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Journal of Women's Health
 
J Womens Health (Larchmt). 2009 December; 18(12): 2049–2056.
PMCID: PMC2864470

Social Ties in Relation to Health Status of Low-Income Brazilian Women

Pamela J. Surkan, Sc.D.,corresponding author1,,2 Emily M. O'Donnell, M.S.,3,,4 Lisa F. Berkman, Ph.D.,3,,4 and Karen E. Peterson, Sc.D.3,,5

Abstract

Background

Social support resources are thought to buffer stressful life events and have been associated with numerous health outcomes in industrialized countries. Because the nature of supportive relationships varies by culture and social class, we studied the relationship of informal social support and networks to self-rated health among low-income women in northeastern Brazil.

Methods

Participants included 595 randomly sampled mothers from nine low-income communities in Teresina, Piauí, Brazil. Data on sociodemographic variables, social support, quality of the partner relationship, and self-rated health were collected cross-sectionally in 2002. Using multivariable logistic regression, we modeled the association between different aspects of social support and self-rated health.

Results

Poor or fair health was reported by 47% of participants. Women with poor partner relationships had an increased likelihood of poor or fair health (OR 1.7, 95% CI 1.1-2.7), as did those with no material support for food or money (OR 1.6, 95% CI 1.2, 2.0) and no support to resolve a conflict (OR 1.5, 95% CI 1.1, 2.1). Likewise, women with the lowest scores of the Medical Outcomes Study (MOS) social support survey were more likely than other women to report poor or fair health (OR 1.5, 95% CI 1.0, 2.1).

Conclusions

Poor quality of a partner relationship, lack of support to resolve a conflict, and lack of material support as well as such sociodemographic variables as low education, poor sanitation, and depressive symptomatology are associated with lower health status in a population of low-income women from northeastern Brazil.

Introduction

Social support and networks are associated with a variety of health outcomes, including cardiovascular disease (CVD), cancer, stroke, and all-cause mortality.13 Although much of the original work in this area has focused on the elderly in industrialized countries, research on social networks and support is emerging in the developing world. In Brazil, maternal social support has been associated with child nutritional status.4,5 Other studies in Brazil have found informal social support to be negatively correlated with domestic violence6 and positively related to coping with job stress.7 Likewise, satisfaction with family relations has been associated with older women's quality of life.8

Because supportive relationships and reciprocal obligations are socially constructed and culturally defined,9 it is possible that roles and values of kinship relations vary by social class. The stress buffering hypothesis posits that social relations may be beneficial to health when an individual experiences stressful life events, for example, food and economic insecurities.10,11 However, social networks can create obligations that become a source of stress as well as providing support.1214 For women living in poverty, the costs of social relationships are often greater than their advantages.13 In contrast to women who are financially secure, it may be more difficult for poor women to extricate themselves from nonsupportive networks that are composed of friends, relatives, and neighbors who are also needy.14 Conversely, social support may be critically important for women in situations where more formal sources of support are lacking. In a Jamaican study, the association between social support and health outcomes, such as blood pressure, appeared to be modified by socioeconomic status (SES).15 As nearly a quarter of Brazilians from the northeast live on US$1.60 or less a day,16 our study, which focuses on low-income women from this region, may offer unique insights into the role of support in this segment of the population. Willingness to seek and use social support differs by culture,17 and depending on the culture, it appears that psychological distress and cortisol responses differ according to the type of support received.18 We do not know of any prior empirical studies about the relationship of social networks and women's health in northeastern Brazil, the poorest region of the country, with a distinct culture and history. Thus, we study the relationship between different kinds of informal social supports and self-rated health among women from impoverished communities in this region. We hypothesized that low levels of social support would be associated with poorer perceived health status.

Materials and Methods

Study participants were 595 randomly sampled mothers over the age of 15 with children 6–24 months old from nine low-income neighborhoods in Teresina, Piauí, Brazil. Details have been published previously.5 The nine communities corresponded to four geographic areas in Teresina that had similar household incomes and neighborhood resources. Two of the four geographic areas received services from the Programa de Saúde da Familia (Family Health Program) or were scheduled to receive the program in the near future.

To facilitate household location, we used maps of four areas drawn in AutoCAD (Autodesk, Inc., San Rafael, CA) supplied by the local sewage and water company, which were augmented by field staff as necessary. A community census consisting of approximately 8000 houses identified 1432 eligible households. With random sampling, roughly 150 homes were selected from each geographic area. Selected households were excluded if caregivers were absent from homes after the interviewer attempted five visits on different days and times.

Data collection was performed by 15 trained local female interviewers and a local study coordinator in 2002. The survey included items pertaining to household sanitation and SES/living conditions, marital status, race, educational attainment, social support, quality of partner relationship, and self-rated health. The study protocol was approved by the Human Subjects Committee at Harvard School of Public Health.

Dependent variable: Self-rated health

The dependent variable was a woman's response to the question: Would you say your health is excellent, good, fair, or poor? Consistent with previous analyses of this self-rated health measure, we categorized perceived overall health as fair or poor vs. excellent or good health (the reference category). This single question of global self-rated health is considered a robust, independent, and widely accepted measure of risk of morbidity and mortality, after controlling for other clinical or psychosocial risk factors.19 There appears to be a dose-response relationship, in which each consecutive lower rating of self-reported health corresponds to an associated increase in morbidity and mortality.19 In most studies, reporting poor health has been associated with odds ratios (ORs) for mortality ranging from 1.5 to 3.0, and it is related to a high number of doctor's visits.1921 Self-rated health has been adapted for research in less-developed countries and used in diverse populations.22,23

Independent variables: Social support and demographic characteristics

Maternal social support score was obtained from the Medical Outcomes Study (MOS) social support survey,24 which is composed of four subdomains: tangible, affectionate, positive social interaction, and emotional/informational support. The MOS survey instrument consists of 20 items and yields a continuous score ranging from 0 (no support) to 100 points (the most support). Because we were interested in how low vs. high social support was related to health status, we dichotomized this measure into the highest quintile vs. the bottom four quintiles, corresponding to high and low support, respectively. Each subscale was dichotomized similarly. For the purposes of this study, we used a version of the MOS social support survey developed in Brazil and translated to Portuguese.25 This instrument previously has demonstrated adequate validity26 and test-retest reliability.27

We also adapted a measure of social networks, designed by Adams et al.28 in a developing country setting. These survey items were translated and back-translated by fully bilingual Brazilian Portuguese and U.S. English native speakers. Discrepancies were reviewed by the principal investigator, by a local medical anthropologist, and by health professionals in Teresina, and the instruments were pilot tested in the community to assure they were appropriate for the culture and low literacy needs of the target population. This instrument contained four questions reflecting material, practical, relationship, and emotional support, respectively: Who helps you (and your husband) when you don't have money or need food or milk? When you are very busy, sick, or not at home, who helps you with household tasks—to clean, to care for the children, or cook? Who helps you when you have problems with your husband/children/friends/in-laws? For example, if you have a fight with someone? Who are the people closest to you who give you emotional support with whom you can express your worries/joys, to talk about personal things, to whom you can tell secrets?’ To measure social networks, for each question, we counted the people women listed as available for help. A sensitivity analysis determined our cutoff points, and response categories for the material, practical, and relationship support questions were coded dichotomously as 0 or 1 or more people available. Emotional support responses were coded 1 or 2 or more because no mothers reported having no one for this type of support.

Conventional cutoffs or response distributions were used to code demographic variables. These variables included marital status (yes/no), presence of Family Health Program (yes/no), race (white vs. black or mixed race), and mother's education (0–3, 4–8, and 9–12 years). The MacArthur Relationship Questionnaire, adapted from the MacArthur Studies of Successful Aging,29 was used to evaluate the woman's relationship with her partner. Women were only asked to answer the questions on the MacArthur Relationship Scale if they responded affirmatively that they were married or were in a relationship with a partner. Therefore the 89 women for whom we do not have data were not women who refused or dropped out but rather those who were not asked to participate in this section of the questionnaire. Responses were recorded on six questions in a Likert format (never, rarely, sometimes, frequently, or always). The adapted questions were (1) How often does your (husband/companion) make you feel loved and cared for? (2) How often do you feel your (husband/companion) makes too many demands on you? (3) How often is your (husband/companion) willing to listen when you need to talk about your worries or problems? (4) How often is he critical of what you do? (5) How often can you count on your spouse to help with daily tasks like taking care of the house, taking care of the children, or helping you with household chores? (6) How often does your spouse give you advice or information about medical, financial, or family problems? Responses to these questions were averaged to create a scale ranging from 1 to 5. We created a dichotomous variable representing low and high relationship scores (<4 vs. ≥4).

The sanitation scale was a continuous variable. It included five items dichotomized as yes or no: use of a water filter, presence of garbage collection, presence of a sewage system or toilet with water but not connected to the sewage system, presence of a running water source in the house or yard, and possession of a refrigerator. Possession of all items resulted in a score of 5 and corresponded to high sanitation. Unanswered scale items resulted in 13 cases missing. A composite measure including SES and questions about living conditions was also created and modeled as a continuous variable. The scale included household income (3, ≥ $R360; 2, $R180–<$R360; 1, $R90–<$R180; 0, $R0–<$R90) (the minimum wage was $R180 per month), with an exchange rate of approximately 2.5 Reals to the U.S. dollar; possession of electricity, a fan, a radio, or a television in the home (2, having all four; 1, having three; 0, having 0–2); type of house wall (2, brick; 1, finished mud house; 0, unfinished mud or plastic); type of house floor (2, ceramic, cement or a combination of cement and ceramic; 1, cement or both; 0, mud floor); and type of roof (1, brick or concrete; 0, thatched, paper, or plastic). A score of 10 represented high SES/living conditions, and 0 represented poor conditions.

The Center for Epidemiologic Studies of Depression Scale (CES-D)30 was used as a measure of depressive symptomatology during the last week. The CES-D is a 20-item scale that is scored from 0 to 60. In our analysis, CES-D score was dichotomized with ≥16 corresponding to depressive symptomatology. After rigorous translation, back-translation, and field testing, it demonstrated a Cronbach's alpha coefficient of 0.82 in our sample.

Statistical analysis

Using SAS (Statistical Analyzing System, version 9.1, SAS Institute, Cary, NC), we examined the relationship of each independent variable to the outcome in a series of bivariate analyses. We conducted chi-square tests of association between categorical demographic and social support variables and self-rated health.

Demographic covariates included in the base multivariable models were maternal race and other indicators of social class, including educational attainment and household sanitation and SES/living conditions scales. Marital status was not used in our multivariable models, as it was not significantly associated with poor or fair self-rated health status in biviariate analyses. Because we were concerned that depressive symptoms may influence reports of both social support variables and self-rated health, we constructed models while both adjusting and not adjusting for depressive symptoms.

Social support measures were added separately into base multivariable models in order to examine if these factors were associated with self-rated health. Using proc genmod in SAS, multivariable logistic regression models also included interviewer as a random effect.

Results

Of the 732 families randomly selected, 613 participated. The final sample was limited to 595 households in which mothers were primary caregivers. Of the 119 households selected that did not participate, 67 families had left the neighborhood, and 45 could not be found or were out of town or the child or primary caregiver was not present at home after five repeated visits. There were only 6 refusals and 1 mother who could not concentrate on the survey. One participating mother did not answer the question about self-rated health, leaving our effective sample size at 594. Because only women who were currently in a partner relationship answered the McArthur Relationship Questionnaire, analyses that included this variable were restricted to 506 women.

The proportion of women reporting poor or fair self-related health was 47%. There were no significant racial differences in self-rated health (48% of black/mixed race women and 41% of white women, respectively, p = 0.36). Low educational attainment was related to poor/fair self-rated health (p = 0.05). Fifty-one percent of mothers with the lowest health ratings also had low partner relationship scores compared with 38% whose scores corresponded to a more positive relationship (p < 0.01). Similarly, roughly half of women scoring in the lowest four quintiles of social support reported poor/fair health compared with a lower proportion of women (range 36%–42%) scoring in the top quintile (overall, p < 0.01; tangible, p = 0.04; affective, p = 0.14, positive social interaction, p < 0.001; emotional/informational, p = 0.04). Finally, 54% of all women with high depressive symptoms reported poor/fair health compared with 38% of women with low depressive symptoms (p < 0.01) (Table 1).

Table 1.
Association of Demographic and Psychosocial Variables with Women's Poor or Fair Self-Rated Health

Analyses adjusted for depressive symptoms

In multivariate analyses controlling for depressive symptoms (Table 2), women reporting poor partner relationships had approximately a 70% higher odds of reporting poor/fair health (OR 1.7, 95% CI 1.1-2.7). Women with no sources of material support for food or money had approximately 60% higher odds of reporting poor/fair self-rated health compared with women with more material support (OR 1.6, 95% CI 1.2-2.0). Similarly, mothers who reported no support to resolve conflict exhibited approximately 50% higher odds of reporting poor/fair health compared with women with at least one person available for this support (OR 1.5, 95% CI 1.1-2.1). On the MOS social support scale, women scoring in the lowest four quintiles had 50% higher odds of reporting poor/fair health compared with those within the highest quintile (OR 1.5, 95% CI 1.0-2.1). Among MOS subdomains, women reporting low levels of tangible support and positive social interaction displayed approximately 40% and 60% higher odds of reporting poor/fair health than women in the highest quintiles of these scales, respectively (OR 1.4, 95% CI 1.1, 1.9; OR 1.6, 95% CI 1.1, 2.2, respectively) (data not shown). Women with a high CES-D score (≥16) had around a 2-fold increased odds (range OR 1.9–2.1, p < 0.0001) of poor/fair self-rated health for all models that included the social support variables separately (Table 2).

Table 2.
Odds Ratios (95% CI) for Associations between Demographic and Psychosocial Variables with Women's Poor/Fair Self-Rated Health

Analyses unadjusted for depressive symptoms

In multivariate analyses that did not control for depressive symptoms (data not shown), a poor partner relationship (OR 1.8, 95% CI 1.1-3.0), no material support for food or money (OR 1.4, 95% CI 1.1-1.8), and low support to resolve a conflict (OR 1.4, 95% CI 1.0, 1.8) were associated with increased odds of poor/fair self-rated health. Mothers in the lowest four quintiles of the MOS social support summary measure exhibited approximately 70% higher odds of reporting poor/fair health than mothers in the top quintile (OR 1.7, 95% CI 1.1, 2.4). Mothers with the lowest scores on each of the MOS subdomains—tangible support (OR 1.5, 95% CI 1.1-2.0), affectionate support (OR 1.3, 95% CI 1.0-1.8), positive social interaction (OR 1.7, 95% CI 1.2-2.4), and emotional support (OR 1.4, 95% CI 0.9-2.3)—had higher odds of poor/fair self-rated health than those scoring in the lowest four quintiles.

Discussion

Consistent with our hypotheses that low levels of social support would be associated with poorer perceived health status, we found that a less positive relationship with one's spouse or partner was significantly associated with poor or fair self-rated health, both with and without controlling for maternal depressive symptoms. A partner relationship, such as a marriage, may confer health-related benefits.2,31 It has been hypothesized that such relationships may provide nurturing conditions and socialization through a spouse32 as well as buffering stressful life events.11 Some speculate that particularly in low resource settings, women benefit more from the financial resources associated with marriage than the social support that it offers.32 A study of elderly people in southern Brazil showed that family income was important for self-rated health only in women and individual income was more important for men, which appeared to be explained by the fact that some women were financially dependent.33 Findings from Sweden suggested that poor self-rated health was associated with domestic inequity and martial dissatisfaction among employed adult females.34

Ethnographic work from northeastern Brazil highlights that sharing economic resources is a morally binding expectation of a married man or a man who has sexual relations with a woman and is considered a demonstration of love.35 For women lacking resources, having a sexual relationship with a man creates an avenue for building a network with the man's family, specifically his female relatives.36 This implies that a partner relationship may impact women's health status through a number of pathways, possibly including access to material resources and other social support.

Similarly, we found that having no one available to help resolve a conflict was significantly associated with poor/fair self-rated health in models both controlling and not controlling for depressive symptoms. We are unaware of previous research that has examined this particular relationship, but research from Brazil shows intimate partner violence is related to low levels of social support,6 self-reported health, and women's morbidity.37 We speculate that some mothers in the current study who lacked network connections to obtain support to resolve a conflict may have experienced abuse from an intimate partner, which could contribute to poor or fair self-rated health status.

Our data also indicate an association between a woman's lack of social networks to provide material support for food or money and poor or fair self-rated health (regardless of adjustment for maternal depressive symptoms). This is consistent with existing literature from Europe indicating that self-perceived financial hardship and SES more generally are associated with low levels of self-rated health.3841

A higher MOS overall score, reflecting all support domains, was inversely related to poor or fair self-rated health, both when controlling and not controlling for depressive symptoms. This association may be driven by the MOS subdomains that were most strongly and significantly associated with poor or fair self-rated health, that is, low levels of positive social interaction and tangible support. In a recent Brazilian intervention study, elder people shared their memories with youth during 4 months of social activities. Adolescents who did not receive support through these group interactions reported significantly poorer health status than those in the intervention group.42

Inconsistent with our findings, previous research indicates a relationship between emotional support and self-rated health. In Syria, Asfar et al.43 found that social support, defined as having someone to share happiness and sorrow with, served as a strong predictor of high self-rated health for women. In a study of self-rated health in 22 European countries, emotional support, in particular, was a significant predictor of self-rated health for women in 11 European countries, but estimates were unrelated or did not reach statistical significance in the other 11.44 Emotional support has been found to be associated with self-rated health for both sexes in the United States.45 This suggests that the importance of emotional support may be culturally dependent.

Female gender, low education, and poverty have been associated with mental disorders in northeastern Brazil and several low and middle income countries.46,47 The fact that our sample has many of these characteristics may explain the high prevalence (almost 50%) of depressive symptoms we observed. An association between depressive symptoms and low self-rated health as well as morbidity, such as substance disorders and medical conditions, is well documented.4850 Molarius and Janson,50 using a Swedish cohort found overall eight times higher odds of poor or very poor self-rated health in respondents who indicated they suffered from depression. Our findings relating depressive symptoms to self-rated health are consistent with other prior research.5153 A strength of this study is that it investigates social support in a population of young and middle aged low-income Brazilian women. Our study provides an in-depth evaluation of different types of support that may be important in this context. The main limitation of our study is its cross-sectional design, prohibiting us from evaluating causality. The study may not be generalizable to men. Although self-rated health is well established as an indicator of health status, more research is needed to determine to what extent our results are relevant to specific kinds of morbidity and to mortality in this context.

Conclusions

Our study from northeastern Brazil indicates that low social support and networks may be associated with suboptimal self-rated health in a low-income setting. Poor or fair self-rated health was related to a woman having a poor quality relationship with her partner, having no one available to offer material support for food or money, and having no one available for support to resolve a conflict. In multivariable models both including and excluding maternal depressive symptoms, the overall MOS support score and the tangible support and positive social interaction subdomains were also associated with self-rated health. Our findings are consistent with prior evidence of a strong relationship between social support and mental health conditions, such as depressive symptoms.10 Social support, particularly regarding the quality of a partner relationship, may be relevant to the health of low-income women in similar settings to that in northeastern Brazil.

Acknowledgments

We extend our appreciation to participating families, field coordinator, interviewers, census workers, and data entry personnel. Data collection was supported by a Sheldon Fellowship through the Committee on General Scholarships at Harvard University. Manuscript elaboration was supported by National Institutes of Health grant 5 T32 MH073122-04.

Disclosure Statement

The authors have no conflicts of interest to report.

References

1. Kawachi I. Colditz GA. Ascherio A, et al. A prospective study of social networks in relation to total mortality and cardiovascular disease in men in the USA. J Epidemiol Community Health. 1996;50:245–251. [PMC free article] [PubMed]
2. Kawachi I. Berkman LF. New York: Oxford University Press; 2000. Social epidemiology.
3. Hemingway H. Marmot M. Evidence based cardiology: Psychosocial factors in the aetiology and prognosis of coronary heart disease. Systematic review of prospective cohort studies. BMJ. 1999;318:1460–1467. [PMC free article] [PubMed]
4. Carvalhaes MA. Benicio MH. Malnutrition in the second year of life and psychosocial care: A case-control study in an urban area of Southeast Brazil. Cad Saude Publica. 2006;22:2311–2318. [PubMed]
5. Surkan PJ. Ryan LM. Carvalho Vieira LM. Berkman LF. Peterson KE. Maternal social and pyschological conditions and physical growth in low-income children in Piaui, Northeast Brazil. Soc Sci Med. 2007;64:375–388. [PubMed]
6. Moraes CL. Reichenheim ME. Domestic violence during pregnancy in Rio de Janeiro, Brazil. Int J Gynaecol Obstet. 2002;79:269–277. [PubMed]
7. Bianchi ER. Stress and coping among cardiovascular nurses: A survey in Brazil. Issues Ment Health Nurs. 2004;25:737–745. [PubMed]
8. de Moraes JF. de Azevedo e Souza VB. Factors associated with the successful aging of the socially active elderly in the metropolitan region of Porto Alegre. Rev Bras Psiquiatr. 2005;27:302–308. [PubMed]
9. Dressler WW. Balieiro MC. Dos Santos JE. The cultural construction of social support in Brazil: Associations with health outcomes. Cult Med Psychiatry. 1997;21:303–335. [PubMed]
10. Kawachi I. Berkman LF. Social ties and mental health. J Urban Health. 2001;78:458–467. [PubMed]
11. Cohen S. New York: Oxford University Press; 2000. Social support measurement and intervention: A guide for health and social scientists.
12. Edin K. Lein L. Making ends meet: How single mothers survive welfare and low-wage work. New York: Russell Sage Foundation; 1997. Survival strategies; pp. 143–191.
13. Belle D. The impact of poverty on social networks and supports. Marriage Fam Rev. 1983;5:89–103.
14. Belle D. Social ties and social support. In: Belle D, editor. Lives in stress: Women and depression. Beverly Hills, CA: Sage; 1982.
15. Dressler WW. Grell GA. Gallagher PN Jr. Viteri FE. Social factors mediating social class differences in blood pressure in a Jamaican community. Soc Sci Med. 1992;35:1233–1244. [PubMed]
17. Kim HS. Sherman DK. Taylor SE. Culture and social support. Am Psychol. 2008;63:518–526. [PubMed]
18. Taylor SE. Welch WT. Kim HS. Sherman DK. Cultural differences in the impact of social support on psychological and biological stress responses. Psychol Sci. 2007;18:831–837. [PubMed]
19. Idler EL. Benyamini Y. Self-rated health and mortality: A review of twenty-seven community studies. J Health Soc Behav. 1997;38:21–37. [PubMed]
20. Idler EL. Angel RJ. Self-rated health and mortality in the NHANES-I epidemiologic follow-up study. Am J Public Health. 1990;80:446–452. [PubMed]
21. McGee DL. Liao Y. Cao G. Cooper RS. Self-reported health status and mortality in a multiethnic US cohort. Am J Epidemiol. 1999;149:41–46. [PubMed]
22. Khawaja M. Mowafi M. Types of cultural capital and self-rated health among disadvantaged women in outer Beirut, Lebanon. Scand J Public Health. 2007;35:475–480. [PMC free article] [PubMed]
23. Szwarcwald CL. Souza-Junior PR. Esteves MA. Damacena GN. Viacava F. Sociodemographic determinants of self-rated health in Brazil. Cad Saude Publica. 2005;(21 Suppl):54–64. [PubMed]
24. Sherbourne CD. Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32:705–714. [PubMed]
25. Chor D. Griep RH. Lopes CS. Faerstein E. Social network and social support measures from the Pro-Saude Study: Pre-tests and pilot study. Cad Saude Publica. 2001;17:887–896. [PubMed]
26. Griep RH. Chor D. Faerstein E. Werneck GL. Lopes CS. Construct validity of the Medical Outcomes Study's social support scale adapted to Portuguese in the Pro-Saude Study. Cad Saude Publica. 2005;21:703–714. [PubMed]
27. Griep RH. Chor D. Faerstein E. Lopes C. Social support: Scale test-retest reliability in the Pro-Health Study. Cad Saude Publica. 2003;19:625–634. [PubMed]
28. Adams AM. Madhavan S. Simon D. Women's social networks and child survival in Mali. Soc Sci Med. 2002;54:165–178. [PubMed]
29. Seeman TE. Lusignolo TM. Albert M. Berkman L. Social relationships, social support and patterns of cognitive aging in healthy, high functioning older adults. McArthur Studies of Successful Aging. Health Psychol. 2001;20:243–255. [PubMed]
30. Radloff LS. The CES-D scale: A self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401.
31. Rahman O. Excess mortality for the unmarried in rural Bangladesh. Int J Epidemiol. 1993;22:445–456. [PubMed]
32. Sudha S. Suchindran C. Mutran EJ. Rajan SI. Sarma PS. Marital status, family ties, and self-rated health among elders in South India. J Cross Cult Gerontol. 2006;21:103–120. [PubMed]
33. Bos AM. The socio-economic determinants of older people's health in Brazil: The importance of marital status and income. Ageing Society. 2007;27:385–405.
34. Staland-Nyman C. Alexanderson K. Hensing G. Associations between strain in domestic work and self-rated health: A study of employed women in Sweden. Scand J Public Health. 2008;36:21–27. [PubMed]
35. Rebhun LA. For love and for money: Romance in urbanizing Northeast Brazil. City Society. 1999;11:145–164.
36. Rebhun LA. Changing issues in heterosexual unions in Northeast Brazil. Rethinking relationships: Advancing Interdisciplinary Scholarship on Non-marital Unions in a Global Context Symposium. Family Formation, Child Well-being and Structural Inequalities. Brown University, Providence, RI, April 19, 2007.
37. Ellsberg M. Jansen HA. Heise L. Watts CH. Garcia-Moreno C. Intimate partner violence and women's physical and mental health in the WHO multi-country study on women's health and domestic violence: An observational study. Lancet. 2008;371:1165–1172. [PubMed]
38. Balabanova DC. McKee M. Self-reported health in Bulgaria: Levels and determinants. Scand J Public Health. 2002;30:306–312. [PubMed]
39. Alves LC. Rodrigues RN. Determinants of self-rated health among elderly persons in Sao Paulo, Brazil. Rev Panam Salud Publica. 2005;17:333–341. [PubMed]
40. Ahmad K. Jafar TH. Chaturvedi N. Self-rated health in Pakistan: Results of a national health survey. BMC Public Health. 2005;5:51. [PMC free article] [PubMed]
41. Olivius G. Ostergren PO. Hanson BS. Lyttkens CH. Parental economic stress: Evidence of an overlooked public health risk among Swedish families. Eur J Public Health. 2004;14:354–360. [PubMed]
42. de Souza EM. Grundy E. Intergenerational interaction, social capital and health: Results from a randomised controlled trial in Brazil. Soc Sci Med. 2007;65:1397–1409. [PubMed]
43. Asfar T. Ahmad B. Rastam S. Mulloli TP. Ward KD. Maziak W. Self-rated health and its determinants among adults in Syria: A model from the Middle East. BMC Public Health. 2007;7:177. [PMC free article] [PubMed]
44. von dem Knesebeck O. Geyer S. Emotional support, education and self-rated health in 22 European countries. BMC Public Health. 2007;7:272. [PMC free article] [PubMed]
45. Gorman BK. Sivaganesan A. The role of social support and integration for understanding socioeconomic disparities in self-rated health and hypertension. Soc Sci Med. 2007;65:958–975. [PubMed]
46. 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;49:1461–1471. [PubMed]
47. Ludermir AB. Lewis G. Links between social class and common mental disorders in Northeast Brazil. Soc Psychiatry Psychiatr Epidemiol. 2001;36:101–107. [PubMed]
48. Davis L. Uezato A. Newell JM. Frazier E. Major depression and comorbid substance use disorders. Curr Opin Psychiatry. 2008;21:14–18. [PubMed]
49. Benton T. Staab J. Evans DL. Medical co-morbidity in depressive disorders. Ann Clin Psychiatry. 2007;19:289–303. [PubMed]
50. Molarius A. Janson S. Self-rated health, chronic diseases, and symptoms among middle-aged and elderly men and women. J Clin Epidemiol. 2002;55:364–370. [PubMed]
51. Rohrer JE. Bernard ME. Zhang Y. Rasmussen NH. Woroncow H. Marital status, feeling depressed and self-rated health in rural female primary care patients. J Eval Clin Pract. 2008;14:214–217. [PubMed]
52. Damian J. Pastor-Barriuso R. Valderrama-Gama E. Factors associated with self-rated health in older people living in institutions. BMC Geriatr. 2008;8:5. [PMC free article] [PubMed]
53. Mulsant BH. Ganguli M. Seaberg EC. The relationship between self-rated health and depressive symptoms in an epidemiological sample of community-dwelling older adults. J Am Geriatr Soc. 1997;45:954–958. [PubMed]

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