The effects of loneliness and social isolation on all-cause, injury, cancer, and CVD mortality in a cohort of middle-aged Finnish men. A prospective study.

OBJECTIVES: Loneliness and social isolation both increase mortality and are likely to affect health via several pathways. However, information on the potential pathways remains scarce. We investigated the associations between loneliness, social isolation, and mortality, and possible mechanisms underlying these connections. METHODS: The analyzed data comprised a prospective population-based cohort of Finnish men (42-61 years at baseline, n = 2588) who were followed up for an average of 23.2 years. Mortality data were obtained from the national population register in 2012. Cox proportional hazards analysis with adjustments for possible confounding factors was used to examine the associations between loneliness and social isolation at baseline and all-cause, injury, cancer, and cardiovascular disease (CVD) mortality. Mediation analysis was conducted to investigate the mechanisms underlying the associations of loneliness and social isolation with mortality. RESULTS: Loneliness predicted all-cause mortality, even after adjustments for all covariates. Loneliness predicted cancer mortality, except after adjustments for lifestyle variables or Human Population Laboratory (HPL) depression scores, and also predicted CVD mortality, except after adjustments for HPL depression scores. Social isolation predicted all-cause mortality and injury mortality. The effect of social isolation on all-cause mortality was mediated by loneliness and HPL depression scores. CONCLUSIONS: Our findings suggest that both loneliness and social isolation increase the risk of all-cause mortality, while they have differing effects on different causes of death. Loneliness and depressive symptoms may mediate the effect of social isolation on increased mortality.

Child Maltreatment and Self-rated Health: Mediating Effect of Parent-child Conversation and Moderating Effect of Gender.

Child maltreatment seriously affects children's psychological and social well-being, as well as their physical health. The study aimed to explore the impact of violence experienced by children on their self-rated health. It also examined whether this effect is mediated by parent-child conversations and whether it varies based on the child's gender. The study was based on the Child Victim Survey of 2013 (FSD2943) in Finland. Mediation and moderation models were tested. According to the analyses, violence experienced by a child at the hands of their parents weakened the parent-child relationship, which, in turn, negatively impacted the child's self-rated health. Further, the higher the frequency of experienced violence, the more negative are the health consequences. However, girls had stronger negative health consequences as a result of low frequency of violence than boys. Social workers should pay particular attention to the dynamics within the family when assessing the possibility of child maltreatment.

The threshold of child protection notifications is higher in municipalities with a high level of risk factors - Is this evidence of the inverse intervention law?

BACKGROUND: Child protection notifications aim to secure the wellbeing of children. However, there is a large variation in the implementation of notifications across the municipalities in Finland. OBJECTIVE: This article explores whether the threshold of child protection notifications is higher in municipalities with a high level of socio-economic risk factors, as assumed by the inverse intervention law. PARTICIPANTS AND SETTING: The study is based on the system-level data of Finnish municipalities, and their socio-economic indicators for the period of 2010-2021. METHODS: A cluster analysis is used to group Finnish municipalities, based on the level of socio-economic risk factors, and a panel regression analysis, to verify whether these factors act as risk factors or as driving forces of inverse intervention law. RESULTS: The municipalities with a high level of risk factors have the higher threshold level for child protection notifications compared to other municipalities. In all municipalities, the share of single-parent families acts as a risk factor, while the share of residents with higher education acts as a driver of the inverse intervention law. Reduction of unemployment and income inequalities are also recognised as drivers of this law, but only in municipalities with a relatively higher level of risk factors. CONCLUSIONS: This study promotes the inverse intervention law, and contribute to the understanding of the driving forces of this law. Further, there is a difference in the threshold level of child protection notifications among municipalities which is based on their socio-economic context. Children are in an unequal position in relation to the municipality in which they live.

Multimorbidity and polyvictimization in children - An analysis on the association of children's disabilities and long-term illnesses with mental violence and physical violence.

BACKGROUND: Children's disabilities and long-term illnesses (DLTIs) are a significant risk factor in the development of maltreatment. OBJECTIVE: The study is focused on the association of children's DLTIs with child maltreatment and poly-victimization perpetrated by parents. PARTICIPANTS AND SETTING: The study is based on a 2013 Child Victim Survey (N = 11,364), which is a cross-sectional survey. This nationally representative survey focused on the life situation of Finnish children aged 12-17 years, as well as on experiences of violence, crime, and bullying. METHODS: Multinomial logistic regression analysis was used to examine the association of children's DLTIs and child maltreatment. RESULTS: Poly-victimization played a significant role in child maltreatment. Children's hearing impairment (OR 5.68, 95% Cl 2.25-14.35), physical disability (OR 3.32, 95% Cl 1.61-6.88), and mental health problems (OR 4.37, 95% Cl 1.63-11.72) increased the odds of poly-victimization more than other forms of abuse. The situation was similar with both somatic diseases (OR 1.59, 95% Cl 1.14-2.21) and psychiatric illnesses (OR 2.12, 95% Cl 1.36-2.47) in children. Further, somatic and psychiatric multimorbidity in children increased the odds of poly-victimization (OR 4.17, 95% Cl 2.25-7.75) slightly more than risk of physical abuse (OR 3.57, 95% 1.11-11.49). As control variables, child's gender and age, the family financial situation, and the parent's intimate partner violence were adjusted in all of the analyses. CONCLUSION: Clinical professionals should consider children's multimorbidity as a potential risk factor of maltreatment. The results of the study can be used to support families and children with DLTIs.

Are Children With a Number of Disabilities and Long-Term Illnesses at Increased Risk of Mental Violence, Disciplinary Violence, and Serious Violence?

The focus of this study was on the question of whether or not children with a number of disabilities and long-term illnesses are at increased risk of child maltreatment (mental violence, disciplinary violence, and serious violence). This study was based on the Child Victim Survey of 2013 (FSD2943). The data consist of a nationally representative sample of pupils in Finland in sixth grade (12-13 years of age) and ninth grade (15-16 years of age). The sampling was undertaken as a stratified cluster by province, municipality type, and school size. The total number of respondents was 11,364. According to the logistic regression analyses, the children with at least three disabilities or long-term illnesses had an increased risk of violence compared with children with no disability: The risk of mental violence increased by 2.96 times, the risk of disciplinary violence by 4.30 times, and the risk of serious violence by 3.53 times. The effect of the category of at least three disabilities and illnesses remained statistically significant, although the analysis also accounted for several confounding factors. Thus, a child's multiple morbidity (in the case of three or more disabilities and illnesses) can be categorized as one of the major risk factors for child maltreatment. The study complements the results of previous studies concerning the effect of children's disabilities and long-term illnesses and their impact on child maltreatment. The results underline the importance of employees of health and social care having knowledge of multiple morbidity and its importance as a key factor regarding child maltreatment.

Employees' attitudes towards welfare technology in substance abuse treatment in Finland.

AIM: The significance of welfare and health technology has been highlighted in recent years. However, employees' attitudes towards welfare technology in substance abuse treatment have received little attention. This article examines employees' readiness to introduce welfare technology in substance abuse treatment and their attitudes towards its use. DESIGN: The theoretical framework of this study is based on Ajzen's (1991, 2001) theory of planned behaviour, and the ongoing discussion about the adoption of new technology in healthcare. The research data (N = 129) were collected in the form of an electronic questionnaire in Finland in 2015. RESULTS: The results are consistent with the theory of planned behaviour and previous studies on the acceptance of information systems in healthcare. Employees' readiness to introduce new welfare technology applications and devices in substance abuse treatment is influenced by their personal appreciation of welfare technology, the expectations of their colleagues and supervisors, as well as their own perceptions of their capacity to learn to use the applications. CONCLUSIONS: The study found some links between demographic factors and cognitions related to welfare technology. In particular, employees with a healthcare background are more inclined to adopt the technology than other employees in substance abuse treatment. In addition, a person's age has a negative relationship with their perceived technology management. However, age has no significant connection with attitudes and no direct independent effect on the readiness to introduce a new welfare technology. Lastly, the results show that previous positive experiences of welfare technology make it easier to introduce new technologies.