ABSTRACT
AIMS/BACKGROUND: Assessing the intensity of perinatal grief is very important for identifying the more complex cases in mothers and fathers. Despite this, there are few assessment tools available. The aim of this study was to analyse the psychometric properties (factorial structure, reliability, and validity) of the Spanish version of the Perinatal Grief Intensity Scale (PGIS). DESIGN/METHODS: An online survey was completed by 291 mothers and fathers who had suffered perinatal loss in the previous six years. RESULTS: The results showed adequate fit indexes for the three-factor model of the PGIS: reality, confront others, and congruence. Reliability values for the overall scale and subscales were adequate. Finally, with regard to validity, significant (p < .05) and positive relationships were found with levels of complicated grief, event centrality, guilt, anxiety, and depression. There were also differences depending on whether participants exhibited high or low levels of complicated grief, and on the number of weeks of pregnancy at the time of the loss. CONCLUSION: In conclusion, the Spanish adaptation of the PGIS has adequate reliability and validity scores and a factorial structure consistent with the original version.
ABSTRACT
BACKGROUND: Previous studies have only investigated how symptom presentation and socio-demographic factors influence care-seeking for low back pain (LBP). However, the influence of health and lifestyle factors remains unclear, and the potential confounding effects of aggregated familial factors (including genetics and the early shared environment) has not been considered extensively. METHODS: A cross-sectional analysis was performed on 1605 twins enrolled in the Murcia Twin Registry (Spain). The outcome was seeking medical care for LBP and various self-reported demographic, health and lifestyle factors were considered predictors. All variables except sleep quality and diabetes were collected in 2013, which were cross-referenced from 2009 to 2010. A multivariate logistic regression model was performed on the total sample, followed by a co-twin case-control analysis. RESULTS: The only significant factor found to increase the odds of seeking medical care for LBP without being affected by familial factors was poor sleep quality (total sample OR = 1.58, 95%CI 1.24-2.01; case-control OR = 1.75, 95%CI 1.14-2.69). The factors that were associated with reduced odds of seeking medical care for LBP and not confounded by familial factors were male sex (case-control OR = 0.55, 95%CI 0.33-0.93), alcohol intake (case-control OR = 0.90, 95%CI 0.82-0.99) and a history of diabetes (case-control OR = 0.50, 95%CI 0.25-0.97). No other factors significantly influenced medical care-seeking for LBP. CONCLUSIONS: People reporting poor sleep quality are more likely to seek medical care for LBP in the long term, with this relationship being independent from aggregated familial factors. Conversely, males, people reporting higher alcohol intake, and people with a history of diabetes are less likely to seek medical care for LBP. SIGNIFICANCE: This is the first study investigating the factors that influence seeking medical care for LBP, while adjusting for the influence of familial factors using a co-twin control design. Poor sleep quality is associated with seeking medical care for LBP in the long term and does not appear to be confounded by familial factors. Early screening for indicators of poor sleep quality and appropriate referral to interventions for improving sleep quality or reducing pain in sleep may improve LBP management.
