scholarly journals Does Food Insecurity Contribute towards Depression? A Cross-Sectional Study among the Urban Elderly in Malaysia

Author(s):  
Siti Farhana Mesbah ◽  
Norhasmah Sulaiman ◽  
Zalilah Mohd Shariff ◽  
Zuriati Ibrahim

With the aging of the population worldwide, there is an increasing concern for the mental health status as well as physical health. Depression is a common mental health problem among the elderly populations. Since the elderly are susceptible to food insecurity, this cross-sectional study is aimed to determine an association between food insecurity and depression among elderly people. A total of 220 elderly people- aged 60 years and above, residing in the Petaling district of Selangor, were included in this study. Face-to-face interviews were conducted to obtain the pertinent information on demographic background, food security status (six items USDA FSSM), functional status (IADL, EMS), psychosocial status (LSNS-6), and depression status (GDS-15). Binary logistic regression was used to assess the factors that were associated with depression. The median age of the elderly sample was 65.5 years. The prevalence of depression and food insecurity that was recorded were 13.2% and 19.5%, respectively. Social isolation (AOR = 5.882, 95% CI: 2.221, 15.576), food insecurity (AOR = 3.539, 95% CI: 1.350, 9.279), and unsafe mobility (AOR= 3.729, 95% CI: 1.302, 10.683) increased the odds of depression. In conclusion, social isolation, food insecurity, and unsafe mobility are factors associated with depression among the elderly people. Plans such as health interventions as well as grocery and financial aid among the qualifying elderly are suggested to improve this depression and food insecurity.

2013 ◽  
Vol 26 (6) ◽  
pp. 679-691 ◽  
Author(s):  
Bruna Fernanda do Nascimento Jacinto de Souza ◽  
Letícia Marín-León

OBJECTIVE: To investigate whether food insecurity is associated with the demographic, socioeconomic, lifestyle, and health conditions of the elderly. METHODS: This cross-sectional study included 427 elderly (³60 years) from Campinas, São Paulo; half were users of a government-run soup kitchen and the others, their neighbors of the same sex. Food insecurity was measured by the Brazilian Food Insecurity Scale. Univariate multinomial logistic regression was used for calculating the odds ratio and 95% confidence interval to measure the association between the independent variables and food insecurity. Variables with p<0.20 were included in a multinomial model, and only those with p<0.05 remained. RESULTS: Most respondents (63.2%) were males; 15.2% and 6.6% were experiencing mild and moderate/severe food insecurity, respectively. The final model, adjusted for sex and age, showed that elderly with a total family income ≤2 minimum salaries (OR=3.41, 95%CI=1.27-9.14), who did not have a job (OR=2.95, 95%CI=1.23-7.06), and who were obese (OR=2.01, 95%CI=1.04-3.87) were more likely to be mildly food insecure. Elderly with cancer (OR=4.13, 95%CI=1.21-14.0) and those hospitalized in the past year (OR=3.16, 95%CI=1.23-8.11) were more likely to be moderately/severely food insecure. Finally, elderly living in unfinished houses (OR=2.71; and OR=2.92) and who did not consume fruits (OR=2.95 and OR=4.11) or meats daily (OR=2.04 and OR=3.83) were more likely to be mildly and moderately/severely food insecure. CONCLUSION: Food insecure elderly are more likely to have chronic diseases, poor nutritional status, and poor socioeconomic condition. Therefore, the welfare programs should expand the number of soup kitchens and develop other strategies to assure adequate nutrition to these elderly.


2018 ◽  
Vol 26 (1) ◽  
Author(s):  
Alijan Ahmadiahangar ◽  
Yahya Javadian ◽  
Mansour Babaei ◽  
Behzad Heidari ◽  
Seyedreza Hosseini ◽  
...  

2021 ◽  
Vol 10 (23) ◽  
pp. 5537
Author(s):  
Siddarth Agrawal ◽  
Mateusz Dróżdż ◽  
Sebastian Makuch ◽  
Alicja Pietraszek ◽  
Małgorzata Sobieszczańska ◽  
...  

The prevailing COVID-19 pandemic has dramatically affected the mental health and well-being of individuals. This cross-sectional study aimed to assess the perceived fear of COVID-19 among older adults in Poland and identify subpopulations with the highest risk of potential mental health disorders. The study was conducted in November–December 2020 on 500 people aged ≥60 years (mean M = 67.9, standard deviation SD = 4.2). In order to collect information on participants’ characteristics and COVID-19-related information, they were asked to complete a questionnaire based on recorded telephone calls. Perceived fear of COVID-19 was measured using our generated and validated seven-item tool: “Scale of fear of COVID-19 infection”, which ranged from 7 to 35. Multiple linear regression was performed to identify factors associated with the perceived fear of COVID-19. Our results showed that the highest level of fear of COVID-19 infection was observed among women (p = 0.025) and patients taking anticoagulants (p = 0.004). Moreover, older adults with higher anxiety levels were more likely to be fearful of COVID-19 (according to the GAS-10 scale; p < 0.001). These findings may help policy makers and healthcare workers to adapt and implement better mental health strategies to help the elderly fight fear and anxiety during the prevailing pandemic.


2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Yin Yang ◽  
Hui Deng ◽  
Qingqing Yang ◽  
Xianbin Ding ◽  
Deqiang Mao ◽  
...  

Abstract Background China has the largest elderly population in the world; little attention has been paid to the mental health of elderly in areas of extreme poverty. This is the first study to investigate the mental health of the rural elderly in poverty state counties in Chongqing and was part of the Chongqing 2018 health literacy promotion project. Methods In 2019, a cross-sectional study was conducted to investigate the mental health status of the rural elderly in fourteen poverty state counties of Chongqing, in which a total of 1400 elderly aged ≥ 65 years were interviewed, where mental health status was measured by the ten-item Kessler10 (K10) scale. Ordered multivariate logistic regression was performed to evaluate the influencing factors related to mental health of the elderly in these areas. Results The average score of K10 in 14 poverty state counties was 17.40 ± 6.31, 47.6% was labeled as good, 30.2% was moderate, 17.0% was poor, and lastly 5.1% was bad, and the mental health status of the elderly in the northeastern wing of Chongqing was better than the one in the southeastern wing of Chongqing. A worse self-rated health was the risk factor for mental health both in the northeastern and southeastern wings of Chongqing (all P < 0.001). Lower education level (OR (95% CI) = 1.45 (1.12–1.87), P = 0.004) was a risk factor in the northeastern wing, whereas older age (OR (95% CI) = 1.33 (1.13–1.56), P = 0.001) was a risk factors in the southeastern wing. Conclusions The results showed that mental health of the elderly in poverty state counties was poor, especially in the southeastern wing of Chongqing. Particular attention needs to be paid to the males who were less educated, older, and single; female with lower annual per capital income; and especially the elderly with poor self-rated health.


BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e026443 ◽  
Author(s):  
Xiaomei Hu ◽  
Hongxia Gao ◽  
Yan Zhang ◽  
Haomiao Li ◽  
Dai Su ◽  
...  

ObjectiveThe purpose of this paper is to investigate the characteristics and determinants of inappropriate admission to hospital of elderly people in rural China.DesignA cross-sectional study of a comparison between the elderly and non-elderly groups of people.SettingThe survey was conducted on the largest county-level general hospitals in four counties in central and western China.ParticipantsA total of 652 rural patients admitted in hospitals were surveyed, who were divided into two groups according to age: elderly group (n=230, age ≥60 years) and non-elderly group (n=422, age <60 years).Primary measuresThe Chinese version of the appropriateness evaluation protocol was used to evaluate the inappropriate admission rates. The interactive regression models based on the relationship of age (elderly and non-elderly) with other factors and binary logistic regression models were used in the analysis of the specific factors and determinants of the inappropriate admission of elderly people.ResultThe inappropriate admission rate for the rural elderly was 30%, which was lower than that of the non-elderly people (40.8%). Compared with the non-elderly group, women in the elderly group (OR=0.33, 95% CI 0.15 to 0.73) had a lower incidence of inappropriate admission, and elderly people with chronic diseases (OR=3.33, 95% CI 1.23 to 9.04) were more prone to being inappropriately admitted than non-elderly people with chronic diseases. The binary logistic regression analysis shows that county, age (OR=0.94. 95% CI 0.90 to 0.99), gender (OR=0.49, 95% CI 0.25 to 2.98), department and response to doctor’s admission request were the determinants of the inappropriate admission of elderly patients.ConclusionThe inappropriate admission rate of elderly people in rural China was high. We found that gender and chronic disease are the specific factors that were specific to non-elderly people. County, age, gender, department and response to a doctor’s admission request had substantial influence on the inappropriate admission of the elderly in rural China.


2014 ◽  
Vol 27 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Fabiana de Souza Orlandi ◽  
Gabriela Dutra Gesualdo

OBJECTIVE: To assess the frailty level of elderly people with chronic kidney disease undergoing hemodialysis.METHODS: This is a cross-sectional study involving 60 participants and carried out at a Renal Replacement Therapy Unit. The Edmonton Frail Scale, translated and validated to Portuguese, was used as the instrument of research.RESULTS: Around 35.0% of the elderly showed no frailty, 26.7% were vulnerable, 20.0% showed mild frailty, 13.3% moderate frailty and 5.0% severe frailty.CONCLUSION: The frailty level of elderly people with chronic kidney disease undergoing hemodialysis was high and the number of elderly people who are vulnerable to frailty was also high.


Author(s):  
Piramanayagam A ◽  
Bayapareddy N ◽  
Pallavi M ◽  
Madhavi E ◽  
Nagarjuna Reddy N ◽  
...  

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