Cohort profile: The prospective study on Chinese elderly with multimorbidity in primary care in Hong Kong

Prevalence of COVID-19 anxiety, geriatric anxiety, and related factors among the elderly in Quchan, Iran during the COVID-19 pandemic: a cross-sectional study

BACKGROUND

Anxiety is a prevalent mental disorder among the elderly, leading to discomfort, disability, increased expenses, reduced quality of life, and dysfunction. Consequently, this study was conducted to determine the prevalence of COVID-19 anxiety and geriatric anxiety, along with the factors influencing anxiety, in the elderly population served by urban healthcare centres in Quchan.

METHODS

This cross-sectional study involved 650 elderly individuals aged 60-95 years. The participants were selected using a two-stage cluster sampling method. Data were collected through three questionnaires: the Geriatric Anxiety Inventory (GAI), the Corona Disease Anxiety Scale (CDAS), and a questionnaire on factors contributing to anxiety. Data analysis was performed using simple and multiple regression with IBM SPSS 24.

RESULTS

The prevalence of geriatric anxiety among the elderly was 40.3%, while the prevalence of COVID-19 anxiety (moderate and severe) was 22.8%. Significant relationships were observed between geriatric anxiety and substance abuse, stressful life events, comorbidities, COVID-19 anxiety, financial support, loneliness, walking habits, and sleep patterns (P < 0.05).

CONCLUSION

COVID-19 anxiety and geriatric anxiety are prevalent concerns among the elderly. Factors like substance abuse, stressful life events, COVID-19-related anxiety, comorbidity, living alone, lack of financial support, and poor walking and sleeping habits, which affect anxiety in the elderly, it is essential to address these factors in life planning and provide services through relevant organisations, healthcare teams, and initiatives by the elderly themselves.

The Multimorbidity and Lifestyle Correlates in Chinese Population Residing in Macau: Findings from a Community-Based Needs Assessment Study

Multimorbidity has become one of the most pressing public health concerns worldwide. The objectives of this study were to understand the prevalence of multimorbidity and its relationship with lifestyle factors among Chinese adults in Macau, and to investigate the combined contribution of common lifestyle factors in predicting multimorbidity. Data were collected through face-to-face interviews using a self-reported questionnaire on common chronic diseases, lifestyle factors and sociodemographics. BMI, physical activity, drinking status, smoking status and sleep quality were assessed, and a composite lifestyle score (0 to 9 points) was calculated, and the higher the score, the healthier the lifestyle. A total of 1443 participants were included in the analysis, of whom 55.2% were female, 51.8% were middle aged or elderly and 30.5% completed tertiary education or higher. The prevalence of multimorbidity was 10.3%. The combination of hypertension and hyperlipidaemia was the most common (22.2%) multimorbidity among the participants with multimorbidity. After the adjustment of the covariates, it was found that the participants who were overweight (OR: 1.95, 95% CI: 1.18-3.20, p = 0.009) or obese (OR: 3.76, 95% CI: 2.38-5.96, p < 0.001), former drinkers (OR: 2.43, 95% CI: 1.26-4.69, p = 0.008), and those who reported poor sleep quality (OR: 2.25, 95% CI: 1.49-3.40, p < 0.001) had a high risk of developing multimorbidity. A one-unit increase in the lifestyle score was associated with a 0.33-times reduction in the risk of developing multimorbidity (OR: 0.67; 95% CI: 0.59-0.77, p < 0.001). A combination of lifestyle factors can influence a variety of multimorbidity among the Chinese adults in Macau. Thus, comprehensively assessing the combined contribution of several lifestyle factors in predicting multimorbidity is important.

Determinants of post-COVID-19 symptoms among adults aged 55 or above with chronic conditions in primary care: data from a prospective cohort in Hong Kong

Background

Primary care patients, especially those with an older age, are one of the most vulnerable populations for post-COVID-19 symptoms. Identifying predictors of post-COVID symptoms can help identify high-risk individuals for preventive care.

Methods

Out of 977 primary care patients aged 55 years or above with comorbid physical and psychosocial conditions in a prospective cohort in Hong Kong, 207 patients infected in the previous 5-24 weeks were included. The three most common post-COVID-19 symptoms (breathlessness, fatigue, cognitive difficulty), which lasted beyond the 4-week acute infection period, were assessed using items from the COVID-19 Yorkshire Rehabilitation Scale (C19-YRS), together with other self-reported symptoms. Multivariable analyses were conducted to identify predictors of post-acute and long COVID-19 symptoms (5-24 weeks after infection).

Results

The 207 participants had a mean age of 70.8 ± 5.7 years, 76.3% were female, and 78.7% had ≥2 chronic conditions. In total, 81.2% reported at least one post-COVID symptom (mean: 1.9 ± 1.3); 60.9, 56.5 and 30.0% reported fatigue, cognitive difficulty, and breathlessness respectively; 46.1% reported at least one other new symptom (such as other respiratory-related symptoms (14.0%), insomnia or poor sleep quality (14.0%), and ear/nose/throat symptoms (e.g., sore throat) (10.1%), etc.). Depression predicted post-COVID-19 fatigue. The female sex predicted cognitive difficulty. Receiving fewer vaccine doses (2 doses vs. 3 doses) was associated with breathlessness. Anxiety predicted a higher overall symptom severity level of the three common symptoms.

Conclusion

Depression, the female sex, and fewer vaccine doses predicted post-COVID symptoms. Promoting vaccination and providing intervention to those at high-risk for post-COVID symptoms are warranted.

Vaccine Resistance and Hesitancy among Older Adults Who Live Alone or Only with an Older Partner in Community in the Early Stage of the Fifth Wave of COVID-19 in Hong Kong

Vaccination is an effective way in providing protection against COVID-19 infection and severe outcomes. However, vaccine resistance and hesitancy are a great concern among vulnerable populations including older adults who live alone or only with an older partner. This study examined their vaccination status and reasons and associated factors of vaccine resistance and hesitancy. A cross-sectional study was conducted among older adults living alone or only with an older partner in communities in Hong Kong. Participants were interviewed between October 2021 and February 2022. Logistic regression analyses were employed to examine factors associated with vaccine resistance and hesitancy. Of the 2109 included participants, the mean age was 79.3 years (SD 7.6), 1460 (69.2%) were female, 1334 (63.3%) lived alone, and 1621 (76.9%) were receiving social security support. The vaccine uptake, non-uptake (i.e., resistance), and hesitancy rates were 50.1%, 34.4%, and 15.5%, respectively. The top four reasons for vaccine resistance and hesitancy were “Not feeling in good health” (27%), “Worry about vaccine side effects” (18%), “Feeling no need” (10%), and “Lack of recommendation from doctors” (9%). Vaccine resistance and hesitancy was significantly associated with older age, living alone, more chronic conditions, fewer types of social media use, and lower self-rated health status. Similar associations can be observed in their separate analysis for vaccine resistance and vaccine hesitancy, and ever hospital admission over the past 6 months was additionally related to vaccine hesitancy. Older people who live alone or only with an older partner had a low vaccination rate. Poor health or worry about vaccine side effects were the most common reasons for their vaccine resistance and hesitancy. Actions are greatly needed to improve the uptake rate among this vulnerable population, especially those who were older, have poorer health, and use less social media.

Frequency and types of clusters of major chronic diseases in 0.5 million adults in urban and rural China

Background

Little is known about the frequency and types of disease clusters involving major chronic diseases that contribute to multimorbidity in China. We examined the frequency of disease clusters involving major chronic diseases and their relationship with age and socioeconomic status in 0.5 million Chinese adults.

Methods

Multimorbidity was defined as the presence of at least two or more of five major chronic diseases: stroke, ischaemic heart disease (IHD), diabetes, chronic obstructive pulmonary disease (COPD) and cancer. Multimorbid disease clusters were estimated using both self-reported doctor-diagnosed diseases at enrolment and incident cases during 10-year follow-up. Frequency of multimorbidity was assessed overall and by age, sex, region, education and income. Association rule mining (ARM) and latent class analysis (LCA) were used to assess clusters of the five major diseases.

Results

Overall, 11% of Chinese adults had two or more major chronic diseases, and the frequency increased with age (11%, 24% and 33% at age 50-59, 60-69 and 70-79 years, respectively). Multimorbidity was more common in men than women (12% vs 11%) and in those living in urban than in rural areas (12% vs 10%), and was inversely related to levels of education. Stroke and IHD were the most frequent combinations, followed by diabetes and stroke. The patterns of self-reported disease clusters at baseline were similar to those that were recorded during the first 10 years of follow-up.

Conclusions

Cardiometabolic and cardiorespiratory diseases were most common disease clusters. Understanding the nature of such clusters could have implications for future prevention strategies.

Handgrip strength but not SARC-F score predicts cognitive impairment in older adults with multimorbidity in primary care: a cohort study

Background

Assessing motor function is a simple way to track cognitive impairment. We analysed the associations between cognitive and motor function and assessed the predictive value of two motor function measuring tools for cognitive impairment in older adults with multimorbidity in primary care settings.

Methods

We conducted a prospective cohort study with a 1 year follow-up. Patients aged ≥60 years with ≥2 morbidities were recruited from four primary care clinics. Motor function was assessed using handgrip strength and a sarcopenia screening scale (SARC-F). Cognitive function was measured using the Hong Kong Montreal Cognitive Assessment (HK-MoCA). We defined cognitive impairment as an HK-MoCA score < 22. The associations between cognitive and motor functions were examined from a bidirectional perspective.

Results

We included 477 participants (mean age 69.4, 68.6% female) with a mean (SD) HK-MoCA score of 25.5 (3.38), SARC-F score of 1.1 (1.36), and handgrip strength of 21.2 (6.99) kg at baseline. Multivariable linear regression models showed bidirectional cross-sectional associations of the HK-MoCA score and cognitive impairment with SARC-F score and handgrip strength at baseline and 1 year. Cox regression revealed a longitudinal association between baseline handgrip strength and cognitive impairment at 1 year (hazard ratio: 0.48, 95% CI 0.33–0.69) but no longitudinal association between SARC-F and cognitive impairment. Variation in the SARC-F score increased with decreasing HK-MoCA score (Brown–Forsythe test F statistic = 17.9, p < 0.001), while variability in the handgrip strength remained small (modified signed-likelihood ratio test, p < 0.001).

Conclusions

Primary healthcare providers may use handgrip strength to track cognitive function decline in older adults with multimorbidity. However, the SARC-F scale may not have the same predictive value. Further research is needed to evaluate the performance and variability of the SARC-F score in individuals with poor cognitive function.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03034-2.

Explaining the Psychosocial Effects of COVID-19 Among Older Hong Kong Chinese People-A Qualitative Analysis

BACKGROUND

Social distancing and "stay-at-home" orders are essential to contain the coronavirus outbreak; however, there are growing concerns about physical and other mental distress in older people. Apart from quantitative data, their feelings, thoughts, and experience are essential to inform the implementation of patient-centered health care policy.

AIM

This study explained the psychosocial effects of COVID-19 on Hong Kong Chinese older people.

DESIGN AND SETTING

This was a qualitative study. Twenty-three participants aged between 63 and 86 were recruited in primary care through purposive sampling.

METHOD

Semi-structured in-depth telephone interviews were conducted to explore participants' experience during the COVID-19 pandemic. Grounded theory was used to analyze the data.

RESULTS

Three themes, nine subthemes, and 24 quotes were identified. The 3 themes included the psychological response of fear, annoyance, and worrisome; social isolation leading to loneliness and physical exhaustion; and the coping strategies in adversity. Fear was the major emotional response, which was not entirely explained by the uncertainty of the disease, but also the embedded routines norms and values. Loneliness was aggravated by the depleted family and community support. Physical distancing had intensified ones physical demand on self-care, especially among those with comorbid illnesses. The use of digital tools and telecommunications maintained the social connection, but the overexposure had led to a vicious cycle of anxiety and distress.

CONCLUSION

Self-isolation has disproportionately affected older individuals whose only social contact is out of the home. Online technologies can be harnessed to provide social support networks and a sense of belonging, but its adaptive and positive uses should be encouraged. Interventions can also involve more frequent telephone contact with significant others, close family and friends, voluntary organizations, or health-care professionals, or community outreach teams. Enhancing the values of older people's in calamity through active engagement may also potentially reduce the detrimental effect of social isolation.

Memory complaints at primary care in a middle-income country: clinical and neuropsychological characterization

There are different causes of memory complaints in the elderly, such as subjective cognitive decline (SCD), mild cognitive impairment (MCI) or dementia.

Chronic musculoskeletal pain prospectively predicts insomnia in older people, not moderated by age, gender or co-morbid illnesses

The study evaluated if chronic musculoskeletal (MSK) pain predicts the severity of insomnia, and whether the effect is moderated by age, gender, and number of comorbid diseases in older people. An 18-month prospective study was performed within the framework of a community health program in Hong Kong. A total of 498 older people aged ≥ 60 with multimorbidity were recruited. The predictors included the presence of chronic MSK pain, pain measured by the Brief Pain Inventory (BPI), insomnia measured by baseline Insomnia Severity Index (ISI), and number of co-morbid diseases, age, and gender. The outcome was ISI repeated at 18 months. The moderators included age, gender, and number of comorbid diseases. Multivariate linear regression and moderation analysis were conducted. We found that the presence of chronic MSK pain (β = 1.725; 95% CI, 0.607-2.842; P < 0.01) predicted the severity of ISI, after controlling for age, gender, BMI, and the number of comorbid diseases. Participants with chronic MSK pain throughout the period had worse trend of improvement in ISI compared to those who were "pain-free" (β = 2.597; 95% CI, 1.311-3.882; P < 0.001). Age, gender, and number of comorbid diseases did not moderate the longitudinal relationship. We propose that pain management should prioritized in the prevention of insomnia.

Impact of COVID-19 on loneliness, mental health, and health service utilisation: a prospective cohort study of older adults with multimorbidity in primary care

BACKGROUND

The COVID-19 pandemic has impacted the psychological health and health service utilisation of older adults with multimorbidity, who are particularly vulnerable.

AIM

To describe changes in loneliness, mental health problems, and attendance to scheduled medical care before and after the onset of the COVID-19 pandemic.

DESIGN AND SETTING

Telephone survey on a pre-existing cohort of older adults with multimorbidity in primary care.

METHOD

Mental health and health service utilisation outcomes were compared with the outcomes before the onset of the COVID-19 outbreak in Hong Kong using paired t-tests, Wilcoxon's signed-rank test, and McNemar's test. Loneliness was measured by the De Jong Gierveld Loneliness Scale. The secondary outcomes (anxiety, depression, and insomnia) were measured by the 9-item Patient Health Questionnaire, the 7-item Generalized Anxiety Disorder tool, and the Insomnia Severity Index. Appointments attendance data were extracted from a computerised medical record system. Sociodemographic factors associated with outcome changes were examined by linear regression and generalised estimating equations.

RESULTS

Data were collected from 583 older (≥60 years) adults. There were significant increases in loneliness, anxiety, and insomnia, after the onset of the COVID-19 outbreak. Missed medical appointments over a 3-month period increased from 16.5% 1 year ago to 22.0% after the onset of the outbreak. In adjusted analysis, being female, living alone, and having >4 chronic conditions were independently associated with increased loneliness. Females were more likely to have increased anxiety and insomnia.

CONCLUSION

Psychosocial health of older patients with multimorbidity markedly deteriorated and missed medical appointments substantially increased after the COVID-19 outbreak.