Browsing by Author "Bhattarai, Asmita"

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    Association between childhood adversities and premature and potentially avoidable mortality in adulthood: a population-based study
    (2023-10-18) Bhattarai, Asmita; Dimitropoulos, Gina; Bulloch, Andrew G.; Tough, Suzanne C.; Patten, Scott B.
    Abstract Background The association of childhood adversities with mortality has rarely been explored, and even less studied is the question of whether any excess mortality may be potentially preventable. This study examined the association between specific childhood adversities and premature and potentially avoidable mortality (PPAM) in adulthood in a representative sample of the general population. Also, we examined whether the associations were potentially mediated by various adult socioeconomic, psychosocial, and behavioral factors. Methods The study used data from the National Population Health Survey (NPHS-1994) linked to the Canadian Vital Statistics Database (CVSD 1994–2014) available from Statistics Canada. The NPHS interview retrospectively assessed childhood exposure to prolonged hospitalization, parental divorce, prolonged parental unemployment, prolonged trauma, parental problematic substance use, physical abuse, and being sent away from home for doing something wrong. An existing definition of PPAM, consisting of causes of death considered preventable or treatable before age 75, was used. Competing cause survival models were used to examine the associations of specific childhood adversities with PPAM in adulthood among respondents aged 18 to 74 years (rounded n = 11,035). Results During the 20-year follow-up, 5.4% of the sample died prematurely of a cause that was considered potentially avoidable. Childhood adversities had a differential effect on mortality. Physical abuse (age-adjusted sub-hazard ratio; SHR 1.44; 95% CI 1.03, 2.00) and being sent away from home (age-adjusted SHR 2.26; 95% CI 1.43,3.57) were significantly associated with PPAM. The associations were attenuated when adjusted for adulthood factors, namely smoking, poor perceived health, depression, low perceived social support, and low income, consistent with possible mediating effects. Other adversities under study were not associated with PPAM. Conclusion The findings imply that the psychological sequelae of childhood physical abuse and being sent away from home and subsequent uptake of adverse health behavior may lead to increased risk of potentially avoidable mortality. The potential mediators identified offer directions for future research to perform causal mediation analyses with suitable data and identify interventions aimed at preventing premature mortality due to potentially avoidable causes. Other forms of adversities, mostly related to household dysfunction, may not be determinants of the distal health outcome of mortality.
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    Breastfeeding practices within the first six months of age in mid-western and eastern regions of Nepal: a health facility-based cross-sectional study
    (2020-01-30) Dharel, Dinesh; Dhungana, Ranjan; Basnet, Sushma; Gautam, Swotantra; Dhungana, Animesh; Dudani, Rajesh; Bhattarai, Asmita
    Abstract Background The World Health Organization recommends initiation of breastfeeding within 1 hour of birth and exclusive breastfeeding up to 6 months of age. Infant feeding practices, including suboptimal breastfeeding practices, are associated with stunting. Rate of stunting was highest in the Mid-western region and lowest in the Eastern region of Nepal. This study aimed to assess the breastfeeding practices in these two regions, as well as to identify factors associated with partial breastfeeding. Methods We conducted a health facility-based cross-sectional study in the Mid-western and Eastern regions of Nepal from December 2017 to May 2018. Investigators administered a pre-tested questionnaire among consecutive 574 mother-infant dyads at different levels of health facilities. We dichotomized the breastfeeding pattern to partial breastfeeding and full (exclusive or predominant) breastfeeding. We conducted multivariable logistic regression to identify factors associated with partial breastfeeding within 6 months of age. Results There were 574 infants included in the study, all of which received at least some breastfeeding. Only 23.2% of infants were exclusively breastfed until 6 months, with 28.2% predominantly breastfed and 48.6% partially breastfed. Partial breastfeeding rate was 52.3% in the Mid-western region and 44.4% in the Eastern region. Breastfeeding was initiated within an hour from birth in 67.2% of infants. One-quarter of infants were given pre-lacteal feed, honey being the commonest. Knowledge of the recommended duration of exclusive breastfeeding was inadequate in 16, and 65% of mothers reported breastfeeding problems in the first 6 months. Firstborn and low birth weight infants had a significantly higher rate of partial breastfeeding. Partial breastfeeding was also higher when infants were not breastfed within 1 hour from birth, mothers reported having breastfeeding-related problems or had inadequate knowledge of the duration of exclusive breastfeeding. Conclusion Nearly half of the infants were fully breastfed at 6 months of age in Nepal. The rate of partial breastfeeding was higher with inadequate knowledge on duration of exclusive breastfeeding or late initiation of breastfeeding or perceived breastfeeding problems. Hence, programs should address knowledge and practice gaps in breastfeeding practices, particularly among mothers of low birth weight and firstborn infants.
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    Can the adverse childhood experiences (ACEs) checklist be utilized to predict emergency department visits among children and adolescents?
    (2021-09-25) Bhattarai, Asmita; Dimitropoulos, Gina; Marriott, Brian; Paget, Jaime; Bulloch, Andrew G. M.; Tough, Suzanne C.; Patten, Scott B.
    Abstract Background Extensive literature has shown an association of Adverse Childhood Experiences (ACEs) with adverse health outcomes; however, its ability to predict events or stratify risks is less known. Individuals with mental illness and ACE exposure have been shown to visit emergency departments (ED) more often than those in the general population. This study thus examined the ability of the ACEs checklist to predict ED visits within the subsequent year among children and adolescents presenting to mental health clinics with pre-existing mental health issues. Methods The study analyzed linked data (n = 6100) from two databases provided by Alberta Health Services (AHS). The Regional Access and Intake System (RAIS 2016–2018) database provided data on the predictors (ACE items, age, sex, residence, mental health program type, and primary diagnosis) regarding children and adolescents (aged 0–17 years) accessing addiction and mental health services within Calgary Zone, and the National Ambulatory Care Reporting System (NACRS 2016–2019) database provided data on ED visits. A 25% random sample of the data was reserved for validation purposes. Two Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression models, each employing a different method to tune the shrinkage parameter lambda (namely cross-validated and adaptive) and performing 10-fold cross-validation for a set of 100 lambdas in each model were examined. Results The adaptive LASSO model had a slightly better fit in the validation dataset than the cross-validated model; however, it still demonstrated poor discrimination (AUC 0.60, sensitivity 37.8%, PPV 49.6%) and poor calibration (over-triaged in low-risk and under-triaged in high-risk subgroups). The model’s poor performance was evident from an out-of-sample deviance ratio of − 0.044. Conclusion The ACEs checklist did not perform well in predicting ED visits among children and adolescents with existing mental health concerns. The diverse causes of ED visits may have hindered accurate predictions, requiring more advanced statistical procedures. Future studies exploring other machine learning approaches and including a more extensive set of childhood adversities and other important predictors may produce better predictions. Furthermore, despite highly significant associations being observed, ACEs may not be deterministic in predicting health-related events at the individual level, such as general ED use.