scholarly journals Haemoglobin A1c, fasting glucose and future risk of elevated depressive symptoms over 2 years of follow-up in the English Longitudinal Study of Ageing

2011 ◽  
Vol 41 (9) ◽  
pp. 1889-1896 ◽  
Author(s):  
M. Hamer ◽  
G. D. Batty ◽  
M. Kivimaki
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Glucose Metabolism ◽  
Fasting Glucose ◽  
Community Dwelling ◽  
English Longitudinal Study ◽  
Hba1c Levels

BackgroundThe cross-sectional association between impaired glucose/diabetes and depression is inconsistent. We examined the longitudinal associations between diabetes, indicators of glucose metabolism and depressive symptoms over 2 years of follow-up.MethodParticipants were 4338 men and women from the English Longitudinal Study of Ageing, a prospective study of community-dwelling older adults [aged 62.9 (s.d.=9.0) years, 45.2% men]. Depressive symptoms were assessed at baseline and after 2 years of follow-up using the eight-item Centre of Epidemiological Studies – Depression (CES-D) scale. Glycated haemoglobin (HbA1c) levels, fasting glucose and other biological and behavioural risk factors were also assessed at baseline.ResultsApproximately 11.5% of the sample were categorized with elevated depressive symptoms at follow-up (a score ⩾4 on the CES-D). There was an association between HbA1c and depressive symptoms at follow-up [per unit increase, odds ratio (OR) 1.17, 95% confidence interval (CI) 1.03–1.33] after adjustment for age and baseline CES-D. Cross-sectionally, the probability of depressive symptoms increased with increasing HbA1c levels until the value of 8.0% after which there was a plateau [p(curve)=0.03]. Compared with those with normal fasting glucose, participants with diabetes (confirmed through self-report or elevated fasting blood glucose) at baseline had an elevated risk of depressive symptoms at follow-up (OR 1.52, 95% CI 1.01–2.30) after adjusting for depressive symptoms at baseline, behavioural and sociodemographic variables, adiposity and inflammation.ConclusionsThese data suggest that poor glucose metabolism and diabetes are risk factors for future depression in older adults. There was no evidence of a U-shaped association.

scholarly journals Gender-specific risk factors for incident sarcopenia: 8-year follow-up of the English longitudinal study of ageing

2018 ◽  
Vol 73 (1) ◽  
pp. 86-88 ◽  
Author(s):  
Lin Yang ◽  
Lee Smith ◽  
Mark Hamer
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Longitudinal Study ◽  
Large Population ◽  
Community Dwelling ◽  
Inverse Association ◽  
Specific Risk ◽  
Gender Specific ◽  
English Longitudinal Study

BackgroundThe aetiology of age-related sarcopenia is not known.ObjectivesTo investigate if risk of developing sarcopenia differs by gender and to identify gender-specific risk factors of incident sarcopenia in a large population-based cohort of older English adults.MethodsThe sample (n=3404; age 63.4 (SD 7.7) years; 54.1% women) comprised older community-dwelling adults recruited from the English Longitudinal Study of Ageing. Sarcopenia was defined as handgrip <26 kg in men and <16 kg in women. Handgrip strength was assessed at baseline (2004/2005) and repeated at follow-up (2012/2013). Analysed risk factors included baseline anthropometric measures, smoking, vigorous and moderate physical activity, depressive symptoms, chronic illnesses and wealth. After excluding participants with sarcopenia at baseline, multivariable logistic regressions were used to explore baseline risk factors for incident sarcopenia.ResultsDuring 8-year follow-up, 208 and 287 cases of sarcopenia were identified in men (n=1564) and women (n=1840), respectively. Women were at 20% (age adjusted OR=1.20, 95% CI 0.98 to 1.47) higher risk of developing sarcopenia than men. The inverse association between physical activity and sarcopenia risk was observed at moderate (OR=0.44, 95% CI 0.27 to 0.67) and vigorous (0.53, 95% CI 0.31 to 0.82) intensities in men and only vigorous (OR=0.44, 95% CI 0.28 to 0.68) intensity in women. Social factors, such as wealth, and chronic health conditions appeared to be more strongly associated with sarcopenia in men.ConclusionWomen are at higher risk of developing incident sarcopenia than men, and this is likely explained by a range of gender-specific risk factors.

scholarly journals Incidence and risk factors of depressive symptoms in 4 years of follow-up among mid-aged and elderly community-dwelling Chinese adults: findings from the China Health and Retirement Longitudinal Study

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e029529 ◽  
Author(s):  
Yue Wen ◽  
Chunjuan Liu ◽  
Jing Liao ◽  
Yiqiong Yin ◽  
Dongmei Wu
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Health Status ◽  
Representative Sample ◽  
Lower Risk ◽  
Community Dwelling ◽  
Chinese Adults ◽  
Nationally Representative

ObjectivesThe purpose of this study was to examine the incidence of depressive symptoms, and determine if baseline risk factors conferred a risk for incident depressive symptoms in nationally representative sample of mid-aged and elderly Chinese adults.DesignThis study was a secondary analysis of a prospective cohort from a nationally representative sample.SettingCommunity samples were recruited from the baseline survey of the China Health and Retirement Longitudinal Study. A four-stage, stratified, cluster probability sampling strategy was used, which included 10 257 households with members aged 45 years or older and their spouse.ParticipantsA total of 11 533 participants free of depressive symptoms at baseline were identified, and 10 288 were re-examined in either the first and/or the second follow-up surveys. The current analysis was conducted among the 10 288 participants.Primary and secondary outcome measuresDepressive symptoms were measured by the Center for Epidemiological Studies Depression Scale short form.ResultsThe findings showed that the incidence of depressive symptoms in a 4-year follow-up was as high as 22.3%. The incidence was much higher in rural areas (25.7%) and in women (27.9%). Furthermore, participants with 1 hour longer of night-time sleep had a 10% lower risk of developing depressive symptoms. Compared with individuals who perceived their health status as poor, those who perceived their health status as excellent had a 62% lower risk of developing depressive symptoms. In addition, having diabetes (OR=1.19), chronic kidney disease (OR=1.32), chronic digestive disorders (OR=1.15) and arthritis (OR=1.43) at baseline increased the risk of depressive symptoms. However, baseline body mass index was not associated with the subsequent depressive symptoms in this population.ConclusionsThis study highlights the importance of developing an appropriate screening test to identify depressive symptoms for those who are vulnerable and ensure these individuals can receive early interventions for depressive symptoms.

scholarly journals Multimorbidity patterns and memory trajectories in older adults: Evidence from the English Longitudinal Study of Ageing

2021 ◽  
Author(s):  
Rebecca Bendayan ◽  
Yajing Zhu ◽  
A D Federman ◽  
R J B Dobson
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Latent Class ◽  
Health Behaviours ◽  
Health Conditions ◽  
Delayed Recall ◽  
Class 1 ◽  
English Longitudinal Study ◽  
Psychiatric Problems

Abstract Background We aimed to examine the multimorbidity patterns within a representative sample of UK older adults and their association with concurrent and subsequent memory. Methods Our sample consisted of 11,449 respondents (mean age at baseline was 65.02) from the English Longitudinal Study of Ageing (ELSA). We used fourteen health conditions and immediate and delayed recall scores (IMRC and DLRC) over 7 waves (14 years of follow up). Latent class analyses were performed to identify the multimorbidity patterns and linear mixed models were estimated to explore their association with their memory trajectories. Models were adjusted by socio-demographics, BMI and health behaviors. Results Results showed 8 classes: Class 1:Heart Disease/Stroke (26%), Class 2:Asthma/Lung Disease (16%), Class 3:Arthritis/Hypertension (13%), Class 4:Depression/Arthritis (12%), Class 5:Hypertension/Cataracts/Diabetes (10%), Class 6:Psychiatric Problems/Depression (10%), Class 7:Cancer (7%) and Class 8:Arthritis/Cataracts (6%). At baseline, Class 4 was found to have lower IMRC and DLRC scores and Class 5 in DLRC, compared to the no multimorbidity group (n=6380, 55.72% of total cohort). For both tasks, in unadjusted models, we found an accelerated decline in Classes 1, 3 and 8; and, for DLRC, also in Classes 2 and 5. However, it was fully attenuated after adjustments. Conclusions These findings suggest that individuals with certain combinations of health conditions are more likely to have lower levels of memory compared those with no multimorbidity and their memory scores tend to differ between combinations. Socio-demographics and health behaviours have a key role to understand who is more likely to be at risk of an accelerated decline.

scholarly journals Orientation and verbal fluency in the English Longitudinal Study of Ageing: modifiable risk factors for falls?

2018 ◽  
Vol 31 (10) ◽  
pp. 1491-1498 ◽  
Author(s):  
T. O. Smith ◽  
S. R. Neal ◽  
G. Peryer ◽  
K. J. Sheehan ◽  
M. P. Tan ◽  
...  
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Verbal Fluency ◽  
Functional Performance ◽  
Community Dwelling ◽  
Cognitive Domain ◽  
Cognitive Domains ◽  
Risk Factors For Falls ◽  
Prospective Longitudinal ◽  
English Longitudinal Study

ABSTRACTObjectives:To determine the relationship between falls and deficits in specific cognitive domains in older adults.Design:An analysis of the English Longitudinal Study of Ageing (ELSA) cohort.Setting:United Kingdom community-based.Participants:5197 community-dwelling older adults recruited to a prospective longitudinal cohort study.Measurements:Data on the occurrence of falls and number of falls, which occurred during a 12-month follow-up period, were assessed against the specific cognitive domains of memory, numeracy skills, and executive function. Binomial logistic regression was performed to evaluate the association between each cognitive domain and the dichotomous outcome of falls in the preceding 12 months using unadjusted and adjusted models.Results:Of the 5197 participants included in the analysis, 1308 (25%) reported a fall in the preceding 12 months. There was no significant association between the occurrence of a fall and specific forms of cognitive dysfunction after adjusting for self-reported hearing, self-reported eyesight, and functional performance. After adjustment, only orientation (odds ratio [OR]: 0.80; 95% confidence intervals [CI]: 0.65–0.98, p = 0.03) and verbal fluency (adjusted OR: 0.98; 95% CI: 0.96–1.00; p = 0.05) remained significant for predicting recurrent falls.Conclusions:The cognitive phenotype rather than cognitive impairmentper semay predict future falls in those presenting with more than one fall.

Risk factors for future falls among community-dwelling older adults without a fall in the previous year: A prospective one-year longitudinal study

2020 ◽  
Vol 91 ◽  
pp. 104161 ◽  
Author(s):  
Jaqueline Mello Porto ◽  
Natália Camargo Rodrigues Iosimuta ◽  
Renato Campos Freire Júnior ◽  
Roberta de Matos Brunelli Braghin ◽  
Érika Leitner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Longitudinal Study ◽  
Community Dwelling ◽  
One Year ◽  
Community Dwelling Older Adults

Factors Associated With Multimorbidity Patterns in Older Adults in England: Findings From the English Longitudinal Study of Aging (ELSA)

2019 ◽  
Vol 32 (9) ◽  
pp. 1120-1132 ◽  
Author(s):  
Hai Nguyen ◽  
Kia-Chong Chua ◽  
Alexandru Dregan ◽  
Silia Vitoratou ◽  
Ivet Bayes-Marin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Longitudinal Study ◽  
Latent Class ◽  
Future Research ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Class B ◽  
Lifestyle Risk ◽  
English Longitudinal Study

Objective: We aimed to identify the patterns of multimorbidity in older adults and explored their association with sociodemographic and lifestyle risk factors. Method: The sample included 9,171 people aged 50+ from Wave 2 of the English Longitudinal Study of Aging (ELSA). Latent Class Analysis (LCA) was performed on 26 chronic diseases to determine clusters of common diseases within individuals and their association with sociodemographic and lifestyle risk factors. Result: Three latent classes were identified: (a) a cardiorespiratory/arthritis/cataracts class, (b) a metabolic class, and (c) a relatively healthy class. People aged 70 to 79 were 9.91 times (95% Confidence Interval [CI] = [5.13, 19.13]) more likely to be assigned to the cardiorespiratory/arthritis/cataracts class, while regular drinkers and physically inactive people were 0.33 times (95% CI = [0.24, 0.47]) less likely to be assigned to this class. Conclusion: Future research should investigate these patterns further to gain more insights into the needs of people with multimorbidity.

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