Factors related to the physical capacity of upper and lower limbs in quilombola elderly people

Furtado, Brenda Natally Soares; Olinda, Ricardo Alves de; Costa, Gabriela Maria Cavalcanti; Menezes, Tarciana Nobre de

doi:10.1590/1413-812320212610.11252021

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ARTICLE • Ciênc. saúde coletiva 26 (10) • Oct 2021 • https://doi.org/10.1590/1413-812320212610.11252021 copy

Factors related to the physical capacity of upper and lower limbs in quilombola elderly people

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

This paper aimed to assess the factors related to the physical capacity of upper and lower limbs in quilombola older adults. This is a cross-sectional, analytic study performed with elderly residents in the quilombola community Caiana dos Crioulos, Alagoa Grande, Paraíba, Brazil. The researched dependent variables were the physical capacity of upper and lower limbs. It was performed the Spearman correlation and multiple and linear simple regression (95% CI; p<0.05). This work was performed per Resolution 466/2012 from National Health Council. Forty-three older adults were assessed. The bivariate analyses showed a positive correlation between handgrip strength (HGS) and physical activity (PA), between HGS and arm muscle circumference (AMC), and an inverse correlation between Short Physical Performance Battery (SPPB) and age. The multiple-model for HGS was significantly correlated with age, AMC, and years of study (R²=0.374; p<0.05). Regarding the SPPB, it showed a significant correlation with age (R²=0.2524; p=0.001). Therefore, the muscle mass reserve, years of study, and age were factors related to the physical capacity among quilombola older adults. The strict compliance of these aspects and the early intervention can preserve physical capacity and ensure the productive inclusion and economic autonomy so much sought in the communities’ social agenda.

Key words:
Elderly health; Physical functional performance; Ethnic groups; African Continental Ancestry Group

Variables	Mean	Standard diviation	Mean	Maximum	Minimum	1^st Quartile	3^rd Quartile
HGS (kgf)	22,44	8,93	22,7	47,3	7,6	15,8	27,2
SPPB (points)	8,47	2,09	9	12	4	7	12
Age (years)	70,74	6,66	70	83	60	65,5	75
Socioeconomic level (points)	12,6	2,8	12	22	7	11	14
Per capita household income (R$)	868.899	520,21	748,5	1.996	166,3	487	998
Humber of household residents	2.84	1.56	2	7	1	2	4
Years of study	0.65	1	0	4	0	0	1
GDS15 (points)	3.42	2.34	3	11	1	2	4
PA (METs-min/week)	5.725,09	6.986,98	2.388	27.540	0	873	8.418,5
Sedentary behavior (min/week)	207,31	145,42	197,14	720	30	111,42	300
Number of reported morbidities	1,54	1,25	1	5	0	1	2
Number of falls	0,44	0,73	0	2	0	0	1
BMI (kg/m2)	26,92	4,87	26,98	37,38	17,17	23,38	30,41
AMC (cm)	22,39	3,63	21,98	31,13	15,68	19,23	25,62
CP (cm)	33,41	4,22	33,9	40,9	21,6	30,65	36,5
WC (cm)	92,71	12,73	93	121,8	62,46	85	101,9

Variables	Hand grip strength (HGS)
Variables	r (95% CI)	p- value	Estimated β0 (p-value)	Estimated β1	R²	p- value
Age	-0.179 (-0.452 - 0.136)	0.250	-40.600 (0.008) *	-0.256	0.036	0.218
Socioeconomic level (points)	0.154 (-0.136 - 0.439)	0.322	15.330 (0.019) *	0.564	0.031	0.256
Per capita household income (R$)	-0.192 (-0.500 -0.126)	0.216	25.468 (<0.0001)	-0.003	0.041	0.192
Years of study	-0.250 (-0.507 - 0.044)	0.104	23.621 (<0.0001)	-1.815	0.041	0.193
Humber of household residents	0.114 (-0.198 - 0.440)	0.465	20.482 (<0.0001)	0.689	0.014	0.442
GDS15 (points)	-0.285 (-0.551 - 0.017)	0.063	25.437 (<0.0001)	-0.877	0.052	0.138
PA (METs-min/week)	0.212 (-0.132 - 0.490)	0.170	19.69 (<0.0001)	0.0004	0.141	0.013*
Sedentary behavior (min/week)	0.071 (-0.284 - 0.384)	0.648	20.465 (<0.0001)	0.009	0.024	0.321
Number of reported morbidities	-0.087 (-0.394 - 0.232)	0.586	23.664 (<0.0001)	-0.765	0.010	0.516
Number of falls	-0.173 (-0.438 - 0.112)	0.265	23.572 (<0.0001)	-2.564	0.044	0.175
BMI (kg/m2)	0.099 (-0.214 - 0.371)	0.527	17.632 (0.029) *	0.178	0.009	0.534
AMC (cm)	0.478 (0.222 - 0.680)	0.001*	-4.400 (0.565)	1.199	0.237	0.0009*
PP (cm)	0.199 (-0.108 - 0.498)	0.198	4.259 (0.694)	0.544	0.065	0.096
WC (cm)	0.077 (-0.264 - 0.381)	0.620	12.592 (0.221)	0.106	0.022	0.333

Variables	Short Physical Performance Battery (SPPB)
Variables	r (95% CI)	p- value	Estimated β0 (p-value)	Estimated β1	R²	p- value
Age	-0.467 (-0.675 - 0.209)	0.001*	19.238 (<0.0001)	-0.152	0.236	0.0009*
Socioeconomic level (points)	-0.144 (-0.427 - 0.167)	0.354	10.262 (<0.0001)	-0.142	0.036	0.218
Per capita household income (R$)	-0.302 (-0.562 - 0.014)	0.048*	9.132 (<0.0001)	-0.000	0.036	0.218
Years of study	0.119 (-0.191 - 0.379)	0.445	8.169 (<0.0001)	0.454	0.047	0.162
Humber of household residents	0.207 (-0.098 - 0.469)	0.180	7.817 (<0.0001)	0.228	0.029	0.274
GDS15 (points)	-0.142 (0.424 - 0.158)	0.360	8.737 (<0.0001)	-0.079	0.008	0.568
PA (METs-min/week)	0.318 (-0.0364 - 0.589)	0.037*	7.962 (<0.0001)	0.000	0.086	0.055
Sedentary behavior (min/week)	-0.195 (-0.5006 - 0.123)	0.208	8.901 (<0.0001)	-0.002	0.021	0.348
Number of reported morbidities	-0.172 (-0.4906 - 0.184)	0.281	9.098 (<0.0001)	-0.397	0.054	0.142
Number of falls	-0.076 (-0.3702 - 0.213)	0.626	8.461 (<0.0001)	0.007	0.000	0.987
BMI (kg/m2)	0.066 (-0.235 - 0.3604)	0.670	7.349 (0.0002) *	0.041	0.009	0.536
AMC (cm)	0.085 (-0.205 - 0.378)	0.584	7.890 (0.0003) *	0.025	0.002	0.775
PP (cm)	0.128 (-0.2102 - 0.419)	0.412	5.178 (0.048) *	0.098	0.039	0.201
WC (cm)	-0.010 (-0.303 - 0.294)	0.947	8.402 (0.001) *	0.0006	0.00001	0.979

	Variables	R²	β1	Standard error	T-Statistic	p-value
Handgrip strength (HGS)		0.374
	Intercept		21.376	13.8408	1.544	0.1305
	Age		-0.373	0.173	-2.15	0.037*
	AMC (cm)		1.305	0.313	4.163	0.0001*
	Years of study		-2.726	1.162	-2.346	0.024*
Short Physical Performance Battery (SPPB)		0.2524
	Intercept		19.918	3.176	6.270	<0.0001
	Age		-0.15003	0.044	-3.354	0.00178*
	Socioeconomic level (points)		-0.074	0.104	-0.706	0.484
	Number of falls		0.213	0.398	0.536	0.595

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[1] Collaborations

BNS Furtado participated in data collection, literature review, interpretation and discussion of data, writing, review, and paper approval. RA Olinda participated in the statistical analysis, data interpretation, and writing of the paper. GMC Costa participated in the literature review, interpretation, and discussion of data, writing, and review.