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

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
T. Muhammad ◽  
Shobhit Srivastava

Abstract 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.

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247943
Author(s):  
Ratna Patel ◽  
Strong P. Marbaniang ◽  
Shobhit Srivastava ◽  
Pradeep Kumar ◽  
Shekhar Chauhan ◽  
...  

Background Gender and health are two factors that shape the quality of life in old age. Previous available literature established an associaton between various demographic and socio-economic factors with the health and well-being of older adults in India; however, the influence of childless aged is neglected. Therefore, the study examined the gender differential in psychological health and subjective well-being among older adults, focusing on childless older adults. Methodology This study utilized data from Building a Knowledge Base on Population Aging in India (BKPAI). Psychological health and subjective well-being were examined for 9541 older adults aged 60 years & above. Descriptive statistics and bivariate analysis were used to find the preliminary results. Further, multivariate analysis has been done to fulfill the objective of the study. Results Around one-fifth (21.2%) of the men reported low psychological health, whereas around one-fourth (25.5%) of the women reported low psychological health. Further, around 24 per cent of men and 29 per cent of women reported low subjective well-being. Results found that low psychological well-being (OR = 1.87, C.I. = 1.16–3.01), as well as low subjective well-being (OR = 1.78, C.I. = 1.15–2.76), was higher in childless older women than in childless older men. Higher education, community involvement, good self-rated health, richest wealth quintile, and residing in urban areas significantly decrease the odds of low subjective well-being and low psychological well-being among older adults. Conclusion There is a need to improve older adults’ psychological health and subjective well-being through expanded welfare provisions, especially for childless older adults. Moreover, there is an immediate requirement to cater to the needs of poor and uneducated older adults.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 169-170
Author(s):  
Brittany Drazich ◽  
Breanna Crane ◽  
Kyle Moored ◽  
Karl Shieh ◽  
Janiece Taylor ◽  
...  

Abstract Due to generational mental illness stigma and under diagnosis of mental illness, older adults do not always receive the mental health help that they need. One unique technology that has the potential to improve mood in older adults is exergames, or exercise video games. The objective of this sub-study (main study: Stimulation With Intricate Movements “SWIM” Study) was to explore older adults’ mood following an exergame intervention called “Bandit the Dolphin,” created by the Johns Hopkins KATA Studio. Researchers conducted three focus groups with 14 community-dwelling older adult participants who took part in the SWIM Study exergame intervention. The semi-structured focus groups were transcribed, coded, and analyzed using deductive and inductive techniques described by Ray Maietta’s “sort and sift, think and shift” method. Three themes related to playing “Bandit the Dolphin” and mood emerged. First, participants described their perceived association between activity and mood. Participants felt that both active and passive activities, “Bandit the Dolphin” and otherwise, improved their mood through the “fun” factor, and through feelings of achievement. Second, the participants described that the competition and frustration of playing “Bandit the Dolphin” increased eventual feelings of achievement. Third, participants described how feelings of immersion, or being absorbed in the game, helped them forget their other life concerns. These findings provide a better understanding of older adults’ perceived relationship between an exergame intervention, “Bandit the Dolphin,” and short-term improved mood. Future health and engineering researchers should explore exergames as a potential tool to improve the mental health of older adults.


2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 231-231
Author(s):  
F Togonu-Bickersteth ◽  
A Akinyemi ◽  
J Aransiola ◽  
A Adegoke

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shobhit Srivastava ◽  
Paramita Debnath ◽  
Neha Shri ◽  
T. Muhammad

AbstractWidowhood is a catastrophic event at any stage of life for the surviving partner particularly in old age, with serious repercussions on their physical, economic, and emotional well-being. This study investigates the association of marital status and living arrangement with depression among older adults. Additionally, the study aims to evaluate the effects of factors such as socio-economic conditions and other health problems contributing to the risk of depression among older adults in India. This study utilizes data from the nationally representative Longitudinal Ageing Study in India (LASI-2017–18). The effective sample size was 30,639 older adults aged 60 years and above. Descriptive statistics and bivariate analysis have been performed to determine the prevalence of depression. Further, binary logistic regression analysis was conducted to study the association between marital status and living arrangement on depression among older adults in India. Overall, around nine percent of the older adults suffered from depression. 10.3% of the widowed (currently married: 7.8%) and 13.6% of the older adults who were living alone suffered from depression. Further, 8.4% of the respondents who were co-residing with someone were suffering from depression. Widowed older adults were 34% more likely to be depressed than currently married counterparts [AOR: 1.34, CI 1.2–1.49]. Similarly, respondents who lived alone were 16% more likely to be depressed compared to their counterparts [AOR: 1.16; CI 1.02, 1.40]. Older adults who were widowed and living alone were 56% more likely to suffer from depression [AOR: 1.56; CI 1.28, 1.91] in reference to older adults who were currently married and co-residing. The study shows vulnerability of widowed older adults who are living alone and among those who had lack of socio-economic resources and face poor health status. The study can be used to target outreach programs and service delivery for the older adults who are living alone or widowed and suffering from depression.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 926-926
Author(s):  
Hui-chuan Hsu

Abstract Purpose: The purpose of this study was to examine the clustering of loneliness, isolation, and living alone, the risk factors and the associations with psychological wellbeing. Methods: The data were from the 2019 Taipei City Senior Citizen Condition Survey collected by face-to-face interviews, which included aged 60 and above community-based and institution-based samples. The completed sample was 3,853 persons. Loneliness, isolation, and living arrangement were analysed by cluster analysis to define the Loneliness-Isolation-Living Alone clusters. Multinomial logistic regression was used to examine the related factors to LIL clusters. Results: Four clusters of the older adults were identified and named as following: Connected (44.1%), Alone /Institutionalized (9.2%); Lonely (10.7%); and Isolated (22.0%). Compared with the Connected cluster, the Alone/Institutionalized cluster was more likely to have higher education, more IADL difficulties, more diseases , lower economic satisfaction, more likely to be males, having no spouse, and no children; the Lonely cluster was more likely to poor self-rated health, lower financial satisfaction, feeling less age-friendliness, more likely to be older, female, and no spouse; the Isolated cluster was more likely to have lower education, reported poorer self-rated health, lower economic satisfaction, and being older. The Alone/Institutionalized cluster and the Lonely cluster had higher depressive symptoms; the Alone/Institutionalized, Lonely, and Isolated clusters reported lower life satisfaction and had higher risks of cognitive impairment. Discussion: Loneliness, isolation, and living alone jointly associate with psychological health and well-being. High risk older populations may need social care and encourage social participation to promote health and wellbeing.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 498-498
Author(s):  
Mai See Yang ◽  
Haowei Wang ◽  
Yong Kyung Choi

Abstract This study aims to examine the association between the use of digital health management tools and subjective well-being in later life. Research is limited about technology use (e.g., participation in online wellness program, finding medical information, using devices to monitor health) among community dwelling older adults. This study used data from the Health and Retirement study 2012 Module “Technology Use: Barriers and Benefits” (N = 1,416). We used multiple regression methods to test the association between technology use and subjective well-being (i.e., self-rated health, life satisfaction, and depressive symptoms). Over half of the participants reported using technology (58%). The mean age for this group was 68.7 (SD 9.6). Majority of the respondents were female (55%). About 18% were non-Hispanic Blacks, 2% were non-Hispanic other, 11% were Hispanic, and 68% were non-Hispanic Whites. For this sample of technology users, the usage of digital health management included online exercise programs (16%), online wellness programs or health monitoring programs (7%), searching for medical and health information online (43%), digital devices to monitor health (31%), and physical activity-based video game such as Wii Fit (7%). Over 88% of the sample have used at least one of these formats to monitor their health. Results from regression models suggested that the use of any digital health management tools was related to fewer depressive symptoms and better self-reported health. Findings from this study provide insight into how digital health management can protect older adults from poor subjective well-being in later life.


2017 ◽  
Vol 41 (S1) ◽  
pp. S666-S667 ◽  
Author(s):  
S. Von Humboldt ◽  
I. Leal

IntroductionLiterature lacks of studies assessing correlates of adjustment to aging (AtA) among older populations.ObjectiveThe aim of this study was to build a structural model to explore the predictors of adjustment to aging (AtA) in a community-dwelling older population.MethodsA community-dwelling sample of 1270 older adults aged between 75 and 102 years answered a questionnaire to determine socio-demographic (sex, age, professional and marital status, education, household, adult children, family's annual income, living setting and self-reported spirituality), lifestyle and health-related characteristics (perceived health, recent disease, medication and leisure). Several instruments were used to assert psychological variables, namely AtA, sense of coherence and subjective well-being. Structural equation modeling was used to explore a structural model of the self-reported AtA, encompassing all variables.ResultsSignificant predictors are self-reported spirituality (β = .816; P < .001), perceived health (β = .455; P < .001), leisure (β = .322; P < .001), professional status (β = .283; P < .001), income (β = .230; P = .035), household (β = -.208; P = .007), sense of coherence (β = -.202; P = .004) and adult children (β = .164; P = .011). The variables explain 60.6% of the variability of AtA.ConclusionsSelf-reported spirituality is the strongest predictor of AtA. This study emphasizes the need for deepening the variables that influence older adults’ AtA, in particular perceived health and further lifestyle-related characteristics, as being relevant for promoting aging well in later life, within a salutogenic context for health care.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Mueller ◽  
H Foran

Abstract The quality of close family relationships can affect the health and well-being of older adults. Further, research suggests that relationships between grandparents and adult grandchildren can have a positive impact on the lives of each generation, particularly regarding social and emotional support. Social engagement technologies may provide new opportunities for older adults to foster and maintain family relationships, including those between grandparents and adult grandchildren. The current cross-sectional study examined associations between the use of social engagement technologies and health and well-being outcomes in 177 younger adults (M = 26.67, SD = 7.83; 81.4% female) and 202 older adults (M = 71.09, SD = 8.17; 77.8% female). Social technology use was assessed through five mediums that are used to enhance social connectivity (e.g., e-mail, social network sites, online video or phone calls, instant messaging, and smartphones). Higher use of social engagement technologies was associated with better self-rated health, subjective well-being, and social support among younger and older adults. Interestingly, social technology use was associated with less depressive symptoms only for older adults (r=-.26, p&lt;.05). There was, however, no correlation between social technology use and loneliness at the bivariate level. Of all five media, only smartphone use was correlated with more positive evaluations of the grandparent-grandchild relationship. After controlling for age, both grandparent-grandchild relationship quality and social technology use were associated with better self-rated health, subjective well-being, and social support for grandparents and adult grandchildren. Key messages Taken together, these findings indicate the need for a nuanced perspective on the benefits of social engagement technologies. More research is needed to explore the use case for social engagement technologies among older adults and their family members.


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