Working retirees in Taiwan: examining determinants of different working status after retirement.

This study aims to investigate the factors influencing the work status of retirees after retirement, especially focusing on self-employment and unpaid work. Data was taken and analyzed from the "Taiwan Health and Retirement Study," a nationally representative sample of retired personnel aged 50-74 in 2015-2016. Four types of work status were classified after retirement: Fully retired, Paid work, Self-employment, and Unpaid work. Multinomial regression analysis was used to explore the factors related to participation in paid, self-employed, and unpaid work. Results show that pre-retirement occupation was significantly associated with paid work after retirement. For example, retirees in Taiwan who were employed by private enterprises or self-employed before retirement were more likely to engage in paid work after retirement than civil servants before retirement. Two other factors, namely pre-retirement job stress and work flexibility, prolong the careers of retired workers, especially in self-employment and unpaid work after retirement. Gender also significantly affects the choice of work after retirement. These findings can be used as a reference for future policies on the aging labor force.

The middle-aged and older Chinese adults' health using actigraphy in Taiwan (MOCHA-T): protocol for a multidimensional dataset of health and lifestyle.

BACKGROUND AND OBJECTIVES: Older adults keep transforming with Baby Boomers and Gen Xers being the leading older population. Their lifestyle, however, is not well understood. The middle-aged and older Chinese adults' health using actigraphy in Taiwan (MOCHA-T) collected both objective and subjective data to depict the health and lifestyle of this population. The objectives, design, and measures of the MOCHA-T study are introduced, and the caveats and future directions related to the use of the data are presented. METHODS: People aged 50 and over were recruited from the community, with a subset of women aged 45-49 invited to supplement data on menopause and aging. Four instruments (i.e., self-reported questionnaires, diary, wrist actigraphy recorder, and GPS) were used to collect measures of sociodemographic, health, psychosocial, behavioral, temporal, and spatial data. RESULTS: A total of 242 participants who returned the informed consent and questionnaires were recruited in the MOCHA-T study. Among them, 94.6%, 95.0%, and 25.2% also completed the diary, actigraphy, and GPS data, respectively. There was almost no difference in sociodemographic characteristics between those with and without a completed diary, actigraphy, and GPS data, except for age group and educational level for those who returned completed actigraphy data. CONCLUSION: The MOCHA-T study is a multidimensional dataset that allows researchers to describe the health, behaviors, and lifestyle patterns, and their interactions with the environment of the newer generation of middle-aged and older adults in Taiwan. It can be compared with other countries with actigraphy and GPS-based lifestyle data of middle-aged and older adults in the future.

Behavioral and Psychological Factors in Buffering Diabetes-related Disability Development.

BACKGROUND: Diabetes is associated with disability development. Healthy behaviors and psychosocial support can help patients manage their disease. PURPOSE: To examine the role of various behavioral and psychological factors in buffering the effect of diabetes on disability development over time in Taiwanese adults. METHODS: Data on 5,131 adults aged ≥50 years were obtained from the Taiwan Longitudinal Study on Aging. A cohort sequential multilevel design was employed to analyze the association between behavioral and psychosocial factors and the risk of disability over a 11-year period. RESULTS: In patients with diabetes, having social support and exercising more than six times a week were associated with 4% and 49% reductions in the risk of disability, respectively (ßdiabetes*socialsupport = -0.285, p = .006; ßdiabetes*exercise3 = -2.612, p = .007). Exercising more than six times a week had an additional significant protective effect against disability development per year (ßdiabetes*exercises3*age = -0.241, p = .038). Depression did not significantly interact with diabetes. However, a trajectory analysis revealed that individuals who had both diabetes and depression had the highest disability score from middle age among all participants. CONCLUSIONS: Engaging in frequent exercise is the most influential factor for reducing the risk of disability in patients with diabetes. Social support provides an additional benefit for disability prevention in individuals with diabetes.

Diabetes can lead to several diseases that affect the heart, vessels, brain, kidneys, and nerves. These diseases can cause disabilities in people with diabetes. Disabilities among people with diabetes lead to higher death rates, depression, and poor life quality. All these have become a great burden to our public health care system. Several past studies let us know healthy behaviors and good social support have positive effects on reducing complications of diabetes. Healthy behaviors, such as healthy diets, regular exercises, and proper stress management. Good social support and participation are known to reduce dementia in people with diabetes. However, it remains unclear about interactions and exact associations among all these factors. This study was designed to find out how health behaviors and social support help people with diabetes reduce the risks of disabilities. By analyzing data from Taiwan Longitudinal Study on Aging, we found that exercising more than six times a week reduced disability risk the most for people with diabetes. Social support, although not as effective as exercising, provided additional positive effects to reducing disability risks of people with diabetes.

Incorporating gerontological and geriatrics information into picture books for 9-12 year-old children: A stakeholder engagement design.

This study explored the preferences of different stakeholders when translating geriatrics and gerontology concepts into children's picture books, with the aim of developing a feasible model. Following the stakeholder engagement design and qualitative method, three types of stakeholders were enrolled: medical and educational professionals (n = 9), older adults aged over 65 (n = 9), and children aged 9 to 12 (n = 7). Individual interviews and focus groups were used to collect the views of the stakeholders as a basis for revising the picture book, as well as to analyze the opinions of different stakeholders. Results show that medical professionals' recommendations focused on intellectual content (18.0%) and written verbal narratives (16.5%). Education experts tended to recommend textual verbal narratives (18.8%) and storyline (6.0%). Older adults's suggestions focused on story content (6.8%) and included detailed descriptions of older adults. Children's suggestions were focused on plot arrangement (2.3%) and text size (2.3%). Mean scores for the appropriateness of the three picture book materials increased after the stakeholder engagement, with the communication literacy picture book achieved statistical significance (p = .042). It is concluded that the stakeholder engagement design is a viable development model for achieving intergenerational understanding, realistic and theoretical goals, and bridging heterogeneity across the stakeholders.

Integrating domain knowledge with machine learning to detect obstructive sleep apnea: Snore as a significant bio-feature.

Our study's main purpose is to emphasise the significance of medical knowledge of pathophysiology before machine learning. We investigated whether combining domain knowledge with machine learning results might increase accuracy and minimise the number of bio-features used to detect obstructive sleep apnea (OSA). The present study analysed data on 36 self-reported symptoms and 24 clinical features obtained from 3,495 patients receiving polysomnography at a regional hospital and a medical centre. The area under the receiver operating characteristic (AUC) curve was used to evaluate patients with and without moderate or severe OSA using three prediction models on the basis of various estimation methods: the multiple logistic regression (MLR), support vector machine (SVM), and neural network (NN) methods. Odds ratios stratified by gender and age were also measured to account for clinicians' common sense. We discovered that adding the self-reported snoring item improved the AUC by 0.01-0.10 and helped us to rapidly achieve the optimum level. The performance of four items (gender, age, body mass index [BMI], and snoring) was comparable with that of adding two or more items (neck and waist circumference) for predicting moderate to severe OSA (Apnea-Hypopnea Index ≥15 events/hr) in all three prediction models, demonstrating the medical knowledge value of pathophysiology. The four-item test sample AUCs were 0.83, 0.84, and 0.83 for MLR, SVM, and NN, respectively. Participants with regular snoring and a BMI of ≥25 kg/m2 had a greater chance of moderate to severe OSA according to the stratified adjusted odds ratios. Combining domain knowledge into machine learning could increase efficiency and enable primary care physicians to refer for an OSA diagnosis earlier.

Loneliness and isolated living status in middle-aged and older adults in Taiwan: exploration on stress-related biomarkers, depressive symptoms, and disability.

PURPOSE: Loneliness is a subjective feeling by which an individual perceives a lack of closeness in interpersonal relationships. An isolated living status is linked with higher odds of risky health behavior. The conflicting impacts of loneliness and isolated living status on stress-related biomarkers, depressive symptoms, and disability remain unexplained. METHODS: Six hundred twenty-nine participants aged 66.0 (SD=7.3) separated into four groups: "Lonely and Isolated," "Not Lonely, but Isolated," "Lonely, but Not Isolated," and "Neither Lonely, nor Isolated," were retrieved from the Social Environment and Biomarkers of Aging Study conducted in 2000. Follow-up health indicators in 2006 included three stress-related biomarkers, depressive symptoms, and two physical disability indicators. A hierarchical regression was performed for the analysis. RESULTS: Firstly, compared to the "Neither Lonely nor Isolated" group, only the "Lonely, but Not Isolated" participants at baseline retained positive associations with the stress-related biomarkers levels 6 years later (urine cortisol level (B=9.25, 95% CI=3.24-15.27), serum Interleukin-6 level (B=2.76, 95% CI=0.72-4.79) and the serum high sensitivity C-reactive protein (hsCRP) level (B=0.40, 95% CI=0.17-0.62)). However, such associations were not observed in the "Lonely and Isolated" participants. Secondly, only "Lonely and Isolated" participants at baseline were positively associated with depressive symptoms 6 years later (B=1.70, 95% CI=0.11-3.30). Finally, the associations between combinations of loneliness and isolated living status and physical disability were eliminated after adjusting the covariables. CONCLUSION: Four combinations of loneliness and isolated living status were associated with different impacts on stress-related biomarkers, depressive symptoms, and physical disability. Further dynamic investigations are warranted.

Trends and biopsychosocial correlates of physical disabilities among older men and women in Taiwan: examination based on ADL, IADL, mobility, and frailty.

BACKGROUND: This study examines correlates of disabilities related to ADL, IADL, mobility, and frailty in men and women with a nationally representative sample of older adults living in the community. METHODS: A total of 10,898 noninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the 2001 (N = 2,064), 2005 (N = 2,727), 2009 (N = 2,904), and 2013 (N = 3,203) National Health Interview Survey (NHIS) were analyzed. RESULTS: The prevalence of mobility disabilities and frailty in older adults in Taiwan decreased during the past decade ([Formula: see text], [Formula: see text]). Exercise, social engagement, and tea and coffee intake were found to be associated with lower levels of all types of disabilities in both men and women. In addition, a diet based on carbohydrates, falls, depressive symptomatology, lung and metabolic diseases were risks for most of the disabilities under consideration. Gender-specific independent correlates included: being married (OR = 0.63, 95%CI: 0.40-0.98), eggs/beans/fish/meat consumption (OR = 0.35, 95% CI = 0.16-0.80); depressive symptoms, obesity and cataracts, which were associated with higher IADL (OR = 3.61, 1.63, and 1.18, respectively) and frailty limitations (OR = 10.89, 1.27, and 1.20, respectively) in women. Cognitive impairment was found to be an important correlate for ADL limitations in men (OR = 3.64, 95%CI: 2.38-5.57). CONCLUSIONS: Exercise, social participation and diet (more tea and coffee intake and lower carbohydrates) were correlates for lower levels of disability. Some gender-specific correlates were also identified, including associations of disability with depressive symptoms, obesity, and cataracts that were more distinct in women, and lower levels of disability which were especially significant in men who were married, eat more eggs, beans, fish, and meat, and those free from cognitive impairment.

Disability trajectories prior to death for ten leading causes of death among middle-aged and older adults in Taiwan.

BACKGROUND: Prolonged life expectancy is associated with increased prevalence of chronic diseases. The aim of this study was to determine the different disability trajectories for the top ten leading causes of death in Taiwan . METHODS: A total of 2,431 participants aged 50-96 in 1996 from the Taiwan longitudinal study on aging (TLSA) who died from 1996 to 2016 were analyzed. Integration of Cause of Death Data and TLSA helped sort out participants who had died from the ten leading causes of death. The level of physical disability was evaluated with the Activities of Daily Living Scale (ADLs), ranging from 0 to 6 points, in 1996, 1999, 2003, 2007, and 2011. A multilevel model was used to investigate the levels and rates of change in disability development before death. RESULTS: The outcome of the research showed that the earliest group to experience physical limitation was individuals living with diabetes. The groups with the highest ADL scores were participants with diabetes, cerebrovascular disease, and hypertension-related diseases. Most groups reach ADL scores ≥ 1 (mild-level) during 4-6 years before death except chronic hepatitis and cirrhosis and injury. CONCLUSIONS: People who had died from the ten leading causes of death experienced different disability trajectories before death. The trajectory of the participants who had died from diabetes showed a unique pattern with the earliest occurrence and more severe deterioration in terms of development of disabilities. Disability trajectories provide a prediction of survival status for middle-aged and older adults associated with the ten leading causes of death.

Disease-related disability burden: a comparison of seven chronic conditions in middle-aged and older adults.

BACKGROUND: Although previous studies have explored the effect of chronic conditions on physical disability, little is known about the levels and rates of change in physical disability after a chronic condition diagnosis in middle-aged and older adults in the Asian population. The aim of this study is to ascertain the average levels and rates of change in the development of disability after disease diagnosis, as well as to determine the influences of sociodemographic and health-related correlates in the development of disability. METHODS: This is a retrospective cohort study analyzing data of nationally representative participants aged 50 and over with a chronic condition or having developed one during follow-ups based on data from the 1996-2011 Taiwan Longitudinal Study on Aging (TLSA) (n = 5131). Seven chronic conditions were examined. Covariates included age at initial diagnosis, gender, education level, number of comorbidities, and depression status. Physical disability was measured by combining self-reported ADL, IADL, and strength and mobility activities with 17 total possible points, further analyzed with multilevel modeling. RESULTS: The results showed that (1) physical disability was highest for stroke, followed by cancer and diabetes at the time of the initial disease diagnosis. (2) The linear rate of change was highest for stroke, followed by lung disease and heart disease, indicating that these diseases led to higher steady increases in physical disability after the disease diagnosis. (3) The quadratic rate of change was highest in diabetes, followed by cancer and hypertension, indicating that these diseases had led to higher increments of physical disability in later stage disease. After controlling for sociodemographic and comorbidity, depression status accounted for 39.9-73.6% and 37.9-100% of the variances in the physical disability intercept and change over time, respectively. CONCLUSIONS: Despite the fact that a comparison across conditions was not statistically tested, an accelerated increase in physical disabilities was found as chronic conditions progressed. While stroke and cancer lead to disability immediately, conditions such as diabetes, cancer, and hypertension give rise to higher increments of physical disability in later stage disease. Mitigating depressive symptoms may be beneficial in terms of preventing disability development in this population.

Needs and Preferences of Middle-Aged and Older Adults in Taiwan for Companion Robots and Pets: Survey Study.

BACKGROUND: In recent years, robots have been considered a new tech industry that can be used to solve the shortage in human resources in the field of health care. Also, animal-assisted therapy has been used to provide assistance, companionship, and interaction among the elderly and has been shown to have a positive impact on their emotional and psychological well-being. Both pets and robots can provide dynamic communication and positive interaction patterns. However, preferences for middle-aged and older adults in this regard are not clear. OBJECTIVE: This study explored the degree of acceptance of robots and pets as partners in later life and to determine the needs and preferences of elderly individuals related to companion robots. METHODS: A total of 273 middle-aged and older adults aged ≥45 years and living in the community were invited to answer a structured questionnaire after watching a companion robot video. Sociodemographic data, physical health status and activities, experience with technology, eHealth literacy, and acceptance and attitude toward robots and pets were recorded and analyzed using multinomial logistic regression analysis. RESULTS: Age, level of education, type of dwelling, occupation, retirement status, number of comorbidities, experience with pets, experience using apps, and eHealth literacy were significantly associated with acceptance of robots and pets. Middle-aged and older women preferred robots with an animal-like appearance, while men preferred robots that resembled a human adult. In terms of robot functions, participants preferred a companion robot with dancing, singing, storytelling, or news-reporting functions. Participants' marital status and whether or not they lived alone affected their preference of functions in the companion robot. CONCLUSIONS: Findings from this study inform the development of social robots with regard to their appearance and functions to address loneliness in later life in fast-aging societies.

Understanding public interest and needs in health policies through the application of social network analysis on a governmental Facebook fan page.

BACKGROUND: This study analyzed the interactions between agencies, policies, and the interest of the public using a social network analysis. METHODS: Open data on the 2017 Facebook fan page of the Ministry of Health and Welfare (MoHW) in Taiwan, including 18,193 messages, were analyzed by conducting a social network analysis, NodeXL (Network Overview, Discovery and Exploration for Excel), creating visualized explorations using size volumes to present the degree of strength between agencies and policies to further calculate the network centrality indicators of agencies and policies. RESULTS: Agencies of the "Social and Family Affairs Administration" and "Health Promotion Administration" contributed the most policy posts. The policy of "Physical and mental health promotion" entailed the most agencies to be involved. The "Department of Nursing and Health Care" received the largest public response, for which "Long-term care" received the most public interest. CONCLUSIONS: A social network analysis of fan page of Taiwan's top level health government agency can reveal the government's most emphasized core policies, the strength of correlations between agencies and policies, and provide an understanding of public interest toward the policies.

Correction to: Depressive symptom trajectories in the first 10 years of diabetes diagnosis: antecedent factors and link with future disability in Taiwan.

The original article can be found online at.

National health data linkage and the agreement between self-reports and medical records for middle-aged and older adults in Taiwan.

BACKGROUND: Characteristics associated with acceptance of dataset linkages and health data linkage data quality were analyzed. METHODS: Participants from the 2011 Taiwan Longitudinal Study on Aging were asked to link their epidemiological data with concurrent and future medical claim datasets. Characteristics associated with acceptance of data linkage, data consistency, under-reporting, and over-reporting of disease conditions were identified. RESULTS: Among the 3727 respondents, 3601 (96.6%) accepted data linkage. Middle-aged adults with worse functional health accepted data linkage. Older adults (65+) with better health behavior and social support were more likely to accept data linkage. Consistency between self-reports and medical data was very good to satisfactory (Kappa = 0.80 and 0.67, respectively, for diabetes and hypertension). Comorbidities were common risk factors resulting in inconsistency between self-reports and medical data (OR = 1.58 and 1.27, respectively, for diabetes and hypertension). Living alone was another risk factor resulting in inconsistency for diabetes. Male, older, and not living alone were other risk factors resulting in inconsistencies for hypertension. Under-reporting of illness was associated with poor health and older age. Over-reporting of illness was associated with better health and younger age. DISCUSSION: The findings suggest different adjustment methods for middle-aged versus older respondents when considering self-report data validity.

Understanding the Meaning of Food in People With Type 2 Diabetes Living in Northern Appalachia.

PURPOSE: Food and eating convey memories and feelings and serve important functions in creating and maintaining relationships. Given the increasing rate of diabetes in the United States, research understanding the meaning of food may shed light on how patients negotiate everyday food choices while managing type 2 diabetes. The purpose of this qualitative study was to explore the meaning of food among adults with type 2 diabetes living in Northern Appalachia. METHODS: In-depth, face-to-face interviews were conducted with type 2 diabetes patients. Interviews were coded and analyzed via thematic analysis. RESULTS: Nineteen adults with type 2 diabetes (mean age 68.7 ± 10.6 years, mean A1C 7.4 ± 1.4%, mean diabetes duration 10.9 ± 11.9 years, 52.6% female, 100% white) participated in the study. Qualitative analysis revealed three themes: 1) "Sustaining Life:" Food and the Demands of Diabetes Management, in which participants described the role of food as operational and said that eating was dictated by time rather than hunger or pleasure; 2) "Diabetes Feels Like a Yield Sign:" Diabetes Changes Perceptions of Food, Enjoyment, and Social Relationships, in which most participants described a negative or ambivalent relationship with food after their diabetes diagnosis; and 3) "Food is Everywhere; It's Seducing:" Struggling With Diabetes Management in a Fast-Food Culture, in which participants discussed how the American fast-food culture was in direct conflict with the demands of diabetes and described how they struggled to follow a healthful diet in a culture that advertised the opposite in many venues. CONCLUSION: Adults with diabetes may benefit from education that addresses both the personal and sociocultural factors that guide food choices.

The Role of Leisure Activities in the Relationship Between Marital Transition in Later Midlife and Psychological Well-Being Trajectories.

This study examined the levels and rates of changes in psychological well-being for middle-aged adults of different statuses or marital transitions. The moderating effects of different leisure activities were also tested. Longitudinal data on 1,270 persons aged 50 to 65 years at baseline from the Taiwan longitudinal study on aging were analyzed. Adults who were stably unmarried or unpartnered reported worse mental health at baseline, but their psychological well-being improved over time. The trajectory of depressive symptoms fluctuated markedly in adults who became widowed during our observation period. Engagement in physical, cognitive, or social activities was significantly associated with participants' psychological well-being. Participation in religious activities was significantly associated with life satisfaction and decreased depressive symptoms for those undergoing bereavement. Findings from this study suggest that social and physical activities, among the four selected leisure activities, have the greatest association between decreasing depressive symptoms and increasing life satisfaction, respectively. Religious activities, in particular, may improve psychological well-being in bereaved middle-aged and older adults.

Psychological prognosis after newly diagnosed chronic conditions: socio-demographic and clinical correlates.

BACKGROUND: This study was aimed toward discerning depressive symptom trajectories associated with different chronic conditions and toward finding modifiable factors associated with those trajectories. METHODS: Data were drawn from the 1996-2007 Taiwan Longitudinal Study on Aging. Nine chronic conditions were selected, and mood trajectories were measured with the Center of Epidemiological Studies-Depression scale. RESULTS: Among the nine chronic conditions we examined, four patterns of depressive symptom trajectories were identified: (1) elevated depressive symptoms and worsened over time after diagnosed with heart disease (n = 681), arthritis (n = 850), or hypertension (n = 1,207); (2) elevated depressive symptoms without worsening over time after diagnosed with stroke (n = 160), lung diseases (n = 432), gastric conditions (n = 691), or liver diseases (n = 234); (3) no elevated depressive symptoms after diagnosis but an increase in depressive symptoms over time for participants with diabetes (n = 499); and (4) no significant patterns after diagnosed with cancer (n = 57). Cumulative psychological burden over time was significant for participants with hypertension, diabetes, heart diseases, or arthritis. However, these effects disappeared after controlling for comorbidities and physical limitations. Moreover, psychiatric condition was found to play an important role in baseline depressive symptoms among participants diagnosed with lung diseases, arthritis, or liver diseases. CONCLUSIONS: Findings from this study provide information in addressing psychological burden at different times for different conditions. In addition, minimizing the incidence of comorbidities, physical limitations, or psychiatric conditions may have the prospective effect of avoiding the trend of increased depressive symptoms, especially when adults diagnosed with hypertension, diabetes, heart diseases, arthritis, lung diseases, arthritis, or liver diseases.

Depressive symptom trajectories in the first 10 years of diabetes diagnosis: antecedent factors and link with future disability in Taiwan.

PURPOSE: This study identified depressive symptom trajectories in the years after diabetes diagnosis, examined factors that predict the probability for people following a specific trajectory, and investigated how the trajectories are associated with subsequent disability. METHODS: We drew data from a nationally representative survey in Taiwan to identify adults aged 50 and older diagnosed with diabetes; 487 patients newly diagnosed with diabetes during 1996-2007 were included. Time axis was set to zero when diabetes was first reported in any given wave in the survey, and data related to depressive symptoms after that were recorded. We used group-based semi-parametric mixture models to identify trajectories of depressive symptoms and multinomial logistic regressions to examine factors associated with the trajectories. RESULTS: Older adults with newly diagnosis of diabetes in Taiwan follow different trajectories of depressive symptoms over time. Being female, lower educated, not married/partnered, with lower self-rated health, hospitalizations, more limitations in physical function, less regular exercise before diagnosis, and not regularly using anti-diabetic medication at the beginning of their diagnosis were factors associated with increasing or high stable depressive symptom trajectories. Those who experienced high depressive symptoms were more likely than individuals with stable depressive symptoms to have physical limitations in the last follow-up interview. CONCLUSIONS: Depressive symptom trajectories after diabetes diagnosis were associated with select sociodemographic, health, and lifestyle factors before diagnosis, and also predicted subsequent disability. Risk groups identified in the present study may be used for personalized diabetes care that prevents diabetes-related distress and future disability.

Understanding Older Adult's Technology Adoption and Withdrawal for Elderly Care and Education: Mixed Method Analysis from National Survey.

BACKGROUND: Elderly adults have comprised the fastest growing population adopting the Internet and computer technology over the past decade. However, how their experiences can shed light on elderly learning theory has not been examined much in the literature. OBJECTIVE: This study investigated the factors and reasons associated with Internet adoption and withdrawal among older adults in Taiwan, and if any gender differences exist in this context. METHODS: Data on participants aged 50 years and older from the nationally representative "Digital Opportunity Survey on Individuals and Households in Taiwan," who did not use the Internet in 2005 but adopted it in 2007 (n=1548), and those who reported using Internet in 2011 but then withdrew (n=1575), were analyzed. Factors and reasons associated with Internet adoption and withdrawal were examined using both quantitative and qualitative data. RESULTS: Education level independently predicted Internet adoption behavior. With regard to the reasons for adoption, 66% (62/94) of participants indicated they started using the Internet to meet certain "needs"; for example, "keeping up with the world" (40.4%, 38/94) was listed as the most critical reason, followed by "job needs" (25.5%, 24/94). Older adults with a positive attitude toward the Internet with regard to increasing employment opportunities (OR 2.0, 95% CI 1.0-3.9, P=.04) and the amount of information obtained (OR 0.5, 95% CI 0.3-0.9, P=.01), as well as enriching recreation and entertainment (OR 0.6, 95% CI 0.4-0.9, P=.02), were less likely to withdraw from the Internet. The most common reason for Internet withdrawal was "psychological barriers" (eg, no available time, no meaningful use, or nothing worth reading/watching; 66.3%, 193/291), followed by "health barriers" (eg, eyes or body deteriorate with Internet use; 21.0%, 61/291). Although psychological barriers were the most important factor for Internet withdrawal for both men (72.5%, 100/138) and women (62%, 93/150), women were more likely than men to be affected by health barriers (26.0%, 39/150 vs 15.9%, 22/138; P=.004) and anthropic factors or accidental barriers (7.3%, 11/150 vs 2.9%, 4/138; P=.02). CONCLUSIONS: Our findings that the need to keep up with the world associated with Internet adoption, and gender differences in reasons behind Internet withdrawal, such that women reported more health and anthropic factors or accidental barriers than man, may provide a new perspective that help health educators understand strategies that encourage older adults to keep learning, an important component of active aging.

BMI Trajectories as a Harbinger of Pre-Diabetes or Underdiagnosed Diabetes: an 18-Year Retrospective Cohort Study in Taiwan.

BACKGROUND: Although prior studies have examined BMI trajectories in Western populations, little is known regarding how BMI trajectories in Asian populations vary between adults with and without diabetes. OBJECTIVE: To examine how BMI trajectories vary between those developing and not developing diabetes over 18 years in an Asian cohort. DESIGN: Multilevel modeling was used to depict levels and rates of change in BMI for up to 18 years for participants with and without self-reported physician-diagnosed diabetes. PARTICIPANTS: We used 14,490 data points available from repeated measurements of 3776 participants aged 50+ at baseline without diabetes from a nationally representative survey of the Taiwan Longitudinal Study on Aging (TLSA1989-2007). MAIN MEASURES: We defined development of diabetes as participants who first reported diabetes diagnoses in 2007 but had no diabetes diagnoses at baseline. We defined the reference group as those participants who reported the absence of diabetes at baseline and during the entire follow-up period. KEY RESULTS: When adjusted for time-varying comorbidities and behavioral factors, higher level and constant increases in BMI were present more than 6.5 years before self-reported diabetes diagnosis. The higher BMI level associating with the development of diabetes was especially evident in females. Within 6.5 years prior to self-reported diagnosis, however, a wider range of decreases in BMI occurred (ßdiabetes = 1.294, P = 0.0064; ßdiabetes*time = 0.150, P = 0.0327; ßdiabetes*time (2) = -0.008, P = 0.0065). The faster rate of increases in BMI followed by a greater decline was especially prominent in males and individuals with BMI ≧24. CONCLUSIONS: An unintentional decrease in BMI in sharp contrast to the gradually rising BMI preceding that time may be an alarm for undiagnosed diabetes or a precursor to developing diabetes.

Age-Related Trajectories of Memory Function in Middle-Aged and Older Adults with and without Hearing Impairment.

BACKGROUND: To examine age-related trajectories of memory function associated with hearing status and to explore potential confounding by sociodemographic, physiological, and behavioral factors in that link. METHODS: A national representative sample of Taiwanese adults ≥50 years with and without hearing impairment in 1996 (n = 4,707) were interviewed every 3-4 years until 2007. Cross-sectional and prospective associations between hearing impairment and memory function were determined using multilevel modeling. RESULTS: In bivariate analyses, hearing impairment was associated not only with poor memory function but also with sociodemographic, behavioral and self-rated health status and chronic conditions. These factors, however, did not confound the relationship of hearing impairment with the level or rate of change in the modified Rey Auditory Verbal Learning Test (m-RAVLT) score - hearing impairment increased the age-related differences in the intercept of the memory function by 25.6%, and that the association was significantly greater in older people than in younger people, but hearing impairment was not associated with the slope of the cognitive trajectory over time. CONCLUSION: Hearing impairment and the m-RAVLT score at any point in time may have partially combined pathologic mechanisms with age. The vascular risk covariates we considered might also share the etiological pathways and be part of important prevention strategies for guarding against age-related memory decline in the future.