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This study explored the influence of each family member’s life satisfaction on the other family members’ life satisfaction in mother-father-adolescent triads. We also explored the influence of each family member’s satisfaction with food-related life and family life on their own life satisfaction (LS) as well as on the other family members’ LS in mother-father-adolescent triads. The influence of family eating habits, food-related parenting practices used by each parent and sociodemographic characteristics on each family member’s LS were also explored. A survey was applied to a sample of 300 two-parent families with one child between 10 and 17 years of age in Temuco, Chile. The questionnaire included the Satisfaction with Life Scale, Satisfaction with Food-related Life scale, Satisfaction with Family Life scale, Adapted Healthy Eating Index, Family Food Behavior Survey and Family Eating Habits Questionnaire. Frequency and sources of family meals as well as sociodemographic characteristics were also consulted. Three multivariate ordinal logit models were proposed, with the dependent variable LS in the three subsamples: mothers, fathers and adolescents. The three logit models were significant, but differed in the explanatory variables. Mothers’ LS was influenced by their children’s LS and vice versa. Mothers’ LS was positively influenced by both their own satisfaction with family life and the fathers’ satisfaction with family life and vice versa. Children’s LS was also positively influenced by their own satisfaction with food-related and family life. Both parents’ LS was influenced by eating habits, food-related parenting practices and sociodemographic characteristics, but in different ways. Therefore, different interventions should be implemented to improve each family member’s life satisfaction.
相似文献To investigate the influence of the home environment, defined as family socioeconomic status (SES) (parent education level, household income), student resource-mediated SES (access to nutritional resources and cognitively stimulating experiences), reading ability, and difficulty with homework on quality of life in children and adolescents residing in urban and suburban areas in Hangzhou City, Zhejiang Province, China. This study included 3200 Grade 3–6 students from 8 elementary schools in Hangzhou City. Assessments included questionnaires that evaluated student quality of life, family SES, resource-mediated SES (dietary behavior and the home literacy environment), reading ability, and difficulty with homework. The effects of the home environment on student quality of life were analyzed by univariate analysis, multiple linear regression analysis, and structural equation modeling. Overall, 80.6% of students had a medium or better quality of life. Young age (Grade 3 or 4), female sex, household income of 10000–15000 RMB, high breakfast consumption, daily intake of fruit, a balanced diet, and good reading habits were positively correlated with student quality of life (P?<?0.05), while overuse of electronic devices was negatively correlated with quality of life (P?<?0.05). Dietary behaviors, home literacy environment, and student reading ability and difficulty with homework directly affected quality of life. Family SES indirectly affected student quality of life. Children and adolescents in China should have access to good nutrition and cognitively stimulating experiences to enhance their well-being and provide them with social and academic advantages.
相似文献Prenatal smoke exposure (PSE) is a risk factor for adverse outcomes in the offspring, including those affecting psychological development. However, it is uncertain whether these associations are the direct result of PSE or other confounding factors. The aim of this study was to examine the possible relationship between PSE and behavioral development in children at 7.5 years of age, considering several prenatal, neonatal and postnatal covariates. A cohort of 266 mother-child pairs was followed from the first trimester of pregnancy until the children reached 7.5 years of age. PSE was assessed using a questionnaire from prenatal clinical records and corroborated by plasma cotinine determinations in the first and second trimesters and in the cord. Mother-child pairs were classified into one of four groups: unexposed, exposed to passive smoking, first trimester active smoking only and active smoking throughout pregnancy. Child behavior was assessed using the Child Behavior Checklist for ages 6–18 and the Childhood Autism Spectrum Test. In multiple linear regression models, smoking during pregnancy was associated with higher scores in affective problems (β?=?0.298; p?=?0.004). No significant associations were found between smoking during pregnancy and externalizing problems. Findings indicate that PSE is negatively associated with behavioral development in childhood.
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