Health-related quality of life in the Cambridge City over-75s Cohort (CC75C): development of a dementia-specific scale and descriptive analyses

Determinants of quality of life among people with dementia: evidence from a South Asian population

BACKGROUND

Dementia has become a public health priority along with population aging worldwide. Owing to its chronic progressive nature in the absence of a cure, maintaining the best possible quality of life (QOL) has become the desired outcome for people with dementia (PWD).

AIM

The current study aimed to determine the factors associated with 'good QOL' in people with dementia in the Sri Lankan setting.

METHODS

An unmatched case-control study was conducted to identify the factors associated with 'good QoL. Cases in the study included dementia patients having 'good' QOL, whereas controls were those having 'poor' or 'average' QOL. Both cases and controls were selected from the same patient base at a premier tertiary care state hospital in Colombo District, Sri Lanka. They were identified using the validated DEMQOL (Dementia Specific Quality of Life) tool, adhering to strict eligibility criteria. An interviewer-administered questionnaire was used to assess the associated factors. Bivariate analysis followed by logistic regression modelling determined the associated factors for 'good QOL' adjusted for confounders using odds ratio (OR) and 95% confidence interval (CI).

RESULTS

The study sample consisted of 64 cases and 208 controls. After adjusting for confounders, education up to GCE O/Level and above (OR = 4.02; 95% CI = 2.97, 12.0), ever employed (OR = 3.21; 95% CI = 1.59, 11.06), good social functioning (OR = 4.14; 95% CI = 3.39, 16.46), mild functional impairment (OR = 1.77; 95% CI = 1.13, 9.67), little or no caregiver burden (OR = 2.96; 95% CI = 1.86, 10.94), absence of apathy (OR = 2.22; 95% CI = 1.27, 12.48) and absence of irritability (OR = 2.17; 95% CI = 1.72, 10.34) were found to be significantly associated with 'good QOL'. 60% of the variance of 'good' QOL among PWD was explained by the factors in the final model. CONCLUSIONS AND RECOMMENDATIONS: The identified determinants of 'good QOL' clearly show how the QOL improvement interventions need to be planned. Accordingly, such programmes should be primarily focused on strategies to improve PWDs' ADL (Activities of Daily living), reduce and manage neuropsychiatric symptoms effectively and to promote activities enhancing social functioning, and plan programmes to address caregiver burden.

A French-Greek Cross-Site Comparison Study of the Use of Automatic Video Analyses for the Assessment of Autonomy in Dementia Patients

Background: At present, the assessment of autonomy in daily living activities, one of the key symptoms in Alzheimer’s disease (AD), involves clinical rating scales. Methods: In total, 109 participants were included. In particular, 11 participants during a pre-test in Nice, France, and 98 participants (27 AD, 38 mild cognitive impairment—MCI—and 33 healthy controls—HC) in Thessaloniki, Greece, carried out a standardized scenario consisting of several instrumental activities of daily living (IADLs), such as making a phone call or preparing a pillbox while being recorded. Data were processed by a platform of video signal analysis in order to extract kinematic parameters, detecting activities undertaken by the participant. Results: The video analysis data can be used to assess IADL task quality and provide clinicians with objective measurements of the patients’ performance. Furthermore, it reveals that the HC statistically significantly outperformed the MCI, which had better performance compared to the AD participants. Conclusions: Accurate activity recognition data for the analyses of the performance on IADL activities were obtained.

Evaluation of the reliability and validity for X16 balance testing scale for the elderly

Background

Balance performance is considered as an indicator of functional status in the elderly, a large scale population screening and evaluation in the community context followed by proper interventions would be of great significance at public health level. However, there has been no suitable balance testing scale available for large scale studies in the unique community context of urban China.

Methods

A balance scale named X16 balance testing scale was developed, which was composed of 3 domains and 16 items. A total of 1985 functionally independent and active community-dwelling elderly adults’ balance abilities were tested using the X16 scale. The internal consistency, split-half reliability, content validity, construct validity, discriminant validity of X16 balance testing scale were evaluated.

Results

Factor analysis was performed to identify alternative factor structure. The Eigenvalues of factors 1, 2, and 3 were 8.53, 1.79, and 1.21, respectively, and their cumulative contribution to the total variance reached 72.0%. These 3 factors mainly represented domains static balance, postural stability, and dynamic balance. The Cronbach alpha coefficient for the scale was 0.933. The Spearman correlation coefficients between items and its corresponding domains were ranged from 0.538 to 0.964. The correlation coefficients between each item and its corresponding domain were higher than the coefficients between this item and other domains. With the increase of age, the scores of balance performance, domains static balance, postural stability, and dynamic balance in the elderly declined gradually (P < 0.001). With the increase of age, the proportion of the elderly with intact balance performance decreased gradually (P < 0.001).

Conclusions

The reliability and validity of the X16 balance testing scale is both adequate and acceptable. Due to its simple and quick use features, it is practical to be used repeatedly and routinely especially in community setting and on large scale screening.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0803-6) contains supplementary material, which is available to authorized users.

Characteristics Associated with Quality of Life in Long-Term Care Residents with Dementia: A Cross-Sectional Study

BACKGROUND

To determine which characteristics are associated with quality of life (QOL) in residents with moderate to very severe dementia in long-term care facilities (LTCFs).

MATERIAL AND METHODS

This was a cross-sectional analysis of a cluster randomized controlled study in 12 Dutch LTCFs that enrolled 288 residents, with moderate to severe dementia assessed with the Reisberg Global Deterioration Scale (Reisberg GDS) and QOL with the QUALIDEM. Characteristics that were hypothesized to be associated with the six domains of QOL (applicable to very severe dementia) included demographic variables, activities of daily living (Katz ADL), cognitive performance (Cognitive Performance Scale; CPS), pain (Pain Assessment Checklist for Seniors with Limited Ability to Communicate; PACSLAC-D), neuropsychiatric symptoms (Neuropsychiatric Inventory-Nursing Home Version; NPI-NH) and comorbidities.

RESULTS

Multivariate logistic regression modelling showed associations with age in the domain Social isolation [odds ratio, OR, 0.95 (95% confidence interval, CI, 0.91-0.99)], ADL level in the domain Positive affect [OR 0.89 (95% CI 0.83-0.95)] and the domain Social relations [OR 0.87 (95% CI 0.81-0.93)], severity of dementia in the domain Social relations [OR 0.28 (95% CI 0.12-0.62)] and in the domain Social isolation [OR 2.10 (95% CI 1.17-3.78)], psychiatric disorders in the domain Positive affect [OR 0.39 (95% CI 0.17-0.87)] and pulmonary diseases in the domain Negative affect [OR 0.14 (95% CI 0.03-0.61)] of the QUALIDEM. Neuropsychiatric symptoms were independently associated with all six domains of the QUALIDEM [OR 0.93 (95% CI 0.90-0.96) to OR 0.97 (95% CI 0.95-0.99)]. Pain was associated with the domains Care relationship [OR 0.92 (95% CI 0.84-1.00)] and Negative affect [OR 0.92 (95% CI 0.85-1.00)].

CONCLUSION

QOL in dementia is independently associated with age, ADL, dementia severity, pain, psychiatric disorders, pulmonary diseases and neuropsychiatric symptoms. It is possible to detect persons with dementia at risk for a lower QOL. This information is important for developing personalized interventions to improve QOL in persons with dementia in LTCFs.