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Title:
REAL-TIME SELF-WEIGHING INTERVENTION FOR WEIGHT MANAGEMENT
Document Type and Number:
WIPO Patent Application WO/2017/122218
Kind Code:
A1
Abstract:
The invention relates to a system for weigh management creating real-time mental feedback loop. The real-time force (F) and pressure (P) signal is transmitted via force and pressure sensor pad located in the footwear of the subject to the mobile device of the subject. The force and pressure signal are calibrated to convey real-time weight (W) information to the subject. This information will establish mental feedback loops to control body weight and help subjects to gain, loose or maintain body weight.

Inventors:
GUPTA NEERAJ (MY)
Application Number:
PCT/IN2016/050080
Publication Date:
July 20, 2017
Filing Date:
March 05, 2016
Export Citation:
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Assignee:
GUPTA NEERAJ (MY)
International Classes:
G01L1/00; A43B3/00; G01G19/00
Domestic Patent References:
WO2008023978A12008-02-28
Foreign References:
DE19614076A11997-10-16
Download PDF:
Claims:
CLAIMS 1. The invention relates to a system for weigh management creating real-time mental feedback loop. The real-time force (F) and pressure (P) signal is transmitted via force and pressure sensor pad located in the footwear of the subject to the mobile device of the subject. The force and pressure signal are calibrated to convey real-time weight (W) information to the subject. This information will establish mental feedback loops to control body weight and help subjects to gain, lose or maintain body weight. 2. There is at least one or few weight/load/pressure sensors in the soles of the footwear which are calibrated to measure the subject's weight. These weight sensors can be easily adapted to a different footwear conveniently by the subject. 3. The invention will allow measurement of body weight over extended period of time (over years) as desired/required by the user. 4. The invention will be helpful in calculating the optimum frequency of self- weighing for successful weight management outcomes and maintenance. 5. The measurement values are transferred to the "mobile application" in the mobile device of the subject via Bluetooth / wireless technology. 6. The "mobile application" will store the data and display the real-time weight as well as past recorded weigh values. The body weight information is further analyzed by using statistics software installed the "mobile application". The body weight 86 information can be displayed using graphs, charts, tables etc. or any other means for

87 comphrensive understanding of the user. 88

89 7. The weight data can also be used to compute other health data like Body mass index

90 (BMI) and other such parameters which uses body weight for calculations like total

91 body fat, lean body mass, etc. 92

93 8. The data can be easily transferred to the computer, online, cloud for third party

94 (health personal etc.) in real-time and offline for storing, sharing and desired

95 interventions. 96

97 9. The data will be stored and can retrieved by the subject as graphical representation

98 and other formats. 99

100 10. This invention can provide real-time weight of the subject. So, situations which

101 require real-time weight measurement of humans, animals are covered in the scope

102 of this invention. 103

104 11. Since the weight measuring system is easily transferrable to a new footwear, the

105 system is not restricted to be used in any particular kind of footwear in any manner.

106 The user is free to choose any kind of footwear to use this invention.

107

108

109 12. Since, this intervention is for weight management it is not merely to reduce weight

110 as stated above. This intervention can also be used to gain, maintain or lose weight

111 as desired by the subject.

112

Description:
Real-time self-weighing intervention for weight management. DESRIPTION: Obesity is a serious public health problem that has major implications for longevity, quality of life and healthcare costs (Flegal, Kit, Orpana, & Graubard, 2013). Self-monitoring is one of the effective intervention of behavioral treatment for weight loss (Acharya et al., 2009; Burke, Wang, & Sevick, 2011). It is a method of systematic self- observation and recording of target behaviors with the goal of increasing self-awareness (Wilde & Garvin, 2007). Self-weighing has also been recommended as part of the AHA/ACC/TOS Guidelines for Managing Overweight and Obesity in Adults from the National Heart, Lung, and Blood Institute (Jensen et al., 2014). Recent studies have provided evidences that regular self-weighing has been positively associated with weight loss with no negative psychological outcomes (Kong et al., 2012; VanWormer et al, 2009; Welsh, Sherwood, VanWormer, Hotop, & Jeffery, 2009). Albeit, studies have reported that increasing the frequency of self-weighing has better outcomes. (Lally, Chipperfield, & Wardle, 2008; VanWormer, Linde, Harnack, Stovitz, & Jeffery, 2012; Welsh et al., 2009; Wing et al, 2007). Nevertheless, the frequency or dose of self-weighing for successful outcome is still unknown (Zheng et al, 2015).

Invention concept: This invention is designed to manage a person's weight by real-time self-weighing intervention. See figure 1. 1. There is at least one or few weight/load/pressure sensors in the soles of the footwear which are calibrated to measure the subject's weight. These weight sensors can be easily adapted to a different footwear conveniently by the subject.

2. The measurement values are transferred to the "mobile application" in the mobile device of the subject via Bluetooth / wireless technology.

3. The "mobile application" will store the data and display the real-time weight as well as past recorded body weigh values. The body weight information is further analyzed by the "mobile application" using statistics. The body weight information can be displayed using graphs, charts, tables etc. for comphrensive understanding of the user.

4. The weight data can also be used to compute other health data like Body mass index (BMI) and other such parameters which uses body weight for calculations like total body fat, lean body mass, etc.

5. The data can be easily transferred to the computer, online, cloud for third party (health personal etc.) for sharing and desired interventions.

6. The invention will allow measurement of body weight over extended period of time (over years) as desired/required by the user.

7. Since the weight measuring system is easily transferrable to a new footwear, the system is not restricted to be used in any particular footwear in any manner.

8. The user is free to choose and use the invention in any kind of footwear. 9. Since, this intervention is for weight management it is not merely to reduce weight. This intervention can also be used to gain, maintain or lose weight as desired by the subject. 10. This invention can provide real-time weight of the subject. So, situations which require real-time weight measurement of humans, animals are covered in scope of this invention.

113 References:

114

115 Acharya, S. D., Elci, O. U., Sereika, S. M., Music, E., Styn, M. A., Turk, M. W., & Burke, L. E.

116 (2009). Adherence to a behavioral weight loss treatment program enhances weight loss

117 and improvements in biomarkers. Patient preference and adherence, 3, 151.

118 Burke, L. E., Wang, I, & Sevick, M. A. (2011). Self-Monitoring in Weight Loss: A Systematic

119 Review of the Literature. Journal of the American Dietetic Association, 111(1), 92- 102.

120 doi: http://dx.doi.Org/10.1016/j.jada.2010.10.008

121 Flegal, K. M., Kit, B. K, Orpana, H., & Graubard, B. I. (2013). Association of all-cause mortality

122 with overweight and obesity using standard body mass index categories: a systematic

123 review and meta-analysis. Jama, 309(1), 71-82.

124 Jensen, M., Ryan, D., Donato, K, Apovian, C, Ard, J., Comuzzie, A., . . . Kushner, R. (2014).

125 Guidelines (2013) for managing overweight and obesity in adults. Obesity, 22(S2), Sl-

126 S410.

127 Kong, A., Beresford, S. A., Alfano, C. M., Foster-Schubert, K. E., Neuhouser, M. L., Johnson, D.

128 B., . . . Jeffery, R. W. (2012). Self-monitoring and eating-related behaviors are associated

129 with 12-month weight loss in postmenopausal overweight-to-obese women. Journal of the

130 Academy of Nutrition and Dietetics, 112(9), 1428-1435.

131 Lally, P., Chipperfield, A., & Wardle, J. (2008). Healthy habits: efficacy of simple advice on

132 weight control based on a habit-formation model. International journal of obesity, 32(4),

133 700-707.

134 VanWormer, J. J., Linde, J. A., Harnack, L. J., Stovitz, S. D., & Jeffery, R. W. (2012). Self-

135 weighing frequency is associated with weight gain prevention over 2 years among working

136 adults. International journal of behavioral medicine, 19(3), 351-358.

137 VanWormer, J. J., Martinez, A. M., Martinson, B. C, Crain, A., Benson, G. A., Cosentino, D. L.,

138 & Pronk, N. P. (2009). Self-weighing promotes weight loss for obese adults. American

139 journal of preventive medicine, 36(\), 70-73.

140 Welsh, E. M., Sherwood, N. E., VanWormer, J. J., Hotop, A. M., & Jeffery, R. W. (2009). Is

141 frequent self- weighing associated with poorer body satisfaction? Findings from a phone-

142 based weight loss trial. Journal of nutrition education and behavior, 41(6), 425-428.

143 Wilde, M. H., & Garvin, S. (2007). A concept analysis of self-monitoring. Journal of Advanced

144 Nursing, 57(3), 339-350.

145 Wing, R. R, Tate, D. F., Gonn, A. A., Raynor, H. A., Fava, J. L., & Machan, J. (2007). " STOP

146 regain": Are there negative effects of daily weighing? Journal of consulting and clinical

147 psychology, 75(4), 652.

148 Zheng, Y., Klem, M. L., Sereika, S. M., Danford, C. A., Ewing, L. J., & Burke, L. E. (2015). Self-

149 weighing in weight management: A systematic literature review. Obesity, 23(2), 256-265.

150

151