In the last two decades, there has been increasing application of the concept of social capital in various fields of public health, including oral health. However, social capital is a contested concept with debates on its definition, measurement, and application. This study provides an overview of the concept of social capital, highlights the various pathways linking social capital to health, and discusses the potential implication of this concept for health policy. An extensive and diverse international literature has examined the relationship between social capital and a range of general health outcomes across the life course. A more limited but expanding literature has also demonstrated the potential influence of social capital on oral health. Much of the evidence in relation to oral health is limited by methodological shortcomings mainly related to the measurement of social capital, cross-sectional study designs, and inadequate controls for confounding factors. Further research using stronger methodological designs should explore the role of social capital in oral health and assess its potential application in the development of oral health improvement interventions.

BackgroundHealth behaviors are a key determinant of health and well-being that are influenced by the nature of the social environment. This study examined associations between social relationships and health-related behaviors among a nationally representative sample of older people.MethodsWe analyzed data from three waves (1999–2004) of the US National Health and Nutrition Examination Survey (NHANES). Participants were 4,014 older Americans aged 60 and over. Log-binomial regression models estimated prevalence ratios (PR) for the associations between social relationships and each of the following health behaviors: alcohol use, smoking, physical activity and dental attendance.ResultsHealth-compromising behaviors (smoking, heavy drinking and less frequent dental visits) were related to marital status, while physical activity, a health-promoting behavior, was associated with the size of friendship networks. Smoking was more common among divorced/separated (PR = 2.1; 95% CI: 1.6, 2.7) and widowed (PR = 1.7; 95% CI: 1.3, 2.3) respondents than among those married or cohabiting, after adjusting for socio-demographic background. Heavy drinking was 2.6 times more common among divorced/separated and 1.7 times more common among widowed men compared to married/cohabiting men, while there was no such association among women. For women, heavy drinking was associated with being single (PR = 1.7; 95% CI: 1.0, 2.9). Being widowed was related to a lower prevalence of having visited a dentist compared to being married or living with a partner (PR = 0.92; 95% CI 0.86, 0.99). Those with a larger circle of friends were more likely to be physically active (PR = 1.17; 95% CI:1.06, 1.28 for 5–8 versus less than 5 friends).ConclusionsSocial relationships of older Americans were independently associated with different health-related behaviors, even after adjusting for demographic and socioeconomic determinants. Availability of emotional support did not however mediate these associations. More research is needed to assess if strengthening social relationships would have a significant impact on older people’s health behaviors and ultimately improve their health.

No abstract

Loneliness is a serious concern in aging populations. The key risk factors include poor health, depression, poor material circumstances, and low social participation and social support. Oral disease and tooth loss have a significant negative impact on the quality of life and well-being of older adults. However, there is a lack of studies relating oral health to loneliness. This study investigated the association between oral health-related quality of life (through the use of the oral impact on daily performances—OIDP—measure) and loneliness amongst older adults living in England. Data from respondents aged 50 and older from the third (2006–2007) and fifth (2010–2011) waves of the English Longitudinal Study of Ageing were analyzed. In the cross-sectional logistic regression model that adjusted for socio-demographic, socio-economic, health, and psychosocial factors, the odds of loneliness were 1.48 (1.16–1.88; p < 0.01) higher amongst those who reported at least one oral impact compared to those with no oral impact. Similarly, in the fully adjusted longitudinal model, respondents who reported an incident oral impact were 1.56 times (1.09–2.25; p < 0.05) more likely to become lonely. The association between oral health-related quality of life and loneliness was attenuated after adjusting for depressive symptoms, low social participation, and social support. Oral health-related quality of life was identified as an independent risk factor for loneliness amongst older adults. Maintaining good oral health in older age may be a protective factor against loneliness.Electronic supplementary materialThe online version of this article (doi:10.1007/s10433-016-0392-1) contains supplementary material, which is available to authorized users.

Background: Adverse childhood experiences (ACEs) predict poorer mental health across the life course but most of the extant research has employed ACE scores or individual adversities using retrospective data. Objectives: To study the impact of ACEs on later mental health using not only ACEs scores and individual ACEs, but also latent class analysis (LCA), which respects the clustering of adversities. Participants and setting: 8823 members from the UK Millennium Cohort Study. Methods: We investigated the impact of prospectively reported ACEs on mental health trajectories derived using the Strengths and Difficulties Questionnaire at age 3, 5, 7, 11 and 14. Associations between LCA-derived ACE clusters, ACE scores, individual ACEs and mental health trajectories were tested using linear mixed effects models. Results: With statistical significance set at 5% level, ACE scores showed a graded association with internalizing (ACE score of 1: β = 0.057; ACE score of 2: β = 0.108; ACE score of 3: β = 0.202), externalizing (ACE score of 1: β = 0.142; ACE score of 2: β = 0.299; ACE score of 3: β = 0.415) and prosocial behaviors (ACE score of 1: β=-0.019; ACE score of 2: β=-0.042; ACE score of 3: β=-0.059). Harsh parenting and physical punishment were particularly strongly associated with externalizing (β = 0.270 and β = 0.256) and negatively associated with prosocial behaviors (β=-0.046 and β=-0.058). Parental discord and parental depression showed the strongest associations with internalizing problems (β = 0.125 and β = 0.113). LCA did not discriminate ACE clusters in this dataset. Conclusions: ACEs have an important impact on mental health from childhood to adolescence. ACEs score approach yielded useful results, which were further enhanced by exploring individual ACEs.