Background Social networks and social support can influence older adults' depressive symptoms, but depressive symptoms can also influence network maintenance. This study examined longitudinal relationships between social network structure, social support, and depressive symptoms. Methods Data are from Waves 1 (2005–2006) and 2 (2010–2011) of the National Social Life, Health, and Aging Project, a longitudinal study on health and social factors of older adults. Models examining: (i) the influence of T1 network structure and T1 social support on T2 depressive symptoms; (ii) the influence of T1 depressive symptoms and T1 network structure on T2 social support; and (iii) the influence of T1 depressive symptoms and T1 social support on T2 network structure, were estimated using ordinary least squares lagged dependent variable regression models. Results Evidence of reciprocal associations between social support and depressive symptoms were found, as well as social support and the number of close ties and frequency of contact. No clear reciprocal associations between social network structure and depressive symptoms were found, although density was associated with later depressive symptoms, and depressive symptoms were associated with later number of close ties. Conclusion The reciprocal relationship between network structure and depressive symptoms is weak, whereas social support is strongly related to both depression and network structure, suggesting the importance of having supportive ties in an older adult's personal network for positive mental health.

Social support may facilitate disaster recovery. Prior analyses are hampered by the limits of cross-sectional approaches. We use longitudinal data from the KATIVA-NOLA survey to explore whether social support soon after Hurricane Katrina facilitated recovery of health status for a representative sample of 82 Vietnamese New Orleanians. Health and social support were assessed just before Hurricane Katrina (2005), soon afterwards (2006, 2007), and at longer durations post-disaster (2010, 2018). We use random effects regression to examine how social support measured in 2006 influences mental and physical health measured in 2006, 2007, 2010, and 2018. Social support soon after Katrina was positively associated with physical health and mental health years later in 2010, even after controlling for potential confounders such as Katrina-related housing damage and pre-Katrina health and support and modeling an interaction between year and social support in 2006. Other immigrants who are highly impacted by a major disaster could benefit from programs that seek to rapidly reconstruct systems of social support.

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Purpose Health insurance claims databases provide an opportunity to study uncommon events, such as venous thromboembolism (VTE), in large patient populations. This study evaluated case definitions for identifying VTE among patients treated for rheumatoid arthritis (RA) using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes in claims data. Patients and Methods Study participants were insured adults who received treatment for and had a diagnosis of RA between 2016 and 2020. After a 6-month covariate assessment window, patients were observed for ≥1 month until health plan disenrollment, occurrence of a presumptive VTE, or end of the study (12/31/2020). Presumptive VTEs were identified using predefined algorithms based on ICD-10-CM diagnosis codes, anticoagulant use, and care setting. Medical charts were abstracted to confirm the VTE diagnosis. Performance of primary and secondary (less stringent) algorithms was assessed by calculating the positive predictive value (PPV; primary and secondary objectives). Additionally, a linked electronic health record (EHR) claims database and abstracted provider notes were used as a novel alternative source to validate claims-based outcome definitions (exploratory objective). Results A total of 155 charts identified with the primary VTE algorithm were abstracted. The majority of patients were female (73.5%), with mean (standard deviation) age 66.4 (10.7) years and Medicare insurance (80.6%). Obesity (46.8%), ever smoking (55.8%), and prior evidence of VTE (28.4%) were commonly reported in medical charts. The PPV for the primary VTE algorithm was 75.5% (117/155; 95% confidence interval [CI], 68.7%, 82.3%). A less stringent secondary algorithm had a PPV of 52.6% (40/76; 95% CI, 41.4%, 63.9%). Using an alternative EHR-linked claims database, the primary VTE algorithm PPV was lower, potentially due to the unavailability of relevant records for validation. Conclusion Administrative claims data can be used to identify VTE among patients with RA in observational studies.

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