Investigating the Relationship between Food Insecurity and Fertility Preferences in Tanzania.

OBJECTIVE: We analyze fertility preferences among women at risk of pregnancy with children ages five or younger as a function of two food security metrics: perceptions of household hunger and child stunting (height for age z scores ≤ -2.0) in order to convey a robust picture of food insecurity. METHODS: We use data from the 2016 Tanzania Demographic and Health Surveys to analyze this research question. Multinomial generalized logit models with cluster-adjusted standard errors are used to determine the association between different dimensions of food insecurity and individual-level fertility preferences. RESULTS: On average, women who experience household hunger are 19% less likely to want more children compared to women who do not experience household hunger (AOR: 0.81, p = 0.02) when controlling for education, residence, maternal age, number of living children, and survey month. Adjusting for the same covariates, having at least one child ≤ 5 years old who is stunted is associated with 13% reduced odds of wanting more children compared to having no children stunted (AOR: 0.87, p = 0.06). CONCLUSIONS FOR PRACTICE: In the context of a divided literature base, this research aligns with the previous work identifying a preference among women to delay or avoid pregnancy during times of food insecurity. The similarity in magnitude and direction of the association between food insecurity and fertility preferences across the two measures of food insecurity suggest a potential association between lived or perceived resource insecurity and fertility aspirations. Further research is needed in order to establish a mechanism through which food insecurity affects fertility preferences. SIGNIFICANCE STATEMENT: Individual fertility preferences are sensitive to dynamic multi-level factors in a woman's life. While qualitative research has explored the effect that food insecurity and associated resource constraints have on fertility preferences, results are conflicting. Here, we quantitatively examine how individual woman's fertility preferences associate with two measures of food insecurity and qualitatively compare the associations across food insecurity measures. We establish that two food insecurity measures- household hunger and child stunting- capture similar populations and have similar associations with fertility preferences. This is a critical step forward in understanding the dynamic relationship between resource availability, child well-being, and fertility preferences.

Embodiment, agency, unmet need: Young women's experiences in the use and non-use of contraception in Khayelitsha, South Africa.

Globally, high rates of unintended pregnancy occur despite widespread distribution of modern contraceptive methods, reflecting the complexity of individual contraceptive use. The concept of unmet need provides a framework for addressing the gap between women's desire to prevent pregnancy and the ability of health services to meet women's contraceptive needs. Through in-depth interviews in Khayelitsha, South Africa, we examine 14 young women's experiences with contraception, interrogating how and why reproductive intentions and outcomes often differ markedly. Three main themes were identified and explored. First, unintended pregnancies were common in our sample, despite high knowledge about contraceptive options and availability of multiple methods. Second, women's contraceptive preferences are strongly shaped by concerns with side effects and other embodied experiences, leading to pivotal moments of method-switching or cessation of contraceptive use. Third, using contraception provides participants with the potential for purposeful and self-directed action. These enactments of agency though, occur within intimate and familial relationships, where gendered expectations of the participants' choices ultimately shape both method preference and use. These findings demonstrate the need for an understanding of women's lives and narratives as the basis for understanding complex health behaviours such as contraceptive use.

Longitudinal Qualitative Methods in Health Behavior and Nursing Research: Assumptions, Design, Analysis and Lessons Learned.

Longitudinal qualitative research (LQR) is an emerging methodology in health behavior and nursing research. Researchers are turning to LQR to understand experiences across time as well as identify facilitators and inhibitors of health/illness behaviors and transitions. Currently, a lack of information exists to guide researchers on LQR techniques and considerations. Our objective was to provide a methodological resource for health behavior and nursing researchers conducting LQR. LQR may be applied to understand any human experience, as well as the sequalae of the experience and is well suited for studying transitions and developmental or behavioral changes. Conducting LQR is resource intensive and requires flexibility and complex analyses. We discuss multiple components of LQR such as design considerations, analysis options, and our lessons learned. Despite complexities, LQR provides the opportunity to understand experiences across time within an individual and among a group resulting in holistic, in-depth understandings beyond a cross-sectional time point.

Perinatal depression among mothers in a South African birth cohort study: Trajectories from pregnancy to 18 months postpartum.

BACKGROUND: Perinatal depression affects 21-50% of women in South Africa and poses significant health risks to mothers and children. Trajectories of depressive symptoms change over time and have not been well characterized during the perinatal period in low and middle-income countries. METHODS: Data from women enrolled in a population-based birth cohort study in Paarl, South Africa with at least 3 depression measures from pregnancy through 18 months postpartum (N = 831) were analyzed. Depressive symptoms were measured continuously using the Edinburgh Postnatal Depression Scale (EPDS). Group-based trajectory models were used to estimate trajectories of depressive symptoms during the perinatal period and multinomial multivariable models to identify predictors of trajectory group membership. RESULTS: Five distinct trajectory patterns of depressive symptoms were identified: moderate levels of depressive symptoms during pregnancy but minimal postpartum (3.5%), minimal levels during pregnancy and increasing postpartum (3.7%), unstable levels peaking at 12 months postpartum (6.6%), mild levels with slight decrease postpartum (82.9%), and severe levels during pregnancy and postpartum (3.1%). Membership in the chronic severe symptom group was associated with stressful life events, sexual intimate partner violence and tobacco use. LIMITATIONS: Modeling limitations prevented determining how changes in psychosocial predictors over time may influence depressive symptom trajectories. CONCLUSIONS: Mild to severe depressive symptoms during pregnancy/postpartum were common among this South African cohort. Interventions to treat women with severe chronic depressive symptoms with co-occurring psychosocial issues are urgently needed.