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1.
Indian J Community Med ; 44(Suppl 1): S54-S56, 2019 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-31728092

RESUMEN

CONTEXT: Cardiovascular diseases (CVDs) are influenced by factors acting at all stages of life. Healthy lifestyle practices among adolescents and youth are crucial in preventing CVDs in the later years. Many barriers prevent young people from practicing healthy lifestyles. AIMS: The aim of this study is to identify barriers to healthy lifestyle among college-going students in Bengaluru Urban District. SETTINGS AND DESIGN: A cross-sectional study was conducted among 722 students aged 15-25 years, in a degree college in Bengaluru Urban district. SUBJECTS AND METHODS: A structured interview schedule with good internal consistency (Cronbach's alpha = 0.887), consisting of 50 questions scored on a 5-point Likert scale with five domains (diet, physical activity, tobacco use, alcohol consumption, and stress) was administered. The total score was classified into high-, moderate-, and low-barrier categories using percentiles. The barrier score for each domain and for each individual question was computed by multiplying the weight of the responses by their frequencies. STATISTICAL ANALYSIS USED: Barriers to healthy lifestyle and its association with sociodemographic variables were analyzed using inferential statistics such as t-test and ANOVA. Significant factors were entered into a multiple linear regression model. RESULTS: The domain of stress emerged as the topmost barrier followed by diet. The main factors responsible for stress among college students were examinations (74.9%), long hours of the study (71.1%), and lack of time (69.6%). CONCLUSIONS: Barriers to healthy lifestyle are common among adolescents and youth. The topmost barriers identified were stress- and diet-related barriers.

2.
Indian J Community Med ; 44(Suppl 1): S70-S73, 2019 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-31728096

RESUMEN

BACKGROUND: Intimate partner violence (IPV) is a risk factor for depression among women. Spousal alcoholism and marital quality are associated with both depression and spousal abuse Knowledge about the factors contributing to IPV in depression will enable us to have interventions to address IPV in tandem with treating depression. OBJECTIVES: (1) To estimate the prevalence of IPV in women treated for depression in a rural community health-care facility in Bengaluru Urban District. (2) To assess the association between IPV and various other factors in women treated for depression in a rural community health care facility. METHODOLOGY: A cross-sectional study was conducted among ever-married women above 18 years, registered under mental health program in the mental health clinic in Mugalur, Karnataka, and currently on treatment for depression. The women who consented were interviewed using structured questionnaires - WHOQOL-BREF, standard of living index, Hamilton Depression Rating Scale, Index of Spouse Abuse, family interview for genetic studies for reported alcohol use, and marital quality scale. RESULTS: The mean age of the study participants was 49.7 ± 13.2 years. The prevalence of physical IPV and non-physical IPV was found to be 18% and 7%, respectively. Marital quality was significantly lower among women who experienced IPV. Women with husbands who ever used alcohol were found to have six times more risk of experiencing physical IPV, odd ratio 6.193 (1.595, 24.047). CONCLUSION: Health education, involvement of self-help groups, and awareness programs are required to alleviate IPV.

3.
Indian J Community Med ; 44(1): 39-43, 2019.
Artículo en Inglés | MEDLINE | ID: mdl-30983712

RESUMEN

INTRODUCTION: Type 2 diabetes mellitus problem is progressively rising every day. The adherence to the treatment approaches and health-seeking make major difference in case of diabetics particularly elderly. Visual tools improve the involvement of patients in their care, especially among populations with low health literacy. OBJECTIVE: To evaluate the effectiveness of color-coded diabetic control monitoring charts on glycemic control among elderly diabetics. METHODOLOGY: 144 elderly diabetic patients attending rural primary care geriatric clinics were randomized into two groups. Those randomized to the intervention group received the color-coded diabetic monitoring chart and a health education package in addition to the usual consultation services. Baseline and 1-year follow-up glycated hemoglobin (HbA1C) values were used to assess the effectiveness of the intervention. RESULTS: The results of multivariate linear regression analysis showed that there was an average reduction of 0.265% in HbA1C value in the intervention group when compared to the nonintervention group when adjusted for baseline HbA1C and number of visits during the intervention period (ß coefficient = 0.265, P < 0.05). CONCLUSION: Color-coded diabetes charts are effective in achieving glycemic control among elderly diabetics, and steps should be made to inculcate visually appealing management approaches in case of elderly diabetic patients.

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