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The role played by endogenous hormones in many diseases makes it important to understand factors influencing their levels. This study examined the distribution of total and free estradiol, FSH, and dehydroepiandrosterone sulfate (DHEAS) by age and sex and associations of these hormones with body mass index (BMI), lifestyle factors, and chronic diseases. Plasma samples taken from 1555 men and 1952 women 25-84 yr of age in 1994-1995 Tromsø Study were analyzed in 2001. Total estradiol increased with age among men (P < 0.001), with or without adjustment for BMI and lifestyle factors. FSH increased with age both in men (P < 0.001) as well as pre- (P < 0.001) and postmenopausal women (P = 0.01) after similar adjustment, and DHEAS decreased with age in both sexes (P < 0.001). With increasing BMI, free estradiol increased in men (P = 0.004), total and free estradiol increased in postmenopausal women (P < 0.001), and FSH decreased in men (P = 0.03) and postmenopausal women (P < 0.001). Men with chronic diseases had lower levels of DHEAS, compared with healthy men (P < 0.001). Smokers had higher DHEAS levels than nonsmokers. Further studies are needed to confirm these hormonal changes with age and disease.

BackgroundPerson-Centered Integrated Care (PC-IC) is believed to improve outcomes and experience for persons with multiple long-term and complex conditions. No broad consensus exists regarding how to capture the patient-experienced quality of PC-IC. Most PC-IC evaluation tools focus on care events or care in general. Building on others’ and our previous work, we outlined a 4-stage goal-oriented PC-IC process ideal: 1) Personalized goal setting 2) Care planning aligned with goals 3) Care delivery according to plan, and 4) Evaluation of goal attainment. We aimed to explore, apply, refine and operationalize this quality of care framework.MethodsThis paper is a qualitative evaluative review of the individual Patient Pathways (iPP) experiences of 19 strategically chosen persons with multimorbidity in light of ideals for chronic care. The iPP includes all care events, addressing the persons collected health issues, organized by time. We constructed iPPs based on the electronic health record (from general practice, nursing services, and hospital) with patient follow-up interviews. The application of the framework and its refinement were parallel processes. Both were based on analysis of salient themes in the empirical material in light of the PC-IC process ideal and progressively more informed applications of themes and questions.ResultsThe informants consistently reviewed care quality by how care supported/ threatened their long-term goals. Personal goals were either implicit or identified by “What matters to you?” Informants expected care to address their long-term goals and placed responsibility for care quality and delivery at the system level. The PC-IC process framework exposed system failure in identifying long-term goals, provision of shared long-term multimorbidity care plans, monitoring of care delivery and goal evaluation. The PC-IC framework includes descriptions of ideal care, key questions and literature references for each stage of the PC-IC process. This first version of a PC-IC process framework needs further validation in other settings.ConclusionGaps in care that are invisible with event-based quality of care frameworks become apparent when evaluated by a long-term goal-driven PC-IC process framework. The framework appears meaningful to persons with multimorbidity.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3246-z) contains supplementary material, which is available to authorized users.

We wanted to determine the risk of non-vertebral fracture associated with type and duration of diabetes mellitus, adjusting for other known risk factors. This is a population-based 6-year follow-up of 27,159 subjects from the municipality of Tromsø, followed from 1994 until 2001. The age range was 25-98 years. Self-reported diabetes cases were validated by review of the medical records. All non-vertebral fractures were registered by computerized search in radiographic archives. A total of 1,249 non-vertebral fractures was registered, and 455 validated cases of diabetes were identified. Men with type I diabetes had an increased risk of all non-vertebral [relative risk (RR) 3.1 (95% CI 1.3-7.4)] and hip fractures [RR 17.8 (95% CI 5.6-56.8)]. Diabetic women, regardless of type of diabetes, had significantly increased hip fracture risk [RR 8.9 (95% CI 1.2-64.4) and RR 2.0 (95% CI 1.2-3.6)] for type I and type II diabetes, respectively. Diabetic men and women using insulin had increased hip fracture risk. Duration of disease did not alter hip fracture risk. An increased risk of all non-vertebral fractures and, especially, hip fractures was associated with diabetes mellitus, especially type I. Type II diabetes was associated with increased hip fracture risk in women only.