RESUMEN
Background: Exposure to multiple risk factors is prevalent in low-and middle-income countries (LMICs), challenging one-directional strategies to address preventable under-5 mortality (U5M). This study aims to assess the associations between concurrence of multiple risk factors and U5M in LMICs. Methods: We extracted data from the Demographic and Health Surveys conducted between 2010 and 2021 across 61 LMICs. Our primary outcome was U5M, defined as deaths from birth to 59 months. Binary logistic regression model was applied to ascertain the association between U5M and a total of 20 critical risk factors. Upon identifying the risk factors demonstrating the strongest associations, we investigated the simultaneous presence of multiple risk factors in each individual and assessed their combined effects on U5M with logistic regression models. Findings: Of the 604,372 under-5 children, 18,166 (3.0%) died at the time of the survey. Unsatisfied family planning needs was the strongest risk factor for U5M (odds ratio [OR]: 2.0, 95% confidence interval [CI]: 1.9-2.1), followed by short birth interval (<18 months; OR: 2.0, 95% CI: 1.9-2.1), small birth size (OR: 2.0, 95% CI: 1.8-2.1), never breastfed or delayed breastfeeding (OR: 2.0, 95% CI: 1.9-2.0), and low maternal education (OR: 1.6, 95% CI: 1.4-1.8). 66.7% (66.6%-66.8%) of the children had 2 or more leading risk factors simultaneously. Simultaneous presence of multiple leading risk factors was significantly associated with elevated risk of U5M and children presenting with all 5 leading risk factors exhibited an exceedingly high risk of U5M (OR: 5.2, 95% CI: 4.3-6.3); a dose-response relationship between the number of risk factors and U5M was also observed-with the increment of numbers of leading risk factors, the U5M showed an increasing trend (p-trend < 0.001). Interpretation: Exposure to multiple risk factors is very common in LMICs and underscores the necessity of developing multisectoral and integrated approaches to accelerate progress in reducing U5M in line with the SDG 3.2. Funding: This research is funded by Research Fund, Vanke School of Public Health, Tsinghua University.
RESUMEN
OBJECTIVE: The aim of this study was to compare data on both alcohol use and alcohol-related consequences between intensive longitudinal data collection and the retrospective Timeline Followback (TLFB) interview. METHOD: Heavy drinking college students (n = 96; 52% women) completed daily reports across a 28-day period to assess alcohol use and positive and negative consequences of drinking. They returned to the lab at the end of this period to complete a TLFB assessing behavior over those same 28 days. First, t tests were used to compare variables aggregated across the full 28 days at the between-person level. Next, hierarchical linear modeling was used to examine within-person differences between methods for each variable in weekly and daily increments. RESULTS: Many alcohol use and consequence variables were significantly different when derived from self-reports during TLFB versus daily reports. In contrast to prior work, we found that higher estimates of drinking were reported retrospectively on the TLFB than on the daily reports. In addition, discrepancies were greater on some variables for heavier drinkers and when more time had elapsed between the end of the daily reporting period and TLFB collection. CONCLUSIONS: Recall of drinking behavior during TLFB and daily reports may differ in systematic ways, with discrepancies varying based on participant and methodological characteristics.