Increased Mortality in Hip Fracture Patients Living Alone: A NOREPOS Study.

Hip fracture is associated with excess mortality, persisting for many years after the fracture. Several factors may affect survival; however, the role of social support has been less studied. Living situation could be an indicator of a person's social support, which predicts mortality in the general population. In this longitudinal cohort study, we considered whether living alone was a risk factor for post-hip fracture mortality compared with living with a partner. Information on hip fractures from all hospitals in Norway from 2002 to 2013 was combined with the 2001 National Population and Housing Census. The association between living situation and mortality during 12.8 years of follow-up in 12,770 men and 22,067 women aged 50 to 79 years at fracture was investigated using flexible parametric survival analysis. We also estimated relative survival of hip fracture patients compared with that of the non-fractured background population in the same living situation (alone or with a partner). Higher mortality after hip fracture was found in both men and women living alone versus with a partner (hazard ratio [HR] men = 1.37, 95% confidence interval [CI] 1.29-1.44; HR women = 1.23, 95% CI 1.18-1.28, adjusting for age, education level, urbanization degree, and number of children). We demonstrated the strongest association in male hip fracture patients aged <60 years (long-term mortality HR = 3.29, 95% CI 2.25-6.49). Compared with the general population, relative survival 8 years after a hip fracture was 43% in men and 61% in women living alone, whereas relative survival in those living with a partner was 51% in men and 67% in women. In conclusion, hip fracture patients who lived alone had higher mortality than those living with a partner and lower survival relative to the general population. © 2021 American Society for Bone and Mineral Research (ASBMR).

Urban-Rural Differences in Hip Fracture Mortality: A Nationwide NOREPOS Study.

Higher hip fracture incidence in urban than in rural areas has been demonstrated, but urban-rural differences in posthip fracture mortality have been less investigated, and the results are disparate. Hence, the aims of the present register-based cohort study were to examine possible urban-rural differences in short- and long-term mortality in Norwegian hip fracture patients and their potential associations with sociodemographic variables, and to investigate possible urban-rural differences in excess mortality in hip fracture patients compared with the general population. Data were provided from the NOREPOS hip fracture database, the 2001 Population and Housing Census, and the National Registry. The urbanization degree in each municipality was determined by the proportion of inhabitants living in densely populated areas (rural: <1/3, semirural: 1/3 to 2/3, and urban: >2/3). Age-adjusted mortality rates and standardized mortality ratios were calculated for hip fracture patients living in rural, semirural, and urban municipalities. A flexible parametric model was used to estimate age-adjusted average and time-varying HRs by category of urbanization with the rural category as reference. Among 96,693 hip fracture patients, urban residents had higher mortality than their rural-dwelling counterparts. The HR of mortality in urban compared with rural areas peaked during the first 1 to 2 years postfracture with a maximum HR of 1.20 (95% CI, 1.10 to 1.30) in men and 1.15 (95% CI, 1.08 to 1.21) in women. The differences were significant during approximately 5 years after fracture. Adjusting for sociodemographic variables did not substantially change the results. However, absolute 30-day mortality was not significantly different between urban and rural residents, suggesting that health-care quality immediately postfracture does not vary by urbanization. The novel findings of a higher long-term mortality in urban hip fracture patients might reflect disparities in health status or lifestyle, differences in posthip fracture health care or rehabilitation, or a combination of several factors. © 2019 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research.

Impact of comorbidity, age, and gender on seasonal variation in hip fracture incidence. A NOREPOS study.

UNLABELLED: Based on a total of 136,140 hip fractures, we found a distinct seasonal variation in hip fracture incidence present in subgroups defined by age, gender, and comorbidity. The seasonal variation was most pronounced in the youngest and the healthiest patients. PURPOSE: The purpose of this study was to examine the possible seasonal variation in hip fracture incidence in Norway by comorbidity, age, and gender. METHODS: Data were retrieved from the NOREPOS Hip Fracture Database containing all hip fractures in Norway during the time period 1994-2008. Hip fractures were identified by computerized hospital discharge diagnoses. Charlson comorbidity index was calculated based on additional diagnoses and categorized (0, 1, and ≥2). Summer was defined as June, July, and August and winter as December, January, and February. Incidence rate ratios for hip fracture according to season were calculated by negative binomial models. RESULTS: In patients aged 50-103 years, 136,140 eligible fractures were identified (72.5 % women). The relative risk of hip fracture in winter versus summer was 1.40 (95 % confidence interval (CI) 1.36-1.45) in men and 1.26 (95 % CI 1.23-1.28) in women. June had the lowest number of fractures in both genders. We found seasonal variation in all subgroups by age and gender, although least pronounced in patients >79 years. There was a significant interaction between season and comorbidity (p = 0.022). When comparing winter to summer, we found relative risks of 1.40 (95 % CI 1.31-1.50) in patients with Charlson index = 0, 1.29 (95 % CI 1.19-1.40) in patients with Charlson index = 1, and 1.18 (95 % CI 1.08-1.28) in patients with Charlson index ≥2. CONCLUSIONS: There was a distinct seasonal variation in hip fracture incidence, present in all subgroups of gender, age, or comorbidity. This variation should be accounted for when planning health-care services.