Sex-Specific Association Between Socioeconomic Status, Lifestyle, and the Risk of Frailty Among the Elderly in China

Wang, Huaiyu; Zhang, Mufan; Sun, Xiaojing

doi:10.3389/fmed.2021.775518

Cited by 10 publications

(8 citation statements)

References 35 publications

(66 reference statements)

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“…We show that in older adults aged ≥65 years, participants who consistently engaged in high levels of light or heavy housework over time were significantly less likely (~40%) to become prefrail/frail at follow-up. This is in agreement with a previous longitudinal study in older Chinese adults which showed that housework participation at baseline was independently associated with lower risk of incident physical phenotype of frailty at follow-up [ 36 ]. We used a different measure of frailty (Frailty Index) which represents a broader construct of frailty that reflects multisystem functional and physiological decline, and which includes psychological, biological and social domains.…”

Section: Discussionsupporting

confidence: 93%

Longitudinal associations of housework with frailty and mortality in older adults: Singapore Longitudinal Ageing Study 2

et al. 2022

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Background Housework may provide a sustainable form of physical activity for older adults and improve health and survival outcomes. Longitudinal studies on associations between housework status over time and health outcomes are lacking. We aim to assess the longitudinal association of intensity and duration of housework with frailty and mortality outcomes. Methods Among 3270 community-dwelling prospective cohort study participants, aged ≥55 years, data on light housework (N=2996) and heavy housework (N=3022) were available at baseline (March 6, 2009, to June 11, 2013) and follow-up at 3 to 5 years later, (January 16, 2013 to August 24, 2018). Median time spent per week on light (≥420min/week) and heavy (>0min/week) household activities at baseline and follow-up were used to categorise individuals into three groups (i) consistent low levels of housework at both baseline and follow-up, (ii) inconsistent high levels of housework at either baseline or follow-up and (iii) consistent high levels of housework at both baseline and follow-up. Baseline and follow-up frailty index >0.10, and all-cause, cancer and cardiovascular mortality from mean 9.5 years follow-up to March 31, 2021. Effect estimates were adjusted for socio-demographics, nutritional risk, lifestyle and other physical activities. Results Overall, participants had mean [SD] age, 66.9 [7.8] years; 1916 [62.7%] were female. Participation in high levels of light and heavy housework consistently over time was associated with decreased odds of prefrailty/frailty at follow-up, [OR,0.61;95%CI,0.40–0.94] and [OR,0.56;95%CI,0.34–0.90] respectively, in the older group aged ≥65, compared to participants with consistent low levels of housework at baseline and follow-up. Sex-stratified analysis revealed an association between regular heavy housework participation and lower prevalence of prefrailty/frailty at follow-up in older men but not women [OR,0.31;95%CI,0.13–0.72]. Regular participation in high levels of light housework was associated with 41% lower risk of all-cause mortality [95%CI,0.36–0.96] in women but not in men, and 54% lower risk of cardiovascular mortality [95%CI,0.22–0.96]. Conclusions Regular participation in above average levels of light housework is associated with decreased odds of prefrailty/frailty in older adults aged ≥65 years, and all-cause mortality in older women. Heavy housework participation is associated with decreased odds of prefrailty/frailty, especially in older men aged ≥65. Housework may be a meaningful occupation for older adults and should be encouraged for health and wellbeing.

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Section: Discussionsupporting

confidence: 93%

Longitudinal associations of housework with frailty and mortality in older adults: Singapore Longitudinal Ageing Study 2

et al. 2022

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“…Finally, there are 36 studies [4,5,8–41] with 58,028 people included in this systematic-review. Data extraction included the baseline characteristics of aging adults, their lifestyle habits, their accompanying diseases, and whether they had experienced falls.…”

Section: Methodsmentioning

confidence: 99%

“…Several recent studies have identified severity of frailty across various conditions, including old age, female sex, and reduced concentration and motivation. [4,5,8–41] However, high-quality systematic reviews are still in demand. Overall, we conducted this project to study the risk factors for frailty.…”

Section: Introductionmentioning

confidence: 99%

Risk factors for frailty in older adults

Wang

2022

Medicine

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Aims: To clarify the risk factors for frailty to help doctors prevent diseases that cause weakness, through early interventions. Methods: We searched the PubMed, EMBASE, and Cochrane Library databases to identify all relevant studies using the items “frailty,” “weak,” “risk factors,” and “predictive factors” and compared their results. The aging population (≥65 years old) was divided into 2 groups, a “frailty group” and a “robust control group,” and then the characteristics, lifestyles, and comorbidities were compared. Results: We compared the influence of baseline and concomitant diseases on frailty in the elderly respectively, and the analysis of the influence of baseline on frailty found that increasing age, lower weight, female sex, living alone, low levels of exercise, polypharmacy, higher education level, smoking, drinking, malnutrition, and lower vitamin D levels were associated with aging individuals being more likely to experience frailty. The data about concomitant diseases had shown that diabetes, hearing dysfunction, cognitive impairment, poor sleep, a history of falls, pain, and depression can increase the risk of frailty among the elderly population. Conclusion: Characteristics, comorbidities, and lifestyle factors can impact the occurrence of frailty, and relevant influencing factors should be considered.

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“…Older women have less skeletal muscle mass and more fat mass compared with older men [38] , which is associated with postmenopausal estrogen depletion in older women [39] . Furthermore, a study mentioned that older Chinese women often engage in high-intensity activities, such as housework, daycare, and other complex activities, with little exercise, which is more likely to accumulate functional and physical injury to promote the progress of frailty by checking up gender differences in frailty from multiple perspectives containing physiology, behavior, and sociology [40] .…”

Section: The Nomogram Model Had Better Discrimination and Calibration...mentioning

confidence: 99%

Nomogram Model for Screening the Risk of Frailty in Elderly Atrial Fibrillation Patients: A cross-sectional study

Sun

Zhang

et al. 2022

Preprint

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Background Frailty is common in atrial fibrillation(AF)patients, but its related risk factors need to be further investigated. Furthermore, a risk prediction model based on risk factors urgently needed to be established to remind risk among AF patients. Purpose This study aimed to explore the multiple risk factors of frailty in elderly patients with atrial fibrillation(AF) and then construct and validate a nomogram risk prediction model to remind frailty events in this population. Methods A total of 337 hospitalized patients over 60(average age: 69, 53.1% male)with AF in Tianjin Medical University General Hospital from November 2021 to August 2022 were recruited. Patients were assessed for frailty with the FRAIL scale and then assigned into the groups, robust, pre-frail, and frail. The Least absolute shrinkage and selection operator (LASSO) and the Ordinal regression were utilized to screen independent risk factors. Subsequently, gather the factors in a nomogram to predict the risk among the AF population. The concordance index (C-index) and calibration curves were utilized to evaluate the performance of the nomogram model. Results The prevalence of frail and pre-frail were 23.1% and 52.2% among AF patients, respectively. A total of six predictors for frailty were screened out containing age, gender, history of coronary heart disease, number of chronic diseases, sleep disruption, and mental health status. The C-index of internal and external validation for the nomogram model were 0.821(95%CI: 0.778–0.864; bias corrected C-index: 0.795) and 0.837(95%CI: 0.780–0.893; bias corrected C-index: 0.774), respectively, indicating its favourable discriminative ability. Both internally and externally validated calibration charts were highly consistent with the ideal curve, illustrating that the model had a good predictive ability. Conclusion Frailty was common in the AF population, and the nomogram model has a great discriminative and predictive probability which can identify frailty risk incidents in elderly AF patients.

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Sex-Specific Association Between Socioeconomic Status, Lifestyle, and the Risk of Frailty Among the Elderly in China

Cited by 10 publications

References 35 publications

Longitudinal associations of housework with frailty and mortality in older adults: Singapore Longitudinal Ageing Study 2

Longitudinal associations of housework with frailty and mortality in older adults: Singapore Longitudinal Ageing Study 2

Risk factors for frailty in older adults

Nomogram Model for Screening the Risk of Frailty in Elderly Atrial Fibrillation Patients: A cross-sectional study

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