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Karakia gave me peace. A new idea gave me hope. I learnt new strategies. The Lowdown is here to help teens Visit the site. I created a safe space. I connect with my family. I celebrate my successes. I spend time with my mates. The sample was comprised of individuals selected by random digit dialing RDD , with several geographical oversamples, siblings of individuals from the RDD sample, and a national RDD sample of twins.

All eligible participants were non-institutionalized, English-speaking adults age 25—75 at baseline. The baseline assessment, Wave 1, occurred in —, and a follow-up assessment, Wave 2, was conducted in — The full survey included a telephone interview, administered by trained lay interviewers, and a written questionnaire.

For our analyses, we included individuals who participated in both waves. Sample sizes for particular analyses vary due to differences in the number of evaluable responses. Past-year major depressive episode, assessed at ten-year follow-up, was the primary outcome variable in this study. In our primary analyses, we assessed the overall baseline quality of social relationships, including items measuring social support and strain.

In secondary analyses, we used measures of the negative aspects of relationships social strain and the positive aspects of relationships social support separately. The score range was from one to four, with a higher score indicating less social support. Response options and score range paralleled that of the positive interactions scale.

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  7. Responses were reverse-coded, with a higher score indicating more social strain. To measure overall relationship quality for the three different types of social relationships spouse or partner, family members, and friends , we constructed composite, eight-item scales that combined the positive and negative dimensions of social relationships.

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    On these four-point scales, a higher score indicates lower overall quality. Scale scores were the mean of all items. Social isolation was assessed by determining at baseline whether someone lived with a marital or romantic partner and the frequency of their contact with non-cohabitating family, friends, and neighbors.

    Covariates were selected for inclusion based on their known association with depression or social relationships and all variables were assessed at baseline. Similar to recent studies, [17] we included sex, age, ethnicity, education level, household income, physical and mental health, major depressive disorder, generalized anxiety disorder, and alcohol misuse.

    Major depressive disorder and generalized anxiety disorder diagnoses were based on the CIDI-SF scales, which determined past month prevalence. Alcohol misuse was assessed with a five-item alcohol screening test e.

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    Variables were dichotomized when distribution of the data precluded analysis as continuous variables. All covariates were analyzed at baseline. In our primary analyses, multivariable logistic regression was used to examine the association between the overall quality of social relationships, social isolation, and subsequent depression.

    A dichotomous measure of major depression was used because of sample skewness and the potential increase in clinical relevance diagnosis rather than symptoms. The regression models were adjusted for the effects of the covariates described above. We provide predicted probabilities of depression given differing levels of quality in relationships by evaluating at individual level risk values. Because our sample included a subpopulation of siblings and twins, we obtained robust standard errors by clustering error structure at the household level.

    We also conducted analyses with only the population-based i. However, due to substantially reduced power, many of the results did not reach statistical significance in this reduced sample. Specification checks suggested the logit function was a linear combination of the predictors. Regression diagnostics indicated good discrimination and calibration of our model. We conducted an a priori power estimate, assuming a total sample size of 4, and participants with social isolation or poor quality social relationships. Sample data were weighted using Current Population Survey CPS data derived from the Census Bureau to ensure that the sample was nationally representative in terms of age and gender distributions in As no sampling was conducted for Wave 2, only population-based adjustments were used.

    Details on the construction of the post-stratification weights are available in the supporting information Text S1 and Tables S1 , S2 , S3. All analyses reported herein are based on the weighted data. In addition to reflecting true household clusters, standardized errors also reflect variance in weights. We also conducted four sensitivity analyses. First, to account for missing responses, we employed multiple imputation using switching regression, an iterative multivariable regression technique. There were no notable differences between results from the imputed and non-imputed datasets, and here we report results from the latter.

    Second, for analyses on participants with a spouse or partner, we added an additional covariate for change in partnership status to the multivariable models, which produced very similar effect sizes and no significant differences.


    Third, we repeated all analyses using unweighted data, with no significant differences in results detected. Fourth, we conducted analyses on the subsample of participants without major depression at baseline and report relevant results below. Data were analyzed using Stata version 12 Stata Corp. Table 1 provides baseline characteristics of the 4, study participants.

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    Five hundred fifty-nine participants The mean score on the overall quality of social relationships was 1. Participants more commonly reported strain rather than lack of support in their social relationships. The majority did not have markers of social isolation.

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    6. Social Relationships and Depression: Ten-Year Follow-Up from a Nationally Representative Study.
    7. We first examined whether the overall of quality of social relationships at baseline predicted occurrence of major depressive episodes at follow-up. Across all types of social relationships, poor quality in core relationships was associated with a significantly higher risk of depression adjusted odds ratio [AOR], 2.

      In secondary analyses including all types of social relationships, both strain AOR, 2. In secondary analyses, we assessed relationships only with family and friends, including all participants, even those without a partner. Again we found that overall poor quality in relationships was a significant predictor of depression. The type of social relationship also affected depression risk Table 3. In contrast, the overall quality of relationships with friends did not independently predict subsequent depression AOR, 1.

      Similarly, in sensitivity analysis where participants without a spouse or partner were included, poor quality of relationships with family members but not friends significantly increased risk of depression. Those with the highest quality social relationships top decile had just a 6. Data are weighted to adjust results to more closely match characteristics of the general U.

      Data on frequency of social contact were available for relationships with family, friends, and neighbors.