Jenny Lee

BACKGROUND: To examine the trends in activities of daily living (ADL) disability in older Chinese adults in Hong Kong between 2001 and 2012. METHODS: Using data from the Elderly Health Centres (EHCs) of the Department of Health comprising a total of 54 808 community-dwelling Chinese adults aged ≥65 years in 1 early cohort (1904-1917) and 10 3-year birth cohorts (1918-1920, 1921-1923, 1924-1926, 1927-1929, 1930-1932, 1933-1935, 1936-1938, 1939-1941, 1942-1944, 1945-1947), we examined trends in ADL disability by using age-period-cohort (APC) models. ADL disability was defined as being unable to perform at least 1 of 7 ADL activities (bathing, dressing, toileting, transferring, feeding, grooming, walking) independently. Cross-classified random-effects logistic regressions were performed for each of the APC trends with adjustment for age, period, cohort, sociodemographic, lifestyle, comorbidity and self-rated health. RESULTS: The mean age of the cohort was 70.9±4.7 (range 65-99) years. The prevalence rate of ADL disability was 1.6%. ADL disability increased with age (p<0.001) and the gradient of the increase was steeper in the older age groups. At the same age, women (1.7%) were more likely to report ADL disability than men (1.4%, p=0.001). For both genders, there was an increase in ADL disability between 2003 and 2012; adjustment for age, cohort and other covariates has diminished the trends observed among men. There was no cohort effect in ADL disability. CONCLUSIONS: ADL disability in older adults has increased over the last decade. Further study is required to identify possible causes behind the disability trends.

AIM: We documented the number of falls and falls risk profile over two years to derive a falls risks prediction score. BACKGROUND: Simple falls risk assessment tools not requiring equipment or trained personnel may be used as a first step in the primary care setting to identify older people at risk who may be referred for further falls risk assessment in special clinics. DESIGN: Survey. METHOD: Men (n = 1941) and 1949 women aged 65 years and over living in the community were followed up for two years to document the number of falls. Information was collected regarding demography, socioeconomic status, medical history, functional limitations, lifestyle factors and psychosocial functioning. Measurements include body mass index, grip strength and stride length. Logistic regression was used to determine significant predictions of falls and to calculate predictive scores. RESULT: Twelve factors in men and nine factors in women were used to construct a risk score. The AUC of the receiver operating characteristic curve was >0.70 for both men and women and a cut off score of >or=8 gave sensitivity and specificity values between 60-78%. The factors included chronic disease, drugs, functional limitation, lifestyle, education and psychosocial factors. When applied to future predictions, only low energy level and clumsiness in both hands in men and feeling downhearted in women, were significant factors. CONCLUSIONS: A risk assessment tool with a cut off score of >or=8 developed from a two-year prospective study of falls may be used in the community setting as an initial first step for screening out those at low risk of falls. RELEVANCE TO CLINICAL PRACTICE: A simple tool may be used in the community to screen out those at risk for falls, concentrating trained healthcare professionals' time on detailed falls assessment and intervention for those classified as being at risk.

Lifestyle-related diseases have common risk factors: physical inactivity, poor diet, inadequate sleep, high stress, substance use, and social isolation. Evidence is mounting for the benefits of incorporating effective methods that promote healthy lifestyle habits into routine health care treatments. Research has established that healthy habits foster psychological and physiological health and that emotional well-being is central to achieving total well-being. The Happiness Science and Positive Health Committee of the American College of Lifestyle Medicine aims to raise awareness about strategies for prioritizing emotional well-being. The Committee advocates for collaborative translational research to adapt the positive psychology and behavioral medicine evidence base into methodologies that address emotional well-being in nonmental health care settings. Another aim is to promote health system changes that integrate evidence-based positive-psychology interventions into health maintenance and treatment plans. Also, the Committee seeks to ameliorate health provider burnout through the application of positive psychology methods for providers' personal health. The American College of Lifestyle Medicine and Dell Medical School held an inaugural Summit on Happiness Science in Health Care in May 2018. The Summit participants recommended research, policy, and practice innovations to promote total well-being via lifestyle changes that bolster emotional well-being. These recommendations urge stakeholder collaboration to facilitate translational research for health care settings and to standardize terms, measures, and clinical approaches for implementing positive psychology interventions. Sample aims of joint collaboration include developing evidence-based, practical, low-cost behavioral and emotional assessment and monitoring tools; grants to encourage dissemination of pilot initiatives; medical record dashboards with emotional well-being and related aspects of mental health as vital signs; clinical best practices for health care teams; and automated behavioral programs to extend clinician time. However, a few simple steps for prioritizing emotional well-being can be implemented by stakeholders in the near-term.