Person-Environment Fit Approach to Trajectories of Cognitive Function Among Older Adults Who Live Alone: Intersection of Life-Course SES Disadvantage and Senior Housing

Personal Competence or Environmental Characteristics? Factors Influencing Happiness among Ageing Adults in Hong Kong Around the Period of COVID-19 Pandemic

Drawing upon person-environment fit perspective, this study examines the joint and interactive influences of personal competence and environmental characteristics on the happiness of ageing adults around the period of COVID-19 pandemic. Data was collected in two rounds, before and during the pandemic, with 2,028 participants aged 55 years and older in Hong Kong. Personal competence encompassed financial status, physical health, and mental capital, while environmental characteristics included experiences of ageism, perceived social conditions, and age-friendly policies. Ordinary least squares regression was used to examine personal and environmental influences on happiness. Results indicated a significant decline in happiness following the onset of COVID-19 pandemic. Mental capital was found to have the strongest positive influence on happiness, followed by physical health, financial status, and social conditions. Mental capital mitigated the negative relationship between experiences of ageism and happiness. Practical interventions are informed to improve the well-being of ageing adults during pandemic.

Links between life-course SES and frailty trajectory moderated by community environment resources: Person-environment Fit perspective

INTRODUCTION

Drawing from the life course and person-environment fit perspectives, this study examined whether life-course SES disadvantages during childhood, adulthood and old- age influence frailty development in late- life and how community environment resources moderated the association between life-course SES disadvantages and frailty trajectories over a seven-year follow-up period.

METHODS

Data from 11,675 participants aged ≥ 50 years at baseline who participated in the four waves (2011-2018) of the China Health and Retirement Longitudinal Survey (CHARLS) were used. Life-course SES disadvantages were self-reported, and community environment resources (basic infrastructure and voluntary organizations) were ascertained from informed officials in the community. Frailty development was measured at each wave by the Frailty Index (FI) based on 39 potential deficits. Multilevel growth modeling was used to examine the interactive effect of life-course SES disadvantages and community environment resources on frailty development.

RESULTS

Life-course SES disadvantage exerted cumulatively negative effects on frailty trajectory, and individuals with SES disadvantages in two or three life stages reported higher initial levels of and faster increases in frailty scores. Community environmental resources (basic infrastructure and voluntary organizations) had a protective effect on frailty development and buffered the negative effects of SES vulnerability experiences accumulated over the life course. Community basic infrastructure resources played an important role in slowing the progression of frailty for individuals with cumulative SES disadvantage and downward mobility.

DISCUSSION

Our findings provided new evidence of person-environmental docility among older adults, documenting the role of community resources in buffering SES disparities in health during later-life.

Relationships among oral hygiene behavior, toothache, and depressive symptoms in Chinese older adults

OBJECTIVES

The study aims to investigate the relationships among oral hygiene behavior, toothache, and depression among Chinese older adults.

METHODS

We used data came from the 2018 wave of Chinese Longitudinal Healthy Longevity Survey (CLHLS). The Center for Epidemiologic Studies Depression Scale was used to evaluate depression. Binary logistic regression was performed to analyze the relationships among oral hygiene behavior, toothache, and depression.

RESULTS

A total of 12,172 older adults were included in the study, of whom 27.2% had depression. Compared with those who did not brush their teeth daily, those who brushed their teeth at least once daily exhibited lower odds of having depressive symptoms (odds ratio [OR] = 0.86, 95% confidence interval [CI] = 0.77-0.97 versus OR = 0.81, 95% CI = 0.71-0.93). Compared with those who did not have toothache, those who had toothache over the past 6 months exhibited higher odds of having depression (OR = 1.49, 95% CI = 1.33-1.68). Living arrangement had a significant effect on the correlation between toothache and depression (p = 0.049), who lived alone and had toothache exhibited higher odds of having depressive symptoms.

CONCLUSIONS

Oral hygiene behavior and toothache are associated with depression. Taking effective measures to maintain a daily toothbrushing pattern and reduce the occurrence of toothache may mitigate the risk of depression among older adults, especially among those living alone.

CLINICAL RELEVANCE

The present study reports that the potential relationship between different oral hygiene behavior, toothache, and depressive symptoms.

Are Your Participants Real? Dealing with Fraud in Recruiting Older Adults Online

The internet offers exciting opportunities for quick, cost-efficient, and widespread recruitment and data collection without face-to-face contact. Previous research has demonstrated success in reaching population subgroups not typically included in traditional recruitment methods, yet challenges in data quality protection remain paramount. This article describes using Amazon Mechanical Turk, Facebook groups, and email distribution lists to recruit older adults who live alone for a quantitative study using a cross-sectional online survey. Fraudulent survey takers became a major concern in this study, and a protocol was developed to identify and exclude suspicious data. Of 738 recorded participants, 117 responses were retained in the final sample. The majority of sham responses were collected from Facebook with the fewest number of issues identified in responses collected via targeted emailing. Implications for survey design, data analysis, and future research are discussed.

Development and assessment of a home environment checklist to evaluate mismatch between patients' ability and home environment

BACKGROUND

Modification of the home environment, together with rehabilitative interventions, is important for maximizing the level of functioning after an individual with disability undergoes rehabilitation in the hospital.

OBJECTIVES

We developed a simple screening scale - the home environment checklist (HEC) - to identify any mismatch between an individual's abilities and their home environment to help clinicians monitor the appropriateness of the home environment to which individuals with disability will be discharged. We also examined the psychometric properties of the HEC.

METHODS

The HEC was developed by a multidisciplinary panel of rehabilitation experts using information routinely collected in rehabilitation clinics before discharge. The reliability of the checklist was assessed in 60 individuals undergoing rehabilitation. The inter-rater agreement and internal consistency of the scale were assessed by weighted kappa statistics and Cronbach's alpha, respectively. Rasch analysis was performed with 244 rehabilitation individuals to evaluate the internal construct validity, and the known-groups validity was confirmed by a comparison of the daily activity levels of 30 individuals with disabilities under rehabilitation to the HEC score.

RESULTS

The HEC was developed as a simple, 10-item checklist. The weighted kappa statistics ranged from 0.73 to 0.93, indicating excellent inter-rater reliability. Cronbach's alpha was 0.92, indicating high internal consistency. Rasch analysis with a testlet approach on 3 subscales demonstrated a good fit with the Rasch model (χ²=13.2, P=0.153), and the demonstrated unidimensionality and absence of differential item functioning supported the internal construct validity of the HEC. HEC scores were significantly different (P<.01) among individuals with disability and 3 levels of restrictions in their activities (no limitation, home-bound, and bed-bound), which demonstrates the known-groups validity of the HEC.

CONCLUSIONS

The HEC has good reliability and validity, which supports its utility in rehabilitation clinics.