Men’s mental health has remained undertheorized, particularly in terms of the gendered nature of men’s social relations. While the importance of social connections and strong supportive networks for improving mental health and well-being is well documented, we know little about men’s social support networks or how men go about seeking or mobilizing social support. An in-depth understanding of the gendered nature of men’s social connections and the ways in which the interplay between masculinity and men’s social connections can impact men’s mental health is needed. Fifteen life history interviews were undertaken with men in the community. A theoretical framework of gender relations was used to analyze the men’s interviews. The findings provide rich insights into men’s diverse patterns of practice in regards to seeking or mobilizing social support. While some men differentiated between their social connections with men and women, others experienced difficulties in mobilizing support from existing connections. Some men maintained a desire to be independent, rejecting the need for social support, whereas others established support networks from which they could actively seek support. Overall, the findings suggest that patterns of social connectedness among men are diverse, challenging the social science literature that frames all men’s social relationships as being largely instrumental, and men as less able and less interested than women in building emotional and supportive relationships with others. The implications of these findings for promoting men’s social connectedness and mental health are discussed.
While a statistically significant variation by ethnicity in the effect of price discounts on food purchasing was found, the authors caution against a causal interpretation due to likely biases (eg, attrition) that differentially affected Māori and Pacific people. The study highlights the challenges in generating valid evidence by social groups for public health interventions. The null findings for tailored nutritional education across all social groups suggest that structural interventions (such as price) may be more effective.
If the research objective is to quantify the proportion of the total association that is due to mediation (ie, indirect effect), then minimising non-differential misclassification bias of the mediator is more important than that for the exposure. Misclassification bias is an important source of error when estimating direct and indirect effects.
BackgroundAdult socioeconomic position (SEP) is one of the most frequently hypothesised indirect pathways between childhood SEP and adult health. However, few studies that explore the indirect associations between childhood SEP and adult health systematically investigate the mediating role of multiple individual measures of adult SEP for different health outcomes. We examine the potential mediating role of individual measures of adult SEP in the associations of childhood SEP with self-rated health, self-reported mental health, current smoking status and binge drinking in adulthood.MethodsData came from 10,010 adults aged 25-64 years at Wave 3 of the Survey of Family, Income and Employment in New Zealand. The associations between childhood SEP (assessed using retrospective information on parental occupation) and self-rated health, self-reported psychological distress, current smoking status and binge drinking were determined using logistic regression. Models were adjusted individually for the mediating effects of education, household income, labour market activity and area deprivation.ResultsRespondents from a lower childhood SEP had a greater odds of being a current smoker (OR 1.70 95% CI 1.42-2.03), reporting poorer health (OR 1.82 95% CI 1.39-2.38) or higher psychological distress (OR 1.60 95% CI 1.20-2.14) compared to those from a higher childhood SEP. Two-thirds to three quarters of the association of childhood SEP with current smoking (78%), and psychological distress (66%) and over half the association with poor self-rated health (55%) was explained by educational attainment. Other adult socioeconomic measures had much smaller mediating effects.ConclusionsThis study suggests that the association between childhood SEP and self-rated health, psychological distress and current smoking in adulthood is largely explained through an indirect socioeconomic pathway involving education. However, household income, area deprivation and labour market activity are still likely to be important as they are intermediaries in turn, in the socioeconomic pathway between education and health.
Background: Most research is affected by differential participation, where individuals who do not participate have different characteristics to those who do. This is often assumed to induce selection bias. However, selection bias only occurs if the exposure‐outcome association differs for participants compared to non‐participants. We empirically demonstrate that selection bias does not necessarily occur when participation varies in a study. Methods: We used data from three waves of the longitudinal Survey of Family, Income and Employment (SoFIE). We examined baseline associations of labour market activity and education with self‐rated health using logistic regression in five participation samples: A) the original sample at year one (n=22,260); B) those remaining in the sample (n=18,360); C) those (at year 3) consenting to data linkage (n=14,350); D) drop outs over three years (n=3,895); and E) those who dropped out or did not consent (n=7,905). Results: Loss to follow‐up was more likely among lower socioeconomic groups and those with poorer health. However, for labour market activity and education, the odds of reporting fair/poor health were similar across all samples. Comparisons of the mutually exclusive samples (C and E) showed no difference in the odds ratios after adjustment for sociodemographic (participation) variables. Thus, there was little evidence of selection bias. Conclusions: Differential loss to follow‐up (drop out) need not lead to selection bias in the association between exposure (labour market activity and education) and outcome (self‐rated health).
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