| Literature DB >> 33643869 |
Anirban Majumder1, Sudip Chatterjee2, Soumyabrata Roy Chaudhuri1, Soma Chakraborty3.
Abstract
CONTEXT: Gender incongruent individuals are exposed to unique stressors as a result of their minority social position. Poor social support has a further adverse impact on the lives and wellbeing of gender incongruent individuals. There is a paucity of scientific data from India on the socioeconomic status (SES) of gender incongruent community. AIMS: Aim of the study is to understand and estimate the social support, wellbeing, and SES of gender incongruent individuals in Eastern India. SUBJECTS AND METHODS: Data of 120 gender incongruent patients from the endocrinology outpatient department of a tertiary care hospital in eastern India were collected. We looked at demographic characteristics, social support, underlying psychiatric comorbidities, and SES. SES was calculated by the Kuppuswamy's socioeconomic status (KSS) scale based on occupation, education, and income. STATISTICAL ANALYSIS USED: Microsoft Word and Excel were used to generate tables.Entities:
Keywords: Gender incongruence; India; Kuppuswamy's socioeconomic status scale; hijra; transgender persons
Year: 2021 PMID: 33643869 PMCID: PMC7906098 DOI: 10.4103/ijem.IJEM_501_20
Source DB: PubMed Journal: Indian J Endocrinol Metab ISSN: 2230-9500
Demographic characteristics for total sample (n=120)
| Demographic and identity characteristics | Total sample ( | |
|---|---|---|
| Individuals assigned male sex at birth ( | Individuals assigned female sex at birth ( | |
| Age (year) | 25±5.42 | 24.7±4.63 |
| Gender identity | ||
| Transfeminine | 109 (100%) | 0 |
| Bigender | 0 | 0 |
| Transmasculine | 0 | 11 (100%) |
| Male cross-dresser | 0 | 0 |
| Dressings | ||
| Average age of change in dress | 15.7 | 11.4 |
| Unisex dressing | 53 (48.62%) | 0 |
| Full-time cross-dressing | 19 (17.43%) | 11 (100%) |
| Part-time cross-dressing | 28 (25.60%) | 0 |
| No change in dressing | 9 (8.25%) | 0 |
| Sexual orientation | ||
| Attracted to males | 100 (91.74%) | 0 |
| Attracted to females | 3 (2.7%) | 11 (100%) |
| Bisexual | 2 (1.83%) | 0 |
| Asexual | 0 | 0 |
| Don’t know | 4 (3.66%) | 0 |
| Marital status | ||
| Single and no relation | 26 (23.85%) | 1 (9.09%) |
| Single and in relation | 48 (44.03%) | 9 (81.81%) |
| Single and in multi-relation | 33 (30.27%) | 1 (9.09%) |
| Married | 2 (1.83%) | 0 |
| Married but separated | 0 | 0 |
| Divorced | 0 | 0 |
| Addiction | ||
| No addiction | 61 (55.04%) | 4 (36.36%) |
| Presence of addiction | 48 (44.9%) | 7 (63.63%) |
| 1. Smoking and alcohol | 23 (21.10%) | 4 (36.36%) |
| 2. Only smoking | 11 (10.09%) | 2 (18.18%) |
| 3. Only alcohol | 14 (12.84%) | 1 (9.09%) |
| 4. Marijuana | 0 | 0 |
| 5. Intravenous drug | 0 | 0 |
Mental health characteristics for total sample (n=120)
| Mental health parameters (total sample | Individuals assigned male sex at birth ( | Individuals assigned female sex at birth ( |
|---|---|---|
| Psychiatry consultation advised | 109 (100%) | 11 (100%) |
| In patient hospitalization for psychological reasons in past | 0 | 0 |
| Professional therapy for psychiatry comorbidities (anxiety/depression) | 3 (2.7%) | 0 |
| Gender counseling done and cleared for cross sex hormone therapy | 73 (66.97%) | 7 (63.63%) |
| Gender counseling done but yet to clear for cross sex hormone therapy | 36 (33.03%) | 4 (36.37%) |
Social support
| Demographic and identity characteristics | Total sample ( | |
|---|---|---|
| Individuals assigned male sex at birth ( | Individuals assigned female sex at birth ( | |
| Support | ||
| Family-not supported | 18 (16.51%) | 1 (9.09%) |
| Family-full supported | 74 (67.88%) | 10 (90.90%) |
| Family partial supported | 17 (15.59%) | 0 |
| Friend-not supported | 15 (13.76%) | 0 |
| Friend-full supported | 88 (80.73%) | 11 (100%) |
| Friend partial supported | 6 (5.50%) | 0 |
| Society-not supported | 45 (41.28%) | 3 (27.27%) |
| Society-full supported | 48 (44.03%) | 8 (72.72%) |
| Society-partial supported | 16 (14.67%) | 0 |
Kuppuswammy socioeconomic status score for total sample (n=120)
| Socioeconomic status | ||
|---|---|---|
| Parameters | Individuals assigned male sex at birth | Individuals assigned female sex at birth |
| Occupation category (head of the family) | ||
| Professional | 3 (2.75%) | 0 |
| Semi-professional | 5 (4.58%) | 0 |
| Arithmetic skill jobs | 23 (21.10%) | 6 (54.54%) |
| Skilled worker | 9 (8.25%) | 2 (18.18%) |
| Semi-skilled worker | 65 (59.63%) | 3 (27.27%) |
| Unskilled worker | 4 (3.66%) | 0 |
| Unemployed | 0 | 0 |
| Education category (head of the family) | ||
| Postgraduate/professional degree | 19 (17.43%) | 1 (9.09%) |
| Graduate degree | 27 (24.77%) | 4 (36.36%) |
| Higher secondary certificate | 27 (24.77%) | 0 |
| High school certificate | 14 (12.84%) | 3 (27.27%) |
| Middle school certificate | 8 (7.33%) | 2 (18.18%) |
| Literate | 14 (12.84) | 1 (9.09%) |
| Illiterate | 0 | 0 |
| Family income | ||
| 47,657 and above | 17 (15.59%) | 2 (18.18%) |
| 23,829-47,656 | 19 (17.43%) | 3 (27.27%) |
| 17,871-23,828 | 21 (19.26%) | 2 (18.18%) |
| 11,914-17,870 | 17 (15.59%) | 4 (36.36%) |
| 7148-11,913 | 25 (22.93%) | 0 |
| 2407-7147 | 10 (9.17%) | 0 |
| 2406 and below | 0 | 0 |
| Score | ||
| 26-29 Upper | 4 (3.66%) | 0 |
| 16-25 Upper middle | 33 (30.27%) | 5 (45.45%) |
| 11-15 Lower middle | 45 (41.28%) | 5 (45.45%) |
| 5-10 Upper lower | 27 (24.77%) | 1 (9.09%) |
| <5 Lower | 0 | 0 |