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Social Determinants of Postpartum Depression

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Presentation on theme: "Social Determinants of Postpartum Depression"— Presentation transcript:

1 Social Determinants of Postpartum Depression
A Mixed Method Multilevel Theory Building Study

2 Background and Aims It is increasingly recognised that major adult public health issues, related to development, behaviour and lifestyle have their origins during pregnancy, infancy and early childhood. The aim of this study is to utilise mixed methodology to build a conceptual framework, theory and model describing the mechanisms by which multilevel factors influence the developmental and life course outcomes with a focus on perinatal depression.

3 Methodology and Methods
We used a critical realist approach to social epidemiology theory building. Emergent methods included: key informant interviews, focus groups, thematic analysis, conceptual mapping, situational analysis, factor analysis, logistic, linear, and Bayesian spatial and multilevel regression studies. Explanatory theory building utilised abductive Inference to the Best Explanation.

4 Critical Realist Theory Building

5 Mixed Method Design

6

7 Study One: Overview of Literature
Peri-natal adversity impacts on child development and life-course outcomes Biological Programming Permanent alteration of phenotype Stress impact on HPA axis Accumulation of risk Attachment patterns and emotional deprivation Breast feeding and cognitive attainment Childhood SES shapes adult disease risk

8 Study One: Overview of Literature
Peri-natal Depression – Quant studies Prevalence percent Past history of depression Low social position (SES) Less partner support Hx of family psychopathology Lack of social support Stress

9 Study One: Overview of Literature
Impact of depression Foetal sequelae of cortisol crossing placenta Preterm labour Foetal Development affected Infant temperament affected Insecure attachment Breastfeeding Shaken baby

10 Study Two: Qualitative Individual Level
Three focus groups plus practitioners Coding, concept mapping, situational analysis Support and nurturing of mothers Support networks and mothers groups Access to services “Loss of control” “Expectations Lost” Conflicting advice

11 Study Two: Qualitative Individual Level
Isolation “not belonging” Stress Marginalisation Social position and Class “Being Broke”

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13 Study Two: Qualitative Individual Level
Expectations and Dreams Marginalisation and “being alone” Loss of Power and Control Support and Nurturing

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17 Study Three: Quantitative Individual Level
Cross sectional study SWS 2-3 weeks postpartum N=15, 389 mothers 64 item survey Exploratory Data Analysis Non-linear PCA (CatPCA) Binary Logistic Regression Exploratory CFA

18 Study Three: Quantitative Individual Level

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20 Study Three: Quantitative Individual Level

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22 Study Four: Qualitative Group Level
Three focus groups plus practitioners Coding, concept mapping, situational analysis Community level social networks Social capital “Depressed Community” Access to services Big Business Social Policy Ethnic segregation

23 Study Four: Qualitative Group Level

24 Study Four: Qualitative Group Level

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26 Study Five: Quantitative Group Level
101 suburbs 46 ecological variables 26 selected after EDA and EFA Six latent variables identified in EFA Ecological linear regression Spatial Bayesian linear regression Spatial Bayesian Multilevel Logistic Regression

27 Study Five: Quantitative Group Level
Six latent variables were called: Disadvantaged Communities Social Cohesion Health Behaviours Housing Quality Access to Services Support Networks – Social Capital

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29 Study Five: Quantitative Group Level - Ecological
Final linear and spatial models agreed: No Support Ethnic Diversity No Regret Leaving But ?compositional effect

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31 Study Five: Quantitative Group Level - Multilevel

32 Study Five: Quantitative Group Level - Multilevel

33 Study Five: Quantitative Group Level - Multilevel

34 Study Five: Quantitative Group Level - Multilevel
Migrant mothers only where no group level support lack of group level support was protective Group No social support was protective in the southern suburbs of Blairmount, Claymore, Rosemeadow, Airds and St Helen’s Park Group Social support was detrimental in West Hoxton, Panania etc.

35 Study Five: Quantitative Group Level – Factor 6
1 2 3 4 5 6 SCHOOL YEAR 8 OR LESS % -.567 -.406 NOT SUPPORT % -.679 NO PRACTICAL SUPPORT % -.589 DENSITY -.452 -.493 DIFFERENT ADDRESS 5 YEARS .349 .395 MALY INDEX .308

36 Study Five: Quantitative Group Level – Factor 6
poor schooling no support no practical support density -ve different address -ve Maly index (low diversity) ? Weak Social Capital Opposite is Strong Social Capital

37 Factor Six is Positive in North and Claymore
Factor Six is Negative in South Weak social capital is protective to migrant mothers Social capital is detrimental to migrant mothers

38 Study Five: Quantitative Group Level
Migrant mothers only Factor Six – weak social capital – is protective Why: Strong community “bonding” social capital excludes minorities

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40 Building a Theory

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43 Conclusion Drawing on the call for theory building approaches to social epidemiology I have utilised critical realism and a mixed method design to construct an explanatory theory of maternal depression and context. The study will contribute to the increasing role that both realism and mixed methods are playing in explaining the social distribution and social determinants of health.

44 Conclusion The study found accumulating evidence that maternal stress, during and after pregnancy, is a cause of maternal depression and altered developmental trajectory of her infant. The focus of this study has been on the social context that initiates or conditions maternal stress. Global, economic, social and cultural mechanisms were identified that explain maternal stress and depression within family and neighbourhood contexts. There is a complex intertwining of historical, spatial, cultural, material and relational elements that contribute to the experiences of loss and nurturing.

45 Conclusion Emerging is the centrality of expectation lost as a possible trigger of stress and depression not only for mothers but also others who have their dreams shattered during life’s transitions. In these situations social and cultural context can either nurture and support or marginalise and isolate. The challenge for policy and practice is to support mothers and their partners during the transition to parenthood within a challenging global-economic context.


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