Background and Objectives: The high rate of farmer suicide in India is impacted by various demographic and socioeconomic factors; it is a serious public health concern. Finding out who is at risk and how to best prevent suicide attempts among farmers requires knowledge of the demographics and socioeconomic status of those admitted after the attempt. The current research set out to describe the demographics and socioeconomic status of farmers who sought treatment at a major medical center after a suicide attempt. Materials and Methods: A cross-sectional descriptive research was carried out in a hospital over the course of a year involving 30 farmers who were admitted after attempting suicide. Age, gender, marital status, educational attainment, family type, landholding pattern, monthly income, and debt were some of the socio-demographic characteristics covered by a pre-designed and semi-structured proforma that was used to gather data. Frequencies and percentages were used to express the data that was studied using descriptive statistics. Results: There were 23 men and 7 females out of 30 patients, or 76.7% and 23.3%, respectively. Eighteen patients, or 60% of the total, were in the 31-50 age bracket, with seven patients, or 23.3%, falling into the 18-30 age bracket. The majority of patients belonged to nuclear families and were married (22, 73.3%). There were 12 people with primary education (40%), 9 with secondary education (30%), 5 with illiteracy (16.7%), and 4 with education beyond secondary level (13.3%). Twenty patients (66.7%) had a monthly income below ₹10,000, and a significant number were small or marginal farmers (21, 70%). Thirteen patients (56.7% of the total) reported crop failure in the previous year, while twenty-three patients (76.7% of the total) reported being indebted. Twenty people (66.7% of the total) attempted suicide by swallowing pesticides. Conclusion: Suicide attempts are most common among middle-aged married men farmers from nuclear families who had low incomes, tiny landholdings, and substantial debt, according to the study. Important socioeconomic factors include debt and crop failure. This vulnerable group may see a decrease in suicide attempts if financial assistance programs, mental health services, and welfare programs are all strengthened and tailored to farmers.
Suicide is a serious public health problem around the world and one of the biggest causes of early mortality, especially in nations with low or medium income levels. Researchers, public health specialists, and policymakers in India have noticed that the number of farmers who kill themselves has been going up alarmingly over the past few decades [1, 2]. This is a big social, economic, and mental health problem. Farming used to be seen as a safe job, but now it's increasingly usual for farmers to experience financial problems, work-related stress, and mental health issues [3, 4].
Farmers are under a lot of stress because of things like climate change, crop failure, rising input costs, unstable market pricing, and not being able to get institutional finance. Debt is a big reason why people are having more and more trouble with money, and using informal moneylenders often makes things worse. There are already a lot of problems with the economy, and social commitments, family expectations, a lack of good work options, and weak social security systems all make things worse. All of these conditions make farmers more likely to have mental health problems, feel unhappy, or even think about or act on suicide [4, 5].
Socio-demographic parameters such as age, gender, married status, education level, family composition, landholding pattern, and socioeconomic status significantly influence the probability of an individual attempting suicide. To identify high-risk groups and underlying sociocultural causes, it is essential to comprehend these factors among farmers who attempt suicide. Research on suicide thoughts and attempts undertaken in hospitals is beneficial since it encompasses individuals who have survived and can articulate their personal experiences leading to the attempt [6, 7].
There is insufficient complete data regarding the socio-demographic profile of farmers hospitalized following suicide attempts, which is a significant issue. This type of data is needed to make mental health services better and to create successful agricultural and social welfare projects [8]. This study aimed to analyze the socio-demographic characteristics of farmers who were hospitalized following suicide attempts, to aid in the formulation of preventive measures and policies.
This was a descriptive, cross-sectional study conducted in the emergency and psychiatric departments of a tertiary care teaching hospital. The research was conducted over the span of one year including farmers who were admitted subsequent to a suicide attempt. This study was conducted at the Department of Psychiatry, Deccan College of Medical Sciences (DCMS) Kanchanbagh, Hyderabad, Telangana - 500058, India between October 2019 to September 2020. The study included 30 patients who were classified as farmers and admitted following suicide attempts during the study period. Data Collection Tool and Procedure: We used a pre-designed, semi-structured proforma to gather data after we got informed consent. Demographic information was documented, including details about the participants' ages, genders, marital statuses, educational backgrounds, family types, landholding sizes, income levels, debt levels, and crop failure histories. From patient interviews and medical records, details regarding the technique of suicide attempt were also noted. The privacy of the people who took part was guaranteed. Inclusion Criteria: • Farmers admitted to the hospital following a suicide attempt. • Patients aged 18 years and above. • Patients who were medically stable and able to provide informed consent. • Both male and female farmers. Exclusion Criteria: • Patients with accidental poisoning or injuries not related to suicide attempts. • Farmers with severe cognitive impairment or altered sensorium preventing reliable data collection. • Patients who refused to give informed consent. • Non-farmers admitted following a suicide attempt. Statistical Analysis: Microsoft Excel was used for data entry, and the right statistical programs were used for analysis. The outcomes were presented as percentages and frequencies after descriptive statistics were used.
In this study, 30 farmers were included who had admitted to having attempted suicide. Tables 1–5 show the socio-demographic parameters, economic variables, and suicide attempt techniques.
Table 1: Distribution of patients according to age and gender
|
Age group (years) |
Male n (%) |
Female n (%) |
Total n (%) |
|
18–30 |
5 (16.7) |
2 (6.6) |
7 (23.3) |
|
31–40 |
7 (23.3) |
2 (6.6) |
9 (30.0) |
|
41–50 |
7 (23.3) |
2 (6.6) |
9 (30.0) |
|
>50 |
4 (13.4) |
1 (3.4) |
5 (16.7) |
|
Total |
23 (76.7) |
7 (23.3) |
30 (100) |
Table 1 shows that men made up the bulk of the patients. Farmers in their middle years were the most at risk, since 60% of suicide attempts occurred in the 31-50 age bracket.
Table 2: Marital status and type of family of the study participants
|
Variable |
Category |
Number (n) |
Percentage (%) |
|
Marital status |
Married |
22 |
73.3 |
|
Unmarried |
6 |
20.0 |
|
|
Widowed/Separated |
2 |
6.7 |
|
|
Type of family |
Nuclear |
19 |
63.3 |
|
Joint |
11 |
36.7 |
It appears that those who attempted suicide had more familial and financial commitments, as Table 2 reveals that 73.3% of the farmers were married and 63.3% belonged to nuclear families.
Table 3 shows that 56.7% of the patients were either completely illiterate or had only completed elementary school. Their low socio-economic position was seen in the large percentage (66.7%) whose monthly income was less than ₹10,000.
Seventy percent of the patients were small-scale or marginal farmers, as seen in Table 4. Major economic stresses contributing to suicide attempts were highlighted by the fact that 76.7% were indebted and 56.7% had reported crop failure in the preceding year.
Table 3: Educational status and monthly income of the patients
|
Variable |
Category |
Number (n) |
Percentage (%) |
|
Educational status |
Illiterate |
5 |
16.7 |
|
Primary education |
12 |
40.0 |
|
|
Secondary education |
9 |
30.0 |
|
|
Above secondary |
4 |
13.3 |
|
|
Monthly income |
< ₹10,000 |
20 |
66.7 |
|
₹10,000–20,000 |
7 |
23.3 |
|
|
> ₹20,000 |
3 |
10.0 |
Table 4: Landholding pattern, indebtedness, and crop failure
|
Variable |
Category |
Number (n) |
Percentage (%) |
|
Landholding status |
Marginal/small farmer |
21 |
70.0 |
|
Medium/large farmer |
9 |
30.0 |
|
|
Indebtedness |
Present |
23 |
76.7 |
|
Absent |
7 |
23.3 |
|
|
Crop failure (last year) |
Yes |
17 |
56.7 |
|
No |
13 |
43.3 |
Table 5: Method of suicide attempt among the study participants
|
Method of attempt |
Number (n) |
Percentage (%) |
|
Pesticide poisoning |
20 |
66.7 |
|
Other chemical poisoning |
5 |
16.7 |
|
Hanging |
3 |
10.0 |
|
Others |
2 |
6.6 |
|
Total |
30 |
100 |
The simple availability of harmful substances among farmers is reflected in the most common means of suicide attempt, as indicated in Table 5, which is pesticide poisoning (66.7%) followed by other chemical poisoning and hanging.
The present study identified that middle-aged married men from nuclear families, characterized by low educational achievement and income, exhibited the highest propensity for suicide while engaged in farming activities. Most importantly, there were economic and agricultural stresses, notably those related to small or marginal landholdings, debt, and recent crop failure. Suicide attempts through pesticide poisoning are prevalent, underscoring the necessity of accessible dangerous agricultural pesticides. These findings underscore that farmers' suicide attempts are influenced by socioeconomic and agricultural adversities, rather than only by individual mental health issues. A comprehensive preventative approach is essential, encompassing financial assistance, debt alleviation, and crop insurance, regulated pesticide access, and enhanced mental health services. Early identification of high-risk farmers and targeted socio-economic interventions may help lower the number of suicide attempts and improve the overall health of the farming community. Funding None Conflict of Interest: None