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A qualitative study of factors affecting mental health amongst low-income working mothers in Bangalore, India
© Travasso et al.; licensee BioMed Central Ltd. 2014
Received: 13 June 2013
Accepted: 3 February 2014
Published: 7 February 2014
Low-income urban working mothers face many challenges in their domestic, environmental, and working conditions that may affect their mental health. In India, a high prevalence of mental health disorders has been recorded in young women, but there has been little research to examine the factors that affect their mental health at home and work.
Through a primarily qualitative approach, we studied the relationship between work, caring for family, spousal support, stress relief strategies and mental health amongst forty eight low-income working mothers residing in urban slums across Bangalore, India. Participants were construction workers, domestic workers, factory workers and fruit and vegetable street vendors. Qualitative data analysis themes included state of mental health, factors that affected mental health positively or negatively, manifestations and consequences of stress and depression, and stress mitigators.
Even in our small sample of women, we found evidence of extreme depression, including suicidal ideation and attempted suicide. Women who have an alcoholic and/or abusive husband, experience intimate partner violence, are raising children with special needs, and lack adequate support for child care appear to be more susceptible to severe and prolonged periods of depression and suicide attempts. Factors that pointed towards reduced anxiety and depression were social support from family, friends and colleagues and fulfilment from work.
This qualitative study raises concerns that low-income working mothers in urban areas in India are at high risk for depression, and identifies common factors that create and mitigate stress in this population group. We discuss implications of the findings for supporting the mental health of urban working women in the Indian context. The development of the national mental health policy in India and its subsequent implementation should draw on existing research documenting factors associated with negative mental health amongst specific population groups in order to ensure greater impact.
KeywordsLow-income work Mental health Women’s health India
Mental health disorders contribute significantly to the global burden of non-communicable chronic disease: the World Health Organization has estimated that mental and behavioural disorders account for 12% of the global burden of disease , while community-based epidemiological studies in different settings have recorded a lifetime prevalence of mental disorders ranging from 12.2–48.6%, with a 12-month prevalence from 8.4-29.1% . Common mental disorders can increase risk for communicable diseases (HIV/AIDS, tuberculosis), non-communicable diseases (cardio vascular diseases, diabetes), and injuries, and negatively impact maternal and child health . While increasing attention is being directed towards reducing the burden of non-communicable illnesses such as cardio-vascular disease, cancer, diabetes and chronic respiratory disorders in low- and middle-income countries , much less has been done to provide mental health services to tackle common mental disorders [5, 6].
Low-income urban working mothers face a range of challenges in their domestic, environmental, and working conditions that may affect their mental health. In India, the second most populous country in the world, approximately 31% of the total population lives in urban areas  and almost a quarter of urban residents live in slums . To meet financial needs, the majority of women work, but they commonly have limited job choices and frequently cite heavy workload challenges . Research suggests that life stressors associated with poverty increase the risk of mental health disorders [10–12], and that women are more vulnerable than men to mental health problems such as unipolar depressive disorders, schizophrenia, unipolar affective disorders and self-inflicted injuries . While urbanization brings many social and economic opportunities for women, men, and families, the urban poor face a particularly challenging socio-physical environment, which can take a toll on their mental health [11, 13]. The suicide rate in India is among the highest in the world, at 3% of all deaths, 56% of which are amongst women . One of the largest population-based studies of mental health in India was carried out in urban South India among 26,001 participants, and recorded a 15.1% prevalence of depression in the general population. Depression was reported at higher rates amongst women (females 16.3% vs. males 13.9%) and low-income individuals (low-income group 19.3% vs. high-income group 5.9%) .
A few small-scale initiatives to provide community-based mental health services in India have been successful [16, 17], but the need for well-designed and appropriately targeted services for a range of different population groups remains great. Filling this need will require evidence on both the triggers of poor mental health and the potential mitigators. Various studies in urban India have identified risk factors for depression and suicide among people living in slums: an ethnographic study set in Mumbai slums conducted amongst a small sample of men and women found that poverty, poor living and working conditions, alcoholic husbands and intimate partner violence were factors that increased risk for depression , while another rural study identified husband’s alcohol consumption, intimate partner violence and financial difficulties as increasing risk for attempted suicide among women . A socio-cultural autopsy conducted in urban slums in Mumbai among family members of people who committed suicide identified financial stressors, marital problems, and alcohol use as common themes in suicidees’ lives . Another study conducted in urban slums in India revealed that 63.31% of the 443 participants suffered from serious mental health issues which were related to financial problems, marital conflicts, interpersonal conflicts and housing problems .
While a number of studies have considered factors associated with mental health in rural and urban settings in India, this is the first qualitative study that analyses the specific needs of low-income working mothers in urban areas in India. In this paper, we examine life stressors as well as stress mitigating factors amongst low-income working mothers in Bangalore, the fifth most populous city in India , in order to understand factors affecting mental health in this growing population, and inform strategies to address them.
Data for this analysis is drawn from a project aimed at understanding how low-income urban working mothers balance child care and work obligations within the context of family and community support, working conditions, children’s health and education, and their own health needs. Therefore, women of reproductive age were recruited for the study. This paper reports specifically on how the interplay of these factors affects mental health, assessed both qualitatively through descriptions of well-being and sadness, as well as quantitatively through the Kessler-10 scale.
Study setting and participants
Mothers of children between the ages of 0-8 years old who were currently working (and had been working for a minimum of a year) as construction workers, domestic workers, garment factory workers, or fruit/vegetable/flower street vendors were eligible to participate in the study. The four occupation groups were selected on the basis of being the most common low-income occupations amongst mothers of young children living in slums in Bangalore, and were initially identified through discussions with key informants (women’s group leaders in slums; representatives of NGOs working on labour issues, community development, women’s rights and child rights; government day care centre workers in slums; and, representatives of trade unions for low income workers). These occupations also represented a range of working conditions, such as variable work hours and multiple employers for domestic workers; daily wage labour for construction workers and some street vendors; self-employment and flexible working hours for some street vendors; and, unionization and industrial labour regulation for garment factory workers. The appropriateness of the selected occupations was validated through rapid mapping of women’s occupations and incomes on visits to 5 small/medium slums in the city. Other common women’s occupation groups that were encountered during these visits were street sweepers and incense makers. Street sweepers were not included as part of the study because the majority of street sweepers were older and did not have children between 0-8 years. Incense rollers were not included as part of the study because they worked short and flexible hours at home, and consequently did not face the same challenges balancing work and home responsibilities as other working mothers. Amongst the selected occupation groups, monthly income for a full day’s work ranged from INR4,000-INR8,000 (USD75-150).
A qualitative researcher visited multiple worksites (2 construction sites, 4 fruit and vegetable markets, 3 garment factories) and low-income residential areas (22 medium to large slums across Bangalore) to recruit study participants who would represent a range of working and living conditions. Forty-eight women (12 from each occupation group) who met the inclusion criteria were recruited.
The study protocol received ethical approval from the institutional review board of the St. John’s Medical College, Bangalore, India. The purpose and procedures of the study were verbally explained to participants, and they were advised that they could choose not to answer any of the questions or withdraw from the interview at any time. Information sheets were available to literate participants, and all participants signed or initialled an informed consent form. A small cash honorarium of a hundred Indian rupees (USD1.60) was provided to participants, as compensation for their time.
Data collection and analysis
Interviews were conducted by a qualitative researcher in the local language, Kannada, at a time and place of the participant’s choice. To maintain confidentiality, a private location was sought for the interview; however, some participants selected locations where they could continue to do their work, even if others could hear the conversation. The data was collected in 2 phases between August-November 2011 (24) and December 2011-January 2012 (24). All participants (n = 48) were administered a short closed-ended questionnaire. The closed-ended questionnaire was developed for this study to include basic indicators to assess the demographic and economic profile of the household. It included questions on participant age, marital status, participant and spouse highest education level, years of experience in current occupation, house ownership, number and age of children, monthly household income, household assets (mobile phone, bicycle, motorbike, car/auto rickshaw, television, refrigerator), and workplace benefits (Provident Fund, paid leave, maternity leave, health insurance). The participants were then interviewed with in-depth open ended questions for about an hour about their working conditions, child care and spousal support, child and maternal health and wellbeing, and family, community and other types of support available to them. Following a preliminary analysis of the first phase of interviews, more detailed questions were added in the second phase on mental health status, the relationships between work, caring for family, spousal support and mental health, the availability of emotional support, and stress mitigators. The Kessler psychological distress questionnaire was also administered to the second phase participants. This 10-item scale, validated for use in India, yields a global measure of distress based on questions about anxiety and depressive symptoms that a person has experienced in the past four weeks [21, 22]. Participants who were experiencing substantial mental distress were given the name, location and contact details of local NGOs that provided counselling and other support services for women.
After completion of data collection, all participants were assigned aliases to maintain anonymity in the reporting of results. Interviews were simultaneously translated and transcribed in English by bi-lingual research assistants. The transcripts were reviewed by the interviewer, who listened to the audio recording while reading through the transcripts to check for accurate and consistent translation. Transcripts were subsequently language edited to ensure contextual translation. The transcripts were then analysed thematically, using NVivo 9.2 qualitative data analysis software . Transcripts were coded for descriptions of state of mental health, factors that affected mental health positively or negatively, manifestations and consequences of stress and depression, and stress mitigators. Mental health concerns were qualitatively identified when respondents spoke about life events or their general state of being in terms of feelings of severe stress, anxiety, sadness and despair, uncontrollable crying, persistent frustration, feelings of worthlessness, no desire to live and suicide attempts.
The socio-economic and Kessler scale data were entered and analysed in Statistical Package for the Social Sciences v.18 . A variable was created to assess if the participants were below poverty line, based on a new methodology proposed by the Planning Commission, which takes into account residential, occupational and social vulnerability of families . Although we did not have all the information necessary to create a vulnerability score for participants, we were able to categorize families living below the poverty line based on automatic inclusion criteria related to occupation of participants and their spouses.
Socio demographic and economic characteristics
Socio-demographic and economic characteristics of the participants
Construction worker (12)
Domestic worker (12)
Factory worker (12)
Street vendor (12)
Total n = 48
Age in years (median, range)
Number of children (median, range)
Respondent higher education level
Spouse highest education level
Number of years in current occupation (median, range)
Monthly household income in INR (range)
2,800 – 11,000
2,000 – 12,000
3,000 – 10,000
2,000 – 12,000
Below poverty line
Mental health status
Out of the 24 respondents who were administered the Kessler 10 test, nearly half (11) were diagnosed as likely to have a moderate to severe mental disorder. One third (8) were likely to have a mild mental disorder, and only a fifth (5) were diagnosed as likely to be well. In the qualitative interviews with all 48 participants, about two thirds of women (32) mentioned that their mental health was not good. Less than one fifth of the participants (9) mentioned that they felt peaceful or happy with the current situation in their life. Amongst Phase 2 participants, 17 of the 21 women who spoke about their mental health concerns in interviews were found likely to have a mild to severe mental disorder as per the Kessler scale. This indicates a correspondence of over 80% between qualitative assessment and the Kessler assessment.
Symptoms and consequences of poor mental health amongst study participants, as mentioned during in-depth interviews
n = 48
Symptoms of poor mental health
Consequences of poor mental health
Inability to care properly for family
Poor performance at work or missing work altogether
Picking fights with spouse and family member
Lack of desire to interact with others
Factors contributing to mental distress
The most frequently cited factors that affected mental health negatively were an alcoholic spouse, intimate partner violence, poor working conditions, and barriers to caring for children. While most women in the study reported experiencing these factors at one time or another, long-term prevalence of mental distress appeared to be greatest amongst those facing sustained difficult circumstances such as having an alcoholic spouse, on-going intimate partner violence, the need to care for special needs children, or lack of support for providing quality routine care for children. Women who experienced passing mental health disorders were often affected by health and financial shocks caused by severe illness in children, or by a combination of stressors occurring simultaneously. Women who experienced the resolution of some or all of the stressors often perceived improvements in their mental health state.
Alcoholic spouses and intimate partner violence
More than half the women (25) in the study reported that their husbands drank alcohol regularly and heavily. Most of the women whose husbands drank regularly also reported experiencing intimate partner violence (22), which profoundly affected their mental health. Most of the respondents (5 of 7) who spoke about attempted suicide or suicidal ideation were victims of intimate partner violence. In some families, children were also victims of abuse by an alcoholic father. None of the women mentioned seeking help in dealing with an alcoholic spouse or intimate partner violence.
“My daughter was very small at that time. One night [my husband] came and beat me a lot and told me to leave the house. I went to the railway station and tried to commit suicide on the railway track. One of my relatives saw me there and took me back [home], telling me: ‘a drunkard’s words are not serious, in the morning it will be alright.’ Another time I took off my mangalsuthra (necklace symbolising marriage in Hinduism) and gave it to him, saying ‘I don’t want you,’ and went to my sister’s place. I stayed there for one week, he came to me after a week and asked for forgiveness and took me back [home]. Even last night he was drunk and fought with me till midnight. When he comes home drunk, he tells me to leave the house, sometimes he asks me to go out alone, sometimes he asks me to take my children also”. Bhavya, Construction Worker
“I feel ‘why should I be abused by him, let me die,’ but seeing my children’s faces, I think: ‘I am alive, if I die my mother-in-law might take care for some days, [what] after that? My husband will get married again, he will not take care of my children.’’ Manjulla, Domestic Worker
“I am at peace now, that’s what I feel because when my husband was around he used to fight everyday and I had no peace of mind. But for the past one month (after separating), now I am at peace”. Sruti, Street Vendor
“My husband is an alcoholic, when he drinks and comes home he uses bad words in front of the children and that has an effect on the children…. Besides that, my husband hits the children a lot or sometimes when he hits me my children start crying and they come to stop the father, but my husband does not bother and he hits the children also. I feel bad to see them getting beatings…so I sent them away to a hostel”. Mahima, Domestic Worker
Challenges providing for children’s health needs
“When my elder daughter was not feeling well, I didn’t eat for 2-3 days, I was crying the whole day and sitting on the road, while she had to come back from hospital at 3 pm. Somebody helped me by giving me a ride in their vehicle at night…..I didn’t have money, I had pledged my mother’s jewellery and taken her to the hospital, I felt very bad that time, I didn’t have money and my daughter was very serious, at that time, I felt, why should we be living?” Lalitha, Domestic Worker
“The third child had a heart problem. She was very weak, that’s why she had a problem in her growth. I really had a tough time in caring for that child. I really suffered a lot with my alcoholic husband. And, seeing my financial problems, many [people] used to suggest that I kill this baby”. (Crying). Sameena, Factory worker
“I feel bad about my condition. I have a lot of financial problems, health problems. God has given me two mentally retarded children. At least I should have had one normal boy child; that really makes me feel low, especially when I fall sick and my husband gives no support in looking after children. Instead of cleaning (the mess the children make), he calls me. So often, I feel that I have problems with my children and even with my husband. So I get angry with the children and hit them. Today morning, too, I cried thinking of my situation”.
“I was really depressed. It was 4 years ago. I was 3 months pregnant and I tried to commit suicide. I had closed the door so that no one would be able to see me hanging. Usually I don’t close the main door in the evening so my neighbours got suspicious and they came in looking of me and they broke the door. I was hanging and struggling so they came and rescued me for the second time, and my husband ran away from the city and came back after 4 months”. Roona, Domestic Worker
Challenges providing for routine child care
Amongst working mothers, routine child care concerns could also be a cause of anxiety and stress. Respondents expressed a number of concerns about their children’s well-being, including abusive childcare, children’s safety in the absence of supervised child care, financial and time constraints to providing adequate nutrition and supervision for children, and lack of physical and emotional support to care for their children.
“If we leave them with someone else, they hit and scold when they feed the children. So when I see all that, I don’t feel like leaving them there. Only a few people might take care well, not everyone. I feel bad…(about it)…being a mother”. Radhika, Domestic Worker
“I worry a lot, I’m always thinking about what she (my daughter) is doing, vehicles are moving on the street…whether she is safe, I have fear”. Aandal, Construction Worker
“Sometimes when I get really irritated I just hit the children and they cry for some time. Most of the time if I get tense, I take it out on my children”. Eeswari, Construction Worker
“Sometimes I sit alone and cry. I don’t want children or my husband…no one, I feel like running away somewhere. My husband is a big problem, if he works properly I will not have any problem. From where shall I bring money, children are growing, thinking all this I am not able to eat properly. Both are daughters. How to bring them up, I don’t have support from any one, so I worry a lot. Nobody comes and supports us. So I feel very disappointed about it”. Rajeswari, Construction Worker
“I feel shame…because I go to work and wouldn’t know how [my children] eat, there is no time, every mother ensures that their children are eating at school, but we do not have that fortune, we go to work, we have left it up to them, but I feel, that they don’t eat properly, they eat as they want…I have just left it upon God’s mercy, what to do we have difficulty. We have to work to take care of them”. Meena, Domestic Worker
The women in our study expressed how negative working conditions also affect their mental health. Domestic workers had no formal leave from work. This was a source of anxiety when women had to take long leaves because of their own or children’s health problems, and they worried about losing their job as a consequence.
“I had gone to the doctor and he gave me an injection. The next day I didn’t go to work. “For this small wound you didn’t come to work? I thought you were not feeling well. If your son is not feeling well we need to give you leave, if you daughter is not feeling well we need to give leave?” They (employers) scold”. Selvi, Domestic Worker
“They (supervisors) have scolded us. They have scolded us many times. I do make mistakes, we might have missed something and sent [the garment]. Because of that they scold us many times. We have felt bad many times, we have cried, sometimes at night we don’t get sleep. We feel so bad”. Bhanu, Factory Worker
“If I complain anything about work [the contractors] beat us..... They don’t even feel bad (about beating us)…. So we don’t tell anyone that they beat us like that.…If they get to know that I am speaking against them they will kill me. That’s why I just go, do my work and come back. We borrow money from them, so they call us whenever there is work and they take money from us. Many times we have health problems, so we take a loan”. Aleyamma, Construction Worker
“If we tell [the contractor] ‘I can’t do this work,’ [the contractors] say ‘If you cannot work, why have you come here, stay at home.’ If I am at home, how can we live our life? We have to do the work that they tell us to do”. Nisha, Construction Worker
Mitigators of stress
“In the afternoon my husband comes for lunch so he takes [our daughter] out and spends time with her so if my husband is there I need not worry at all about her”. Alaka, Street Vendor
Supportive work environment
“Just this morning, I cried thinking about my situation. For the coming festival, all children will wear good clothes but I have no money to spend for my children. I can’t give them clothes. I felt I should die and I should not live when I can’t fulfil my children’s desires. When I went for work, my employer felt bad about my situation and she gave me 700 Rupees to get new clothes for my children. She listens to my problem and acts accordingly, so I feel a little relaxed. She is more than a mother to me, whenever I am very depressed I don’t even share with my mother but I share with my employer”. Mahima, Domestic Worker
“If I come to work, everyone here talks nicely to me and I can share my feelings with them and people crack jokes and spend time in a very jolly manner so I get a feeling that if I come to work I can forget a few bad things which have happened in my life and be happy for sometime at least. If I am alone I start thinking about so many things and I get disturbed mentally, so I feel that it is good for me if I can come to work since I forget the tensions I have and involve completely with work that gives me peace of mind”. Devi, Street Vendor
“Only if I go to work I feel peaceful, if I don’t go to work I don’t feel peaceful”. Rajeshwari, Construction Worker
“If I have too many problems and I am in tension, [my colleagues] ask me ‘What is wrong with you, why you are sitting like this? Only if you share, you will feel better.’ They try to console me”. Khadija, Factory Worker
“I share with my colleagues what is happening in my family and they tell me not to worry about such things in life and console me. I keep saying that I want to die and all, so they tell me ‘you have two children, so you should not think like that.” Anjali, Factory Worker
This qualitative study raises concerns that low-income working mothers in urban areas in India are at a high risk for depression. Women who have an alcoholic and/or abusive husband, face intimate partner violence or are raising children with special needs appear to be more susceptible to severe and prolonged periods of depression and suicide attempts. At the same time, when a range of more temporal life stressors (such as illness in the family especially among children, financial problems, and lack of support from family members) strike at the same time, this could push women into spells of severe depression. Even within our small study sample, extreme consequences of depression were evident: several women spoke of instances of attempted suicide and suicidal ideation. None of the women in the study, including those who attempted suicide, mentioned seeking professional support for anxiety or depression. There were a number of mitigating factors that could help women to battle anxiety and depression, such as social and financial support from family, friends and colleagues and the distraction or fulfilment of work. Given the need to address mental health issues amongst women in India, these findings suggest potential directions for mental health interventions among low-income working mothers in urban India.
Firstly, intimate partner violence, usually associated with spouses’ alcohol consumption, was reported as one of the most frequent causes of poor mental health by this study population. The relationship between intimate partner violence and depression is widely documented at a global level. Most of the women in our study who spoke about suicidal ideation or suicidal attempts have been victims of intimate partner violence. A WHO multi-country study in other low- and middle-income countries (study did not include India) showed that intimate partner violence has a strong association with suicidal attempts in women . Another systematic review of studies conducted globally, including India found that intimate partner violence was associated with incident depressive symptoms and incident suicide attempts . Intimate partner violence has been widely documented in India [28–30], and the levels are extremely high: in a nationally representative survey, 40% of reproductive age Indian women reported having experienced intimate partner violence, with the prevalence being much higher in lower socio-economic groups . While a large number of NGOs in India have responded to the high prevalence of intimate violence with counselling services and shelters for abused women, awareness of these services remains low, and access uneven. Furthermore, providing services to victims of domestic violence is not a sufficient strategy in and of itself, without also addressing community and structural drivers such as women’s power, male identity and community norms, including family elders’ roles in condoning or instigating domestic violence [32, 33]. In our study, none of the participants mentioned seeking help to stop intimate partner violence. There remains an urgent need in India to systematise and scale up screening for intimate partner violence in health care facilities and other institutions such as workplaces, and to introduce firm linkages between identification of intimate partner violence and mental health support services . A promising intervention that has been piloted in southern India is the Dil Mil intervention study, which identifies participants through primary health clinics and aims to protect young women who are experiencing domestic violence by delivering intergenerational counselling sessions to mothers-in-law and daughters-in-law . In addition to mental health and intimate partner violence services, economic empowerment services may have a role to play. The IMAGE trial in South Africa indicated that combining microfinance based poverty alleviation program and participatory training on gender and intimate partner violence can lead to economic and social empowerment and reduced violence from intimate partners . It is unknown whether this will work in India but some research suggests that economic empowerment coupled with higher education levels is protective against partner violence .
Secondly, while routine child care concerns were a source of anxiety for mothers of healthy young children, the emotional and physical demands of caring for special needs children appeared to be associated with long-term depression and worse mental health, especially amongst mothers who received little help from their spouses. This finding is consistent with research conducted amongst low-income parents of special needs children in the United States. In industrialized countries, employer education and labour legislation have been recommended as strategies to address these issues . However, given the large proportion of women who work in the informal sector in India, an avenue that may yield greater benefits is focussing on schools for special needs children as a location for introducing and advertising ancillary support for caregivers such as counselling services, telephone help lines, and support groups for parents. Also, low cost support for parents in community settings provided by non-specialist trained community workers has shown promise as a first line of support within comprehensive “packages of care” [18, 38]. Mental health support in the community should include sharing experiences that could help to reduce parents’ feelings of social isolation [39–41], with strong linkages and referral systems to mental health professionals who could provide access to services such as cognitive behavioural therapy as well as treatment for depression where required [42, 43].
Thirdly, with declining access to extended family support, working mothers of pre-school aged children face challenges in accessing adequate child care, particularly when spouses were unsupportive. Concerns about child abuse, nutrition and safety were a source of significant anxiety for these mothers. Government policies and strategies to improve the quantity and quality of safe and affordable childcare could play a large role in supporting better health outcomes for mothers and children alike.
Lastly, our study examined the role of supportive work environment particularly in relation to psychological benefits of emotional support offered by colleagues. In India, data on the effects of work on the mental health of mothers is virtually non-existent. In our study, many of the mothers who had school-aged children spoke about the psychological benefits of their work: these included support when their employers were sympathetic and helpful, the chance not be exposed to and focus on the problems at home for some hours of the day, and, most of all, the emotional support and encouragement they received from their colleagues when they spoke about their problems, including depression and suicidal ideation. These findings suggest that, apart from economic benefits, working outside the home can promote the mental health of mothers with children who are school-age, and pre-school age when care is available.
A strength of our study is that we examined women’s perspectives on factors that have impacted their mental health across their family and work roles. Previous research in India has not detailed the role of work in women’s mental health and how this interplays with women’s family responsibilities. Our study thus provides new and potentially more holistic insights into a combination of life stressors and triggers that can challenge the psycho-social resilience of low-income working mothers in urban India, as well as coping strategies to alleviate these. Our study findings should be interpreted in light of the following limitations: the study sample was small, limited to one city, and focused on four occupations groups, which limits the generalizability of the findings. Furthermore, the cross-sectional nature of data collected limits causal inference about the factors that triggered depression in this population. Keeping these limitations in mind, the findings nevertheless suggest important areas for further investigation through quantitative surveys and longitudinal intervention studies, while also highlighting areas for programme and policy action.
India was one of the first of the low-income countries to recognize the need to address mental health with its National Mental Health Programme (NMHP) which was launched in 1982. Unfortunately, its goals remain largely unattained . One of the reasons for this is the poor linkages between different levels of care and the weak relationship between health care facilities and the communities they serve . India has now resolved to frame a mental health policy that takes into account the specific local context of mental illness . The development of this policy and subsequent implementation should draw on existing research documenting factors associated with negative mental health amongst specific population groups, in order to ensure greater effectiveness and impact. Indeed, the Millennium Development Goals to improve maternal health, reduce child mortality, promote gender equality and empower women and eradicate extreme poverty cannot be attained without a specific focus on women’s mental health .
The authors are thankful to the Shastri Indo-Canadian Institute for funding the study. We are indebted to Anita Lobo for conducting interviews with compassion and good humour. We thank all the women who participated in our study and generously shared their time and stories with us. We would also like to thank the many NGOs in Bangalore who supported our efforts, including Association for Promotion of Social Action (APSA), Association for Voluntary Action and Service (AVAS), Fedina, BOSCO and SOCHARA. We are grateful to Mr. Rajamani R. for providing us with administrative support.
- World Health Organization: The World Health Report 2001-Mental Health: New Understanding, New Hope. 2001, Geneva: WHOGoogle Scholar
- World Health Organization International Consortium in Psychiatric Epidemiology: Cross- national comparisons of the prevalence and correlates of mental disorders. Bull World Health Organ. 2000, 78: 413-425.Google Scholar
- Prince M, Patel V, Saxena S, Maj M, Maselko J, Phillips MR, Rahman A: No health without mental health. Lancet. 2007, 370: 859-877. 10.1016/S0140-6736(07)61238-0.View ArticlePubMedGoogle Scholar
- World Health Organization: Package of Essential Noncommunicable (PEN) Disease Interventions for Primary Health Care in low-Resource Settings. 2010, Geneva: WHOGoogle Scholar
- Patel V, Boyce N, Collins PY, Saxena S, Horton R: A renewed agenda for global mental health. Lancet. 2011, 378 (9801): 1441-1442. 10.1016/S0140-6736(11)61385-8.View ArticlePubMedGoogle Scholar
- Patel V: Mental health in low- and middle-income countries. Br Med Bull. 2007, 81 and 82: 81-96.View ArticleGoogle Scholar
- Registrar General and Census Commissioner: Census of India 2011. Rural Urban Distribution of Population (Provisional Population Totals). 2011, New Delhi: Government of IndiaGoogle Scholar
- Make cities liveable and safe places for millions of children. http://www.unicef.org/india/media_7541.htm.
- Kotwal N, Gupta N, Manhas S: Impact of work and environment on women living in Urban Slums of Jammu city. Stud Home Community Sci. 2008, 2 (2): 93-97.Google Scholar
- Patel V, Araya R, de Lima M, Ludermir A, Todd C: Women, poverty and common mental disorders in four restructuring societies. Soc Sci Med. 1999, 49 (11): 1461-1471. 10.1016/S0277-9536(99)00208-7.View ArticlePubMedGoogle Scholar
- Parkar SR, Fernandes J, Weiss MG: Contextualizing mental health: gendered experiences in a Mumbai slum. Anthropol Med. 2003, 10 (3): 291-308. 10.1080/1364847032000133825.View ArticlePubMedGoogle Scholar
- Patel V, Kleinman A: Poverty and common mental disorders in developing countries. Bull World Health Organ. 2003, 81 (8): 609-615.PubMedPubMed CentralGoogle Scholar
- Gruebner O, Khan MM, Lautenbach S, Muller D, Kramer A, Lakes T, Hostert P: Mental health in the slums of Dhaka - a geoepidemiological study. BMC Public Health. 2013, 12: 177.View ArticleGoogle Scholar
- Patel V, Ramasundarahettige C, Vijayakumar L, Thakur JS, Gajalakshmi V, Gururaj G, Suraweera W, Jha P: Suicide mortality in India: a nationally representative survey. Lancet. 2012, 379 (9834): 2343-2351. 10.1016/S0140-6736(12)60606-0.View ArticlePubMedPubMed CentralGoogle Scholar
- Poongothai S, Pradeepa R, Ganesan A, Mohan V: Prevalence of depression in a large urban South Indian population–the Chennai Urban Rural Epidemiology Study (CURES-70). PLoS One. 2009, 4 (9): e7185-10.1371/journal.pone.0007185.View ArticlePubMedPubMed CentralGoogle Scholar
- Balaji M, Chatterjee S, Koschorke M, Rangaswamy T, Chavan A, Dabholkar H, Dakshin L, Kumar P, John S, Thornicroft G, et al: The development of a lay health worker delivered collaborative community based intervention for people with schizophrenia in India. BMC Health Serv Res. 2012, 12: 42-10.1186/1472-6963-12-42.View ArticlePubMedPubMed CentralGoogle Scholar
- Patel V, Weiss HA, Chowdhary N, Naik S, Pednekar S, Chatterjee S, De Silva MJ, Bhat B, Araya R, King M, et al: Effectiveness of an intervention led by lay health counsellors for depressive and anxiety disorders in primary care in Goa, India (MANAS): a cluster randomised controlled trial. Lancet. 2010, 376 (9758): 2086-2095. 10.1016/S0140-6736(10)61508-5.View ArticlePubMedGoogle Scholar
- Kermode M, Herrman H, Arole R, White J, Premkumar R, Patel V: Empowerment of women and mental health promotion: a qualitative study in rural Maharashtra, India. BMC Public Health. 2007, 7: 225-10.1186/1471-2458-7-225.View ArticlePubMedPubMed CentralGoogle Scholar
- Parkar SR, Nagarsekar BB, Weiss MG: Explaining suicide: identifying common themes and diverse perspectives in an urban Mumbai slum. Soc Sci Med. 2012, 75 (11): 2037-2046. 10.1016/j.socscimed.2012.07.002.View ArticlePubMedGoogle Scholar
- Silvanus V, Subramanian P: Epidemiological study of mental morbidity in an urban slum community in India for the development of a community mental health programme. Nepal Med Coll J. 2012, 14 (1): 13-17.PubMedGoogle Scholar
- Andrews G, Slade T: Interpreting scores on the Kessler Psychological Distress Scale (K10). Aust N Z J Public Health. 2001, 25 (6): 494-497. 10.1111/j.1467-842X.2001.tb00310.x.View ArticlePubMedGoogle Scholar
- Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, Walters EE, Zaslavsky AM: Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002, 32 (6): 959-976. 10.1017/S0033291702006074.View ArticlePubMedGoogle Scholar
- NVivo qualitative data analysis software, 9.2 edition. http://www.qsrinternational.com/.
- Statistical package for the social sciences version 18.0. http://www-01.ibm.com/software/analytics/spss/.
- Commission P: Report of the Expert Group to Recommend the Detailed Methodology for Identification of Families Living Below Poverty Line in the Urban Areas. 2012, Government of India: New DelhiGoogle Scholar
- Devries K, Watts C, Yoshihama M, Kiss L, Schraiber LB, Deyessa N, Heise L, Durand J, Mbwambo J, Jansen H, et al: Violence against women is strongly associated with suicide attempts: evidence from the WHO multi-country study on women’s health and domestic violence against women. Soc Sci Med. 2011, 73 (1): 79-86. 10.1016/j.socscimed.2011.05.006.View ArticlePubMedGoogle Scholar
- Devries K, Mak JY, Bacchus LJ, Child JC, Falder G, Petzold M, Astbury J, Watts CH: Intimate partner violence and incident depressive symptoms and suicide attempts: a systematic review of longitudinal studies. PLoS Med. 2013, 10 (5): e1001439-10.1371/journal.pmed.1001439.View ArticlePubMedPubMed CentralGoogle Scholar
- Koenig MA, Stephenson R, Ahmed S, Jejeebhoy SJ, Campbell J: Individual and contextual determinants of domestic violence in North India. Am J Public Health. 2006, 96 (1): 132-138. 10.2105/AJPH.2004.050872.View ArticlePubMedPubMed CentralGoogle Scholar
- Go V, Johnson S, Bentley M, Sivaram S, Srikrishnan A, Celentano D: Crossing the threshold: engendered definitions of socially acceptable domestic violence in Chennai, India. Cult Health Sex. 2003, 5: 393-408. 10.1080/136910501164119.View ArticleGoogle Scholar
- Fernandez M: Domestic violence by extended family members in India. Interplay of gender and generation. J Interpers Violence. 1997, 12: 433-455. 10.1177/088626097012003008.View ArticleGoogle Scholar
- National Family Health Survey: National Family Health Survey (NFHS-3), 2005-06: India. Mumbai, Maharashtra: International Institute for Population Sciences (IIPS) and Macro International. 2007Google Scholar
- Jewkes R: Intimate partner violence: causes and prevention. Lancet. 2002, 359 (9315): 1423-1429. 10.1016/S0140-6736(02)08357-5.View ArticlePubMedGoogle Scholar
- Krishnan S, Subbiah K, Chandra P, Srinivasan K: Minimizing risks and monitoring safety of an antenatal care intervention to mitigate domestic violence among young Indian women: the Dil Mil trial. BMC Public Health. 2012, 12: 943-10.1186/1471-2458-12-943.View ArticlePubMedPubMed CentralGoogle Scholar
- Krishnan S, Subbiah K, Khanum S, Chandra PS, Padian NS: An intergenerational women’s empowerment intervention to mitigate domestic violence: results of a pilot study in Bengaluru, India. Violence Against Women. 2012, 18 (3): 346-370. 10.1177/1077801212442628.View ArticlePubMedGoogle Scholar
- Kim JC, Watts CH, Hargreaves JR, Ndhlovu LX, Phetla G, Morison LA, Busza J, Porter JD, Pronyk P: Understanding the impact of a microfinance-based intervention on women’s empowerment and the reduction of intimate partner violence in South Africa. Am J Public Health. 2007, 97 (10): 1794-1802. 10.2105/AJPH.2006.095521.View ArticlePubMedPubMed CentralGoogle Scholar
- Dalal K: Does economic empowerment protect women from intimate partner violence?. J Inj Violence Res. 2011, 3 (1): 35-44. 10.5249/jivr.v3i1.76.View ArticlePubMedPubMed CentralGoogle Scholar
- Loyd C, Rosman E: Exploring mental health outcomes for low-income mothers of children with special needs: implications for policy and practice. Infant Young Child. 2005, 18 (3): 186-199. 10.1097/00001163-200507000-00003.View ArticleGoogle Scholar
- Patel V, Thornicroft G: Packages of care for mental, neurological, and substance use disorders in low- and middle-income countries: PLoS medicine series. PLoS Med. 2009, 6 (10): e1000160-10.1371/journal.pmed.1000160.View ArticlePubMedPubMed CentralGoogle Scholar
- Kingsnorth S, Gall C, Beayni S, Rigby P: Parents as transition experts? Qualitative findings from a pilot parent-led peer support group. Child Care Health Dev. 2011, 37 (6): 833-840. 10.1111/j.1365-2214.2011.01294.x.View ArticlePubMedGoogle Scholar
- Law M, King S, Stewart D, King G: The perceived effects of parent-led support groups for parents of children with disabilities. Phys Occup Ther Pediatr. 2001, 21 (2–3): 29-48.PubMedGoogle Scholar
- Ainbinder JG, Blanchard LW, Singer GH, Sullivan ME, Powers LK, Marquis JG, Santelli B: A qualitative study of parent to parent support for parents of children with special needs. Consortium to evaluate parent to parent. J Pediatr Psychol. 1998, 23 (2): 99-109. 10.1093/jpepsy/23.2.99.View ArticlePubMedGoogle Scholar
- Patel V, Simon G, Chowdhary N, Kaaya S, Araya R: Packages of care for depression in low- and middle-income countries. PLoS Med. 2009, 6 (10): e1000159-10.1371/journal.pmed.1000159.View ArticlePubMedPubMed CentralGoogle Scholar
- Patel V, Araya R, Chatterjee S, Chisholm D, Cohen A, De Silva M, Hosman C, McGuire H, Rojas G, van Ommeren M: Treatment and prevention of mental disorders in low-income and middle-income countries. Lancet. 2007, 370 (9591): 991-1005. 10.1016/S0140-6736(07)61240-9.View ArticlePubMedGoogle Scholar
- Goel DS: Why mental health services in low- and middle-income countries are under-resourced, underperforming: an Indian perspective. Natl Med J India. 2011, 24 (2): 94-97.PubMedGoogle Scholar
- Patel V, Copeland J: The great push for mental health: why it matters for India. Indian J Med Res. 2011, 134: 407-409.PubMedPubMed CentralGoogle Scholar
- Dhar A: WHO Adopts India’s Resolution on Mental Health. 2012, New Delhi: The HinduGoogle Scholar
- Fisher JR, Cabral de Mello M, Izutsu T, Tran T: The Ha Noi expert statement: recognition of maternal mental health in resource-constrained settings is essential for achieving the millennium development goals. Int J Ment Health Syst. 2011, 5: 2-10.1186/1752-4458-5-2.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6874/14/22/prepub
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