The level of health anxiety before and during the COVID-19 pandemic.

BACKGROUND: Concerns about disease and an increase in health anxiety levels are expected consequences of the COVID-19 pandemic. However, there have been few longitudinal studies of health anxiety in the general population during this time period. The aim of this study was to examine health anxiety levels before and during the COVID-19 pandemic in an adult, working population in Norway. MATERIAL AND METHODS: This study included 1012 participants aged 18-70 years with one or more measurements of health anxiety (1402 measurements total) from the pre-pandemic period (2015 to March 11, 2020) and/or during the COVID-19 pandemic (March 12, 2020 to March 31, 2022). Health anxiety was measured with the revised version of the Whiteley Index-6 scale (WI-6-R). We estimated the effect of the COVID-19 pandemic on health anxiety scores with a general estimation equation analysis, and age, gender, education, and friendship were included in subgroup analyses. RESULTS: We found no significant change in health anxiety scores during the COVID-19 pandemic compared to the pre-pandemic period in our adult, working population. A sensitivity analysis restricted to participants with two or more measurements showed similar results. Moreover, the effect of the COVID-19 pandemic on health anxiety scores was not significant in any subgroup analysis. CONCLUSION: Health anxiety remained stable, with no significant change observed between the pre-pandemic period and the first 2 years of the COVID-19 pandemic in an adult, working population in Norway.

The association between health anxiety, physical disease and cardiovascular risk factors in the general population - a cross-sectional analysis from the Tromsø study: Tromsø 7.

BACKGROUND: Health anxiety (HA) is defined as a worry of disease. An association between HA and mental illness has been reported, but few have looked at the association between HA and physical disease. OBJECTIVE: To examine the association between HA and number of diseases, different disease categories and cardiovascular risk factors in a large sample of the general population. METHODS: This study used cross-sectional data from 18,432 participants aged 40 years or older in the seventh survey of the Tromsø study. HA was measured using a revised version of the Whiteley Index-6 (WI-6-R). Participants reported previous and current status regarding a variety of different diseases. We performed exponential regression analyses looking at the independent variables 1) number of diseases, 2) disease category (cancer, cardiovascular disease, diabetes or kidney disease, respiratory disease, rheumatism, and migraine), and 3) cardiovascular risk factors (high blood pressure or use of cholesterol- or blood pressure lowering medication). RESULTS: Compared to the healthy reference group, number of diseases, different disease categories, and cardiovascular risk factors were consistently associated with higher HA scores. Most previous diseases were also significantly associated with increased HA score. People with current cancer, cardiovascular disease, and diabetes or kidney disease had the highest HA scores, being 109, 50, and 60% higher than the reference group, respectively. CONCLUSION: In our general adult population, we found consistent associations between HA, as a continuous measure, and physical disease, all disease categories measured and cardiovascular risk factors.

Health anxiety is an important driver of healthcare use.

BACKGROUND: Healthcare use is increasing, and health anxiety (HA) is recognized as an important associated factor. Previous research on the association between HA and healthcare use has mostly explored HA as a dichotomous construct, which contrasts the understanding of HA as a continuous construct, and compared healthcare use to non-use. There is a need for studies that examine the association between healthcare use and the continuum of HA in a general population. AIM: To explore the association between HA and primary, somatic specialist and mental specialist healthcare use and any differences in the association by level of healthcare use. METHODS: This study used cross-sectional data from the seventh Tromsø study. Eighteen thousand nine hundred sixty-seven participants aged 40 years or older self-reported their primary, somatic specialist and mental specialist healthcare use over the past 12 months. Each health service was categorized into 5 groups according to the level of use. The Whiteley Index-6 (WI-6) was used to measure HA on a 5-point Likert scale, with a total score range of 0-24. Analyses were conducted using unconstrained continuation-ratio logistic regression, in which each level of healthcare use was compared with all lower levels. Morbidity, demographics and social variables were included as confounders. RESULTS: HA was positively associated with increased utilization of primary, somatic specialist and mental specialist healthcare. Adjusting for confounders, including physical and mental morbidity, did not alter the significant association. For primary and somatic specialist healthcare, each one-point increase in WI-6 score yielded a progressively increased odds ratio (OR) of a higher level of use compared to all lower levels. The ORs ranged from 1.06 to 1.15 and 1.05 to 1.14 for primary and somatic specialist healthcare, respectively. For mental specialist healthcare use, the OR was more constant across levels of use, ranging between 1.06 and 1.08. CONCLUSIONS: In an adult general population, HA, as a continuous construct, was significantly and positively associated with primary, somatic specialist and mental healthcare use. A small increase in HA was associated with progressively increased healthcare use across the three health services, indicating that the impact of HA is more prominent with higher healthcare use.

Distribution of health anxiety in a general adult population and associations with demographic and social network characteristics.

BACKGROUND: Health anxiety (HA) is associated with increased risk of disability, increased health care utilization and reduced quality of life. However, there is no consensus on which factors are important for the level of HA. The aim of this study was to explore the distribution of HA in a general adult population and to investigate whether demographic and social factors were associated with HA. METHODS: This study used cross-sectional data from the seventh Tromsø study. A total of 18 064 participants aged 40 years or older were included in the analysis. The six-item Whiteley Index (WI-6) with a 5-point Likert scale was used to measure HA. Sociodemographic factors included age, sex, education, household income, quality of friendship and participation in an organized activity. RESULTS: HA showed an exponential distribution among the participants with a median score of 2 points out of 24 points. In total, 75% had a total score of 5 points or less, whereas 1% had a score >14 points. Education, household income, quality of friendship and participation in organized activity were significantly associated with HA. The variable quality of friendship demonstrated the strongest association with HA. CONCLUSION: Our study showed an exponential distribution of HA in a general adult population. There was no evident cut-off point to distinguish participants with severe HA based on their WI-6 score, indicating the importance of analysing HA as a complex, continuous construct. HA demonstrated strong associations with quality of friendship and participation in an organized activity.

Spasticity, gait, and balance in patients with multiple sclerosis: A cross-sectional study.

OBJECTIVE: More than 80% of people with multiple sclerosis (MS) are affected by spasticity. Spasticity is known to reduce quality of life and contribute to additional symptoms, such as pain and reduced mobility, but the association between spasticity, balance, and mobility has not yet been established. Our aim was to examine whether a relationship exists between spasticity in the lower limbs, balance, and gait, as well as to explore the involvement of different muscle groups. METHODS: This study employed a cross-sectional design. Thirty patients with MS were included. The Modified Ashworth Scale (MAS) was used to examine spasticity in the ankle plantar flexors, knee extensors, and hip adductors. Balance was measured using the Mini-Balance Evaluation Systems Test, and gait with the 2-Minute Walk Test. The participants were tested once with no additional follow-up. Spearman's correlation, recursive partitioning, and linear regression analyses were used to explore the association. RESULTS: A significant correlation between gait distance and spasticity in the ankle plantar flexors (ρ = -.69, p < .001) and knee extensors (ρ = -.45, p = .012) was observed. Balance significantly correlated with spasticity in ankle plantar flexors (ρ = -.69, p < .001), knee extensors (ρ = -.52, p = .003), and hip adductors (ρ = -.5, p = .005). The relationship between spasticity in ankle plantar flexors and hip adductors was significant, even from low levels of spasticity, whereas MAS score ≥ 2 was clinically correlated with a decrease in gait and balance function. Adjustments for sex, age, or years since diagnosis had only minor impact on the results. CONCLUSIONS: This study indicates that spasticity in the lower limbs is clinically significantly associated with mobility in people with MS.

Do Patients With Chronic Low Back Pain Benefit From Early Intervention Regarding Absence From Work?: A Randomized, Controlled, Single-Center Pilot Study.

STUDY DESIGN: A randomized, controlled, single-center pilot study. OBJECTIVE: The aim of this study was to investigate the feasibility of running a trial to explore if early intervention in individuals with chronic low back pain (CLBP) would lead to an early return to work (RTW) and reduce sick leave during 12 months of follow-up compared with patients on a 3-month waiting list. SUMMARY OF BACKGROUND DATA: Back pain is the reason for numerous absent days from work. In Norway, the government initiated a priority program, Earlier Return to Work (ERTW), to reduce work absences through early intervention. However, no proper evaluation has been performed on populations with CLBP. There is no consensus on how RTW should be measured. Only a few studies have examined how waiting time affects RTW. METHODS: Fifty-eight patients were included in the study. The group with early intervention was examined within 2 weeks, and the group on the waiting list was examined after 12 weeks. The intervention was identical in both groups and consisted of an outpatient, intensive back school. The data were obtained by questionnaire after 3, 6, and 12 months. The primary outcome was absence from work. RESULTS: The sample size in a full-scale study must comprise at least 382 patients on the basis of the assumptions in the pilot. In the pilot study, early intervention directly compared with an ordinary waiting list did not significantly affect the number of sick leave days after 12 months of follow-up. CONCLUSION: A prerequisite for launching a full-scale clinical trial is a redesign of the intervention, an improvement of procedures concerning inclusion and randomization, and finally a more precise definition of RTW. LEVEL OF EVIDENCE: 3.