scholarly journals Investigating Health Status Among Women Aged 50-70 years old in Hunan Province, China: A Cross-Sectional study

2020 ◽  
Author(s):  
Yang Luo ◽  
NIE Min ◽  
MENG Yan-ting ◽  
XU Chen ◽  
QIN Si ◽  
...  
Keyword(s):  
Health Status ◽  
Physical Health ◽  
Psychological Health ◽  
Household Income ◽  
Cross Sectional Study ◽  
Hunan Province ◽  
Sectional Study ◽  
Household Type ◽  
Cross Sectional ◽  
Monthly Household Income

Abstract Background: As promotion of the Global strategy and action plan on ageing and health 2016-2020 and the Outline of the "Healthy China 2030" Plan, healthy ageing becomes a hot pot. It is crucial to identify health status of senior women and acquire characteristics of them. The purpose of this paper was to investigate the health of women aged 50-70 in Hunan Province of China, come out coping strategy and prompt an active discussion for healthy ageing.Methods: A cross-sectional study was conducted in 20 communities randomly selected from 5 sampled districts and 5counties in Hunan Province. A self-designed and structured questionnaire was used, included demographic data, diseases-related information, self-reported health, health behaviors, and psychological health. The data was collected by well-trained workers, double-entered into EpiData 3.0 and analyzed by SPSS 19.0.Results: Among the 2585 senior women, 51.0% was chronic diseases, 49.6% was gynecopathy and 23.6% was mastopathy. Age [OR=1.394, 95% CI=(1.63-1.670)], household type [OR=1.700, 95% CI=(1.416-2.042)], BMI [OR=1.194, 95% CI=(1.043-1.367)], average monthly household income [OR=0.884, 95% CI=(0.809-0.965)] and self-reported physical health [OR=4.659, 95% CI=(3.913-5.546)] were significantly associated with chronic diseases. Age [OR=0.668, 95% CI=(0.564-0.792)], household type [OR=1.335, 95% CI=(1.094-1.629)], occupation [OR=1.045, 95% CI=(1.002-1.090)], average monthly household income [OR=1.243, 95% CI=(1.143-1.352)] and self-reported physical health [OR=1.748, 95% CI=(1.510-2.024)] were significantly associated with gynecopathy. Age [OR=0.749, 95% CI=(0.616-0.910)], household type [OR=1.603, 95% CI=(1.269-2.026)], occupation [OR=1.057, 95% CI=(1.009-1.108)], average monthly household income [OR=1.233, 95% CI=(1.127-1.350)] and self-reported physical health [OR=1.272, 95% CI=(1.077-1.502)] were significantly associated with mastopathy. Age [OR=0.778, 95% CI=(0.645-0.939)], household type [OR=2.090, 95% CI=(1.733-2.520)], and BMI [OR=1.218, 95% CI=(1.061-1.399)] were significantly associated with exposure to secondhand smoke. Age [OR=0.829, 95% CI=(0.701-0.980)] and occupation [OR=0.956, 95% CI=(0.923-0.990)] were significantly associated with regular physical examinations. Household type [OR=0.642, 95% CI=(0.398-1.035)] and self-reported physical health [OR=1.983, 95% CI=(1.340-2.935)] were significantly associated with anxiety.Conclusion: This cross-sectional study shows good description as an appropriate investigation for the identification of women aged 50-70 with certain diseases, health behaviors and psychological health problems in a representative and community-conducted sample of women in Hunan Province of China. It discloses their poor health status.

scholarly journals Factors Associated with Psychological Health Issues in Diploma Nursing Students: A Cross-sectional Study

2020 ◽  
Vol 2 (3) ◽  
pp. 117
Author(s):  
Li Kai
Keyword(s):  
Health Status ◽  
Nursing Students ◽  
Psychological Health ◽  
Meaning In Life ◽  
Psychological Symptoms ◽  
Well Being ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Vocational Nursing Students

Psychological health is the expression of harmonic expression of harmonic expression of human’s personality and is often disrupted by multiple factors. The aim of this study to assess psychological health status and its associated factors among diploma nursing students. A cross-sectional study design was employed. The sample comprised 542 nursing students attending this anonymous survey by completed The Symptom Checklist 90 questionnaire. Descriptive statistics and logistic regression analysis were attempted to analyze overall data. The positive rate of psychological symptoms of diploma nursing students is 20.9%; the total score of SCL-90 and the scores of each factor are higher than the national norm; grade, personality, number of friends, parenting style, love experience, whether it is an only child, and physical exercise are influential. The main factors of the mental health status of secondary vocational nursing students. The contribution of Emotional Intelligence and Spirituality is crucial to the acquisition of well-being, happiness and meaning in life.

scholarly journals Sense of Coherence and Physical Health. A Cross-Sectional Study Using a New Scale (SOC II)

2006 ◽  
Vol 6 ◽  
pp. 2200-2211 ◽  
Author(s):  
Trine Flensborg-Madsen ◽  
Søren Ventegodt ◽  
Joav Merrick
Keyword(s):  
Physical Health ◽  
Sense Of Coherence ◽  
Psychological Health ◽  
Correlation Coefficients ◽  
Cross Sectional Study ◽  
Physical Symptoms ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Measures ◽  
Degree Of Association

In this study, we constructed a new sense of coherence scale (SOC II), where we eliminated the notion of predictability (that life is meant to be predictable), which was present in the original SOC scale developed by Aaron Antonovsky (1923–1994) (SOC-29 and SOC-13). Our hypothesis was that SOC II would show a higher degree of association with physical health than the original SOC scale. In order to test this idea, we used a cross-sectional study including 4,648 Danes and used the three different health measures: self-evaluated physical health, physical symptoms, and self-evaluated psychological health. We found that SOC II was positively associated with all three health measures with the correlation coefficients 0.338, 0.282, and 0.578, respectively. Furthermore, we found dose response tendencies for all three health measures across groups of SOC, since health improved with a higher SOC. By means of regression analysis, we found that SOC was significantly associated with all three health measures after stratifying for demographic variables, life style variables, life form variables, and attitude variables, respectively. We conclude from this study that the SOC II scale we developed seems better associated with physical health than found with the original SOC scale. We also postulate that the concept of predictability was irrelevant, or even disturbing, and should not be included in the SOC scale.

scholarly journals Quality of Life Among Malaysian University Students: A Cross-Sectional Study

2020 ◽  
Vol 5 (6) ◽  
pp. 11-18
Author(s):  
Patricia Pawa Pitil ◽  
Norshella Syakila Binti Kadir ◽  
Wan Juliana Emeih Wahed
Keyword(s):  
Quality Of Life ◽  
University Students ◽  
Physical Health ◽  
Psychological Health ◽  
Student Athletes ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Domain

Quality of life reflects the health of individuals, physically and mentally. The aim of this study is to evaluate the quality of life among university students. A total sample of N=377 full-time students from various faculties of a single university were recruited following a cross-sectional study design. The World Health Organization QOL-BREF questionnaire was administered to measure the quality of life in four domains: physical quality, psychological quality, social relationship quality and environment quality. The total quality of life score obtained was 64.33 ± 8.02, which is in the fair category. For demographic comparisons, all domains were similar in distribution, except for age groups in the psychological health domain and sports involvement in the physical health domain. Older students reported a significantly higher mean scores for psychological health compared to the younger age group, while student-athletes scored higher in physical health than the non-athletes. Environment was scored lowest at (13.25 ± 1.78), while social relation was rated highest at (15.10 ± 3.07) among the participants. The overall quality of life and general health, and physical domains exhibited significant positive relationships, but some nonsignificant relationships were observed among student-athletes. Understanding the quality of life among university students would provide a beneficial information on their well-being. This study should become a benchmark to conduct other studies on similar topic especially among young adults. University counsellors and student’s affair departments should acknowledge this study as a reference for organizing students development programs and planning for intervention in improving students’ productivity if needed.

scholarly journals Effect of Resilience on Health-Related Quality of Life during the COVID-19 Pandemic: A Cross-Sectional Study

2021 ◽  
Vol 18 (21) ◽  
pp. 11394
Author(s):  
Monira I. Aldhahi ◽  
Shahnaz Akil ◽  
Uzma Zaidi ◽  
Eman Mortada ◽  
Salwa Awad ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Saudi Arabia ◽  
Physical Health ◽  
Psychological Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Gender Based ◽  
Physical Health Domain

The unprecedented outbreak of coronavirus disease 2019 (COVID-19) has caused a huge global health and economic crisis. The aim of the study was to examine the extent to which the resilience of a person is associated with the quality of life (QoL) of adults amongst Saudi Arabia. A cross-sectional study was conducted among a sample of adults in Saudi Arabia. A total of 385 adults voluntarily participated in and completed the survey. The quality of life was measured using the “World Health Organization QoL”. The “Connor-Davidson Resilience Scale” instrument was also used to assess resilience during the COVID-19 pandemic. Amongst the 385 participants, 179 (46%) showed a good QoL, and 205 (54%) reported a relatively poor QoL. The resilience was found to be significantly associated with QoL. The study further revealed that gender-based differences were dominant in the QoL; the men respondents reported a significantly higher QoL in all the domains in comparison to the women respondents. The gender, income, and psychological health and interaction effect of resilience and age explained 40% of the variance in the total score of QoL. In reference to the predictors of the physical health domain of QoL, resilience, gender, and psychological health were significantly associated with the physical health domain of the QoL (R2 = 0.26, p = 0.001). It was also noted that gender was not associated with the social relationships and environmental domains of QoL (p > 0.05). Findings showed a statistically significant association between the score of QoL and resilience, age, gender, income, and psychological health. These findings highlight the significant contribution of gender-based differences, psychological health, and resilience on the domains of QoL.

scholarly journals Association of Self-Perceived Oral Health and Function with Clinically Determined Oral Health Status among Adults Aged 35–54 Years: A Cross-Sectional Study

2018 ◽  
Vol 15 (8) ◽  
pp. 1681 ◽  
Author(s):  
Se-Yeon Kim ◽  
Ji-Eun Kim ◽  
Han-Na Kim ◽  
Eun-Joo Jun ◽  
Jung-Ha Lee ◽  
...  
Keyword(s):  
Health Status ◽  
Oral Health ◽  
Household Income ◽  
Cross Sectional Study ◽  
Oral Health Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Periodontal Status ◽  
Using Data ◽  
And Function

This study aimed to analyse the association of self-perceived oral health status (OHS) and functions with clinical OHS in Korean adults aged 35–54 years. The study was designed as a cross-sectional study using data from the Fourth Korea National Health and Nutrition Examination Survey (2007–2009). A total of 6605 subjects aged 35–54 years who completed the oral examination and questionnaires were included. An association of self-perceived OHS and functions with clinically determined OHS was confirmed by a complex-samples general linear model. Data on socioeconomic variables, i.e., household income and education level, self-perceived OHS and functions, such as chewing and speaking, were collected by trained interviewers. The clinical OHS was determined by trained dentists and included the number of untreated decayed teeth (DT); decayed, missing, and filled teeth (DMFT); prosthetic and periodontal status. The combined score was estimated as the sum of self-perceived OHS and functions. Based on the estimation coefficient, the clinical variables that were most strongly associated with self-perceived OHS and functions were, in order, periodontal status, prosthetic status, DT, and DMFT. In addition, the combined score for self-perceived OHS and functions was associated with household income, education, and clinically determined OHS.

Physical health status of homeless Veterans in Canada: a cross-sectional study

2017 ◽  
Vol 3 (2) ◽  
pp. 4-11 ◽  
Author(s):  
Jimmy Bourque ◽  
Linda VanTil ◽  
Josée Nadeau ◽  
Stéfanie Renée LeBlanc ◽  
Jennifer Ebner-Daigle ◽  
...  
Keyword(s):  
Health Status ◽  
Physical Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Physical Health Status ◽  
Cross Sectional ◽  
Homeless Veterans

scholarly journals Association Between Passive Smoking and Health Among Chinese Nurses: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Chun-ling Xia ◽  
Shi-qi Xiao ◽  
Qi-jun Wu ◽  
Xin-ying Yu ◽  
Lin-lin Xing ◽  
...  
Keyword(s):  
Health Status ◽  
Psychological Health ◽  
Passive Smoking ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Physical And Psychological Health ◽  
Smoking And Health

This study aimed to investigate the association between passive smoking and physical and psychological health in Chinese nurses. Participants of this cross-sectional study comprised 2,484 non-smoking nurses. Passive smoking and demographic information were assessed using a self-administered questionnaire. Physical, psychological, and overall health status of nurses were measured using the Cornell Medical Index (CMI) health questionnaire. Multivariate-adjusted odds ratio (OR) and 95% confidence interval (CI) for nurses' health were estimated by exposure to passive smoking using unconditional logistic regression models. A total of 1,219 nurses (49.07%) were exposed to passive smoking. Of these, 609 (24.52%), 160 (6.44%), and 587 (23.63%) nurses had poorer physical, mental, and overall health, respectively. After adjusting for other confounding factors, compared with the non-passive smoking group, passive smoking was associated with poor physical (OR = 1.51, 95% CI: 1.25–1.83), mental (OR = 1.48, 95% CI: 1.07–2.07), and overall (OR = 1.58, 95% CI: 1.30–1.93) health of nurses, respectively. We also carried out subgroup analyses stratified by age, department, and professional title, which showed that most findings supported the main results. This study demonstrated that exposure to passive smoking was a risk factor for overall decreased physical and mental health status among Chinese nurses.

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