Skip to main content
. Author manuscript; available in PMC: 2020 Feb 24.
Published in final edited form as: Health Soc Care Community. 2019 Aug 25;27(6):1375–1387. doi: 10.1111/hsc.12830

TABLE 1.

Characteristics of included studies

Authors (year) Study design N Women (%) Age (range and/or mean [SD]) Social factors under study Was the relationship for social factors significant? Summary of the relationship found between social factors and outcomes Length of follow-up (months)
Cobey et al., 1976 Prospective observational cohort 89 75 65–91 Participation—getting out of the home prior to injury Yes Participation prior to fracture was correlated with recovery as measured by modification of a functional activity scale developed by Katz 6
Magaziner et al., 1990 Prospective observational cohort 340 83.50 78.1 ± 7.1 Social network Yes Greater contact with ones social network is positively associated with recovery in three areas (walking ability, physical dependence and instrumental dependence). 12
Egan et al., 1992 Prospective observational cohort 61 78.70 76.6 ± 7.4 Role loss (investigated using the Role Checklist) and social support (investigated using part 2 of the Personal Resource Questionnaire) No Dependence in ADL’s at home was not significantly related to role loss (different roles in life). 0.7 (3 weeks)
Marottoli et al., 1992 Prospective observational cohort 118 72.03 65+; 78.2 Social support (social network size, number of sources of emotional or task support, marital status and social activities) No At 6 weeks and 6-months fewer sources of emotional support at baseline was not statistically significant as a predictor of better physical function. 6
Marottoli et al., 1994 Prospective observational cohort 120 71.67 65+; not given Social network and support measures (social network size, number of sources of emotional or task support, marital statusand social activities) No for the majority of factors Measures were not associated with an increase or decrease risk of mortality. Being unmarried was the only social support measure that trended towards institutionalisation. 6
Oh & Feldt, 2000 Prospective observational cohort 70 88.60 65+; 84.12 Social supportas measured using a modified Norbeck Social Support Questionnaire Yes Perceptions of network size and instrumental support at discharge were correlated with functional status, as measured by the Functional Status Index, at 2 months following discharge. 2
Cree et al., 2001 Prospective observational cohort 367 79 65+; 82 Social support determined by whether the respondent had someone to rely on for help when needed; measured by the Older Americans Resources and Services (OARS) Yes Functional dependence among patients of low mental function is predicted by social support. 3
Cresci, 2001 Cross-sectional
exploratory
73 100.0 65+; 81 ±6.87 Informational support (used the modified Inventory of Socially Supportive Behaviors (ISSB) provided by natural support systems Yes Informational support was a significant predictor of post injury functional status N.A.
Allegrante et al., 2007 Randomised control trial 59 76.27 65+; 77 ±8 Multi-faceted rehab approach: a motivational video and social contact with an age-matched peer who had recovered from hip fracture Yes Intervention arm had a significant positive change in the role-physical scale as compared to the control. 6
Mortimore et al., 2008 Prospective observational cohort 674 77.40 65+; 81.1 ± 7.4 Interaction with social network Yes Infrequent contact with family or friends before hip fracture are at higher risk of dying than are those who have frequent contact. 24
Morghen et al., 2011 Prospective observational cohort 280 88.40 65+; 80.2 ± 6.8 Living arrangement No Living alone was not significant predictor of failure to recover walking independence at discharge 12
Sylliaas et al., 2012 Prospective observational cohort 277 82 65+; 82.4 ± 6.5 Living arrangement No Living arrangement was not a significant predictor of either ADL or IADL 3
Gambatesa et al., 2013 Randomised control Trial 40 92.50 70+; 80.8 ±6.5 Counselling (as a social support) Yes Counselling had a positive impact on health-related quality of life on all patients, but in a more relevant way if patients were low functioning upon admittance to the ward. 1
Orive et al., 2016 Prospective observational cohort 740 79.07 65 and older; not given Home status, institutional support at baseline, independence level and income Yes Predictors of worsening pain at 6 months and/or 18 months included living in a home-care situation or nursing home before the fracture. Social predictors of deterioration in function at 6 months and/or 8 months included lower income. 18
Hongisto et al., 2016 Prospective observational cohort 841 78.10 65 and older; 81.9 ± 6.77 Living with somebody, previous living arrangement Yes Living with somebody prior to hip fracture was protective against institutionalisation at 1 year. Institutionalisation at 1 and 4 months after hip fracture considerably increased the risk of death and permanent institutionalisation 12 months after hip fracture. 12
Kristensen etal.,2017 Prospective population-based cohort study 25,354 49 65 and older; not given Socioeconomic markers: education, income, cohabiting status and migrant status Yes (for some) Patients with higher education had a lower 30-day mortality risk. Level of family income was associated with lower 30-day mortality. Patients with both high education and high income had a lower risk of acute readmission. 1
Landeiro et al., 2016 Prospective observational cohort 278 79.50 75+; 85.5 ±5.8 Social isolation Yes Being isolated or at a high risk of social isolation, was significantly associated with delayed discharges. 0.4 (13 days on average)
Shin et al., 2016 Retrospective cohort study 5,441 71 65 and older; not given SES (income) Yes Mean survival time was longer as the income level increased 120 (this is retrospective database study with 11 years of follow-up for some patients)
Thorne et al., 2016 (Wales) Record linkage study —database study 11,098 73.25 80.4 ± 11.1 Social demographics: income, employment, health and disability, education, barriers to housing and services, crime, living environment Yes for social deprivation and mortality rates Social deprivation (based on the social demographics indicated) was significantly associated with increased mortality in the most deprived quintile compared with the least deprived quin- tile at 90 and 365 days in Wales 12
Thorne et al., 2016 (England) Record linkage study—database study 171,570 72.85 80.7 ± 11.6 Social demographics: income, employment, health and disability, education, barriers to housing and services, crime, living environment Yes for social deprivation and mortality rates Social deprivation was significantly associated with increased mortality in the most deprived quintile compared with the least deprived quintile at 30, 90 and 365 days in England. 12

Abbreviations: ADL, activities of daily living; IADL, instrumental activities of daily living.