The Effect Of Resistance Training On Anxiety, Depression, Fatigue, And Sleep

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Also, we know anxiety and depression are viewed as underlying causes of low self-esteem. Those who suffer from low self-esteem tend to experience some type of fear and anxiety. O’connor, Herring, and Caravalho (2010) systematically review evidence that supports resistance training influencing anxiety, depression, fatigue, self-esteem, and sleep. Nevermore, many of the outcomes seem to share a biological influence. The neural mechanisms that underlie and regulate our health outcomes are largely discrete. However, a common mechanism is suggested by the proposed social and psychological explanations for mental health improvements after strength training. After strength training, O’connor et al. (2010) found symptoms of poor sleep were…show more content…
Limitations of These Studies The discrepancies identified throughout my literature review may be a result of numerous limitations. These limitations can result from demographic restraints, modality, and sample size. Each of these limitations will be discussed further below. Demographic limitations. Singh, N. A et al. (2005) reviewed studies that focused on the intensity of resistance training and the effect it had on older adult’s mental health. The ambiguity is derived from the wide range of older adults that participated in the study. Furthermore, participants aged from 60-85 years old. In this case, social competence may be lower in older adults, particular because they may be alone. Thus, may cause skewness within the data, because being surrounded by other individuals may have boosted their self-esteem instantly. Sample size limitations. In Faigenbaum et al. (1997) study the sample size consisted of 15 adolescents for the experimental group and 9 adolescents for the control group. Even though the results showed a positive correlation between resistance training and mental health, a study with a small sample size has a reduced change of detecting a true relationship. In addition, Moore et al. (2011) study had uneven numbers among men and women within the sample, which can reduce the statistical power of the test and increase the number of
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