ABSTRACT
INTRODUCTION: Hyperhidrosis (HH) is a condition characterized by excessive sweating or perspiration. General population, especially in developing countries like India are seldom aware of this condition and sparsely seek medical attention. The tropical climate and the environment also influence this condition to a greater extent. This can be a hindrance in their professional and social life. Though, it is a widely explored topic, studies on hyperhidrosis from India are rare. AIM: The current study was aimed at estimating the prevalence of hyperhidrosis among college students subjectively and to assess the quality of life using Dermatology Life Quality Index (DLQI). MATERIALS AND METHODS: Five hundred students with age ranging from 17 to 21 years of both genders were included in this study using convenient sampling method. After explaining the study and getting written consent, the students were requested to respond to two questionnaires, one for the subjective diagnosis of hyperhidrosis using a standardized questionnaire developed by North Jersey Thoracic Surgical Associates and the other to assess the quality of life using DLQI. Based on the subjective prevalence scores, the students were divided into 3 groups as "Not bothersome" group, "Somewhat bothersome group" and "Extremely bothersome" group. The DLQI scores of these three groups were compared by ANOVA using SPSS 21.0. RESULTS: The study revealed that overall, 38% of the students were suffering from somewhat bothersome to extremely bothersome hyperhidrosis. Gender analysis showed that male students were affected more (58%), especially with palmar hyperhidrosis and were significantly requiring treatment when compared to female students. Analysis of DLQI scores using ANOVA revealed the fact that overall quality of life was significantly affected in almost 35% of students to the extent that they require appropriate treatment and care. CONCLUSION: This study brings into light the higher prevalence of hyperhidrosis and also its impact on the quality of life among college students in this tropical region.
ABSTRACT
BACKGROUND: Pranayama has been assigned very important role in yogic system of exercises and is said to be much more important than yogasanas for keeping sound health. Also different pranayamas produce divergent physiological effects. AIM: To study the effect of 12 weeks training of slow and fast pranayama on handgrip strength and endurance in young, healthy volunteers of JIPMER population. SETTINGS AND DESIGN: Present study was conducted in the Department of Physiology, JIPMER in 2011-12 (1.06.11 to 1.04.12). MATERIALS AND METHODS: Total of 91 volunteer subjects were randomised into slow pranayama (SPG) (n=29), fast pranayama (FPG) (n=32) and control groups (CG) (n=30). Supervised pranayama training (SPG - Nadisodhana, Pranav pranayama and Savitri pranayama; FPG - Kapalabhati, Bhastrika and Kukkuriya pranayama) was given for 30 minutes thrice a week for 12 weeks to both slow and fast pranayama groups by certified yoga trainer. Hand grip strength (HGS) and endurance (HGE) parameters were recorded using handgrip dynamometer (Rolex, India) at baseline and after 12 weeks of pranayama training. STATISTICAL ANALYSIS USED: Longitudinal changes in each group were compared by using Student's paired t-test. Delta changes in each group were analysed by ANOVA with Tukey post-hoc analysis. RESULTS: In SPG significant improvement occurred only in HGE parameter from 83.95±45.06 to 101.62±53.87 (seconds) (p<0.001) whereas in FPG, significant improvement was observed in HGS from 33.31±9.83 to 37.9±9.41 (Kilograms) (p=0.01) as well as in HGE from 92.78±41.37 to 116.56±58.54 (seconds) (p=0.004). Using Students unpaired t-test difference between the groups in HGS is found to be 1.17±5.485 in SPG and in FPG is 4.59±7.26 (p=0.39); HGE difference in SPG is 1.77±21.17 and in FPG is 2.38±43.27 (p>0.05). CONCLUSION: Pranayama training decreases sympathetic activity, resulting in mental relaxation and decreased autonomic arousal thereby, decreasing force fluctuations during isometric contraction. This is reflected as improvement in HGS and HGE.
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OBJECTIVES: To compare the cumulative effect of commonly practised slow and fast pranayama on cognitive functions in healthy volunteers. SETTINGS AND DESIGN: 84 participants who were in self-reported good health, who were in the age group of 18-25 years, who were randomized to fast pranayama, slow pranayama and control group with 28 participants in each group. MATERIAL AND METHODS: Fast pranayama included kapalabhati, bhastrika and kukkuriya. Slow pranayama included nadishodhana, Pranav and Savitri. Respective pranayama training was given for 35 minutes, three times per week, for a duration of 12 weeks under the supervision of a certified yoga trainer. Parameters were recorded before and after 12 weeks of intervention: Perceived stress scale (PSS), BMI, waist to hip ratio and cognitive parameters-letter cancellation test, trail making tests A and B, forward and reverse digit spans and auditory and visual reaction times for red light and green light. STATISTICAL ANALYSIS: Inter-group comparison was done by one way ANOVA and intra-group comparison was done by paired t-test. RESULTS AND CONCLUSION: Executive functions, PSS and reaction time improved significantly in both fast and slow pranayama groups, except reverse digit span, which showed an improvement only in fast pranayama group. In addition, percentage reduction in reaction time was significantly more in the fast pranayama group as compared to that in slow pranayama group. Both types of pranayamas are beneficial for cognitive functions, but fast pranayama has additional effects on executive function of manipulation in auditory working memory, central neural processing and sensory-motor performance.
ABSTRACT
Reaction time is one of the important methods to study a person's central information processing speed and coordinated peripheral movement response. Visual choice reaction time is a type of reaction time and is very important for drivers, pilots, security guards, and so forth. Previous studies were mainly on simple reaction time and there are very few studies on visual choice reaction time. The aim of our study was to compare the visual choice reaction time for red, green, and yellow colors of 60 healthy undergraduate female volunteers. After giving adequate practice, visual choice reaction time was recorded for red, green, and yellow colors using reaction time machine (RTM 608, Medicaid, Chandigarh). Repeated measures of ANOVA and Bonferroni multiple comparison were used for analysis and P < 0.05 was considered statistically significant. The results showed that both red and green had significantly less choice visual choice reaction (P values <0.0001 and 0.0002) when compared with yellow. This could be because individual color mental processing time for yellow color is more than red and green.
