| Literature DB >> 31001011 |
Deepak Justine Viswanathan1, A M Veerakumar2, Hemalatha Kumarasamy1.
Abstract
BACKGROUND: Changes in climatic conditions and other factors including trade and commerce have influenced agriculture worldwide. These factors have created a crisis among farmers.Entities:
Keywords: Depression; factors; farmers; resilience; suicidal ideation
Year: 2019 PMID: 31001011 PMCID: PMC6454957 DOI: 10.4103/jnrp.jnrp_257_18
Source DB: PubMed Journal: J Neurosci Rural Pract ISSN: 0976-3155
Sociodemographic details of the study participants
| Frequency (%) | |
|---|---|
| Age category (years) | |
| 20-29 | 16 (8.2) |
| 30-39 | 45 (23.2) |
| 40-49 | 49 (25.3) |
| 50-59 | 47 (24.2) |
| 60-69 | 24 (12.4) |
| ≥70 | 13 (6.7) |
| Gender | |
| Males | 124 (63.9) |
| Females | 70 (36.1) |
| Education status | |
| Illiterate | 21 (10.8) |
| Primary | 39 (20.1) |
| High school | 100 (51.6) |
| Higher secondary | 19 (9.8) |
| Graduate | 15 (7.7) |
| Socioeconomic status (Rs.) | |
| Upper (≥6254) | 9 (4.7) |
| Upper middle (3127-6253) | 14 (7.2) |
| Middle (1876-3126) | 44 (22.7) |
| Lower middle (938-1875) | 80 (41.2) |
| Lower (<938) | 47 (24.2) |
| Total | 194 (100) |
Figure 1Categorization of depression among farmers based on Patient Health Questionnaire scale
Factors associated with depression among the participants
| Variables | Mean score±SD | ||
|---|---|---|---|
| Gender** | |||
| Males | 13±5.1 | 2.95 | 0.004* |
| Females | 10.8±4.5 | ||
| Type of farming** | |||
| Small and marginal farmers | 12.4±5 | 1.7 | 0.07 |
| Large-scale farmers | 8.6±5.2 | ||
| Farming experience (years)¥ | |||
| <10 | 13.9±4.7 | 5.97 | 0.001* |
| 10.1-19.9 | 12.3±5.1 | ||
| 20-29.9 | 12.7±4.9 | ||
| ≥30 | 10.09±4.7 | ||
| Socioeconomic status¥ | |||
| Upper/upper middle | 11.9±4.2 | 0.09 | 0.9 |
| Middle | 12.1±4.6 | ||
| Lower middle/lower | 12.3±5.3 | ||
| Impact of drought on the yield** | |||
| Completely eliminated | 14.1±5.7 | 2.93 | 0.004* |
| No significant reduction | 11.6±4.6 |
*P value significant, **Student’s t-test, ¥ANOVA, post hoc test was significant between experience <10 and >30 years and experience between 20-29.9 and >30 years. SD: Standard deviation, ANOVA: Analysis of variance
Factors related to suicidal ideation among the participants
| Variables | Yes, | No, | |
|---|---|---|---|
| Age (years) | |||
| 20-39 | 43 (70.5) | 18 (29.5) | 0.14 |
| 40-59 | 54 (56.2) | 42 (43.8) | |
| ≥60 | 20 (54.1) | 17 (45.9) | |
| Gender | |||
| Males | 85 (68.5) | 39 (31.5) | 0.002* |
| Females | 32 (45.7) | 38 (54.3) | |
| Type of farming | |||
| Small and marginal farmers | 116 (61.7) | 72 (38.3) | 0.026* |
| Large-scale farmers | 1 (16.7) | 5 (83.3) | |
| Farming experience (years) | |||
| <10 | 40 (72.7) | 15 (27.3) | 0.015* |
| 10.1-19.9 | 14 (58.3) | 10 (41.7) | |
| 20-29.9 | 39 (65) | 21 (35) | |
| ≥30 | 24 (43.6) | 31 (56.4) | |
| Socioeconomic status | |||
| Upper/upper middle | 13 (56.5) | 10 (43.4) | 0.21 |
| Middle | 22 (50) | 22 (50) | |
| Lower middle/lower | 82 (64.5) | 45 (35.4) | |
| Impact of drought on the yield | |||
| Completely eliminated | 36 (76.6) | 11 (23.4) | 0.009* |
| No significant reduction | 81 (55.1) | 66 (44.9) |
*P value significant
Factors affecting resilience among the participants
| Variables | Mean score±SD | ||
|---|---|---|---|
| Gender** | |||
| Males | 50.7±9.6 | 2.4 | 0.016* |
| Females | 47.1±10.4 | ||
| Type of farming** | |||
| Small and marginal farmers | 44.1±13.4 | 1.3 | 0.19 |
| Large-scale farmers | 49.6±9.9 | ||
| Farming experience (years)¥ | |||
| <10 | 50.64±9.8 | 2.76 | 0.04* |
| 10.1-19.9 | 50.54±9.4 | ||
| 20-29.9 | 50.92±10.6 | ||
| ≥30 | 46.2±10.2 | ||
| Impact of drought on the yield** | |||
| Completely eliminated | 49.09±10.1 | 0.28 | 0.77 |
| No significant reduction | 49.5±10.07 |
*P value significant, **Student’s t-test, ¥ANOVA. SD: Standard deviation, ANOVA: Analysis of variance