Gender differences in the association between perceived income sufficiency and self-rated health among older adults: A population-based study in India

Decomposition and comparative analysis of health inequities between the male and female older adults in China: a national cross-sectional study

BACKGROUND

This study aimed to examine the factors influencing self-rated health (SRH) among Chinese older adults by gender differences and provide suggestions and theoretical references to help make policies for older adults' health concerns by government agencies.

METHODS

Chinese Longitudinal Health Longevity Survey (CLHLS) in 2018 was adopted, the chi-squared test and the logistic regression analysis were performed to analyse self-rated health reported by Chinese female and male older adults and its influencing factors. In addition, Fairlie decomposition analysis was performed to quantify the contribution level of different influencing factors.

RESULTS

Among older adults, males (48.0%) reported a significantly higher level of good self-rated health than females (42.3%). Residence, body mass index (BMI), self-reported income, smoking, drinking, exercise, and social activity were the factors that influenced SRH reported by male and female respondents, with age, marital status and education reaching the significance level only in women. The Fairlie decomposition model can explain the underlying reasons for 86.7% of the gender differences in SRH, with self-reported income (15.3%), smoking (32.7%), drinking (42.5%), exercise (17.4%), social activity (15.1%) and education (-14.6%) being the major factors affecting gender differences in SRH.

CONCLUSIONS

The study results can help promote the implementation of the Healthy China Initiative, inform intervention measures, and offer new proposals on creating policies for older adults' health issues by the Chinese government to improve health equity.

Prevalence of early and late onset of chronic diseases and multimorbidity and its association with physical, mental and functional health among older Indian adults

BACKGROUND

Identifying people with early and late onset of chronic conditions might help target the subpopulations that are more vulnerable to negative mental, physical and functional health outcomes. The current study aimed to examine the association of early and late onset of chronic single and multiple morbidities with self-perceived physical and mental health, functional limitations and physical inactivity among older Indian adults.

METHODS

Cross-sectional study was conducted using data from the Longitudinal Ageing Study in India (LASI) Wave 1 (2017-2018). The total sample size for the present study was 31,386 older adults age 60 years or older. Multivariable binary logistic regression analysis was used to establish the association between the outcomes (poor perceived physical/mental health, functional difficulty and physical inactivity) and explanatory variables (early [ = < 50 years of age] and late [> 50 years]) onset of chronic illnesses such as hypertension, diabetes, heart attack, heart disease, stroke, cancer, lung disease, arthritis, osteoporosis and psychiatric disease).

RESULTS

Overall, 24.21% of the sample population had poor self-perceived physical health, whereas 8.67% of participants had poor self-perceived mental health. The prevalence of difficulty in ADL, difficulty in IADL, and physical inactivity was 23.77%, 48.36%, and 68.9%, respectively. Odds of poor perceived mental health were higher for the respondents with early as well as late onset of hypertension, stroke, and arthritis; while individuals with late onset of diabetes, and heart disease had higher odds of poor perceived mental health than those without chronic disease. Individuals with early onset of single morbidity were more likely to report ADL difficulty (adjusted odds ratio [AOR]: 1.33, confidence interval [CI]: 1.06-1.67); while those with late onset of single (AOR: 1.34, CI: 1.17-1.53) and multimorbidity (AOR: 1.91, CI: 1.63-2.24) were more likely to report ADL difficulty compared with individuals without morbidity. Individuals with early as well as late-onset of multimorbidity had more than two times higher odds of reporting poor physical health, poor mental health and IADL difficulty compared with individuals without chronic disease.

CONCLUSIONS

The present study revealed that early and/or late onset of chronic single and/or multiple morbidities significantly predicted poor self-perceived physical and mental health, functional limitations and physical inactivity among older Indian adults. The findings further suggest that late onset of chronic diseases such as cancer and stroke and multi-morbidity had stronger associations with physical inactivity that may help identify high risk groups for screening and support.

Migration status, physical limitations and associated self-rated health: a study of older Indian adults

BACKGROUND

Migrant status with mobility impairment becomes a double burden for health and wellbeing of older adults. This study examined the independent relationships and multitude effects between migrant status, functional and mobility impairments and poor self-rated health (SRH) among older Indian adults.

METHODS

This study utilised nationally representative Longitudinal Ageing Study in India wave-1 (LASI) data, including a sample of 30,736 individuals aged 60 years and above. The main explanatory variables were migrant status, difficulty in activities of daily living (ADL), difficulty in instrumental activities of daily living (IADL) and mobility impairments; and the outcome variable was poor-SRH. Multivariable logistic regression and stratified analyses were used to fulfil the study objectives.

RESULTS

Overall, about 23% of older adults reported poor-SRH. Reporting poor-SRH was more prevalent (28.03%) among recent migrants (less than ten years). The prevalence of reporting poor-SRH was significantly higher among older adults who had mobility impairment (28.65%), difficulty in ADL or IADL (40.82% & 32.57%). Migrant older adults (regardless of duration) who had mobility impairment had significantly greater odds of reporting poor-SRH compared with non-migrant older adults who did not have mobility impairment. Similarly, older respondents who had problems in ADL and IADL with migration status had higher odds of reporting poor-SRH than their non-migrant counterparts with no such problems.

CONCLUSIONS

The study revealed the vulnerability of migrant older adults with functional and mobility disability, as well as those with limited socioeconomic resources and suffering from multimorbidity on rating their perceived health. The findings can be utilised to target outreach programmes and provision of services for migrating older individuals with mobility impairments and enhance their perceived health and ensure active ageing.

Decomposition analysis of health inequalities between the urban and rural oldest-old populations in China: Evidence from a national survey

The number of Chinese oldest-old (aged 80+) is growing rapidly and some studies have shown that the health status is unequal among older persons in different regions. However, to the best of our knowledge, no study to date has analyzed health inequalities among the oldest-old in urban and rural areas in China. This study therefore aimed to examine the correlation between health inequalities among the oldest-old in urban and rural areas of China. From the 8th wave of the Chinese Longitudinal Health Longevity Survey (CLHLS), we selected 8124 oldest-old participants who met the requirements of the study. Chi-square tests were used to analyze the distribution characteristics of indicators and a logistic model was performed to determine the factors associated with different self-rated health (SRH). The Fairlie model was adopted to decompose the causes and related contributions to health inequality. Our results found that of the Chinese oldest-old, 46.57% were in good health. Urban residents reported significantly better SRH than rural residents (50.17% vs. 45.13%). Variables associated with good and poor SRH had different distribution characteristics. The logistic model suggested that marital status, alcohol consumption, and annual income were important factors underlying the SRH differences. Our decomposition analysis indicated that 76.64% of the SRH differences were caused by observational factors, and validated that the difference in SRH between urban and rural areas was significantly (P<0.05) associated with exercise status (45.44%), annual income (37.64%), social activity status (3.75%), age (-5.27%), and alcohol consumption (-2.66%). Therefore, socioeconomic status and individual lifestyle status were the main factors underlying the health inequality between urban and rural Chinese oldest-old.

Association of objective and subjective socioeconomic markers with cognitive impairment among older adults: cross-sectional evidence from a developing country

OBJECTIVE

This study explored how various markers of objective and subjective socioeconomic status (SES) are associated with cognitive impairment among older Indian adults.

DESIGN

A cross-sectional study was conducted using large nationally representative survey data.

SETTING AND PARTICIPANT

This study used data from the Longitudinal Ageing Study in India (2017-2018). The sample included 31 464 older adults aged 60 years and above.

PRIMARY AND SECONDARY OUTCOME MEASURES

Outcome variable was cognitive impairment, measured through broad domains of memory, orientation, arithmetic function, and visuo-spatial and constructive skills. We estimated descriptive statistics and presented cross-tabulations of the outcome. Χ2 test was used to evaluate the significance level of differences in cognitive impairment by subjective (ladder) and objective SES measures (monthly per-capita consumption expenditure (MPCE) quintile, education and caste status). Multivariable linear and logistic regression analyses were conducted to fulfil the objectives.

RESULTS

A proportion of 41.7% and 43.4% of older adults belonged to low subjective (ladder) and objective (MPCE) SES, respectively. Older adults with low subjective (adjusted OR (aOR): 2.04; p<0.05) and objective SES (aOR: 1.32; p<0.05) had higher odds of having cognitive impairment in comparison with their counterparts, with a stronger subjective SES-cognitive impairment association. Older adults with lower education or belonged to lower caste had higher odds of cognitive impairment than their counterparts. Interaction analyses revealed that older adults who belonged to lower subjective and objective (poorest MPCE quintile, Scheduled Castes and lowest education) SES had 2.45 (CI: 1.77 to 3.39), 4.56 (CI: 2.97 to 6.98) and 54.41 (CI: 7.61 to 388.93) higher odds of cognitive impairment than those from higher subjective and objective SES, respectively.

CONCLUSION

Subjective measures of SES were linked to cognitive outcomes, even more strongly than objective measures of SES; considering the relative ease of obtaining such measures, subjective SES measures are a promising target for future study on socioeconomic indicators of cognitive impairment.

Morbidity status and changes in difficulty in activities of daily living among older adults in India: A panel data analysis

Introduction

The study explored the socioeconomic and demographic factors that determine the onset of difficulty, recovery from difficulty and difficulty remaining in functional activity in later years of life. Additionally, the study examined the effects of several combinations of chronic diseases on the changes in later-life functional difficulty.

Methods

We used data from two rounds of India Human Development Survey (IHDS) conducted during 2004–2005 and 2011–2012. A sample of 13,849 respondents aged 55 years and above with a seven year follow-up was considered for this study. The Katz Index of Independence in activities of daily living (ADL) was used to measure the functional disability as an outcome variable. Multinomial logistic regression has been conducted to fulfil the study objectives.

Results

The overall functional difficulty among older adults was 27.3% and onset of functional difficulty (23.5%) was higher than the recovery from difficulty (2.1%) and remaining with difficulty (1.7%). Onset of functional difficulty in second round was higher among women (27.3%) than men (19.3%). Bivariate and multivariate analyses showed that single and multi-morbidity had a positive significant association with all categories of functional difficulty. Female sex, increasing age and rural place of residence had positive association with onset of difficulty and difficulty remaining in second round. The combinations of morbidities were also found to have positive significant association with functional difficulty i.e., the relative risk (RR) of onset of difficulty in second round is higher among those who had diabetes with high blood pressure (RR-1.7; CI: 1.4–2.0), cataracts with high blood pressure (RR-2.0; CI: 1.5–2.6) and cataracts with asthma (RR-3.1; CI: 2.1–4.6) compared to those with no diabetes and cataract but with high blood pressure or asthma, respectively.

Conclusion

The findings suggest that the risk of onset of functional difficulty is higher among older individuals with single and multiple morbidities compared to their healthy counterparts. It is also found that functional difficulty increased with age and was more prevalent in older women and rural residents, suggesting the need for appropriate policy interventions with special focus on the vulnerable senior adults.

Socioeconomic vulnerability and frailty among community-dwelling older adults: cross-sectional findings from longitudinal aging study in India, 2017-18

INTRODUCTION

The Indian population is rapidly aging with huge proportion of illiterate and socioeconomically disadvantaged people and there is a dearth of research on the relationships between factors of socioeconomic vulnerability and frailty in older people. The present study examined the cross-sectional associations between socioeconomic vulnerability and physical frailty in community-dwelling older individuals in India.

MATERIALS AND METHODS

The data for the study were obtained from the Longitudinal Aging Study in India (LASI), which was conducted in 2017-18. The effective sample size was 14,652 older males and 15,899 older females aged 60 and over. The outcome variable was physical frailty phenotype measured from exhaustion, unintentional weight loss, weak grip strength, low physical activity, and slow walking time. The main explanatory variable was vulnerability status based on education, wealth and caste. The study carried out bivariate analysis to observe the association between vulnerability status and physical frailty. Further, multivariable binary logistic regression analysis was conducted to fulfil the objective of the study.

RESULTS

A proportion of 10.5 and 14.4% of older males and females respectively were in the overall vulnerable category. The prevalence of physical frailty was high among older males from vulnerable population (31.4% vs 26.9%; p < 0.001). The adjusted estimates from multivariate analysis revealed that older adults from vulnerable category had 14% significantly higher odds of being frail in comparison to non-vulnerable category [AOR: 1.14; CI: 1.06,1.24]. The adjusted model further revealed that there were no significant gender differentials in physical frailty among older adults. Model-3 (adjusted model) revealed that older males and females from vulnerable population had 18% [AOR: 1.18; CI: 1.04,1.34] and 8% [AOR: 1.08; CI: 1.01,1.21] significantly higher odds of being physically frail in comparison to older males from non-vulnerable population respectively.

CONCLUSIONS

Adverse socioeconomic circumstances such as low education, lower wealth and caste status that are associated with increased prevalence of physical frailty raise urgent questions both for public health practitioners and clinicians. The current findings may help to adapt public policies focusing on screening physical frailty in the clinical settings, especially among vulnerable populations as a marker of a possibly reversible vulnerability to adverse outcomes in old age.

Tooth loss and associated self-rated health and psychological and subjective wellbeing among community-dwelling older adults: A cross-sectional study in India

Background

Losing teeth has been considered as part of normal aging. However, in developing countries, tooth loss among older adults is shown to be more negatively associated with self-image and quality of life compared to their western counterparts. This study examines the association of tooth loss with self-rated health and psychological and subjective wellbeing among older adults in India.

Methods

Data were derived from the "Building Knowledge Base on Population Ageing in India" (BKPAI) survey which was carried out in 2011. The final sample size for the analysis was 9231 older adults. Descriptive statistics and bivariate analysis along with binary logistic regression analysis were conducted to fulfil the objective of the study.

Results

A proportion of 12.3% of older adults reported complete tooth loss. It was found that older adults who reported tooth loss were 2.38 times significantly more likely to have poor self-rated health (SRH) [2.38; CI: 1.99,2.83] than older adults who did not report tooth loss. The odds of low psychological health were high among older adults who suffered from tooth loss than their counterparts [OR: 1.59; CI: 1.33,1.91]. Older adults who reported tooth loss had 65% significantly higher odds of low subjective well-being than older adults who did not report tooth loss [OR: 1.65; CI: 1.38,1.97].

Conclusion

Complete loss of teeth is associated with older individuals’ poor SRH as well as low psychological and subjective well-being, but such a consequence is avoidable by practising the efforts to maintain good oral health.