Smoking Behaviour among Young doctors of a Tertiary Care Hospital in Mumbai, India

Smoking Behaviour among Young doctors of a Tertiary Care Hospital in Mumbai, India
Dr Pooja Mange*1, Dr. Dalvinder Singh2, Dr. Stuti Mittal3


1 Intern K. J. Somaiya Medical College, Sion, Mumbai, Maharashtra, India.

2.Intern, Chirayu Medical College and Hospital, Bhopal, Madhya Pradesh, India.

3.Intern, Chirayu Medical College and Hospital, Bhopal, Madhya Pradesh, India.

 

*Correspondence to: Dr Pooja Mange, email:poojamange10@gmail.com.

Copyright

© 2023 Dr Pooja Mange. This is an open access article distributed under the Creative Commons Attribution   License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

Received: 08 September 2023

Published: 15 September 2023

 

Abstract

Background: Tobacco use is one of the biggest public health threats the world has ever faced. There are more than one billion smokers in the world. Almost half of the world's children breathe air polluted by tobacco. Aim of current study was to study the smoking trends among young doctors in a tertiary care institute in north India.

Methods: A descriptive observational cross-sectional epidemiological study was conducted among 250 doctors of a tertiary care Hospital in Mumbai, Maharashtra, India during the two months of February-March, 2022. The predesigned tool adopted during data collection was a questionnaire that was developed at the institute with the assistance from the faculty members and other experts.

Results: Among 250 participants, (20%) were smokers; among smokers, (76%) were regular smokers and (24%) were occasional smokers. Majority of smokers were in the age group of 21-30 years (80%) & started smoking between 11-20 years (70%). All of them were male (100%). No significant difference was observed among urban and rural students. Among smokers, majority (60%) was in the practice of smoking for last 6 months to 1 year and 26% smoked for <6 months; & (14%) smoked for more than 5 years .It was found more than half of the responding (60%) students used to smoke 5-9 cigarettes per day; 14% is <5 and 26% consumed 10 or more per day .Among smokers, peer pressure was found in 80% cases. (χ2 = 107, P <0.001). Among smokers, almost 20% had other addiction and among non-smokers only 5% had .Effect of parental smoking was significantly higher in smokers than non-smoker (χ2 = 66.2, P <0.001) .It was seen that peer pressure was the most important risk factor (60%) of initiation of smoking habit followed by parental influence (20%). Majority (78.4%) had no intention to quit in the next 6 months. Lack of Incentive (36.36%) and Addiction (27.27%) were the main reasons for not quitting.

Conclusion: We need to create more awareness regarding hazards of smoking in general population especially in medical students, and afterwards provide psychological and pharmacological support for those who intend to quit, as medical students can themselves become a tool to fight this hazard at all levels.


Smoking Behaviour among Young doctors of a Tertiary Care Hospital in Mumbai, India

Introduction

The epidemic is shifting to the developing world. More than 80% of the world's smokers live in low- and middle- income countries. World Health Organization (WHO) estimated that there are about 100 million smokers in the world. Globally 47% of men and 12% of women smoke. In India, 65% of all men use some form of tobacco, among which 35% use smoking, 22% use smokeless tobacco, and 8% both.1 Tobacco kills up to half of all users. It is a risk factor for six of the eight leading causes of deaths in the world. The tobacco epidemic is one of the biggest public health threats the world has ever faced, killing nearly six million people a year and accounts for one in 10 adult deaths worldwide. More than five million of those deaths are the result of direct tobacco use while more than 600000 are the result of non-smokers being exposed to second-hand smoke. Approximately one person dies every six seconds due to tobacco. 100 million deaths were caused by tobacco in the 20th century. If current trends continue, there will be up to one billion deaths in the 21st century. Unchecked, tobacco-related deaths will increase to more than eight million a year by 2030, and 80% of those deaths will occur in the developing world. Up to half of current users will eventually die of a tobacco-related disease. Tobacco users who die prematurely deprive their families of income, raise the cost of health care and hinder economic development.

 

Medical students belong to that age group when lifestyles, both healthy and unhealthy, are formed. Being future doctors, they are the role models for patients. But, if they themselves are entangled in the web of dependence of tobacco, then the smoking cessation program will be a failure.2

 

With this background the present study was carried out with the objectives to find out the prevalence and determinants of smoking practices among young doctors in a tertiary care teaching institute in Mumbai, Maharashtra, India

 

Methods

Study design and settings

A cross-sectional study was conducted among 250 doctors between 17-35 years of age of a tertiary care teaching institute of Mumbai, Maharashtra, India in the months of February-March, 2022.


Study instrument

A predesigned questionnaire was used to assess the pattern of smoking among doctors. The Questionnaire    was divided into two parts. The first part dealing with the demographic details of the participants while the second part had 18 multiple choice questions pertaining to the smoking pattern. The study instrument was pretested by carrying out a pilot study for 7 days and deficiencies found were subsequently corrected.

 

Data collection procedure

The questionnaire was presented to the study group after briefing the participants about the purpose of the study. Study subjects were assured confidentiality regarding their response. The participants were given a time frame of 7 days to return the filled questionnaire. Those study subjects who either did not returned the questionnaire or who willingly did not participate were excluded from the study.

 

Definitions

  • --According to WHO, a cigarette smoker is a person who at the time of the survey smoked cigarettes either daily or occasionally.
  • --A daily smoker is a person, who smoked a cigarette at least once a day (except for people who smoked every day, but not on days of religious fasting were still classified as daily smokers).
  • --An occasional cigarette smoker is a person, who smoked cigarettes but not every day.
  •   --A never-smoker was a person who had never smoked at all in his / her lifetime
  • --Parental tobacco use was defined as habit of smoking tobacco by either or both parents.

 

Statistical analysis

The collected data was entered into Excel sheets and analysis was carried out. Compilation of data was done through tabulation and then proper statistical tests were applied in data interpretation.

 

Results

The observation of the study revealed that among 250 study subjects, (20%) males were smokers (n=50) while majority 80% (n=150) males were non- smokers. Among 50 female participants none was found to be smoker. Relationship of smoking viza viz gender of study groups revealed that 80% (n=40) of smokers were in the age group <30 years while 20% (n=10) were >30 years old. The results were significant with P <0.001. Observation of smoking in relation to the residing facility used by the study subjects reveals that among the study subjects who smoked, 60% (n=30) were hosteliers i.e.; who were using hospital accommodation. Only 40% (n= 20) smokers were day scholar.

(Table 1) studying the duration of study subjects viza a viz study population reveals that among smokers, majority (60%) was in the practice of smoking for last 6 months to 1 year and 26% smoked for <6 months; and (14%) smoked for more than 1 year.

Analysis of distribution of smoker in relation to number of cigarettes smoked per day (Table 2) reveals that more than half of the respondents (60%) students used to smoke 5-9 cigarettes per day; 14% is <5 and 26% consumed 10 or more per day.

(Table 3) Among 80% of smokers, peer pressure was found to be associated with smoking habit whereas among nonsmokers peer pressure was present in only 10% cases. The peer pressure was significantly high among smokers (P <0.001).

Analysis of the table 4 reveals that 20% of those who smoked were having other addiction like use of intravenous drugs, snuff etc. while among non-smokers only 5% were in the habit of other addiction. Other addiction was significantly higher among smokers than nonsmokers (P <0.001).

Effect of parental smoking on smoking habits of the participants (Table 5) reveals (80%) of smokers having positive parental history of smoking. The results were significant (P <0.001)

Table 6 revealed that 60% of smokers consider peer pressure as important risk factor followed by parental smoking (20%). 12% of smokers consider curiosity as a risk factor while 6% of smokers consider tension as a risk factor for initiation of smoking

 

Table 1: Duration of smoking among doctors.

 

Duration of smoking

Number

Percentage (%)

P value

<6 months

13

26

 

1.000

6 months -

1 year

30

60

>1 year

7

14

Chi square: 0.00

Total

50

100

 

 

 

Table 2: Distribution of students according to the number of cigarettes smoked per day.

 

Number of cigarettes smoked per day

 

Number

 

Percentage (%)

 

P value

<5

12

14

 

5-9

28

60

 

>10-20

10

26

 

Total

50

100

 

 

Table 3: Distribution of students according to the presence or absence of peer pressure.

 

Students

Peer pressure

Total

Yes (%)

No (%)

Smokers

40

10

50

Non-smokers

20

180

200

Total

60

190

250

Chi square: 107; P <0.001

 

Table 4: Distribution of students according to any other addiction.

Students

Other addiction

Total

Yes (%)

No (%)

Smokers

10 (20)

40 (80)

50

Non-smokers

10 (5)

190 (95)

200

Total

20 (8)

230 (92)

250

Chi square: 12.2; P <0.001

 

Table 5: Effect of parental smoking

Students

Parental smoking

Total

Yes (%)

No (%)

Smokers

40 (80)

10 (20)

50

Non-smokers

40 (20)

160 (80)

200

Total

80 (32)

170 (68)

250

Chi square: 66.2; P <0.001

 

Table 6: Distribution of risk factors among participants for initiation of smoking

 

Cause of initiation

Number

%

P value

Peer pressure

30

60

 

1.00

Parental smoking

10

20

Curiosity

6

12

Tension

3

6

 

Role model

1

2

Chi square: 0.00

Total

50

100

 

 

Regarding awareness on the widely advertised adverse health effects of cigarette smoking, most of the students responded that they knew about lung cancer, heart problems, bronchitis, asthma, hypertension, and others. Lastly, they were asked about any problem faced due to smoking. Majority (60.6%) responded that they were suffering from regular cough. About 6% students were suffering from bronchitis and another 2% had asthma. About 31.4% responded that they had no health problems.

 

Discussion

A questionnaire survey by Minhas HM et al. conducted among all medical students with at least 2 years of medical education studying at 3 medical colleges in Pakistan revealed that of the 1529 respondents (544 males and 985 females), 21.5% were eversmokers (smoked at least once in their lifetime): 9.1% current smokers (including 5.7% daily smokers), 0.7% exsmokers, and 11.7% occasional smokers. The proportion of nonsmokers who knew about the addictive and harmful nature of cigarette smoking was higher than that among the smokers.3

The WHO study report on youth and drugs supported our finding that youngsters first try drugs on an experimental basis often motivated largely by curiosity and peer pressure, which is one of the most important reasons for initiation of substance use.4

In a study at Lucknow by Kumari, et al. the prevalence was almost similar, that is, 25.2%, which was also comparable to a study conducted at Pakistan (22%).5,6 The corresponding figure of tobacco use in other studies done at Kerala was 14.7% and Orissa 12.4%.7,8 Another study by medical cadet Virendra Singh showed that it was 46%.9 Among the 50 smoker students, (76%) were regular smokers and (24%) were occasional smokers, which has increased enormously from another study reported from West Bengal three decades back where only 3.2% of the males were current smokers.10

The smoking rate among female students was found nil in our study, which was unlike to other studies. A study on smoking among medical students in Pakistan revealed that the proportions of eversmokers among males and females were 48.3% and 6.7%, respectively, and of current smokers were 23.2% and 1.3%. The proportion of males and females smoking daily was 14.7% and 0.7%, respectively.5 However, as compared to a previous survey, there was a slight increase in smoking rates among female students, probably due to improvement in women's social status and empowerment.

Tsering D et al. observed that family members and friends were found to have a considerable influence not only on initiation but also important sources for money as well as the substance. Easy availability in the neighborhood was also an important correlate to continuation of substances. It was concluded in that study that family environment as well as peer groups has an important bearing on initiation and continuation of substance use. Experimentation of substance use motivated by peer groups is common among adolescents and starts early in life. Hence, it is necessary to provide health promotion programs directed toward students and their families, which encourage attitude shaping among school children toward self-confidence and adequacy.11

 

Recommendations

Early onset of smoking habit calls for effective measures directed against the younger age groups. Educational intervention at the school level might appear as one of feasible measures to prevent initiatives toward the use of substances. Caregivers should be motivated to share a healthy relationship with their children and give more time to them, especially in the growing stages when deviant behavior can influence them easily. Effective control can be achieved by education, advocacy, and legislation on the hazards of substance use among students, and this is the most effective educational measure to control it. Health professionals can play an important role in the fight against tobacco. They can educate the population more precisely and their support, in terms of not smoking themselves can have a far reaching influence on tobacco control efforts.

Health care providers are a role model of society and they should play a role in smoking cessation by not smoking themselves.

 

References

1. World Health Organization. Tobacco or health: a global status report. In: WHO, eds. WHO Report. Geneva: World Health Organization; 1997. 414- 417.

2. World Health Organization. Tobacco free initiative (TFI) website, 2009. Available at: http://www.who.int/tobacco/. Accessed October 2009.

3. Minhas HM, Rahman A. Prevalence, patterns and knowledge of effects on health of smoking among medical students in Pakistan. East Mediterr Health J. 2009;15:1174-9.

4. World Health Organization. WHO expert committee on drug dependence. Sixteenth report. Tech Rep Ser. 1969;407:6-8.

5. Kumari R, Nath B. Study on the use of tobacco among male medical students in Lucknow, India. Indian J Comm Med. 2008;33:100-3.

6.Nawaz H, Iman SZ, Zubairi AB, Pabaney AH, Sepah YJ, Islam M, et al. Smoking habits and beliefs of future physicians of Pakistan. Int J Tuberc Lung Dis. 2007;11:915-9.

7.Mohan S, Pradeepkumar AS, Thresia CU, Thankappan KR, Poston WS, Haddock CK, et al. Tobacco use among medical professionals in Kerala, India: the need for enhanced tobacco cessation and control efforts. Addict Behav. 2006;31:2313-8.

8.Ramkrishna GS, Sankara Sarma P, Thankappan KR. Tobacco use among medical students in Orissa. Natl Med J India. 2005;18:285-9.

9.Singh VV, Singh Z, Banerjee A, Basannar DR. Determinants of smoking habit among medical students. Med J Armed Force India. 2003;59:209- 11.

10.Roy M, Chakraborty AK. Smoking and drug-abuse among the newly admitted students of medical colleges in West Bengal. Indian J Public Health. 1981;25:30-5.


11.Tsering D, Pal R. Role of family and peers in initiation and continuation of substance use. Indian J Psychol Med. 2009;31:30-4.

antarmuka fokus mahjong daya pengguna aktifaws grid serasi mahjong dasar tahapan terjagaaws jejak mekanisme mahjong arah fase lanjutanaws kajian wild berantai mahjong interaktif analitisaws kesesuaian persentase layanan mahjong seluler lanceraws pendalaman persentase mahjong gerak wild mutakhircorak langka mahjong tumbuh perlahan berubahgerak mahjong adaptasi mekanisme pemakai sekarangnalar scatter mahjong malam putaran ekstratempo mahjong kaitan mekanisme keadaan terkinialur permainan mahjong cepat scatter wilddalam hitungan detik scatter wild mahjongmenyatukan naluri pola scatter hitam mahjongmomen mahjong permainan berbalik arahmomen singkat mahjong dinamika permainanperpaduan insting pola scatter hitam momentperubahan drastis mahjong ways scatter wildscatter wild mahjong datang polasekejap berubah scatter wild mahjong wayssensasi baru mahjong lebih scatter wildenergi scatter emas irama reel mahjongevolusi reel mahjong balutan mistisintervensi cepat emas momentum lamakemunculan mendadak naga emas mahjongketika scatter naga emas aktif mahjongnaga emas muncul arah spin mahjongnaga emas ritme mahjong ways berubahrahasia rtp tinggi balik scatter hitamsaat scatter naga emas alih irama reelscatter hitam kunci lonjakan rtp mahjonge5 scatter wild memberikan sentuhan baru di setiap spin mahjong ways 2e5 scatter wild menghidupkan suasana permainan mahjong ways 2e5 scatter wild mengubah pola permainan mahjong ways 2 secara signifikane5 setiap putaran mahjong ways 2 terasa berbeda dengan scatter wilde5 strategi adaptif berbasis analisis rtp hariane5 strategi berbasis data dan algoritma untuk analisis momentume5 strategi berkembang berkat data rtp hariane5 strategi memahami algoritma untuk mengidentifikasi momentum ideale5 strategi membaca pola algoritma demi menangkap momentum optimale5 strategi modern mengandalkan evaluasi rtp hariane5 strategi responsif dengan dukungan evaluasi rtp hariane5 strategi terukur dengan analisis rtp hariane5 struktur scatter dan wild terlihat jelas berkat analisis sistem moderne5 tanpa disadari kombinasi ini sering mengarah ke scatter di mahjong wins 3e5 teknik evaluasi algoritma untuk mendapatkan momentum yang tepate5 teknik observasi sistem untuk analisis momentum yang lebih presisie5 terungkap formasi ini sering jadi awal munculnya scatter di mahjong wins 3e5 transformasi digital rtp live berkat artificial intelligence inovatife5 transformasi ritme mahjong ways 2 dipicu oleh kekuatan scatter wilde5 wajib tahu pola tersembunyi ini sering menghasilkan scattere5 applee5 bananae5 candye5 doge5 eaglee5 falcone5 geminie5 horsee5 indiae5 japananalisa pola mahjong ways rutinanalisis kinerja heuristik variansi gameanalisis pola mahjong ways hariananalisis pola mahjong ways kebiasaanera baru mahjong wins bonus optimalgebrakan bonus mahjong wins mekanisme efisieninsight pola mahjong ways rutinkajian pola mahjong ways rutinkomparasi heuristik variansi game digitalledakan bonus mahjong wins sistem efektifmahjong wins bonus sistem generasi baruobservasi pola mahjong ways harianpendekatan algoritma heuristik variansi gameperbandingan model heuristik variansi gamerahasia bonus mahjong wins sistem cerdasrangkuman pola mahjong ways harianringkasan pola mahjong ways harianstudi pola mahjong ways hariantinjauan heuristik variansi game digitaltinjauan pola mahjong ways harianalur sombol mahjong kemunculan scatterdari rtp mahjong bermain lebih efektifjejak scatter mahjong putaran tenangkejutan scatter wild simbol mahjong arahkemunculan simbol ganda membuat mahjongketika grid mahjong scatter semakin dekatketika rtp mahjong pola mulai lebih jelasketika scatter wild ritme simbol mahjongketika scatter wild titik sesi mahjong waysketika susunan simbol mahjong ritme scattermemahami rtp mahjong cara bermain lebihpergerakan simbol mahjong scatter wildpergeseran mahjong ketika scatter hadirsaat rtp mahjong terbaca baik strategisaat scatter hadir simbol mahjong bergeserscatter wild dinamika simbol mahjongstabilitas putaran mahjong pola scattersusunan baru reel mahjong scatter emassusunan mahjong wins mengandung scattersusunan simbol mahjong diam pola scatterrm menguak keunikan mahjong wins sudut pandang teknisrm cara memahami pergerakan mahjong ways tenaga ekstrarm mahjong wins standar baru industri hiburan digitalrm rahasia ketahanan mahjong ways eksis gempuran gamerm pentingnya memahami transisi level mahjong wins mendalamrm strategi mengatur tempo mahjong ways kendali permainanrm peran kecerdasan buatan mekanisme mahjong wins adilrm alasan keberhasilan mahjong ways mencuri perhatian analisrm mempelajari struktur dasar mahjong wins efisiensi putaranrm inovasi desain mahjong ways kesan bermain responsifrm teknik observasi mahjong wins jarang dibahas dampakrm cara mempertahankan fokus dinamika mahjong ways cepatrm eksplorasi fitur tersembunyi mahjong wins ritme terbaikrm mahjong ways integrasi teknologi modern keamanan nyamanrm analisis faktor pendukung mahjong wins digemari generasirm langkah efektif menyesuaikan perubahan sistem mahjong waysrm mengintip proses pengembangan mahjong wins kualitas penggunarm analisis data membantu membaca arah mahjong waysrm menemukan titik temu insting logika mahjong winsrm transformasi besar mahjong ways menghadirkan tantangan menarikmengungkap simbol langka nasib drastismisteri besar kombinasi simbol langkamisteri simbol langka keberuntungan besarsimbol langka misterius ubah hiduprahasia simbol langka nasib cepattransformasi bonus mahjong wins sistem efektifmahjong wins suguhkan bonus sistem modernsuguhan bonus efisien mahjong winsefektivitas sistem bonus mahjong winsmahjong wins hadirkan bonus sistem optimaloke76cincinbetaqua365slot gacorstc76samurai76TOBA1131samurai76 login