Individual Chronic Diseases Research Articles

Multimorbidity patterns and the risk of falls among older adults: a community-based study in China

BackgroundDue to the high prevalence of multimorbidity and realistic health service demands for fall prevention, there is growing interest in the association between multimorbidity and falls. Our study aimed to identify multimorbidity patterns among Chinese older adults and explore the association between multimorbidity patterns and falls.MethodsData from 4,579 Chinese community-dwelling older adults was included in this analysis. Information regarding falls and 10 chronic conditions was collected. An exploratory factor analysis was performed to determine multimorbidity patterns. Regression models were fitted to explore the associations of individual chronic disease or multimorbidity patterns with falls.ResultsAmong 4,579 participants, 368 (8.0%) were defined as fallers, including 92 (2.0%) frequent fallers, and multimorbidity affected 2,503 (54.7%) participants. Older adults with multimorbidity were more likely to be fallers [odds ratio (OR) = 1.3, P = 0.02] and frequent fallers (OR = 1.7, P = 0.04). Three multimorbidity patterns were identified (i.e., cardiovascular-metabolic diseases, psycho-cognitive diseases and organic diseases), and the associations between psycho-cognitive diseases/organic diseases and prevalent falls or frequent falls were found to be significant.ConclusionsThe psycho-cognitive disease pattern and organic disease pattern are significantly associated with falls. Therefore, more attention should be paid to patients with psycho-cognitive diseases and timely, targeted diagnostic and treatment services should be provided in fall prevention.

The association of a low-inflammatory diet with the trajectory of multimorbidity: a large community-based longitudinal study

BackgroundA proinflammatory diet has been associated with a risk of individual chronic diseases, however, evidence on the association between inflammatory dietary patterns and the trajectory of chronic disease multimorbidity is sparse. ObjectivesWe aimed to investigate the associations of a low-inflammatory diet with the multimorbidity trajectory. MethodsWithin the UK Biobank, 102,424 chronic disease-free participants (mean age 54.7 ± 7.9 y, 54.8% female) were followed up to detect multimorbidity trajectory (annual change in the number of 59 chronic diseases). Baseline inflammatory diet index (IDI) and empirical dietary inflammatory pattern (EDIP) were separately calculated from the weighted sum of 32 posteriori-derived (15 anti-inflammatory) and 18 prior-defined (9 anti-inflammatory) food groups, and tertiled as low-, moderate-, and high-inflammatory diet. Data were analyzed using linear mixed effects model, Cox model, and Laplace regression with adjustment for potential confounders. ResultsDuring the follow-up (median 10.23 y), 15,672 and 35,801 participants developed 1 and 2+ chronic conditions, respectively. Adherence to a low-inflammatory diet was associated with decreased multimorbidity risk (hazard ratio [HRIDI] = 0.84, 95% confidence interval [CI]: 0.81, 0.86; HREDIP = 0.91, 95% CI: 0.89, 0.94) and a slower multimorbidity accumulation (βIDI = −0.033, 95% CI: −0.036, −0.029; βEDIP = −0.006, 95% CI: −0.010, −0.003) compared with a high-inflammatory diet, especially in participants aged > 60 y (βIDI = −0.051, 95% CI: −0.059, −0.042; βEDIP = −0.020, 95% CI: −0.029, −0.012; both P-interactions < 0.05). The 50th percentile difference (95% CI) of chronic disease-free survival time was prolonged by 0.81 (0.64, 0.97) and 0.49 (0.34, 0.64) y for participants with a low IDI and EDIP, respectively. Higher IDI and EDIP were associated with the development of 4 and 3 multimorbidity clusters (especially for cardiometabolic diseases), respectively. ConclusionsA low-inflammatory diet is associated with a lower risk and slower accumulation of multimorbidity (especially in participants aged > 60 y). A low-inflammatory diet may prolong chronic disease-free survival time.

Multimorbidity clusters potentially superior to individual diseases for stratifying fracture risk in older people: a nationwide cohort study.

Comorbidities are common in fracture patients, but the interaction between fracture and comorbidities remains unclear. This study aimed to define specific multimorbidity clusters in older adults and quantify the association between the multimorbidity clusters and fracture risk. This nationwide cohort study includes 1.7 million adults in Denmark aged ≥50years who were followed from 2001 through 2014 for an incident low-trauma fracture. Chronic diseases and fractures were identified from the Danish National Hospital Discharge Register. Latent class analysis and Cox's regression were conducted to define the clusters and quantify fracture risk, respectively. The study included 793815 men (age: 64 ± 10) and 873524 women (65.5 ± 11), with a third having ≥1 chronic disease. The pre-existent chronic diseases grouped individuals into low-multimorbidity (80.3% in men, 83.6% in women), cardiovascular (12.5%, 10.6%), malignant (4.1%, 3.8%), diabetic (2.4%, 2.0%) and hepatic clusters (0.7%, men only). These clusters distinguished individuals with advanced, complex, or late-stage disease from those having earlier-stage disease. During a median follow-up of 14years (IQR: 6.5, 14), 95372 men and 212498 women sustained an incident fracture. The presence of multimorbidity was associated with a significantly greater risk of fracture, independent of age and sex. Importantly, the multimorbidity clusters had the highest discriminative performance in assessing fracture risk, whereas the strength of their association with fracture risk equalled or exceeded that of both the individual chronic diseases most prevalent in each cluster and of counts-based comorbidity indices. Future fracture prevention strategies should take comorbidities into account. Multimorbidity clusters may provide greater insight into fracture risk than individual diseases or counts-based comorbidity indices.

Association of healthy lifestyle factors with the risk of hypertension, dyslipidemia, and their comorbidity in Korea: results from the Korea National Health and Nutrition Examination Survey 2019-2021.

We investigated the association of individual healthy lifestyle factors (HLFs) and their combined healthy lifestyle score (HLS) with hypertension and/or dyslipidemia. We analyzed data from 10,693 adults aged ≥19 from the 2019 to 2021 Korea National Health and Nutrition Examination Survey. HLS was evaluated based on smoking status, alcohol consumption, body mass index (BMI), diet, and physical activity. Using logistic regression models, we estimated odds ratios (ORs) with 95% confidence intervals (CIs) to evaluate the associations of HLFs and HLS with hypertension, dyslipidemia, and their comorbidity. The prevalence of hypertension alone, dyslipidemia alone, and their comorbidity was 8.7%, 24.6%, and 15.0%, respectively. Multivariable models showed an inverse association of hypertension (OR, 0.37; 95% CI, 0.30 to 0.46) and dyslipidemia (OR, 0.36; 95% CI, 0.32 to 0.41) with healthy BMI. Hypertension was inversely associated with healthy alcohol consumption (OR, 0.46; 95% CI, 0.35 to 0.61) and diet (OR, 0.79; 95% CI, 0.63 to 0.99), whereas dyslipidemia was inversely associated with non-smoking (OR, 0.51; 95% CI, 0.43 to 0.60). Physical activity was inversely associated with their comorbidity (OR, 0.69; 95% CI, 0.56 to 0.85). Adherence to HLS was associated with significantly lower odds of hypertension (81%), dyslipidemia (66%), and their conditions (89%) (all ptrend<0.001). Stratified analyses consistently showed inverse associations between HLS and hypertension and/or dyslipidemia independently of demographic factors (pinteractions>0.05). HLFs were associated with lower risk for hypertension and/or dyslipidemia. Obesity may contribute significantly to the risk of these conditions, while relevant HLFs for individual chronic diseases may vary significantly.

Early growth, stress, and socioeconomic factors as predictors of the rate of multimorbidity accumulation across the life course: a longitudinal birth cohort study

Early growth, stress, and socioeconomic factors are associated with future risk of individual chronic diseases. It is uncertain whether they also affect the rate of multimorbidity accumulation later in life. This study aimed to explore whether early life factors are associated with the rate at which chronic diseases are accumulated across older age. In this national birth cohort study, we studied people born at Helsinki University Central Hospital, Helsinki, Finland between Jan 1, 1934, and Dec 31, 1944, who attended child welfare clinics in the city, and were living in Finland in 1971. Individuals who had died or emigrated from Finland before 1987 were excluded, alongside participants without any registry data and who died before the end of the registry follow-up on Dec 31, 2017. Early anthropometry, growth, wartime parental separation, and socioeconomic factors were recorded from birth, child welfare clinic, or school health-care records, and Finnish National Archives. International Classification of Diseases codes of diagnoses for chronic diseases were obtained from the Care Register for Health Care starting from 1987 (when participants were aged 42-53 years) until 2017. Linear mixed models were used to study the association between early-life factors and the rate of change in the number of chronic diseases over 10-year periods. From Jan 1, 1934, to Dec 31, 2017, 11 689 people (6064 [51·9%] men and 5625 [48·1%] women) were included in the study. Individuals born to mothers younger than 25 years (β 0·09; 95% CI 0·06-0·12), mothers with a BMI of 25-30 kg/m2 (0·08; 0·05-0·10), and mothers with a BMI more than 30 kg/m2 (0·26; 0·21-0·31) in late pregnancy accumulated chronic diseases faster than those born to older mothers (25-30 years) and those with a BMI of less than 25 kg/m2. Individuals with a birthweight less than 2·5 kg (0·17; 0·10-0·25) and those with a rapid growth in height and weight from birth until age 11 years accumulated chronic diseases faster during their life course. Additionally, paternal occupational class (manual workers vs upper-middle class 0·27; 0·23-0·30) and wartime parental separation (0·24; 0·19-0·29 for boys; 0·31; 0·25-0·36 for girls) were associated with a faster rate of chronic disease accumulation. Our findings suggest that the foundation for accumulating chronic diseases is established early in life. Early interventions might be needed for vulnerable populations, including war evacuee children and children with lower socioeconomic status. Finska Läkaresällskapet, Liv och Hälsa rf, the Finnish Pediatric Research Foundation, and Folkhälsan Research Center. For the Finnish and Swedish translations of the abstract see Supplementary Materials section.

Applying the socioecological framework as a methodological approach to combat chronic diseases challenges: a case-in-point illustration using a narrative review of factors for tuberculosis medication non-adherence in India

The “slow-moving disaster” of chronic diseases has wide-ranging social implications. While prevention of chronic diseases has shifted from individual behavioral interventions to broad socio-ecological interventions, an organizing framework for complex chronic disease situations could prove to be valuable. In this article, we proposed the socio-ecological framework as one solution to identify gaps at multiple levels and guide further research, intervention efforts, and policy direction for individual chronic diseases. We illustrate this through a case-in-point example in the form of a narrative review of factors of nonadherence to therapy for tuberculosis in India. A literature search was conducted within PubMed, Scopus, Cinahl, Medline, and the Penn State Harrell Library Resources to identify peer-reviewed articles emanating from India describing factors associated with nonadherence to tuberculosis medications. The factors for non-adherence to tuberculosis medication were reported and described as individual (age, gender, religion, socioeconomic status, etc.), interpersonal (patients, family, &amp; friends, stigma &amp; discrimination, patient-provider relationship, etc.), organizational, community and policy levels of the socioecological model. Furthermore, gaps in the literature pertaining to these factors of nonadherence were also identified and categorized at each level of the socioecological model. The socio-ecological framework has the potential for broader and more comprehensive application to other chronic diseases and the problems associated. Integrating and conceptualizing these contributors organizes the complexities around chronic diseases that may, in turn, inform various policymakers, researchers, program implementation experts, and field personnel in formulating the desired strategy to combat the challenges.

Associations of individual chronic diseases and multimorbidity with multidimensional frailty

ObjectiveTo examine the associations between individual chronic diseases and multidimensional frailty comprising physical, psychological, and social frailty. MethodsDutch individuals (N = 47,768) age ≥ 65 years completed a general health questionnaire sent by the Public Health Services (response rate of 58.5 %), including data concerning self-reported chronic diseases, multidimensional frailty, and sociodemographic characteristics. Multidimensional frailty was assessed with the Tilburg Frailty Indicator (TFI). Total frailty and each frailty domain were regressed onto background characteristics and the six most prevalent chronic diseases: diabetes mellitus, cancer, hypertension, arthrosis, urinary incontinence, and severe back disorder. Multimorbidity was defined as the presence of combinations of these six diseases. ResultsThe six chronic diseases had medium and strong associations with total ((f2 = 0.122) and physical frailty (f2 = 0.170), respectively, and weak associations with psychological (f2 = 0.023) and social frailty (f2 = 0.008). The effects of the six diseases on the frailty variables differed strongly across diseases, with urinary incontinence and severe back disorder impairing frailty most. No synergetic effects were found; the effects of a disease on frailty did not get noteworthy stronger in the presence of another disease. ConclusionsChronic diseases, in particular urinary incontinence and severe back disorder, were associated with frailty. We thus recommend assigning different weights to individual chronic diseases in a measure of multimorbidity that aims to examine effects of multimorbidity on multidimensional frailty. Because there were no synergetic effects of chronic diseases, the measure does not need to include interactions between diseases.

Healthy dietary patterns and the risk of individual chronic diseases in community-dwelling adults

It is unclear regarding associations of dietary patterns with a wide range of chronic diseases and which dietary score is more predictive of major chronic diseases. Using the UK Biobank, we examine associations of four individual healthy dietary scores with the risk of 48 individual chronic diseases. Higher Alternate Mediterranean Diet score is associated with a lower risk of 32 (all 8 cardiometabolic disorders, 3 out of 10 types of cancers, 7 out of 10 psychological/neurological disorders, 5 out of 6 digestive disorders, and 9 out of 14 other chronic diseases). Alternate Healthy Eating Index-2010 and Healthful Plant-based Diet Index are inversely associated with the risk of 29 and 23 individual chronic diseases, respectively. A higher Anti-Empirical Dietary Inflammatory Index is associated with a lower risk of 14 individual chronic diseases and a higher incidence of two diseases. Our findings support dietary guidelines for the prevention of most chronic diseases.

Environmental inequalities and multimorbidity: Insights from the Southwest China Multi-Ethnic Cohort Study

Multimorbidity is an increasingly significant public health challenge worldwide. Although the association between environmental factors and the morbidity and mortality of individual chronic diseases is well-established, the relationship between environmental inequalities and multimorbidity, as well as the patterns of multimorbidity across different areas and ethnic groups, remains unclear. We first focus on analyzing the differences in environmental exposures and patterns of multimorbidity across diverse areas and ethnic groups. The results show that individuals of Han ethnicity residing in Chongqing and Sichuan are exposure to higher levels of air pollutants such as PM2.5, PM10, and NO2. Conversely, Tibetans in Tibet and Yi people in Yunnan face elevated concentrations of O3. Furthermore, the Dong, Miao, Buyi ethnicities in Guizhou and Bai in Yunnan have greater access to green spaces. The key multimorbidity patterns observed in Southwest China are related to metabolic abnormalities combined with digestive system diseases. However, significant differences in multimorbidity patterns exist among different regions and ethnic groups. Further utilizing the logistic regression model, the analysis demonstrates that increased exposure to environmental pollutants (PM2.5, PM10, NO2, O3) is significantly associated with higher odds ratios of multimorbidity. Conversely, a greater presence of green spaces (NDVI 250, NDVI 500, NDVI 1000) significantly reduces the risk of multimorbidity. This large-scale epidemiological study provides some evidence of a significant association between environmental inequalities and multimorbidity. By addressing these environmental inequalities and promoting healthy environments for all, we can work towards reducing the prevalence of multimorbidity and improving overall population health.

Effect of chronic disease on racial difference in COVID-19-associated hospitalization among cancer patients.

Research indicates that Black cancer patients have higher rates of COVID-19 hospitalization than their White counterparts. However, the extent to which chronic diseases contribute to racial disparities remains uncertain. We aimed to quantify the effect of chronic diseases on racial disparity in COVID-19-associated hospitalization among cancer patients. We linked Louisiana Tumor Registry's data with statewide COVID-19 data and hospital in-patient discharge data to identify patients diagnosed with cancer in 2015-2019 who tested positive for COVID-19 in 2020 and those with COVID-19-associated hospitalization. Multivariable logistic regression and mediation methods based on linear structural equations were employed to assess the effects of the number of chronic diseases (0, 1-2, ≥3) and individual chronic diseases. Of 6381 cancer patients who tested positive for COVID-19, 31.6% were non-Hispanic Black cancer patients. Compared with non-Hispanic White cancer patients, non-Hispanic Black cancer patients had a higher prevalence of chronic diseases (79.5% vs 66.0%) and higher COVID-19-associated hospitalization (27.2% vs 17.2%). The odds of COVID-19-associated hospitalization were 80% higher for non-Hispanic Black cancer patients than non-Hispanic White cancer patients (odds ratio = 1.80, 95% confidence interval = 1.59 to 2.04). After adjusting for age, sex, insurance, poverty, obesity, and cancer type, number of chronic diseases explained 37.8% of the racial disparity in COVID-19-associated hospitalization, and hypertension, diabetes, and chronic renal disease were the top 3 chronic diseases explaining 9.6%, 8.9%, and 7.3% of the racial disparity, respectively. Chronic diseases played a substantial role in the racial disparity in COVID-19-associated hospitalization among cancer patients, especially hypertension, diabetes, and renal disease. Understanding and addressing the root causes are crucial for targeted interventions, policies, and health-care strategies to reduce racial disparity.

Use of hospital services by patients with chronic conditions in sub-Saharan Africa: a systematic review and meta-analysis.

To estimate the prevalence of individual chronic conditions and multimorbidity among adults admitted to hospital in countries in sub-Saharan Africa. We systematically searched MEDLINE®, Embase®, Global Index Medicus, Global Health and SciELO for publications reporting on patient cohorts recruited between 1 January 2010 and 12 May 2023. We included articles reporting prevalence of pre-specified chronic diseases within unselected acute care services (emergency departments or medical inpatient settings). No language restrictions were applied. We generated prevalence estimates using random-effects meta-analysis alongside 95% confidence intervals, 95% prediction intervals and I2 statistics for heterogeneity. To explore associations with age, sex, country-level income status, geographical region and risk of bias, we conducted pre-specified meta-regression, sub-group and sensitivity analyses. Of 6976 identified studies, 61 met the inclusion criteria, comprising data from 20 countries and 376 676 people. None directly reported multimorbidity, but instead reported prevalence for individual conditions. Among medical admissions, the highest prevalence was human immunodeficiency virus infection (36.4%; 95% CI: 31.3-41.8); hypertension (24.4%; 95% CI: 16.7-34.2); diabetes (11.9%; 95% CI: 9.9-14.3); heart failure (8.2%; 95% CI: 5.6-11.9); chronic kidney disease (7.7%; 95% CI: 3.9-14.7); and stroke (6.8%; 95% CI: 4.7-9.6). Among patients seeking hospital care in sub-Saharan Africa, multimorbidity remains poorly described despite high burdens of individual chronic diseases. Prospective public health studies of multimorbidity burden are needed to generate integrated and context-specific health system interventions that act to maximize patient survival and well-being.

Improved Survival Analyses Based on Characterized Time-Dependent Covariates to Predict Individual Chronic Kidney Disease Progression.

Kidney diseases can cause severe morbidity, mortality, and health burden. Determining the risk factors associated with kidney damage and deterioration has become a priority for the prevention and treatment of kidney disease. This study followed 497 patients with stage 3-5 chronic kidney disease (CKD) who were treated at the ward of Taipei Veterans General Hospital from January 2006 to 2019 in Taiwan. The patients underwent 3-year-long follow-up sessions for clinical measurements, which occurred every 3 months. Three time-dependent survival models, namely the Cox proportional hazard model (Cox PHM), random survival forest (RSF), and an artificial neural network (ANN), were used to process patient demographics and laboratory data for predicting progression to renal failure, and important features for optimal prediction were evaluated. The individual prediction of CKD progression was validated using the Kaplan-Meier estimation method, based on patients' true outcomes during and beyond the study period. The results showed that the average concordance indexes for the cross-validation of the Cox PHM, ANN, and RSF models were 0.71, 0.72, and 0.89, respectively. RSF had the best predictive performances for CKD patients within the 3 years of follow-up sessions, with a sensitivity of 0.79 and specificity of 0.88. Creatinine, age, estimated glomerular filtration rate, and urine protein to creatinine ratio were useful factors for predicting the progression of CKD patients in the RSF model. These results may be helpful for instantaneous risk prediction at each follow-up session for CKD patients.

Chronic Disease in China: Geographic and Socioeconomic Determinants Among Persons Aged 60 and Older.

This study aimed to reveal the epidemic characteristics of chronic diseases among the Chinese older population and provide empirical strategies for the prevention and management of chronic diseases in the seniors in China. A national cross-sectional study. A total of 224,640 Chinese residents aged 60 and older were invited, and 222,179 (98.9%) participated in our survey. Standardized questionnaires were used to collect socioeconomic information and self-reported physician-diagnosed chronic diseases. The associations between individual socioeconomic status and chronic diseases were estimated using generalized linear mixed-effects models. The national prevalence of any chronic diseases was 81.1% (95% CI 80.9-81.2), representing 179.9 million Chinese older adults. The prevalence increased with aging and peaked at 80 to 84years old (87.2, 95% CI 86.7-87.7), this is consistent with studies in developing countries. Women (84.2, 84.0-84.4), rural residents (82.6, 82.4-82.8), and ethnic minorities (82.2, 81.5-82.8) had a higher prevalence than men (77.7, 77.4-77.9), urban residents (79.7, 79.5-79.9), and people of Han ethnicity (81.0, 80.8-81.2), respectively. For provincial prevalence, Tibet had the highest prevalence of chronic diseases (91.8, 91.5-92.0), and Fujian had the lowest (72.7, 72.5-72.9). The absolute differences between the highest and lowest provinces for the specific chronic condition ranged from 2.78% for cancer to 36.3% for cardiovascular diseases. Chronic diseases were highly prevalent among older adults in China and varied geographically. Advanced socioeconomic status appeared to have double-edged impacts on the prevalence of chronic diseases. Our findings support that reducing gender and geographic disparities should be prioritized in China's chronic disease prevention and management, and an affordable long-term care services system for older adults should be established urgently in China.

La vida en la frontera: protocol for a prospective study exploring stress and health resiliencies among Mexican-origin individuals living in a US-Mexico border community

BackgroundMexican-origin adults living near the U.S.-Mexico border experience unique and pervasive social and ecological stressors, including poverty, perceived discrimination, and environmental hazards, potentially contributing to the high burden of chronic disease. However, there is also evidence that residents in high-density Mexican-origin neighborhoods exhibit lower prevalence rates of disease and related mortality than those living in other areas. Understanding the factors that contribute to health resiliencies at the community scale is essential to informing the effective design of health promotion strategies.MethodsLa Vida en la Frontera is a mixed-methods participatory study linking a multi-disciplinary University of Arizona research team with Campesinos Sin Fronteras, a community-based organization founded by community health workers in San Luis, Arizona. This paper describes the current protocol for aims 2 and 3 of this multi-faceted investigation. In aim 2 a cohort of N≈300 will be recruited using door-to-door sampling of neighborhoods in San Luis and Somerton, AZ. Participants will be surveyed and undergo biomarker assessments for indicators of health and chronic stress at three time points across a year length. A subset of this cohort will be invited to participate in aim 3 where they will be interviewed to further understand mechanisms of resilience and wellbeing.DiscussionThis study examines objective and subjective mechanisms of the relationship between stress and health in an ecologically diverse rural community over an extended timeframe and illuminates health disparities affecting residents of this medically underserved community. Findings from this investigation directly impact the participants and community through deepening our understanding of the linkages between individual and community level stress and chronic disease risk. This innovative study utilizes a comprehensive methodology to investigate pathways of stress and chronic disease risk present at individual and community levels. We address multiple public health issues including chronic disease and mental illness risk, health related disparities among Mexican-origin people, and health protective mechanisms and behaviors.

Transit-oriented development for older people: Does using multiple public transport options improve their physical and mental health?

Transit-oriented cities often use urban rail transit (e.g., metro) to lead public transport development (TOD), which might overlook other public transport options (e.g., bus) that matter for the health and wellbeing of older people. We investigate older people’s public transport use patterns and how multiple public transport options are related to the physical and mental health of older people. In the case city of Hong Kong, which is well-known for its metro-led transit-oriented development, we collected questionnaire data from 826 older people on their public transport use behaviors, route environment to normally used stops/stations, and physical and mental health. We used univariate analysis to measure explanatory factors (P&lt;0.25). We applied multivariable linear regression models with several sensitivity analyses to test the associations among public transport use, route environment, and health outcomes, adjusting for covariates of individual factors, physical activity, and self-reported chronic disease. We found that (1) using multiple public transport options was positively associated with better physical health (p&lt;0.001); (2) mixed metro and bus users had the highest physical activity (high level with MET-mins/week&gt;3,000, 75%) as well as the best physical health (physical component summary (PCS) &gt;50, 41.42%) and mental health (mental component summary (MCS) &gt; 50, 68.28%), compared to bus-only or metro-only users; and (3) for mixed-mode users, pedestrian crowdedness was negatively associated with physical health (p &lt; 0.01), while satisfaction in sidewalk width was positively related to mental health (p=0.038). We found that older people prefer multiple public transport options rather than the metro-dominated single-mode, and this travel preference benefits the physical and mental health of this population. Our research helps deepen the understanding of public transport use and associated health outcomes among older people and has policy implications for TOD planning concerning the aging population.

Transitions of self-management behaviors and frailty status among community-dwelling older adults: a national longitudinal population-based cohort study

BackgroundFrailty in older adults is a common geriatric syndrome that could be prevented; thus, coping strategies for the aging population are essential. Self-management behaviors may represent cost-effective strategies to prevent physical frailty in community-dwelling older adults. This study aimed to describe the changes in frailty status among community-dwelling older adults in Taiwan and investigate the association between transitions of self-management behaviors and frailty status over 4 years of follow-up (2007 to 2011).MethodsData were retrieved from the Taiwan Longitudinal Study of Aging (TLSA), years 2007 and 2011. In this prospective cohort study, 1283 community-dwelling older adults aged 65 years and older without cognitive impairment were recruited. Frailty was defined based on Fried’s frailty phenotype. Self-management behaviors (maintaining body weight, quitting smoking or no smoking, drinking less or no drinking, exercising, keeping diet control, and maintaining a regular lifestyle) were assessed using a questionnaire. Multinomial logistic regression analyses were used to investigate the associations between changes in self-management behaviors and in frailty status. The age group was further stratified to examine the moderation effect in the relationship between changes in self-management behaviors and in frailty status among older adults.ResultsThe prevalence of frailty was 8.7% at baseline and 14.9% after 4 years of follow-up, with 196 (15.3%) deaths. Overall, 514 (40.1%) participants maintained their frailty status, 424 (33.0%) worsened, and only 149 (11.6%) improved. Being aged ≥75 years old, having chronic diseases, and an absence of self-management behaviors were associated with frailty at baseline and after follow-up. Among individuals aged 65–74, compared to those who maintained no self-management behaviors, those who decreased the exercise behaviors (yes-to-no) had a higher risk of worsening (RRR = 2.518), while increasing (no-to-yes) and maintaining (yes-to-yes) frequent physical exercise were associated with a lower risk of worsening (RRR = 0.466 and 0.572, respectively) than stable frailty; those who maintained body weight (yes-to-yes) were associated with a lower risk of worsening (RRR = 0.327) than stable frailty after controlling for individual covariates and chronic diseases. Among individuals over 75 years old, compared to no exerciser, older old who decreased their physical exercise had a higher risk of frailty worsening (RRR = 3.255), and increasing frequent physical exercise (no-to-yes) was associated with an improvement in frailty status (RRR = 3.684). Age was a moderator between the effects of maintaining body weight on frailty worsening. There were no associations between the behavioral transitions of smoking, drinking, diet control, or regular lifestyle on the frailty status changes.ConclusionsMaintaining body weight and frequent physical exercise increased the ratio of frailty stability among individuals 65–74 years old. Increasing exercise behavior is the only factor to improve their frailty status among older adults aged 75 years and over. Older adults should be encouraged to perform adequate physical exercise and maintain a healthy body weight to maintain the frailty status in younger old aged 65–74 years, and especially perform more frequent exercise to improve frailty status in older old over 75 years.

Association of sleep duration at age 50, 60, and 70 years with risk of multimorbidity in the UK: 25-year follow-up of the Whitehall II cohort study.

Sleep duration has been shown to be associated with individual chronic diseases but its association with multimorbidity, common in older adults, remains poorly understood. We examined whether sleep duration is associated with incidence of a first chronic disease, subsequent multimorbidity and mortality using data spanning 25 years. Data were drawn from the prospective Whitehall II cohort study, established in 1985 on 10,308 persons employed in the London offices of the British civil service. Self-reported sleep duration was measured 6 times between 1985 and 2016, and data on sleep duration was extracted at age 50 (mean age (standard deviation) = 50.6 (2.6)), 60 (60.3 (2.2)), and 70 (69.2 (1.9)). Incidence of multimorbidity was defined as having 2 or more of 13 chronic diseases, follow-up up to March 2019. Cox regression, separate analyses at each age, was used to examine associations of sleep duration at age 50, 60, and 70 with incident multimorbidity. Multistate models were used to examine the association of sleep duration at age 50 with onset of a first chronic disease, progression to incident multimorbidity, and death. Analyses were adjusted for sociodemographic, behavioral, and health-related factors. A total of 7,864 (32.5% women) participants free of multimorbidity had data on sleep duration at age 50; 544 (6.9%) reported sleeping ≤5 hours, 2,562 (32.6%) 6 hours, 3,589 (45.6%) 7 hours, 1,092 (13.9%) 8 hours, and 77 (1.0%) ≥9 hours. Compared to 7-hour sleep, sleep duration ≤5 hours was associated with higher multimorbidity risk (hazard ratio: 1.30, 95% confidence interval = 1.12 to 1.50; p < 0.001). This was also the case for short sleep duration at age 60 (1.32, 1.13 to 1.55; p < 0.001) and 70 (1.40, 1.16 to 1.68; p < 0.001). Sleep duration ≥9 hours at age 60 (1.54, 1.15 to 2.06; p = 0.003) and 70 (1.51, 1.10 to 2.08; p = 0.01) but not 50 (1.39, 0.98 to 1.96; p = 0.07) was associated with incident multimorbidity. Among 7,217 participants free of chronic disease at age 50 (mean follow-up = 25.2 years), 4,446 developed a first chronic disease, 2,297 progressed to multimorbidity, and 787 subsequently died. Compared to 7-hour sleep, sleeping ≤5 hours at age 50 was associated with an increased risk of a first chronic disease (1.20, 1.06 to 1.35; p = 0.003) and, among those who developed a first disease, with subsequent multimorbidity (1.21, 1.03 to 1.42; p = 0.02). Sleep duration ≥9 hours was not associated with these transitions. No association was found between sleep duration and mortality among those with existing chronic diseases. The study limitations include the small number of cases in the long sleep category, not allowing conclusions to be drawn for this category, the self-reported nature of sleep data, the potential for reverse causality that could arise from undiagnosed conditions at sleep measures, and the small proportion of non-white participants, limiting generalization of findings. In this study, we observed short sleep duration to be associated with risk of chronic disease and subsequent multimorbidity but not with progression to death. There was no robust evidence of an increased risk of chronic disease among those with long sleep duration at age 50. Our findings suggest an association between short sleep duration and multimorbidity.

Cohort profile: a prospective Australian cohort study of women’s reproductive characteristics and risk of chronic disease from menarche to premenopause (M-PreM)

PurposePrevious studies have identified associations between individual reproductive factors and chronic disease risk among postmenopausal women. However, few have investigated the association of different markers of reproductive function, their interactions...

Personalized nutrition for people with diabetes and at risk of diabetes has begun

Food and nutrition are essential parts for the management of blood glucose of patients with diabetes and other metabolic diseases. The results of recent human clinical studies have shown that the blood glucose levels change differently in different people in response to the same standardized meals. This phenomenon shows the challenges to find a one-size-fits-all approach to combat diabetes. With the development of technologies, personalized nutrition/precision nutrition has gradually become more practical in order to treat individual diabetes. The aim of this review article is to summarize personalized nutrition's progress and potential in treating the diabetes epidemic. We have searched PubMed to identify relevant articles and found that personalized nutrition on multiple factors associated with an individual has started to draw attention to scientific communities. Two seminal studies have shown that healthy adults show differential responses of postprandial blood glucose levels to the same standardized meals. Human clinical trials have started to integrate sensor technologies such as continuous glucose monitoring and personal data such as genomic sequences and microbiome to provide personalized nutrition advice, and shown promises in intervention and management of type 2 diabetes. It appears that the interplays of diets and genomes, gut microbiome, gut transit time, insulin sensitivity, cultural, social, and economic factors should all be considered to create a personalized treatment for an individual's chronic metabolic disease. This probably can be achieved through the integration of personalized nutrition and personalized food intervention with the development of technologies and advances in food and nutrition sciences. More research should be anticipated soon.

Association of a wide range of individual chronic diseases and their multimorbidity with brain volumes in the UK Biobank: A cross-sectional study

SummaryBackgroundLittle is known regarding associations of conventional and emerging diseases and their multimorbidity with brain volumes.MethodsThis cross-sectional study included 36,647 European ancestry individuals aged 44–81 years with brain magnetic resonance imaging data from UK Biobank. Brain volumes were measured between 02 May 2014 and 31 October 2019. General linear regression models were used to associate 57 individual major diseases with brain volumes. Latent class analysis was used to identify multimorbidity patterns. A multimorbidity score for brain volumes was computed based on the estimates for individual groups of diseases.FindingsOut of 57 major diseases, 16 were associated with smaller volumes of total brain, 14 with smaller volumes of grey matter, and six with smaller hippocampus volumes, and four major diseases were associated with higher white matter hyperintensity (WMH) load after adjustment for all other diseases. The leading contributors to the variance of total brain volume were hypertension (R2=0·0229), dyslipidemia (0·0190), cataract (0·0176), coronary heart disease (0·0107), and diabetes (0·0077). We identified six major multimorbidity patterns and multimorbidity patterns of cardiometabolic disorders (CMD), and CMD-multiple disorders, and metabolic disorders were independently associated with smaller volumes of total brain (β (95% CI): -6·6 (-8·9, -4·3) ml, -7·3 (-10·4, -4·1) ml, and -10·4 (-13·5, -7·3) ml, respectively), grey matter (-7·1 (-8·5, -5·7) ml, -9·0 (-10·9, -7·1) ml, and -11·8 (-13·6, -9·9) ml, respectively), and higher WMH load (0·23 (0·19, 0·27), 0·25 (0·19, 0·30), and 0·33 (0·27, 0·39), respectively) after adjustment for geographic, socioeconomic, and lifestyle factors (all P-values<0·0001). The percentage of the variance of total brain volume explained by multimorbidity patterns, multimorbidity defined by the number of diseases, and multimorbidity score was 1·2%, 3·1%, and 7·2%, respectively. Associations between CMD-multiple disorders pattern, and metabolic disorders pattern and volumes of total brain, grey matter, and WMH were stronger in men than in women. Associations between multimorbidity and brain volumes were stronger in younger than in older individuals.InterpretationBesides conventional diseases, we found an association between numerous emerging diseases and smaller brain volumes. CMD-related multimorbidity patterns are associated with smaller brain volumes. Men or younger adults with multimorbidity are more in need of care for promoting brain health. These findings are from an association study and will need confirmation.FundingThe Fundamental Research Funds of the State Key Laboratory of Ophthalmology, Project of Investigation on Health Status of Employees in Financial Industry in Guangzhou, China (Z012014075), Science and Technology Program of Guangzhou, China (202,002,020,049).