Relationship between Eating Alone and Poor Appetite Using the Simplified Nutritional Appetite Questionnaire

One prominent factor associated with malnutrition is poor appetite. In Japan, the number of older adults living alone has increased annually. Those living alone tended to eat alone, which may lead to poor appetite. This study aimed to investigate the association between eating alone and poor appetite using an index called the Simplified Nutritional Appetite Questionnaire (SNAQ). We surveyed 818 people aged 70 and over in Takashimadaira, Itabashi-ku, Tokyo, Japan, in 2016. Comparisons were made between two groups, a poor appetite group (n = 295) and a good appetite group (n = 523), and results indicate that the poor appetite group had a higher rate of eating alone than the good appetite group (38.0% vs. 20. 1%: p < 0.001). Multivariable logistic regression (OR; 95%CI) was performed and poor appetite was significantly associated with the Geriatric Depression Scale (GDS) score (1.707; 1.200–2.427), the number of medications (1.061; 1.007–1.118), JST score (0.894; 0.841–0.950), the indication of “very healthy” on a self-rated health scale (0.343; 0.152–0.774), and reports of eating alone (1.751; 1.130–2.712). Our results suggest that eating alone is associated with a poor appetite.

Loneliness among people with severe mental illness during the COVID-19 pandemic: Results from a linked UK population cohort study

Aim/Goal/Purpose Population surveys underrepresent people with severe mental ill health. This paper aims to use multiple regression analyses to explore perceived social support, loneliness and factor associations from self-report survey data collected during the Covid-19 pandemic in a sample of individuals with severe mental ill health. Design/Methodology/Approach We sampled an already existing cohort of people with severe mental ill health. Researchers contacted participants by phone or by post to invite them to take part in a survey about how the pandemic restrictions had impacted health, Covid-19 experiences, perceived social support, employment and loneliness. Loneliness was measured by the three item UCLA loneliness scale. Findings In the pandemic sub-cohort, 367 adults with a severe mental ill health diagnosis completed a remote survey. 29–34% of participants reported being lonely. Loneliness was associated with being younger in age (adjusted OR = -.98, p = .02), living alone (adjusted OR = 2.04, p = .01), high levels of social and economic deprivation (adjusted OR = 2.49, p = .04), and lower perceived social support (B = -5.86, p < .001). Living alone was associated with lower perceived social support. Being lonely was associated with a self-reported deterioration in mental health during the pandemic (adjusted OR = 3.46, 95%CI 2.03–5.91). Practical implications Intervention strategies to tackle loneliness in the severe mental ill health population are needed. Further research is needed to follow-up the severe mental ill health population after pandemic restrictions are lifted to understand perceived social support and loneliness trends. Originality Loneliness was a substantial problem for the severe mental ill health population before the Covid-19 pandemic but there is limited evidence to understand perceived social support and loneliness trends during the pandemic.

Positive health during the COVID-19 pandemic: a survey among community-dwelling older individuals in the Netherlands

Background Coronavirus Disease 2019 (COVID-19) reached the Netherlands in February 2020. To minimize the spread of the virus, the Dutch government announced an “intelligent lockdown”. Older individuals were urged to socially isolate completely, because they are at risk of a severe disease course. Although isolation reduces the medical impact of the virus, the non-medical impact should also be considered. Aim To investigate the impact of COVID-19 pandemic and associated restrictive measures on the six dimensions of Positive Health in community-dwelling older individuals living in the Netherlands, and to identify differences within subgroups. Methods In May/June 2020, community-dwelling older individuals aged ≥ 65 years completed an online survey based on Huber’s model of Positive Health. Positive Health was measured regarding the appreciation of the six dimensions (categorized as poor/satisfactory/excellent) and a comparison with a year before (categorized as decreased/unchanged/increased) using frequencies (%) and a chi-square test. Results 834 older individuals participated (51% women, 38% aged ≥ 76 years, 35% living alone, 16% self-rated poor health). Most respondents assessed their bodily functions, mental well-being and daily functioning as satisfactory, their meaningfulness and quality of life (QoL) as excellent, and their social participation as poor. 12% of the respondents reported a deterioration of 4–6 dimensions and 73% in 1–3 dimensions, compared to the past year. Deterioration was most frequently experienced in the dimension social participation (73%), the dimension mental well-being was most frequently improved (37%) and quality of life was in 71% rated as unchanged. Women more often observed a deterioration of 4–6 dimensions than men (15% vs. 8%, p = 0.001), and individuals with self-rated poor health more often than individuals with self-rated good health (22% vs. 10%, p < 0.001). Older individuals living alone experienced more frequently a decrease in meaningfulness compared to older individuals living together. Conclusion The COVID-19 pandemic and associated restrictive measures had a substantial impact on all six dimensions of Positive Health in community-dwelling older individuals, especially in women, respondents living alone and respondents with self-rated poor general health.

Can Social Resources Explain the Limitations in the Activities of Daily Living of Older Adults Classified by the Phenotype of Physical Frailty?

The objective is to investigate the mediating roles of living alone and personal network in the relationship between physical frailty and activities of daily living (ADL) limitations among older adults. 2271 individuals were classified as vulnerable (pre-frail or frail) or robust. Mediating variables were living alone and personal network. Katz Index and Lawton-Brody scale were used to assess ADL. Mediating effects were analyzed with beta coefficients from linear regression models using the bootstrapping method. Mediation analysis showed significant mediating effects of living alone (β = .011; 95% CI = .004; .018) and personal network (β = .005; 95% CI = .001; .010) on the relationship between physical frailty and basic ADL limitations. Mediation effects of living alone and personal network on the relationship between physical frailty and instrumental ADL limitations were β = −.074 (95% CI=−.101; −.046) and β = −.044 (95% CI = −.076; −.020), respectively. Physically vulnerable older adults who lived alone or had poor personal network were more dependent on basic and instrumental ADL.

My Home is my Castle? The Role of Living Arrangements on Experiencing the COVID-19 Pandemic: Evidence From Germany

During the early months of the COVID-19 pandemic in Germany, social restrictions and social distancing policies forced large parts of social life to take place within the household. However, comparatively little is known about how private living situations shaped individuals experiences of this crisis. To investigate this issue, we analyze how experiences and concerns vary across living arrangements along two dimensions that may be associated with social disadvantage: loneliness and care. In doing so, we employ quantitative text analysis on open-ended questions from survey data on a sample of 1,073 individuals living in Germany. We focus our analyses on four different household structures: living alone, shared living without children, living with a partner and children, and single parents. We find that single parents (who are primarily single mothers) are at high risk of experiencing care-related worries, particularly regarding their financial situation, while individuals living alone are most likely to report feelings of loneliness. Those individuals living in shared houses, with or without children, had the lowest risk of experiencing both loneliness and care-related worries. These findings illustrate that the living situation at home substantially impacts how individuals experienced and coped with the pandemic situation during the first wave of the pandemic.

Descriptors of living alone for elders: based on Turkey national data

Background The objective of this study is to analyze the data of the 2018 Turkey Demographic and Health Survey and determine personal and demographic factors associated with elderly who are 60 and older and living alone. Methods This cross-sectional study is the secondary analysis of the national data obtained with the 2018 Turkey Demographic and Health Survey. Logistic regression analysis was used to estimate differences in living alone based on gender, age, welfare status, region of residence, urban/rural residence, whether the person is working in a paid job and home ownership. Independent effect of every variable is observed in the first stage and then checked for all variables in the equation. Results There is a total of 37,897 participants’ data in the Turkey Demographic and Health Survey Database. In the study, there are 6244 (16.5%) older adults in 11,056 households and 9.79% of the elderly population is alone. The percentage of elderly women living alone is 13.62% while this percentage is 5.48% for elderly men (p < 0.001). The risk of living alone for elderly women is 2.74 times more than elderly men (95% Cl 2.28–3.31). Being poor increases the risk of living alone for elderly people 2.84 fold compared to being rich (95% Cl 2.17–3.71). Those who have high school and higher education level have 2.38 (95% Cl 1.73–3.29) fold higher risk of living alone than people with lower education. Older adults living in the Western region of the country have 3.18 (95% Cl 2.20–4.59) times higher risk of living alone than older adults living in the Eastern region of the country. The risk of living alone for older adults increases 1.90 fold (95% Cl 1.55–2.32) if the house they live in do not belong to a household member. Conclusion Based on these findings, needs of older adults under risk should be met to allow them to be healthy and live their lives in better social, economic and cultural conditions.

Characteristics of Older People from a Poor Residential Environment in Okinawa, Japan: An Emergency Department-Based Cross-Sectional Study

<b><i>Background:</i></b> Evidence for what diseases occur more commonly in older people from a poor residential environment (PRE) is limited. <b><i>Objective:</i></b> We investigated characteristics, especially the underlying reason (disease) for visiting an emergency department (ED), of older people from a PRE in ED settings. <b><i>Methods:</i></b> A cross-sectional study was conducted on people aged ≥65 years who presented to the EDs of 2 hospitals in Okinawa, Japan, between 2015 and 2019. PRE cases were identified by searching relevant words, such as a house overflowing with garbage from hoarding or housing squalor (<i>gomi-yashiki</i> in Japanese), in electric medical records. Controls (2 controls per case) were randomly selected from those without a PRE, with both living at home and matching each PRE case for age and sex. Characteristics of interest between cases and controls were compared using a χ² test. <b><i>Results:</i></b> PRE cases (<i>n</i> = 67), compared with controls (<i>n</i> = 134), were more often transported by ambulance (79.1% vs. 61.9%; <i>p</i> = 0.01). A family member or relative (43.4%) or professional supporter (20.8%) called an ambulance for most PRE cases. PRE cases were more likely to visit the ED due to injury/fracture (16.4% vs. 8.2%), rhabdomyolysis (11.9% vs. 1.5%), undernutrition/dehydration (10.4% vs. 1.5%), and cancer (9.0% vs. 5.2%) than controls (<i>p</i> &#x3c; 0.001). PRE cases had a higher prevalence of being underweight (35.4% vs. 14.9%), dementia (41.8% vs. 16.4%), decubitus ulcer (29.9% vs. 8.2%), living alone (73.1% vs. 23.1%), and receiving public welfare assistance (35.8% vs. 9.0%) than controls (all <i>p</i> ≤ 0.001). <b><i>Conclusion:</i></b> In EDs, older people from a PRE exhibited certain diseases and characteristics.

Do partnership dissolutions and living alone affect systemic chronic inflammation? A cohort study of Danish adults

BackgroundPartnership breakups and living alone are associated with several adverse health outcomes. The aim of this study, carried out in Denmark, is to investigate whether accumulated numbers of divorces/partnership breakups or years lived alone across 26 years of adult life are associated with levels of inflammation, and if vulnerability with regards to gender or educational level can be identified.Methods4835 participants from the Copenhagen Aging and Midlife Biobank (CAMB) aged 48–62 years were included. Data on accumulated numbers of partnership breakups and years living alone were retrieved from a national standardised annual register. Inflammatory markers interleukin 6 (IL-6) and high sensitivity C-reactive protein (hsCRP) were measured in blood samples. Multivariate linear regression analyses were adjusted for age, educational level, early major life events, body mass index, chronic diseases, medicinal intake affecting inflammation, acute inflammation and personality scores.ResultsFor men, an association was found between an increasing number of partnership breakups or number of years living alone and higher levels of inflammatory markers. No such association was found for women, and no evidence of partnership breakups and educational level having a joint effect was found for either gender.ConclusionThe findings suggest a strong association between years lived alone or accumulated number of partnership breakups and low-grade inflammation for middle-aged men, but not for women. Among those of either sex with a lower level of education, no specific vulnerability to accumulated years lived alone or number of breakups was identified.

Differences in Menstruation-Related Symptoms of University Students Depending on Their Living Status in Japan

Mothers and family members of young female students play important roles for guiding their self-care strategies for menstruation-related symptoms; which often affect their daily life and academic life. The aim of this study is to clarify the differences in menstruation-related symptoms before and during menstruation in university students living alone and university students living with their family in Japan. We conducted a cross-sectional online survey to assess menstruation-related symptoms before and during menstruation using the menstrual distress questionnaire (MDQ). Among 135 students; the proportion of students living alone was 60.7% and the proportion of students living with their family was 39.3%. Before menstruation; the MDQ total score and the scores for negative affect and behavior change were significantly higher in students living alone than in students living with their family. During menstruation; scores for negative affect and impaired concentration were also significantly higher in students living alone. In addition; before menstruation; scores for an increase in appetite and craving for sweets were significantly higher in students living alone. Thus; living alone affected the psychological aspects of menstruation-related symptoms in young women. The results suggest that university students who live alone should be aware of the importance of talking about their menstruation problems with family members and seeking their advice

Developing a Predictive Model for Depressive Disorders Using Stacking Ensemble and Naive Bayesian Nomogram: Using Samples Representing South Korea

This study provided baseline data for preventing depression in female older adults living alone by understanding the degree of their depressive disorders and factors affecting these depressive disorders by analyzing epidemiological survey data representing South Koreans. To achieve the study objective, this study explored the main risk factors of depressive disorders using the stacking ensemble machine technique. Moreover, this study developed a nomogram that could help primary physicians easily interpret high-risk groups of depressive disorders in primary care settings based on the major predictors derived from machine learning. This study analyzed 582 female older adults (≥60 years old) living alone. The depressive disorder, a target variable, was measured using the Korean version of Patient Health Questionnaire-9. This study developed five single predictive models (GBM, Random Forest, Adaboost, SVM, XGBoost) and six stacking ensemble models (GBM + Bayesian regression, RandomForest + Bayesian regression, Adaboost + Bayesian regression, SVM + Bayesian regression, XGBoost + Bayesian regression, GBM + RandomForest + Adaboost + SVM + XGBoost + Bayesian regression) to predict depressive disorders. The naive Bayesian nomogram confirmed that stress perception, subjective health, n-6 fatty acid, n-3 fatty acid, mean hours of sitting per day, and mean daily sleep hours were six major variables related to the depressive disorders of female older adults living alone. Based on the results of this study, it is required to evaluate the multiple risk factors for depression including various measurable factors such as social support.