BACKGROUND: Preschool children have a high risk of poisoning. While medicines prescribed by primary care are potential poisoning agents, the risk factors for poisoning from medication are not well described. AIM: To identify risk factors for medicinal and non-medicinal poisoning in preschool children. DESIGN AND SETTING: Population-based nested case-control study using The Health Improvement Network primary care database 1988-2004. METHOD: Conditional logistic regression was used to identify child, maternal, and social risk factors for medicinal (1316 cases) and non-medicinal poisoning (503 cases), using 17 709 controls matched on general practice. RESULTS: Poisoning by medicines was independently associated with deprivation (test for trend P<0.001), maternal age (P<0.001), birth order (P<0.001), maternal alcohol misuse (odds ratio [OR] = 5.44, 95% confidence interval [CI] = 1.99 to 14.91), and perinatal depression (OR = 1.54, 95% CI = 1.26 to 1.88). Living in a household with two or more adults lowered the odds of injury compared to single-parent households (OR = 0.85, 95% CI = 0.74 to 0.96) and the odds varied by age, being highest in 2 year olds (OR = 9.61, 95% CI = 7.73 to 11.95). Non-medicinal poisoning was associated with deprivation (P = 0.001), maternal age (P<0.001), and birth order (P<0.001). The odds were raised in 1 year olds (OR = 5.44, 95% CI = 4.07 to 7.26) and 2 year olds (OR = 5.07, 95% CI = 3.73 to 6.90) compared to those aged <1 year. CONCLUSION: Primary care data can be used to target interventions to children at risk of poisoning. This is pertinent when prescribing for children/family members, as prescribed medications may become poisoning agents. Prompt identification of maternal depression and alcohol misuse, and delivery of poisoning-prevention interventions at this stage may help prevent poisonings.
BACKGROUND: Preschool children have a high risk of poisoning. While medicines prescribed by primary care are potential poisoning agents, the risk factors for poisoning from medication are not well described. AIM: To identify risk factors for medicinal and non-medicinal poisoning in preschool children. DESIGN AND SETTING: Population-based nested case-control study using The Health Improvement Network primary care database 1988-2004. METHOD: Conditional logistic regression was used to identify child, maternal, and social risk factors for medicinal (1316 cases) and non-medicinal poisoning (503 cases), using 17 709 controls matched on general practice. RESULTS:Poisoning by medicines was independently associated with deprivation (test for trend P<0.001), maternal age (P<0.001), birth order (P<0.001), maternal alcohol misuse (odds ratio [OR] = 5.44, 95% confidence interval [CI] = 1.99 to 14.91), and perinatal depression (OR = 1.54, 95% CI = 1.26 to 1.88). Living in a household with two or more adults lowered the odds of injury compared to single-parent households (OR = 0.85, 95% CI = 0.74 to 0.96) and the odds varied by age, being highest in 2 year olds (OR = 9.61, 95% CI = 7.73 to 11.95). Non-medicinal poisoning was associated with deprivation (P = 0.001), maternal age (P<0.001), and birth order (P<0.001). The odds were raised in 1 year olds (OR = 5.44, 95% CI = 4.07 to 7.26) and 2 year olds (OR = 5.07, 95% CI = 3.73 to 6.90) compared to those aged <1 year. CONCLUSION: Primary care data can be used to target interventions to children at risk of poisoning. This is pertinent when prescribing for children/family members, as prescribed medications may become poisoning agents. Prompt identification of maternal depression and alcohol misuse, and delivery of poisoning-prevention interventions at this stage may help prevent poisonings.
Authors: Joyce E Kenkre; Teresa F Allan; Rosalind S Tobias; David J Parry; Stirling Bryan; Yvonne H Carter Journal: Fam Pract Date: 2002-12 Impact factor: 2.267
Authors: Felix Achana; Alex J Sutton; Denise Kendrick; Mike Hayes; David R Jones; Stephanie J Hubbard; Nicola J Cooper Journal: BMC Public Health Date: 2016-08-03 Impact factor: 3.295