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1.
PurposeFrailty, a multidimensional syndrome of increased vulnerability, is prevalent post-myocardial infarction (MI) and predicts mortality and recurrent events. We investigated whether chronic exposure to particulate matter ≤2.5 μm in diameter (PM2.5) is associated with the development of post-MI frailty.MethodsParticipants (n = 1120) were aged 65 or less and admitted to hospital in central Israel with first MI in 1992 and 1993. Daily measures of PM2.5 recorded at air quality monitoring stations were summarized and chronic exposure was estimated individually using the geo-coded residential location. Frailty assessment was conducted via an index based on deficit accumulation, and those defined as frail (applying a threshold of ≥0.25) at baseline were excluded. Remaining participants who survived to follow-up 10 to 13 years post-MI (n = 848) were reassessed for frailty. Logistic regression models were constructed to evaluate the role of PM2.5 exposure in frailty risk prediction.ResultsMean exposure to PM2.5 was 24.2 μg/m3 (range, 16.9–28.6). A total of 301 participants (35.5%) developed frailty during follow-up. Adjusting for sociodemographic and clinical variables, PM2.5 exposure was associated with increased odds of developing frailty (odds ratio, 1.53; 95% confidence interval, 1.22–1.91, comparing the 75th vs. 25th percentiles). Addition of PM2.5 exposure to the multivariable model resulted in an integrated discrimination improvement of 1.60% (P = .005) and a net reclassification index of 6.51% (P = .02).ConclusionsAn association was observed between exposure to PM2.5 and incidence of frailty, providing a potential intermediary between air pollution and post-MI outcomes.  相似文献   

2.
ObjectivesStudy the frequency and determinants of frailty transitions in a community-dwelling older population.DesignPopulation-based prospective longitudinal study [The Toledo Study of Healthy Ageing (TSHA)].Setting and Participants1748 community-dwelling individuals aged >65 years living in Toledo, a Spanish province.MethodsFrailty was measured with the Fried phenotype. Logistic models were used to assess the associations of sociodemographic, clinical, life-habits, functional, physical performance, and analytical variables with frailty transitions (losing robustness, transitioning from prefrailty to robustness, and from prefrailty to frailty) over a median of 5.2 years.ResultsMean age on enrolment was 75 years, and 55.8% were females. At baseline, 10.3% were frail and 43.1% prefrail. At follow-up, 35.8% of the frail individuals recovered to a prefrail and 15.1% to a robust state. In addition, 43.7% of the prefrail participants became robust, but 14.5% developed frailty. Of those robust at baseline, 32.9% became prefrail and 4.2% frail. In multivariate logistic models, chair-stands had a predictive role in all transitions studied: linearly in keeping robustness and with a floor effect (5 stands) in transitions from prefrailty to robustness and (inversely) from prefrailty to frailty. More depressive symptoms were associated with unfavorable transitions. Not declaring the amount of alcohol drunk and low grip strength were associated with loss of robustness. Hearing and cognitive impairment, low physical activity and smoking with transitioning from prefrailty to frailty. Autonomy for instrumental activities of daily living and uricemia were associated with transitions between robustness and prefrailty in both directions. Increasing body mass index in the range of moderate to severe obesity hampered regaining robustness.Conclusions and ImplicationsSpontaneous improvement of frailty measured with the Fried phenotype is frequent, mainly to prefrailty. Most of the variables associated with transitions are modifiable and suggest research topics and interventions to reduce frailty in clinical and social care settings.  相似文献   

3.

Objective

The association between frailty and malnutrition is widely noted, but the common and distinct aspects of this relationship are not well understood. We investigated the prevalence of prefrailty/frailty and malnutrition/nutritional risk; their overlapping prevalence; compared their sociodemographic, physical, and mental health risk factors; and assessed their association, independently of other risk factors.

Methods

Cross-sectional study of population-based cohort (Singapore Longitudinal Ageing Study [SLAS]-1 [enrolled 2003–2005] and SLAS-2 [enrolled 2010–2013]) of community-dwelling older Singaporeans aged ≥55 (n = 6045).

Measurements

Mini Nutritional Assessment (MNA)–Short Form (SF), Nutritional Screening Initiative (NSI) Determine Checklist, Fried physical frailty phenotype.

Results

The overall prevalence of MNA malnutrition was 2.8%, and at risk of malnutrition was 27.6%; the prevalence of frailty and prefrailty were 4.5%, and 46.0% respectively. Only 26.5% of participants who were malnourished were frail, but 64.2% were prefrail (totally 90.7% prefrail or frail). The prevalence of malnutrition among frail participants was 16.1%, higher than in other studies (10%); nearly one-third of the whole population sample had normal nutrition while being prefrail (27.7%) or frail (1.5%). The prevalence of risk factors for prefrailty/frailty and malnutrition/nutritional risk were remarkably similar. MNA at risk of malnutrition and malnutrition were highly significantly associated with prefrailty (odds ratio [OR] 2.11 and 6.71) and frailty (OR 2.72 and 17.4), after adjusting for many other risk factors. The OR estimates were substantially lower with NSI moderate and high nutritional risk for prefrailty (OR 1.39 and 1.74) and frailty (OR 1.27 and 1.93), but remain significantly elevated.

Conclusion

Frailty and malnutrition are related but distinct conditions in community-dwelling older adults. The contribution of poor nutrition to frailty in this population is notably greater. Both frail/prefrail elderly and those who are malnourished/at nutritional risk should be identified early and offered suitable interventions.  相似文献   

4.
ObjectivesNo previous studies have assessed the role of the FRAIL scale in predicting long-term outcomes in older patients with acute coronary syndromes (ACS).Design, Setting and ParticipantsThe multicenter observational LONGEVO-SCA registry included unselected patients ≥80 years of age with ACS from 44 centers. A comprehensive geriatric assessment was performed during hospitalization.MeasuresFrailty was measured by the FRAIL scale. For the purpose of this study, main outcome measured was mortality or readmission at 24 months.ResultsA total of 498 patients were included. Mean age was 84.3 years. A total of 198 patients (33.1%) were prefrail and 135 (27.1%) frail. Patients who were prefrail and frail had a higher degree of comorbidities, and higher prevalence of disability, cognitive impairment, and nutritional risk. A total of 165 out of 498 patients (33.1%) died, and 331 patients (66.7%) died or were readmitted at 24 months. Both prefrailty and frailty were associated with a higher mortality compared with robust patients (P < .001). The incidence of mortality or readmission was also higher in patients who were prefrail or frail (P < .001). After adjusting for potential confounders, the association between frailty and mortality or readmission remained significant (hazard ratio 1.28 for prefrailty and hazard ratio 1.96 for frailty, P < .001). The FRAIL scale showed an optimal ability for predicting mortality or readmission (area under the receiver operating characteristics curve 0.86, 95% confidence interval 0.83‒0.89). The area under the receiver operating characteristics curve from the Global Registry of Acute Coronary Events risk score was 0.89. No significant differences were observed between both AUC values (P = .163).Conclusions and ImplicationsThe FRAIL scale independently predicted long-term outcomes in older patients with ACS. The predictive ability of this scale was comparable to the strongly recommended Global Registry of Acute Coronary Events risk score. Frailty assessment is mandatory for improving risk prediction in these complex patients.  相似文献   

5.

Background

Previous studies reported adverse impacts of traffic-related air pollution exposure on pregnancy outcomes. Yet, little information exists on how effect estimates are impacted by the different exposure assessment methods employed in these studies.

Objectives

To compare effect estimates for traffic-related air pollution exposure and preeclampsia, preterm birth (gestational age less than 37 weeks), and very preterm birth (gestational age less than 30 weeks) based on four commonly used exposure assessment methods.

Methods

We identified 81,186 singleton births during 1997–2006 at four hospitals in Los Angeles and Orange Counties, California. Exposures were assigned to individual subjects based on residential address at delivery using the nearest ambient monitoring station data [carbon monoxide (CO), nitrogen dioxide (NO2), nitric oxide (NO), nitrogen oxides (NOx), ozone (O3), and particulate matter less than 2.5 (PM2.5) or less than 10 (PM10) μm in aerodynamic diameter], both unadjusted and temporally adjusted land-use regression (LUR) model estimates (NO, NO2, and NOx), CALINE4 line-source air dispersion model estimates (NOx and PM2.5), and a simple traffic-density measure. We employed unconditional logistic regression to analyze preeclampsia in our birth cohort, while for gestational age-matched risk sets with preterm and very preterm birth we employed conditional logistic regression.

Results

We observed elevated risks for preeclampsia, preterm birth, and very preterm birth from maternal exposures to traffic air pollutants measured at ambient stations (CO, NO, NO2, and NOx) and modeled through CALINE4 (NOx and PM2.5) and LUR (NO2 and NOx). Increased risk of preterm birth and very preterm birth were also positively associated with PM10 and PM2.5 air pollution measured at ambient stations. For LUR-modeled NO2 and NOx exposures, elevated risks for all the outcomes were observed in Los Angeles only—the region for which the LUR models were initially developed. Unadjusted LUR models often produced odds ratios somewhat larger in size than temporally adjusted models. The size of effect estimates was smaller for exposures based on simpler traffic density measures than the other exposure assessment methods.

Conclusion

We generally confirmed that traffic-related air pollution was associated with adverse reproductive outcomes regardless of the exposure assessment method employed, yet the size of the estimated effect depended on how both temporal and spatial variations were incorporated into exposure assessment. The LUR model was not transferable even between two contiguous areas within the same large metropolitan area in Southern California.  相似文献   

6.
ObjectiveThis study aimed to examine the cross-sectional and longitudinal relationships between physical frailty at baseline and depressive symptoms at baseline and at follow-up.DesignFour-year prospective study.SettingCommunities in the South East Region of Singapore.ParticipantsWe analyzed data of 1827 older Chinese adults aged 55 and above in the Singapore Longitudinal Aging Study-I.MeasurementsThe frailty phenotype (based on Fried criteria) was determined at baseline, depressive symptoms (Geriatric Depression Scale ≥5) at baseline and follow-ups at 2 and 4 years.ResultsThe mean age of the population was 65.9 (standard deviation 7.26). At baseline, 11.4% (n = 209) had depressive symptoms, 32.4% (n = 591) were prefrail and 2.5% (n = 46) were frail. In cross-sectional analysis of baseline data, the adjusted odds ratios (OR)s and 95% confidence intervals controlling for demographic, comorbidities, and other confounders were 1.69 (1.23–2.33) for prefrailty and 2.36 (1.08–5.15) for frailty, (P for linear trend <.001). In longitudinal data analyses, prospective associations among all participants were: prefrail: OR = 1.86 (1.08–3.20); frail: OR = 3.09 (1.12–8.50); (P for linear trend = .009). Among participants free of depressive symptoms at baseline, similar prospective associations were found: prefrail OR = 2.26 (1.12–4.57); frail: OR = 3.75 (1.07–13.16); (P for linear trend = .009).ConclusionThese data support a significant role of frailty as a predictor of depression in a relatively younger old Chinese population. Further observational and interventional studies should explore short-term dynamic and bidirectional associations and the effects of frailty reversal on depression risk.  相似文献   

7.
ObjectivesThe purpose of this study was to examine whether frailty could explain variability in healthcare expenditure beyond multimorbidity and disability among Chinese older adults.DesignCross-sectional.Setting and ParticipantsParticipants were 5300 community-dwelling adults age at least 60 years from the China Health and Retirement Longitudinal Study.MethodsFrailty was identified by the physical frailty phenotype approach that has been created and validated among Chinese older adults. Five criteria were used: slowness, weakness, exhaustion, inactivity, and shrinking. Persons were classified as “nonfrail” (0 criteria), “prefrail” (1‒2 criteria), or “frail” (3‒5 criteria). Healthcare expenditure was measured based on participants’ self-report and was classified into 3 types: outpatient expenditure, inpatient expenditure, and self-treatment expenditure. The association of frailty and healthcare expenditure was analyzed using a 2-part regression model to account for excessive zero expenditures.ResultsFrailty was associated with higher odds of incurring outpatient, inpatient, and self-treatment expenditure. Among persons with non-zero expenditure, prefrail and frail persons, on average, had US $30.62 [95% confidence interval (CI) 8.41, 52.82] and US $60.60 (95% CI 5.84, 115.36) higher outpatient expenditure than the nonfrail, adjusting for sociodemographics, multimorbidity, and disability. After adjustment for all covariates, prefrail persons, on average, had US $3.34 (95% CI 0.54, 6.13) higher self-treatment expenditure than the nonfrail.Conclusions and ImplicationsFrailty is an independent predictor of higher healthcare expenditure among older adults. These findings suggest that timely screening and recognition of frailty are important to reduce healthcare expenditure among older adults.  相似文献   

8.
ObjectivesTo examine the relationship between frailty status and risk of all-cause and cause-specific mortality.DesignLongitudinal cohort study with an 11-year follow up.Setting and participantsData from the Survey on Health, Aging and Retirement in Europe (SHARE) were used. In the analysis, we included data from 11 European countries. We included men and women older than 50 years residing in Europe. Overall, 24,634 participants were analyzed with a mean age of 64.2 (9.8), 53.6% female, where 14.7% and 6.9% were found to be prefrail or frail, respectively, at the baseline.MethodsFrailty status was calculated using the SHARE–Frailty Instrument, categorizing the participants as robust, prefrail, and frail. Multivariate Cox regression models were used to estimate the risk of all-cause and cause-specific (stroke, heart attack, other cardiovascular disease, cancer, respiratory illness, infectious, and digestive and other) mortality.ResultsDuring the follow-up, and after adjusting for sex, age, education, body mass index, smoking, alcohol consumption, and number of comorbidities, frailty was associated with a higher risk of all-cause (HR 2.17, 95% CI 1.90-2.48) and mortality due to stroke (HR 2.06, 95% CI 1.37-3.10), heart attack (HR 1.67, 95% CI 1.19-2.34), other cardiovascular disease (HR 2.77, 95% CI 1.87-4.12), cancer (HR 2.11, 95% CI 1.63-2.73), respiratory disease (HR 2.76, 95% CI 1.66-4.60), infectious diseases (HR 1.79, 95% CI 1.03-3.11), and digestive and other causes (HR 2.02, 95% CI 1.51-2.71). Prefrailty was associated with a higher risk of all-cause (HR 1.47, 95% CI 1.31-1.63), heart attack (HR 1.31, 95% CI 1.01-1.72), other cardiovascular disease (HR 2.03, 95% CI 1.46-2.81), respiratory disease (HR 1.70, 95% CI 1.09-2.65), and digestive and other causes (HR 1.50, 95% CI 1.18-1.91) mortality.Conclusions and implicationsBaseline prefrailty and frailty are associated with increased all-cause and cause-specific mortality over an 11-year follow up. Public health policy should include preventive programs aimed at older adults to prevent frailty and reduce mortality.  相似文献   

9.

Background

Long-term exposure to ambient air pollution contributes to the global burden of disease by particularly affecting cardiovascular (CV) causes of death. We investigated the association between particle number concentration (PNC), a marker for ultrafine particles, and other air pollutants and high sensitivity C-reactive protein (hs-CRP) as a potential link between air pollution and CV disease.

Methods

We cross-sectionally analysed data from the second follow up (2013 and 2014) of the German KORA baseline survey which was conducted in 1999–2001. Residential long-term exposure to PNC and various other size fractions of particulate matter (PM10 with size of <10?μm in aerodynamic diameter, PMcoarse 2.5–10?μm or PM2.5?<?2.5?μm, respectively), soot (PM2.5abs: absorbance of PM2.5), nitrogen oxides (nitrogen dioxide NO2 or oxides NOx, respectively) and ozone (O3) were estimated by land-use regression models. Associations between annual air pollution concentrations and hs-CRP were modeled in 2252 participants using linear regression models adjusted for several confounders. Potential effect-modifiers were examined by interaction terms and two-pollutant models were calculated for pollutants with Spearman inter-correlation <0.70.

Results

Single pollutant models for PNC, PM10, PMcoarse, PM2.5abs, NO2 and NOx showed positive but non-significant associations with hs-CRP. For PNC, an interquartile range (2000 particles/cm3) increase was associated with a 3.6% (95% CI: ?0.9%, 8.3%) increase in hs-CRP. A null association was found for PM2.5. Effect estimates were higher for women, non‐obese participants, for participants without diabetes and without a history of cardiovascular disease whereas ex-smokers showed lower estimates compared to smokers or non-smokers. For O3, the dose-response function suggested a non-linear relationship. In two-pollutant models, adjustment for PM2.5 strengthened the effect estimates for PNC and PM10 (6.3% increase per 2000 particles/cm3 [95% CI: 0.4%; 12.5%] and 7.3% per 16.5?μg/m3 [95% CI: 0.4%; 14.8%], respectively).

Conclusion

This study adds to a scarce but growing body of literature showing associations between long-term exposure to ultrafine particles and hs-CRP, one of the most intensely studied blood biomarkers for cardiovascular health. Our results highlight the role of ultrafine particles within the complex mixture of ambient air pollution and their inflammatory potential.  相似文献   

10.
IntroductionThe impact of outdoor air pollution exposure on long-term lung development and potential periods of increased lung susceptibility remain unknown. This study assessed associations between early-life and current residential exposure to air pollution and lung function at 15-years of age in two German birth cohorts.MethodsFifteen year-old participants living in an urban and rural area in Germany underwent spirometry before and after bronchodilation (N = 2266). Annual average (long-term) exposure to nitrogen dioxide (NO2), particles with aerodynamic diameters less than 2.5 μg/m3 (PM2.5) mass and less than 10 μg/m3 (PM10) mass, PM2.5 absorbance and ozone were estimated to each participant's birth-, 10- and 15-year home address using land-use regression and kriging (ozone only) modelling. Associations between lung function variables and long-term pollutant concentrations were assessed using linear regression models adjusted for host and environmental covariates and recent short-term air pollution exposures.ResultsLong-term air pollution concentrations assessed to the birth-, 10- and 15-year home addresses were not associated with lung function variables, before and after bronchodilation, in the complete or study area specific populations. However, several lung function variables were negatively associated with long-term NO2 concentrations among asthmatics. For example, NO2 estimated to the 15-year home address was associated with the ratio of forced expiratory volume in one second to forced vital capacity (FEV1/FVC) and the mean flow rate between 25% and 75% of FVC (−3.5%, 95% confidence interval [−6.0, −1.0] and −297.4 ml/s [−592.6, −2.1] per 5.9 μg/m3 increase in NO2, respectively). Nearly all effect estimates for the associations between the short-term PM2.5 mass, PM10 mass and ozone concentrations and the lung function variables were negative in the complete population.ConclusionsEarly-life and current long-term air pollution exposures and lung function at the age of 15 years were not associated in the complete study population. Asthmatics may represent a vulnerable group.  相似文献   

11.
BackgroundChronic obstructive pulmonary disease (COPD) is one of the leading causes of death in the world. Not much is known regarding the influence of non-smoking-related risk factors on COPD in Taiwan. We examined the relationship between exposure to particulate matter <2.5 μm (PM2.5) and COPD among nonsmokers in Taiwan.MethodsThis population-based study involved 3941 nonsmoking Taiwanese adults who were recruited in the Taiwan Biobank project between 2008 and 2015. Air pollution data between 2006 and 2011 were obtained from the air quality monitoring database (AQMD). COPD was the outcome of interest and was identified using the National health insurance Research Database (NHIRD). The data were analyzed using multiple logistic regression models.ResultsCompared with the lowest quartile (PM2.5 = 29.38), exposure to PM2.5 in the highest quartile (>38.98 μg/m3) was significantly associated with COPD (OR, 1.29; CI 1.01–1.65) after multivariate adjustments. However, exposures to concentrations of 32.07–38.98 μg/m3 (OR, 1.12 CI 0.88–1.44) and 29.38–32.07 μg/m3 (OR, 1.09 CI 0.84–1.41) showed positive but non-significant associations. However, the test for trend was significant (Ptrend = 0.043). The ORs for exposure to sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO) and NOx (nitrogen monoxide (NO were not significant.ConclusionsBased on our data, exposure to PM2.5 at concentrations greater than 38.98 μg/m3 increased susceptibility to COPD among Taiwanese nonsmokers. Combatting COPD would involve integrating tobacco control and pollution management strategies.  相似文献   

12.

Background

Preeclampsia is a major complication of pregnancy that can lead to substantial maternal and perinatal morbidity, mortality, and preterm birth. Increasing evidence suggests that air pollution adversely affects pregnancy outcomes. Yet few studies have examined how local traffic-generated emissions affect preeclampsia in addition to preterm birth.

Objectives

We examined effects of residential exposure to local traffic-generated air pollution on preeclampsia and preterm delivery (PTD).

Methods

We identified 81,186 singleton birth records from four hospitals (1997–2006) in Los Angeles and Orange Counties, California (USA). We used a line-source dispersion model (CALINE4) to estimate individual exposure to local traffic-generated nitrogen oxides (NOx) and particulate matter < 2.5 μm in aerodynamic diameter (PM2.5) across the entire pregnancy. We used logistic regression to estimate effects of air pollution exposures on preeclampsia, PTD (gestational age < 37 weeks), moderate PTD (MPTD; gestational age < 35 weeks), and very PTD (VPTD; gestational age < 30 weeks).

Results

We observed elevated risks for preeclampsia and preterm birth from maternal exposure to local traffic-generated NOx and PM2.5. The risk of preeclampsia increased 33% [odds ratio (OR) = 1.33; 95% confidence interval (CI), 1.18–1.49] and 42% (OR = 1.42; 95% CI, 1.26–1.59) for the highest NOx and PM2.5 exposure quartiles, respectively. The risk of VPTD increased 128% (OR = 2.28; 95% CI, 2.15–2.42) and 81% (OR = 1.81; 95% CI, 1.71–1.92) for women in the highest NOx and PM2.5 exposure quartiles, respectively.

Conclusion

Exposure to local traffic-generated air pollution during pregnancy increases the risk of preeclampsia and preterm birth in Southern California women. These results provide further evidence that air pollution is associated with adverse reproductive outcomes.  相似文献   

13.
Background: There is limited evidence in the literature regarding associations between fruit and vegetable consumption and risk of frailty. Objective: To examine associations between fruit and vegetable consumption and risk of incident frailty and incident prefrailty/frailty. Design: A prospective panel study. Setting and Subjects: 2634 non-frail community-dwelling men and women aged 60 years or older from the English Longitudinal Study of Ageing (ELSA). Methods: Fruit and vegetable consumption/day was measured using a self-completion questionnaire at baseline. Frailty status was measured at baseline and follow-up was based on modified frailty phenotype criteria. Four-year incident frailty was examined among 2634 robust or prefrail participants, and incident prefrailty/frailty was measured among 1577 robust participants. Results: Multivariable logistic regression models adjusted for age, gender, and other confounders showed that fruit and vegetable consumption was not associated with incident frailty risks among robust or prefrail participants. However, robust participants consuming 5–7.5 portions of 80 g per day (odds ratio (OR) = 0.56, 95% confidence interval (CI) = 0.37–0.85, p < 0.01) and 7.5–10 portions per day (OR = 0.46, 95%CI = 0.27–0.77, p < 0.01) had significantly lower risk of incident prefrailty/frailty compared with those consuming 0–2.5 portions/day, whereas those consuming 10 or more portions/day did not (OR = 1.10, 95%CI = 0.54–2.26, p = 0.79). Analysis repeated with fruit and vegetable separately showed overall similar results. Conclusions: Robust older adults without frailty who eat current U.K. government recommendations for fruit and vegetable consumption (5–10 portions/day) had significantly reduced risks of incident prefrailty/frailty compared with those who only eat small amount (0–2.5 portions/day). Older people can be advised that eating sufficient amounts of fruit and vegetable may be beneficial for frailty prevention.  相似文献   

14.
ObjectiveThis study aimed to investigate if exercise therapy and polypharmacy was associated with frailty state transitions for home care service recipients.DesignLongitudinal cohort-study using client-level health information collected using interRAI home care (RAI-HC) assessments.SettingPopulation-based study with Canadian home care clients in Alberta, British Columbia, Ontario and the Yukon.ParticipantsHome care clients aged 65 years and older.MethodsA Markov chain multistate transition logistic regression model was used to calculate ORs for state transitions with exercise therapy and polypharmacy as independent variables.ResultsIn total, 250,428 home care clients experiencing 402,005 frailty state transitions were included in the analyses. At baseline, 39.4% of clients were categorized as nonfrail, 30.2% were categorized as prefrail, and 30.4% were categorized as frail. Nonfrail clients using polypharmacy were more likely to become prefrail (OR 1.16) and frail (OR 1.11). Pre-frail clients using polypharmacy were more likely to become frail (OR 1.06), and they were less likely to become nonfrail (OR 0.80). Frail clients using polypharmacy were significantly less likely to become prefrail (OR 0.82) or nonfrail (OR 0.62). Nonfrail clients who participated in exercise therapy were more likely to become prefrail (OR 1.05). Prefrail clients who participated in exercise therapy were more likely to become nonfrail (OR 1.26). Frail clients who participated in exercise therapy were more likely to become nonfrail (OR 1.27) and prefrail (OR 1.12).Conclusions and ImplicationsThis study suggests that frailty among home care clients can be reversed. Frailty state improvement occurred significantly more often among home care clients receiving exercise therapy and significantly less often among clients with polypharmacy.  相似文献   

15.
BackgroundAmbient particulate air pollution is a major threat to the cardiovascular health of people. Inflammation is an important component of the pathophysiological process that links air pollution and cardiovascular disease (CVD). A classical marker of inflammation—C-reactive protein (CRP), has been recognized as an independent predictor of CVD risk. Exposure to ambient particulate matter (PM) may cause systemic inflammatory response but its association with CRP has been inconsistently reported.ObjectivesTo estimate the potential effects of short-term and long-term exposures to ambient particulate air pollution on circulating CRP level based on previous epidemiological studies.MethodsA systematic literature search of PubMed, Web of Science, Embase, and Scopus databases for publications up to January 2018 was conducted for studies reporting the association between ambient PM (PM2.5 or PM10, or both) and circulating CRP level. We performed a meta-analysis for the associations reported in individual studies using a random-effect model and evaluated the effect modification by major potential modifiers.ResultsThis meta-analysis comprised data from 40 observational studies conducted on 244,681 participants. These included 32 (27 PM2.5 studies and 13 PM10 studies) and 11 (9 PM2.5 studies and 5 PM10 studies) studies that investigated the associations of CRP with short-term and long-term exposure to particulate air pollution, respectively. A 10 μg/m3 increase in short-term exposure to PM2.5 and PM10 was associated with increases of 0.83 % (95% CI: 0.30%, 1.37%) and 0.39% (95% CI: -0.04%, 0.82%) in CRP level, respectively, and a 10 μg/m3 increase in long-term exposure to PM2.5 and PM10 was associated with much higher increases of 18.01% (95% CI: 5.96%, 30.06%) and 5.61% (95% CI: 0.79%, 10.44%) in CRP level, respectively. The long-term exposure to particulate air pollution was more strongly associated with CRP level than short-term exposure and PM2.5 had a greater effect on CRP level than PM10.ConclusionExposure to ambient particulate air pollution is associated with elevated circulating CRP level suggesting an activated systemic inflammatory state upon exposure, which may explain the association between particulate air pollution and CVD risk.  相似文献   

16.

Background

Associations between long-term exposure to air pollution and carotid intima-media thickness (CIMT) have inconsistent findings.

Objectives

In this study we aimed to evaluate association between 1-year average exposure to traffic-related air pollution and CIMT in middle-aged adults in Asia.

Methods

CIMT was measured in Taipei, Taiwan, between 2009 and 2011 in 689 volunteers 35–65 years of age who were recruited as the control subjects of an acute coronary heart disease cohort study. We applied land-use regression models developed by the European Study of Cohorts for Air Pollution Effects (ESCAPE) to estimate each subject’s 1-year average exposure to traffic-related air pollutants with particulate matter diameters ≤ 10 μm (PM10) and ≤ 2.5 μm (PM2.5) and the absorbance levels of PM2.5 (PM2.5abs), nitrogen dioxide (NO2), and nitrogen oxides (NOx) in the urban environment.

Results

One-year average air pollution exposures were 44.21 ± 4.19 μg/m3 for PM10, 27.34 ± 5.12 μg/m3 for PM2.5, and (1.97 ± 0.36) × 10–5/m for PM2.5abs. Multivariate regression analyses showed average percentage increases in maximum left CIMT of 4.23% (95% CI: 0.32, 8.13) per 1.0 × 10–5/m increase in PM2.5abs; 3.72% (95% CI: 0.32, 7.11) per 10-μg/m3 increase in PM10; 2.81% (95% CI: 0.32, 5.31) per 20-μg/m3 increase in NO2; and 0.74% (95% CI: 0.08, 1.41) per 10-μg/m3 increase in NOx. The associations were not evident for right CIMT, and PM2.5 mass concentration was not associated with the outcomes.

Conclusions

Long-term exposures to traffic-related air pollution of PM2.5abs, PM10, NO2, and NOx were positively associated with subclinical atherosclerosis in middle-aged adults.

Citation

Su TC, Hwang JJ, Shen YC, Chan CC. 2015. Carotid intima–media thickness and long-term exposure to traffic-related air pollution in middle-aged residents of Taiwan: a cross-sectional study. Environ Health Perspect 123:773–778; http://dx.doi.org/10.1289/ehp.1408553  相似文献   

17.
Although traffic emits both air pollution and noise, studies jointly examining the effects of both of these exposures on blood pressure (BP) in children are scarce. We investigated associations between land-use regression modeled long-term traffic-related air pollution and BP in 2368 children aged 10 years from Germany (1454 from Munich and 914 from Wesel). We also studied this association with adjustment of long-term noise exposure (defined as day–evening–night noise indicator “Lden” and night noise indicator “Lnight”) in a subgroup of 605 children from Munich inner city. In the overall analysis including 2368 children, NO2, PM2.5 mass (particles with aerodynamic diameters below 2.5 μm), PM10 mass (particles with aerodynamic diameters below 10 μm) and PM2.5 absorbance were not associated with BP. When restricting the analysis to the subgroup of children with noise information (N = 605), a significant association between NO2 and diastolic BP was observed (−0.88 (95% confidence interval: −1.67, −0.08)). However, upon adjusting the models for noise exposure, only noise remained independently and significantly positively associated with diastolic BP. Diastolic BP increased by 0.50 (−0.03, 1.02), 0.59 (0.05, 1.13), 0.55 (0.03, 1.07), and 0.58 (0.05, 1.11) mmHg for every five decibel increase in Lden and by 0.59 (−0.05, 1.22), 0.69 (0.04, 1.33), 0.64 (0.02, 1.27), and 0.68 (0.05, 1.32) mmHg for every five decibel increase in Lnight, in different models of NO2, PM2.5 mass, PM10 mass and PM2.5 absorbance as the main exposure, respectively. In conclusion, air pollution was not consistently associated with BP with adjustment for noise, noise was independently and positively associated with BP in children.  相似文献   

18.

Purpose

To investigate the effect of early frailty transitions on 15-year mortality risk.

Methods

Longitudinal data analysis of the Hispanic Established Populations for the Epidemiological Study of the Elderly involving 1171 community-dwelling Mexican Americans aged ≥67 years and older. Frailty was determined using the modified frailty phenotype, including unintentional weight loss, weakness, self-reported exhaustion, and slow walking speed. Participants were defined at baseline as nonfrail, prefrail, or frail and divided into nine transition groups, during a 3-year observation period.

Results

Mean age was 77.0 years (standard deviation [SD] = 5.3) and 59.1% were female. Participants who transitioned from prefrail to frail (hazard ratio [HR] = 1.68, 95% confidence interval [CI] = 1.23–2.28), frail to prefrail (HR = 1.54, 95% CI = 1.05–2.28); or who remained frail (HR = 1.72, 95% CI = 1.21–2.44), had significant higher 15-year mortality risk than those who remained nonfrail. Participants transitioning from frail to nonfrail had a similar 15-year mortality risk as those who remained nonfrail (HR = 0.96, 95% CI = 0.53–1.72). Weight loss and slow walking speed were associated with transitions to frailty.

Conclusions

An early transition from frail to nonfrail in older Mexican Americans was associated with a 4% decrease in mortality compared with those who remained nonfrail, although this difference was not statistically significant. Additional longitudinal research is needed to understand positive transitions in frailty.  相似文献   

19.
ObjectiveTo evaluate the difference in resilience across frailty status by measuring the impact of unplanned hospitalization across people with different frailty condition on (1) 2-year changes in lean mass, physical performance, and quality of life, and (2) subsequent hospitalization.DesignA prospective cohort study.Setting and ParticipantsThree thousand seventeen older people (73.7 ± 4.9 years) were recruited from the community in Hong Kong.MethodsFrailty status was defined using the Cardiovascular Health Study scale at baseline. Unplanned hospitalization between the 2 visits was obtained from the Hong Kong Hospital Authority. The interaction of frailty and hospitalization status on the 2-year changes in lean mass, physical performance, and quality of life were examined using 2-way analysis of covariance. Risk of subsequent hospitalization was estimated using Poisson regression. The effect of prolonged hospitalization, which was defined as 6 or more total hospitalized days, was also examined.ResultsUpon unplanned hospitalization, frail older people had significantly augmented decline than prefrail and robust people in appendicular skeletal mass (?0.44 ± 0.08 kg), height-adjusted appendicular skeletal mas (?0.13 ± 0.03 kg/m2), 5-time chair-stand (4.79 ± 0.60 s), and mental health (?3.72 ± 0.88). The reduction increased with the length of hospitalization. Unplanned hospitalization conferred an augmented risk of subsequent hospitalization for those who were prefrail and frail (IRR = 1.44, 95% confidence interval = 1.30-1.59 and IRR = 1.69, 95% confidence interval = 1.45-1.97, respectively).Conclusions and ImplicationsThe resilience of older people varies according to their frailty status, and the poor resilience may translate to a higher chance of having subsequent hospitalization for prefrail and frail people. These findings emphasized the importance of having the frailty screening in making posthospitalization plans for older people depending on their frailty status and encouraging prefrail and frail older people to build up their resilience.  相似文献   

20.
ObjectivesTo develop short versions of the Frailty Trait Scale (FTS) for use in clinical settings.DesignProspective population-based cohort study.Setting and ParticipantsData from 1634 participants from the Toledo Study for Healthy Aging.MethodsThe 12-item Frailty Trait Scale (FTS) reduction was performed based on an area under the curve (AUC) analysis adjusted by age, sex, and comorbidity. Items that maximized prognostic information for adverse events were selected. Each item score was done at the same time as the reduction, identifying the score that maximized the predictive ability for adverse events. For each short version of the FTS, cutoffs that optimized the prognostic information (sensitivity and specificity) were chosen, and their predictive value was later compared with a surrogate gold standard for frailty (the Fried Phenotype).ResultsTwo short forms, the 5-item (FTS5) (range 0-50) and 3-item (FTS3) (range 0-30), were identified, both with AUCs for health adverse events similar to the 12-item FTS. The identified cutoffs were >25 for the FTS5 scale and >15 for the FTS3. The frailty prevalence with these cutoffs was 24% and 20% for the FTS5 and FTS3, respectively, whereas frailty according to Fried Phenotype (FP) reached 8% and prefrailty reached 41%. In general, the FTS5 showed better prognostic performance than the FP, especially with prefrail individuals, in whom the FTS5 form identified 65% of participants with an almost basal risk and 35% with a very high risk for mortality (OR: 4) and frailty (OR: 6.6-8.7), a high risk for hospitalization (OR: 1.9-2.1), and a moderate risk for disability (OR: 1.7) who could be considered frail. The FTS3 form had worse performance than the FTS5, showing 31% of false negatives between frail participants identified by FP with a high risk of adverse events.Conclusions and ImplicationsThe FTS5 is a short scale that is easy to administer and has a similar performance to the FTS, and it can be used in clinical settings for frailty diagnosis and evolution.  相似文献   

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