The relationship of living arrangements and depressive symptoms among older adults in sub-Saharan Africa
© McKinnon et al.; licensee BioMed Central Ltd. 2013
Received: 15 November 2012
Accepted: 23 July 2013
Published: 25 July 2013
Older adults in sub-Saharan Africa are increasingly facing the twin challenges of reduced support from their adult children and taking on new roles caring for orphans and vulnerable children. How these changes affect the mental health of older adults is largely unknown.
We use data from the 2002–2003 World Health Surveys for 15 countries in sub-Saharan Africa to examine whether older adults who may be lacking adequate support through living alone or in skipped-generation households are at an increased risk of depressive symptoms compared to those living with at least one working-age adult. Using meta-regression, we also examine whether heterogeneity across countries in the prevalence of depressive symptoms or in the association between living arrangements and depressive symptoms is associated with HIV/AIDS prevalence and national economic status.
The pooled prevalence of depressive symptoms among older adults was 9.2%. Older adults living alone had a 2.3% point higher predicted prevalence of depressive symptoms compared to individuals living with at least one working-age adult (95% confidence interval: 0.2%, 4.4%). None of the country characteristics examined explained heterogeneity across countries in the relationship between living arrangements and depressive symptoms. However, there was some evidence suggesting a positive association between depressive symptom prevalence and the severity of a country’s HIV/AIDS epidemic.
As depressive symptoms are known to be predictive of poor quality of life and increased mortality, it is important to address how health and social policies can be put in place to mitigate the potentially detrimental effects of solitary living on the mental health of older persons in sub-Saharan Africa.
KeywordsOlder adults Mental health Living arrangements Sub-Saharan Africa
In sub-Saharan Africa, families have traditionally been the primary source of care and support for older people, with the majority of older adults residing with adult children and their families . These intergenerational living arrangements stem from strong cultural traditions of intergenerational reciprocity, as well as a near nonexistence of old age pension programs and other forms of social assistance that enable older people to live more independently [1–3]. Although the majority of older Africans continue to rely on younger family members for material and social support, there is growing evidence that traditional caring and support mechanisms are under increasing strain throughout the region [4, 5]. Some evidence points to a weakening of traditional values resulting from the effects of development, modernization and increased educational opportunities for younger generations, while other research suggests that increasing poverty and economic hardship has left younger adults increasingly unable to provide adequate support for elders . Furthermore, there is growing evidence that increased mortality of working-age adults from the HIV/AIDS epidemic is weakening the support networks of older people and leading to an increasing proportion of older adults living alone and in ‘skipped-generation’ households—households with an older adult and a young child in the absence of a working-age adult [7–9]. A recent study found that more than 20% of adults over the age of 60 were living in skipped-generation households in Lesotho, Rwanda, Uganda, and Malawi .
Depression is one of the most common medical conditions among older people and is a major public health concern in both high- and low-income countries. Depression and depressive symptoms among older adults are predictive of functional impairment, poor quality of life, increased use of health services, and increased mortality [11–15]. Common risk factors for depression among older adults include: low socioeconomic status, lack of social support, poor health, and being female . There has been limited research in African settings on the determinants of depression or depressive symptoms among older adults. One of the only community-based studies, the Ibadan Study of Ageing in Nigeria, found a 12-month prevalence of major depressive disorder of 7.1% (95% CI: 5.9-8.3%) among people aged 65 and older . In this study, women and individuals residing in urban areas had higher odds of depression. Depressed older people also had impaired quality of life and greater difficulty functioning at home and in social roles.
Research across many different societies has found that older people who live alone or are socially isolated are more likely to suffer from depressive symptoms [11–15]. Much less is known about the relationship between skipped-generation living arrangements and depression or depressive symptoms among older adults. There is evidence from China that older adults living with grandchildren in skipped-generation households were less likely to suffer from depressive symptoms compared with those living in single-generation households . However, in the Chinese setting it is common for older adults to receive remittances from absent adult children in order to support themselves and their grandchildren. In settings where mortality due to HIV/AIDS is a substantial cause of skipped generation households, older people may be less likely to receive material support to care for themselves and dependent grandchildren. In this context, it is not known whether living with grandchildren would confer the same mental health benefits for older adults.
Using data from 15 sub-Saharan African countries, we examined whether older Africans who may be lacking adequate support as a consequence of living alone or in skipped-generation households report more depressive symptoms compared to those living in households with at least one working-age adult. We also examine whether the associations between living arrangements and depressive symptoms differ across countries, and whether this heterogeneity can be explained by country-level factors, such the severity of the HIV/AIDS epidemic and country economic status.
We used data from the World Health Surveys (WHS), access to which was granted through a grant from the Canadian Institutes for Health Research (#191612). The WHS is a large cross-sectional study conducted in 70 high-, middle-, and low-income countries in 2002–2003. The surveys were designed to provide cross-nationally comparable assessments of socio-demographics, adult and child morbidity and mortality, risk factors, health care expenditures, and coverage of health interventions. Comprehensive information about the WHS can be found on their website (http://www.who.int/healthinfo/survey/en/). The World Health Surveys were approved by the World Health Organization’s ethical review process and cleared by ethics review committees in each country. Informed consent was obtained from all survey respondents . For this study, we restricted our analyses to individuals aged 50 years and over living in the 15 continental sub-Saharan Africa countries that participated in the WHS: Burkina Faso, Chad, Congo, Cote d’Ivoire, Ethiopia, Ghana, Kenya, Malawi, Mali, Namibia, Senegal, South Africa, Swaziland, Zambia, and Zimbabwe. For these countries, the WHS consisted of face-to-face interviews of individuals living in private households. The age of 50 years has been considered an appropriate cut-off for studying older people in sub-Saharan Africa, as life expectancy is relatively low in the region and individuals normally become grandparents by that age [19, 20]. We had a total sample size of 12,647 with country sample sizes ranging from 425 in Congo to 1166 in Mali. Samples are nationally representative for all countries except Congo and Côte d’Ivoire, where the survey was carried out in limited geographical areas due to civil unrest at the time.
Our outcome is depressive symptoms reported in the past 12 months, which was defined as a dichotomous variable based on the responses to five questions taken from the World Mental Health Survey (WMH) version of the Composite International Diagnostic Interview (CIDI) . This simplified version of the full CIDI was specifically designed to be applicable in cross-cultural settings and has been validated across several different populations and countries . The specific symptoms asked about were: 1) Have you had a period lasting several days when you felt sad, empty or depressed? 2) Have you had a period lasting several days when you lost interest in most things you usually enjoy such as hobbies, personal relationships or work? 3) Have you had a period lasting several days when you have been feeling your energy decreased or that you are tired all the time? We considered an individual to have experienced depressive symptoms in the past 12 months if they met three criteria: 1) Responded yes to at least two of three symptoms; 2) The period of sadness/loss of interest/low energy was present for more than two weeks; and 3) During the period of sadness/loss of interest/low energy, symptoms were present most of the day, nearly every day. This measure of depressive symptoms includes hallmark depressive symptoms, considers important duration and frequency criteria, and has been previously used in a large multi-country study covering all world regions .
Older adult living arrangements were grouped into three types: 1) Single-generation household: older person living in a household without any individuals under the age of 50 years; 2) Skipped-generation household: older person living in a household with a child age 17 years or younger in the absence of an adult aged 18–49 years; and 3) Multigenerational household: older person living in a household with at least one adult aged 18–49 years. This information was obtained from the household rosters portion of the WHS household survey. Individuals present in the household roster included everyone currently living at the household address. The roster included each household member’s age, level of education, and marital status. No distinction with respect to the specific biological relationships of the household members to the older person were made since an exclusive focus on the parent/child bond when considering the living arrangements of older people is inappropriate in developing country contexts where strong community and extended family relations exist .
We examined several variables as potential confounders of the relationship between living arrangements and depressive symptoms. Socio-demographic variables included: age, gender, marital status (married/cohabitating vs. divorced/widowed/single), urban/rural residence, education level (no education vs. some education), and socioeconomic status (SES). As in other low-income settings, SES was estimated using an asset-based index . To estimate the index we used the approach developed by Ferguson et al. , which uses household ownership of assets (e.g., a bicycle, a radio), access to services (e.g., electricity, drinking water), and known predictors of income (e.g., age, education) to estimate a latent indicator of permanent household income. This measure of permanent income has been validated against reported household income and expenditures using household survey data from Greece, Peru, Indonesia, Nepal, and Pakistan [24, 25]. Finally, we created a dichotomous variable indicating whether an individual had ever been diagnosed with at least one of the following chronic physical health conditions: asthma, arthritis, angina, and diabetes.
We examined three country-level variables: HIV/AIDS prevalence rate, gross national income per capita (GNIpc), and maternal mortality rate (MMR). We hypothesized that older people living alone and in skipped generation households in countries with a greater burden of HIV/AIDS may be especially vulnerable to depressive symptoms because of the greater likelihood they may have reduced levels of material support for themselves and dependent children. HIV/AIDS prevalence rates for each country’s population age 15–49 were obtained from public reports produced by UNAIDS for the year 2002 . Across 17 high- and low- and middle-income countries, GDPpc was shown to be positively correlated with the lifetime risk of a mood disorder . As such, we also examined GNIpc in 2002 (in 2005 purchasing power parity adjusted international dollars), obtained from the World Bank’s 2005 World Development Indicators (WDI) report for all countries except Zimbabwe (which we excluded from this part of the analysis) . Finally, MMR is the number of deaths of women from pregnancy-related causes per 100,000 live births and was also obtained from WDI. We use MMR as a proxy for the general quality of a country's health system . Although mental health care across sub-Saharan Africa is in general severely under-resourced and under-prioritized, countries with more established health systems may provide somewhat better services for mental health conditions [5, 29].
We first assessed the relationship between living arrangements and depressive symptoms using separate logistic regression models for each country, adjusted for age, gender, marital status, urban/rural residence, education level, and wealth index. To facilitate interpretation for all models and to assess differences on the absolute probability scale, we reported average marginal effects calculated from the logistic coefficients . For example, the marginal effect for skipped-generation living arrangement is interpreted as the estimated effect on the predicted prevalence of depressive symptoms of living in a skipped-generation household compared to living in a multi-generational household, averaged over the values of the other covariates in the model. To obtain an overall effect estimate and because the country-specific estimates lack precision due to small sample sizes, we pooled the country-specific estimates across the 15 countries using random-effects meta-analysis . This approach estimates an overall effect by computing a weighted average of the country-specific estimates. In using random-effects meta-analysis, we assume our sample of countries represents a potentially random sample of all countries in sub-Saharan Africa and does not assume there is a common, homogeneous effect of exposure . We measured heterogeneity in the magnitude of the effect estimates using the I 2 statistic, which quantifies the percent of variation in the effect that is due to heterogeneity between countries rather than sampling variability. We consider an I 2 value below 50% to be low, 50-75% moderate, and ≥75% high .
We then used random-effects meta-regression to assess whether heterogeneity between countries in the predicted prevalence of depressive symptoms was related to country-level variables (HIV prevalence, log(GNIpc), MMR), where the meta-regression estimates were weighted by the inverse of the standard errors of the prevalence estimates, thus placing greater weight on estimates with greater precision . Using the same method, we also examined whether heterogeneity in the estimated marginal effects of the living arrangement variables on the predicted prevalence of depressive symptoms were related to country-level variables. The meta-regression is conducted at the country-level, regressing the country-specific effect estimates on the country-level predictor variables. These meta-regression analyses were weighted by the inverse of the standard errors of the marginal effect estimates. Sampling weights were incorporated into all models (except for Congo and Cote d’Ivoire where individuals were equally weighted).
Missing responses for the three main depressive symptom variables ranged from 5.8-6.4% across countries and approximately 11% of responses were missing for the frequency of depressive symptoms. To account for missing data we performed multiple imputation using the mi impute chained procedure in Stata 12, which uses an iterative multivariable regression procedure to generate distributions for each variable with missing data that are conditional on all other variables in the imputation models . All variables with missing data that were used in the analyses were imputed and a total of 10 imputed datasets were generated. Estimates from the imputed datasets were combined using Stata’s mi estimate commands, which account for variation in estimates and standard errors across imputed datasets [33, 34].
Descriptive characteristics, WHS 2002-03
% Skipped generation household
% Single generation household
% No education
% Chronic diseasea
Random-effects meta-regression estimates
Meta-regression of country variables on the predicted prevalence of depressive symptoms
Meta-regression of country variables on the effect of single-generation living arrangement on the predicted prevalence of depressive symptoms
Coefficient (95% CI)
Coefficient (95% CI)
HIV prevalence (%)
0.20 (−0.07, 0.50)
−0.21 (−0.65, 0.22)
−0.47 (−3.79, 2.85)
0.03 (−4.59, 4.66)
Maternal mortality ratiob
0.52 (−0.13, 1.16)
0.07 (−0.71, 0.86)
The primary aim of this study was to assess whether older adults living in single- or skipped-generation households had an increased prevalence of depressive symptoms compared to those living with at least one working-age adult. Controlling for individual-level covariates, we found evidence that older adults living in single-generation households had a 2.3 percentage point higher prevalence of depressive symptoms than those living with at least one working-age adult. This corroborates evidence from many other populations that older people who live alone are more likely to suffer from symptoms of loneliness and depression [1, 14, 15]. We did not detect a significant increase in depressive symptoms among older Africans living in skipped-generation households compared to those in multi-generational households. Well-established risk factors for depression among older adults, including being female, having a chronic disease, and having low SES, were also identified as risk factors for depressive symptoms in our study .
Our results are consistent with previous studies in low-income settings that have reported that living with children compared to living alone offers some protection from depressive symptoms, even in the absence of working-age adults [14, 15]. One study from rural China found that older adults living in skipped- compared to three-generation households had higher scores on a depression scale; however, older adults in single- compared to skipped-generation households were almost twice as likely to have depressive symptomatology . Findings of the Chinese study were primarily explained by the higher remittances received by older people in skipped generation households from their absent adult children, who had most often migrated to urban areas for work. Unfortunately, in our study we were unable to determine the orphan status of children in skipped-generation households or whether the households were receiving material support from absent adult children.
We also attempted to explain whether differences across countries in both the prevalence of depressive symptoms and the magnitude of the associations between living arrangements and depressive symptoms were related to country-level indicators of health and economic status. Although there was substantial heterogeneity across countries in the prevalence of depressive symptoms, the country-level variables did not explain much of this heterogeneity. There was some evidence that older adults in countries with higher rates of HIV/AIDS and maternal mortality might experience a higher prevalence of depressive symptoms, but the effects were generally weak and imprecisely estimated. With more countries or larger sample sizes we may well have had the precision to detect important effects for some of the country variables. Differences across countries in the estimated associations between living arrangements and depressive symptoms were more the result of sampling variability than any inherent heterogeneity potentially explainable by country-level variables. It is therefore unsurprising that none of the country variables explained the heterogeneity. Nevertheless, it is possible that our study missed certain country-level factors that may also have been important to consider. For example, countries with universal old age pension programs may provide better economic security that could help mitigate the detrimental effects of solitary or skipped-generation living arrangements on the depressive symptoms of older adults. In this study, we were unable to examine this variable since only South Africa and Namibia had pension programs at the time of the WHS. However, as several other countries have developed programs over the past decade, we think this is an interesting and policy-relevant question for future research.
Several limitations need to be considered in interpreting our results. First, the WHS was a large survey designed to collect information on individual health and health system interactions. Assessing mental health outcomes was not a main focus of the WHS. Thus, our measure of depressive symptoms was restricted to the seven questions available in the WHS, which, although taken from a previously validated depression scale, has not itself been validated. Nevertheless, our measure includes hallmark depressive symptoms, considers important duration and frequency criteria, and was used previously in at least one highly-cited study . There are also some limitations of our exposure measure. According to our living arrangement definitions, a household where an older person is caring for a sick adult child would have been classified as multi-generational, although the older person may be less likely to receive the material and instrumental support that would presumably make a multi-generational living arrangement more protective against depressive symptoms. We also did not have information on whether the older person had experienced the death of an adult child or another traumatic event that may have affected their responses at the time of the survey. Data that can directly address the older person’s support systems and traumatic life events will be important in further research investigating the impact of living arrangements on the health of older persons. Finally, our analysis is based on cross-sectional data and, as a consequence there is ambiguity regarding the temporal relationship between living arrangements and depressive symptoms. This issue of reverse causality has been shown to lead to underestimation of the protective effects of coresidence with an adult child on depressive symptoms among older widowed women in South Korea .
Although the proportion of older people sub-Saharan Africa is still relatively small compared to other world regions, this is expected to double from 5% to 10% between 2010 and 2050, a relative increase greater than any other global region . This intensifies concerns surrounding the health and welfare of the growing number of older people living alone and in skipped-generation households. In this study, we provide evidence that older people living in single-generation households report a higher prevalence of depressive symptoms compared to those living with at least one working-age adult. As depressive symptoms are known to be predictive of poor quality of life and increased morbidity and mortality, it is important to identify population groups that may be especially vulnerable. Work remains to be done to further our understanding of the complex relationship between living arrangements, support systems, and depressive symptoms and understand what policies can be put in place to mitigate the potential detrimental effects of solitary living on the mental health of older persons in sub-Saharan Africa.
We thank the Institute for Health Metrics and Evaluation (http://www.healthmetricsandevaluation.org) for providing us with the estimates of permanent income that were used in these analyses. This work was supported by the Canadian Institutes for Health Research (CIHR) (191612). Britt McKinnon was supported by a studentship from the CIHR Interdisciplinary Capacity Enhanced Team Grant (#HOA-80072). Sam Harper was supported by a Chercheur-boursier Junior 1 from the Fonds de la Recherche en Sante du Quebec (FRSQ).
- UNPD: Living Arrangements of Older Persons Around the World. 2005, New York: United Nations Department of Economic and Social Affairs/Population DivisionGoogle Scholar
- Aboderin I: Intergenerational family support and old age economic security in Ghana. Living Longer: ageing, development and social protection. Edited by: Lloyd-Sherlock P. 2004, New York: United Nations Research Institute for Social Development, 210-229.Google Scholar
- Williams A: Ageing and Poverty in Africa: Ugandan Livelihoods in a Time of HIV/AIDS. 2003, Hampshire: Ashgate PublishingGoogle Scholar
- Hidaka BH: Depression as a disease of modernity: Explanations for increasing prevalence. J Affect Disord. 2012, 140: 205-214. 10.1016/j.jad.2011.12.036.View ArticlePubMedPubMed CentralGoogle Scholar
- National Research Council: Aging in Sub-Saharan Africa: Recommendations for Furthering Research. Panel on Policy Research and Data Needs to Meet the Challenge of Aging in Africa. 2006, Washington DC: The National Academies PressGoogle Scholar
- Aboderin I: Decline in material family support for older people in urban Ghana, Africa: Understanding processes and causes of change. J Gerontology: B-Psychol. 2004, 59: S128-10.1093/geronb/59.3.S128.View ArticleGoogle Scholar
- Cheng S-T, Siankam B: The impacts of the HIV/AIDS pandemic and socioeconomic development on the living arrangements of older persons in sub-Saharan Africa: a country-level analysis. Am J Community Psychol. 2009, 44: 136-147. 10.1007/s10464-009-9243-y.View ArticlePubMedGoogle Scholar
- Hosegood V, Timaeus IM: The impact of adult mortality on the living arrangements of older people in rural South Africa. Ageing and Society. 2005, 25: 431-444. 10.1017/S0144686X0500365X.View ArticleGoogle Scholar
- Kautz T, Bendavid E, Bhattacharya J, Miller G: AIDS and declining support for dependent elderly people in Africa: retrospective analysis using demographic and health surveys. BMJ. 2010, 340: c2841-10.1136/bmj.c2841.View ArticlePubMedPubMed CentralGoogle Scholar
- Zimmer Z: Household Composition Among Elders in Sub‒Saharan Africa in the Context of HIV/AIDS. J Marriage Fam. 2009, 71: 1086-1099. 10.1111/j.1741-3737.2009.00654.x.View ArticleGoogle Scholar
- Cole MG, Dendukuri N: Risk factors for depression among elderly community subjects: a systematic review and meta-analysis. Am J Psychiatry. 2003, 160: 1147-1156. 10.1176/appi.ajp.160.6.1147.View ArticlePubMedGoogle Scholar
- Chan A, Malhotra C, Malhotra R, Ostbye T: Living arrangements, social networks and depressive symptoms among older men and women in Singapore. Int J Geriatr Psychiatry. 2011, 26: 630-639. 10.1002/gps.2574.View ArticlePubMedGoogle Scholar
- Clausen T, Wilson A, Molebatsi R, Holmbow-Ottensen G: Diminished mental- and physical function and lack of social support are associated with shorter survival in community dwelling older persons of Botswana. BMC Publ Health. 2007, 7: 144-10.1186/1471-2458-7-144.View ArticleGoogle Scholar
- Sicotte M, Alvarado BE, León E-M, Zunzunegui M-V: Social networks and depressive symptoms among elderly women and men in Havana, Cuba. Aging Ment Health. 2008, 12: 193-201. 10.1080/13607860701616358.View ArticlePubMedGoogle Scholar
- Silverstein M, Cong Z, Li S: Intergenerational transfers and living arrangements of older people in rural China: Consequences for psychological well-being. J Gerontol. 2006, 61B: S256-S266.View ArticleGoogle Scholar
- Blazer DG: Depression in Late Life: Review and Commentary. J Gerontology: Med Sci. 2003, 58: 249-265.View ArticleGoogle Scholar
- Gureje O, Kola L, Afolabi E: Epidemiology of major depressive disorder in elderly Nigerians in the Ibadan Study of Ageing: a community-based survey. Lancet. 2007, 370: 957-964. 10.1016/S0140-6736(07)61446-9.View ArticlePubMedPubMed CentralGoogle Scholar
- Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B: Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007, 370: 851-858. 10.1016/S0140-6736(07)61415-9.View ArticlePubMedGoogle Scholar
- McIntyre D: Health policy and older people in Africa. Living Longer: ageing, development and social protection. Edited by: Lloyd-Sherlock P. 2005, New York: United Nations Research Institute for Social Development, 160-183.Google Scholar
- Ssengonzi R: The impact of HIV/AIDS on the living arrangements and well-being of elderly caregivers in rural Uganda. AIDS Care. 2009, 21: 309-314. 10.1080/09540120802183461.View ArticlePubMedGoogle Scholar
- Kessler R, Abelson J, Demler O, Escobar J, Gibbon M, Guyer M, Howes M, Jin R, Vega W, Walters E: Clinical calibration of DSM-IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMH-CIDI). Int J Methods Psychiatr Res. 2004, 13: 122-139. 10.1002/mpr.169.View ArticlePubMedGoogle Scholar
- Wittchen HU: Reliability and validity studies of the WHO–Composite International Diagnostic Interview (CIDI): a critical review. J Psychiatr Res. 1994, 28: 57-84. 10.1016/0022-3956(94)90036-1.View ArticlePubMedGoogle Scholar
- De Vos S: Research note: revisiting the classification of household composition among elderly people. J Cross Cult Gerontol. 2003, 18: 229-245.View ArticlePubMedGoogle Scholar
- Filmer D, Pritchett L: Estimating Wealth Effects Without Expenditure Data–Or Tears: An Application to Educational Enrollments in States of India. Demography. 2001, 38: 115-132.PubMedGoogle Scholar
- Ferguson B, Tandon A, Gakidou E, Murray C, Evans D: Estimating permanent income using indicator variables. Health systems performance assessment: debates, methods and empiricism. 2003, Geneva: World Health Organization, 747-760.Google Scholar
- UNAIDS: Report on the Global HIV/AIDS Epidemic. 2003, Geneva, Switzerland: Joint United Nations Programme on HIV/AIDS (UNAIDS), 1-229.Google Scholar
- WorldBank: World Development Indicators. 2005, Washington, DC: The World Bank, 1-432.Google Scholar
- AbouZahr C, Wardlaw T: Maternal mortality at the end of a decade: signs of progress?. Bull World Health Organ. 2001, 79: 561-568.PubMedPubMed CentralGoogle Scholar
- WHO: Mental Health Systems in Selected Low- and Middle-Income Countries: a WHO-AIMS Cross-National Analysis. 2009, Geneva, Switzerland: World Health Organization, 1-108.Google Scholar
- Kleinman LC, Norton EC: What's the Risk? A simple approach for estimating adjusted risk measures from nonlinear models including logistic regression. Health Serv Res. 2009, 44: 288-302. 10.1111/j.1475-6773.2008.00900.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Sterne J: Meta-Analysis in Stata: an Updated Collection From the Stata Journal. 2009, College Station, Texas: Stata Press, 1Google Scholar
- Higgins JPT: Measuring inconsistency in meta-analyses. BMJ. 2003, 327: 557-560. 10.1136/bmj.327.7414.557.View ArticlePubMedPubMed CentralGoogle Scholar
- StataCorp: Multiple-Imputation Reference Manual. College Station. 2011, Texas: Stata PressGoogle Scholar
- Rubin D: Multiple Imputation for Nonresponse in Surveys. 1987, New York: WileyView ArticleGoogle Scholar
- Do YK, Malhotra C: The effect of coresidence with an adult child on depressive symptoms among older widowed women in South Korea: an instrumental variables estimation. J Gerontology B-Psychol. 2012, 67: 384-391.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/13/682/prepub
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