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Table of Content Volume 10 Issue 2 - May 2019


 

Associated with the morbidity of the Bidi workers in village (Chhatar Gachh), Kishanganj district

 

Kanchan Lata1, Chikirsha Vijay2*

 

1Assistant Professor, Department of Community Medicine}{1Ist Year PGT, Department of Paediatrics} M.G.M. Medical College & L.S.K. Hospital. Kishanganj, Bihar, INDIA.

Email: klata45@gmail.com

 

Abstract               Tobacco consumption is the leading preventable cause of disease, disability and premature death, but little is known about its deleterious effect on the health of workers handling tobacco. Methods: Present study was conducted in the village of Chhatar Gachh. Chhatar Gachh is a large village located in Pothia Block of Kishanganj district, Bihar with total 1188 families residing. The Chhatar Gachh village has population of 5993 of which 3110 are males while 2883 are females as per Population Census 2011. A vast majority of the people live in the villages. Which is Muslim majority, with Muslims forming about 87.4 per cent of the population, there are also Hindus of whom are Surajpuris( Rajbanshi ). There also are small Santal pockets. The study period of the present study was from April 2018 to January 2019, Results: Most of the Bidi workers are in the age group 15-40 years, Most of the Bidi worker’s BMI are normal, About 62.7% of Bidi workers in the Middle upper class. Majority (89.1%) of study participants were female. Most of the study population (97.7%) were Muslim. 71.8% participants were married and 91.4% belonged to nuclear family. 29.9% study subjects were illiterate. In respiratory system total 59.1% of Bidi worker were suffering from respiratory morbidity. Thus, all the dimensions of the study variables reveals that the health hazards existing in the Bidi rolling. Conclusion: This research revealed the high prevalence of morBidities and other occupational related hazards among study population as well as some of the modifiable risk factors of like Hypertension, DM, duration of work. Use of personal protection equipment’s (such as gloves, masks, first aid facility etc).might reduce of these morBidities and Hazards of Bidi workers.

Key words: tobacco, hypertension, tuberculosis, diabetes mellitus, respiratory distress.

 

INTRODUCTION

The organization of production process of Bidi at Pothia block in Kishanganj district could be of two types. In Factory System there is a direct relationship in between the Bidi merchants and the workers who roll Bidi at the factory shed. In Contractor System there is no direct relationship in between the workers and the Bidi merchants. The contractors act as middleman in between them. The Bidi merchants appoint some contractors who provide raw materials to the home based Bidi workers who roll Bidi at their home and return it to the merchants’ factory via the contractors. Recent industrialization and globalization are changing the visage of occupation morbidity drastically all over the world. Traditionally labour oriented markets are moving towards greater automation and mechanization, paving way to more diverse set of occupational related diseases and injuries. Exposure to occupational hazards increases the risk of morbidity and mortality.1 The Bidi rollers are starting their profession at very early age of their life. A number of health problems have been reported especially for the woman Bidi rollers. The continuous exposure to the tobacco dust became the source of some common diseases to almost all workers. The process of Bidi rolling releases large amount of waste particles of tobacco and Tenduleaves and that dusty work environment seriously affect the workers. The rollers are not using protective clothes, gloves or masks and are directly exposed to dusty environment. For the woman who worked at home in small huts with very little ventilation, the tobacco dust remains in the home where woman and their families eat, sleep and spend their entire time. This results they are being constantly exposed to conditions that mare more hazards to their health. The Bidi dust that is in the air therefore affects not only the Bidi roller but also their entire family too, leading to respiratory problems. The main health problems associated with Bidi rolling are body ache and eye strain. The most commonly found problems are asthma, tuberculosis, back strain, spondelitis, swelling of lower limbs and digestion problems. For woman the problems related to menstruation and pregnancy where they have heavy bleeding and lower back pain during menstruation and pain in lower abdomen. The woman employees are always affecting large number of miscarriages. Accessibility to health care facilities is not in satisfactory levels to these employees. Though the laws which seek to protect the interest of Bidi workers, the real benefit dose not reach the workers. The law is flouted in various ways and the workers are exploited. They are helpless because of poverty and lack of awareness. The labour laws are evading by the middle men, contractors and manufacturers by resorting to various tactics. The Bidi sector started as a house hold occupation gradually changed in to organized sectors and also co-operative societies are formed work together in Bidi making process and to improve the conditions of workers. At present the main problem which faces the workers are their poor socio economic status, education and training, which force them to work in unsafe environmental conditions. Our government has provided various welfare measures and schemes for the Bidi workers, like health schemes, education schemes, housing scheme, and social security etc. But the socio economic status of the Bidi workers remain at law level since the welfare measures are insufficient in comparison to the number of Bidi workers. This poor socio economic status of Bidi workers forced them to work continuously for hours in improper working posters and beyond the normal working capacities. This situation led to the development of health hazards among Bidi rollers. So there is a need to identify the occupational health hazards and the problems associated with their safety. The Govt. of India as well as various state governments with the support of judiciary has launched tobacco free initiatives in the form of legislations and notifications.

Some of the health effects experienced by Bidi workers include pain and cramps in the shoulders, neck, back and lower abdomen.2 The incidence of tuberculosis and bronchial asthma is higher than that among the general population, according to research by the Factory Advisory Services and Labor Institute in Bombay, a unit of the Labor Ministry of India.3The International Labor Organization cites ailments such as exacerbation of tuberculosis, asthma, anaemia, giddiness, postural and eye problems, and gynaecological difficulties among Bidi workers.4Reports from asearly as the 1970s relate the concerns of trade union leaders in Maharashtra that 50% of Bidi workers eventually died from tuberculosis or asthma.5Diseases such as tuberculosis are more easily transmitted when ventilation is poor and many Bidi workers work inside smoky households with open hearths, exposed to tobacco dust as wellas indoor air pollution. Tuberculosis is also associated with poor nutritional status. Bidi rollers often complain of loss of appetite, due to monotony as well as the smell of the raw materials. Bidi workers recognize the negative health effects and some women attempt to reduce harm bydrinking small amounts of nutritional supplements (tonic) or taking multi-vitamin injections, apopular practice in some areas of South India.6

Morbidity refers to the diseases and illness, injuries and disabilities in a population. Morbidity indicators are used to supplement mortality data to describe the health status of a population. Mortality indicators do not reveal the burden of ill health in a community, as for example, mental illness and rheumatoid arthritis. In general, countries at higher stages of social and human development report higher morbidity rates and vice versa. Morbidity statistics also tend to overlook a large number of conditions which are sub clinical, that is hidden part of the ice berg of the disease. The organization and production process of Bidi in Pothia block under Kishanganj district. In Factory system there is a direct relationship between the Bidi merchants and workers who roll Bidi at the factory shed. In Contractor system there is no direct relationship between Bidi merchants and workers. The contractors act as middle man in between them. The Bidi merchants appoint some contractors who provide raw materials to the home based Bidi workers who roll Bidi at their home and return it to the merchants’ factory via contractors. This study was conducted at chhatar Gachh in pothia block, where the maximum concentration of home based Bidi workers can be found within the Kishanganj district.

METHODS

Type of study: Community based observational study.

Study design: Cross -sectional study.

Study area: Present study was conducted in the block of Pathia of Kishanganj district in Bihar. Chhatar Gachh, is a place located in Bihar, region.

Geography of Chhatar Gachh:

Chhatar Gachh. is a Village in Pothia Block in Kishanganj District of Bihar State, India. It belongs to Purnia Division . It is located 25 KM towards North from District head quarters Kishanganj. 11 KM from Pothia. 353 KM from State capital Patna Chhatar Gachh. Pin code is 855117 and postal head office is Taiyabpur . Koltha ( 4 KM ) , Kharudah ( 5 KM ) , Jiran Gachh ( 6 KM ) , Jahangirpur ( 7 KM ) , Paharkatta ( 7 KM ) are the nearby Villages to Chhatar Gachh.. Chhatar Gachh. is surrounded by Thakurganj Block towards North , Islampur Block towards East , Kishanganj Block towards South , Goalpokhar-I Block towards South . 

Chhartar Gachh Profile:

According to 2011 report, In Chhatar Gachh village population of children with age 0-6 is 1200 which makes up 20.02 % of total population of village. Average Sex Ratio of Chhatar Gachh village is 927 which is higher than Bihar state average of 918. Child Sex Ratio for the Chhatar Gachh as per census is 1048, higher than Bihar average of 935.  Chhatar Gachh village has lower literacy rate compared to Bihar. In 2011, literacy rate of Chhatar Gachh village was 56.60 % compared to 61.80 % of Bihar. In Chhatar Gachh Male literacy stands at 62.08 % while female literacy rate was 50.51 %. 

Study setting:

Six villages under Pothia block namely

Study period:

The study period of the present study was from April 2018 to January 2019, total period of 10 months.

Inclusion criteria:

  • People staying at least 6 months at his residence.
  • At least 6 months of work experience was the criteria for eligibility of the study.

Exclusion criteria:

  • Not available after 3 successive home visits.
  • Unwilling individuals.

Sample size:

Based on the prevalence 36% of a study conducted by Srinivasan, Dr.Pilangoetal( give in reference ) with relative allowable error 15% the sample size will be 105 using formula 4pq / L2

Study technique:

    • Interviews of people from house to house visits with predesigned pretested structured interviewer administered questionnaire.
    • Anthropometric measurement and physical examination.                           
    • Review of Medical records.        

    RESULTS

    Table 1: Distribution of the Study Participants according to demographic, socioeconomic and environmental Characteristics ( n = 174 )

    Variables

    Category

    Number( % )

    Age in completed years

     

    15 – 30 yrs.

    30 - 41 yrs.

    42 - 50 yrs.

    51 yrs onwards.

    Mean ± SD

    105 (60.3% )

    35 (20.1 % )

    20 (11.5 % )

    14 ( 8.0% )

    26 ± 11

    sex

    Male

    Female

    19 ( 10.9 % )

    155 ( 89.1% )

    Education

    Illiterate

    Up to primary(Class I- IV)

    Middle (Class V-VIII)

    Secondary(IX -X)

    52 (29.9 % )

    72 (41.8% )

    48 (25.7 % )

    1 (0.6 % )

    Marital Status

     

    Unmarried

    Married

    Widow

    47 (27.0 %)

    125 (71.8 %)

    2 (1.14 %)

    Income

    As per B. G. Prasad Scale, 2018 PCI<811,(Lower class)

    800-1500 (lower middle class), 1500-2500 (Middle class ), 2600-5000 ( Middle upper class), 5500-and above (Upper Class )

    1500-2500 (Class III)

    2600-5000 (Class II)

    5500-and above (Class I)

    57 (32.7%)

    109 (62.7%)

    08 (4.6%)

    Religion

    Hindu

    Muslim

    04 ( 2.3 % )

    170 ( 97.7 %)

    Type of family

    Nuclear

    Joint

    159 (91.4%)

    15 (8.6%)

    No. of Family Members

    Mean ± SD

    5 ± 2

    Wife’s occupation

    Unskilled

    Housewife

     21 (12.0 % )

    153 (88.0%)

    Husband’s occupation

    Skilled labour

    Unskilled

    23 (13.2%)

    151 (86.8%)

    Type of house

    Semi pukka

    Pukka

    96 (55.2%)

    78 (44.8%)

    Type of latrine

    Sanitary

    Other

    142 (81.6%)

    32(18.4 %)

    Source of water supply

    Tube well

    174 (100.0%)

     

    Table 2: Distribution of the Study population according to work habit Characteristics ( n = 174 )

    Variables

    Category

    Frequency ( % )

    Duration of work

    < 5yrs

    5 to 10 years

    >10yrs

    Mean ± SD

    42 (24.1%)

    82 (47.1%)

    50 (28.7%)

    7 ± 3

    Working hours

    (per day)

    7-8 hrs

    8-9 hrs

    10-11 hrs.

    Mean ± SD

    112(64.4%)

    42(24.1%)

    20 (11.5%)

    8 ± 2

     

    Table 3: Distribution of the Study population according to Self Reported morBidities (n = 174)

    Variables

    Category

    Number ( % )

    Cough

    Yes

    No

    109(62.6%)

    65(37.3%)

    Duration of cough

    (n=205)

    <15d

    15-30d

    >30d

    74 (67.9%)

    33 (30.3%)

    2 (1.8 %)

    Expectoration

    Yes

    No

    95(54.6%)

    79(45.4%)

    Sneezing

    Yes

    No

    24(13.8%)

    150(86.2%)

    Chest pain

    Yes

    No

    61(35.0%)

    113(65.0%)

    Breathlessness

    Yes

    No

    95(54.6%)

    79(45.4%)

    burning of eyes (during or after work)

    Yes

    No

    22(12.6%)

    152(88.4%)

    Watering of eyes

    Yes

    No

    25(14.4%)

    149(85.6%)

    Headache

    Yes

    No

    19(10.9%)

    155(89.1%)

    Dizziness

    Yes

    No

    13(7.5%)

    161(92.5%)

    Vertigo

    Yes

    No

    16 (9.2%)

    158(90.8%)

    Hyperaesthesia

    Yes

    No

    12(6.9%)

    162(93.1%)

    Hypo aesthesia

    Yes

    No

    15(8.6%)

    159(91.4%)

    Nausea

    Yes

    No

    20 (11.5%)

    154 (88.5%)

    Itching

    Yes

    No

    12(6.9%)

    162(93.1%)

    scabies

    Yes

    No

    26 (14.9% )

    148 (85.1% )

    -Dermatitis

    Yes

    No

    4 (2.3% )

    170 (97.7% )

    Musculoskeletal Problems Both Sides where applicable

    ( Duration 7 days )

     

    Neck

    yes

    no

    145 (83.3% )

    29 (16.7% )

    Shoulder

    yes

    no

    135 (77.6 % )

    39 ( 22.4% )

    elbow

    yes

    no

    112(64.4 % )

    62 (35.6 % )

    Wrist

    yes

    no

    42 (24.1%)

    132 (75.9% )

    Hip /Thigh

    Yes

    No

    55 (31.6% )

    119 (68.4 % )

    Knee

    Yes

    No

    98(56.3 % )

    76(43.7 % )

    Upper Back

    Yes

    No

    92(52.9% )

    82(47.1 % )

    Lower Back

    Yes

    No

    105(60.3 % )

    69 (39.7% )

    Ankle/Feet

    Yes

    No

    72(41.4% )

    102(58.6 % )

    Anxiety

    Normal

    111(63.7%)

    Mild

    23 (13.2%)

    Moderate

    27 (15.5%)

    Severe

    13 (7.5%)

    Depression

    Normal

    135 (77.6%)

    Mild

    31(17.8%)

    Moderate

    08 (4.6%)

    Mental stress (by Das scale)

    Normal

    Mild

    Moderate

    133(76.4%)

    32 (18.4%)

    09(5.2%)

     

    Table 4: Distribution of Study population (Female participants of reproductive age group) according to past obstetric complications (in last 10 years) ( n = 103)

    Variables

    Category

    Number ( % )

    Spontaneous abortion

    Yes

    No

    05(4.8 % )

    98 (95.2 % )

    Low birth weight

    Yes

    No

    15 (14.6 % )

    88 (85.4 % )

    Still birth

    Yes

    No

    04(4.9 % )

    99 (95.1 % )

    *Out of 155 female participants 99 belonged to reproductive age group (15-49 yr)

     

    Table 5: Distribution of the Study population according to history of chronic diseases (in last one month) (n = 174)

    Variables

    Category

    Frequency ( % )

    Tuberculosis

    Yes

    No

    15 (8.6%)

    159 (91.4%)

    Diabetes Mallitus

    Yes

    No

    30 (17.2 %)

    144 (82.8 %)

    Hypertension

    Yes

    No

    19 (10.9 %)

    155 (89.1 %)

    Ischemic Heart Disease

    Yes

    No

    12 (6.9 %)

    162 (93.1 %)

    Asthma/COPD

    Yes

    No

    45 (25.8 %)

    129 (74.2 %)

     

    Table 6. Shows the distribution of Bidi workers according to Examination (n=174)

    Clinical Exam. finding

    Category

    Frequency ( % )

    pallor

    Present

    Absent

    15 (8.6 % )

    159 (91.4%)

    clubbing

    Present

    Absent

    10 (5.7 % )

    164 (94.3 % )

    cyanosis

    Present

    Absent

    11 (6.3 % )

    163 (93.7% )

    oedema

    Present

    Absent

    22 ( 9.4 % )

    152 (90.6 % )

    lymadenopathy

    Present

    Absent

    19 ( 12.6 % )

    155 (87.4 % )

     

     

    Table 7: To find out the factors associated with the morbidity of the Bidi workers(n=52)

    Variable

    Category

    Poor health

    Number (%)

    Age

    >25 yr (Mean)

    ≤25 yr

    29 (55.8%)

    23 (54.2%)

    Sex

    Female

    Male

    50 (90.2%)

    02 (09.8%)

    Education

    Up to primary

    Above primary

    23 (44.2%)

    29 (55.8%)

    Marital status

    Married

    Others

    44 (84.6%)

    09 (15.4%)

    PCI per month

    ≤ Rs 5000 (median)

    >Rs 5000

    32 (61.5%)

    20 (38.5%)

    Type of Family

    Joint

    Nuclear

    16 (30.8%)

    36 (69.2%)

    Type of housing

    Semi pukka

    Pukka

    29 (55.8%)

    23 (44.2%)

     

    Table 8: Logistic Regression by Forward Conditional method

     

    Independent variable

    Dependent variable

    AOR (95% CI )

    P-value

    Step 1

    age

    Yes

    0.322

    0.001

    Step2

    age

    Yes

    0.212

    0.000

    Duration of work

    yes

    2.147

    0.000

    Step 3

    age

    Yes

    0.168

    0.002

    Duration of work

    yes

    11.23

    0.000

    Manufacturing of Bidi

    yes

    0.187

    0.000

    Step 4

    age

    Yes

    0.214

    0.001

    Duration of work

    yes

    6.744

    0.000

    Manufacturing of Bidi

    Muslim

    0.142

    0.002

    Type of Family

    Joint

    3.255

    0.001

    Step 5

    age

    Yes

    0.124

    0.000

    Duration of work

    yes

    7.324

    0.000

    Manufacturing of Bidi

    yes

    0.125

    0.001

    Type of Family

    Joint

    2.150

    0.001

    Education

    Illiterate

    0.425

    0.002

      • Variables entered on step 1. age
      • Variables entered on step 2. duration of work
      • Variables entered on step 3. Manufacturing of Bidi
      • Variables entered on step 4. Type of Family
      • Variables entered on step 5. education

      DISCUSSION

      An epidemiological study was conducted for a period of ten months in block of Pothia and villege of Chhatar Gachh in Kishanganj district under Bihar. A total of 174 study subjects were interviewed and Data was collected. This was a descriptive study with cross-sectional design to assess morbidity profile of Bidi workers among adult population.Out of total of 174 study subjects, The age structure of the study subjects had been categorized into four groups, namely: 15- 30 years,30-41 years,42 50 years and 51 years onwards, with majority of the subjects(60.3%) belonging to the 15-30 years age group followed by 20.1% in 30 - 41 years age group and lowest (8.0%) were aged 51 years and above. Mean and SDvalue of age was 26±11. Mahesh v hedge, Ajiths, Kavithashettyetal, 2015 in study of Bidi workers revealed that the mean age of women in the study was 37 years (range, 20 to40years).7 Madhusudan m, Dipak patil, Jayarams et al study where mean age of the study subjects was 40.8 years (SD 11.3).8 KouserBanu K, Sitalakshmi R. PadmavathiRetal et al study where both sexes of age were 20 to 50 years .9 It was observed that these findings in my study were similar to the findings of previous studies of several research workers mentioned above. In my study with174 respondents in the age group15 years and onwards it was found out that pre valence was (89.1%) of study subjects among females and 10.9% among males. Madhusudan m, Dipak patil, Jayarams et al study of Bidi worker (98.2%) were females and 8 (1.8%) were males.7 Thus the results of above study were similar to that of my study. Significant proportion women worked as a Bidi roller in rural area and dependent for their livelihood. In fact, some economists have used the term labour of love. In this study Women worked due to earning extra money for their future economic security and livelihood during seasonal period. With respect to Religion more than three fourths of the respondents (97.7%) are practising Islamic faith and only (2.3%) belong to the Hinduism as opposed to the B.K Sharma et al study where 71% practiced Hinduism whereas 24.4% belonged to the Islamic faith .Whereas Sanjoy Kumar Chanda et al study had contrastingly different results with 93.3% subjects practising Islam and only 6.7% practising Hinduism.10 Madhusudan m, Dipak patil, Jayarams et al study (431)Bidi workers where Hindu 336(77%) Muslim 98(22%).8 The respondents showed wide range of highest attained educational level 41.8% of the subjects had completed till up to primary of education, 1% till secondary and 25.7% till middle classes .But only 29.9% were illiterate. Among the Bidi workers 0.6% were chewing commercial and non-commercial smokeless tobacco products like gul, gutkhas, khaini, and 0.8% were current smoker and 0.5% were current alcoholic. This substance had a close relationship with that of occurrence of oral morbidity this low socio-economic poor education backward aged class workers also believe that chewing betal was beneficial for health.The results are different from Sarfaraz Khan et al study, Rinko Kinoshita et al study ShahnajParveen et al study and Rashmi Sharma et al where 31% , 52.9% , 50% and 42.9% of the respondents were illiterate respectively. . Chandra kanta das et al study that illiterate 60% and literate 30% were present. Madhusudan m. Dipak patil, Jayarams et al study,(22%) subjects were illiterates, Primary (26%) Middle (34% Secondary (16%) PUC/Degree (2%).8 Moreover B.K Sharma et al study showed that 30% of the subjects were graduate and 14.5% post graduates unlike the present study where only 7.3% respondents had completed graduation and none had studied till post graduation level11 Talking about the employment status of the respondents, were employed in skilled or semi-skilled jobs but majority of the married respondents were homemakers (88.0%) where majority of the married respondents were homemakers. But a Ghana study had 89% of the respondents being employed in a job.12 According to the Modified B.G Prasad scale (May 2014) majority of the respondents (42.7%) belonged to Level IV of socio-economic status whereas none belonged to Level I. Besides, 83.3% of the respondents belonged to nuclear family with only 91.4% residing in a joint family set up similar to other studies where mostly the respondents belonged to nuclear family. But a study conducted in A.P had majority of subjects (58%) hailing from joint families. Majority of the respondents (71.8 %) were married with only (27.0%) being unmarried. These percentages were different from the Muzamil Jan et al study(65) where 50% of the respondents were married and the rest were unmarried. Besides 85.6% of the married respondents were married before the age of 18 years.. Madhusudan m, Dipak patil, Jayarams et al study (431) Bidi worker where status Married 329(75%)Not married 36(8.4%)Widowed 67(15%) Divorcee / separated 7(1.6%) .8 Almost half (62.7%) of study population belonged to Class II, followed by a quarter (32.7%) in Class III and least 4.6% belonged to class1 socio-economic class as Per Modified B.G Prasad Scale-2018. in this study most of the workers belonged to lower socio economic status. In the present study two third of the study population (55.2%) lived in semi pucca type of house. Shows the univariate and multivariate logistic regression model prepared to determine the respondent’s Univariate linear regression presented Age, Marital status, Occupation, Per Capita Income and Family Type as statistically significant predictors of Morbidity of study subject. This Logistic regression was done taking those independent variables which were found significant in bivariate analysis namely age, Education, type of family, manufacturing of Bidi,

       

      CONCLUSION

      The household Bidi rolling industry is a high risk occupation to develop various types of health problems. In respiratory system of Bidi worker were suffering from respiratory morbidity. This research revealed the high prevalence of morBidities and other occupational related hazards among study population as well as some of the modifiable risk factors of like Hypertension, DM, duration of work. Use of personal protection equipment’s (such as gloves, masks, first aid facility etc).might reduce of these morBidities and Hazards of Bidi workers. Therefore targeted interventions that promote healthy life styles and reduce the risk factors along with screening for early diagnosis would help in reducing the burden of morBidities and its complications. Future research will be needed to determine the stability of the correction factors for the reduction of the morBidities and Hazards regarding Bidi worker.

       

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