Aims: To provide an overview of the parental, child, and socio‐contextual factors related to general parenting self‐efficacy (PSE) in the general population.Design: Systematic review.Data sources: Medline Ovid, Web of Science, Embase, and PsycINFO Ovid were systematically searched for studies published between January 1980‐June 2020.Review Methods: Studies were included if they described associations between factor(s) and PSE among parents of children aged 0–18 years old in the general population, and published in an English language peer‐reviewed journal. Studies with participants from specific populations, studies describing the development of instruments for PSE, qualitative studies, reviews, theses, conference papers and book chapters were excluded. Belsky's process model of parenting guided the data synthesis.Results: Of 3,819 articles, 30 articles met the inclusion criteria. Eighty‐nine factors were identified. There was evidence of associations between child temperament, maternal parenting satisfaction, parenting stress, maternal depression, household income, perceived social support and PSE. Evidence was inconsistent for an association of educational level, parity, number of children in the household and PSE in mothers. There was no evidence of an association for child gender, age, marital status and PSE in both mothers and fathers; ethnicity, age, employment status in mothers; household income in fathers; and educational level, parenting fatigue in parents.Conclusion: A range of factors studied in relation to PSE was identified in this systematic review. However, the majority of the factors was reported by one or two studies often implementing a cross‐sectional design.Impact: There is some evidence for an association between some potentially modifiable factors and PSE in the general population, this information may be used by health and social professionals supporting child health and well‐being. Future longitudinal studies are recommended to study parental, child and socio‐contextual factors associated with PSE to inform the development of intervention strategies.

Parenting stress has been related to adverse health outcomes in parents, children, and their families. This systematic review aimed to provide an overview of parental, child, and situational factors related to parenting stress in mothers and fathers. We searched Embase, Medline Epub (Ovid), PsychInfo (Ovid), Web of Science, and Google scholar for studies published between January 1980 and May 2021 evaluating the association between at least one factor and parenting stress. Studies were included only if they reported the association in a general population sample of mothers and fathers with children aged 0–12 years. The parent–child relationship model by Abidin guided the data synthesis. Quality of the evidence was assessed using the Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a variety of fields. In total, 29 studies were included with excellent quality (55%), good (31%), and adequate (14%) methodological quality. There was evidence of an association between maternal depression, child overall problems, child externalizing and internalizing problems, social support, maternal educational level and maternal parenting stress. Evidence was inconsistent for an association between maternal anxiety, family income and maternal parenting stress. There was no evidence of an association for maternal age, child sex and maternal parenting stress. Several modifiable factors (i.e., parental depression and social support) were identified that might guide the development of preventive interventions. Future research should employ longitudinal study designs evaluating protective and risk factors and the pathways that lead to parenting stress, among both fathers and mothers.

So far, it has not yet been studied whether socioeconomic status is associated with distinct frailty components and for which frailty component this association is the strongest. We aimed to examine the association between socioeconomic status and frailty and frailty components. In addition we assessed the mediating effect of the number of morbidities on the association between socioeconomic status and other frailty components. This is a cross-sectional study of pooled data of The Older Persons and Informal Caregivers Survey Minimum DataSet in the Netherlands among community-dwelling persons aged 55 years and older (n = 26,014). Frailty was measured with a validated Frailty Index that consisted of 45 items. The Frailty Index contained six components: morbidities, limitations in activities of daily living (ADL), limitations in instrumental ADL (IADL), health-related quality of life, psychosocial health and self-rated health. Socioeconomic indicators used were education level and neighbourhood socioeconomic status. Persons with primary or secondary education had higher overall frailty and frailty component scores compared to persons with tertiary education (P < .001). Lower education levels were most consistently associated with higher overall frailty, more morbidities and worse self-rated health (P < .05 in all age groups). The strongest association was found between primary education and low psychosocial health for persons aged 55–69 years and more IADL limitations for persons aged 80+ years. Associations between neighborhood socioeconomic status and frailty (components) also showed inequalities, although less strong. The number of morbidities moderately to strongly mediated the association between socioeconomic indicators and other frailty components. There are socioeconomic inequalities in frailty and frailty components. Inequalities in frailty, number of morbidities and self-rated health are most consistent across age groups. The number of morbidities a person has play an important role in explaining socioeconomic inequalities in frailty and should be taken into account in the management of frailty.

The global increase in childhood overweight and obesity has been ascribed partly to increases in children's screen time. Parents have a large influence on their children's screen time. Studies investigating parenting and early childhood screen time are limited. In this study, we investigated associations of parenting style and the social and physical home environment on watching TV and using computers or game consoles among 5-year-old children. This study uses baseline data concerning 5-year-old children (n = 3067) collected for the ‘Be active, eat right’ study. Children of parents with a higher score on the parenting style dimension involvement, were more likely to spend >30 min/day on computers or game consoles. Overall, families with an authoritative or authoritarian parenting style had lower percentages of children's screen time compared to families with an indulgent or neglectful style, but no significant difference in OR was found. In families with rules about screen time, children were less likely to watch TV>2 hrs/day and more likely to spend >30 min/day on computers or game consoles. The number of TVs and computers or game consoles in the household was positively associated with screen time, and children with a TV or computer or game console in their bedroom were more likely to watch TV>2 hrs/day or spend >30 min/day on computers or game consoles. The magnitude of the association between parenting style and screen time of 5-year-olds was found to be relatively modest. The associations found between the social and physical environment and children's screen time are independent of parenting style. Interventions to reduce children's screen time might be most effective when they support parents specifically with introducing family rules related to screen time and prevent the presence of a TV or computer or game console in the child's room.

The objectives of this meta-analysis were to provide an overview of the evidence regarding the effects of interventions, implemented in the school- and general population setting, aiming to prevent excessive sedentary behaviour in children and adolescents on (1) the amount of sedentary behaviour and (2) BMI. Differences in effects on sedentary behaviour and BMI between single health behaviour interventions (sedentary behaviour only) and multiple health behaviour interventions were explored. A literature search was conducted in PubMed, EMBASE, Web of Science, PsycINFO and Cochrane Database of Systematic Reviews. Thirty-four (R)CT studies evaluating 33 general population interventions, published between 1990 and April 2011, aiming to decrease sedentary behaviour in normal weight children or adolescents (0–18 years) were included. Intervention duration ranged from 7 days to 4 years. Mean change in sedentary behaviour and BMI from baseline to post-intervention was calculated using a random effects model. Results showed significant decreases for the amount of sedentary behaviour and BMI. For sedentary behaviour the post-intervention mean difference was −17.95 min/day (95%CI:-26.61;–9.28); the change-from-baseline mean difference was −20.44 min/day (95%CI:-30.69;–10.20). For BMI the post-intervention mean difference was −0.25 kg/m² (95%CI:-0.40;–0.09); the change-from-baseline mean difference was −0.14 kg/m² (95%CI:-0.23;–0.05). No differences were found between single and multiple health behaviour interventions. Interventions in the school- and general population setting aiming to reduce only sedentary behaviour and interventions targeting multiple health behaviours can result in significant decreases in sedentary behaviour. Studies need to increase follow-up time to estimate the sustainability of the intervention effects found.