2022
DOI: 10.1016/j.exger.2022.111833
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Relationship between handgrip strength and self-reported functional difficulties among older Indian adults: The role of self-rated health

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Cited by 15 publications
(19 citation statements)
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“…This variation in mean value can be explained mainly by the differences in methods and instruments used for assessing the levels of HGS, for example, there is an influence of handle‐shapes of dynamometers and posture and elbow position 55,56 . Similarly, study revealed that the HGS values differed and were lower in Asian countries compared to the developed countries 57 . The different levels of HGS in old age may also be explained by the fact that different bodies in various regions of the world could be attributed to different HGS 54 .…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…This variation in mean value can be explained mainly by the differences in methods and instruments used for assessing the levels of HGS, for example, there is an influence of handle‐shapes of dynamometers and posture and elbow position 55,56 . Similarly, study revealed that the HGS values differed and were lower in Asian countries compared to the developed countries 57 . The different levels of HGS in old age may also be explained by the fact that different bodies in various regions of the world could be attributed to different HGS 54 .…”
Section: Discussionmentioning
confidence: 97%
“…55,56 Similarly, study revealed that the HGS values differed and were lower in Asian countries compared to the developed countries. 57 The different levels of HGS in old age may also be explained by the fact that different bodies in various regions of the world could be attributed to different HGS. 54 Also, HGS is lower in the present study than a previous study from India that reported mean HGS was 28.2 kg among men and 18.5 kg among women, which might be due to age variation that considered in both studies as HGS decline with aging.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the KHB method allows researchers to include other confounding variables (as concomitants) into the models without the scale identification issue to control the decomposition of any potential confounding factors. The KHB method was increasingly used in recent population-based studies ( Kendig et al, 2017 ; Malaju et al, 2022 ; Muhammad et al, 2022 ) and is implemented by a user-written khb command in Stata which applies decomposition properties of linear models to the logit model. For all the analyses, STATA version 14.2 has been used.…”
Section: Methodsmentioning
confidence: 99%
“… 48 Self-rated health was available in a 5-point scale, representing excellent, very good, good, fair and poor. 49 Difficulty in activities of daily living (ADLs) was coded as ‘no’ and ‘yes’. ADL refers to normal daily self-care activities (such as movement in bed, changing position from sitting to standing, feeding, bathing, dressing, grooming, personal hygiene, etc).…”
Section: Introductionmentioning
confidence: 99%
“…On a scale of 0–10, the respondents who had three or more symptoms were considered as depressed 48. Self-rated health was available in a 5-point scale, representing excellent, very good, good, fair and poor 49. Difficulty in activities of daily living (ADLs) was coded as ‘no’ and ‘yes’.…”
Section: Introductionmentioning
confidence: 99%