Networks in lockdown: The consequences of COVID-19 for social relationships and feelings of loneliness.

This paper studies social network changes during the COVID-19 crisis in the Netherlands and their relation to perceived loneliness for the younger and the older cohorts. Arguments from opportunity theory and social capital theory are used to formulate hypotheses on network changes during the pandemic. Core discussion networks and networks with practical helpers from two representative cohorts (18-35 years of age and 65+ years of age, n = 1342 participants in both waves) during the lockdown in May 2020 are compared with networks of the same respondents in May 2019. We find that networks became smaller and more focused on stronger ties, while weaker ties more often decayed. Feelings of loneliness incsreased on average for all respondents and in particular for those who live alone or have a disadvantaged socioeconomic position. Importantly, the decrease in the number of the practical helper network, that is, decline in relatively weaker ties, affects experiences of loneliness in both groups.

The lives of others: Class divisions, network segregation, and attachment to society in Chile.

In this paper, we examine whether social class and class divides in social networks contribute to individuals' attachment to society. We argue that network segregation restricts individuals' social worlds, thereby diminishing societal attachment. Our research site is Chile, a country with relatively low social cohesion and one of the world's highest levels of economic inequality. We use large-scale representative survey data collected in 2016 for the Chilean urban population aged 18-75 years (n = 2983) and interrelate indicators of well-established dimensions and sub-dimensions of societal attachment. Results of our regression analyses show that members of the upper middle class are more attached to society than their fellow citizens from other social strata. In addition, having more social contacts within one's own social class reduces attachment to society. In particular, network homogeneity lessens societal attachment for lower- and upper-class individuals, but not so strongly in the middle class. We conclude that social cohesion in Chilean society would be enhanced not only by more equal opportunities but also by changes to the social settings in which social class segregation is (re)produced.

Personality and Social Capital.

While previous research has shown that personality shapes social networks, we know very little about the relationship between these important psychological characteristics and the creation of social capital. In this article, we argue that personality shapes individuals' ability to create social capital, and we predict positive associations between each of the Big Five personality traits and social capital. We tested our hypotheses using the Social Survey of the Networks of the Dutch, 2014, which contains data on about 1,069 respondents, including social capital and Big Five personality measures. Our findings showed that personality and social capital were related such that extraversion and openness predicted instrumental social capital, and extraversion, emotional stability, and agreeableness predicted expressive social capital. Conscientiousness benefited instrumental social capital when respondents were older or when social capital was accessed via weak ties. We discuss these findings in light of existing explanations of the creation of social capital.

Families' Division of Labor and Social Networks in the 21st Century: Revisiting Elizabeth Bott's Classic Hypotheses.

In 1957, Elizabeth Bott argued that the organization of family and social networks are intertwined and that the structure and composition of social networks are associated with the ways in which spouses divide household and paid labor. While this idea became a classic in the literature addressing the division of labor, societies have changed tremendously in the past 50 years, and it has become far more common for spouses to divide their labor more equally. In addition, the causal direction is not clear: Do networks affect the division of labor or vice versa? We inquired as to the causal relationship using a large-scale longitudinal data set, collected in 2009/2010 and 2011/2012 (n = 2477; PAIRFAM [Panel Analysis of Intimate Relationships and Family Dynamics]). We found moderate support for the hypothesis that personal networks influence the division of labor in households, but there were stronger effects for the reverse-that is, that the division of labor affects network patterns, particularly for women.

Urban densification in the Netherlands and its impact on mental health: An expert-based causal loop diagram.

Urban densification is a key strategy to accommodate rapid urban population growth, but emerging evidence suggests serious risks of urban densification for individuals' mental health. To better understand the complex pathways from urban densification to mental health, we integrated interdisciplinary expert knowledge in a causal loop diagram via group model building techniques. Six subsystems were identified: five subsystems describing mechanisms on how changes in the urban system caused by urban densification may impact mental health, and one showing how changes in mental health may alter urban densification. The new insights can help to develop resilient, healthier cities for all.

You have to be there to enjoy it? Neighbourhood social capital and health.

BACKGROUND: Several studies have shown the positive effect of neighbourhood social capital on health. Existing research, however, has hitherto not studied whether the duration and intensity of exposure to neighbourhood social capital conditions and its effect on health. The aim of this study was to examine whether neighbourhood social capital affects individual's health immediately and equally. METHODS: We used two waves of the Dutch cross-sectional 'Housing and Living Survey'. One (from 2009) as individual data (n = 65,990), and the other (from 2006) to estimate with ecometric measurements a social capital measure for 3001 Dutch neighbourhoods. We assessed by means of multilevel regression models the combined effect of exposure and amount of neighbourhood social capital on self-rated health. RESULTS: Duration of exposure, measured by the length of stay in the same neighbourhood is not linearly associated with individual health. Health of people who live up to 6 years or >22 years in the same neighbourhood is not affected by neighbourhood social capital. People with young children in the household or elderly were assumed to be more intensively exposed. However, exposure intensity was only found to have an effect for households with young children. CONCLUSIONS: Duration and intensity of exposure to neighbourhood social capital, a social aspect of the environment, matters for people's health. Interventions focusing on the health of people with young children may want to stimulate the creation of neighbourhood social capital.

Health-related behavior as a mechanism behind the relationship between neighborhood social capital and individual health--a multilevel analysis.

BACKGROUND: Although various studies have found a positive association between neighborhood social capital and individual health, the mechanism explaining this direct effect is still unclear. Neighborhood social capital is the access to resources that are generated by relationships between people in a friendly, well-connected and tightly knit neighborhood community. We expect that the resources generated by cohesive neighborhoods support and influence health -improving behaviors in daily life. We identify five different health-related behaviors that are likely to be affected by neighborhood social capital and test these behaviors separately as mediators. METHODS: The data set pertaining to individual health was taken from the 'health interview' in the 'Second Dutch national survey of general practice' (DNSGP-2, 2002). We combine these individual-level data with data from the 'Dutch housing demand survey' (WBO, 1998 and WoON, 2002) and statistical register information (1995-1999). Per neighborhood 29 WBO respondents, on average, had answered questions regarding social capital in their neighborhood. These variables have been aggregated to the neighborhood level by an ecometric methodology. In the main analysis, in which we tested the mediation, multilevel (ordered) logistic regressions were used to analyze 9253 adults (from the DNSGP-2 data set) from 672 Dutch neighborhoods. In the Netherlands, on average, neighborhoods (4-digit postcodes) comprise 4,000 inhabitants at highly variable population densities. Individual- and neighborhood-level controls have been taken into account in the analyses. RESULTS: In neighborhoods with a high level of social capital, people are more physically active and more likely to be non-smokers. These behaviors have positive effects on their health. The direct effect of neighborhood social capital on health is significantly and strongly reduced by physical activity. This study does not support nutrition and sleep habits or moderate alcohol intake as possible explanations of the effects of neighborhoods on health. CONCLUSIONS: This study is one of the first to test a mechanism explaining much of the direct effect of small-area social capital on individual health. Neighborhood interventions might be most successful at improving health if they stimulate both social interaction and physical activity.

'Birds of a feather' - forever? Homogeneity in adult friendship networks through the life course.

This paper studies the changes in the homogeneity of friendship networks in terms of gender, age, and educational diversity. It is argued that through the life course, both an individual's demand and the structural supply of similar others change. This should be reflected in the composition of friendship relations in personal networks. Rich network panel data that cover a period of 19 years are employed (The Social Survey of the Dutch, SSND). Results show that gender and educational homogeneity in friendships increases when people age, while age homogeneity remains unchanged. Notably, friendship as a relational category remains important throughout a person's life and only few respondents report that they have no friends.

Is networking different with doctors working part-time? Differences in social networks of part-time and full-time doctors.

BACKGROUND: Part-time working is a growing phenomenon in medicine, which is expected to influence informal networks at work differently compared to full-time working. The opportunity to meet and build up social capital at work has offered a basis for theoretical arguments. METHODS: Twenty-eight teams of medical specialists in the Netherlands, including 226 individuals participated in this study. Interviews with team representatives and individual questionnaires were used. Data were gathered on three types of networks: relationships of consulting, communication and trust. For analyses, network and multilevel applications were used. Differences between individual doctors and between teams were both analysed, taking the dependency structure of the data into account, because networks of individual doctors are not independent. Teams were divided into teams with and without doctors working part-time. RESULTS AND DISCUSSION: Contrary to expectations we found no impact of part-time working on the size of personal networks, neither at the individual nor at the team level. The same was found regarding efficient reachability. Whereas we expected part-time doctors to choose their relations as efficiently as possible, we even found the opposite in intended relationships of trust, implying that efficiency in reaching each other was higher for full-time doctors. But we found as expected that in mixed teams with part-time doctors the frequency of regular communication was less compared to full-time teams. Furthermore, as expected the strength of the intended relationships of trust of part-time and full-time doctors was equally high. CONCLUSION: From these findings we can conclude that part-time doctors are not aiming at efficiency by limiting the size of networks or by efficient reachability, because they want to contact their colleagues directly in order to prevent from communication errors. On the other hand, together with the growth of teams, we found this strategy, focussed on reaching all colleagues, was diminishing. And our data confirmed that formalisation was increasing together with the growth of teams.

The impact of social capital, land use, air pollution and noise on individual morbidity in Dutch neighbourhoods.

BACKGROUND: Both social and physical neighbourhood factors may affect residents' health, but few studies have considered the combination of several exposures in relation to individual health status. AIM: To assess a range of different potentially relevant physical and social environmental characteristics in a sample of small neighbourhoods in the Netherlands, to study their mutual correlations and to explore associations with morbidity of residents using routinely collected general practitioners' (GPs') data. METHODS: For 135 neighbourhoods in 43 Dutch municipalities, we could assess area-level social cohesion and collective efficacy using external questionnaire data, urbanisation, amount of greenspace and water areas, land use diversity, air pollution (particulate matter (PM) with a diameter <10 µm (PM10), PM <2.5 µm (PM2.5) and nitrogen dioxide (NO2), and noise (from road traffic and from railways). Health data of the year 2013 from GPs were available for 4450 residents living in these 135 neighbourhoods, that were representative for the entire country. Morbidity of 10 relevant physical or mental health groupings was considered. Individual-level socio-economic information was obtained from Statistics Netherlands. Associations between neighbourhood exposures and individual morbidity were quantified using multilevel mixed effects logistic regression analyses, adjusted for sex, age (continuous), household income and socio-economic status (individual level) and municipality and neighbourhood (group level). RESULTS: Most physical exposures were strongly correlated with degree of urbanisation. Social cohesion and collective efficacy tended to be higher in less urbanised municipalities. Degree of urbanisation was associated with higher morbidity of all disease groupings. A higher social cohesion at the municipal level coincided with a lower prevalence of depression, migraine/severe headache and Medically Unexplained Physical Symptoms (MUPS). An increase in both natural and agricultural greenspace in the neighbourhood was weakly associated with less morbidity for all conditions. A high land use diversity was consistently associated with lower morbidities, in particular among non-occupationally active individuals. CONCLUSION: A high diversity in land use of neighbourhoods may be beneficial for physical and mental health of the inhabitants. If confirmed, this may be incorporated into urban planning, in particular regarding the diversity of greenspace.

Neighbourhood social and physical environment and general practitioner assessed morbidity.

The aim of our study was to investigate the association between health enhancing and threatening, and social and physical aspects of the neighbourhood environment and general practitioner (GP) assessed morbidity of the people living there, in order to find out whether the effects of environmental characteristics add up or modify each other. We combined GP electronic health records with environmental data on neighbourhoods in the Netherlands. Cross-classified logistic multilevel models show the importance of taking into account several environmental characteristics and confounders, as social capital effects on the prevalence of morbidity disappear when other area characteristics are taken into account. Stratification by area socio-economic status, shows that the association between environmental characteristics and the prevalence of morbidity is stronger for people living in low SES areas. In low SES areas, green space seems to alleviate effects of air pollution on the prevalence of high blood pressure and diabetes, while the effects of green space and social capital reinforce each other.

Does income inequality have lasting effects on health and trust?

According to the income inequality hypothesis, income inequality is associated with poorer health. One important proposed mechanism for this effect is reduced trust. In this study, we argue that income inequality during a person's formative years (i.e., around age 16) may have lasting consequences for trust and health. Multilevel analyses of data from the combined World Values Survey and European Values Study that were collected between 1981 and 2014 support our prediction and show that income inequality is associated with ill health in young adults, in part because it reduces their social trust. The negative consequences of income inequality remain stable for a substantial period of life but eventually fade away and have no effect after age 36.

Romantic relationship formation, maintenance and changes in personal networks.

According to the social withdrawal hypothesis, a personal network becomes smaller when a person starts dating, cohabitates and marries. This phenomenon is widely established in the literature. However, these studies were usually done with cross-sectional data. As a consequence, it is still unclear whether or how personal networks actually change after the formation of a romantic relationship (i.e. dating), after starting cohabitation and after getting married. It is also unclear how long and to what extent social withdrawal continues. To overcome these shortcomings, we examine how the size and composition of personal networks change after relationship formation. We use two waves of the PAIRFAM dataset (2008 and 2011), which include information about 6640 Germans who were between 16 and 39 years of age at the time of the second interview in 2008. Results from fixed effects regression models underscore that the association between romantic relationships and changes in personal networks is more dynamic than previous studies suggested. For example, after the formation of a romantic relationship people show a decrease in non-kin contacts, while an increase in non-kin contacts is observed after two years of dating, as well as after two years of cohabitation. These network changes suggest that people adapt their social networks to the demands and constraints of each phase of a romantic relationship. Because the decline in network size after dating is not stable, there is no need to be afraid that those who have a romantic partner remain isolated from other relationships.

Personal networks of prisoners prior to incarceration: A comparison with the general Dutch population.

This study examines inmates' core discussion network prior to their incarceration. The core discussion network consists of the immediate social circle of relatively strong ties. The aims of the study are twofold: (1) to describe inmates' core discussion network prior to their incarceration in terms of network structure, relationship quality and embedded socioeconomic resources; (2) to compare inmates' core discussion network with the core discussion network of the general Dutch population. Data are analyzed from the Prison Project (n=1909) and the Survey of the Social Networks of the Dutch (n=394). Compared with the general Dutch population, prior to incarceration, prisoners generally have a core discussion network that is similar to or even better with respect to network structure and relationship quality. However, prisoners' core discussion network members seem to lack socioeconomic resources.

Neighborhood social capital and individual health.

Neighborhood social capital is increasingly considered to be an important determinant of an individual's health. Using data from the Netherlands we investigate the influence of neighborhood social capital on an individual's self-reported health, while accounting for other conditions of health on both the level of the neighborhood and the individual. We use national representative data ('The Housing and Living Survey', 2006) on the Netherlands with 61,235 respondents in 3273 neighborhoods. The cross-sectional data were combined with information provided by Statistics Netherlands on neighborhoods, i.e., the percentage of residents in the highest income quintile per neighborhood and the municipality's degree of urbanity. The association of neighborhood social capital with individual health was assessed by multilevel logistic regression analysis. Our results show that neighborhood social capital is positively associated with health. Interestingly, residents in urban neighborhoods benefit particularly from their neighborhood social capital.