Environmental and human behavioral factors associated with Vulvovaginal Candidiasis among single and married Women in Eket

Medication nonadherence is associated with an increased risk of complications in hypertensive patients. We investigated behavioral factors associated with medication nonadherence in hypertensive patients in southern Taiwan. Using questionnaires, we collected data regarding clinicodemographic characteristics and nonadherence behaviors from 238 hypertensive patients. We assessed the self-reported prevalence of specific behaviors of medication nonadherence and investigated factors associated with each behavior using multivariable logistic regression analysis. The most common behavior of medication nonadherence was forgetting to take medication (28.6%), followed by discontinuing medication (9.2%) and reducing the medication dose (8.8%). Age ≥ 65 years (adjusted odds ratio [aOR] = 0.32, 95% confidence interval [CI] = 0.15–0.69) and male sex (aOR = 2.61, CI = 1.31–5.19) were associated with forgetting to take medication. The presence of comorbidities (diabetes, kidney disease, or both) and insomnia (aOR = 3.97, 95% CI = 1.30–12.1) was associated with reducing the medication dose. The use of diet supplements was associated with discontinuing the medication (aOR = 4.82, 95% CI = 1.50–15.5). Compliance with a low oil/sugar/sodium diet was a protective factor against discontinuing medication (aOR = 0.14; 95% CI = 0.03–0.75). The most pervasive behavior associated with medication nonadherence among hypertensive patients was forgetting to take medication. Age <65 years, male sex, comorbidities, insomnia, noncompliance with diet, and the use of dietary supplements were specifically associated with medication nonadherence.

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Factors Associated with Unmet Need for Family Planning among Married Reproductive Age Women in Toke Kutaye District, Oromia, Ethiopia

International Journal of Reproductive Medicine ◽

10.1155/2021/5514498 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Abebe Tadesse G/Meskel ◽

Habtamu Oljira Desta ◽

Elias Teferi Bala

Keyword(s):

Family Planning ◽

Maternal Education ◽

Health Workers ◽

Unmet Need ◽

Married Women ◽

Reproductive Age ◽

Cross Sectional ◽

Factors Associated ◽

Reproductive Age Women ◽

Living Children

Background. It is estimated that more than 142 million married women in developing countries have an unmet need for family planning. This study is aimed at identifying factors associated with the unmet need of family planning among married women of reproductive age in Toke Kutaye district, Ethiopia in 2019. Methods. A community-based cross-sectional study was conducted in Toke Kutaye district from March 1–30, 2019. A systematic random sampling technique was used to select 494 reproductive-age women who were married during data collection. Data were collected using a pretested structured questionnaire. Bivariate and multivariate logistic regression analyses were used to assess factors associated with the unmet need of family planning at 95% CI with a p value of ≤ 0.05. Result. The prevalence of unmet need for family planning in the Toke Kutaye district was 23.1% [95% CI (19.2-26.7)], with 15.2% for spacing and 7.9% for limiting. Women’s education [AOR, 3.64, 95% CI: 1.43-9.25], number of living children [AOR, 2.63, 95% CI: 1.37-5.05], husband disapproval of family planning [AOR, 3.68, 95% CI: 2.20-6.16], and discussion with healthcare providers on family planning [AOR, 0.20, 95% CI: 0.13-0.37] were significantly associated with unmet need for family planning. Conclusion. The prevalence of unmet need for family planning was high. Therefore, program managers, partners, and health workers should work to address the gaps in maternal education, the number of living children, partner disapproval of family planning, and discussion on family planning issues through enhancing female education, awareness on family planning, and male involvement in family planning services.

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Socio-Behavioral Factors Associated with Overweight and Central Obesity in Tehranian Adults: a Structural Equation Model

International Journal of Behavioral Medicine ◽

10.1007/s12529-016-9574-7 ◽

2016 ◽

Vol 24 (1) ◽

pp. 110-119 ◽

Cited By ~ 2

Author(s):

Sara Jalali-Farahani ◽

Parisa Amiri ◽

Mehrdad Karimi ◽

Safoora Gharibzadeh ◽

Parvin Mirmiran ◽

...

Keyword(s):

Structural Equation Model ◽

Structural Equation ◽

Central Obesity ◽

Equation Model ◽

Behavioral Factors ◽

Factors Associated

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Factors associated with the utilization of reproductive health services among the Bangladeshi married women: analysis of national representative MICS 2019 data

Midwifery ◽

10.1016/j.midw.2021.103139 ◽

2021 ◽

pp. 103139

Author(s):

Md. Sabbir Ahmed ◽

Safayet Khan ◽

Fakir Md Yunus

Keyword(s):

Reproductive Health ◽

Health Services ◽

Married Women ◽

Reproductive Health Services ◽

Factors Associated

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Explainable Machine Learning Analysis of Neuro-Behavioral Factors Associated With Marijuana Use Outcomes

Biological Psychiatry ◽

10.1016/j.biopsych.2020.02.1005 ◽

2020 ◽

Vol 87 (9) ◽

pp. S393

Author(s):

Gregory Niklason ◽

Eric Rawls ◽

Sisi Ma ◽

Erich Kummerfeld ◽

Sheila Specker ◽

...

Keyword(s):

Machine Learning ◽

Marijuana Use ◽

Behavioral Factors ◽

Factors Associated ◽

Learning Analysis

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China’s Youth in NEET (Not in Education, Employment, or Training): Evidence from a National Survey

The Annals of the American Academy of Political and Social Science ◽

10.1177/0002716220909807 ◽

2020 ◽

Vol 688 (1) ◽

pp. 171-189

Author(s):

Yi Yang

Keyword(s):

Risk Factors ◽

Public Policy ◽

Married Women ◽

Multilevel Logistic Regression ◽

Protective Effects ◽

Men And Women ◽

Future Studies ◽

Factors Associated ◽

Force Dynamics ◽

Female Migrants

This study aims to understand the prevalence and characteristics of individuals aged 16 to 35 who are not in education, employment, or training (NEET) and the risk factors associated with being in NEET in China. The analysis uses the 2012 China Labor-Force Dynamics Survey to show that the NEET rate was 8 percent during the study period. Multilevel logistic regression indicates that women were more likely to be in NEET. Married women and female migrants had significantly higher risks of being in NEET, with migration having opposite effects for men and women. Education had protective effects against being in NEET, especially for women. Age had a nonlinear effect, with individuals aged 22 to 25 at the highest risk of being in NEET. I discuss implications for public policy and directions for future studies on NEET in China.

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