Depressive symptoms mediate the relationship between sustained food insecurity and cognition: a causal mediation analysis.

PURPOSE: This study aimed to investigate the association of change in food insecurity over time with cognitive function in midlife, and whether depressive symptoms mediated that relationship. METHODS: We used longitudinal data from the Coronary Artery Risk Development in Young Adults study. Change in food insecurity in 2000-2005 was coded as "persistently food-secure," "persistently food-insecure," "became food-insecure," and "became food-secure." Depressive symptoms were measured in 2010, and cognitive function was measured in 2015. Multivariable linear regression controlled for sociodemographic and cardiovascular health factors was used. We also conducted causal mediation analysis. RESULTS: Our study population included 2448 participants (57.23% female and 43.18% Black, mean age = 40.31 in 2000). Compared with persistent food security, persistently and became food-insecure were associated with worse cognition, particularly with processing speed (ßpersistent = -0.20 standard unit, 95% CI = -0.36, -0.04; ßbecame = -0.17, 95% CI = -0.31, -0.03), and these associations appeared mediated by depressive symptoms (proportion-mediated = 14% for persistently food-insecure and 18% for became food-insecure). CONCLUSIONS: Persistent and transition to food insecurity were associated with worse cognition, both directly and indirectly through increasing depressive symptoms. Targeting food insecurity or depressive symptoms among persistently or became food-insecure individuals may have the potential to slow premature cognitive aging.

Prevalence estimates of trafficking in persons using statistical definitions: a cross-sectional high-risk community survey in Cape Town, South Africa.

OBJECTIVES: Current research on trafficking in persons (TIP) relies heavily on legal and prosecutorial definitions. A public health approach has called for population-level assessment; however, identification of TIP victims lacks a standardised operational definition. This study applied the Prevalence Reduction Innovation Forum (PRIF) statistical definitions, developed by the US Department of State, to a community survey in Cape Town, South Africa. DESIGNS: A high-risk sampling strategy was used. TIP screening questions from two instruments were matched with PRIF domain indicators to generate prevalence estimates. Sensitivity, specificity and receiver operating characteristics analyses were conducted to assess the performance of the two screeners. SETTING: Cross-sectional survey conducted in Cape Town, South Africa, from January to October 2021. PARTICIPANTS: South Africans and immigrants from other nations residing in Cape Town and its surrounding areas, aged 18 or older, who met the study inclusion criteria for a set of experiences that were identified as TIP risk factors. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome measures were PRIF lifetime and past 12-month TIP positivity. Secondary outcome measures included individual and summary measures from the two screeners. RESULTS: Our PRIF algorithm yielded a TIP lifetime prevalence rate of 17.0% and past 12-month rate of 2.9%. Summary measures from each TIP screener showed an excellent range of predictive utility. The summary screener measures yielded statistically significant differences among some demographic and background categories. Several screener items were shown less predictive of the PRIF statistical definition criteria than others. CONCLUSIONS: Prevalence estimates of probable TIP were higher than those reported elsewhere. Our TIP screeners yielded an excellent range of predictive utility for the statistical definitions, promising the potential for wider applications in global and regional TIP research and policymaking. A more systematic sampling strategy is needed even if statistical definitions become widely used.