Medical outcomes study social support survey (MOS-SSS) in patients with chronic disease: A psychometric assessment

Social support in low-income women with Fibromyalgia Syndrome from a sub-urban and peri-urban areas of Tenerife (Canary Islands, Spain): a mixed method study

BACKGROUND

Women with Fibromyalgia Syndrome (FMS) can benefit form adequate social support to fight the consequences of their illness, but the extent to which this is available to those with low incomes who live in depressed areas of Tenerife (Canary Islands, Spain) is currently unknown. The purpose of this study was to explore social support in low-incomes women with FMS in sub-urban and peri-urban areas of Tenerife.

METHODOLOGY

A sequential exploratory mixed method study was carried out from January 20, 2023, to June 10, 2023, at the Fibromyalgia and Chronic Fatigue Association of Tenerife (AFITEN) using non-probability convenience sampling. Social support was analyzed quantitatively through MOS-SSS survey and Duke-UNC-11 questionnaire, while qualitative data were obtained through semi-structured interviews to identify social support providers and analyze their satisfactions levels.

RESULTS

A total of 49 women, with a mean age of 57.80 years-old (SD = 13.25) were finally included in this study. MOSS-SSS and Duke-UNC-11 both indicated lower social support levels at 68.6 (SD =16.3) and 38.0 (SD = 9.74), respectively. The qualitative analysis revealed that partners and friends provided the most significant support with the highest satisfaction scores.

CONCLUSIONS

The socioeconomic status of low-income women with FMS living in sub-urban and peri-urban areas of Tenerife (Canary Islands, Spain) influences on their social support, with the affective support and confidentiality being the most affected dimensions.

A large clinical trial to improve well-being during the transition to college using wearables: The lived experiences measured using rings study

INTRODUCTION

The transition to college is a period of elevated risk for a range of mental health conditions. Although colleges and universities strive to provide mental health support to their students, the high demand for these services makes it difficult to provide scalable, cost-effective solutions.

OBJECTIVE

To address these issues, the present study aims to compare the efficacy of three different treatments using a large cohort of 600 students transitioning to college. Interventions were selected based on their potential for generalizability and cost-effectiveness on college campuses.

METHODS

The study is a Phase II parallel-group, four-arm, randomized controlled trial with 1:1 allocation that will assign 600 participants to one (n = 150 per condition) of four arms: 1) group-based therapy, 2) physical activity program, 3) nature experiences, or 4) weekly assessment condition as a control group. Physiological data will be collected from all participants using a wearable device to develop algorithmic mental and physical health functioning predictions. Once recruitment is complete, modeling strategies will be used to evaluate the outcomes and effectiveness of each intervention.

DISCUSSION

The findings of this study will provide evidence as to the benefits of implementing scalable and proactive interventions using technology with the goal of improving the well-being and success of new college students.