers (94%) in comparison to male (6%). Another study[13] examined compulsive buying among healthcare teachers and showed that females (87.5%) were more prone to shopping than males (12.5%). Online shopping through social networking sites (SNS) trend increased after the COVID-19 pandemic.[14] A study conducted in China among undergraduate female students showed a positive association between SNS and online compulsive purchase mediated through state anxiety.[15] In United Arab Emirates (UAE) among college female students, compulsive buying was found to be associated with depressive symptoms.[16] Another important consideration during examining patients with CBD is to evaluate bulimia (bling eating) as a comorbidity; however, cognitive therapy can play significant role here in treatment and aid physicians in clinical decision-making.[17] Researchers showed that a six-month follow-up of cognitive behavioral therapy (CBT) and psychotherapy are widely used in treating CBD and are of great significance in reducing the number of compulsive buying episodes and time spent on buying (Soares et al., 2013). Similarly, a study conducted among female students in Saudi Arabia reported a significant decline in cognitive buying attitude through introduction of an advising program among students.[18] The improvement in a CBD patient’s psychological wellbeing could be achieved through a healthy diet, better sleep quality and sedentary behaviors, thereby decreasing the mental stress and anxiety.[1920]
The results of our study also showed a statistically significant difference in compulsive buying disorder with respect to gender, field of study and educational year. Our study used ECBS to examine the emotional and financial aspects associated with compulsive buyer participants. Results demonstrated a significant association of CBD with mood modifications, guilt after shopping and feelings about shopping. The socioeconomic details in our study showed that 50.2% of participant’s personal monthly spending capacity ranged between 1000 and 2000 SAR and family spending per month was found to be between 10,000 and 15,000 SAR. CBD is dependent upon personality traits including modifications in mood, neurotic due to stress, such as emotional instability, and instantaneous purchase to become socially acceptable.[21] The segregation of patients with CBD from non-CBD also involve identification of confusion and compulsive buying behavior triggered due to materialistic values endorsement, ultimately resulting in depression and anxiety and leading to hoarding and confusion.[22] On the contrary, Maraz, van den Brink, and Demetrovics[23] reported no linear association between CBD and socioeconomic status and family status. Studies also reported a unique association between OCD and CBD as comorbidities mostly among females, indicative of psychiatric disorder requiring further treatment in terms of compulsivity–impulsivity, whereas being a student provides a protective element.[24] This establishes CBD as a reward-based attitude described by sensation pursuing and impulsivity. Clinical intervention in terms of pharmacological treatment could be introduced on the basis of the individual CBD patient’s psychological, neurobiological and sociocultural characteristics through the use of medications, i.e., N-methyl-D-aspartate (NMDA) receptor antagonist, opioid antagonists, second-generation antipsychotics, mood stabilizers and antidepressants.[25] However, randomized trials are still required to propose a complete and accurate treatment guidelines in Saudi Arabia relating to psychological and pharmacological treatment of patients with CBD.
To the best of the researcher’s knowledge, this is the first study conducted in Riyadh city, KSA to examine the prevalence of CBD among the youth, especially medical sciences students. The study has a limitation that it does not compare CBD with other socioeconomic and comorbid factors and was only conducted among medical students. Future studies are required to examine the influence of psychological and cultural factors, and psychiatric comorbidities on compulsive buying disorder at the national level. CBD is a phenomenon that has been noted in our society, but we do not know to what degree it is dominant in the kingdom. Our findings support the previous literature, that have shown that compulsive buying disorder is female predominant. Many factors like culture, social media, online shopping, the economic standards as well as psychiatric disorders have a role and affect such disorders. And it might lead to multiple psychiatric and financial complications and consequences, if not managed properly.
Conclusion
This study concludes that a prevalence of compulsive buying among university students was more frequent among female students in comparison to male students in Riyadh city. This study provides baseline data for the estimation of CBD prevalence among adolescents and the youth in KSA, particularly Riyadh city, to aid in the development of national interventions and guidelines in terms of awareness campaigns for the protection of students from negative effects of compulsive buying.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Appendix Group
Supplement 1
| Characteristic | No (%) |
|---|---|
| Gender | |
| Male | 144 (54.8%) |
| Female | 119 (45.2%) |
| College | |
| Medicine | 159 (60.5%) |
| Dentistry | 59 (22.4%) |
| Pharmacy | 45 (17.1%) |
| Educational year | |
| First | 35 (13.3%) |
| Second | 39 (14.8%) |
| Third | 99 (37.6%) |
| Fourth | 55 (20.9%) |
| Fifth | 35 (13.3%) |
| Marital status | |
| Single | 254 (96.6%) |
| Married | 9 (3.4%) |
| Personal income/month | |
| Less than 1000 SAR | 108 (41.1%) |
| 1000-2000 SAR | 128 (48.7%) |
| 2000-3000 SAR | 18 (6.8%) |
| 3000-4000 SAR | 9 (3.4%) |
| More than 5000 SAR | NA |
| Family income/month | |
| Less than 5000 SAR | 5 (1.9%) |
| 5000-10000 SAR | 30 (11.4%) |
| 10000-15000 SAR | 26 (9.9%) |
| 15000-20000 SAR | 33 (12.5%) |
| More than 20000 SAR | 169 (64.3%) |
| Personal consumption (spending)/month | |
| Less than 1000 SAR | 119 (45.2%) |
| 1000-2000 SAR | 132 (50.2%) |
| 2000-3000 SAR | 9 (3.4%) |
| 3000-4000 SAR | 3 (1.1%) |
| More than 5000 SAR | NA |
| Family consumption (spending)/month | |
| Less than 5000 SAR | 24 (9.1%) |
| 5000-10000 SAR | 92 (35%) |
| 10000-15000 SAR | 59 (22.4%) |
| 15000-20000 SAR | 56 (21.3%) |
| More than 20000 SAR | 32 (12.2%) |
| Livelihood | |
| Villa | 234 (89%) |
| Apartment | 29 (11%) |
| Transportation | |
| Private car | 156 (59.3%) |
| Family car | 46 (17.5%) |
| Family car with driver | 61 (23.2%) |
| Study variables | Has CBD | No CBD | Total | Chi-square | P |
|---|---|---|---|---|---|
| Gender : | |||||
| Male | 19 (7.2%) | 125 (47.5%) | 144 (54.8%) | 5.454 | 0.020 |
| Female | 29 (11.0%) | 90 (34.2%) | 119 (45.2%) | ||
| College | |||||
| Medicine | 16 (6.1%) | 143 (54.4%) | 159 (60.5%) | 18.936 | <.0001 |
| Dentistry | 20 (7.6%) | 39 (14.8%) | 59 (22.4%) | ||
| Pharmacy | 12 (4.6%) | 33 (12.5%) | 45 (17.1%) | ||
| Educational year: | |||||
| First | 5 (1.9%) | 30 (11.4%) | 35 (13.3%) | 10.609 | 0.031 |
| Second | 4 (1.5%) | 35 (13.3%) | 39 (14.8%) | ||
| Third | 13 (4.9%) | 86 (32.7%) | 99 (37.6%) | ||
| Fourth | 16 (6.1%) | 39 (14.8%) | 55 (20.9%) | ||
| Fifth | 10 (3.8%) | 25 (9.5%) | 35 (13.3%) | ||
| Social (marital) status: | |||||
| Married | 0 (0.0%) | 9 (3.4%) | 9 (3.4%) | 2.080 | 0.149 |
| Single | 48 (18.3%) | 206 (78.3%) | 254 (96.6%) | ||
| Personal income/month | |||||
| Less than 1000 SAR | 17 (6.5%) | 91 (34.6%) | 108 (41.1%) | 3.153 | 0.533 |
| 1000-2000 SAR | 21 (8.0%) | 107 (40.7%) | 128 (48.7%) | ||
| 2000-3000 SAR | 8 (3.0%) | 10 (3.8%) | 18 (6.8%) | ||
| 3000-4000 SAR | 2 (0.8%) | 7 (2.7%) | 9 (3.4%) | ||
| Family income/month | |||||
| Less than 5000 SAR | 1 (0.4%) | 4 (1.5%) | 5 (1.9%) | 3.153 | 0.533 |
| 5000-10000 SAR | 4 (1.5%) | 26 (9.9%) | 30 (11.4%) | ||
| 10000-15000 SAR | 6 (2.3%) | 20 (7.6%) | 26 (9.9%) | ||
| 15000-20000 SAR | 3 (1.1%) | 30 (11.4%) | 33 (12.5%) | ||
| More than 20000 SAR | 34 (12.9%) | 135 (51.3%) | 169 (64.3%) | ||
| Livelihood: | |||||
| Villa | 41 (15.6%) | 193 (73.4%) | 234 (89.0%) | 0.757 | 0.384 |
| Apartment | 7 (2.7%) | 22 (8.4%) | 29 (11.0%) | ||
| Mode of transportation: | |||||
| Private car | 28 (10.6%) | 128 (48.7%) | 156 (59.3%) | 0.676 | 0.713 |
| Family car | 7 (2.7%) | 39 (14.8%) | 46 (17.5%) | ||
| Family car with a driver | 13 (4.9%) | 48 (18.3%) | 61 (23.2%) |
| Gender | Lack of control | ||||
|---|---|---|---|---|---|
| Has CBD | No CBD | Total | Chi value | P | |
| Male | 43 (16.3%) | 101 (38.4%) | 144 (54.8%) | 0.006 | 0.937 |
| Female | 35 (13.3%) | 84 (31.9%) | 119 (45.2%) | ||
| Mood modification | |||||
| Male | 33 (12.5%) | 111 (42.2%) | 144 (54.8%) | 12.863 | <0.0001 |
| Female | 52 (19.8%) | 67 (25.5%) | 119 (45.2%) | ||
| Guilt | |||||
| Male | 19 (7.2%) | 125 (47.5%) | 144 (54.8%) | 2.317 | 0.128 |
| Female | 24 (9.1%) | 95 (36.1%) | 119 (45.2%) | ||
| Unnecessary Buying | |||||
| Male | 13 (4.9%) | 131 (49.8%) | 144 (54.8%) | 13.553 | <0.000 |
| Female | 31 (11.8%) | 88 (33.5%) | 119 (45.2%) | ||
| Neutral or Not interested in shopping | |||||
| Male | 43 (16.3%) | 101 (38.4%) | 144 (54.8%) | 5.279 | 0.022 |
| Female | 21 (8.0%) | 98 (37.3%) | 119 (45.2%) | ||