Measuring Social Isolation in Older Adults: Development and Initial Validation of the Friendship Scale

By G. Hawthorne. 2006

422 citations recorded by the source corpus.

Subfields: General Health Professions, Health, Physiology

View Paper: https://www.semanticscholar.org/paper/4b0f0c4fbaa33aca2c29e6d44afeb3f7cd4ab599

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Diego Zavaleta
2. S. Richards
3. A. Dickens
4. Yi-Ru Regina Chen
5. C. Mills
6. Peter Johannes Schulz
7. Seth A. Kaplan
8. C. Greaves

In Health

1. Diego Zavaleta
2. Yi-Ru Regina Chen
3. C. Mills
4. Peter Johannes Schulz
5. K. Samuel

In Physiology

1. Diego Zavaleta
2. Yi-Ru Regina Chen
3. C. Mills
4. Peter Johannes Schulz
5. C. Greaves
6. K. Samuel

Citations in the corpus

• The impact of telework on emotional experience: When, and for whom, does telework improve daily affective well-being? (2015, background): “The measure of social connectedness outside of the workplace included a stem question with five items measured on a 1– 5 scale (strongly disagree to strongly agree) (adapted from Hawthorne, 2006).”
• Interventions targeting social isolation in older people: a systematic review (2011, background): “The prevalence of social isolation amongst older people is substantial, estimated to be 7 - 17% depending on the definition and outcome measure used [14,27,29-31].”
• The Effect of Information Communication Technology Interventions on Reducing Social Isolation in the Elderly: A Systematic Review (2016, background): “Depending on the definition and measure, the prevalence of social isolation among people aged 60 years and older is 7% to 24% [2-7] compared to 7% in the general population [6].”
• Social isolation: A conceptual and measurement proposal (2014, positive): “Furthermore, while research has tended to treat social trust as a universal basis in the measurement of social cohesion, Hooghe (2007) argues that trust is an inadequate indicator compared to reciprocity.”
• StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones (2014, background): “There is a growing interest in using smartphone sensing [31, 9, 12, 11, 40, 8, 15] to infer human dynamics and behavioral health [7, 34, 25, 21, 18, 23, 35, 28, 30].”