Understanding the Roles of Context, Frequency, and Quantity of Alcohol Consumption in Child Physical Abuse: Risks for Mothers and Fathers

Freisthler, Bridget

doi:10.1007/s10896-015-9795-6

Cited by 8 publications

(6 citation statements)

References 50 publications

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“…Abuses in these populations are often reported in police and hospital information systems. The World Health Organization reported that 82% of Thai people had experienced adverse effects due to other drinkers at least once within the past 12 months, of which the most vulnerable populations are children, women, and the elderly [16, 17]. The World Health Organization also reported that 28% of the Thai population harmed by alcohol users were impacted by their family members, with children and women being particularly affected because they had less power for protection or negotiation from harm due to alcohol users [18, 19].…”

Section: Introductionmentioning

confidence: 99%

Factor associated with alcohol use among Lahu and Akha hill tribe youths, northern Thailand

Singkorn

Apidechkul

Putsa

et al. 2019

Subst Abuse Treat Prev Policy

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BackgroundAlcohol use impacts several dimensions, including physical health, mental health, families, and social interactions. This study aimed to estimate the prevalence and to determine the factors associated with alcohol use among Akha and Lahu hill tribe youths in Chiang Rai, Thailand.MethodsAn analytic cross-sectional design was applied to obtain key data on these associations. The study sample was Akha and Lahu hill tribe youths aged 15-24 years who lived in 30 selected hill tribe villages. A questionnaire was developed from an in-depth interview and group discussion and tested for validation and reliability before use. Descriptive statistics were used to demonstrate the general characteristics, and Chi-square test and logistic regression were used to detect associations between variables at α=0.05.ResultsA total of 737 subjects were recruited into the study, of whom 50.0% were Lahu. The average age was 17.9 years, 80.7% were single, 71.1% were Christian, 65.9% graduated secondary school, and 65.7% had their major source of income from their parents. Overall, 17.3% smoked and 45.0% drank alcohol. Among the drinkers, 79.8% drank beer, 61.5% started drinking at an age of 15-19 years, 86.8% had drank for < 5 years, 42.5% were persuaded to drink by their peers, 20.2% suffered an accident after alcohol use, and 17.2% had experienced unsafe sex after drinking alcohol. In the multiple logistic regression, six variables were associated with alcohol use among the Akha and Lahu youths. Males had greater odds of alcohol use than females (ORadj = 3.50, 95% CI = 2.24-5.47). Buddhists had greater odds of alcohol use than Christians (ORadj = 1.88, 95% CI = 1.17-3.04). Participants who were unemployed, employed, and in other categories of occupation had greater odds of alcohol use than those who were students (ORadj = 2.20, 95% CI = 1.23-3.92; ORadj = 6.89, 95% CI = 3.38-13.89; and ORadj = 2.96, 95% CI = 1.01-8.59, respectively). Participants whose fathers were daily wage workers had greater odds of alcohol use (ORadj = 2.89; 95% CI = 1.23-6.79) than those whose parents worked in agriculture, and those whose fathers used alcohol had greater odds of alcohol use than those whose fathers did not use alcohol (ORadj = 2.17, 95% CI = 1.40-3.35). Finally, those who had 6-10 and ≥ 11 close friends living in the same village who used alcohol had greater odds of alcohol use (ORadj = 8.51, 95% CI = 3.10-23.3; and ORadj = 3.84, 95% CI = 1.15-12.77, respectively).ConclusionTo reduce the initiation of alcohol use among Akha and Lahu youths, public health intervention programs should focus on males who are not attending school and should be implemented for both their family members and peers.

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Section: Introductionmentioning

confidence: 99%

Factor associated with alcohol use among Lahu and Akha hill tribe youths, northern Thailand

Singkorn

Apidechkul

Putsa

et al. 2019

Subst Abuse Treat Prev Policy

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“…The bibliography has reported multiple factors associated with CMS, e.g., being a teenage mother, 10,14,16,17 a low level of education, 14,18 economic poverty, 12,14,19,20 being a single mother 21 or single-parent households, 18 a history of parents with CMS, 4,13,20 alcoholism, 22,23 criminal records, 4,14 the child being 3 years old 24 or having a disability. 14,21,25,26 We looked for these factors in our population and, once readjusted for drug use, even with an improved income, the risk remained.…”

Section: Discussionmentioning

confidence: 99%

Risk factors associated with maltreatment syndrome in Mexican children seen at the Emergency Department

et al. 2020

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Introduction. Child maltreatment is a common cause of hospitalization in developing countries. Children who suffer some type of physical or psychological abuse may develop social adaptation problems. This study analyzed the risk factors associated with child maltreatment syndrome in children admitted to the Emergency Department. Population and methods. This was a case-control study of children who suffered maltreatment and controls at a 1:1 ratio conducted between January 2015 and December 2016. The most relevant risk factors were analyzed; a p value ≤ 0.05 was considered statistically significant. Results. In total, 148 children who suffered maltreatment and 148 controls were included. Fetal abuse was the most common problem, followed by neglect. In most cases, the abuser was a relative or acquaintance of the child. Being a teenage mother (adjusted odds ratio [aOR]: 3.19; 95 % confidence interval [CI]: 1.49-6.80), a low level of education (aOR: 4.70; 95 % CI: 2.33-9.45), a low income (aOR: 2.02; 95 % CI: 1.16-3.5), illegal drug use (aOR: 15.32; 95 % CI: 6.22-37.7), a child with disability (aOR: 8.58; 95 % CI: 2.76-26.6), and age younger than 2 years (aOR: 2.08; 95% CI: 1.20-3.63) were the highest risk factors for child maltreatment. Conclusion. Teenage mothers with a low socioeconomic level have the higher risk for abuse from a caregiver. Disability is a risk factor that doubles in the multivariate analysis when associated with teenage mothers.

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“…La literatura reporta múltiples factores a s o c i a d o s a l S M I , c o m o s e r m a d r e adolescente, 10,14,16,17 , nivel de educación bajo, 14,18 pobreza económica, 12,14,19,20 ser madre soltera 21 o familias monoparentales, 18 antecedente en los padres de SMI, 4,13,20 alcoholismo, 22,23 antecedentes criminales, 4,14 que el menor tenga una edad de 3 años 24 o alguna discapacidad. 14,21,25,26 Estos factores fueron buscados en nuestra población y, al reajustarlos con el uso de drogas, incluso al mejorar los ingresos económicos, persistió el riesgo.…”

Section: Discussionunclassified

Factores de riesgo asociados al síndrome de maltrato infantil en niños mexicanos atendidos en el Servicio de Urgencias

2020

Arch Argent Pediat

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Understanding the Roles of Context, Frequency, and Quantity of Alcohol Consumption in Child Physical Abuse: Risks for Mothers and Fathers

Cited by 8 publications

References 50 publications

Factor associated with alcohol use among Lahu and Akha hill tribe youths, northern Thailand

Factor associated with alcohol use among Lahu and Akha hill tribe youths, northern Thailand

Risk factors associated with maltreatment syndrome in Mexican children seen at the Emergency Department

Factores de riesgo asociados al síndrome de maltrato infantil en niños mexicanos atendidos en el Servicio de Urgencias

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