Factors associated with and prevalence of depressive features amongst older adults in an urban city in eastern China

Background: Mental health problems have become serious for older Chinese adults who have lived through the process of urbanisation. This current research aimed to determine the prevalence of and associated factors for depressive features in a community-based sample of older adults in China.Methods: A community-based survey of 4077 adults aged 60 or older was conducted in Suzhou, China. Information including demographic characteristics, health behaviours, social support, disease histories and physical function was collected using a pre-designed questionnaire. Depressive features were assessed using the self-rating depression scale. Multivariate logistic regression analysis was performed to identify associated factors for depression.Results: The overall prevalence of depressive features in the surveyed population was 47.4% (45.9% in men and 48.5% in women). In a multiple logistic regression analysis, the significant variables of depressive features were no fixed occupation (odds ratio [OR] = 0.28; 95% confidence interval [CI]: 0.21–0.37), doing non-technical and service work (OR = 0.23; 95% CI: 0.19–0.28) or being a manager and technical personnel (OR = 0.25; 95% CI: 0.19–0.32), physical activities (OR = 0.71; 95% CI: 0.61–0.82), never taking dietary supplements (OR = 0.73; 95% CI: 0.58–0.91), not having hobbies (OR = 1.34; 95% CI: 1.15–1.56), never interacting with neighbours (OR = 1.79; 95% CI: 1.28–2.50), cold relationship with a spouse (OR = 3.34; 95% CI: 1.18–9.45) and limited activities of daily living (OR = 2.27; 95% CI: 1.91–2.69).Conclusion: There is an urgent need for public policy interventions to address depression in elderly people located in Suzhou in China.

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Prevalence of postural deviations and associated factors in children and adolescents: a cross-sectional study

Fisioterapia em Movimento ◽

10.1590/1980-5918.029.004.ao14 ◽

2016 ◽

Vol 29 (4) ◽

pp. 777-786 ◽

Cited By ~ 4

Author(s):

Mariana Vieira Batistão ◽

Roberta de Fátima Carreira Moreira ◽

Helenice Jane Cote Gil Coury ◽

Luis Ernesto Bueno Salasar ◽

Tatiana de Oliveira Sato

Keyword(s):

Physical Activity ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Multiple Logistic Regression Analysis ◽

Extrinsic Factors ◽

Cross Sectional ◽

Postural Changes ◽

Intrinsic And Extrinsic Factors

Abstract Introduction: Postural deviations are frequent in childhood and may cause pain and functional impairment. Previously, only a few studies have examined the association between body posture and intrinsic and extrinsic factors. Objective: To assess the prevalence of postural changes in school children, and to determine, using multiple logistic regression analysis, whether factors such as age, gender, BMI, handedness and physical activity might explain these deviations. Methods: The posture of 288 students was assessed by observation. Subjects were aged between 6 and 15 years, 59.4% (n = 171) of which were female. The mean age was 10.6 (± 2.4) years. Mean body weight was 38.6 (± 12.7) kg and mean height was 1.5 (± 0.1) m. A digital scale, a tapeline, a plumb line and standardized forms were used to collect data. The data were analyzed descriptively using the chi-square test and logistic regression analysis (significance level of 5%). Results: We found the following deviations to be prevalent among schoolchildren: forward head posture, 53.5%, shoulder elevation, 74.3%, asymmetry of the iliac crests, 51.7%, valgus knees, 43.1%, thoracic hyperkyphosis, 30.2%, lumbar hyperlordosis, 37.2% and winged shoulder blades, 66.3%. The associated factors were age, gender, BMI and physical activity. Discussion: There was a high prevalence of postural deviations and the intrinsic and extrinsic factors partially explain the postural deviations. Conclusion: These findings contribute to the understanding of how and why these deviations develop, and to the implementation of preventive and rehabilitation programs, given that some of the associated factors are modifiable.

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Associated Factors of Plasmodium Knowlesi Malaria among Registered Malaria Cases in Terengganu, Malaysia 2011- September 2019 via Vekpro Online Database

Journal of Clinical and Health Sciences ◽

10.24191/jchs.v6i2.13052 ◽

2021 ◽

Vol 6 (2) ◽

pp. 23-35

Author(s):

Faizul Haris Hatta ◽

Zaliha Ismail ◽

Zahir Izuan Azhar ◽

Nurhuda Ismail ◽

Norafidah Abdul Rashid ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Mixed Infection ◽

Associated Factors ◽

Plasmodium Knowlesi ◽

Multiple Logistic Regression Analysis ◽

Weather Data ◽

Multivariable Logistic Regression Analysis ◽

Online Database

Introduction: Plasmodium knowlesi (P. knowlesi), zoonotic malaria cases had been increasing in trend in Terengganu, Malaysia. This study aimed to determine the associated factors of P. knowlesi malaria among registered malaria cases in Terengganu from 2011 to September 2019 via the Vekpro Online Database. Methods: A cross-sectional study was conducted using registered malaria cases in Terengganu from 2011 to September 2019 extracted from the Vekpro Online database and secondary weather data from the Malaysian Meteorological Department. A total sample of 247 malaria cases [(P. knowlesi (n=187), P. falciparum (n=23), P. vivax (n=37), P. malariae (n=4), mixed infection (n=3)] were analysed. The cases were grouped into P. knowlesi group (P. knowlesi, P. malariae, mixed infection) and non-P. knowlesi group (P. falciparum, P. vivax) for comparison of their risk factors. Multiple Logistic Regression analysis was used to identify the associated factors. Results: Plasmodium knowlesi group contributed to 187 out of 247 (75.7%) of all malaria cases. Four factors were found to be significantly associated with P. knowlesi group in the final multivariable logistic regression analysis. Age [AOR=1.04 (95% CI: 1.01,1.08)], Malay race [AOR=39.43 (95% CI: 13.99,111.18)], agriculture and forestry worker [AOR=14.95 (95% CI: 4.10,54.51)] and Passive Case Detection [AOR=11.70 (95% CI: 2.60,52.63)] were the significant associated factors. Conclusion: Identified significant associated factors and characteristics of the high-risk group for P. knowlesi infection can help medical and health front liners in Terengganu in early diagnosis and prompt treatment of the cases. The factors also will help in the planning and development of health interventions in targeting P. knowlesi infection.

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Community-based newborn care utilisation and associated factors in Geze Gofa rural district, South Ethiopia: a community-based cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-037792 ◽

2020 ◽

Vol 10 (8) ◽

pp. e037792

Author(s):

Tsegaye Gebremedhin ◽

Asmamaw Atnafu ◽

Endalkachew Dellie

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Newborn Care ◽

Cross Sectional Study ◽

Rural District ◽

Sectional Study ◽

Community Based ◽

Cross Sectional

ObjectiveThe community-based newborn care (CBNC) is a newborn care package along the maternal and newborn health continuum of care that has been implemented at the community level in Ethiopia. The utilisation which might be affected by several factors has not been well assessed. Thus, this study aimed to examine the utilisation of CBNC and associated factors among women who delivered recently in Geze Gofa rural district, south Ethiopia.DesignCross-sectional study.SettingCommunity-based.ParticipantsThree-hundred seventy-one women who had their newborns recently were randomly selected. Then, they were interviewed at their places using an interviewer-administered structured questionnaire.MethodsA binary logistic regression analysis was done. In the multivariable logistic regression analysis, a p value of <0.05 and adjusted OR (AOR) with 95% CI were used to identify factors statistically associated with CBNC utilisation.OutcomesCBNC utilisation.ResultsThe findings showed that the overall utilisation of CBNC by women who delivered recently with their newborns was 37.5% (95% CI: 32.6 to 42.6). Factors associated with the utilisation of CBNC included women who attended elementary school (AOR: 1.76, 95% CI: 1.01 to 3.07), college and above (AOR: 3.71, 95% CI: 1.12 to 12.24), farmer women (AOR: 0.35, 95% CI: 0.16 to 0.79), women in the lowest (AOR: 3.76, 95% CI: 1.65 to 8.54) and middle quantile of wealth status (AOR: 1.96, 95% CI: 1.01 to 3.76), and those whose preference was visiting hospital only when they faced any signs of danger (AOR: 0.29, 95% CI: 0.11 to 0.78).ConclusionThe use of the CBNC programme in the study area was surprisingly low. To increase utilisation and potentially improve the outcomes of these neonates, we need to increase awareness at community levels, make convenient arrangements and increase the availability of services at nearby health facilities that are essential to improve the uptake of CBNC in the rural district.

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Prevalence and social determinants of psychological distress among people who use drugs in Cambodia

10.21203/rs.3.rs-31493/v2 ◽

2020 ◽

Author(s):

Chan Hang Saing ◽

Kiesha Prem ◽

Ponha Uk ◽

Navy Chann ◽

Pheak Chhoun ◽

...

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Regression Analysis ◽

Psychological Distress ◽

Logistic Regression Analysis ◽

Mental Health Problems ◽

Multiple Logistic Regression Analysis ◽

People Who Use Drugs ◽

Multiple Logistic Regression ◽

High Psychological Distress

Abstract Background: People who use drugs are at a disproportionately higher risk of mental disorders due to prolonged exposure to psychosocial challenges. However, studies on mental health among people who use drugs in resource-constrained countries are scarce. This study sheds light on the prevalence and correlates of psychological distress among people who use drugs in Cambodia.Methods: We conducted this cross-sectional study in 12 provinces in 2017. The Respondent Driven Sampling method was adapted to recruit 1677 people who used drugs for face-to-face interviews using a structured questionnaire. Psychological distress was measured using the General Health Questionnaire (GHQ-12). A total score of GHQ-12>2 indicated high psychological distress. We performed a multiple logistic regression analysis to examine factors associated with psychological distress. Results: The mean age of the participants was 28.6 years (SD= 7.8). Of the total, 41.9% had high psychological distress – 49.7% in women and 37.3% in men. We included 1598 participants in the multiple logistic regression analysis. The adjusted odds of having high psychological distress was significantly higher among participants who were 25-34 years old (AOR 1.30, 95% CI 1.01-1.70) and 35 years and above (AOR 1.68, 95% CI 1.19-2.35), had been to a drug rehabilitation center (AOR 2.06, 95% CI 1.48-2.86), had been insulted by family members (AOR 2.09, 95% CI 1.62-2.70), and had been sexually harassed/abused by someone when they were growing up (AOR 1.80, 95% CI 1.38-2.36). The odds of having high psychological distress was significantly lower among participants who were male (AOR 0.53, 95% CI 0.41-0.69), lived in own dwelling (AOR 0.56, 95% CI 0.41-0.77), reported injecting as the mode of the first drug use (AOR 0.56, 95% CI 0.34-0.91), and had someone taking care of when getting sick (AOR 0.68, 95% CI 0.47-0.99).Conclusions: This study documents a high prevalence of psychological distress among people who use drugs in Cambodia. Intervention programs that attempt to address mental health problems among people who use drugs in resource-limited settings should be gender- and age-sensitive and target more marginalized subpopulations. Mental health services can be integrated into HIV and harm-reduction programs for people who use drugs.

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Depressive Symptoms among Haramaya University Students in Ethiopia: A Cross-Sectional Study

Depression Research and Treatment ◽

10.1155/2020/5027918 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9

Author(s):

Mitiku Teshome Hambisa ◽

Andualem Derese ◽

Tilahun Abdeta

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Regression Analysis ◽

Depressive Symptoms ◽

University Students ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Mental Health Problems ◽

Cross Sectional Study ◽

Cross Sectional

Background. The prevalence of mental health problems including depression is increasing in severity and number among higher institution students, and it has a lot of negative consequences like poor academic performance and committing suicide. Identifying the prevalence and associated factors of mental illness among higher institution students is important in order to administer appropriate preventions and interventions. In Ethiopia, only a few studies tried to report associated factors of depression among university students. Objective. The objective of this study was to determine the prevalence and factors associated with depressive symptoms among Haramaya University students, Ethiopia. Methods. Institution-based, cross-sectional study design was conducted among 1040 students. A standard, self-administered questionnaire was used to get data from a sample of randomly selected 1040 undergraduate university students using a multistage systematic random sampling technique. The questionnaire used was the Beck Depression Inventory (BDI) scale which is a self-report 21-item scale that is used to assess the presence of depressive symptoms. All 21 items are rated on a three-point scale (0 to 3). Each question is scored on a 0 to 3 scale, and total scores range from 0 to 63, with higher scores reflecting greater levels of depressive symptoms. The questionnaire has been well validated as a measure of depressive symptomatology with scores 1-13 indicating minimal depressive symptoms, 14-19 showing mild depressive symptoms, 20-28 showing moderate depressive symptoms, and 29-63 indicating severe depressive symptoms. Logistic regression analysis was used to identify variables independently associated with depressive symptoms after we dichotomized the depressive symptoms screening tool to “yes/no” depressive symptoms. This means students who did not report any depressive symptoms were given “no” depressive symptoms and who reported at least one (≥1) depressive symptoms were given “yes” (depressive symptoms). Results. A total of 1022 (98.3%) out of 1040 students participated in this study. The mean age of participants was 20.9 years (SD±2.17), and the majority of them (76.0%) were male students. Prevalence of depressive symptoms among undergraduate students was 26.8% (95% CI: 24.84, 28.76). Among those who had reported depressive symptoms: 10%, 12%, 4%, and 1% of students reported minimal, mild, moderate, and severe depressive symptoms, respectively. Multivariable logistic regression analysis in the final model revealed that being a first-year student (AOR 6.99, 95% CI: 2.31, 21.15, p value < 0.001), being a second-year student (AOR 6.25, 95% CI: 2.05, 19.07, p value < 0.001), and being a third-year student (AOR 3.85, 95% CI: 1.26, 11.78, p value < 0.018) and being divorced/widowed (AOR 5.91, 95% CI: 1.31, 26.72, p value < 0.021), current drinking alcohol (AOR 2.53, 95% CI: 1.72,3.72, p value < 0.001), current smoking cigarettes (AOR 1.71, 95% CI: 1.02, 2.86, p value < 0.042), and current use of illicit substances (AOR 2.20, 95% CI: 1.26, 3.85, p value < 0.006) were independently associated with depressive symptoms. Having no religion and currently chewing Khat were statistically significantly associated with depressive symptoms in the binary logistic regression analysis but not in the final model. Conclusions. The prevalence of depressive symptoms among university students in this study is high relative to the general population. Sociodemographic factors year of study and current substance use were identified as associated factors of depressive symptoms. Recommendations. This finding suggests the need for the provision of mental health services at the university, including screening, counseling, and effective treatment. Families need to closely follow their students’ health status by having good communication with the universities, and they have to play their great role in preventing depression and providing appropriate treatment as needed. The governments and policy-makers should stand with universities by supporting and establishing matured policies which helps universities to have mental health service centers. Generally, the university and other stakeholders should consider these identified associated factors for prevention and control of mental health problems of university students.

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Self-rated health is associated with subsequent functional decline among older adults in Japan

International Psychogeriatrics ◽

10.1017/s1041610217000692 ◽

2017 ◽

Vol 29 (9) ◽

pp. 1475-1483 ◽

Cited By ~ 6

Author(s):

Mayumi Hirosaki ◽

Kiyohito Okumiya ◽

Taizo Wada ◽

Masayuki Ishine ◽

Ryota Sakamoto ◽

...

Keyword(s):

Older Adults ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Functional Ability ◽

Multiple Logistic Regression Analysis ◽

Functional Decline ◽

Community Dwelling ◽

Self Rated Health ◽

Community Dwelling Older Adults

ABSTRACTBackground:Previous studies have reported that self-rated health (SRH) predicts subsequent mortality. However, less is known about the association between SRH and functional ability. The aim of this study was to examine whether SRH predicts decline in basic activities of daily living (ADL), even after adjustment for depression, among community-dwelling older adults in Japan.Methods:A three-year prospective cohort study was conducted among 654 residents aged 65 years and older without disability in performing basic ADL at baseline. SRH was assessed using a visual analogue scale (range; 0–100), and dichotomized into low and high groups. Information on functional ability, sociodemographic factors, depressive symptoms, and medical conditions were obtained using a self-administered questionnaire. Logistic regression analysis was used to examine the association between baseline SRH and functional decline three years later.Results:One hundred and eight (16.5%) participants reported a decline in basic ADL at the three-year follow-up. Multiple logistic regression analysis showed that the low SRH group had a higher risk for functional decline compared to the high SRH group, even after controlling for potential confounding factors (odds ratio (OR) = 2.4; 95% confidence interval (CI) = 1.3–4.4). Furthermore, a 10-point difference in SRH score was associated with subsequent functional decline (OR = 1.37; 95% CI = 1.16–1.61).Conclusions:SRH was an independent predictor of functional decline. SRH could be a simple assessment tool for predicting the loss or maintenance of functional ability in community-dwelling older adults. Positive self-evaluation might be useful to maintain an active lifestyle and stay healthy.

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The Prevalence of Headache and Associated Factors in Al-Kharj, Saudi Arabia: A Cross-Sectional Study

Pain Research and Management ◽

10.1155/2021/6682094 ◽

2021 ◽

Vol 2021 ◽

pp. 1-6

Author(s):

Daifallah Almalki ◽

Mamdouh M. Shubair ◽

Badr F Al-Khateeb ◽

Rawan Abdullah Obaid Alshammari ◽

Saeed Mastour Alshahrani ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Saudi Arabia ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Multiple Logistic Regression Analysis ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

Background. Only few studies have investigated the prevalence and risk factors of headaches among the Saudi population. The study aimed to estimate the prevalence of headache and to explore its associated risk factors Al-Kharj, Saudi Arabia. Methods. The multistage sampling technique was used to enroll 1200 population-based participants who were asked to complete a self-administered questionnaire about headaches, demographics, and several other parameters such as smoking status and different chronic and psychological illnesses. The chi-square test and multivariate logistic regression analysis were used to test the association. Results. The overall prevalence of headaches in this study was 3%. The multiple logistic regression analysis showed that females were more likely to have headaches than males (odds ratio (OR) 0.735, 95% confidence interval (CI) = 0.612–1.341; P = 0.024 ). Being a current smoker was also significantly associated with higher “odds” of having headache (OR = 1.319, 95% CI = 0.932–2.462; P = 0.037 ). Participants who were overweight had a significantly higher risk of headache (OR = 1.631, 95% CI = 1.48–1.854; P = 0.037 ). Nonmarried people were significantly more likely to have headache pain, compared to married individuals (OR = 0.875, 95% CI = 0.646–2.317; P = 0.047 ). Conclusion. The prevalence of headaches was 3%, and four significant associated factors were identified: females, nonmarried, smoking, and overweight. The temporality of the relationship between these factors and headache cannot be confirmed in this cross-sectional study; so future longitudinal studies are needed to confirm these potential causal relationships.

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Annual Disease Experience by Type and Correlations with Unmet Healthcare Needs among ROK Military Personnel

Military Medicine ◽

10.1093/milmed/usz458 ◽

2020 ◽

Vol 185 (7-8) ◽

pp. e944-e951

Author(s):

Hwi Jun Kim ◽

Sarah So Yeon Oh ◽

Dong Woo Choi ◽

Sun Yeong Won ◽

Hae Jung Kim ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Military Personnel ◽

Private Insurance ◽

Multiple Logistic Regression Analysis ◽

Healthcare Needs ◽

Unmet Healthcare Needs ◽

Number Of Patients ◽

Disease Experience

Abstract Introduction The National Statistical Yearbook of Defense 2018 issued by the Republic of Korea (ROK) Ministry of National Defense reported that the number of patients using military hospitals steadily increased from 2008 to 2017. However, in the outpatient clinic statistics for years 2015–2017 from the ROK Armed Forces Medical Command, the amount of medical care received from some medical departments, such as the infection medicine, surgery, and anesthesiology departments, decreased. Therefore, the purpose of this study was to observe the differences in incidence of military personnel’s unmet healthcare needs according to number of diseases by type. Materials and Methods The study used data from the Military Health Survey, which was conducted from 2014 to 2015 and included 5162 responses from ROK military personnel. The number of diseases by type and unmet healthcare needs were self-reported. A multiple logistic regression analysis was used to examine the validity of the annual disease experience by type and correlations with unmet healthcare needs. Results Of the 5162 military personnel, 25.2% experienced unmet healthcare needs, and the more people with the number of disease by type, the more likely they were to experience unmet healthcare needs (1: 13.4%, 2: 22.9%, 3: 29.2%, 4: 34.5%, 5: 41.4%). The logistic regression analysis also revealed significant differences (1 = REF, 2 odds ratio (OR) = 1.83, 95% confidence interval (CI): 1.50–2.24; 3 OR = 2.53, 95% CI: 2.05–3.11, 4 OR = 3.10, 95% CI = 2.49–3.85; ≥5 OR = 3.85, 95% CI = 3.08–4.81). In addition, subgroup analysis showed that female military personnel are more likely to experience unmet healthcare needs than are male military personnel. We have also confirmed that working areas and private insurance can affect unmet healthcare needs. Conclusion This study suggests that unmet healthcare needs are influenced by the number of disease by the type of ROK military personnel. It is therefore necessary to strive to reduce the number of military personnel who experience unmet healthcare needs through this data.

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