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      Weight-based teasing and depressive symptoms among Indian college students: exploring the moderating effect of gratitude

      , ,
      Kybernetes
      Emerald

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          Abstract

          Purpose

          This instant study explores the relationship between weight-based teasing and depressive symptoms in Indian college students. It further investigates the moderating effect of gratitude on depressive symptoms occurring due to weight-based teasing.

          Design/methodology/approach

          The study is theoretically based on Fredrickson's broaden-and-built theory (2001). PROCESS macro in IBM SPSS v21 was used to analyze the effect of gratitude in moderation of weight-based teasing and depressive symptoms. The study used correlation and regression analysis to assess the relationship between weight-based teasing and depressive symptoms.

          Findings

          The study has confirmed that weight-based teasing results in the development of depressive symptoms in Indian college students. The study has also revealed that gratitude casts a significant moderating effect on depression due to weight-based teasing, i.e. a reduction in regression weight of weight-based teasing.

          Originality/value

          This study is the first of its kind in India and will significantly add to the national literature on teasing and depression. Further, the study will help stakeholders like educators and policymakers to formulate psychological programs based on positive psychology 2.0 and gratitude to combat the rising issue of body shaming in India.

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          Most cited references96

          • Record: found
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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            • Record: found
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            The PHQ-9

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              • Record: found
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              Sources of method bias in social science research and recommendations on how to control it.

              Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.
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                Author and article information

                Contributors
                Journal
                Kybernetes
                K
                Emerald
                0368-492X
                March 14 2023
                March 14 2023
                Article
                10.1108/K-10-2022-1486
                a1eefb9a-55be-448c-984b-dd3fd228611c
                © 2023

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